The present disclosure relates generally to displaying a healthy building dashboard. More particularly, the present disclosure relates to displaying a healthy building dashboard enabled by a hierarchal model of building control assets.
Building control systems can include a large number of control assets that are divided between parts of a building or other facility, between different buildings or facilities within a region, and/or between different geographic regions in which a particular enterprise has ongoing operations. The building control assets may be used to gather healthy building data across the building control system. However, presenting such healthy building data to a user in an intuitive way can be a challenge.
The present disclosure relates to presenting healthy building data in a healthy building dashboard format that provides insight into overall compliance with healthy building guidelines as well as insight as to sources of non-compliance using a spatial hierarchal model. In one example, a method provides for monitoring compliance with healthy building guidelines within a spatial hierarchal model that provides spatial context to a plurality of building control assets that are disposed within a plurality of hierarchal levels of the spatial hierarchal model. The healthy building guidelines are based at least in part on one or more healthy building criteria. The illustrative method includes allowing a user to select a particular hierarchical level of the spatial hierarchical model. Non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model are identified. The non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model are aggregated. A healthy building dashboard is generated that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model. The healthy building dashboard is displayed on a display. A user is allowed to select a different hierarchical level of the spatial hierarchical model. Non-compliance events are identified that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model. The non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model are aggregated. An updated healthy building dashboard that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model is generated and is displayed on a display.
Another example is a method of monitoring compliance with healthy building criteria within a spatial hierarchical model that provides spatial context to a plurality of building control assets disposed within a plurality of hierarchical levels of the spatial hierarchical model. The method includes identifying non-compliance events that are non-compliant with one or more of the healthy building criteria of healthy building guidelines detected by building control assets disposed at and below a particular hierarchical level of the spatial hierarchical model. The non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model over a period of time are aggregated and a healthy building dashboard that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model is generated and is displayed on a display.
Another example is a method of monitoring compliance with healthy building criteria within a spatial hierarchical model that provides spatial context to a plurality of building control assets disposed within a plurality of hierarchical levels of the spatial hierarchical model, at least some of the plurality of building control assets including video cameras. The method includes allowing a user to select a particular hierarchical level of the spatial hierarchical model and to obtain video streams over a period of time from video cameras disposed at or below the particular hierarchical level of the spatial hierarchical model. Video analytics are performed on the video streams over the period of time in order to identify non-compliance events that are non-compliant with one or more of the healthy building criteria of healthy building guidelines. The non-compliance events for each of the one or more of the healthy building criteria detected by the video cameras disposed at and below the particular hierarchical level of the spatial hierarchical model are aggregated. A healthy building dashboard that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by the video cameras disposed at and below the particular hierarchical level of the spatial hierarchical model is generated and is displayed.
The preceding summary is provided to facilitate an understanding of some of the innovative features unique to the present disclosure and is not intended to be a full description. A full appreciation of the disclosure can be gained by taking the entire specification, claims, figures, and abstract as a whole.
The disclosure may be more completely understood in consideration of the following description of various examples in connection with the accompanying drawings, in which:
While the disclosure is amenable to various modifications and alternative forms, specifics thereof have been shown by way of example in the drawings and will be described in detail. It should be understood, however, that the intention is not to limit the disclosure to the particular examples described. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure.
The following description should be read with reference to the drawings, in which like elements in different drawings are numbered in like fashion. The drawings, which are not necessarily to scale, depict examples that are not intended to limit the scope of the disclosure. Although examples are illustrated for the various elements, those skilled in the art will recognize that many of the examples provided have suitable alternatives that may be utilized.
All numbers are herein assumed to be modified by the term “about”, unless the content clearly dictates otherwise. The recitation of numerical ranges by endpoints includes all numbers subsumed within that range (e.g., 1 to 5 includes 1, 1.5, 2, 2.75, 3, 3.80, 4, and 5).
As used in this specification and the appended claims, the singular forms “a”, “an”, and “the” include the plural referents unless the content clearly dictates otherwise. As used in this specification and the appended claims, the term “or” is generally employed in its sense including “and/or” unless the content clearly dictates otherwise.
It is noted that references in the specification to “an embodiment”, “some embodiments”, “other embodiments”, etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is contemplated that the feature, structure, or characteristic may be applied to other embodiments whether or not explicitly described unless clearly stated to the contrary.
The system 10 may include any number of groups of assets 12. Each group of assets 12 may include any of a variety of different assets. Examples of assets include but are not limited to devices such as cameras and access control devices, door alarms, window alarms and the like. Assets may include a variety of different types of sensors, such as but not limited to temperature sensors, humidity sensors, occupancy sensors, lighting sensors and the like. In some cases, the assets included within each of the groups of assets 12 may include Heating, Ventilating and Air Conditioning (HVAC) system components such as heating sources and cooling sources. In some cases, at least some of the assets within one or more of the groups of assets 12 may include environmental sensors such as but not limited to air temperature (both indoor and outdoor), air humidity (both indoor and outdoor), CO (carbon monoxide) sensors, CO2 (carbon dioxide) sensors, NOx (nitric acid) sensors, TVOC (total volatile organic compounds) sensors and the like. In some cases, the assets included within each of the groups of assets 12 may include industrial and/or manufacturing process control assets. These are just examples.
The illustrative system 10 may include a number of monitoring systems 14, individually labeled as 14a, 14b and through 14n. In some cases, a particular monitoring system 14 may be operably coupled with at least some of the assets within a particular group of assets 12, and may receive operational and/or other information from at least some of the assets within the particular group of assets 12. A particular monitoring system 14 may provide operational instructions to at least some of the assets within the particular group of assets 12. While
The monitoring systems 14 are shown as being operationally coupled with a cloud-based server 16. The cloud-based server 16 may represent one or more distinct computing sources such as one or more servers. In some cases, each of the monitoring systems 14 may receive operational instructions from the cloud-based server 16, and the monitoring systems 14 may pass those operational instructions or translations thereof down to the appropriate assets within the groups of assets 12. The monitoring systems 14 may pass operational data from assets within the groups of assets 12 up to the cloud-based server 16. While each of the monitoring systems 14 are shown as being distinct from both the cloud-based server 16 and their corresponding group of assets 12, it is contemplated that at least some of the functions of at least some of the monitoring systems 14 may be manifested within the cloud-based server 16. In some cases, at least some of the functions of at least some of the monitoring systems 14 may be manifested within one or more of the assets within the groups of assets 12. In some cases, the monitoring systems 14 may be implemented at least in part by an edge controller, such as an edge gateway or the like.
The cloud-based server 16 may be configured to monitor performance of the assets within the groups of assets 12. This may include any of a variety of different Industrial Internet of Things (IIOT) systems. This can include monitoring performance of security-related assets, including detecting alarms. Some alarms may be legitimate, while others may be false alarms that can be canceled once investigated. Alternatively, or in addition, this can include monitoring performance of HVAC, lighting, fire suppression, and/or industrial and/or manufacturing control systems. In some cases, the cloud-based server 16 may be configured to monitor or track various healthy building-related criterial that can be used to ascertain how well a facility or a portion of a facility, facilities within a geographic region and/or facilities within each of a number of geographic regions under the umbrella of a company are performing with respect to meeting healthy building guidelines.
In some cases, the cloud-based server 16 may be configured to organize the assets within the groups of assets 12 into a spatial hierarchical model that provides spatial context to the assets. This spatial hierarchical model can be helpful in being able to monitor and track assets at various hierarchical levels in the spatial hierarchical model, as will be discussed further herein.
The processor 26 is configured to display one or more screens on the display 24 that allow a user to add and name each of one or more first level spaces at a first level of a spatial hierarchical model. The processor 26 is configured to display one or more screens on the display 24 that allow the user to select a selected one of the first level spaces of the spatial hierarchical model and add and name each of one or more child level spaces that are spatially part of the selected first level space at a second level of the spatial hierarchical model. The processor 26 is configured to display a graphical representation of one or more of the first level spaces and one or more corresponding child level spaces as well as to display a listing of at least some of the plurality of building control assets operatively coupled to the input/output. The processor 26 may be configured to accept user input to assign selected building control assets 20 from the listing of at least some of the plurality of building control assets 20 to a selected child level space and to accept user input to monitor and/or control at least some of the plurality of building control assets 20 using the spatial hierarchical model. In some cases, accepting user input to assign selected building control assets 20 from the listing of at least some of the plurality of building control assets 20 to the selected child level space comprises dragging and dropping selected building control assets from the listing of at least some of the plurality of building control assets 20 to the selected child level space. An particular example of such a system is shown and described with respect to
Reference has been made to hierarchical levels within a spatial hierarchical model.
The spatial hierarchical model 30, as shown, also includes grandchild hierarchical level objects 38 and 40. The grandchild hierarchical level object 38 and the grandchild hierarchical level object 40 are both at the same organizational level, and are both children of child hierarchical level object 36. In the previous example, if the child hierarchical level object 36 represents a geographic region, the grandchild hierarchical level object 38 and 40 may each represent particular buildings within the geographic region represented by the child hierarchical level object 36. Continuing with this example, it is contemplated that the spatial hierarchical model 30 may include a number of great grandchild hierarchical level objects below, for example, the grandchild hierarchical level object 38 that each represent a particular zone or space within the particular building represented by the grandchild hierarchical level object 38. This is just an example. It is contemplated that the spatial hierarchical model 30 may have any suitable number of hierarchical levels, depending on the application.
A number of assets have been placed within the spatial hierarchical model 30. In particular, an asset 34a and an asset 34b have been placed within the child hierarchical level object 34. Similarly, an asset 36a and an asset 36b have been placed within the child hierarchical level object 36. An asset 38a and an asset 38b have been placed within the grandchild hierarchical level object 38. An asset 40a and an asset 40b have been placed within the grandchild hierarchical level object 40. While only two assets are shown in each hierarchical level, it will be appreciated that each hierarchical level object 32, 34, 36, 38, 40 may include any number of assets, and depending on what a particular hierarchical level object 32, 34, 36, 38, 40 represents, may include a substantially greater number of assets.
An asset may be considered as belong to a hierarchical level object that it is assigned to, as well as to higher level hierarchical level objects (e.g. parent and grandparent hierarchical level object). For example, the asset 38a may be considered as belonging to the grandchild hierarchical level object 38, and also the child hierarchical level object 36 and the parent hierarchical level object 32. It will be appreciated that within the context of monitoring healthy building performance across any of a number of buildings, other facilities, geographic regions and even companies, the spatial hierarchical model 30 facilitates being able to compile and track aggregated data while also permitting easily drilling down to a lower hierarchical level objects in the model, and the particular assets at (and below) that lower hierarchical level objects in order to better ascertain performance with respect to healthy building guidelines.
The method 50 includes accepting user input via one or more screens to add and name each of one or more first level spaces at a first level of the spatial hierarchical model, as indicated at block 52. In some cases, accepting user input via one or more screens to add and name each of one or more first level spaces at the first level of the spatial hierarchical model may include accepting a selection of an add new space icon, displaying a pop-up menu in response to the selection of the add new space icon, and accepting a name for at least one of the one or more first level spaces. The word “space” here may be considered to be a generic term, and may refer to any of the hierarchical level objects referenced in
User input is accepted via one or more screens to select a selected one of the first level spaces of the spatial hierarchical model and add and name each of one or more child level spaces that are spatially part of the selected first level space at a second level of the spatial hierarchical model, as indicated at block 54. In some cases, accepting user input via one or more screens to select the selected one of the first level spaces of the spatial hierarchical model and add and name each of one or more child level spaces that are spatially part of the selected first level space at the second level of the spatial hierarchical model may include accepting a selection of the selected one of the first level spaces, accepting a selection of an add new space icon, displaying a pop-up menu in response to the selection of the add new space icon, and accepting a name for at least one of the one or more child level spaces. A graphical representation of one or more of the first level spaces and one or more corresponding child level spaces is displayed, as indicated at block 56.
In the example shown, a listing of at least some of the plurality of building control assets is displayed, as indicated at block 58. User input is accepted to assign selected building control assets from the listing of at least some of the plurality of building control assets to a selected child level space, as indicated at block 60. In some instances, accepting user input to assign selected building control asserts to the selected child level may include dragging and dropping selected building control asserts from the listing of at least some of the plurality of building control asserts to the selected child level space. In some cases, the displayed listing of at least some of the plurality of building control assets may include building control assets that are already connected and visible on a building control network that is to be monitored and/or controlled using the spatial hierarchical model. In some cases, the displayed listing of at least some of the plurality of building control assets may include building control assets that are not yet connected and visible on the building control network that is to be monitored and/or controlled using the spatial hierarchical model. Displaying the list of at least some of the plurality of building control asserts may include filtering the plurality of building control asserts using filter criteria and displaying only the building control assets that meet the filter criteria. In some cases, the method 50 may include deploying the spatial hierarchical model, as indicated at block 62. The method 50 may include monitoring and/or controlling at least some of the plurality of building control assets using the deployed spatial hierarchical model, as indicated at block 64.
User input is accepted via one or more screens to select a selected one of the first level spaces of the spatial hierarchical model and add and name each of one or more child level spaces that are spatially part of the selected first level space at a second level of the spatial hierarchical model, as indicated at block 74. In some cases, accepting user input via one or more screens to select the selected one of the first level spaces of the spatial hierarchical model and add and name each of one or more child level spaces that are spatially part of the selected first level space at the second level of the spatial hierarchical model may include accepting a selection of the selected one of the first level spaces, accepting a selection of an add new space icon, displaying a pop-up menu in response to the selection of the add new space icon, and accepting a name for at least one of the one or more child level spaces. A graphical representation of one or more of the first level spaces and one or more corresponding child level spaces is displayed, as indicated at block 76.
In the example shown, a listing of at least some of the plurality of building control assets is displayed, as indicated at block 78. An indication of which of the plurality of building control assets have not yet been assigned may be displayed, as indicated at block 80. In some cases, the unassigned building control assets may be displayed in a different color, for example, or may be bolded relative to how the assigned building control assets are displayed. In some cases, only unassigned building control assets are displayed, while those that have already been assigned are not displayed in the listing.
User input is accepted to assign selected building control assets from the listing of at least some of the plurality of building control assets to a selected child level space, as indicated at block 82. In some instances, accepting user input to assign selected building control asserts to the selected child level may include dragging and dropping selected building control asserts from the listing of at least some of the plurality of building control asserts to the selected child level space. The displayed listing of at least some of the plurality of building control assets may include building control assets that are already connected and visible on a building control network that is to be monitored and/or controlled using the spatial hierarchical model. Displaying the list of at least some of the plurality of building control asserts may include filtering the plurality of building control asserts using filter criteria and displaying only the building control assets that meet the filter criteria.
In some instances, the method 70 may further include assigning a unique identifier to each of the one or more first level spaces, the one or more child level spaces and the one or more building control assets that are assigned to a child level space, as indicated at block 84. This may be done automatically without user input. In some cases, the method 70 may include accepting user input via one or more screens to assign searchable tags to at least some of the first level spaces, child level spaces and/or assigned building control assets, as indicated at block 86. The searchable tags may allow a user to categorize and/or group at least some of the first level spaces, child level spaces and/or assigned building control assets for later reference.
In the example shown, one or more screens are displayed that enable a user to dispose one or more assets within one or more folders of the hierarchical folder structure, as indicated at block 96. In some cases, the one or more screens that enable the user to dispose one or more assets within one or more folders of the hierarchical folder structure allow the user to drag and drop selected assets from a listing of available assets to a selected folder of the hierarchical folder structure. The hierarchical folder structure is analyzed to determine relationships between the one or more geographic region-level folders, the one or more location-specific folders and the one or more assets in order to assign a unique identifier to each folder and to each asset in the hierarchical folder structure, as indicated at block 98. One or more screens are displayed that display the hierarchical folder structure, as indicated at block 100.
In some cases, the method 90 may further include generating a spatial hierarchical model based on the hierarchical folder structure, as indicated at block 102. The spatial hierarchical model may be deployed, as indicated at block 104. At least some of the assets may be monitored and/or controlled using the deployed spatial hierarchical model, as indicated at block 106.
The hierarchical folder structure is analyzed to determine relationships between the one or more geographic region-level folders, the one or more location-specific folders and the one or more assets in order to assign a unique identifier to each folder and to each asset in the hierarchical folder structure, as indicated at block 118. This may be performed automatically without user input. In the example shown, one or more screens are displayed that display the hierarchical folder structure, as indicated at block 120. In some instances, the method 110 may further include displaying one or more screens that enable the user to create one or more building-specific folders within one or more of the one or more location-specific folders, as indicated at block 122. The illustrative method 110 may further include displaying one or more screens that enable a user to dispose one or more assets within one or more of the building-specific folders, as indicated at block 124.
The non-compliance events are aggregated for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 136. In some instances, aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model may include separately aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model over a period of time. The period of time may, for example, be user-selectable using a healthy building dashboard. A healthy building dashboard is generated that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 138. The healthy building dashboard is displayed on a display, as indicated at block 140. A user is allowed to select a different hierarchical level of the spatial hierarchical model, as indicated at block 142.
Non-compliance events are identified that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model, as indicated at block 144. Control passes to an anchor 146, which is repeated at the top of
In some instances, the method 130 may further include generating a first overall compliance score for the particular hierarchical level of the spatial hierarchical model based at least in part on the aggregated non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, and displaying the first overall compliance score on the healthy building dashboard, as indicated at block 154. In some instances, the method 130 may further include generating a second overall compliance score for the newly selected different particular hierarchical level of the spatial hierarchical model based at least in part on the aggregated non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model, and displaying the second overall compliance score on the updated healthy building dashboard, as indicated at block 156.
In some cases, one or more of the building control assets may include video cameras, and at least some of the non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines may be detected by performing video analytics on video streams provided by one or more video cameras. The non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines may include one or more of non-compliance occupancy levels, non-compliant social distancing behavior and/or non-compliance mask behavior. The one or more of the building control assets may include a temperature sensor, and at least one of the non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines include a non-compliant space temperature. One or more of the building control assets may include a humidity sensor, and at least one of the non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines may include a non-compliant space humidity. One or more of the building control assets may include a thermal sensor for sensing a body temperature of an occupant, and at least one of the non-compliance events that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines may include a non-compliant body temperature.
In the example shown, the non-compliance events are aggregated for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 166. In some instances, aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model may include separately aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model over a period of time. The period of time may, for example, be user-selectable using a healthy building dashboard. A healthy building dashboard is generated that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 168. The healthy building dashboard is displayed on a display, as indicated at block 170. A user is allowed to select a different hierarchical level of the spatial hierarchical model, as indicated at block 172.
Non-compliance events are identified that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model, as indicated at block 174. Control passes to an anchor 176, which is repeated at the top of
In some instances, the method 160 may further include determining a non-compliance trend over a trend time period of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 184. In some instances, the trend time period may be user-selectable. The non-compliance trend may be displayed on the healthy building dashboard, as indicated at block 186. In some instances, the method 160 may further include displaying a plurality of recent non-compliance events on the healthy building dashboard, as indicated at block 188.
The non-compliance events are aggregated for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 196. In some instances, aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model may include separately aggregating the non-compliance events for each of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model over a period of time. The period of time may, for example, be user-selectable using a healthy building dashboard. A healthy building dashboard is generated that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by building control assets disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 198. The healthy building dashboard is displayed on a display, as indicated at block 200. A user is allowed to select a different hierarchical level of the spatial hierarchical model, as indicated at block 202.
Non-compliance events are identified that are non-compliant with one or more of the healthy building criteria of the healthy building guidelines detected by building control assets disposed at and below the newly selected different particular hierarchical level of the spatial hierarchical model, as indicated at block 204. Control passes to an anchor 206, which is repeated at the top of
In some instances, the method 190 further includes aggregating non-compliance events for each at least some of the one or more of the healthy building criteria for each of two or more hierarchical levels of the spatial hierarchical model, as indicated at block 214. In some instances, the method 190 may further include concurrently displaying a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria for each of the two or more hierarchical levels of the spatial hierarchical model, as indicated at block 216.
In some cases, the method 190 may further include forming the spatial hierarchical model. The spatial hierarchical model may be formed, as shown for example in
In some instances, accepting user input to assign selected building control assets from the listing of at least some of the plurality of building control assets to the selected child level space may include dragging and dropping selected building control assets from the listing of at least some of the plurality of building control assets to the selected child level space. In some cases, accepting user input via one or more screens to add and name each of one or more first level spaces at the first level of the spatial hierarchical model may include accepting a selection of an add new space icon, displaying a pop-up menu in response to the selection of the add new space icon, and accepting a name for at least one of the one or more first level spaces.
The non-compliance events are aggregated for each of the one or more of the healthy building criteria detected by the video cameras disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 238. A healthy building dashboard is generated that includes a representation of the aggregated non-compliance events for each of at least some of the one or more of the healthy building criteria detected by the video cameras disposed at and below the particular hierarchical level of the spatial hierarchical model, as indicated at block 240. The healthy building dashboard is displayed, as indicated at block 242.
When the user selects the CREATE 2 FOLDERS button 278, a screen 290 will be displayed, as seen in
It can be seen that the pop-up box 322 identifies the hierarchical level (hierarchical level object 292, labeled “Ground Floor”) in which the new folders will be placed. The pop-up box 322 includes a space 324 in which the user can type the name of a new folder. The user has already entered a new folder named “Reception”, a new folder named “Server Room”, a new folder named “Office Supplies”, a new folder named “Healthcare” and a new folder named “Elevator Area”. The pop-up box 322 will allow a user to keep entering names of new folders to be created under the hierarchical level object 292 until the user either selects a CANCEL button 326 or selects a CREATE 5 FOLDERS button 328. It will be appreciated that the counter within the name of the button 328 will vary, depending on how many new folders are being created. It will be appreciated that a similar pop-up box may be displayed in response to the user having selected the ADD NEW FOLDER button 256 or the corresponding option within the pop-up menu 312, but would only be adding a single new folder. Selecting the CREATE 5 FOLDERS button 328 will cause a screen 340 to be displayed, as seen in
It can be seen that the spatial hierarchical model displayed within the workspace 252 has grown. The spatial hierarchical model still includes the hierarchical level object 254 labeled “Oracle”, the hierarchical level object 292 labeled “Ground Floor” and the hierarchical level object 294 labeled “First Floor”, but also includes additional hierarchical levels objects that are child levels relative to the hierarchical level object 292 and are grandchild levels relative to the hierarchical level object 254. These new hierarchical levels include a hierarchical level object 342 labeled “Reception”, a hierarchical level object 344 labeled “Server Room”, a hierarchical level object 346 labeled “Office Supplies”, a hierarchical level object 348 labeled “Healthcare” and a hierarchical level object 350 labeled “Elevator Area”. It will be appreciated that additional child hierarchical level objects may be created relative to the hierarchical level object 294 labeled “First Floor”, and that additional hierarchical level object may be added relative to the hierarchical level object 254 labeled “Oracle” such as “Second Floor”, “Third Floor and so on, or perhaps Parking Garage.
Once a spatial hierarchical model has been created and put into use, a user may have a desire to search within the spatial hierarchical model. Searches and/or filtering can be performed using the names or portions of names of the hierarchical level objects, for example. As an example, perhaps a user wants to see the assets assigned to every “Reception” area in the company, spread over multiple buildings in multiple geographic regions. The user could search and/or filter search results for “reception” to obtain this information. Searches and/or filtering may be performed using the names or portions of names of the assets that are assigned to the various hierarchical level objects. For example, a user could decide they want to see the location of every door access device in the building. They could search for “door access” or “card reader” or something similar, for example.
Another way that the user can search and/or filter search results is to use what can be referred to as tags. With reference to the
The screen 420 shows a number of columns, including a Type column 422, a Name column 424, a Parent column 426, a Device Type column 428, an IP column 430, and a Tag1 column 432. It will be appreciated that the screen 420 includes the same information regarding the spatial hierarchy model as does
In the spatial hierarchy model shown on the screen 460, there are two regions, named “US EAST” and “US WEST”, as indicated by these names having a single “/” character prefixing the name. There is a “ATLANTA” site within the US EAST region, and a “HONEYWELL MIDTOWN” building within the “ATLANTA” site. There is also a “NEW JERSEY” site within the “US EAST” region, with a “HONEYWELL NJ OFFICE” building within the “NEW JERSEY” site. Each of the sites has two “/” characters prefixing the site name, and each of the buildings has three “/” characters prefixing the building name. Similarly, the “US WEST” region includes a “SAN FRANCISCO” site with a “HONEYWELL SFD OFFICE” building within the “SAN FRANCISCO” site. The “US WEST” region also includes a “SAN DIEGO” site, but no buildings within the “SAN DIEGO” site have been entered yet.
Because the hierarchal level indicator 484 reads “All Spaces”, the aggregated data that is displayed within the dashboard 482 represents, for each particular healthy building criteria, a sum total of incidents relating to that particular healthy building criteria not only for the selected hierarchal level, but also for all child and grandchild hierarchal levels that are under the selected hierarchal level. For the sake of this example, assume that the spatial hierarchy model represented by the dashboard 482 is the same as that shown in
The dashboard 482 includes a “COMPLIANCE OVERVIEW” section 490 that shows, for the selected hierarchal level (as indicated by the hierarchy level indicator 484), an aggregated total for each of the displayed healthy building criteria from the selected hierarchal level and all sub-levels. In this example, the COMPLIANCE OVERVIEW section 490 includes a CAPACITY indicator 490a, an INCIDENTS indicator 490b, a NO MASKS indicator 490c and an ELEVATED BODY TEMPERATURE indicator 490d. As indicated, in the last 15 days, in the time period “17 Jan. 2021-31 Jan. 2021”, there have been no incidents with average capacity exceeding capacity limits, there are a total of 250 open incidents, there were 30 incidents of people not wearing masks and there were 10 incidents of people being detected having elevated body temperatures.
The dashboard 482 may also display additional detail. For example, the dashboard 482 provides a graphical representation 492 that indicates that during the selected time period, and for the selected hierarchal level, average occupancy has been 80.7 percent of capacity. In this, capacity may indicate a summation of the actual capacity limits for each of the included facilities, such as but not limited to the capacity limits that fire departments set for particular facilities. Capacity may alternatively indicate a reduced capacity figure, such as a 25 percent capacity or a 50 percent capacity as directed by infectious disease protocols. For example, many local governments have directed such reduced capacity figures during the COVID19 pandemic. The dashboard 482 may also include a graphical representation 494, over time, of actual occupancy values. While there have been several transient periods in which the actual occupancy exceeded a capacity limit, it can be seen that overall, the average occupancy has not. In some cases, the graphical representation 494 may use a different color, for example, to indicate when the actual occupancy has exceeded capacity.
In some cases, selecting the hierarchy level indicator 484 may cause a screen 500 to be displayed, as seen in
As seen, all of the boxes are checked, meaning that the aggregated data displayed within the dashboard 482 includes all data from the US EAST region and the US WEST region. The US EAST region includes the ATLANTA site, which itself includes the “Honeywell Midtown” building, and the NEW JERSEY site, which itself includes the “Honeywell NJ Office” building. The US WEST region includes the SAN FRANCISCO site, which itself includes the “Honeywell SF Office” building, and the SAN DIEGO site which does not yet have any buildings indicated.
If for example, the US EAST box was checked (instead of checking the “Select All” box), the ATLANTA site and the “Honeywell Midtown” buildings would also be checked as a matter of course. The aggregated data displayed on the dashboard 482 would only include data aggregated from each of the ATLANTA site and the “Honeywell Midtown” building. It will be appreciated that the ATLANTA site likely includes a plurality of buildings, but in this example only one building has been entered thus far. To continue the example, an occupancy sensor within the “Honeywell Midtown” building may provide a signal indicating that a particular room to which that occupancy sensor has been installed and assigned. That signal would indicate a potential problem for that particular room in the “Honeywell Midtown” building. That signal would also indicate a potential problem for the particular floor including that particular room, for example. The building may be further divided into areas or portions, and that signal would also indicate a problem within any area or portion that includes the particular room to which the particular sensor is assigned. That signal would also indicate a problem for the ATLANTA site and the US EAST region.
Occupancy data that might be displayed on the dashboard 482 if the US EAST box was checked would include, for the “Honeywell Midtown” building, an aggregation of signals from every occupancy sensor within the “Honeywell Midtown” building. Continuing the example, occupancy data that might be displayed on the dashboard 482 for the ATLANTA site would include the occupancy data from the “Honeywell Midtown” building as well as for any other buildings (not shown) that are within the ATLANTA site. Occupancy data that might be displayed on the dashboard 482 for the US EAST region would include the aggregated occupancy data for the ATLANTA site, the NEW JERSEY site and any other sites (not yet entered) that are assigned within the US EAST region.
Having thus described several illustrative embodiments of the present disclosure, those of skill in the art will readily appreciate that yet other embodiments may be made and used within the scope of the claims hereto attached. It will be understood, however, that this disclosure is, in many respects, only illustrative. Changes may be made in details, particularly in matters of shape, size, arrangement of parts, and exclusion and order of steps, without exceeding the scope of the disclosure. The disclosure's scope is, of course, defined in the language in which the appended claims are expressed.
This is a continuation of co-pending U.S. patent application Ser. No. 17/833,207, filed Jun. 6, 2022, and entitled “HEALTHY BUILDING DASHBOARD FACILITATED BY HIERARCHICAL MODEL OF BUILDING CONTROL ASSETS”, which is a continuation of U.S. patent application Ser. No. 17/187,278, filed Feb. 26, 2021, now U.S. Pat. No. 11,372,383, and entitled “HEALTHY BUILDING DASHBOARD FACILITATED BY HIERARCHICAL MODEL OF BUILDING CONTROL ASSETS”, both of which are incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
191512 | Bennett et al. | Jun 1877 | A |
4009647 | Howorth | Mar 1977 | A |
4375637 | Desjardins | Mar 1983 | A |
4918615 | Suzuki et al. | Apr 1990 | A |
4939922 | Smalley et al. | Jul 1990 | A |
5566084 | Cmar | Oct 1996 | A |
5727579 | Chardack | Mar 1998 | A |
5745126 | Jain et al. | Apr 1998 | A |
5751916 | Kon et al. | May 1998 | A |
5777598 | Gowda et al. | Jul 1998 | A |
5973662 | Singers et al. | Oct 1999 | A |
6065842 | Fink | May 2000 | A |
6139177 | Venkatraman et al. | Oct 2000 | A |
6144993 | Fukunaga et al. | Nov 2000 | A |
6157943 | Meyer | Dec 2000 | A |
6229429 | Horon | May 2001 | B1 |
6238337 | Kambhatla et al. | May 2001 | B1 |
6334211 | Kojima et al. | Dec 2001 | B1 |
6353853 | Gravlin | Mar 2002 | B1 |
6369695 | Horon | Apr 2002 | B2 |
6375038 | Daansen et al. | Apr 2002 | B1 |
6429868 | Dehner, Jr. et al. | Aug 2002 | B1 |
6473084 | Phillips et al. | Oct 2002 | B1 |
6487457 | Hull et al. | Nov 2002 | B1 |
6580950 | Johnson et al. | Jun 2003 | B1 |
6598056 | Hull et al. | Jul 2003 | B1 |
6619555 | Rosen | Sep 2003 | B2 |
6704012 | Lefave | Mar 2004 | B1 |
6720874 | Fufido et al. | Apr 2004 | B2 |
6741915 | Poth | May 2004 | B2 |
6796896 | Laiti | Sep 2004 | B2 |
6801199 | Wallman | Oct 2004 | B1 |
6816878 | Zimmers et al. | Nov 2004 | B1 |
6876951 | Skidmore et al. | Apr 2005 | B2 |
6882278 | Winings et al. | Apr 2005 | B2 |
6904385 | Budike, Jr. | Jun 2005 | B1 |
6907387 | Reardon | Jun 2005 | B1 |
6911177 | Deal | Jun 2005 | B2 |
6993403 | Dadebo et al. | Jan 2006 | B1 |
6993417 | Osann, Jr. | Jan 2006 | B2 |
7023440 | Havekost et al. | Apr 2006 | B1 |
7031880 | Seem et al. | Apr 2006 | B1 |
7062722 | Carlin et al. | Jun 2006 | B1 |
7110843 | Pagnano et al. | Sep 2006 | B2 |
7139685 | Bascle et al. | Nov 2006 | B2 |
7164972 | Imhof et al. | Jan 2007 | B2 |
7183899 | Behnke | Feb 2007 | B2 |
7200639 | Yoshida | Apr 2007 | B1 |
7222111 | Budike, Jr. | May 2007 | B1 |
7222800 | Wruck | May 2007 | B2 |
7257397 | Shamoon et al. | Aug 2007 | B2 |
D552116 | Kurian et al. | Oct 2007 | S |
7280030 | Monaco | Oct 2007 | B1 |
7292908 | Borne et al. | Nov 2007 | B2 |
7295116 | Kumar et al. | Nov 2007 | B2 |
7302313 | Sharp et al. | Nov 2007 | B2 |
7308323 | Kruk et al. | Dec 2007 | B2 |
7308388 | Beverina et al. | Dec 2007 | B2 |
7313447 | Hsiung et al. | Dec 2007 | B2 |
7346433 | Budike, Jr. | Mar 2008 | B2 |
7356548 | Culp et al. | Apr 2008 | B1 |
7379782 | Cocco | May 2008 | B1 |
7383148 | Ahmed | Jun 2008 | B2 |
7434742 | Mueller et al. | Oct 2008 | B2 |
7447333 | Masticola et al. | Nov 2008 | B1 |
7466224 | Ward et al. | Dec 2008 | B2 |
7496472 | Seem | Feb 2009 | B2 |
7512450 | Ahmed | Mar 2009 | B2 |
7516490 | Riordan et al. | Apr 2009 | B2 |
7548833 | Ahmed | Jun 2009 | B2 |
7551092 | Henry | Jun 2009 | B1 |
7557729 | Hubbard et al. | Jul 2009 | B2 |
7567844 | Thomas et al. | Jul 2009 | B2 |
7596473 | Hansen et al. | Sep 2009 | B2 |
7610910 | Ahmed | Nov 2009 | B2 |
7626507 | LaCasse | Dec 2009 | B2 |
7664574 | Imhof et al. | Feb 2010 | B2 |
7682464 | Glenn et al. | Mar 2010 | B2 |
7702421 | Sullivan et al. | Apr 2010 | B2 |
7729882 | Seem | Jun 2010 | B2 |
7755494 | Melker et al. | Jul 2010 | B2 |
7761310 | Rodgers | Jul 2010 | B2 |
7774227 | Srivastava | Aug 2010 | B2 |
7797188 | Srivastava | Sep 2010 | B2 |
7819136 | Eddy | Oct 2010 | B1 |
7822806 | Frank et al. | Oct 2010 | B2 |
7856370 | Katta et al. | Dec 2010 | B2 |
D640264 | Fujii et al. | Jun 2011 | S |
7978083 | Melker et al. | Jul 2011 | B2 |
7984384 | Chaudhri et al. | Jul 2011 | B2 |
7986323 | Kobayashi et al. | Jul 2011 | B2 |
8024666 | Thompson | Sep 2011 | B2 |
8086047 | Penke et al. | Dec 2011 | B2 |
8099178 | Mairs et al. | Jan 2012 | B2 |
8151280 | Sather et al. | Apr 2012 | B2 |
8176095 | Murray et al. | May 2012 | B2 |
8218871 | Angell et al. | Jul 2012 | B2 |
8219660 | McCoy et al. | Jul 2012 | B2 |
8271941 | Zhang et al. | Sep 2012 | B2 |
8294585 | Barnhill | Oct 2012 | B2 |
8302020 | Louch et al. | Oct 2012 | B2 |
8320634 | Deutsch | Nov 2012 | B2 |
8334422 | Gutsol et al. | Dec 2012 | B2 |
8344893 | Drammeh | Jan 2013 | B1 |
8375118 | Hao et al. | Feb 2013 | B2 |
8473080 | Seem et al. | Jun 2013 | B2 |
8476590 | Stratmann et al. | Jul 2013 | B2 |
8516016 | Park et al. | Aug 2013 | B2 |
8558660 | Nix et al. | Oct 2013 | B2 |
8639527 | Rensvold et al. | Jan 2014 | B2 |
8698637 | Raichman | Apr 2014 | B2 |
8816860 | Ophardt et al. | Aug 2014 | B2 |
8869027 | Louch et al. | Oct 2014 | B2 |
8904497 | Hsieh | Dec 2014 | B2 |
8936944 | Peltz et al. | Jan 2015 | B2 |
8947437 | Garr et al. | Feb 2015 | B2 |
8950019 | Loberger et al. | Feb 2015 | B2 |
9000926 | Hollock et al. | Apr 2015 | B2 |
9002532 | Asmus | Apr 2015 | B2 |
9030325 | Taneff | May 2015 | B2 |
9098738 | Bilet et al. | Aug 2015 | B2 |
9105071 | Fletcher et al. | Aug 2015 | B2 |
9175356 | Peltz et al. | Nov 2015 | B2 |
9235657 | Wenzel et al. | Jan 2016 | B1 |
9240111 | Scott et al. | Jan 2016 | B2 |
9256702 | Elbsat et al. | Feb 2016 | B2 |
9280884 | Schultz et al. | Mar 2016 | B1 |
9292972 | Hailemariam et al. | Mar 2016 | B2 |
9320662 | Hayes et al. | Apr 2016 | B2 |
9322566 | Wenzel et al. | Apr 2016 | B2 |
9355069 | Elbsat et al. | May 2016 | B2 |
D760237 | Sabadosh et al. | Jun 2016 | S |
9370600 | DuPuis et al. | Jun 2016 | B1 |
9373242 | Conrad et al. | Jun 2016 | B1 |
9396638 | Wildman et al. | Jul 2016 | B2 |
9311807 | Schultz et al. | Aug 2016 | B2 |
9406212 | De Luca et al. | Aug 2016 | B2 |
9418535 | Felch et al. | Aug 2016 | B1 |
9418536 | Felch et al. | Aug 2016 | B1 |
9436179 | Turney et al. | Sep 2016 | B1 |
9449219 | Bilet et al. | Sep 2016 | B2 |
9477543 | Henley et al. | Oct 2016 | B2 |
9497832 | Verberkt et al. | Nov 2016 | B2 |
D774060 | Dias et al. | Dec 2016 | S |
9513364 | Hall et al. | Dec 2016 | B2 |
9526380 | Hamilton et al. | Dec 2016 | B2 |
9526806 | Park et al. | Dec 2016 | B2 |
D776693 | Linares et al. | Jan 2017 | S |
9536415 | De Luca et al. | Jan 2017 | B2 |
9558648 | Douglas | Jan 2017 | B2 |
9568204 | Asmus et al. | Feb 2017 | B2 |
9581985 | Walser et al. | Feb 2017 | B2 |
9591267 | Lipton et al. | Mar 2017 | B2 |
9606520 | Noboa et al. | Mar 2017 | B2 |
9612601 | Beyhaghi et al. | Apr 2017 | B2 |
9613518 | Dunn et al. | Apr 2017 | B2 |
9618224 | Emmons et al. | Apr 2017 | B2 |
9619989 | Ewing | Apr 2017 | B1 |
9640059 | Hyland | May 2017 | B2 |
9672360 | Barkan | Jun 2017 | B2 |
9696054 | Asmus | Jul 2017 | B2 |
9710700 | Bilet et al. | Jul 2017 | B2 |
9715242 | Pillai et al. | Jul 2017 | B2 |
9721452 | Felch et al. | Aug 2017 | B2 |
9729945 | Schultz et al. | Aug 2017 | B2 |
9778639 | Boettcher et al. | Oct 2017 | B2 |
9784464 | Yamamoto et al. | Oct 2017 | B2 |
9798336 | Przybylski | Oct 2017 | B2 |
9843743 | Lewis et al. | Dec 2017 | B2 |
9852481 | Turney et al. | Dec 2017 | B1 |
9856634 | Rodenbeck et al. | Jan 2018 | B2 |
9872088 | Fadell et al. | Jan 2018 | B2 |
9875639 | Bone et al. | Jan 2018 | B2 |
9911312 | Wildman et al. | Mar 2018 | B2 |
9940819 | Ferniany | Apr 2018 | B2 |
D818474 | Kato et al. | May 2018 | S |
9956306 | Brais et al. | May 2018 | B2 |
9982903 | Ridder et al. | May 2018 | B1 |
9986175 | Frank et al. | May 2018 | B2 |
10007259 | Turney et al. | Jun 2018 | B2 |
10031494 | Holaso | Jul 2018 | B2 |
10055114 | Shah et al. | Aug 2018 | B2 |
10087608 | Dobizl et al. | Oct 2018 | B2 |
10101730 | Wenzel et al. | Oct 2018 | B2 |
10101731 | Asmus et al. | Oct 2018 | B2 |
10175681 | Wenzel et al. | Jan 2019 | B2 |
10222083 | Drees et al. | Mar 2019 | B2 |
10222767 | Holaso | Mar 2019 | B2 |
10223894 | Raichman | Mar 2019 | B2 |
10228837 | Hua | Mar 2019 | B2 |
10235865 | Thyroff | Mar 2019 | B2 |
10251610 | Parthasarathy et al. | Apr 2019 | B2 |
10282796 | Elbsat et al. | May 2019 | B2 |
10288306 | Ridder et al. | May 2019 | B2 |
10303843 | Bitran et al. | May 2019 | B2 |
10307060 | Tran | Jun 2019 | B2 |
10317864 | Boettcher et al. | Jun 2019 | B2 |
10332382 | Thyroff | Jun 2019 | B2 |
10359748 | Elbsat et al. | Jul 2019 | B2 |
10386820 | Wenzel et al. | Aug 2019 | B2 |
10402767 | Noboa et al. | Sep 2019 | B2 |
10514178 | Willmott et al. | Dec 2019 | B2 |
10514817 | Hua et al. | Dec 2019 | B2 |
10520210 | Park et al. | Dec 2019 | B2 |
10544955 | Przybylski | Jan 2020 | B2 |
10558178 | Willmott et al. | Feb 2020 | B2 |
10559180 | Pourmohammad et al. | Feb 2020 | B2 |
10559181 | Pourmohammad et al. | Feb 2020 | B2 |
10565844 | Pourmohammad | Feb 2020 | B2 |
10600263 | Park et al. | Mar 2020 | B2 |
10602474 | Goldstein | Mar 2020 | B2 |
10605477 | Ridder | Mar 2020 | B2 |
10607147 | Raykov et al. | Mar 2020 | B2 |
10619882 | Chatterjee et al. | Apr 2020 | B2 |
10627124 | Walser et al. | Apr 2020 | B2 |
10673380 | Wenzel et al. | Jun 2020 | B2 |
10678227 | Przybylski et al. | Jun 2020 | B2 |
10706375 | Wenzel et al. | Jul 2020 | B2 |
10726711 | Subramanian et al. | Jul 2020 | B2 |
10732584 | Elbsat et al. | Aug 2020 | B2 |
10767885 | Przybylski et al. | Sep 2020 | B2 |
10775988 | Narain et al. | Sep 2020 | B2 |
10796554 | Vincent et al. | Oct 2020 | B2 |
10809682 | Patil et al. | Oct 2020 | B2 |
10809705 | Przybylski | Oct 2020 | B2 |
10824125 | Elbsat et al. | Nov 2020 | B2 |
10854194 | Park et al. | Dec 2020 | B2 |
10871298 | Ridder et al. | Dec 2020 | B2 |
10876754 | Wenzel et al. | Dec 2020 | B2 |
10890904 | Turney et al. | Jan 2021 | B2 |
10900686 | Willmott et al. | Jan 2021 | B2 |
10901446 | Nesler et al. | Jan 2021 | B2 |
10909642 | Elbsat et al. | Feb 2021 | B2 |
10915094 | Wenzel et al. | Feb 2021 | B2 |
10917740 | Scott et al. | Feb 2021 | B1 |
10921972 | Park et al. | Feb 2021 | B2 |
10921973 | Park et al. | Feb 2021 | B2 |
10928790 | Mueller et al. | Feb 2021 | B2 |
10936982 | Ghosh | Mar 2021 | B1 |
10948884 | Beaty et al. | Mar 2021 | B2 |
10949777 | Elbsat et al. | Mar 2021 | B2 |
10955800 | Burroughs et al. | Mar 2021 | B2 |
10956842 | Wenzel et al. | Mar 2021 | B2 |
10962945 | Park et al. | Mar 2021 | B2 |
10969135 | Willmott et al. | Apr 2021 | B2 |
11002457 | Turney et al. | May 2021 | B2 |
11009252 | Turney et al. | May 2021 | B2 |
11010846 | Elbsat et al. | May 2021 | B2 |
11016648 | Fala et al. | May 2021 | B2 |
11016998 | Park et al. | May 2021 | B2 |
11022947 | Elbsat et al. | Jun 2021 | B2 |
11024292 | Park et al. | Jun 2021 | B2 |
11036249 | Elbsat | Jun 2021 | B2 |
11038709 | Park et al. | Jun 2021 | B2 |
11042139 | Deshpande et al. | Jun 2021 | B2 |
11042924 | Asmus et al. | Jun 2021 | B2 |
11061424 | Elbsat et al. | Jul 2021 | B2 |
11068821 | Wenzel et al. | Jul 2021 | B2 |
11070389 | Schuster et al. | Jul 2021 | B2 |
11073976 | Park et al. | Jul 2021 | B2 |
11080289 | Park et al. | Aug 2021 | B2 |
11080426 | Park et al. | Aug 2021 | B2 |
11086276 | Wenzel et al. | Aug 2021 | B2 |
11094186 | Razak | Aug 2021 | B2 |
11108587 | Park et al. | Aug 2021 | B2 |
11131473 | Risbeck et al. | Aug 2021 | B2 |
11113295 | Park et al. | Sep 2021 | B2 |
11119458 | Asp et al. | Sep 2021 | B2 |
11120012 | Park et al. | Sep 2021 | B2 |
11150617 | Ploegert et al. | Oct 2021 | B2 |
11151983 | Park et al. | Oct 2021 | B2 |
11156996 | Schuster et al. | Oct 2021 | B2 |
11158306 | Park et al. | Oct 2021 | B2 |
11182047 | Nayak et al. | Nov 2021 | B2 |
11188093 | Ko et al. | Nov 2021 | B2 |
11195401 | Pourmohammad | Dec 2021 | B2 |
11217087 | Pelski | Jan 2022 | B2 |
11226126 | Przybylski et al. | Jan 2022 | B2 |
11243523 | Llopis et al. | Feb 2022 | B2 |
11268715 | Park et al. | Mar 2022 | B2 |
11268996 | Vitullo et al. | Mar 2022 | B2 |
11269505 | Fala et al. | Mar 2022 | B2 |
11272011 | Laughton et al. | Mar 2022 | B1 |
11272316 | Scott et al. | Mar 2022 | B2 |
11275348 | Park et al. | Mar 2022 | B2 |
11275363 | Przybylski et al. | Mar 2022 | B2 |
11281169 | Chatterjee et al. | Mar 2022 | B2 |
11288754 | Elbsat et al. | Mar 2022 | B2 |
11314726 | Park et al. | Apr 2022 | B2 |
11314788 | Park et al. | Apr 2022 | B2 |
11334044 | Goyal | May 2022 | B2 |
11353834 | Mueller et al. | Jun 2022 | B2 |
11356292 | Ploegert et al. | Jun 2022 | B2 |
11360451 | Pancholi et al. | Jun 2022 | B2 |
11361123 | Ploegert et al. | Jun 2022 | B2 |
11372383 | Hughley | Jun 2022 | B1 |
20020111698 | Graziano et al. | Aug 2002 | A1 |
20020130868 | Smith | Sep 2002 | A1 |
20030028269 | Spriggs et al. | Feb 2003 | A1 |
20030030637 | Grinstein et al. | Feb 2003 | A1 |
20030046862 | Wolf et al. | Mar 2003 | A1 |
20030071814 | Jou et al. | Apr 2003 | A1 |
20030078677 | Hull et al. | Apr 2003 | A1 |
20030083957 | Olefson | May 2003 | A1 |
20030103075 | Rosselot | Jun 2003 | A1 |
20030171851 | Brickfield et al. | Sep 2003 | A1 |
20030214400 | Mizutani et al. | Nov 2003 | A1 |
20030233432 | Davis et al. | Dec 2003 | A1 |
20040001009 | Winings et al. | Jan 2004 | A1 |
20040064260 | Padmanabhan et al. | Apr 2004 | A1 |
20040143474 | Haeberle et al. | Jul 2004 | A1 |
20040153437 | Buchan | Aug 2004 | A1 |
20040168115 | Bauernschmidt et al. | Aug 2004 | A1 |
20040233192 | Hopper | Nov 2004 | A1 |
20040260411 | Cannon | Dec 2004 | A1 |
20050010460 | Mizoguchi et al. | Jan 2005 | A1 |
20050119767 | Kiwimagi et al. | Jun 2005 | A1 |
20050143863 | Ruane et al. | Jun 2005 | A1 |
20050267900 | Ahmed et al. | Dec 2005 | A1 |
20060004841 | Heikkonen et al. | Jan 2006 | A1 |
20060009862 | Imhof et al. | Jan 2006 | A1 |
20060017547 | Buckingham et al. | Jan 2006 | A1 |
20060020177 | Seo et al. | Jan 2006 | A1 |
20060028471 | Kincaid et al. | Feb 2006 | A1 |
20060029256 | Miyoshi et al. | Feb 2006 | A1 |
20060058900 | Johanson et al. | Mar 2006 | A1 |
20060067545 | Lewis et al. | Mar 2006 | A1 |
20060067546 | Lewis et al. | Mar 2006 | A1 |
20060077255 | Cheng | Apr 2006 | A1 |
20060184326 | McNally et al. | Aug 2006 | A1 |
20060231568 | Lynn et al. | Oct 2006 | A1 |
20060265664 | Simons et al. | Nov 2006 | A1 |
20060279630 | Aggarwal et al. | Dec 2006 | A1 |
20070016955 | Goldberg et al. | Jan 2007 | A1 |
20070055757 | Mairs | Mar 2007 | A1 |
20070055760 | McCoy et al. | Mar 2007 | A1 |
20070061046 | Mairs | Mar 2007 | A1 |
20070067062 | Mairs | Mar 2007 | A1 |
20070088534 | MacArthur et al. | Apr 2007 | A1 |
20070090951 | Chan et al. | Apr 2007 | A1 |
20070091091 | Gardiner et al. | Apr 2007 | A1 |
20070101433 | Louch | May 2007 | A1 |
20070114295 | Jenkins | May 2007 | A1 |
20070120652 | Behnke | May 2007 | A1 |
20070139208 | Kates | Jun 2007 | A1 |
20070216682 | Navratil et al. | Sep 2007 | A1 |
20070219645 | Thomas | Sep 2007 | A1 |
20070239484 | Arond et al. | Oct 2007 | A1 |
20070268122 | Kow et al. | Nov 2007 | A1 |
20080001735 | Tran | Jan 2008 | A1 |
20080001763 | Raja et al. | Jan 2008 | A1 |
20080027885 | Van Putten et al. | Jan 2008 | A1 |
20080036593 | Rose-Pehrsson et al. | Feb 2008 | A1 |
20080046388 | Budike | Feb 2008 | A1 |
20080062167 | Boggs et al. | Mar 2008 | A1 |
20080099045 | Glenn et al. | May 2008 | A1 |
20080103798 | Domenikos | May 2008 | A1 |
20080120396 | Jayaram et al. | May 2008 | A1 |
20080144885 | Zucherman et al. | Jun 2008 | A1 |
20080183424 | Seem | Jul 2008 | A1 |
20080194009 | Marentis | Aug 2008 | A1 |
20080198231 | Ozdemir et al. | Aug 2008 | A1 |
20080209342 | Taylor | Aug 2008 | A1 |
20080222565 | Taylor et al. | Sep 2008 | A1 |
20080224862 | Cirker | Sep 2008 | A1 |
20080242945 | Gugliotti | Oct 2008 | A1 |
20080250800 | Wetzel | Oct 2008 | A1 |
20080279420 | Masticola et al. | Nov 2008 | A1 |
20080280275 | Collopy | Nov 2008 | A1 |
20080303658 | Melker et al. | Dec 2008 | A1 |
20080306985 | Murray | Dec 2008 | A1 |
20080320552 | Kumar | Dec 2008 | A1 |
20090001181 | Siddaramanna et al. | Jan 2009 | A1 |
20090024944 | Louch et al. | Jan 2009 | A1 |
20090065596 | Seem et al. | Mar 2009 | A1 |
20090083120 | Strichman et al. | Mar 2009 | A1 |
20090096791 | Abshear et al. | Apr 2009 | A1 |
20090125337 | Abri | May 2009 | A1 |
20090125825 | Rye et al. | May 2009 | A1 |
20090144023 | Seem | Jun 2009 | A1 |
20090157744 | McConnell | Jun 2009 | A1 |
20090160673 | Cirker | Jun 2009 | A1 |
20090322782 | Kimchi | Dec 2009 | A1 |
20100048167 | Chow et al. | Feb 2010 | A1 |
20100058248 | Park | Mar 2010 | A1 |
20100064001 | Daily | Mar 2010 | A1 |
20100070089 | Harrod | Mar 2010 | A1 |
20100073162 | Johnson et al. | Mar 2010 | A1 |
20100123560 | Nix et al. | May 2010 | A1 |
20100134296 | Hwang | Jun 2010 | A1 |
20100156628 | Ainsbury et al. | Jun 2010 | A1 |
20100156630 | Ainsbury | Jun 2010 | A1 |
20100188228 | Hyland | Jul 2010 | A1 |
20100223198 | Noureldin et al. | Sep 2010 | A1 |
20100249955 | Sitton | Sep 2010 | A1 |
20100286937 | Hedley | Nov 2010 | A1 |
20100318200 | Foslien | Dec 2010 | A1 |
20100324962 | Nesler | Dec 2010 | A1 |
20110010654 | Raymond | Jan 2011 | A1 |
20110057799 | Taneff | Mar 2011 | A1 |
20110077779 | Fuller et al. | Mar 2011 | A1 |
20110083094 | Laycock et al. | Apr 2011 | A1 |
20110087988 | Ray et al. | Apr 2011 | A1 |
20110112854 | Koch et al. | May 2011 | A1 |
20110126111 | Gill | May 2011 | A1 |
20110154426 | Doser et al. | Jun 2011 | A1 |
20110161124 | Lappinga | Jun 2011 | A1 |
20110169646 | Raichman | Jul 2011 | A1 |
20110184563 | Foslien et al. | Jul 2011 | A1 |
20110202467 | Hilber | Aug 2011 | A1 |
20110273298 | Snodgrass et al. | Nov 2011 | A1 |
20110291841 | Hollock et al. | Dec 2011 | A1 |
20110298301 | Wong | Dec 2011 | A1 |
20110316703 | Butler et al. | Dec 2011 | A1 |
20110320054 | Brzezowski | Dec 2011 | A1 |
20120022700 | Drees et al. | Jan 2012 | A1 |
20120039503 | Chen et al. | Feb 2012 | A1 |
20120062382 | Taneff | Mar 2012 | A1 |
20120075464 | Derenne et al. | Mar 2012 | A1 |
20120109988 | Li et al. | May 2012 | A1 |
20120112883 | Wallace | May 2012 | A1 |
20120131217 | Delorme | May 2012 | A1 |
20120158185 | El-Mankabady et al. | Jun 2012 | A1 |
20120216243 | Gill | Aug 2012 | A1 |
20120224057 | Gill | Sep 2012 | A1 |
20120259466 | Ray et al. | Oct 2012 | A1 |
20120262472 | Garr et al. | Oct 2012 | A1 |
20120272146 | D'souza et al. | Oct 2012 | A1 |
20120291068 | Khushoo | Nov 2012 | A1 |
20120303652 | Tseng | Nov 2012 | A1 |
20120310418 | Harrod et al. | Dec 2012 | A1 |
20130055132 | Foslien | Feb 2013 | A1 |
20130060794 | Puttabasappa et al. | Mar 2013 | A1 |
20130082842 | Balazs et al. | Apr 2013 | A1 |
20130086152 | Hersche et al. | Apr 2013 | A1 |
20130091631 | Hayes et al. | Apr 2013 | A1 |
20130110295 | Zheng | May 2013 | A1 |
20130169681 | Rasane et al. | Jul 2013 | A1 |
20130184880 | McMahon | Jul 2013 | A1 |
20130187775 | Marsden et al. | Jul 2013 | A1 |
20130204570 | Mendelson et al. | Aug 2013 | A1 |
20130229276 | Hunter | Sep 2013 | A1 |
20130268293 | Knudson et al. | Oct 2013 | A1 |
20130289774 | Day et al. | Oct 2013 | A1 |
20130338837 | Hublou et al. | Dec 2013 | A1 |
20140032157 | Khiani | Jan 2014 | A1 |
20140040998 | Hsieh | Feb 2014 | A1 |
20140046490 | Foslien et al. | Feb 2014 | A1 |
20140046722 | Rosenbloom | Feb 2014 | A1 |
20140058539 | Park | Feb 2014 | A1 |
20140078151 | Garr et al. | Mar 2014 | A1 |
20140167917 | Wallace et al. | Jun 2014 | A2 |
20140207291 | Golden | Jul 2014 | A1 |
20140292518 | Wildman | Oct 2014 | A1 |
20140307076 | Deutsch | Oct 2014 | A1 |
20140309757 | Le Sant | Oct 2014 | A1 |
20140316582 | Berg-Sonne | Oct 2014 | A1 |
20140320289 | Raichman | Oct 2014 | A1 |
20140342724 | Hill | Nov 2014 | A1 |
20150025329 | Amarasingham et al. | Jan 2015 | A1 |
20150032264 | Emmons | Jan 2015 | A1 |
20150056909 | Chien | Feb 2015 | A1 |
20150070174 | Douglas | Mar 2015 | A1 |
20150077258 | Nelson et al. | Mar 2015 | A1 |
20150113462 | Chen et al. | Apr 2015 | A1 |
20150153918 | Chen | Jun 2015 | A1 |
20150161874 | Thyroff et al. | Jun 2015 | A1 |
20150167995 | Fadell et al. | Jun 2015 | A1 |
20150168949 | Hua | Jun 2015 | A1 |
20150194043 | Dunn et al. | Jul 2015 | A1 |
20150198707 | Al-Alusi | Jul 2015 | A1 |
20150212717 | Nair | Jul 2015 | A1 |
20150213222 | Amarasingham | Jul 2015 | A1 |
20150213379 | Nair | Jul 2015 | A1 |
20150216369 | Hamilton et al. | Aug 2015 | A1 |
20150253748 | Brun et al. | Sep 2015 | A1 |
20150281287 | Gill et al. | Oct 2015 | A1 |
20160054023 | Baker et al. | Feb 2016 | A1 |
20160061476 | Schultz et al. | Mar 2016 | A1 |
20160061477 | Schultz et al. | Mar 2016 | A1 |
20160061794 | Schultz et al. | Mar 2016 | A1 |
20160061795 | Schultz et al. | Mar 2016 | A1 |
20160063833 | Schultz et al. | Mar 2016 | A1 |
20160066067 | Schultz et al. | Mar 2016 | A1 |
20160116181 | Aultman | Apr 2016 | A1 |
20160139067 | Grace | May 2016 | A1 |
20160253897 | Wildman et al. | Sep 2016 | A1 |
20160255516 | Hill et al. | Sep 2016 | A1 |
20160298864 | Ekolind et al. | Oct 2016 | A1 |
20160306934 | Sperry et al. | Oct 2016 | A1 |
20160314683 | Felch et al. | Oct 2016 | A1 |
20160328948 | Ferniany | Nov 2016 | A1 |
20160335731 | Hall | Nov 2016 | A1 |
20160367925 | Blackley | Dec 2016 | A1 |
20170024986 | Austin | Jan 2017 | A1 |
20170193792 | Bermudez Rodriguez et al. | Jul 2017 | A1 |
20170256155 | Sengstaken, Jr. | Sep 2017 | A1 |
20170280949 | Wildman et al. | Oct 2017 | A1 |
20170294106 | Thyroff | Oct 2017 | A1 |
20170365024 | Koch et al. | Dec 2017 | A1 |
20180016773 | Chandler et al. | Jan 2018 | A1 |
20180062941 | Brown | Mar 2018 | A1 |
20180151054 | Pi | May 2018 | A1 |
20180218591 | Easter | Aug 2018 | A1 |
20180259927 | Przybylski et al. | Sep 2018 | A1 |
20180259934 | Piaskowski et al. | Sep 2018 | A1 |
20180293038 | Meruva et al. | Oct 2018 | A1 |
20180301014 | Worral et al. | Oct 2018 | A1 |
20180313695 | Shim et al. | Nov 2018 | A1 |
20180330815 | Demir | Nov 2018 | A1 |
20180365957 | Wright et al. | Dec 2018 | A1 |
20190051138 | Easter | Feb 2019 | A1 |
20190139395 | Rogachev et al. | May 2019 | A1 |
20190155268 | Cohen et al. | May 2019 | A1 |
20190156443 | Hall | May 2019 | A1 |
20190209719 | Andersen et al. | Jul 2019 | A1 |
20200009280 | Kupa et al. | Jan 2020 | A1 |
20200074836 | Kolavennu et al. | Mar 2020 | A1 |
20200090089 | Aston et al. | Mar 2020 | A1 |
20200146557 | Cheung et al. | May 2020 | A1 |
20200152047 | Pelski | May 2020 | A1 |
20200187336 | Verberkt et al. | Jun 2020 | A1 |
20200200420 | Nayak et al. | Jun 2020 | A1 |
20200225655 | Cella | Jul 2020 | A1 |
20200348662 | Cella | Nov 2020 | A1 |
20210010701 | Suindykov et al. | Jan 2021 | A1 |
20210011443 | Mcnamara et al. | Jan 2021 | A1 |
20210011444 | Risbeck et al. | Jan 2021 | A1 |
20210157312 | Cella | May 2021 | A1 |
20210192412 | Krishnaswamy | Jun 2021 | A1 |
20210319887 | Derrick, Jr. | Oct 2021 | A1 |
20210364181 | Risbeck et al. | Nov 2021 | A1 |
20210373519 | Risbeck et al. | Dec 2021 | A1 |
20220011731 | Risbeck et al. | Jan 2022 | A1 |
20220036302 | Cella | Feb 2022 | A1 |
20220044204 | Cella | Feb 2022 | A1 |
20220102007 | Palanivel | Mar 2022 | A1 |
20220113045 | Gamroth et al. | Apr 2022 | A1 |
20220137580 | Burroughs et al. | May 2022 | A1 |
20220253023 | Morton | Aug 2022 | A1 |
20220275959 | Hughley | Sep 2022 | A1 |
Number | Date | Country |
---|---|---|
2387100 | Nov 2003 | CA |
2538139 | Mar 2005 | CA |
103110410 | May 2013 | CN |
103970977 | Aug 2014 | CN |
105116848 | Dec 2015 | CN |
108961714 | Dec 2018 | CN |
110009245 | Jul 2019 | CN |
110084928 | Aug 2019 | CN |
110827457 | Feb 2020 | CN |
1669912 | Jun 2006 | EP |
2310981 | Apr 2011 | EP |
7085166 | Mar 1995 | JP |
11024735 | Jan 1999 | JP |
11317936 | Nov 1999 | JP |
2001356813 | Dec 2001 | JP |
2005242531 | Sep 2005 | JP |
2005311563 | Nov 2005 | JP |
1172747 | Aug 2012 | KR |
101445367 | Oct 2014 | KR |
1499081 | Mar 2015 | KR |
9621264 | Nov 1996 | WO |
2004029518 | Apr 2004 | WO |
2005045715 | May 2005 | WO |
2008152433 | Dec 2008 | WO |
2008157755 | Dec 2008 | WO |
2009012319 | Jan 2009 | WO |
2009079648 | Jun 2009 | WO |
2010106474 | Sep 2010 | WO |
2011025085 | Mar 2011 | WO |
2011043732 | Apr 2011 | WO |
2011057173 | May 2011 | WO |
2011123743 | Oct 2011 | WO |
2013062725 | May 2013 | WO |
2013178819 | Dec 2013 | WO |
2014009291 | Jan 2014 | WO |
2014098861 | Jun 2014 | WO |
2014135517 | Sep 2014 | WO |
2016123536 | Aug 2016 | WO |
2017057274 | Apr 2017 | WO |
2019046580 | Mar 2019 | WO |
2020024553 | Feb 2020 | WO |
Entry |
---|
Bocicor et al. “Wireless Sensor Network based System for the Prevention of Hospital Acquired Infections”, arxiv.org, Cornell University Ithaca, NY 14853, May 2, 2017, XP080947042, (Abstract). |
Shhedi et al., “Traditional and ICT Solutions for Preventing the Hospital Acquired Infection”, 2015 20th International Conference on Control Systems and Computer Science, IEEE, May 27, 2015, pp. 867-873, XP033188038. |
Extended European Search Report, EP Application No. 20151295.1, pp. 13, dated May 26, 2020. |
Sinha et al., “Balance Infection Risk, Sustainablity and Comfort with Open Blue,” Johnson Controls, 2 pages, 2021. |
“What is the GE Nucleus Home Manager? How can a Home Manager Help with Energy Conservation?” GE Nucleus, 2 pages, printed Jan. 15, 2013. www.geappliances.com/home-energy-manager/about-energy-monitors.htm. |
“Lucid Design Group—Building Dashboard Network—Apps,” 7 pages, Jan. 15, 2013. www.luciddesigngroup.com/network/apps.php#homepage. |
Preuveneers et al., “Intelligent Widgets for Intuitive Interaction and Coordination in Smart Home Environments,” IEEE Eighth International Conference on Intelligent Environments, pp. 157-164, 2012. |
Wu et al., “A Web 2.0 Based Scientific Application Framework,” 7 pages, prior to Jul. 24, 2014. |
“The Home Dashboard,” CRBM info@hand website, 46 pages, prior to Apr. 25, 2013. |
“Free Facilities Dashboards,” eSight Energy Website, 2 pages, prior to Apr. 25, 2013. |
Alerton Building Controls, Gallery Prints, 7 pages, Dec. 19, 2013. |
Carter, “Industrial Energy Management Dashboards Require a Toolkit,” Cross Automation, 11 pages, Nov. 4, 2013. |
Open Blue Enterprise Manager, Optimize Building Portfolio Performance with Advanced Data Analytics and AI, Johnson Controls, 20 pages, Accessed Sep. 29, 2022. |
Open Blue, Now, Spaces have Memory and Identity, Johnson Controls, 20 pages, 2022. Accessed Feb. 10, 2022. |
Open Blue Enterprise Manager User Guide, Johnson Controls, 108 pages, Release 4.1.3, 2022, Accessed Aug. 29, 2022. |
Risbeck et al.; “Modeling and Multiobjective Optimization of Indoor Airborne Disease Transmission Risk and Associated Energy Consumption for Building HVAC Systems,” Energy and Buildings, vol. 253, 24 pages, 2021. |
e-homecontrols.com, “e-Home Controls Website,” link to actual website no longer works, 1 page, prior to Dec. 19, 2013. |
“C&C (/)—Omniboard,” 5 pages, Dec. 19, 2013. http://www.ccbac.com. |
“DomController Home Automation Software—Control Anything from Anywhere,” 11 pages, printed Jan. 6, 2015. http://www.domcontroller.com/en/. |
“Novar Opus Bas,” 1 page, prior to Feb. 13, 2013. http://www.novar.com/ems-bas/opus-building-automation-system. |
“A 3D Interactive Environment for Automated Building Control,” Master's Dissertation, Instituto Superior Tecnico, 120 pages, Nov. 2012. |
Panduit Corp., “Enable a Building Automation with Panduit Enterprise Solutions,” 4 pages, Nov. 2012. |
Honeywell, “WEBs-AX Web-Enabled Building Solutions,” sales brochure, Honeywell International Inc., Mar. 2009. |
Honeywell, “Attune Advisory Services,” press release, Honeywell International Inc., Mar. 20, 2012. |
EnteliWEB Overview, web pages retrieved on May 9, 2013 from http://deltacontrols.com/products/facilities-management/supervisory-software et seq. by the Internet Archive at web.archive.org. |
“BACnet Protocol Implementation Conformance Statement” for enteliWEB, Delta Controls, Jul. 17, 2013. |
Castle, “7 Software Platforms that Make Building Energy Management Easy,” http://greentechadvocates.com/2012/11/28/7-software-platforms-that-make-building-energy-managment-easy/, Nov. 28, 2012. |
EnteliWEB “Software: Enterprise Energy Management”, catalog sheet, Delta Controls, 2012. |
EnteliWEB “Software: Enterprise Energy Management”, catalog sheet, Delta Controls., 2010. |
“Intelligent Building Management Systems in Miami,” Advanced Control Corp., Mar. 7, 2013. |
“The Ohio State University,” BACnet International Journal, vol. 5, p. 4, Jan. 2013. |
Bobker et al., “Operational Effectiveness in Use of BAS,” Proceedings of the 13th International Conference for Enhanced Building Operations, Oct. 8, 2013. |
Castelo, “A 3D Interactive Environment for Automated Building Control,” Elsevier, Nov. 8, 2012. |
“Creston Special Report: How Intelligent building management solutions are reducing operational costs,” Creston, 2012. |
“Building Automation Software Solutions,” Iconics, 2013. |
Lacey, “The Top 10 Software Vendors Connecting Smart Buildings to the Smart Grid,” http://www.greentechmedia.com/articles/read/the-top-10-companies-in-enterprise-smart-grid, Jul. 18, 2013. |
“NiagraAX Product Model Overview,” Tridium, Inc., 2005. |
“An Overview of NiagraAX: A comprehensive software platform designed to create smart device applications,” Tridium, Inc., 2005. |
“Phoenix Controls Portal,” Phoenix Controls, Inc., 2013. |
Quirk, “A Brief History of BIM,” Arch Daily, Dec. 7, 2012. |
Samad et al., “Leveraging the Web: A Universal Framework for Building Automation,” Proceedings of the 2007 American Control Conference, Jul. 11, 2007. |
Sinha et al., “9 Key attributes of energy dashboards and analytics tools,” Aug. 28, 2013, https://www.greenbiz.com/blog/2013/08/28/9-key-attributes-energy-dashboards-and=analytics-tools. |
Sinopoli, “Dashboards For Buildings,” http://www/automatedbuildings.com/news/dec10/articles/sinopoli/101119034404sinopoli.html, Dec. 2010. |
Sinopoli, “Modeling Building Automation and Control Systems,” http://www.automatedbuildings.com/news/jun13/articles/sinopoli/130521122303sinopoli.html, Jun. 2013. |
Zito, “What is Tridium Part 1,” http://blog.buildingautomationmonthly.com/what-is-tridium/, May 12, 2013. |
Zito, “What is Tridium Part 2,” http://blog.buildingautomationmonthly.com/tridium-part-2/, Sep. 10, 2013. |
International Search Report and Written Opinion dated Jul. 17, 2018 for International PCT Application No. PCT/US2018/025189 (12 pages). |
“Data analytics and smart buildings increase comfort and energy efficiency”, https://www.microsoft.com/itshowcase/Article/Content/845/Data-analytics-and-smart-buildings-increase-comfort-and-energy-efficiency, Dec. 19, 2016, 8 pages. |
Donnelly, “Building Energy Management: Using Data as a Tool”, http://www.buildingefficiencyinitiative.org/sites/default/files/legacy/InstituteBE/media/Library/Resources/Existing-Building-Retrofits/Using-Building-Data-as-a-Tool.pdf, Oct. 2012, 9 pages. |
“ASHRAE Dashboard Research Project,” 29 pages, Aug. 28, 2008. |
Olken et al., “Object Lessons Learned from a Distributed System for Remote Building Monitoring and Operation,” ACM SIGPLAN Notices, vol. 33, No. 10, pp. 284-295, Oct. 1998. |
Proliphix, Inc., “Proliphix IP Devices: HTTP API,” 28 pages, Jan. 23, 2006. |
Proliphix, Inc., “Remote Management User Guide,” 12 pages, prior to Aug. 27, 2007. |
Rogan et al., “Smart and Final Food Stores: A Case Study in Web Based Energy Information and Collection,” Web Based Energy Information and Control Systems: Case Studies and Application, Chapter 6, p. 59-64, 2005. |
Sharp, “Actius AL3DU 3D Lc Display High Performance 3D Visualization,” 2 pages, prior to Mar. 17, 2006. |
So et al., “Building Automation on the Information Superhighway,” ASHRAE Transactions, vol. 104, Part 2, pp. 176-191, 1998. |
So et al., “Building Automation Systems on the Internet,” Facilities vol. 15, No. 5/6, pp. 125-133, May/Jun. 1997. |
Talon, “Raptor Controller,” 6 pages, Oct. 2003. |
Talon, “Workstation Software,” 4 pages, Nov. 2002. |
Trane, “System Programming, Tracer Summit Version 14, BMTW-SVP01D-EN,” 623 pages, 2002. |
Lucid Design Group, Inc., “Building Dashboard,” 2 pages, Printed 5/30/2013. |
“America's Largest Managed Security Services Provider Launches Comprehensive, Integrated Covid-19 Safety Program for Office Buildings and Suites,” KastleSafeSpaces, 5 pages, May 11, 2020. |
“Biometric Door Reader With Body Temperature Detection,” Kintronics, 9 pages, accessed May 21, 2020. |
“Body Surface Temperature Screening with Alarm Function TVS-200IS-TVS-500IS,” Nippon Avionics Co., 3 pages, accessed May 21, 2020. |
“BriefCam announces video analytics innovation for contact tracing, physical distancing, occupancy management and face mask detection,” BriefCam LTD, 11 pages, Jun. 5, 2020. |
“Thermal Imaging SmartPhone Can Be used For Temperature Screening of People,” CAT, 3 pages, accessed Jul. 13, 2020. |
“Contact Tracing Now Available on Identiv's Hirsch Access Control Platform,” IDENTIV, 5 pages, May 21, 2020. |
Silva et al., “Cough localization for the detection of respiratory diseases in pig houses,” ScienceDirect, 7 pages, May 28, 2008. |
Oey et al., “Evaluation of Isolation Compliance Using Real Time Video In Critical Care,” North Shore University Hospital, 1 page, Oct. 9, 2015. |
“Facial Attendace System With Temperature Screening Now In India,” IANS, 5 pages, Mar. 19, 2020. |
“Plan to Re-Open,” EHIGH, 16 pages, accessed Jun. 13, 2020. |
“How Smarter AI-Powered Cameras Can Mitigate the Spread of Wuhan Novel,” AnyConnect, 22 pages, 2020. |
“How to fight COVID-19 with machine learning,” DataRevenue, 20 pages, accessed May 25, 2020. |
Honeywell, “INNCONTROL 5,” 2 pages, Aug. 8, 2018. |
“IP Door Access Control,” KINTRONICS, 21 pages, 2014. |
“Kogniz AI Health Response Platform,” KOGNIZ, 9 pages, accessed May 21, 2020. |
“Machine Learning Could Check If You're Social Distancing Properly at Work,” MIT Technology Review, 7 pages, Apr. 17, 2020. |
Punn et al., “Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques,” 10 pages, May 6, 2020. |
Burt, “NEC launches dual face biometric and fever detection system for access control,” BIOMETRIC Update, 4 pages, May 8, 2020. |
“Remote temperature monitoring,” AXIS Communication, 10 pages, 2014. |
“FebriEye-AI Based Thermal Temperature Screening System,” vehant, 1 page, 2020. |
“See The World In A New Way Hikvision Thermal Cameras,” HIKVISION, 12 pages, 2017. |
Allain, “Trying out the iPhone Infrared Camera: The FLIR One,” WIRED, 15 pages, 2014. |
Dasgupta, “Your voice may be able to tell you if you have Covid,” Hindustan Times, 4 pages, Apr. 16, 2020. |
Ganguty, “Gurugram-based startup Staqu has modified AI-powered JARVIS to battle coronavirus,” YOURSTORY, 7 pages, Mar. 31, 2020. |
Trane, “Creating Input/Output Objects,” 196 pages, retrieved Jul. 10, 2020. |
Trane, “Using the Graphing Control Editor,” 181 pages, retrieved Jul. 10, 2020. |
Genetec, Feature note, “Dashboards, A comprehensive view of your security and operations”, pp. 2, 2019 Genetec Inc. |
Extended European Search Report, EP Application No. 22155368.8, European Patent Office, dated Jun. 30, 2022 (10 pages). |
Johnson Controls Develops Industry-first AI Driven Digital Solution to Manage Clean Air, Energy, Sustainability, Comfort and Cost in Buildings, 7 pages, 2022. Accessed Aug. 29, 2022. |
Johnson Controls and Microsoft Announce Global Collaboration, Launch Integration between Open Blue Digital Twin and Azure Digital Twins, 7 pages, 2022. Accessed Aug. 29, 2022. |
Open Blue Companion Desktop User Guide, Johnson Controls, 18 pages, 2022. |
Open Blue Digital Twin:Designed for Buildings. Infused with AI, Johnson Controls, 17 pages, 2022. Accessed Mar. 29, 2022. |
Open Blue Enterprise Manager User Guide, Johnson Controls, Release 3.1, 72 pages, Jan. 28, 2021. |
Open Blue Enterprise Manager User Guide, Johnson Controls, Release 4.0, 78pages, Nov. 29, 2021. |
Open Blue Location Manager User Guide, Johnson Controls, Release 2.4.7, 28 pages, Jul. 20, 2022. |
Open Blue Platform, Make Smarter, Faster, More Data-Driven Decisions, Johnson Controls, 15 pages, 2022. Accessed Aug. 29, 2022. |
Honeywell, “Energy Manager User Guide,” Release 3.2, 180 pages, 2008. |
“Fuzzy Logic Toolbox 2.1, Design and Stimulate Fuzzy Logic Systems,” The MathWorks, 2 pages, May 2004. |
“Junk Charts, Recycling Chartjunk as junk art,” 3 pages, Oct. 2, 2006. |
“Model Predictive Control Toolbox 2, Develop Internal Model-Based Controllers for Constrained Multivariable Processes,” The MathWorks, 4 pages, Mar. 2005. |
Honeywell, “Product Guide 2004,” XP-002472407, 127 pages, 2004. |
“Statistics Toolbox, for Use with Matlab,” User's Guide Version2, The MathWorks, 408 pages, Jan. 1999. |
“Vykon Energy Suite Student Guide,” Tridium Inc., 307 pages, Mar. 3, 2006. |
“Web Based Energy Information Systems for Energy Management and Demand Response in Commercial Buildings,” California Energry Commission, 80 pages, Oct. 2003. |
Andover Controls, Network News, vol. 2, No. 2, 8 pages, 1997. |
Andover Controls World, 4 pages, Spring 1997. |
Bell et al., “Early Event Detection—Results from A Prototype Implementation,” AICHE Spring National Meeting, 15 pages, Apr. 2005. |
CADGRAPHICS, “The CADGRAPHICS User's Guide,” 198 pages, 2003. |
Carrier Comfort Network CCN Web, “Web Browser User Interface to the Carrier Comfort Network,” 2 pages, 2002. |
Carrier Comfort Network CCN Web, Overview and Configuration Manual, 134 Manual, Apr. 2006. |
Carrier Comfort Network CCN Web, Product Data, 2 pages, Apr. 2006. |
Carrier, “i-Vu Powerful and Intuitive Front End for Building Control,” 2 pages, Aug. 2005. |
Carrier, “i-Vu Web-Based Integrated Control System,” 3 pages, 2005. |
Carrier, Demo Screen Shots, 15 pages, prior to Aug. 27, 2007. |
Carrier, i-Vu CCN 4.0, Owner's Guide, 20 pages, Jul. 2007. |
Carrier, i-Vu CCN, 7 pages, 2007. |
Chan, “Rank Revealing QR Factorizations,” Linear Algebra and It's Applications, vol. 88-89, p. 67-82, Apr. 1987. |
Circon, “i-Browse Web-Based Monitoring and Control for Facility Management,” 2 pages, prior to Aug. 27, 2007. |
Australian Application 2009904740, Published copy, 28 pages, Application Filed on Sep. 29, 2009. |
Echelon, “Energy Control Solutions with the i.Lon SmartServer,” 4 pages, 2007. |
Echelon, “i.Lon 100e3 Internet Server Models 72101R-300, 72101R-308, 72102R-300, 72103-R300 . . . ” 5 pages, copyright 2002-2007. |
Echelon, “i.Lon 100e3 Internet Server New Features,” 15 pages, Sep. 2006. |
Echelon, “i.Lon SmartServer,” 5 pages, 2007. |
Honeywell News Release, “Honeywell's New Sysnet Facilities Integration System for Boiler Plant and Combustion Safety Processes,” 4 pages, Dec. 15, 1995. |
Honeywell, “Excel Building Supervisor-Integrated R7044 and FS90 Ver. 2.0,” Operator Manual, 70 pages, Apr. 1995. |
Honeywell Home and Building Control Bulletin, “Introduction of the S7350A Honeywell WebPAD Information Appliance,” 2 pages, Aug. 29, 2000; Picture of WebPad Device with touch screen, 1 Page; and screen shots of WebPad Device, 4 pages. |
Honeywell, Excel 15B W7760B Building Manager Release 2.02.00, Installation Instructions, 28 pages, Dec. 2004. |
Honeywell, The RapidZone Solution, Excel 5000 Open System, Application Guide, 52 pages, Jan. 2004. |
“Remote Building Monitoring and Operations Home Page,” 5 pages, prior to Aug. 27, 2007. |
“Carrier: i-Vu CCN,” 1 page, printed Mar. 11, 2008. |
Carrier: 33CSCCNWEB-01 CCN Web Internet Connection to the Carrier Comfort Network, 1 page, printed Mar. 11, 2008. |
“Products,” 5 pages, printed Jul. 3, 2007. http://www.docs.hvacpartners.com/idc/groups/public/documents/techlit/gs-controls-ivuccn.rtf. |
Lightstat Incorporated, “Internet Programmable Communicating Thermostats,” 1 page, printed Mar. 13, 2007. http://www.lightstat.com/products/istat.asp. |
Sharp, “Actius RD3D Desktop Replacement Notebook with Industry-Breakthrough 3D Screen,” 1 page, printed Jun. 16, 2005. http://www.sharpsystems.com/products/pc_notebooks/actius/rd/3d/. |
“Lights On A Wireless Lighting Control System,” 11 pages, printed Mar. 22, 2007 http://www2.sims.berkeley.edu/courses/is213/s06/projects/lightson;final.html. |
I.Lon 100e3 Internet Server, 1 page, prior to Aug. 27, 2007. |
I.Lon, SmartServer, 2 pages, prior to Aug. 27, 2007. |
I-stat, Demo Screen Shots, 9 pages, printed Mar. 13, 2007. |
I-stat, The Internet Programmable Thermostat, 2 pages, prior to Aug. 27, 2007. |
Ball, “Green Goal of ‘Carbon Neutrality’ Hits Limit,” TheWall Street Journal, 7 pages, Dec. 30, 2008. |
Network Integration Engine (NIE), Johnson Controls, 3 pages, Nov. 9, 2007. |
Network Integration Engine (NIE), Product Bulletin, Johnson Controls, pp. 1-11, Jan. 30, 2008. |
Kourti, “Process Analysis and Abnormal Situation Detection: From Theory to Practice,” IEEE Control Systems Magazine, p. 10-25, Oct. 2002. |
Mathew, “Action-Oriented Benchmarking, Using CEUS Date to Identify and Prioritize Efficiency Opportunities in California Commercial Buildings,” 26 pages, Jun. 2007. |
Morrison et al., “The Early Event Detection Toolkit,” Honeywell Process Solutions, 14 pages, Jan. 2006. |
Narang, “WEBARC: Control and Monitoring of Building Systems Over the Web,” 53 pages, May 1999. |
Number | Date | Country | |
---|---|---|---|
20230205153 A1 | Jun 2023 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 17833207 | Jun 2022 | US |
Child | 18171075 | US | |
Parent | 17187278 | Feb 2021 | US |
Child | 17833207 | US |