An air-conditioning system includes an air-conditioning apparatus, a user information input terminal, and a central management apparatus. The user information input terminal detects entrance of a user into a room and transmits an entrance-interlocking signal including user identification information for identifying the user to the central management apparatus. Upon receipt of the entrance-interlocking signal, the central management apparatus determines a control objective of the air-conditioning apparatus according to priority of user attribute of one or more users in the room and an energy saving level currently set, and cause the air-conditioning apparatus to perform an interlocking control in accordance with the determined control objective.

An operation parameter recommending method includes acquiring current application scenario information of a target air conditioner, comparing the current application scenario information with an application scenario information database to select at least one matched application scenario which matches a current application scenario of the target air conditioner associated with the current application scenario information of the target air conditioner, acquiring an air conditioner operation parameter under each of the at least one matched application scenario, acquiring a group-behavior recommended parameter based on the acquired air conditioner operation parameter, acquiring historical operation records of the target air conditioner through an acquisition server, acquiring an individual-behavior recommended parameter based on the historical operation records, generating a final recommended parameter based on the group-behavior recommended parameter and the individual-behavior recommended parameter, and providing the final recommended parameter to control the target air conditioner to operate according to the final recommended parameter.

In an embodiment, an electronic device may include storage containing processor-executable instructions, a preference function that maps weights indicating likely user preferences for the range of values of a device setting in relation to a range of values of a variable, and a current automated device control schedule configured to control the device setting of the electronic device in relation to the variable, and a processor. The instructions may cause the processor to determine the current automated device control schedule based on the preference function by detecting user behavior that indicates satisfaction or dissatisfaction with values of the device setting in relation to the variable, updating the preference function based on the detected user behavior, and determining the current automated device control schedule by comparing a number of candidate device control schedules against the weights of the preference function and selecting the candidate with the highest score.

The present invention discloses a method and an apparatus for controlling an air conditioner, and a computer storage medium, and relates to the technical field of intelligent household appliances. The method includes acquiring a current physical characteristic parameter of an air conditioner user in a current sampling timeframe; and adjusting either or both of a current set temperature and a current compressor frequency of the air conditioner according to the current physical characteristic parameter and current energy consumption of the air conditioner when the current physical characteristic parameter falls within a set range of parameters in sleep. Therefore, energy conservation and a comfortable user experience are compatible, thereby providing more functions for the control of the air conditioner in the sleep mode.

A room information inferring apparatus that infers information regarding a room has an imaging unit that captures an image of a room that is to be subjected to inferring, a person detector that detects a person in an image captured by the imaging unit, and acquires a position of the person in the room, a presence map generator that generates a presence map indicating a distribution of detection points corresponding to persons detected in a plurality of images captured at different times, and an inferring unit that infers information regarding the room based on the presence map.

The present disclosure discloses a fan driving device, and the fan driving device comprises a sensing unit and a processing unit, wherein the sensing unit at least comprises a microwave sensing module; the sensing unit is at least used for sensing whether any human activity exists within the action range based on microwave sensing according to a certain microwave sensing cycle, and outputting a sensing signal to the processing unit periodically; and the processing unit is used for processing the sensing signal, so that the driving device can adaptively control the turn-on and turn-off of the fan and adaptively regulate the working power of the fan. Based on this, a dynamic intelligent fan driving device without a user's turn-on and turn-off action and based on environmental state sensing is realized.

A load control system may control an electrical load in a space of a building based on one or more parameters regarding the physical condition of an occupant. The parameters may be gathered by one or more sensing devices. The sensing devices may be included in a mobile device. A system controller may receive the parameters and may automatically control the electrical loads in response to the parameters. The system controller may control the electrical load to attempt to adjust the physical condition of the occupant in response to the sensed parameters. The system controller may control the electrical load to provide an alert, an alarm, and/or a warning in response to the sensed parameters.

An artificial intelligence (AI) based apparatus and method for forecasting energy usage receives a request for providing power usage forecasting information of a first period including a current month with respect to an electronic apparatus of a user, divides a use period of the electronic apparatus into first to third sections, loads, from a memory, power actual-use data of a user or a plurality of users during the use period or a predetermined second period before the current month, calculates a daily forecasting weight given a weight based on weather or holiday information of the first period, and generates the power usage forecasting information based on the power actual-use data.

A method for controlling a water heater is provided. The method includes: controlling operation of a blower when a first condition is satisfied; and controlling an air outlet to be partially or fully opened according to a first parameter or a first instruction. Furthermore, a device for controlling a water heater is provided, including a processor and a memory having program instructions stored thereon. When the program instructions are executed, the processor performs the method for controlling the water heater. Moreover, the water heater is provided, including a housing, a blower, an air-out channel, a heating part, and the device for controlling the water heater.

Climate control room includes systems and sensors associated therewith. A further aspect includes programmed software instructions which include obtaining data of a user of the climate control room from the one or more sensors, raising a core body temperature of the user by a predetermined threshold based on the obtained data; and determining whether the core body temperature of the user has been raised by the predetermined threshold for a predetermined time period. The programmed software instructions may also set an ultraviolet light intensity level based on the obtained data.