Geo-fencing with advanced intelligent recovery

Abstract

A building temperature may be allowed to deviate from a comfort temperature set point to an energy saving temperature when a user is outside the geo-fence. Crossing information indicating when a user crosses into the geo-fence may be received. The crossing information may be stored over time to develop a history of when the user crosses into the geo-fence. A probability function that operates on at least part of the stored crossing information may be used to predict a time range of when the user is expected to next arrive at the building, the time range having a starting time and an ending time. The HVAC system may be instructed to drive the building temperature to an intermediate temperature at the starting time of the time range, wherein the intermediate temperature is between the energy saving temperature and the comfort temperature set point.

Description

TECHNICAL FIELD

The disclosure relates generally to building automation and more particularly to building automation systems with geo-fencing capabilities.

BACKGROUND

Building automation systems are often used to control safety, security and/or comfort levels within a building or other structure. Illustrative but non-limiting examples of building automation systems include Heating, Ventilation and/or Air Conditioning (HVAC) systems, security systems, lighting systems, fire suppression systems and/or the like. In some cases, a building automation system may enter an unoccupied mode when the building is expected to be unoccupied and an occupied mode when the building is expected to be occupied. For example, when the building automation system includes an HVAC system, the building automation system may set a temperature set point of the HVAC system to a more energy efficient setting when in an unoccupied mode and a more comfortable setting when in an occupied mode. In another example, when the building automation system includes a security system, the building automation system may set the security system to a locked or away state when in an unoccupied mode and an unlocked or home state when in an occupied mode.

SUMMARY

The present disclosure pertains generally to geo-fencing, and more particularly to building automation systems with geo-fencing capabilities. An example of the disclosure may be found in a method of implementing advanced intelligent recovery (AIR) in an HVAC system for a building. The HVAC system may implement geo-fencing using a geo-fence that is defined for the building or for one or more individual users of the building. A building temperature may be allowed to deviate from a comfort temperature set point to an energy saving temperature when a user is outside the geo-fence. Crossing information indicating when a user crosses into the geo-fence may be received. The crossing information may be stored over time to develop a history of when the user crosses into the geo-fence. At least some of the stored crossing information may be processed to determine a comfort time that is related to when the user is expected to next arrive at the building. The HVAC system may be programmed to drive the building temperature towards the comfort temperature set point based on the comfort time. In some cases, the comfort time is based at least in part upon an average value of at least some of the stored crossing information. In some instances, the HVAC system may be instructed to drive the building temperature to reach the comfort temperature set point by the comfort time.

In some instances, processing at least some of the stored crossing information may include using a probability function that operates on at least part of the stored crossing information in order to predict a time range of when the user is expected to next arrive at the building. The time range may have a starting time and an ending time, where the comfort time is at or between the starting time and the ending time. The HVAC system may be programmed to drive the building temperature to an intermediate temperature between the energy saving temperature and the comfort temperature set point at the starting time of the time range. In some cases, the HVAC system may be further programmed to drive the building temperature to the comfort temperature set point by at least the ending time of the time range. In some instances, the user may be permitted to select a balance between comfort and energy savings. When so provided, the intermediate temperature may be determined at least in part based upon the selected balance between comfort and energy savings.

Another example of the disclosure may be found in a method of implementing advanced intelligent recovery (AIR) in an HVAC system for a building. The HVAC system may implement geo-fencing using a geo-fence that is defined for the building. A building temperature may be allowed to deviate from the comfort temperature set point to an energy saving temperature when all of a plurality of users are determined to be outside of the geo-fence. Crossing information indicating when each of the users crosses into the geo-fence may be received. The crossing information may be stored over time for each of the plurality of users to develop a history of when each of the plurality of users crosses into the geo-fence. A probability function that operates on at least part of the stored crossing information may be used to predict a time range of when each of the plurality of users is expected to next arrive at the building. Each time range may have a starting time and an ending time. The HVAC system may be programmed to drive the building temperature to an intermediate temperature by the starting time of the time range that corresponds to the particular user that is expected to arrive first at the building.

Another example of the disclosure may be found in an HVAC control system for controlling operation of HVAC equipment within a building. The HVAC control system may be configured to be in operative communication with a user's mobile device running an executable program (e.g. application program) that provides geo-fence functionality. The HVAC control system may include an input for receiving crossing information indicating when the user's mobile device crosses into a geo-fence that is defined for the building. The HVAC control system has a memory for storing the crossing information over time to develop a history of when the user's mobile device crosses into the geo-fence. The HVAC control system may further have a controller that is operatively coupled to the input and the memory. The controller may be configured to control the HVAC equipment and allow a building temperature in the building to deviate from a comfort temperature set point to an energy saving temperature when the user's mobile device is outside the geo-fence. The controller may be configured to use a probability function that operates on at least part of the stored crossing information to predict a time range of when the user's mobile device is expected to next arrive at the building. The time range may have a starting time and an ending time. The controller may be further configured to control the HVAC equipment to drive the building temperature to an intermediate temperature that is between the energy saving temperature and the comfort temperature set point by the starting time of the time range.

Another example of the disclosure may be found in an HVAC controller configured to operate HVAC equipment within a building. A user of the building may have a mobile device with location services. The HVAC controller may include a memory for storing at least two targets. One of the at least two targets including a starting time point and an intermediate temperature set point. Another of the at least two targets including an ending time point and a comfort temperature set point. A communications module may receive the at least two targets from a remote server. An equipment interface may provide control signals to the HVAC equipment. A controller of the HVAC controller may be operably coupled to the memory, the communications module and the equipment interface, and may be configured to operate the HVAC equipment, via the equipment interface, in accordance with at least two targets received via the communications module and stored in the memory. The controller may be further configured to calculate one or more heating or cooling ramps based upon the at least two targets such that the building will attain the intermediate temperature set point by the starting time point and the building will attain the comfort temperature set point at or before the ending time point.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic view of an illustrative building automation system;

FIG. 2 is a schematic view of another illustrative building automation system;

FIG. 3 is a schematic view of another illustrative building automation system;

FIG. 4 is a schematic view of an illustrative HVAC control system;

FIGS. 5 and 6 are graphs illustrating features of advanced intelligent recovery in accordance with the disclosure;

FIG. 7 is a schematic view of an illustrative HVAC controller;

FIG. 8 is a flow diagram showing an illustrative method that may be carried out using the HVAC control system of FIG. 4;

FIG. 9 is a flow diagram showing an illustrative method that may be carried out using the HVAC control system of FIG. 4; and

FIG. 10 is a flow diagram showing an illustrative method that may be carried out using the HVAC control system of FIG. 4.

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 aspects of the disclosure to the particular illustrative embodiments described. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure.

DESCRIPTION

The following description should be read with reference to the drawings wherein like reference numerals indicate like elements. The drawings, which are not necessarily to scale, are not intended to limit the scope of the disclosure. In some of the figures, elements not believed necessary to an understanding of relationships among illustrated components may have been omitted for clarity.

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 present disclosure is directed generally at building automation systems. Building automation systems are systems that control one or more operations of a building. Building automation systems can include HVAC systems, security systems, fire suppression systems, energy management systems and/or any other suitable systems. While HVAC systems are used as an example below, it should be recognized that the concepts disclosed herein can be applied to building control systems more generally.

A building automation system may include a controller, computer and/or other processing equipment that is configured to control one or more features, functions, systems or sub-systems of a building. In some cases, devices that can be used by individuals to communicate with the controller, computer and/or other processing equipment. In some cases, a building automation system may include a plurality of components that, in combination, perform or otherwise provide the functionality of the building automation system. A building automation system may be fully contained within a single building, or may include components that are spread between multiple housings and/or across multiple locations. In some embodiments, a building automation system, regardless of the physical location(s) of the components within the building automation system, may control one or more building systems within a single building. In some cases, a building automation system, regardless of the physical location(s) of the components within the building automation system, may control one or more building systems within a plurality of buildings, optionally in accordance with a common operating procedure and/or distinct operating procedures for each building as desired.

FIG. 1 is a schematic illustration of an illustrative building automation system 10. The illustrative building automation system 10 includes a server 12 that may be configured to communicate with a mobile device 14 and with a building controller 16. It will be appreciated that for simplicity, only a single mobile device 14 is shown, while in many cases the server 12 may be configured to communicate directly or indirectly with any number of mobile devices 14. Similarly, while a single building controller 16 is illustrated, in many cases the server 12 may be configured to communicate directly or indirectly with any number of building controllers 16, located in a single building or distributed throughout a plurality of buildings. The server 12 is illustrated as a single, cloud-based server. In some cases, the server 12 may be a single server. In some instances, the server 12 may generically represent two, three or more servers commonly located or spread between two or more physical locations. In some cases, the server 12 handles communication with both the mobile device 14 and the building controller 16. In some instances, as shown for example in FIG. 2, distinct servers may carry out each communications protocol if desired.

In some cases, the mobile devices 14 may communicate with the server 12 at least partially through a network such as the Internet, sometimes using a cell phone network, WiFi network and/or any other suitable network. Likewise, it is contemplated that the building controller 16 may communicate with the server 12 at least partially through a network such as the Internet, sometimes using a cell phone network, WiFi network and/or any other suitable network.

FIG. 2 is a schematic illustration of another illustrative building automation system 20. The illustrative building automation system 20 includes a first server 22 that may be configured to communicate with a mobile device 14 (or multiple mobile devices 14) and a second server 24 that may be configured to communicate with a building controller 16 (or multiple building controllers 16). The first server 22 may be configured to receive data from the mobile device 14, process the data, and send data to the mobile device 14 and/or to the second server 24. The second server 24 may be configured to receive data from the building controller 16, process the data, and send data to the building controller 16 and/or to the first server 22. In some instances, the first server 22 may be configured to permit data from the mobile device 14 to pass directly through to the building controller 16. In some cases, the second server 24 may be configured to permit data from the building controller 16 to pass directly through to the mobile device 14. The first server 22 and the second server 24 may be configured to communicate with each other. In some cases, each of the first server 22 and the second server 24 may perform a defined function.

It will be appreciated that for simplicity, only a single mobile device 14 is shown, while in many cases the first server 22 may be configured to communicate directly or indirectly with any number of mobile devices 14. Similarly, while a single building controller 16 is illustrated, in many cases the second server 24 may be configured to communicate directly or indirectly with any number of building controllers 16, located in a single building or distributed throughout a plurality of buildings.

The first server 22 is illustrated as a single, cloud-based server. In some cases, the first server 22 may be a single server. In some instances, the first server 22 may generically represent two, three or more servers commonly located or spread between two or more physical locations. The second server 24 is illustrated as a single, cloud-based server. In some cases, the second server 24 may be a single server. In some instances, the second server 24 may generically represent two, three or more servers commonly located or spread between two or more physical locations. In some cases, the first server 22 and the second server 24 may, in combination, be considered as representing or forming a building automation server 26.

FIG. 3 is a schematic illustration of a building automation system 30 in which a building automation server 26 is configured to communicate with a plurality of buildings 32 as well as a plurality of mobile devices 34. It is contemplated that the building automation server 26 may include a single server or two or more distinct servers at one or several locations. The building automation system 30 may serve any desired number of buildings. As illustrated, the plurality of buildings 32 includes a Building One, labeled as 32A, a Building Two, labeled as 32B, and so on through a Building “N”, labeled as 32N. It will be appreciated that the building automation system 30 may include a large number of buildings, each in communication with a central (or distributed) building automation server 26. In some cases, each building may be associated with a unique customer account, as further described below.

As illustrated, each of the plurality of buildings 32 includes a building controller and one or more pieces of building equipment. The building equipment may, for example, be HVAC equipment, security equipment, lighting equipment, fire suppression equipment, and/or the like. In particular, the building 32A includes a building controller 36A and building equipment 38A, the building 32B includes a building controller 36B and building equipment 38B, and so on through the building 32N, which includes a building controller 36N and building equipment 38N. It will be appreciated that while each building is illustrated as having a single building controller and single building equipment controlled by the single building controller, in some cases a building may have multiple related or unrelated building controllers and/or multiple pieces of related or unrelated building equipment.

The plurality of mobile devices 34 may be considered as being divided into a set of mobile devices each associated with a corresponding building. In the example shown, the plurality of mobile devices 34 may be considered as being divided into a set of mobile devices 40A that are associated with the building 32A, a set of mobile devices 40B that are associated with the building 32B, and so on through a set of mobile devices 40N that are associated with the building 32N. As illustrated, the set of mobile devices 40A includes a first mobile device 42A, a second mobile device 44A and a third mobile device 46A. The set of mobile devices 40B includes a first mobile device 42B, a second mobile device 44B and a third mobile device 46B and so on through the set of mobile devices 40N, which includes a first mobile device 42N, a second mobile device 44N and a third mobile device 46N. This is merely illustrative, as any number of mobile devices such as smartphones or tablets, may be associated with a particular building, as desired. Each user or occupant of a building may have an associated mobile device, or may have several associated mobile devices. In some cases, a user or occupant may have a mobile device associated with several different locations such as a home, a cabin or a place of work.

Associating a mobile device with a particular building generally involves the individual who uses the particular mobile device. In the example shown in FIG. 3, a mobile device can communicate with the building automation server 26, and may cause the building automation server 26 to provide instructions to the building controller that is associated with the particular mobile device. For example, and in some instances, a mobile phone with location services activated can be used to inform the building automation server 26 as to the whereabouts of the user relative to a geo-fence defined for the associated building, and in some cases an estimate of how long before the user will arrive at the associated building. The building automation server 26 may send a command to the building controller of the associated building to operate the building equipment in an energy savings manner when all of the users that are associated with a particular building are determined to be away from the building (e.g. the building is unoccupied). The building automation server 26 may send a command to the building controller of the associated building to operate the building equipment in a comfort mode when all of the users that are associated with a particular building are determined or deemed not to be away from the building (e.g. the building is occupied).

FIG. 4 is a schematic illustration of an HVAC control system 48 that is configured to control operation of HVAC equipment 50 within a user's building. In some instances, the HVAC control system 48 may be considered as being an example or a manifestation of the building automation server 26 described with respect to FIGS. 2 and 3 and is in operative communication with a user's mobile device 14 that is running an executable program providing geo-fencing functionality, such as a geo-fence application program. The illustrative HVAC control system 48 includes an input 52 for receiving crossing information indicating when the user's mobile device 14 crosses into a geo-fence that is defined for the building, a memory 54 for storing the crossing information over time to develop a history of when the user's mobile device 14 crosses into the geo-fence, and a controller 56 that is operatively coupled to the input 52 and the memory 54. The controller 56 may be configured to control either directly or indirectly through an intervening HVAC controller (not illustrated), the HVAC equipment 50 and allow a building temperature in the building to deviate from a comfort temperature set point to an energy saving temperature when the user's mobile device 14 is outside of the geo-fence.

In some instances, the controller 56 may be configured to analyze historical geo-fence crossing data to determine an estimated comfort time. The comfort time is an indication of when the user is expected to cross the geo-fence and/or actually arrive home for a particular day. The historical geo-fence crossing data may, for example, be analyzed to determine an average or mean estimated return time. In some cases, a median or mode may be calculated, or any other useful statistical analysis. The analysis may be based on a set number of previous days, and thus may be updated periodically. In some instances, for example, the analysis may yield a weighted average in which more recent historical geo-fence crossing data is weighed more heavily than older historical geo-fence crossing data.

In some instances, the controller 56 is further configured to use a probability function that operates on at least part of the stored crossing information to predict a time range of when the user's mobile device 14 is expected to next arrive at the building. The time range may have a starting time and an ending time. The controller 56 may be configured to control the HVAC equipment 50 to drive the building temperature to an intermediate temperature that is between the energy saving temperature and the comfort temperature set point by the starting time of the time range.

Turning briefly to FIGS. 5 and 6, FIG. 5 is a schematic graphical representation showing a probability of a user returning home at any particular point in time. Time is graphed on the X axis while probability is graphed on the Y axis. By tabulating geo-fence crossing data over time, the controller 56 can determine the relative probability that the user will return home, or at least cross a geo-fence heading for home, at any given point in time. In many cases, as can be seen, the probability curve has a bell-shaped curve that is roughly centered on an average return time. If the user tends to return home within a relatively tight time frame, the peak on the probability curve will be relatively narrow, and the probability curve will have a smaller standard deviation. Conversely, if the user tends to return home over a wider range of time, the peak on the probability curve will be wider, and the probability curve will have a relatively larger standard deviation. In some cases, the controller 56 may track and calculate the relative probability of a return home for a single user, or for each of a plurality of users, and/or for a collection of users.

In some instances, the controller 56 may determine a time range including a starting time and an ending time from a probability distribution. The starting time and the ending time may be determined using any suitable or desirable criteria. In some instances, for example, the time range may have a span that is about equal to one standard deviation, although this is not required. On FIG. 5, a starting point 60 corresponds to a Time-1 while an ending point 62 corresponds to a Time-2. These points 60, 62 are carried forward onto FIG. 6, which is a graph of building temperature versus time. Time is again graphed on the X axis while building temperature is graphed on the Y axis. It can be seen that the starting point 60 corresponds to an intermediate temperature 64 that is between an energy saving temperature and a comfort temperature 66. In some cases, the ending point 62 corresponds to the comfort temperature 66. In some instances, if a single time point such as a comfort time is determined, the comfort time may correspond to Time-1, Time-2 or some intermediate point.

This example shows a heating ramp, although a similar (but opposite in direction) cooling ramp can also be drawn when the HVAC system is in a cooling mode. In the example shown, during the day the building temperature 68 may start at the comfort temperature 66. Once the controller 56 determines that the building is now unoccupied, such as after being notified that all users have crossed the geo-fence in an outward direction, the building temperature 68 may be allowed to drift downward as indicated by building temperature line 68. In some cases, the building temperature 68 will only be allowed to drift downward a certain number of degrees and then hold there until a user is expected to return to the building. In some instances, the number of degrees that the building temperature 68 is allowed to drift may depend on, for example, the radius of the geo-fence, how much warning time the system has been given in the past before a user actually arrives at the building, and/or on any other suitable criteria as desired.

Once the building's HVAC controller is notified of the starting point 60, the desired intermediate temperature 64 that is desired at the starting point 60, the ending point 62, and/or the corresponding comfort temperature 66 that is desired at the ending point 62, the HVAC controller may calculate a heating ramp 70. The heating ramp 70 may be based at least in part upon historical data retained by the HVAC controller with respect to how quickly the HVAC equipment 50 (FIG. 4) can heat the building under the present conditions. The particulars of the heating ramp 70, including the slope of the heating ramp 70 and the starting point 72 may vary, depending on season, local climate, etc. The heating ramp 70 may be calculated in order to help ensure that the building is at the intermediate temperature 64 by the starting point 60 and/or is at the comfort temperature 66 by the ending point 62. This way, if a user returns home at or near the starting point 60, which should be a little earlier than an average or even mean expected return time, the building may not be at the comfort temperature but may at least be reasonably comfortable.

The graphs shown in FIGS. 5 and 6 are schematic and are generic as to day. In some cases, the probability function used by the controller 56 may vary from day to day. For example, people's daily schedules can vary from day to day. In some cases, it may be useful when determining the probability distribution for a particular user returning home on a Monday, Tuesday, Wednesday or Thursday, the controller 56 may utilize historical geo-fence crossing data from Mondays, Tuesdays, Wednesdays and Thursdays. However, when determining a probability distribution for a particular user returning home on a Friday, the controller 56 may utilize historical geo-fence crossing data from Mondays, Tuesdays, Wednesdays, Thursdays and Fridays. In some cases, for weekends, the controller 56 may utilize historical geo-fence crossing data from Saturdays and Sundays. It will be appreciated that this is illustrative only, as other combinations of historical geo-fence crossing data may prove more accurate for a particular situation.

In some instances, the controller 56 may utilize historical data only for specific days. For example, in order to determine the probability distribution for a user returning home on a particular Tuesday, the controller 56 may look only at historical geo-fence crossing data for previous Tuesdays. In some cases, the controller 56 may look at historical data going back a particular length of time, such as the past two weeks, the past month, and so on. Thus, the controller 56 may periodically update its estimates for when a user is expected to return home.

Returning to FIG. 4, while the HVAC control system 48 has thus far been described with respect to a single user, in some cases there may be a plurality of users. In such cases, the input 52 may be configured to receive crossing information indicating when each of a plurality of user's mobile devices 14 cross into the geo-fence associated with the building. In some cases, the memory 54 may be configured to store crossing information over time for each of the plurality of user's mobile devices 14. The controller 56 may, for example, be configured to control the HVAC equipment 50 and allow the building temperature to deviate from the comfort temperature set point to an energy saving temperature when all of the plurality of user's mobile devices 14 are outside the geo-fence. In some cases, the controller 56 may be configured to use a probability function that operates on at least part of the stored crossing information to predict a time range of when each of the plurality of user's mobile devices 14 is expected to next arrive at the building. Each time range may have a starting time and an ending time. In some instances, the controller 56 may control the HVAC equipment to drive the building temperature to an intermediate temperature that is between the energy saving temperature and a comfort temperature set point by the starting time of the time range that corresponds to the user's mobile device 14 that is expected to arrive first at the building.

FIG. 7 is a schematic diagram of an illustrative HVAC controller 74 that is configured to operate HVAC equipment 76 that is within a building. A user of the building may have a mobile device 14 with location services. In some cases, the HVAC controller 74 may include a memory 78 for storing at least two targets. One of the at least two targets may include a starting time point, such as the starting time point 60 in FIGS. 5 and 6, and an intermediate temperature, such as the intermediate temperature 64 shown in FIGS. 5 and 6. Another of the at least two targets may include an ending time point, such as the ending time point 62 in FIGS. 5 and 6, and a comfort temperature set point, such as the comfort temperature 66 shown in FIGS. 5 and 6. A communications module 80 may allow the HVAC controller 74 to receive the at least two targets from an external source such as a remote server 88. An equipment interface 82 may be used to provide control signals to the HVAC equipment 76. A controller 84 may be operably coupled to the memory 78, to the communications module 80 and to the equipment interface 82.

The controller 84 may be configured to operate the HVAC equipment 76, via the equipment interface 82, in accordance with at least two targets received via the communications module 80 and stored in the memory 78. In some cases, the controller 84 may calculate one or more heating or cooling ramps, such as the heating ramp 70 illustrated in FIG. 6, based upon the at least two targets such that the building will attain the intermediate temperature set point at a time corresponding to the starting time point and/or the building will attain the comfort temperature set point at or before the ending time point.

In some cases, the at least two targets received from the remote server 88 are calculated by the remote server 88 based, at least in part, upon a probability function that references historical geo-fence crossing data. Optionally, the HVAC controller 74 may include a user interface 86, although this is not required. In some cases, the controller 84 is configured to permit a user to select, using the user interface 86, a balance setting between comfort and energy savings. The selected balance setting may be uploaded to the remote server 88 for use in calculating at least one of the at least two targets. If the user selects a balance weighted towards comfort, the remote server 88 may calculate an intermediate temperature that is relatively closer to the comfort temperature. Conversely, if the user selects a balance weighted towards energy savings, the remote server 88 may calculate an intermediate temperature that is relatively farther away from the comfort temperature. In some cases, the intermediate temperature may be far enough from the comfort temperature that the comfort temperature may not be fully achieved by the ending time point.

FIG. 8 is a flow diagram of an illustrative method that may be carried out by the HVAC control system 48 and/or the HVAC controller 74, where the HVAC control system 48 implements geo-fencing using a geo-fence that is defined for a building or for one or more individuals associated with the building. A building temperature is allowed to deviate from a comfort temperature set point to an energy saving temperature when a user is outside the geo-fence as indicated at block 90. As seen at block 92, crossing information indicating when a user crosses into the geo-fence may be received. The crossing information may be stored over time to develop a history of when the user crosses into the geo-fence as indicated at block 94. As seen at block 95, at least some of the stored crossing information may be processed to determine a comfort time that is related to when the user is expected to next arrive at the building. For example, the comfort time may be an estimate of when the user will cross the geo-fence on their way home. In some instances, the comfort time may be an estimate of when the user will actually arrive home and thus may factor in the location of the geo-fence and how far from the home the geo-fence is. In some cases, the comfort time may be based at least in part upon an average value of at least some of the stored crossing information. The HVAC system may be instructed to drive the building temperature towards the comfort temperature set point based on the comfort time as seen at block 97. In some cases, the HVAC system may be instructed to drive the building temperature to reach the comfort temperature by the comfort time.

In some embodiments, processing at least some of the stored crossing information includes using a probability function that operates on at least part of the stored crossing information to predict a time range of when the user is expected to next arrive at the building. The time range may have a starting time and an ending time, and the comfort time may be at or between the starting time and/or the ending time. In some cases, the HVAC system may be programmed to drive the building temperature to an intermediate temperature that is between the energy saving temperature and the comfort temperature set point by the starting time of the time range. In some instances, the HVAC system may be instructed to drive the building temperature to the comfort temperature set point by at least the ending time of the time range.

FIG. 9 is a flow diagram of an illustrative method that may be carried out by the HVAC control system 48 and/or the HVAC controller 74, where the HVAC control system 48 implements geo-fencing using a geo-fence that is defined for a building or for one or more individuals associated with the building. A building temperature is allowed to deviate from a comfort temperature set point to an energy saving temperature when a user is outside the geo-fence as indicated at block 90. As seen at block 92, crossing information indicating when a user crosses into the geo-fence may be received. The crossing information may be stored over time to develop a history of when the user crosses into the geo-fence as indicated at block 94. As seen at block 96, a probability function that operates on at least part of the stored crossing information may be used to predict a time range of when the user is expected to next arrive at the building. The time range may have a starting time and an ending time. The HVAC system may be programmed to drive the building temperature to an intermediate temperature that is between the energy saving temperature and the comfort temperature set point by the starting time of the time range, as generally indicated at block 98.

In some embodiments, and as optionally indicated at block 100, the HVAC system may be instructed to drive the building temperature to the comfort temperature set point at least by the ending time of the time range. Optionally, as seen at block 102, the user may be permitted to select a balance between comfort and energy savings. The intermediate temperature being determined at least in part based upon the selected balance between comfort and energy savings. If, for example, the user selects a balance weighted towards comfort, the intermediate temperature is closer to the comfort temperature set point than if the user selects a balance weighted towards energy savings. In some cases, as optionally indicated at block 104, upon identifying that the user has crossed out of the geo-fence, the user may be informed that the HVAC system will allow the building temperature to deviate from the comfort temperature set point in order to save energy. In some cases, the user may be asked if they would like the HVAC system to allow the building temperature to deviate from the comfort temperature set point in order to save energy. In some embodiments, the user may be given the opportunity, via the executable program running on their mobile device 14, to opt out of geo-fencing. If a user selects this, the HVAC control system 48 may ignore the location of that user until the user opts back in.

In some instances, the user may be given the opportunity, via the executable program running on their mobile device 14 to modify or even cancel a recovery towards the comfort temperature set point. For example, if the HVAC system determines that a user is expected home at about 6 pm on a particular day, but the user has plans after work that day, the user can inform the HVAC system to delay the recovery by several hours. As another example, the user may be leaving work early, and thus may wish to instruct the HVAC system to start the recovery at an earlier time. As another example, perhaps the user is going to the airport after work for a short business trip. In this case, the user can inform the HVAC system to cancel the recovery for the particular day, or perhaps maintain an away temperature for the duration of their business trip. In some instances, the user may modify the recovery by altering the temperature set point and/or the estimated time home. It will be appreciated that each of the steps indicated at block 100, 102 and 104 in the illustrative method of FIG. 9 are optional, and can be included or excluded in any particular combination.

FIG. 10 is a flow diagram of an illustrative method that may be carried out by the HVAC control system 48 and/or the HVAC controller 74, where the HVAC control system 48 implements geo-fencing using a geo-fence that is defined for a building. A building temperature is allowed to deviate from a comfort temperature set point to an energy saving temperature when all of a plurality of users are outside the geo-fence as indicated at block 106. As seen at block 108, crossing information indicating when each of the plurality of users cross into the geo-fence may be received. The crossing information may be stored over time to develop a history of when each of the plurality of users cross into the geo-fence as indicated at block 110. As seen at block 112, a probability function may operate on at least part of the stored crossing information to predict a time range of when each of the plurality of users are expected to next arrive at the building. The time range may have a starting time and an ending time. The HVAC system may be programmed to drive the building temperature to an intermediate temperature that is between the energy saving temperature and the comfort temperature set point by the starting time of the time range that corresponds to the user that is expected to arrive first at the building, s generally indicated at block 114.

Those skilled in the art will recognize that the present disclosure may be manifested in a variety of forms other than the specific embodiments described and contemplated herein. Accordingly, departure in form and detail may be made without departing from the scope and spirit of the present disclosure as described in the appended claims.

Claims

1. A method of implementing advanced intelligent recovery in an HVAC system for a building, the HVAC system implementing geo-fencing using a geo-fence that is defined for the building or a user of the building, the method comprising: allowing a building temperature to deviate from a comfort temperature set point to an energy saving temperature when the user is outside the geo-fence as indicated by an outbound geo-fence crossing;receiving inbound geo-fence crossing information indicating when the user crosses into the geo-fence as indicated by one or more inbound geo-fence crossings;storing the inbound geofence crossing information over time resulting in historical inbound geo-fence crossing data that indicates historically when the user has crossed into the geo-fence;processing, for a particular day of a week, the historical inbound geo-fence crossing data for only one or more specific days of the week associated with the particular day of the week to predict a next inbound geo-fence crossing time representative of when the user is expected to next cross into the geo-fence for the particular day of the week, wherein processing the historical inbound geo-fence crossing data that indicates historically when the user has crossed into the geo-fence comprises determining a probability function of a next inbound geo-fence crossing for the user and for the particular day of the week, wherein the probability function indicates, for the user and for each time of a time range of the particular day of the week, a probability that the user will cross into the geo-fence; andinstructing the HVAC system to drive the building temperature towards the comfort temperature set point based on the predicted next inbound geo-fence crossing time.

2. The method of claim 1, wherein the predicted next inbound geo-fence crossing time is based, at least in part, on one or more of an average, a median or a mode of at least some of the historical inbound geo-fence crossing data.

3. The method of claim 1, wherein the HVAC system is instructed to drive the building temperature to reach the comfort temperature set point by a comfort time that is based at least in part on the predicted next inbound geo-fence crossing time.

4. The method of claim 3, wherein the time range has a starting time and an ending time, the comfort time at or between the starting time and ending time.

5. The method of claim 4, wherein instructing the HVAC system to drive the building temperature towards the comfort temperature set point based on the comfort time comprises instructing the HVAC system to drive the building temperature to an intermediate temperature at the starting time of the time range, wherein the intermediate temperature is between the energy saving temperature and the comfort temperature set point.

6. The method of claim 4, further comprising: instructing the HVAC system to drive the building temperature to the comfort temperature set point by at least the ending time of the time range.

7. The method of claim 5, further comprising permitting the user to select a balance between comfort and energy savings, the intermediate temperature being determined at least in part based upon the selected balance between comfort and energy savings.

8. The method of claim 7, wherein if the user selects a balance weighted towards comfort, the intermediate temperature is closer to the comfort temperature set point than if the user selects a balance weighted towards energy savings.

9. The method of claim 1, further comprising, upon identifying that the user has crossed out of the geo-fence, informing the user that the HVAC system will allow the building temperature to deviate from the comfort temperature set point in order to save energy.

10. The method of claim 9, wherein, when the user has crossed out of the geo-fence, querying the user if the user would like the HVAC system to allow the building temperature to deviate from the comfort temperature set point in order to save energy.

11. The method of claim 9, further comprising allowing the user to instruct the HVAC system to modify or cancel a recovery towards the comfort temperature set point.

12. The method of claim 1, further comprising: allowing the building temperature to deviate from the comfort temperature set point to the energy saving temperature when all of a plurality of users are outside the geo-fence as indicated by outboard geo-fence crossings for each of the plurality of users;receiving inbound geo-fence crossing information indicating when each of the plurality of users crosses into the geo-fence;storing the inbound geo-fence crossing information over time for each of the plurality of users resulting in historical inbound geo-fence crossing data for each of the plurality of users, where the historical inbound geo-fence crossing data for each of the plurality of users indicates when each of the plurality of users has crossed into the geo-fence over time;processing at least some of the historical inbound geo-fence crossing data to predict a next inbound geo-fence crossing time representative of when any of the plurality of users is expected to next cross into the geo-fence; andinstructing the HVAC system to drive the building temperature towards the comfort temperature set point based on the predicted next inbound geo-fence crossing time.

13. The method of claim 1, wherein determining the probability function comprises determining the probability function to vary from another probability function of the next inbound geo-fence crossing for the user and for another day of the week that is different than the particular day.

14. The method of claim 1, wherein the particular day is Tuesday and wherein processing the historical inbound geo-fence crossing data comprises processing the historical inbound geo-fence crossing data only for one or more Tuesdays to predict the next inbound geo-fence crossing time representative of when the user is expected to next cross into the geo-fence for the particular day of the week.

15. An HVAC control system for controlling operation of HVAC equipment within a building, the HVAC control system configured to be in operative communication with a mobile device running an executable program providing geo-fence functionality, the HVAC control system comprising: an input for receiving inbound crossing information indicating when the mobile device crosses into a geo-fence that is defined for the building;a memory for storing the inbound crossing information over time resulting in historical inbound geo-fence crossing data that indicates when the mobile device has crossed into the geo-fence;a controller operatively coupled to the input and the memory, the controller configured to control the HVAC equipment and allow a building temperature in the building to deviate from a comfort temperature set point to an energy saving temperature when the mobile device is outside the geo-fence;the controller is further configured to determine, for a particular day of a week, a probability function of a next inbound geo-fence crossing for the mobile device and for the particular day of the week based on the stored historical inbound geo-fence crossing data for only one or more specific days of the week associated with the particular day of the week, wherein the probability function indicates, for the mobile device and for each time of a time range of the particular day of the week, a probability that the mobile device will cross into the geo-fence, the time range having a starting time and an ending time; andthe controller is further configured to control the HVAC equipment to drive the building temperature to an intermediate temperature at the starting time of the time range, wherein the intermediate temperature is between the energy saving temperature and the comfort temperature set point.

16. The HVAC control system of claim 15, wherein the controller is further configured to control the HVAC equipment to drive the building temperature to the comfort temperature set point by at least the ending time of the time range.

17. The HVAC control system of claim 15, wherein the energy saving temperature is an energy saving temperature set point.

18. The HVAC control system of claim 15, wherein: the input is for receiving inbound geo-fence crossing information indicating when each of a plurality of mobile devices cross into the geo-fence;the memory for storing the inbound geo-fence crossing information over time resulting in historical inbound geo-fence crossing data for each of the plurality of mobile devices;the controller is configured to control the HVAC equipment and allow the building temperature to deviate from the comfort temperature set point to the energy saving temperature when all of the plurality of mobile devices are outside the geo-fence;the controller is further configured to use a respective probability function of a next inbound geo-fence crossing for each mobile device of the plurality of mobile devices and for a particular day of a week and that operates on the stored historical inbound geo-fence crossing data to predict a time range of when each of the plurality of mobile devices is expected to next arrive at the building, each time range having a starting time and an ending time; andthe controller is further configured to control the HVAC equipment to drive the building temperature to an intermediate temperature at the starting time of the time range that corresponds to the mobile device of the plurality of mobile devices that is expected to arrive first at the building.

19. An HVAC controller configured to operate HVAC equipment within a building, a user of the building having a mobile device with location services, the HVAC controller comprising: a memory for storing at least two targets, one of the at least two targets including a starting time point and an intermediate temperature set point, and another of the at least two targets including an ending time point and a comfort temperature set point;a communications module for receiving the at least two targets from a remote server, the starting time point and the ending time point based at least in part on a probability of an expected return time of the user to the building, wherein the at least two targets received from the remote server are calculated by the remote server based, at least in part, upon a probability function of a next inbound geo-fence crossing for the user and for a particular day of a week and that references, for the particular day of the week, historical inbound geo-fence crossing data for only one or more specific days of the week associated with the particular day of the week, wherein the probability function indicates, for the user and for each time of a time range of the particular day of the week, a probability that the user will cross into the geo-fence;an equipment interface for providing control signals to the HVAC equipment;a controller operably coupled to the memory, the communications module and the equipment interface;the controller configured to operate the HVAC equipment, via the equipment interface, in accordance with at least two targets received via the communications module and stored in the memory; andthe controller further configured to calculate one or more heating or cooling ramps based upon the at least two targets such that the building will attain the intermediate temperature set point at a time corresponding to the starting time point where the starting time point is earlier than an average or mean expected return time, and the building will attain the comfort temperature set point at or before the ending time point.

20. The HVAC controller of claim 19, further comprising a user interface, and wherein the controller is configured to permit the user to select, using the user interface, a balance setting between comfort and energy savings, the selected balance setting being uploaded to the remote server for use in calculating at least one of the at least two targets.