An environment detection system includes a sound wave transmitter, a sound wave receiver, and a control unit. The sound wave transmitter transmits a detection sound wave to a target space. The sound wave receiver receives the detection sound wave transmitted by the sound wave transmitter. The control unit controls the sound wave transmitter. The environment detection system detects at least either a temperature distribution or an air velocity distribution in the target space. The control unit executes a first control to regulate at least either a volume or a frequency of the detection sound wave transmitted by the sound wave transmitter so that a volume of the detection sound wave received by the sound wave receiver is higher than or equal to a predetermined reference reception volume.

An appliance hub for use in an upper portion of an enclosure can include a substrate configured to be positioned in an upper portion of an enclosure. The appliance hub can include a climate control apparatus mounted on the substrate and the climate control apparatus can be configured to regulate a temperature within the enclosure. The appliance hub can include one or more lighting elements configured to provide light within the enclosure, a plurality of fluid lines connected to the substrate and configured to provide fluid service and return to the climate control apparatus, and/or a plurality of electrical connections connected to the substrate and configured to provide electrical power and/or data to at least one of the climate control apparatus and the one or more lighting elements.

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.

Logical boundaries enclosing a physical area are defined. A segment of the logical boundaries is defined as a directional gate, wherein traversing the gate into the physical area is defined as an ingress and traversing the gate out of the physical area is defined as an egress. The directional gate is monitored, and ingresses and egresses are detected. An occupancy count of the physical area is maintained, based on monitoring the gate and detecting ingresses and egresses. One or more conditions are tracked in addition to the occupancy count. Artificial intelligence (AI) processing is applied to the maintained occupancy count and the additional tracked condition(s), in real-time as the monitoring, maintaining and tracking are occurring. One or more responsive actions are automatically taken as a result of applying the AI processing to the maintained occupancy count and the additional tracked condition(s).

An HVAC controller controlled in response to a natural language audio message that is not recognizable by the HVAC controller as a command, where the natural language audio message is translated into a command recognizable by the HVAC controller. The HVAC controller may be a thermostat and may include a housing that at least partially houses a control module, a microphone, a speaker, a display, and a voice recognition module. The voice recognition module recognizes a predetermined audible trigger from a recorded voice message or streamed voice message, and in response, provide one or more audio clips via the speaker and/or video clips via the display to assist users in operating the thermostat. A user may communicate with the thermostat via the thermostat and/or a remote device.

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.

Proposed is a household ventilation apparatus capable of adjusting air velocity in multiple stages and, particularly, a household ventilation apparatus capable of adjusting air velocity in multiple stages, which is installed in a bathroom and the like of a building such as an apartment so as to adjust the ventilation speed and to change the ventilation speed such that noise is reduced or rapid ventilation is performed depending on a user's preference and the like. The household ventilation apparatus includes: a housing; a motor mounted in the housing; a fan member mounted on the motor so as to rotate; an air volume adjusting unit for setting the magnitude of the air volume of the fan member by means of external input; and a control unit for controlling the rotational speed of the motor in accordance with a set value of the air volume of the air volume adjusting unit.

Air-cleaning control is performed in accordance with a situation of motion of a person and brightness in a room. An air-cleaning device (100) includes: a first determination unit (11) that determines, from a detection signal from a person detection sensor (31), whether a state of an air-cleaning target room is at least any of a state where a person is absent in the air-cleaning target room, a state where a person is present and a motion amount is small, and a state where a person is present and the motion amount is large; a second determination unit (12) that determines, from a detection signal from as illuminance sensor (32), whether the state of the air-cleaning target room is at least any of a state where it is bright inside the air-cleaning target room and a state where it is dark inside the air-cleaning target room; and an operation control unit (13) that controls an operation of an air-cleaning function by using determination results of the first determination unit (11) and the second determination unit (12).

A smart artificial intelligence based mobile robot having an air purification, humidification, dehumidification, and ultraviolet cleaning-based system to remove pathogens is disclosed. The robot also acts as an emergency alert system for break-ins and human fall detection using AI algorithm. The mobile robot operates and navigates intelligently using real time data collected from the environment through various sensors and input devices. An object detection module may use inputs from the camera to recognize people, pets, and others by pre-trained machine learning data set. The mobile purification, humidity management and sanitizing robot includes a ball bearing for balance and a motor controller, which drives two motors and wheels. The central controller of the smart mobile robot system has memory and processor to handle navigation, communication, notifications, and air handling system through real time data collection.

A device is configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system. The device is further configured to determine that the amount of time to close a pressure switch exceeds a time threshold value. 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.