Design And Application Of Central Air Conditioning Monitoring System Of Office Building Based On Cloud Platform

In public buildings,central air conditioning system plays an extremely important role.It regulates indoor temperature and creates a comfortable indoor environment for people.However,the proportion of its energy consumption in the total building energy consumption has also been high.With the rapid development and application of digital technologies such as cloud platform,Internet of things,big data and artificial intelligence,a steady stream of development vitality has been injected into the field of building equipment monitoring.Based on cloud technology,Internet of things technology and three-dimensional simulation technology,this thesis studies the design and application of the central air conditioning monitoring system of office buildings.The main contents include the overall architecture design of the system platform,the construction of cloud side framework,the realization of cloud side communication,database design,the realization of three-dimensional model,the development of cloud software interface,the design and application of control strategy,etc.The specific work is as follows:Firstly,this thesis expounds the research background and significance of the design and application of central air conditioning monitoring system in office buildings,summarizes the research status of central air conditioning monitoring system,cloud platform technology and three-dimensional simulation modeling at home and abroad,and briefly describes the chapter structure and content arrangement of this thesis.Secondly,it analyzes the functional requirements of the central air conditioning monitoring system of office buildings,puts forward the overall architecture of the central air conditioning system platform based on cloud platform,and designs the platform scheme,including the system cloud architecture,cloud edge communication architecture and cloud function design,so as to lay a solid foundation for the realization of the central air conditioning monitoring system.Thirdly,according to the types of office buildings and central air conditioning,the cloud database system is designed,including E-R model,data table structure,user permission setting,etc.to realize data access and reliable access on demand and ensure the security of data.On this basis,a terminal equipment data monitoring and control system with edge control node as the core is designed;The mqtt proxy server is used as the communication bridge between the cloud and the edge node,and the data interaction of each device terminal,edge control node and user terminal in the system is realized in the "publish subscribe" mode;Nat penetration technology is applied to break the closure of some local area networks,realize internal and external network data communication,and provide database support for cloud platform software.Then,the central air conditioning monitoring system software of office building is designed and developed.According to the design drawings,the three-dimensional simulation modeling of office building physical structure,multi on-line air conditioning system physical installation and water-cooled air conditioning system is carried out.Through the design of scene level control response,interactive actions such as rotation,amplification,focusing,floor expansion,single floor pop-up,equipment highlight,equipment parameter pop-up and fault alarm animation are added to the three-dimensional simulation model,and the cloud interactive interface based on the three-dimensional simulation model is developed,It integrates the functions of information monitoring,equipment control,data display and system management to provide platform support for the application of central air conditioning system.Finally,the central air conditioning monitoring system of office building is applied.In order to reduce energy consumption and improve comfort,a central air conditioning control strategy based on PMV index is proposed,which runs in edge nodes.In the data processing and application,the relevant data of air conditioning monitoring are processed and analyzed,the BP neural network model is used to predict the relevant data,and the prediction analysis display interface is designed and implemented to verify the feasibility of the control scheme and the application effect of the overall operation of the system cloud platform.