Intelligent Air Conditioning Energy Saving Control System Based On Human Comfort

With the continuous research and mature applications of the Internet of Things technology in the field of smart home appliances,personalized and comfortable smart appliances design has become the future research direction.People enjoy the cool air conditioning in the hot summer,while more and more people hope that the air conditioner can adaptively adjust the air-conditioning working mode according to the human comfort,which has become the research direction of the new generation of air conditioners.In addition,air conditioning during the peak period of power consumption in summer has become a heavy burden on the city's power supply system,so it is particularly important to control the air conditioning energy.In order to improve the comfort and energy saving of the air conditioning,this paper studies and designs an intelligent air conditioning control system based on the comfort of the human body.It can reduce the energy consumption as much as possible to meet the comfort of the user,provide a more comfortable and energysaving living environment for the users,and alleviate the urban electricity use pressure to a certain extent.In this paper,the research status of air conditioning control technology and the theory of human comfort is investigated.Combined with the technology of Internet of things,the research of this topic is carried out.By analyzing the functional requirements of the system,the overall design of intelligent air conditioning control system based on human comfort and the system framework consisting of intelligent air conditioning control terminal,NB-IoT cloud platform and intelligent air conditioning management and control platform are given.The design ideas of the software and hardware of intelligent air conditioning control terminal with STM32 as the main control chip are described in detail,including data acquisition module,NB-IoT wireless module,infrared control module and so on.Research focused on the human body comfort model based on probabilistic neural network.An intelligent airconditioning management and control platform based on the B/S architecture,SSH framework,and MVC design pattern was designed.The platform includes a human comfort model that uses the collected data for comfort prediction and gives an air-conditioning control strategy.The research includes the communication protocol between the intelligent air conditioning control terminal and the air conditioner,the communication protocol between the intelligent air conditioning control terminal and the NB-IoT cloud platform,and the communication protocol between the NB-IoT cloud platform and the intelligent air conditioning management and control platform.In the system,the NB-IoT cloud platform is the data transfer station,and only provides the data access interface.Finally,the overall control of the intelligent air conditioning control system is carried out.The test results show that the hardware circuit of the intelligent air conditioning control system runs steadily,and the data transmission between the parts is accurate,and the adaptive control of the air conditioner can be realized.The prediction of comfort degree based on probabilistic neural network training comfort model can meet most people's feelings.Under the premise of ensuring the user's comfort,the adaptive control method proposed by this paper is more energy efficient than setting the air-conditioning into a fixed working mode.The research of this paper has realized the goal of reducing air conditioning energy consumption on the premise of keeping the human body comfortable,providing a solution for the new generation of air conditioning research,improving the user comfort experience and realizing the application of NB-IoT technology in the remote control of air conditioning.