A variable air flow air conditioning (HVAC) system is provided, along with methods of use thereof. In example embodiments, one or more variable speed fans or air-moving devices are in communication with ducts connecting one or more zones of a structure or other space to be air conditioned. Zone temperature sensors and air flow measurement are provided to obtain particular measurements relative to the zone it is serving while communicating with a central control. Optionally, a distributed control system can be provided such that zone sensors communicate with both the central control and a respective zone controller. The control system collects and processes multiple data sets to dynamically and proportionally adjust the volumetric air flows of each of the zones to satisfy any loads or heating/cooling demands while also maintaining a net volumetric air flow across a coil of the indoor heat transfer unit within a preset range.

Provided are a system and a method for predicting an occupancy time of a user in a city building based on big data for auto control of heating or cooling for energy saving. The user occupancy time prediction system includes: a sensor configured to collect data regarding whether a user occupies a predetermined space in a building; a database configured to store the collected data; a data pre-processing unit configured to process the stored data into a format suitable for machine learning; and a prediction unit configured to input the processed data into a machine learning model, and to predict an expected unoccupancy time of the user regarding the predetermined space in the building. Accordingly, a user occupancy/unoccupancy time may be predicted by analyzing big data, and energy may be saved by adjusting a temperature of a heating or cooling device before the unoccupancy time.

A ventilation apparatus includes: a housing including a first inlet through which outside air is sucked, a second inlet through which room air is sucked, a first outlet through which air is supplied to an indoor space, and a second outlet through which air is discharged to an outdoor space; an outside temperature sensor configured to measure a first temperature of the outside air; a room temperature sensor configured to measure a second temperature of the room air; a total heat exchanger configured to perform heat exchange between the outside air and the room air; a first blower communicating with the first outlet; a second blower communicating with the second outlet; and a processor to perform a drying operation for the total heat exchanger by operating at least one of the first blower or the second blower, based on a difference value between the first temperature and the second temperature.

The disclosure includes a method comprising determining that solar heat gain exists in trapped air between a window shade and a window and opening a controllable damper to exhaust the trapped air. The method may also include obtaining occupancy data about an occupant based on at least one of a home automation system or a security system. The method may also include forecasting, using a sky camera and historical sky conditions, sky conditions associated with a building; and determining, based on the forecasted sky conditions, a setting for at least one of a lighting system or an HVAC system associated with the building. The method may also include changing a timing of an automation routine for adjusting window shades to minimize an impact on peak demand energy usage.

A building supervisory control structure having a supervisor connectable to a cloud and a heating, ventilation and air conditioning (HVAC) unit connected to the supervisor and the cloud. A safety features stack is connected to the supervisor. The safety features stack includes a connectivity check automated fail-over, an optimization watchdog, a rule-based comfort protection mechanism, savings bottlenecks overview, a human override, and a notification mechanism.

A device such as a smart thermostat is provided for controlling heating and cooling systems. The device is operable to execute an energy control program to control the heating and a cooling systems based upon different control strategies: a first control strategy that compares the at least one temperature setpoint in the programming schedule to the current measured dry bulb temperature to determine whether to engage or disengage the heating and a cooling systems, and a second control strategy that compares the at least one temperature setpoint in the programming schedule to a normalized humidex temperature to determine whether to engage or disengage the heating and a cooling systems, the normalized humidex temperature being the current measured dry bulb temperature modified by historical humidity values to provide an indicator of thermal comfort within the premise.

Provided are an intelligent management method and system for a production environment of a plant, belonging to the technical field of plant centralized control. The method includes: acquiring device attribute information of a target device stored in a target plant workshop by a high-definition camera at first timing, and predicting and analyzing the device attribute information to acquire a first target cleanliness index corresponding to the device attribute information; acquiring entry-exit feature information of the target plant workshop by the high-definition camera at second timing, and predicting and analyzing according to the entry-exit feature information to acquire a second target cleanliness index corresponding to the entry-exit feature information; and determining a cleanliness control parameter according to the first target cleanliness index and the second target cleanliness index, and controlling multiple FFU devices to filter air in the target plant workshop according to the cleanliness control parameter.

The invention discloses a spray cooling fan control system and method based on computer vision technology. The data acquisition system monitors person thermal comfort through various non-contact measurement methods, which improves the accuracy and instantaneity and achieves human thermal comfort and energy saving. The information processing system adjusts the air and spray volume based on human skin temperature and thermal sensation and plans the mobile path. The mobile control system moves the spray cooling fan to the optimal location so that the mobility and flexibility are enhanced. The intelligent voice interaction system and the end control system control the opening of the fan intelligently and humanely so that people become the main subject which controls the environmental temperature optimization equipment. Consequently, the invention cools person precisely and meets the thermal environment control and personnel thermal needs quickly.

The present invention relates generally to the field of air purifiers, and more particularly to an air purifier having a control system providing a noise mitigation feature that detects when an ambient space is occupied and provides for decreased fan speed, resulting in decreased fan noise, during periods of time in which the ambient space is determined to be occupied.

Techniques are described for providing remote device (e.g., thermostat, lighting, appliance, etc.) control and/or energy monitoring. A system monitors sensor data captured by one or more sensors that sense attributes relevant to user presence at one or more monitored properties and status of one or more energy consuming devices associated with the one or more monitored properties. The system analyzes the monitored sensor data and the monitored device status with respect to a set of one or more rules and performs an operation related to controlling the one or more energy consuming devices based on the analysis of the monitored sensor data and the monitored device status with respect to the set of one or more rules.