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.

An operation method for reducing energy consumption and an electronic apparatus thereof are provided. The operation method includes obtaining, by the electronic apparatus, weather forecast information, inputting, by the electronic apparatus, the weather forecast information to an artificial intelligence model for predicting an amount of power to be consumed by a first air conditioner, and displaying, by the electronic apparatus, the predicted power consumption amount of the first air conditioner output from the artificial intelligence model, wherein the artificial intelligence model is trained to obtain correlation information between a weather condition and a power consumption amount of an air conditioner, based on a weather history and operations of a plurality of air conditioners related to the weather history, and predict the amount of power to be consumed by the first air conditioner based on the correlation information and the weather forecast information.

An HVAC duct ozone generator includes at least two ozone generation plate stacks, where each plate stack includes at least two independently electrically addressable plate groupings, where a primary plate grouping includes fewer ozone generation plates than a secondary plate grouping. Thus, the generator includes at least four independent ozone generation control channels to energize the primary and secondary plate groupings of each of the at least two plate stacks. The number of plates in a plate grouping may optionally be altered to reduce the ozone generation capacity of the primary plate grouping in relation to the secondary plate grouping through the movement of resistive collars between the stacked ozone generation plates.

The present invention solves the problem of efficiently disinfecting and deodorizing indoor areas with ozone, without introducing health risks to people inside these areas. A cold plasma ozone generator generates ozone that is distributed to one or more rooms where disinfection and/or deodorization is needed. The distribution of ozone is regulated by valves controlled by a main control module collecting data from ozone concentration and IR motion detectors installed at rooms where the ozone is distributed, and other sensors in the ozone generator, and by using a schedule associating information derived from the sensory data, with dates, time slots, and desired ozone concentrations. If ozone concentrations exceed predefined levels, ozone generation and/or distribution is interrupted. When malfunctions occur, either the main control module commands the system to enter in emergency shutdown or lockdown, or a local control module or the ozone generator take control of the ozone generation and distribution.

An air quality system handled by artificial intelligence internet of things is provided and includes a gas detection device, an artificial intelligent internet of things handling device, and a user demand platform. In the system, the user demand platform transmits an instruction to the artificial intelligent internet of things handling device. By using self deep-learning analysis of data computing and algorithms of the AI device, second digital data is generated. The second digital data is fed back to the gas detection device through the network. Accordingly, the actuating actions of the micro pumps and the detecting actions of the sensors can be generated. Hence, the actuation and the detection of air quality can be achieved more effectively.

An air quality monitor connected to a server that can identify individual people as they move from room to room count the people in each room; the information is then used to determine each person's individual exposure to pollutants.

An operation method for reducing energy consumption and an electronic apparatus thereof are provided. The operation method includes obtaining, by the electronic apparatus, weather forecast information, inputting, by the electronic apparatus, the weather forecast information to an artificial intelligence model for predicting an amount of power to be consumed by a first air conditioner, and displaying, by the electronic apparatus, the predicted power consumption amount of the first air conditioner output from the artificial intelligence model, wherein the artificial intelligence model is trained to obtain correlation information between a weather condition and a power consumption amount of an air conditioner, based on a weather history and operations of a plurality of air conditioners related to the weather history, and predict the amount of power to be consumed by the first air conditioner based on the correlation information and the weather forecast information.

A ventilation system with: (i) a volumetric enclosure having an inlet and an outlet and for coupling to an interior of a building habitable by human occupants; (ii) a fan located within the volumetric enclosure and for drawing air exterior to the building and supplying the air to the interior of the building; (iii) a programmable control apparatus for enabling and disabling the fan in response to a plurality of parameters, at least some of the parameters relating to quality of air to me moved in response to the fan; and (iv) circuitry coupled between the inlet and the outlet for measuring a signal representative of a volume of air passing through the volumetric enclosure over a period of time.

Systems and methods for providing visualization of health risks within a building. Health risk levels for building spaces are determined using occupancy data and health risk data relating to a risk of contracting or spreading an infectious disease. A visualization of the health risk levels is generated and presented on a user interface.

The invention relates to devices for the treatment of air of at least one room. These are distinguished in particular by the fact that air which is low in bacteria, germs and odours can be provided in at least one room.

For this purpose, the device has at least one supply air line which supplies treated air and in each case has at least one air treatment device having at least one ionization module, an air flow sensor and an air humidity sensor. At least one exhaust air line has at least one air quality sensor. Furthermore, at least one dust-measuring device arranged in front of the ionization module and/or at least one dust-measuring device arranged in the exhaust-air line are present. In addition, the ionization module, the sensors and the dust measuring devices are connected to a data processing system for increasing or decreasing the ionization intensity. Furthermore, at least one device measuring the load current of the ionization module is connected to the data processing system, which assigns an operating state of the ionization module in the event of a load current change as a function of the measured values of the dust measuring device.