2904results about "Control inputs involving users/components" patented technology

An HVAC system comprises a programmable wireless thermostat and a remote receiver unit. The thermostat includes a user interface having one or more displays, user input devices, such as buttons, sliders, or a touch screen, and a backlight. The thermostat may include a proximity sensor, wherein the user interface is controlled based on a user's presence near the thermostat. A thermostat controller enters into a reduced energy consumption mode and switches the user interface to an idle state when the proximity sensor indicates a lack of user proximity for a predetermined duration. When the proximity sensor indicates user proximity, the controller exits the reduced energy consumption mode and switches the user interface to an active state. During the reduced energy consumption mode, the user interface may be concealed when the user interface is in a housing which is transparent when backlit but is opaque otherwise.

A monitoring system comprises a module having at least one sensor which could be an electric-field sensor within a housing. The device may be durable or disposable. A receiver may be provided to obtain and display data from the module. The module may also display the output data. The output data comprises both detected and derived data relating to physiological and contextual parameters of the wearer and may be transmitted directly to a local recipient or remotely over a communications network. The system is capable of deriving and predicting the occurrence of a number of physiological and conditional states and events and reporting the same as output data.

A thermostat may be placed in a heating mode when the sensed temperature is less than the lowest of the heating and cooling target temperatures by a first amount and may be placed in a cooling mode when the sensed temperature is greater than the highest of the heating and cooling target temperatures by a second amount. The presence or absence of a user may be monitored. If the thermostat is in a user absent mode, a cool setback amount may be added to the cooling target temperature and a heat setback amount may be subtracted from the heating target temperature to arrive at setback cooling and setback heating target temperatures, respectively. The thermostat may comprise a touch-sensitive screen having various display areas.

The present invention relates generally to a building automation system, and, more particularly, to an Internet-centric, open, extensible software and hardware framework supporting all aspects of control and monitoring of a smart building ecosphere. The present invention further relates to an “intelligent,” real-time control system capable of both autonomous process control and interaction with system users and system administrators, which is configured to accommodate functional extensions and a broad array of sensors and control devices. The system allows individuals to communicate, monitor and adjust their personal environmental preferences (temperature, light, humidity, white noise, etc.) much like they would in an automobile, via the Internet. The system is equipped with an occupancy sensor that recognizes the presence and identity of the individual. A built-in expert system can make decisions based on data from multiple sources so that the system can alter its activity to conserve energy while maintaining users' comfort.

A system and method for calibrating a set-point for climate control includes a sensor network having a plurality of sensors configured to report a climate condition. A database is configured to receive reports from the sensors and generate one or more profiles reflecting at least one of historic climate control information and occupant preferences. A controller is configured to receive information from the profiles to generate a set-point based upon an optimization program. The optimization program is implemented to balance competing goals to generate the set-point for controlling climate control equipment in accordance with the set-point.

A method for controlling energy consumption within a building includes providing at least one environment sensing device and at least one energy consumption sensing device associated with the building. Current data is collected from the environment sensing device and the energy consumption sensing device along with associated time-of-day data. A value of a future energy consumption parameter is predicted based upon the collected current data, the associated time-of-day data, and historic data collected from the environment sensing device and the energy consumption sensing device. A profile of future costs per unit of energy consumption as a function of time is determined. Energy consumption is controlled dependent upon the predicted future energy consumption parameter value and the determined profile of energy consumption costs.

Thermostatic HVAC and other energy management controls that are connected to a computer network. For instance, remotely managed load switches incorporating thermostatic controllers inform an energy management system, to provide enhanced efficiency, and to verify demand response with plug-in air conditioners and heaters. At least one load control device at a first location comprises a temperature sensor and a microprocessor. The load control device is configured to connect or disconnect electrical power to the an attached air conditioner or heater, and the microprocessor is configured to communicate over a network. In addition, the load control device is physically separate from an air conditioner or heater but located inside the space conditioned by the air conditioner or heater.

A monitoring system comprises a module having at least one sensor to determine human status information. The device may be durable or disposable. A receiver may be provided to obtain and display data from the device. The device may also display the output data. The output data comprises both detected and derived data relating to physiological and contextual parameters of the wearer and may be transmitted directly to a local recipient or remotely over a communications network. The system is capable of deriving and predicting the occurrence of a number of physiological and conditional states and events and reporting the same as output data.

The present invention relates generally to a building automation system, and, more particularly, to an Internet-centric, open, extensible software and hardware framework supporting all aspects of control and monitoring of a smart building ecosphere. The present invention further relates to an “intelligent,” real-time control system capable of both autonomous process control and interaction with system users and system administrators, which is configured to accommodate functional extensions and a broad array of sensors and control devices. The system allows individuals to communicate, monitor and adjust their personal environmental preferences (temperature, light, humidity, white noise, etc.) much like they would in an automobile, via the Internet. The system is equipped with an occupancy sensor that recognizes the presence and identity of the individual. A built-in expert system can make decisions based on data from multiple sources so that the system can alter its activity to conserve energy while maintaining users' comfort.

A control system for managing a heating, ventilating and air conditioning (HVAC) system based on occupancy of an area is provided. The occupancy may be determined by anticipated programming based on time of day zoning, and / or by actual sensed occupancy. In the later, the control system includes an occupancy sensor that communicates with a programmable thermostat. The occupancy sensor is disposed in the area and senses a state of occupancy of the area. The programmable thermostat instructs the HVAC system to adjust the temperature of the area within the structure based on the state of occupancy of that particular area to enhance occupant comfort and energy efficiency. The thermostat may also include programming modes or scripts that may be run to adjust operational control when abnormal occupancy conditions are sensed. Controllable dampers may also be used by the thermostat to achieve micro zoning control of the HVAC system.

A thermostat system according to the invention includes: a central control device (typically a programmable thermostat with a processor having: a CPU, real time clock and a memory for storing a control program and data information), multiple rooms comprising a conditioned space, environmental control equipment, and multiple environmental sensors capable of sensing an environmental condition (such as temperature, humidity, or other condition). The sensors are associated with transmission means, which control transmission of sensor signals, and occupancy sensors. Each sensor measures a local environmental condition. Occupancy sensors comprise infrared or other motion sensors, light detection sensors, door opening sensors, and other such sensors that detect the presence of humans in a room of the conditioned space where its associated sensor is located. Space conditioning equipment is activated by comparison of a setpoint to a control value averaged from values of environmental conditions in occupied rooms.

Embodiments of the invention comprise systems and methods for using the geographic location of networked consumer electronics devices as indications of occupancy of a structure for purposes of automatically adjusting the temperature setpoint on a thermostatic HVAC control. At least one thermostat is located inside a structure and is used to control an HVAC system in the structure. At least one mobile electronic device is used to indicate the state of occupancy of the structure. The state of occupancy is used to alter the setpoint on the thermostatic HVAC control to reduce unneeded conditioning of unoccupied spaces.

An energy saving control for appliances via an intelligent thermostat is provided. This intelligent thermostat provides programmatic control over the HVAC system, and provides coordinated control over the appliances. This control over the appliances is accomplished via a communications network between the intelligent thermostat and the appliances. The appliances include occupancy sensors and transmit usage and occupancy information to the intelligent thermostat. The intelligent thermostat processes this information to determine the occupancy of the dwelling. The thermostat controls the HVAC system and the appliances according to the determined occupancy of the dwelling.

A home control system using galvanic skin responses and heart rate information and a method thereof. Whether a user is awake is judged using a galvanic skin response sensor, and the extent of stress of a user is determined using the user's heart rate, thereby extracting a user's emotional state and sleeping state. Furthermore, based on these, various systems in the home network of a user are controlled according to the user's emotional state and sleeping state. In addition, those control results are stored in a database so as to create the optimum control conditions.

A thermostat may be placed in a heating mode when the sensed temperature is less than the lowest of the heating and cooling target temperatures by a first amount and may be placed in a cooling mode when the sensed temperature is greater than the highest of the heating and cooling target temperatures by a second amount. The presence or absence of a user may be monitored. If the thermostat is in a user absent mode, a cool setback amount may be added to the cooling target temperature and a heat setback amount may be subtracted from the heating target temperature to arrive at setback cooling and setback heating target temperatures, respectively. The thermostat may comprise a touch-sensitive screen having various display areas.

A zone thermostat for use in connection with an Electronically-Controlled Register vent (ECRV) that can be easily installed by a homeowner or general handyman is disclosed. The ECRV can be used to convert a non-zoned HVAC system into a zoned system. The ECRV can also be used in connection with a conventional zoned HVAC system to provide additional control and additional zones not provided by the conventional zoned HVAC system. In one embodiment, the ECRV is configured have a size and form-factor that conforms to a standard manually-controlled register vent. In one embodiment, the zone thermostat is configured to provide thermostat information to the ECRV. In one embodiment, the zone thermostat communicates with a central monitoring system that coordinates operation of the heating and cooling zones.

An environment control system for controlling the temperature in a room, the system comprises a heating and cooling system; a thermostat for monitoring the temperature within a room and controlling the heating and cooling system; a motion sensor for detecting whether a door or window to the room has been opened; a presence detector for detecting whether the room is currently occupied; and a control system in communication with the thermostat, the motion sensor, and the presence detector, the control system being configured to control the room's temperature via the thermostat based at least in part on signals received from the thermostat, the motion detector and the presence detector, the control system being configured to cause the heating and cooling system to operate in a power savings mode when the room is unoccupied based on a series of time cycles during which the heating and cooling system is turned on or off as dictated by a plurality of temperature thresholds.

An HVAC control system is described comprising: a server (32) having planned information, a man-machine interface (50) capable of communication with the server (32) to provide dynamic information about building occupancy based on a change in cold water in a mains riser. A central control unit (28) which can communicate with the server (32), and a room node (22, 24) for providing information about conditions within the room whereby, the information about room conditions is compared to planned information and / or dynamic information and adjustments made accordingly. The room node (22, 24) may comprise sensors (276, 278, 272, 274) which provide information about conditions in the room. Dynamic information can include changes to planned occupancy, the effect of solar heating and weather conditions. Changes to planned occupancy can be established through detecting location (internally or externally) or destination of a user; and calculating estimated time of arrival of a user.

A system for monitoring air quality conditions, comprising, a multi-point air monitoring system comprising, a plurality of sensors for collecting air quality data from a plurality of at least partially enclosed areas; one or more data processing units for processing one or more air quality parameters based on the collected air quality data; and one or more communication devices for communicating the data from the sensor to the processing unit; and a signal processing controller that generates one or more blended air quality parameter signals via the multi-point air monitoring system based at least in part on one or more of the processed air quality parameters representative of data from a plurality of the sensors.

A thermostat system with a thermostat control program is disclosed for controlling a Heating Ventilation and / or Air Conditioning (HVAC) system which incorporates a mechanism for detecting activity or occupancy in a room, area or conditioned space served by the HVAC system. The thermostat control program analyzes levels, counts or other aspects of activity detected in the conditioned space, with an operating sequence which may include pattern recognition techniques. The operating sequence of the thermostat control program may further depend upon time of day, and upon periods of time identified as being periods for special handling of occupancy, or the recognition of occupancy. These factors may then be utilized by the thermostat control program to influence determination of the temperature setpoint, or to select from alternative programming provided either by the user of the thermostat, or by factory programming, with purpose of balancing energy savings and comfort.

Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat acquires various information about the residence, such as a thermal retention characteristic of the residence, a capacity of an HVAC associated with the residence to cool or heat the residence, a likelihood of the residence being occupied, a forecasted weather, a real-time weather, and a real-time occupancy. Such information is used to manage the energy consumption of the structure during a demand-response event.

A method for controlling temperature in a thermal zone within a building, comprising: using a processor, receiving a desired temperature range for the thermal zone; determining a forecast ambient temperature value for an external surface of the building proximate the thermal zone; using a predictive model for the building, determining set points for a heating, ventilating, and air conditioning (“HVAC”) system associated with the thermal zone that minimize energy use by the building; the desired temperature range and the forecast ambient temperature value being inputs to the predictive model; the predictive model being trained using respective historical measured value data for at least one of the inputs; and, controlling the HVAC system with the set points to maintain an actual temperature value of the thermal zone within the desired temperature range for the thermal zone.

An arrangement includes a plurality of wireless microsystems. Each microsystem is operable to measure at least relative humidity and temperature, and to communicate temperature and relative humidity information wirelessly to a network device. The network device is operable to communicate the temperature and relative humidity information to at least a first processor configured to cause a change in a building control condition based on the information.

The current application is directed to an intelligent-thermostat-controlled environmental-conditioning system in which computational tasks and subcomponents with associated intelligent-thermostat functionalities are distributed to one or more of concealed and visible portions of one or more intelligent thermostats and, in certain implementations, to one or more intermediate boxes. The intelligent thermostats are interconnected to intermediate boxes by wired and / or wireless interfaces and intelligent thermostats intercommunicate with one another by wireless communications. Wireless communications include communications through a local router and an ISP, 3G and 4G wireless communications through a mobile service provider. Components of the intelligent-thermostat-controlled thermostat-controlled environmental-conditioning system may also be connected by wireless communications to remote computing facilities.

A thermostat is configured for automated compatibility with HVAC systems that are either single-HVAC-transformer systems or dual-HVAC-transformer systems. The compatibility is automated in that a manual jumper installation is not required for adaptation to either single-HVAC-transformer systems or dual-HVAC-transformer systems. The thermostat has a plurality of HVAC wire connectors including a first call relay wire connector, a first power return wire connector, a second call relay wire connector, and a second power return wire connector. The thermostat is configured such that if the first and second external wires have been inserted into the first and second power return wire connectors, respectively, then the first and second power return wire connectors are electrically isolated from each other. Otherwise, the first and second power return wire connectors are electrically shorted together.

A system for automatic setup and control of Lighting, Heating Ventilation and Air Conditioning systems comprising a set of occupancy detectors and at least one controller where the controller determines various aspects of the building control based on the input of the occupancy detectors.

A method and apparatus for selecting an operating level of an HVAC system uses historic and predicted drive durations to ensure that drive periods fall within the recommended minimum and maximum drive times, thereby increasing efficiency and reducing strain on the system. The method comprises the steps of: receiving a minimum and a maximum drive time of the HVAC system; determining a current temperature of a room; estimating, based on a prior drive operation of the HVAC system, a time to drive the current temperature to a predefined desired temperature; and selecting an operating level of the HVAC system based on a relationship of the calculated drive time to the minimum drive time and the maximum drive time. Selecting the operating level comprises at least one of: selecting a fan speed; activating a compressor; activating an auxiliary or emergency heating element; or activating an auxiliary or emergency cooling element.

Methods, systems and computer program products are provided for controlling a climate in a building. Sensed data is received at a local processor in the building. The sensed data is associated with the climate in the building, weather outside the building and / or occupants of the building. The received sensed data is compared at the local processor with corresponding predictive data associated with the climate in the building, weather outside the building and / or occupants of the building. One or more parameters associated with the climate of the building is adjusted at the local processor based on a result of the comparison of the received sensed data and the predictive data.

An energy saving control for appliances via an intelligent thermostat is provided. This intelligent thermostat provides programmatic control over the HVAC system, and provides coordinated control over the appliances. This control over the appliances is accomplished via a communications network between the intelligent thermostat and the appliances. The appliances include occupancy sensors and transmit usage and occupancy information to the intelligent thermostat. The intelligent thermostat processes this information to determine the occupancy of the dwelling. The thermostat controls the HVAC system and the appliances according to the determined occupancy of the dwelling.

A comfort control system for controlling the comfort level in a building includes a comfort control unit and a remote control unit. The remote control unit communicates with the comfort control unit from a remote location. In one illustrative embodiment, the remote control unit includes a temperature sensor for sensing an ambient air temperature near the remote control unit, and a measure related to the sensed temperature may be communicated to the comfort control unit. A detection block may be included in the remote control unit for detecting when the ambient air temperature sensed by the temperature sensor in the remote control unit is likely to be influenced by a user or other undesirable condition. The comfort control unit may take this into account when controlling the comfort control system of the building.