Design And Application Of Intelligent Energy Management System Based On Edge Computing

In order to solve the problem of massive equipment access management in the power Internet of things,as well as the explosive growth of data storage convergence and processing analysis,it is urgent to interconnect,dispatch and control power information and network data.In view of the problem that the high concentration of resources brings network delay,bandwidth drop affects the timeliness of data and the equipment will lose the monitoring ability offline,the intelligent energy gateway design based on edge computing is proposed.The edge calculation is introduced as the data processing model,and the calculated load pressure of the data processing center is dispersed to the edge side of the device,thus improving the data response speed,and can still be processed locally in the off-line state.By using Docker technology,this thesis constructs information interactive system in intelligent energy gateway,and applies intelligent energy gateway based on edge computing in a commercial building in Changsha.The main contents of this thesis are as follows:Firstly,the adaptability and technical requirements of edge computing in Internet of things application scenarios are analyzed,and the hardware layer with edge computing module,the software layer based on MQTT protocol and the intelligent energy platform for coordination algorithm are designed.Secondly,based on the energy management needs of different users,the corresponding energy metering equipment,sensor equipment,measurement and control terminal equipment,communication management machine and intelligent energy efficiency gateway equipment are installed,and the intelligent energy gateway lightweight converter and terminal are designed.After that,under the information interactive service architecture of edge computing technology and Docker technology,the coordinated optimization algorithm is deployed according to different conditions,and the lighting system and air conditioning system of a commercial building in Changsha are taken as the main objects.Finally,the intelligent energy platform can remotely view and collect the client side energy data(mainly power data),then verify its communication function,AC controller related gateway management function,edge computing function,and compare the bandwidth and delay between the intelligent energy gateway with edge computing and the traditional power gateway.The results show that the gateway with edge computing function has larger bandwidth and shorter delay.