A building system for a building including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to operate one or more pieces of building equipment associated with a building space based on a first operating mode. The instructions cause the one or more processors to receive an indication to update operation of the building space based on an emergency situation and responsive to receiving the indication to update operation of the building space based on the emergency situation, operate the one or more pieces of building equipment based on a second operating mode, wherein the second operating mode defines one or more second parameters for the one or more pieces of building equipment and is adapted to reconfigure the operation of the building space to address or mitigate the emergency situation.

A camera takes an image of a user. A room environment information sensor detects room environment information about an environment in a room where the user is present. An estimation unit estimates a concentration degree of the user based on the image of the user taken by the camera and the room environment information sensed by the room environment information sensor.

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.

A method for mitigating airborne pathogens from a livestock house is disclosed. In an embodiment, the method comprises using a cross-flow ventilation system, which is fluidly connected to a livestock house and configured to control the air quality and movement by introducing ambient air into at least one air filtration system that is attached to a side wall of the house; conditioning the air in the air filtration system by performing at least one step selected from filtering, cooling, disinfecting, or pressurizing the air; introducing the conditioned air into an air chamber; flowing the conditioned air from the air chamber into the house through at least one ventilation panel to the opposing sidewall with a laminar or substantially laminal flow of air; and removing the air from the house using an exhaust fan attached to a side wall opposite the side wall containing the air filtration system.

The present invention relates to a device for regulating a heating and/or cooling system serving a building, said system comprising a management system and a generation system, said device being adapted to: receive a main signal from said management system; receive at least one reference signal representative of a desired parameter for said building; receive at least one environmental signal representative of at least one parameter related to said building,
said device being characterized in that it is adapted to: receive a control unit signal representative of a parameter related to the generation system, output a control signal for said generation system,
said control signal being determined on the basis of said main signal, said reference signal, said at least one environmental signal and said control unit signal.

A system for climate control comprises a controller, comprising a processor and a non-transitory computer-readable medium with instructions stored thereon, a plurality of sensors communicatively connected to the controller, and at least one HVAC component communicatively connected to the controller, wherein the instructions, when executed by the processor, perform steps comprising receiving sensor data from at least one sensor of the plurality of sensors, executing a machine learning model using the received sensor data as inputs, calculating a predicted temperature, humidity, or occupancy state from the machine learning model, and sending a control instruction to the at least one HVAC component based on the calculated temperature, humidity, or occupancy state. A method for training a machine learning algorithm for a climate control system and a method for HVAC control in a building are also described.

Provided is a carbon dioxide concentration prediction system including a prediction unit configured to predict, based on a current carbon dioxide concentration of an internal space in a prediction target and environment information in the prediction target, a carbon dioxide concentration of the internal space, and a provision unit configured to provide the carbon dioxide concentration predicted by the prediction unit. The prediction unit may further predict a change over time of the carbon dioxide concentration in the prediction target from the current carbon dioxide concentration to the carbon dioxide concentration predicted based on the current carbon dioxide concentration and the environment information, and the provision unit may further provide the change over time of the carbon dioxide concentration.

The present invention relates to an air quality monitoring and controlling system and method for enclosed spaces, which provides an innovative closed loop (i.e., inline real time feedback) air management process, utilizing learning and prediction capabilities to provide with effective air purification and reliable alerting when required.

A control system for controlling consumption of energy in an environment including a controller having a processor and a real time clock, the real time clock being configured to coordinate operations of the processor with timing of the designated peak period, the processor being configured to determine a minimum pre-operating period and to signal an air conditioning and/or space heating system to enter an operating state for at least the minimum pre-operating period before the designated peak period begins and enter a non-operating state after the designated peak period begins; an operating program having processing parameters and processing procedure for determining the minimum pre-operating period, wherein the processing parameters and processing procedure comprise determining the minimum pre-operating period using thermal mass of the environment, costs for the consumption of energy, and efficiency of the air conditioning and/or space heating system.