A building system can connect to temporary air quality sensors installed throughout spaces of the building for a period of time. The building system can receive air quality measurements of the temporary air quality sensors over the period of time and disconnect from the temporary air quality sensors at an end of the period of time, wherein the temporary air quality sensors are uninstalled at the end of the period of time. The building system can generate a control strategy based on the air quality measurements, the control strategy for controlling equipment of the building to improve air quality of the building and cause a building management system to implement the control strategy to control the equipment of the building to improve the air quality of the building.

Airborne contaminant detection and localization systems include an HVAC system having a duct, a first vent connected to a first indoor space, and a second vent fluidly connected to a second indoor space, with the second vent being downstream from the first vent in a flow direction along the duct. A monitoring system includes a first and second sensor elements arranged proximate the first and second vents, respectively, the sensor elements configured to detect one or more airborne contaminants. A central unit receives sensor data from the sensor elements. The central unit includes information regarding a location of each of the sensor elements within the duct. The central unit determines the presence and intensity of an airborne contaminant in the duct from the sensor data and establishes a detection zone that includes a portion of the vent having a highest detected intensity of the airborne contaminant.

Apparatus and associated methods relate to monitoring air quality. At least one of temperature, humidity, and particulate concentrations is measured by an indoor air quality monitor, which may be disposed in a spot location. Air from that spot location is drawn into the housing of the indoor air quality monitor via a fan assembly. The air drawn into the housing is directed passed at least one of a temperature sensor, a humidity sensors, and a particulate detector. The air is then expelled back outside the housing through an outlet in a non-planar upper surface of the housing. A processor generates the indoor air quality summary based on the measured temperature, humidity, and particulate concentration.

A system and method for controlling air quality within an indoor space are disclosed. An example system includes an air circulation unit that moves air through ductwork of a heating, ventilation, and air conditioning (HVAC) system and an air sanitization unit within the ductwork of the HVAC system that sanitizes air passing through the ductwork of the HVAC system. The system further includes an indoor air quality controller that controls a rate at which the air circulation unit moves the air through the ductwork of the HVAC system responsive to inputs received at the indoor air quality controller and controls an operational status of the air sanitization unit responsive to the inputs received at the indoor air quality controller.

A method and system of determining a filter life are disclosed. In examples, a method comprises capturing aerosol particles on a filter and measuring absorbance spectra of the aerosol particles captured on the filter. The method further comprises identifying one or more aerosol particle types based on the measured absorbance spectra and determining a mass accumulation of each of the one or more aerosol particle types based on the measured absorbance spectra and the aerosol particle type. The method further comprises determining a median particle size of each of the one or more aerosol particle types based on the measured absorbance spectra and the aerosol particle type and determining a filter life based on the determined mass accumulation and the determined median particle size of each of the one or more aerosol particle types.

Provided is an air cleaner, and more specifically, to an air cleaner in which a filter part using a photocatalyst is formed in a module type to facilitate replacement and cleaning and which includes an insert fan which is disposed inward from a suction port of a casing forming an exterior and including the suction port disposed at one side and a discharge port disposed at the other side, and suctions ambient air, a driving motor provided to be axially detachably coupled to the insert fan in a direction from the discharge port, and a suction unit fixing part in which an accommodation space, into which the insert fan and the driving motor are fixedly inserted in the direction from the suction port toward the discharge port and which is finished by inserting a cover member in the direction from the discharge port.

The systems and methods described herein provide for a novel deep learning approach to estimating and predicting faulty mechanical system conditions before they occur without using any measurements from the system itself. Environmental data, such as temperature, humidity, occupancy, volatile organic compounds (VOC), equivalent carbon dioxide (eCO2) and particulate matter may be used in the estimation and prediction of faults, failures, and other inefficiencies within the HVAC system.

An autonomous device for measuring at least one characteristic of a fluid circulating in a conduit in a flow direction comprises a permanent magnetic field source, a magneto-electric converter and a processing circuit capable of using the electric charges supplied by the converter to supply a measurement of a characteristic of its environment. The source and the converter are placed in a stator and a rotor forming the device. The autonomous device further comprises attachment means allowing the stator to be fixedly placed in the conduit or at one end of the conduit, in a configuration in which the axis of rotation of the rotor is parallel to the flow direction. A control system may employ at least one such autonomous device.

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.