An automated flush system for an evaporative cooling system may be employed in barns or other facilities that house animals to provide cooling and to reduce production loss. The evaporative cooling control system may include an automated flush system that has a controllable valve at a flush end of the cooling system. Based on a timer, the controllable valve is opened and water drains (e.g., pumped or gravity feed) out of the cooling pad enclosure. Fresh water is introduced at the “fill” end of the system, rinsing out the evaporative cooling pads. After a predetermined time, the valve at the flush end of the system is closed, and the fresh water refills the cooling pad enclosure.

This disclosure aims to provide a technique for improving the accuracy of prediction. A first trained model for inferring labels for measurement data is generated based on a first data set. The first data set includes: combined data that are a combination of first measurement data, which are related to a first air conditioning apparatus, and labels set for the first measurement data; and second measurement data related to the first air conditioning apparatus.

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).

A method of controlling a heating, ventilation, and air-conditioning, HVAC, system. The method includes: controlling indoor environmental conditions using the HVAC system, detecting a load of the HVAC system, inputting detected indoor environmental conditions and detected outdoor environmental conditions into a load prediction model to generate a predicted load, and training the load prediction model to reduce a difference between the predicted load and the detected load of the HVAC system; determining requested indoor environmental conditions associated with a future time period; determining predicted outdoor environmental conditions within the future time period using a weather forecast; inputting the requested indoor environmental conditions and the predicted outdoor environmental conditions into the trained load prediction model to determine a predicted load for the future time period; controlling the HVAC system to reduce a load of the HVAC system within the future time period using the determined predicted load.

A heating, ventilation, and air conditioning (HVAC) system may be zoned into one or more zone. The HVAC system may include HVAC components, sensors, and one or more register vents that may include vent dampers (e.g., electronically controllable vent dampers or manually operated vent dampers). Opening and closing of the vent dampers may facilitate creating zones or sub-zones in the HVAC system configuration. An HVAC control system may receive a request for conditioned air in one or more of the zones, determine a damper setting for at least one of the vent dampers, communicate the determined damper setting to a vent damper or user interface, determine which HVAC components should be active, if any, and/or provide controls signals to activate or keep active the HVAC components that are determined to be active.

The air conditioner includes a thermal image acquirer that acquires a thermal image indicating a temperature distribution inside the air-conditioned space, and a thermal sensation estimator that estimates the thermal sensation of a person in the air-conditioned space based on the thermal image obtained from the thermal image acquirer and a parameter set in the air conditioner, the parameter prescribing at least one of a wind direction, a wind speed, and a wind temperature of wind emitted from the air conditioner.

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).

An environmental control system for a building space including heating, ventilation, or air conditioning (HVAC) equipment that operates to control a temperature of the building space. The system includes lighting equipment that operates to control a luminosity and affect a heat load disturbance for the building space. The system includes an environmental controller including a processing circuit configured to predict the heat load disturbance based on potential operating states of the lighting equipment over a time period. The heat load disturbance affects the temperature of the building space. The processing circuit is configured to generate control decisions for the HVAC and lighting equipment based on the predicted heat load disturbance and subject to constraints on the temperature and luminosity of the building space. The processing circuit is configured to operate the HVAC and lighting equipment based on the control decisions.

An air conditioning control device includes: a passenger determination unit that determines whether a passenger is in a self-driving vehicle; a travel determination unit that determines a traveling state of the self-driving vehicle; and a light blocking control unit that executes a light blocking air conditioning control for a vehicle cabin by operating a light blocking device to adjust solar radiation into the vehicle cabin from a window of the self-driving vehicle when the passenger determination unit and the travel determination unit determine that the self-driving vehicle is in an unmanned traveling condition.

The air conditioning system comprises: an air conditioner; an inference device to infer data representing a total amount of a power demand value exceeding a set value for a prediction target period from input data including at least one of operation data of the air conditioner for a period prior to the prediction target period, state data of a user of the air conditioner for the period prior to the prediction target period, weather prediction data for the prediction target period, or characteristic data of the room in which the air conditioner is installed; and a control device to cause the air conditioner to perform a heat storage operation depending on a predicted value of the total amount of the power demand value.