The invention discloses a regulating system and method for multilayer shading film of plastic greenhouse with adjustable shading rate. The upper film of the sunshade is a fully transparent film, while the middle film and the lower film are printed with dots, which are interlaced. Through the measurement and comparison of the warm light in the greenhouse, the combined control of the sunshade film is realized. Not only can it adjust its light blocking rate, but it also has a heat insulating effect when there is a certain amount of air in the film.

Systems and methods including a container assembly configured to maintain a controlled environment for storing a product therein are disclosed. Controlled environmental parameters may include at least one of the following: temperature, humidity, payload moisture content, solar radiation, magnetism, microwave, or light illumination. In certain implementations, the system includes a payload chamber and a self-contained lid-integrated environmental control unit (ECU) that may be coupled to the payload chamber using a substantially airtight seal. In certain embodiments, the ECU may include a condenser, a humidity controller, a liquid tank and a power source. Certain embodiments may include a warmer, temperature and/or humidity sensors, and/or a lock. Various combinations of the foregoing components and features may be incorporated, depending on the requirements of each particular implementation.

Controlled appliance and method for controlling interactions between the controlled appliance and a remote control device. The controlled appliance comprises a BLE interface and an actuation module. The controlled appliance sets the BLE interface in a scanning mode where the BLE interface is capable of receiving BLE signals from other devices. The controlled appliance receives, via the BLE interface, a BLE advertising signal from the remote control device. The controlled appliance establishes a connection between the controlled appliance and the remote control device through the BLE interface. The controlled appliance exchanges data with the remote control device via the BLE interface. Upon reception from the remote control device via the BLE interface of a command for controlling operations of the actuation module, the controlled appliance applies the command to the actuation module.

A computer-implemented method for estimating the energy required for temperature control in a building. The method comprising a training phase on data from a plurality of buildings, adaptation phase to a target building, and estimation phase. The training phase comprises calculating a parameter k which summarizes the thermal characteristics of the building. Subsequently a computer based grey box model is trained with input data comprising the parameter k, indoor conditions, outdoor conditions, and energy consumed for each building. In the adaptation phase similar process is utilized for calculating the target building's the characteristic parameter k. In the estimating phase, the energy for temperature control is estimated based on the parameter k of the target building, indoor conditions, and outdoor conditions by using the computer trained mathematical model of the training phase. The temperature values used may comprise: measured or settings of indoor temperature, and measured or forecasted outdoor temperature.

A precooling operation/preheating operation control apparatus includes: an air conditioner, a ventilation apparatus, and a controller. The air conditioner performs heat exchange between air in a target space for precooling or preheating and a heat medium. The ventilation apparatus replaces part of the air in the target space with outside air that is air outside a building. The controller determines, on the basis of a set temperature of the target space at a designated time and a quantity related to an outside air temperature, operation details of the air conditioner and operation details of the ventilation apparatus during a precooling operation or preheating operation.

The present disclosure provides a heating, ventilation, and air conditioning (HVAC) system including interconnected artificial neural networks trained for respective subsystems that are required for building temperature control. The HVAC system includes: an air conditioning sensor units installed in or outside a building to detect environmental data; an HVAC device configured to supply thermal energy into an inner space of the building using input power; and a predictive controller configured to generate operational data based on the environmental data and control the HVAC device by adjusting the input power.

Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

A management device estimates an air temperature inside a data collection apparatus as an estimated air temperature, based on operation data received from an air conditioner and meteorological data received from a server via a communication device. When the estimated air temperature is higher than an operable temperature of the communication device, the management device performs control to decrease the air temperature inside the data collection apparatus. When a ventilation-in-progress air temperature is higher than the operable temperature of the communication device, the management device transmits to a breaker device a command to stop the communication device, thereby decreasing the air temperature inside the data collection apparatus. When the ventilation-in-progress air temperature is lower than or equal to the operable temperature of the communication device, the management device transmits to the breaker device a command to run the ventilation device, thereby decreasing the air temperature inside the data collection apparatus.

An intelligent control system for an electric curtain is provided. The intelligent control system includes a control apparatus, a monitoring apparatus, a sensing apparatus, a curtain apparatus, a lighting apparatus, and an air conditioning apparatus. The control apparatus is correspondingly coupled to the monitoring apparatus, the sensing apparatus, the curtain apparatus, the lighting apparatus, and the air conditioning apparatus. The monitoring apparatus is able to capture interior images, the sensing apparatus is able to sense exterior illuminance, and the control apparatus is configured to determine an opening degree of the curtain apparatus, illumination brightness of the lighting apparatus, and an air conditioning setting of the air conditioning apparatus by comparing different interior illuminance values, which are obtained from the interior images captured by the monitoring apparatus at different levels of interior illuminance, with an exterior illuminance value sensed by the sensing apparatus.

A smart thermostat for controlling the ambient air temperature in a first area when the smart thermostat is located in a second area. One or more desired setpoint temperatures are changed automatically by the smart thermostat based on one or more setpoint modification factors, such as the time of day, current season, location, orientation and present and future weather conditions.