The Research On System Control Methord Based On The CPS In Building Intelligent

The conception of Cyber-Physical Systems(CPS) was put forth, it set off the third wave of information technology in the world. Cyber-Physical Systems(CPS) inheritance and develop computing, communications and control technologies. It fusions these Science and technology in one fully. It eventually achieve real-time monitoring information system in the operating state of the physical world at the same time, the physical world can make use of information systems to detect environmental factors regulating control. Through the feedback loop and the interpenetration of the physical world and information systems,it achieve a safe, reliable, efficient and real-time control. There is a very high degree of fit between the technical features of CPS and the building intelligent system. Thus, the concept of CPS is introduced to the field of intelligent building, which has a very important significance in the study of building intelligent system control methods.The main purpose of this study is under the guidance of the concept of CPS, based on the temperature and humidity environment for intelligent building research background, improving the structure of the intelligent building control system to optimize the system control method. The main contents are as follows:The first part is research on the characteristics and key technologies of the Cyber-Physical Systems(CPS). Refering to its application in the field of intelligent transportation, smart grid, intelligent medical, etc. Investigation on the present situation of the development of intelligent buildings, looking for CPS technology in the field of intelligent building application entry point, and as a key research direction, to start exploratory study of theory and practical applications.The second part is from the point of view of system control, the controlled object is analyzed, and the control model is discussed. A multi-level control system of intelligent building with coordination controller and controller is established based on the characteristics of building intelligent system. Thus optimizing the control performance of building intelligent system.The third part is a radial basis function(RBF) neural network predictive control method is proposed for building intelligent systems which is not easy to establish accurate control model. The temperature and humidity environment control model of intelligent building is built, and the indoor temperature and relative humidity are the main reference environment. Through the weed optimization algorithm to optimize the RBF neural network hidden layer node center, improve the OLS algorithm in the past, the shortcomings, and then simplify the network structure.The fourth part is from the perspective of intelligent building comfort, based on the theory of Cyber-Physicial systems(CPS), the temperature and humidity environment in intelligent building is chosen as the research background. Select the Cortex-M3 STM32 core ARM series microcontroller as the core processor, OMRON E6A2-CW3 C 500 linear dual phase incremental encoder and DHT11 temperature and humidity sensor and other important devices to build a hardware and software simulation platform. To the human body heat comfort value PMV as the evaluation standard, through the temperature, humidity and relative wind speed and other environmental factors to adjust, to achieve satisfactory results for the human body. And then verify the feasibility and correctness of the Cyber-Physicial systems(CPS) in the field of intelligent building.The fifth part of this paper Summarize the work,research results of this paper and deficiency, and looking forward to the next step of the research work.