A method for intelligently preventing and handling indoor air pollution is adapted to be implemented in an indoor space and includes providing a cloud processing device to receive and intelligently compare an outdoor gas detection data, an indoor gas detection data, and device gas detection data with each other. Then, the cloud processing device remotely transmits a control signal to the communication relay station and further to an indoor gas exchange system, so that the indoor gas exchange system is capable of intelligently enabling the gas processing device and controlling the operation time of the gas processing device for exchanging a polluted gas in the indoor space with the outdoor gas. Moreover, the gas exchanger can perform purification for the polluted gas at the location of the gas exchanger, thereby allowing the polluted gas in the indoor space to be exchanged into a clean, safe, and breathable gas.

A HVAC system includes an environmental sensor configured to provide an indoor air quality (IAQ) value indicative of at least one of a pollutant or a pathogen in a space in the building and a controller positioned in the space, the controller configured to receive the IAQ value from the environmental sensor, determine if the IAQ value is above a IAQ setpoint for the space, determine an occupancy status for the space, and control HVAC equipment to ventilate the space with outdoor air at a flowrate in response to determining that the IAQ value is above the IAQ setpoint, such that the flow rate when the occupancy status of the space is unoccupied is less than the flow rate when the occupancy status of the space is occupied.

A method and a system to measure and control indoor environment using Internet of Things (IoT) and Artificial Intelligence (AI) or Strong Artificial Intelligence (SAI). The method includes the steps of measuring air quality of an indoor environment and/or outdoor environment using respective sensors and/or analyzers, followed by receiving, configuring and controlling the data, by the processor, to maintain the indoor air quality using healthy gas stored in the container(s) and using air conditioned unit to achieve the user desired indoor air quality parameters. Further, a system for measuring and controlling air quality in an indoor environment as desired by the user. The user can even customize the parameters to achieve desired air quality in the indoor environment.

A system and method for generating air quality scores for air quality within certain locations are presented. The method includes identifying at least one air pollution source within the predetermined perimeter around the at least one location; extracting an air quality score range based on the at least one location from at least one data source; identifying at least one environmental variable based on the at least one location and the at least one time parameter; simulating at least one air pollution measurement based on the at least one environmental variable and the at least one air pollution source; and generating at least one air quality score respective of the air quality score range, wherein the at least one air quality score is based on the at least one air pollution measurement.

An air cleaner includes a blower, a circulator disposed over the blower, and a mover coupled to the circulator and configured to change an arrangement of the circulator. The circulator includes a lower cover, an upper cover disposed over the lower cover, a blower fan rotatably disposed between the lower cover and the upper cover, a motor disposed on an upper side of the lower cover and rotating the blower fan, an inner cover disposed over the lower cover and receiving a lower portion of the blower fan, and a bell mouth protruding upwardly from an inner circumferential end of an inner plate of the inner cover and spaced apart outwardly from a circumferential surface of a suction guider of the blower fan, so as to guide air, drawn in through an inlet of the lower cover, toward an inlet of the blower fan.

A fan-on Fault Detection Diagnostic (FDD) and correction method comprising at least one method selected from the group consisting of: detecting a Heating, Ventilating, Air Conditioning (HVAC) fan is controlled by a fan-on duration setting or a continuous or intermittent fan-on duration setting or schedule, and performing at least one action selected from the group consisting of: providing at least one fan-on alarm message, overriding the fan-on duration setting or the fan-on duration schedule, and turning off the HVAC fan for a fraction of the fan-on duration setting or schedule. Turning off the HVAC fan is based on at least one method selected from the group consisting of: a variable duration, skipping a scheduled fan-on duration setting, based on a call for cooling/heating, based on a geofencing or occupancy sensor signal, and based on a user-selected fan-on duration setting or a user-selected fan-off duration schedule.

Embodiments of the present application relate to the field of air purification devices, and disclose an air purification system and an Internet of things artificial intelligence control device, applied to both sides of an outdoor street and an associated space, comprising: a housing, an electrostatic dust removal air purifier, a controller, and a fan; The electrostatic dust removal air purifier, the controller and the fan are all disposed in the said housing; The front side of the housing is configured with an air inlet and an air outlet, herein the air inlet is for transmitting outdoor polluted air, and the air outlet is for transmitting purified air; The electrostatic dust removal air purifier and the fan are both connected to the said controller; The controller controls the fan to transmit outdoor air to the housing through the air inlet, and controls the electrostatic dust removal air purifier to purify the said outdoor air, after the air purification is completed, the purified air is discharged by the fan through the air outlet, so that the purification of the outdoor air is realized, to solve the technical problem due to the poor air circulation of the street canyons, the difficulty in diffusing pollutants, and the inability to reduce the pollution on both sides of the street.

A building system for a building. The building system can include one or more memory devices. The one or more memory device can store instructions. The instructions, when executed by one or more processors, can cause the one or more processors to receive, from one or more sensors, air quality measurements associated with one or more spaces of the building, and generate, using the air quality measurements, a productivity score for at least one of the building or at least one space of the one or more spaces of the building. The productivity score can be based on a predicted productivity or effect on productivity of one or more occupants of the building in view of the air quality measurements.

A building management system can include one or more computer-readable storage media. The one or more computer-readable store can have instructions stored thereon that, when executed by one or more processors, cause the one or more processors to obtain, from a regional air quality data source, a first set of outdoor air quality data, wherein the first set of outdoor air quality data represents air quality measured for a region, obtain, from one or more local sensors coupled to and/or positioned proximate to the building, a second set of outdoor air quality data, wherein the second set of outdoor air quality data represents air quality measurements at one or more positions at or near an exterior of the building, and generate, using the first set of outdoor air quality data and the second set of outdoor air quality data, an air quality assessment for the building.

Computer-implemented systems and methods for estimating a replacement status of an HVAC air filter. Outdoor weather data (e.g., outdoor temperature information), is obtained. A Total Runtime Value of the HVAC system is determined based upon the obtained outdoor weather data. Finally, a replacement status of the air filter is estimated as a function of a comparison of the Total Runtime Value with a Baseline Value. By correlating air filter replacement status with an estimated runtime of the HVAC system, a credible predictor of air filter usage is provided. By estimating fan runtime based on easily-obtained outdoor weather data, the methods are readily implemented with any existing HVAC system and do not require installation of sensors or other mechanical or electrical components to the HVAC system.