A bi-level optimization scheduling method for an air conditioning system based on demand response includes: constructing a lumped heat capacity model to describe a heat storage capacity of a building to thereby obtain a building heat storage model; obtaining a function relational expression of describing an indoor dry bulb temperature and a cooling and heating load of the building based on the building heat storage model; constructing a power consumption calculation model under a working condition of demand response based on the function relational expression; constructing optimization objective functions based on the power consumption calculation model; and substituting the optimization objective functions into a bi-level optimization process, and optimizing the bi-level optimization process to obtain an optimal scheduling strategy for the air conditioning system participating in demand response. The method can achieve a global optimization of demand response scheduling strategy, and improve economy and energy saving of system operation.

A system is disclosed to obtain irrigation water consumption data for a water-monitored property. The system may include a non-transitory computer-readable medium and computer code encoded on the non-transitory computer-readable medium, for, among other things, opening and closing each of one or more irrigation valves in accordance with calibration schedule data during a first period of time within one or more daily, weekly, or monthly future time periods when water consumption is not likely to occur or is likely minimal; and calculating a first computed flow rate for each of the one or more irrigation valves based on, among other things, the calibration valve open time and the calibration valve close time. A method and computer program product related to the foregoing system are also disclosed.

A method and device for controlling an air conditioner, and a computer readable storage medium. The method for controlling an air conditioner includes: upon detecting a power-on or power-off command corresponding to an internal unit of a central air conditioner, acquiring a current predicted load of the central air conditioner; determining whether the predicted load meets an external unit change condition; and if so, adjusting an operating state of an external unit of the central air conditioner on the basis of the predicted load.

A zoning system for a heating, ventilation, and/or air conditioning (HVAC) system includes a temperature control device configured to monitor a temperature in a zone of a structure for conditioning by the HVAC system and configured to send a wireless control signal including data based on the temperature, and a damper actuator configured to be associated with the zone and configured to adjust a position of a damper to control an airflow into the zone, where the damper actuator is configured to receive the wireless control signal from the temperature control device and configured to adjust the position of the damper based on the data.

A device is configured to operate a Heating, Ventilation, and Air Conditioning (HVAC) system. The device is further configured to receive a temperature value and determine a load demand value based on the temperature value. The device is further configured to determine the load demand value is greater than the load capacity value for the HVAC system and, in response, identify a first setting from among a first plurality of settings for the HVAC system. By default, access to the first plurality of setting for the HVAC system is restricted for a user. The device is further configured to receive a response approving permission to operate the HVAC system using the first setting to the user and send a trigger signal to an HVAC controller to operate the one or more components of the HVAC system using the first setting.

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.

An outside air processing device adjusts the temperature and humidity of outside air taken thereinto, and then supplies the adjusted air to a target space. The outside air processing device includes a heating element configured to heat air, a humidifying element configured to humidify air that has passed through the heating element, and a control unit for outside air processing configured to change the temperature of air at an inlet of the humidifying element in accordance with the humidity in the target space.

An environmental anomaly detecting system, applied to an air detection in an environment. The environmental anomaly detecting system includes: an air conditioning equipment, used for providing an air flow to the environment; at least one sensor, used for obtaining a feature data relating to the air flow; and a computing module, communicatively connecting to the at least one sensor, used for inputting the feature data into each of multiple machine learning models to obtain multiple first prediction labels. The computing module is used for inputting the multiple first prediction labels into an ensemble model to obtain a second prediction label, and the second prediction label is used for indicating whether the air flow is abnormal.