Wireless sensor

Information

  • Patent Grant
  • 8854208
  • Patent Number
    8,854,208
  • Date Filed
    Friday, November 5, 2010
    14 years ago
  • Date Issued
    Tuesday, October 7, 2014
    10 years ago
  • CPC
  • US Classifications
    Field of Search
    • US
    • 340 003100
    • 340 541000
    • 340 013240
    • 340 567000
    • 340 531000
    • 340 539260
    • 340 691300
    • 340 003500
    • 370 438000
    • 455 345000
    • 455 457000
    • 315 149000
    • 239 063000
    • CPC
    • G09G2320/0261
    • G09G2320/106
    • G09G2320/0252
    • G09G2340/16
    • G09G2340/0435
    • G09G2320/103
    • G09G2320/0276
    • G09G2320/0285
    • G09G2360/18
    • G06Q30/00
    • H04N5/145
    • G06F17/30539
    • G06F21/60
    • G06F3/017
    • G06K9/00369
    • G06K9/00771
    • G05B15/02
    • G05B23/02
  • International Classifications
    • G08B1/08
    • G08B13/08
    • G05B15/02
Abstract
Systems and methods for wirelessly detecting area changes are provided. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention generally involves sensors. More specifically, the present invention relates to wireless detection of area changes.


2. Description of Related Art


In recent years, a growing concern over environmental responsibility and viability has prompted various measures to reduce energy consumption and ensuing costs. In commercial and residential settings, one solution is the use of a sensor for detecting certain environmental conditions and initiating a adjustment of an electrical load device (i.e., electricity-consuming device) in response to the detected condition(s). For example, some building installations (e.g., offices) have installed occupancy sensors to detect motion in a given location. An occupancy sensor wired to a lighting fixture, for example, may detect movement or lack of movement in a particular room and cause the lighting fixture to turn on or off in response. Such sensor may initiate such response by communicating with an actuator or switch of the electrical load device.


Issues with such a scheme may include inflexibility and difficulty and expense associated with retrofitting for changing and/or growing installations. For example, a sensor may have to be rewired when electrical load devices are added, removed, or relocated and when user preferences change. Such situations may require rewiring and reconfiguration of sensor settings to reflect the new arrangement and requirements thereof.


Presently available sensors generally operate by transmitting a signal over a wired connection to an actuator (e.g., relay, power pack), which provides for control of an electrical load. Such presently available sensors are not configured for wireless communication. As such, those sensors are limited to certain types of signals, such as those indicating detection of motion, or lack thereof.


Another challenge for such sensors in a conventional lighting control system is that such sensors are usually mounted at an elevated position (e.g., ceiling, wall). As such, the sensor may be remote from various parts of a location. For example, in an office, it may be desirable to determine the light level around a work surface (i.e., desk). Because the sensor is mounted in an elevated position, the sensor may end up measuring reflected light from both the target surface, as well as from the surrounding environment. As such, the sensor reading is inaccurate, thereby possibly resulting in inappropriate responses.


Other issues may include inflexibility to changing requirements of the occupants. For example, an occupant may require different lighting response on weekdays than he/she does on weekends. Sensors that are not sensitive enough may not detect fine movements (e.g., typing at a desk), and sensors that are over-sensitive may detect movement outside a door or window, resulting in responses that inappropriate to the actual situation in an area.


There is therefore a need in the art for improved methods and systems for wireless sensing.


SUMMARY OF THE INVENTION

Embodiments of the present invention include systems and methods for wirelessly detecting area changes. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.


Various embodiments may include methods for wirelessly detecting area changes. Such methods may include storing a plurality of predetermined thresholds associated with time of day, calendar day, and/or activity. Methods may further include detecting a change in an area targeted by the wireless sensor, determining an applicable predetermined threshold, determining that the detected change meets the applicable predetermined threshold, wirelessly transmitting information indicating that the detected change meets the predetermined threshold to an associated controller concerning the change in overall light. The associated controller may then control operation of an electrical load based on the transmitted information. The detected change may occur with respect to light (e.g., red-green-blue light) and/or occupancy.


Some embodiments include an apparatus for wirelessly detecting area changes. Such apparatuses may include a memory for storing one or more predetermined thresholds associated with time of day, calendar day, and/or activity, a sensor cell for detecting a change in a targeted area, and a processor for determining an applicable threshold and determining that the detected change meets the applicable threshold. Such apparatuses may further include a wireless interface for wirelessly transmitting information to an associated controller concerning the change in overall light. The associated controller may then control operation of an electrical load based on the transmitted information. The sensor cell may be either a sensor cell for detecting light (e.g., red-green-blue light) and/or a sensor cell for detecting occupancy (e.g., passive infrared).


Further embodiments may include non-transitory computer-readable storage media having embodied instructions executable by a processor for performing methods for wirelessly detecting area changes.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 illustrates an exemplary network environment in which a system for wirelessly detecting area changes may be implemented.



FIG. 2 is a flowchart illustrating an exemplary method for wirelessly detecting area changes.





DETAILED DESCRIPTION

Embodiments of the present invention provide for wirelessly detecting area changes. Predetermined thresholds may be stored in memory. Each predetermined threshold is associated with a time of day, calendar day, and/or activity. The sensor may detect a change in the in the targeted area. The detected change is evaluated to determine an applicable threshold. Then it may be determined whether the detected change meets a predetermined threshold. If so, information regarding the change is wirelessly transmitted to an associated controller that controls light in the targeted area. The operation of the light may be controlled based on the wirelessly transmitted information.



FIG. 1 illustrates an exemplary network environment 100 in which a system for wirelessly detecting area changes may be implemented. Communicating via a wireless communication network 110, devices in the network environment 100 include wireless sensor 120, computing device 130, and wireless controllers 140A-140B controlling lights 150.


Wireless communication network 110 may be inclusive of any local, proprietary network (e.g., an intranet), as well as any larger wide-area network. The communications network 110 may include a local area network (LAN), for example, which may be communicatively coupled to a wide area network (WAN) such as the Internet. The Internet is a broad network of interconnected computers and servers allowing for the transmission and exchange of Internet Protocol (IP) data between users connected through a network service provider. Examples of network service providers are the public switched telephone network, a cable service provider, a provider of digital subscriber line (DSL) services, or a satellite service provider. In some embodiments, the network environment 100 may be configured to transmit various electromagnetic waves, including, for example, radio signals. Examples of the communication network 110 may include IEEE 802.11 (Wi-Fi or Wireless LAN) networks, IEEE 802.16 (WiMAX) networks, IEEE 802.16c networks, and the like. Wireless Communications network 110 allows for communication between the various components of network environment 100. In some instances, communication network 110 may be a multi-hop network.


One of the devices in environment 100 is a wireless sensor 120 including one or more sensor cells. A wireless sensor may include various types of sensor cells for detecting various conditions, including occupancy (e.g., motion), photosensors, RGB sensors, passive infrared (PIR) sensors, or any combination of the foregoing. PIR sensors may be used, in some installations, to provide more detailed information concerning a targeted area. For example, information from a PIR may be used to establish a baseline with respect to an empty room and an individual. In some instances, such information may be used to determine when there are multiple people present in a room and generate an estimate as to how many people. Such information may also allow for targeted control of other types of facilities systems besides lighting (e.g., HVAC systems).


The inclusion of multiple sensors may also serve reduce power usage, based on intelligent determination as to when to activate each sensor. For example, not all the sensors have to be active at all times. Activation of a photosensor or RGB sensor, for example, may be activated upon detection of motion in a targeted area. Alternatively, a motion sensor may be activated only when it is dark. As such, the energy to power every sensor may not be continuously required. Such energy may be provided by a DC connection, battery, photovoltaic cell, or any combination.


The wireless sensor 120 may therefore be able to accurately measure light in a given targeted area (e.g., a desk or work surface, a room). In particular, such a wireless sensor 120 can independently detect and measure the red, green and blue (RGB) spectrums of light. Further, each wireless sensor 120 can then characterize common patterns of the three spectra to eliminate errors in calculating lighting levels in a given area. For example, a work surface may include different amounts of white paper, which may reflect light differently than the work surface does. As such, a sensor may be prone to error based on the variance in reflected light if no consideration is given to such factors.


Wireless sensor 120 can resolve such issues by storing information in memory regarding light signatures associated with various contexts (e.g., time of day). If there is a detected change in light levels, the wireless sensor 120 may first verify whether the detected change is actually a change in illuminance in the targeted area rather than a change due to, for example, more reflective white paper in the targeted area. In addition, the wireless sensor 120 may also consider whether the detected change in illuminance merits a response by comparing the change to predetermined thresholds. For example, a small change in illuminance may not necessarily require that an additional lamp/light be switched on or off. As such, there may be thresholds set by default, an administrator, or user, regarding what type of lighting change should result in a response. As such, in addition to its sensor cells, wireless sensor 120 may further include a memory and processor to store and make such determinations.


In various embodiments, a wireless sensor 120 can address and account for changes in reflectance vis-à-vis changes in amount of light. If the reflectance in the environment changes, then the light level sensor readings might increase even if the actual illuminance on the work surface does not. A common example may be observed when white papers are spread out on a brown conference table. For open-loop sensors, a similar situation may arise as a result of changes in ground reflectance (e.g., seasonal changes from green grass to brown grass to snow) or reflectances from unintended objects (e.g., windows, metallic window frames, automobiles). In wireless sensor 120, such changes in reflectance can be detected and identified based on measured changes in RGB light. As such, an exemplary wireless sensor 120 can recognize a signature of a color shift as a different condition than a change in work surface illuminance.


An exemplary wireless sensor 120 can also be configured to quantify the amount of artificial light vis-à-vis natural light (i.e., sunlight). Presently available sensors have difficulty accounting for two very different sources of light: natural light and artificial light. The amount of light reaching a sensor intended to measure illuminance at a given work surface may be different based on varying amounts of natural and artificial light. In the case of artificial lighting, error may be introduced based on reflectance from the work surface. With natural light, reflectance may be introduced from surfaces other than the work surface, including from lights interior and exterior to the area (e.g., light from a hallway or window). The light detected by a sensor at the targeted area will not be the same for equivalent amounts of natural light and artificial light. In other words, x lux of natural light is not equivalent to x lux of electric light.


An exemplary wireless sensor 120 addresses the problem by measuring RGB light to identify a color signature for natural light in the targeted area. The color signature may be determined based on several factors specific to the targeted area, including for example, spectral transmission of the glass windows in the area. Using such information, a wireless sensor 120 can calculate a percent of light provided by artificial light sources and a percent of light provided by natural light, as well as further calculate and quantify the contribution of natural and artificial light to illuminance of the targeted area.


In some embodiments, a wireless sensor 120 may perform an automated routine to identify a natural light signature when artificial lights are turned off. Under certain conditions, direct beam sunlight may enter into a targeted area (e.g., through a window). Direct beam sunlight may have a different spatial distribution than natural light under other conditions. To avoid overestimating the contribution of natural light to illuminance, a wireless sensor 120 may specifically characterize the signature of direct beam sunlight, as well as a signature of natural light under different conditions.


Being able to accurately determine illuminance allows for more customized control and concurrent reduction in power usage associated with artificial lights. For example, when the illuminance provided by natural light is sufficient, the artificial lights may be deactivated and only activated when natural light is no longer sufficient. Further, reduction in power usage related to artificial lights may be accomplished either by switching off or dimming.


Another type of condition that may be detected by wireless sensor 120 is occupancy of the targeted area. Such a sensor cell (e.g., passive infrared (PIR)) may operate to detect motion by human occupants having a body temperature different than the ambient temperature in an unoccupied targeted area. For example, an unoccupied room may normally have ambient temperatures ranging between 55 and 65 degrees Fahrenheit during an average spring day. As such, the wireless sensor 120 may recognize or be programmed to recognize that as a signature of an unoccupied room. When an occupant passes in front of the wireless sensor, however, the wireless sensor 120 can detect the higher body temperature of the occupant (e.g., 98 degrees Fahrenheit). As such, the detected presence of such higher temperatures can indicate occupancy of the targeted area. Such wireless sensors 120 may also be prone to error, however, where the purported occupant is merely passing by a window or door rather than entering the targeted area proper (e.g., a room).


Such a wireless sensor 120 can work with sensors intended for both open-loop and closed-loop control algorithms. Open-loop sensors are usually not intended to see the controlled light. For example, an open-loop sensor may be mounted to monitor an outside area because electric light extends to the building perimeter. Typically, this can involve mounting on a ceiling such that the sensor monitors an area outside of a window. In contrast, a closed-loop sensor usually monitors a controlled lighting area.


Some embodiments allow for fine-tuning of the wireless sensor 120 based on various factors, including time of day, calendar day, and/or activity. Sensitivity of the wireless sensor 120 refers to a trigger level (e.g., amount of detected occupants/motion, light) with respect to triggering a response from the sensor (e.g., to turn a lamp on/off). Delay refers to a time delay with respect to sending the response, for example, to an actuator associated with a lamp. A wireless sensor 120 may be programmed to have different sensitivity or delays based on specific circumstances. For example, sensitivity level may be programmed to be higher, for example, so that a worker would be provided with light during working hours. Alternatively, sensitivity of the sensor may be adjusted to be lower on weekends and holidays when workers are less likely to be in an office, so that movement of wind-blown trees outside a window does not trigger lights to turn on.


After a predetermined condition is detected in a targeted area by a sensor included in an exemplary wireless sensor, information concerning the detected condition is sent wirelessly to a controller associated with an electrical load. The controller may then control operation of a device associated with the electrical load based on the information from the wireless sensor. In contrast to many previously available sensors (e.g., that sends only binary data), a wireless sensor 120 can transmit much more information via radio, as well as respond in much more targeted ways. A wireless sensor can adjust time delays and sensitivity based on various situations.


Further, a wireless sensor can adjust sensitivity based on a breakdown on a targeted area. For example, a wireless sensor 120 can be programmed to be less sensitive to an area by the door to avoid turning lights on in response to passers-by, as well as more sensitive around a workspace where movements (i.e., typing) may be smaller. Some embodiments further provided for masking of certain areas. Not only may sensitivity be deadened around a door area, a user may wish to totally mask the door, such that a sensor is “blind” to movements outside the door. For example, a wireless sensor 120 may include a quad element PIR. The quad element PIR works by providing data for two pairs of sensor cells, B and B′, and A and A′ while the dual element only compares one pair of elements. When paired with an appropriate Fresnel lens, sensing could occur on one half of the sphere or primarily on one half of the sphere. As such, the sensitivity of the particular sensor cells may be adjusted based on the portion of the targeted area to which it is directed (e.g., a door opening into a hallway).


Such configuration as to delay, sensitivity, and masking may take place at startup (e.g., commissioning) or remotely through computing device 130. Using computing device 130, an installer, building administrator, or user may be able to adjust such configurations to the requirements of the targeted area. Computing device 130 may comprise any combination of computer hardware and software configured to receive and transmit information over wireless communication network 110, thereby communicating with wireless sensor 120 and controllers 140A-140B. Computing device 130 may be any type of desktop computer, laptop computer, handheld computer, server, etc. configured to communication over wireless communication network 110. If wireless communication network 110 is a multi-hop network, computing device 130 may be able broadcast a message to devices within a specified number of hops in the communications network 110.


The controller (e.g., 140A) may be embedded in a fixture, housed within a ballast, in a separate device, etc. As illustrated in FIG. 1, a controller 140 may be associated with one or more light fixtures. Described in further detail in co-pending U.S. patent application Ser. No. 12/156,621 which has incorporated herein by reference, the controller 140 can controls the operation of the device or devices (i.e., lights) based on various types of signal information, including signal information sent over the communication network 110 from wireless sensor 120 and/or computing device 130. The controller 140 may be associated with one or more fixtures of a facilities system. In the embodiment illustrated in FIG. 1, such fixtures are lights 150. For example, the controller 140A is associated with three lights 150, while controller 140B is associated with one light 150. While the description refers to lights 150, controller 140 may control operation of any kind of electric fixture or appliance.


Where there are multiple controllers 140 controlling different sets of fixtures in a targeted area, the information sent by wireless sensor 120 to each controller may be different. For example, wireless sensor 120 may have a higher sensitivity (e.g., a lower threshold) associated with the portion of the targeted area where the lights 150 controlled by controller 140A are located. In response to a detected change that triggers that threshold (but does not trigger any other thresholds associated with other portions of the targeted area), the lights 150 controlled by controller 140A may be switched on while the lights 150 controlled by controller 140B are not.



FIG. 2 is a flowchart illustrating an exemplary method 200 for wirelessly detecting area changes. In the method 200, a plurality of thresholds are stored in memory, a change is detected in the targeted area, an applicable threshold is determined, and it is determined that the detected change meets the applicable threshold. Information indicating that the detected change meets the applicable threshold is wirelessly transmitted to an associated controller, which controls an electric load based on the transmitted information.


In step 210, various thresholds are stored in memory. Each threshold may relate to a type of condition detectable by wireless sensor 120, as well as at least one factor indicating when the threshold applies. Such factors may include, for example, time of day, calendar day (e.g., weekday or weekend, holiday), or activity. For example, one threshold may indicate that on weekday afternoons, the threshold can be highly sensitive. As such, detecting a lack of natural light may allow for artificial lights to be switched on to compensate. In an office, for example, occupants are still likely to be working and in need of a certain level of light to perform their work. In contrast, on weekends, occupants are unlikely to be in the office. As such, the threshold may be lower so that non-occupant movement (e.g., wind-blown trees outside a window) does not result in wasteful activation of lighting. The thresholds may be set based on default settings or be created/customized based on the particular needs of the facility, building, business, occupant, etc.


In step 220, a change is detected in the targeted area. The variety of sensors that may be deployed, as well as the conditions that are detectable by the same, are described above. In some cases, the wireless sensor 120 may be programmed with a baseline, either upon commissioning or later based on updated circumstances (e.g., by remote computing device 130). Such a baseline may indicate the normal range of conditions in the targeted area. In comparison to such a baseline, some type of change (e.g., light, occupancy, motion) in the targeted area may be detected.


In step 230, an applicable threshold is determined. The factors associated with the stored thresholds may be evaluated to determine which threshold is appropriate to the situation in which the change was detected. For example, a change in RGB light may have been detected on a weekday morning. As such, it is determined which of the stored thresholds are applicable to RGB light changes on weekday mornings.


In step 240, it is determined whether the detected change meets the applicable threshold. It would be inefficient to activate or deactivate fixtures (e.g., lights 150) in response to small changes. A minor decrease in natural light due to a passing cloud, for example, should not affect an office occupant's ability to work. As such, the detected change must be significant enough to merit a response in terms of activating or deactivating electric fixtures. In some circumstances, multiple thresholds may apply. For example, an occupancy sensor may detect a high probability that occupants have entered the targeted area. Meeting the occupancy threshold may further trigger light sensors to activate and determine whether the light level meets a light threshold.


In step 250, information regarding the determination is wirelessly transmitted to an associated controller 140. Specifically, such information may indicate that the detected change meets a certain applicable threshold. In response to such information, the controller 140 (e.g., associated with the portion of the targeted area for which the detected change is relevant) may control the operation of one or lights 150. For example, where the information indicates a significant decrease of light in particular quadrant of a room, the wireless sensor 120 may send such information to a controller 140 controlling lights 150 located in that quadrant.


In step 260, an electric load is controlled based on the wirelessly transmitted information. Referring to the example above, the controller 140 in the particular quadrant may receive such information from the wireless sensor 120. In response, such controller 140 may then switch on lights 150 or increase the brightness of such lights 150 if they were previously dimmed.


In some embodiments, it may be possible to view and generate reports concerning recent commands transmitted from the wireless sensor 120, configuration information, operation information, and times and dates of certain events. Such events may include triggering events (e.g., start and finish) within a period of time, sensor heartbeat messages, percentage of remaining battery life, and ambient temperature at intervals. Dates and times may be correlated with the sensor events. It may also be useful to view reported temperatures to evaluate and adjust settings in response to situations where the wireless sensor 120 did not detect changes (e.g., entering occupants) due to extreme temperatures (e.g., too high or too low) in the targeted area.


The terms “computer-readable storage medium” and “computer-readable storage media” as used herein refer to a medium or media that participates in providing instructions to a CPU for execution. Such media may take many forms including, but not limited to, non-volatile and volatile media. Non-volatile media include, for example, optical or magnetic disks, such as a fixed disk. Volatile media include dynamic memory, such as system RAM. Common forms of computer-readable storage media include, for example, a floppy disk, a flexible disk, a hard disk, magnetic tape, any other magnetic medium, a CD-ROM disk, digital video disk (DVD), any other optical medium, punch cards, paper tape, any other physical medium with patterns of marks or holes, a RAM, a PROM, an EPROM, a FLASHEPROM, any other memory chip or cartridge.


While the present invention has been described in connection with a series of preferred embodiments, these descriptions are not intended to limit the scope of the invention to the particular forms set forth herein. The above description is illustrative and not restrictive. Many variations of the invention will become apparent to those of skill in the art upon review of this disclosure. The scope of the invention should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the appended claims along with their full scope of equivalents. The present descriptions are intended to cover such alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims and otherwise appreciated by one of ordinary skill in the art.

Claims
  • 1. A method of wirelessly detecting area changes, the method comprising: storing a plurality of predetermined thresholds in a memory, the plurality of predetermined thresholds comprising time of day, calendar day, and activity, wherein the activity is related to an estimated number of occupants within an area targeted by a wireless sensor;detecting a change in the area targeted by the wireless sensor;executing instructions stored in the memory, wherein execution of the instructions by a processor: masks a portion of the targeted area by modifying a sensitivity threshold associated with the portion of the targeted area, wherein the masked portion of the targeted area is associated with a different sensitivity level than an unmasked portion of the targeted area;determines at least two applicable thresholds out of the plurality of predetermined thresholds stored in the memory, wherein one of the at least two applicable thresholds includes the activity; anddetermines that the detected change meets the at least two applicable thresholds;wirelessly transmitting information indicating that the detected change meets the at least two thresholds to an associated controller, wherein the associated controller controls power usage of a device associated with the unmasked portion of the area targeted by the wireless sensor, based on the transmitted information; anddetecting a change in levels of red-green-blue light in the targeted area, wherein the determination that the detected change meets the two applicable thresholds out of the plurality of predetermined thresholds include: verifying that the detected change in the levels of red-green-blue light is associated with a change in illuminance; anddetermining that the change in illuminance meets the two applicable thresholds.
  • 2. The method of claim 1, wherein the detected change further includes a change in occupancy of the unmasked portion of the targeted area as detected by passive infrared sensor cell.
  • 3. The method of claim 2, wherein the control of the power usage results in a reduced lighting level for a predetermined time period and further comprising: determining whether the unmasked portion of the targeted area is occupied during the predetermined time period, wherein the duration of the predetermined time period is increased or decreased based on specified conditions; andtransmitting the determination whether the unmasked portion of the targeted area is occupied during the predetermined time period to the associated controller.
  • 4. The method of claim 2, wherein the wirelessly transmitted information further includes a probability of occupancy and wherein the probability of occupancy is evaluated to determine a priority for shedding in a demand response situation.
  • 5. The method of claim 2, wherein the detected change in occupancy further includes a change from no occupants to one or more occupants and wherein wirelessly transmitting the information results in one or more lights being switched on.
  • 6. The method of claim 2, wherein the detected change in occupancy further includes a change from one or more occupants to no occupants and wherein wirelessly transmitting the information results in one or more lights being switched off.
  • 7. An apparatus for wirelessly detecting area changes, the apparatus comprising: a memory configured to store one or more predetermined thresholds stored in the memory, the predetermined thresholds comprising time of day, calendar day, and activity, wherein the activity is related to an estimated number of occupants within an area targeted by a wireless sensor;a sensor cell configured to detect a change in a targeted area;a processor configured to execute instructions stored in the memory to: mask a portion of the targeted area by modifying a sensitivity threshold associated with the portion of the targeted area, wherein the masked portion of the targeted area is associated with a different sensitivity level than an unmasked portion of the targeted area;determine at least two applicable thresholds out of the plurality of predetermined thresholds stored in the memory based on the detected change, wherein one of the at least two applicable thresholds includes the activity; and determine that the detected change meets the at least two applicable thresholds; andan interface configured to wirelessly transmit information indicating that the detected change meets the at least two applicable thresholds to an associated controller concerning the change in overall power usage of a light for the unmasked portion of the targeted area by the wireless sensor, wherein the associated controller controls power usage of the light, based on the transmitted information; and detect a change in levels of red-green-blue light in the targeted area,wherein the determination that the detected change meets a predetermined threshold includes: verifying that the detected change in the levels of red-green-blue light is associated with a change in illuminance, and determining that the change in illuminance meets the at least two applicable thresholds.
  • 8. The apparatus of claim 7, wherein the sensor cell includes a passive infrared sensor for further detecting a change in occupancy of the targeted area.
  • 9. The apparatus of claim 8, further comprising a timekeeper, wherein the control of the power usage results in a reduced lighting level for a predetermined time period indicated by the timekeeper and wherein the sensor cell is further configured to: determine whether the targeted area is occupied during the predetermined time period; andtransmit the determination to the associated controller.
  • 10. The apparatus of claim 9, wherein the duration of the predetermined time period is automatically increased or decreased based on preset conditions.
  • 11. The apparatus of claim 7, further comprising one or more additional sensor cells, wherein each sensor cell is associated with a sensitivity threshold and a portion of the unmasked portion of the targeted area.
  • 12. The apparatus of claim 7, wherein the wirelessly transmitted information includes a probability of occupancy and wherein the probability of occupancy is evaluated to determine a priority for shedding in a demand response situation.
  • 13. A non-transitory computer-readable storage medium, having embodied thereon a program, the program being executable by a processor to perform a method for wirelessly detecting area changes, the method comprising: storing a plurality of predetermined thresholds, the predetermined thresholds comprising of time of day, calendar day, and activity, wherein the activity is related to an estimated number of occupants within an area targeted by a wireless sensor;masking a portion of the targeted area by modifying a sensitivity threshold associated with the portion of the targeted area, wherein the masked portion of the targeted area is associated with a different sensitivity level than an unmasked portion of the targeted area;detecting a change in the area targeted by the wireless sensor;determining at least two applicable thresholds out of the plurality of predetermined thresholds based on the detected change, wherein one of the at least two applicable thresholds includes the activity;determining that the detected change meets the at least two applicable thresholds;wirelessly transmitting information indicating that the detected change meets the at least two thresholds to an associated controller concerning the change in an overall power usage of a light for the unmasked portion of the targeted area by the wireless sensor, wherein the associated controller controls the power usage based on the transmitted information; anddetecting a change in levels of red-green-blue light in the unmasked portion of the targeted area that meets the at least two applicable thresholds includes: verifying that the detected change in the levels of red-green-blue light is associated with a change in illuminance; anddetermining that the change in illuminance meets the at least two applicable thresholds.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the priority benefit of U.S. provisional application No. 61/258,845 filed Nov. 6, 2009 and U.S. provisional application No. 61/258,841 filed Nov. 6, 2009, the disclosures of which are incorporated herein by reference. This application is also related to U.S. patent application Ser. No. 12/156,621 filed Jun. 2, 2008, now U.S. Pat. No. 8,364,325, U.S. patent application Ser. No. 12/380,727 filed Mar. 2, 2009, now U.S. Pat. No. 7,839,017, U.S. patent application Ser. No. 12/613,970 filed Nov. 6, 2009, and U.S. patent application Ser. No. 12/912,717 filed Oct. 26, 2010, now U.S. Pat. No. 8,275,471, the disclosures of which are also incorporated herein by reference.

US Referenced Citations (227)
Number Name Date Kind
3733528 Gilbreath May 1973 A
3735141 Beling May 1973 A
4242614 Vatis et al. Dec 1980 A
4323820 Teich Apr 1982 A
4347461 Carlson Aug 1982 A
4355309 Hughey et al. Oct 1982 A
4358717 Elliott Nov 1982 A
4388567 Yamazaki et al. Jun 1983 A
4454509 Buennagel et al. Jun 1984 A
4686380 Angott Aug 1987 A
4797599 Ference et al. Jan 1989 A
4889999 Rowen Dec 1989 A
5005211 Yuhasz Apr 1991 A
5146153 Luchaco et al. Sep 1992 A
5237264 Moeley et al. Aug 1993 A
5248919 Hanna et al. Sep 1993 A
5268631 Gorman et al. Dec 1993 A
5357170 Luchaco et al. Oct 1994 A
5373453 Bae Dec 1994 A
5471063 Hayes et al. Nov 1995 A
5561351 Vrionis et al. Oct 1996 A
5572438 Ehlers et al. Nov 1996 A
5637930 Rowen et al. Jun 1997 A
5770926 Choi et al. Jun 1998 A
5818128 Hoffman et al. Oct 1998 A
5822012 Jeon et al. Oct 1998 A
5872429 Xia et al. Feb 1999 A
5905442 Mosebrook et al. May 1999 A
5909087 Bryde et al. Jun 1999 A
5927603 McNabb Jul 1999 A
5962989 Baker Oct 1999 A
5982103 Mosebrook et al. Nov 1999 A
6025783 Steffens, Jr. Feb 2000 A
6044062 Brownrigg et al. Mar 2000 A
6100653 Lovell et al. Aug 2000 A
6108614 Lincoln et al. Aug 2000 A
6148306 Seidl et al. Nov 2000 A
6169377 Bryde et al. Jan 2001 B1
6175860 Gaucher Jan 2001 B1
6184622 Lovell et al. Feb 2001 B1
6249516 Brownrigg et al. Jun 2001 B1
6252358 Xydis et al. Jun 2001 B1
6297724 Bryans et al. Oct 2001 B1
6300727 Bryde et al. Oct 2001 B1
6301674 Saito et al. Oct 2001 B1
6311105 Budike Oct 2001 B1
6388399 Eckel et al. May 2002 B1
6400280 Osakabe Jun 2002 B1
6504266 Ervin Jan 2003 B1
6510369 Lacy Jan 2003 B1
6535859 Yablonowski Mar 2003 B1
6548967 Dowling et al. Apr 2003 B1
6633823 Bartone et al. Oct 2003 B2
6640142 Wong et al. Oct 2003 B1
6676831 Wolfe Jan 2004 B2
6689050 Beutter et al. Feb 2004 B1
6700334 Weng Mar 2004 B2
6775588 Peck Aug 2004 B1
6803728 Balasubramaniam Oct 2004 B2
6891838 Petite et al. May 2005 B1
6904385 Budike, Jr. Jun 2005 B1
6914395 Yamauchi et al. Jul 2005 B2
6914893 Petite Jul 2005 B2
6927546 Adamson et al. Aug 2005 B2
6990394 Pasternak Jan 2006 B2
7006768 Franklin Feb 2006 B1
7039532 Hunter May 2006 B2
7042170 Vakil et al. May 2006 B2
7045968 Bierman et al. May 2006 B1
7054271 Brownrigg et al. May 2006 B2
7079808 Striemer Jul 2006 B2
7103511 Petite Sep 2006 B2
7167777 Budike, Jr. Jan 2007 B2
7199530 Vakil et al. Apr 2007 B2
7202613 Morgan et al. Apr 2007 B2
7221110 Sears et al. May 2007 B2
7233080 Garnault et al. Jun 2007 B2
7263073 Petite et al. Aug 2007 B2
7274975 Miller Sep 2007 B2
7307389 Vakil et al. Dec 2007 B2
7307542 Chandler et al. Dec 2007 B1
7333880 Brewster et al. Feb 2008 B2
7339466 Mansfield et al. Mar 2008 B2
7346433 Budike Mar 2008 B2
7349766 Rodgers Mar 2008 B2
7352972 Franklin Apr 2008 B2
7354175 Culbert et al. Apr 2008 B2
7356308 Hamada et al. Apr 2008 B2
7369060 Veskovic et al. May 2008 B2
7400226 Barrieau et al. Jul 2008 B2
7417556 Ling Aug 2008 B2
7432803 Fails et al. Oct 2008 B2
7446671 Giannopoulos et al. Nov 2008 B2
7490957 Leong et al. Feb 2009 B2
7491111 Ghaly Feb 2009 B2
7528503 Rognli et al. May 2009 B2
7550931 Lys et al. Jun 2009 B2
7561977 Horst et al. Jul 2009 B2
7565227 Richard et al. Jul 2009 B2
7571063 Howell et al. Aug 2009 B2
7599764 Matsuura et al. Oct 2009 B2
7606639 Miyaji Oct 2009 B2
7623042 Huizenga Nov 2009 B2
7650425 Davis et al. Jan 2010 B2
7659674 Mueller et al. Feb 2010 B2
7677753 Wills Mar 2010 B1
7697927 Owens Apr 2010 B1
7706928 Howell et al. Apr 2010 B1
7719440 Delp et al. May 2010 B2
7755505 Johnson et al. Jul 2010 B2
7760068 Hatemata et al. Jul 2010 B2
7783188 Clark Aug 2010 B2
7812543 Budike, Jr. Oct 2010 B2
7839017 Huizenga et al. Nov 2010 B2
7843353 Pan et al. Nov 2010 B2
7860495 McFarland Dec 2010 B2
7880394 Sibalich et al. Feb 2011 B2
7884732 Huizenga Feb 2011 B2
7889051 Billig et al. Feb 2011 B1
7902759 Newman, Jr. Mar 2011 B2
7925384 Huizenga Apr 2011 B2
8033686 Recker et al. Oct 2011 B2
8214061 Westrick, Jr. et al. Jul 2012 B2
8275471 Huizenga et al. Sep 2012 B2
8344665 Verfuerth et al. Jan 2013 B2
8364325 Huizenga et al. Jan 2013 B2
8588830 Myer et al. Nov 2013 B2
8755915 Huizenga et al. Jun 2014 B2
20010015409 Mahler et al. Aug 2001 A1
20010025349 Sharood et al. Sep 2001 A1
20020009978 Dukach et al. Jan 2002 A1
20020043938 Lys Apr 2002 A1
20030020595 Wacyk Jan 2003 A1
20030209999 Hui et al. Nov 2003 A1
20040002792 Hoffknecht Jan 2004 A1
20040051467 Balasubramaniam Mar 2004 A1
20040100394 Hitt May 2004 A1
20040153207 Peck Aug 2004 A1
20050043862 Brickfield et al. Feb 2005 A1
20050090915 Geiwitz Apr 2005 A1
20050234600 Boucher et al. Oct 2005 A1
20060044152 Wang Mar 2006 A1
20060142900 Rothman et al. Jun 2006 A1
20060161270 Luskin et al. Jul 2006 A1
20060215345 Huizenga Sep 2006 A1
20060244624 Wang et al. Nov 2006 A1
20060291136 Okishima Dec 2006 A1
20070005195 Pasquale et al. Jan 2007 A1
20070085700 Walters et al. Apr 2007 A1
20070090960 Miki Apr 2007 A1
20070229250 Recker et al. Oct 2007 A1
20070271006 Golden et al. Nov 2007 A1
20070273307 Westrick et al. Nov 2007 A1
20070276547 Miller Nov 2007 A1
20070291483 Lys Dec 2007 A1
20080071391 Busby et al. Mar 2008 A1
20080133065 Cannon et al. Jun 2008 A1
20080167756 Golden et al. Jul 2008 A1
20080242314 McFarland Oct 2008 A1
20080258633 Voysey Oct 2008 A1
20080281473 Pitt Nov 2008 A1
20090018706 Wittner Jan 2009 A1
20090026966 Budde et al. Jan 2009 A1
20090045941 Cooper Feb 2009 A1
20090048691 Donaldson Feb 2009 A1
20090055032 Rodgers Feb 2009 A1
20090058193 Reid et al. Mar 2009 A1
20090063257 Zak et al. Mar 2009 A1
20090066473 Simons Mar 2009 A1
20090072945 Pan et al. Mar 2009 A1
20090132070 Ebrom et al. May 2009 A1
20090198384 Ahn Aug 2009 A1
20090218951 Weaver Sep 2009 A1
20090240381 Lane Sep 2009 A1
20090243517 Verfuerth et al. Oct 2009 A1
20090248217 Verfuerth et al. Oct 2009 A1
20090261735 Sibalich et al. Oct 2009 A1
20090262189 Marman Oct 2009 A1
20090267540 Chemel et al. Oct 2009 A1
20090278472 Mills et al. Nov 2009 A1
20090278934 Ecker et al. Nov 2009 A1
20090292402 Cruickshank Nov 2009 A1
20090292403 Howell et al. Nov 2009 A1
20090299527 Huizenga et al. Dec 2009 A1
20100039240 Rodriguez et al. Feb 2010 A1
20100052939 Liang Mar 2010 A1
20100066267 Meyer Mar 2010 A1
20100114340 Huizenga et al. May 2010 A1
20100134019 Berhorst Jun 2010 A1
20100134051 Huizenga et al. Jun 2010 A1
20100141153 Recker et al. Jun 2010 A1
20100164386 You Jul 2010 A1
20100179670 Forbes, Jr. et al. Jul 2010 A1
20100185339 Huizenga et al. Jul 2010 A1
20100191388 Huizenga et al. Jul 2010 A1
20100201203 Schatz et al. Aug 2010 A1
20100204847 Leete, III et al. Aug 2010 A1
20100207548 Lott Aug 2010 A1
20100237783 Dupre et al. Sep 2010 A1
20100262296 Davis et al. Oct 2010 A1
20100265100 Jalbout et al. Oct 2010 A1
20100327766 Recker et al. Dec 2010 A1
20110006877 Franklin Jan 2011 A1
20110012541 Finch Jan 2011 A1
20110043052 Huizenga et al. Feb 2011 A1
20110101871 Schenk et al. May 2011 A1
20110112702 Huizenga et al. May 2011 A1
20110121654 Recker et al. May 2011 A1
20110133655 Recker et al. Jun 2011 A1
20110175533 Holman et al. Jul 2011 A1
20120001548 Recker et al. Jan 2012 A1
20120020060 Myer et al. Jan 2012 A1
20120026726 Recker et al. Feb 2012 A1
20120043889 Recker et al. Feb 2012 A1
20120074843 Recker et al. Mar 2012 A1
20120080944 Recker et al. Apr 2012 A1
20120098432 Recker et al. Apr 2012 A1
20120098439 Recker et al. Apr 2012 A1
20120143383 Cooperrider et al. Jun 2012 A1
20120330476 Huizenga et al. Dec 2012 A1
20130033183 Verfuerth et al. Feb 2013 A1
20130103201 Huizenga et al. Apr 2013 A1
20130113291 Recker et al. May 2013 A1
20130131882 Verfuerth et al. May 2013 A1
20130147366 Huizenga et al. Jun 2013 A1
20130193847 Recker et al. Aug 2013 A1
20130285558 Recker et al. Oct 2013 A1
Non-Patent Literature Citations (13)
Entry
Adams, J.T., “Wireless Sensors and Controls Make the Organic Building,” May 2006, Proceedings of the 2006 IEEE Intl. Symposium on Electronics and the Environment, pp. 109-113.
Canovas, S. R., Chermont, M.G., and Cugnasaca, C.E., “Remote Monitoring and Actuation Based on LonWorks Technology,” Jul. 2005, 2005 EFITA/WCCA Joint Congress on IT in Agriculture.
Gislason, D. and Gillman, T. “ZigBee Wireless Sensor Networks,” Nov. 2004, Dr. Dobbs online journal, www.ddj.com/184405887.
Gutierrez, J.A., “On the Use of IEEE Std. 802, 15.4 to enable Wireless Sensor Networks in Building Automation,” Dec. 2007, Int'l. Journal of Wireless Information Network, vol. 14, No. 4.
Kintner-Meyer, M. “Opportunities of Wireless Sensors and Controls for Building Operations,” Aug.-Sep. 2005, Energy Engineering, vol. 102, No. 5, pp. 27-48.
Montegi, N., Piette, M., Kinney, S., and Herter, K., “Web-Based Energy Information Systems for Energy Management and Demand Response in Commercial Buildings,” Apr. 2003, Lawrence Berkeley National Laboratory.
Park, H., Burke, J., and Srivastava, M., “Design and Implementation of a Wireless Sensor Network for Intelligent Light Control,” Apr. 2007, IPSN 07.
Sandhu, J.S.S., Agogino, A.M., “Wireless Sensor Networks for Commercial Lighting Control: Decision Making with Multi-Agent Systems,” Jul. 2004, Workshop on Sensor Networks.
Sandhu, J.S., Agogino, A.M., and Agogino, A.K., “Wireless Sensor Networks for Commercial Lighting Control: Decision Making with Multi-Agent Systems,” 2004, American Association for Artificial Intelligence.
Sekinger, J., “Wireless Lighting Control Technology,” Oct. 2005, Phillips NAESCO Midwest Regional Mtgs.
Singhvi, V., Krause, A., Guestrin, C., Garrett, J.H., Matthews, H.S. “Intelligent Light Control Usine Sensor Networks,” Nov. 2005, SenSys 2005.
Teasdale, D., Rubinstein, F., Watson, D., and Purdy, S., “Annual Technical Progress Report: Adapting Wireless Technology to Lighting Control and Environmental Sensing,” Oct. 2005, Dust Networks, Annual Technical Progress Report.
Wang, D., Arens, E., and Federspiel, C., “Opportunities to same energy and improve comfort by using wireless sensor networks in buildings,” Oct. 2003, Proceedings of the third intl Conference for Enhanced Building Operations.
Related Publications (1)
Number Date Country
20110109424 A1 May 2011 US
Provisional Applications (2)
Number Date Country
61258845 Nov 2009 US
61258841 Nov 2009 US