The present invention relates a heating control system through prediction of user's sleep time based on a big data analysis using a smartphone, comprising a user terminal including a plurality of sensors that generate all kinds of sensor data; a big data server that stores all kinds of sensor data; a sleep prediction unit that calculates sleep prediction time of a user based on all kinds of sensor data; and a heating apparatus that determines whether the user currently sleeps or not based on the calculated sleep prediction time and changes an indoor heating control method according to whether the user sleeps or not.

A method, system and product, comprising: determining, in an environment where an air purifier and a fan-based device are deployed, an operation to be performed by the fan-based device, wherein the operation is configured to achieve a desired effect together with a purifying operation of the air purifier, wherein the air purifier and the fan-based device are physically separated, wherein the air purifier is being operated to purify an air within the environment, wherein said determining the operation comprises selecting a configuration for the fan-based device that is configured to cause the fan-based device to perform the operation; and instructing the fan-based device to implement the configuration, whereby causing the fan-based device to perform the operation; whereby the air purifier and the fan-based device achieve the desired effect together.

A device is configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system. The device is further configured to receive an audio signal from a microphone while operating the HVAC system and to determine that an audio signature for a combustion air inducer is not present within the audio signal. The device is further configured to determine whether an audio signature for an integrated furnace controller is present within the audio signal. The device is further configured to determine a fault type based on the determination of whether the audio signature for the integrated furnace controller is present within the audio signal, to identify a component identifier for a component of the HVAC system associated with fault type, and to output a recommendation identifying the component identifier.

A reference microphone for detecting noise is located under a first duct. The noise is in the form of a first plane wave in the first duct. A speaker is located on a top of the first duct. Connected to an upper part of the first duct is a second duct including an error microphone. The first plane wave in the first duct passes through an acoustic path and reaches the second duct. The error microphone detects the sound, and the speaker outputs a second plane wave with an opposite phase for canceling the first plane wave.

A system configured to modify an environmental condition of a building includes a valve configured to regulate a flow of a fluid and an actuator. The actuator includes a motor and a drive coupling, the drive coupling driven by the motor and coupled to the valve for driving the valve between multiple positions. The system further includes a flow rate sensor configured to measure the flow rate of the fluid through the valve and a processing circuit coupled to the motor and the flow rate sensor. The processing circuit is configured to receive a flow rate setpoint and a flow rate measurement, determine an actuator position setpoint based on the flow rate setpoint and the flow rate measurement, and operate the motor to drive the drive coupling to the actuator position setpoint. The flow rate sensor and the processing circuit are located within a common integrated device chassis.

The present invention relates to a means of reducing exposure to aerosolized particulate pathogens thereby (1) safely increasing throughput, (2) increasing surgical flow rates and (3) improving surgical suite turnover times (i.e., limiting non-productive facility space utilization) through air quality monitoring, generally. Further, the present invention couples air quality sensors with real-time processing technology by combining algorithmic enabled and mechanical means of lowering risk levels of both patients, medical professionals and ancillary staff alike.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring air quality with multiple sensing devices. The methods, systems, and apparatus include actions of: obtaining first sensor data from a sensor that is not an air quality sensor, determining that the first sensor data satisfy a first air quality criterion, in response to determining that the first sensor data satisfy the first air quality criterion, obtaining second sensor data from an air quality sensor, determining that the second sensor data satisfy a second air quality criterion, and based on a determination that the second sensor data satisfy the second air quality criterion, activating an air quality device.

The present invention relates a heating control system through prediction of user's sleep time based on a big data analysis using a smartphone, comprising a user terminal including a plurality of sensors that generate all kinds of sensor data; a big data server that stores all kinds of sensor data; a sleep prediction unit that calculates sleep prediction time of a user based on all kinds of sensor data; and a heating apparatus that determines whether the user currently sleeps or not based on the calculated sleep prediction time and changes an indoor heating control method according to whether the user sleeps or not.

A device configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system and to receive an audio signal from a microphone while operating HVAC system. The device is further configured to generate a representation of the audio signal, to compare one or more audio signatures to the representation of the audio signal, and to determine that an audio signature from among the one or more audio signatures is not present within the representation of the audio signal. The device is further configured to determine a fault type that is associated with the audio signature that is not present within the representation of the audio signal, to identify a component identifier for a component of the HVAC system that is associated with fault type, and to output the component identifier.

A method for managing air quality may include, at one or more processors, receiving sensor data comprising a plurality of air quality parameters for an environment, wherein the sensor data is generated by one or more environment quality monitoring devices located in the environment, predicting an adverse air quality event based on the sensor data, and automatically controlling one or more devices to mitigate the adverse air quality event. An environment quality monitoring device may include a housing, a plurality of sensors in the housing and configured to generate sensor data comprising a plurality of environment quality parameters, a network communication device configured to communicate the sensor data over a network, and an alert configured to indicate an environment quality score of the ambient environment, where the environment quality score is based on at least a portion of the sensor data.