Design And Implementation Of Electrical Gateway System Based On Edge Computing

At present,power grid data is mainly stored,processed and applied in a remote and centralized way through cloud computing model,but the high concentration of resources also brings corresponding problems.On the one hand,network delay will greatly affect the timeliness of data;On the other hand,once a disconnect occurs,the cloud center will lose the ability to monitor the device.In order to improve the existing problems of cloud computing model,edge computing is introduced as a data processing model.The edge computing model transfers the computing load of the cloud center to the device side,improves the real-time response of the system to the data and reduces the system's dependence on the network.In this paper,computing services are built in the gateway through Docker virtualization technology,and power gateway based on edge computing is designed and implemented.The main work contents are as follows:(1)Analyze the application occasions and technical requirements of edge computing in the power industry,and design the gateway system based on edge computing.The implementation method is divided into three parts:the design and implementation of the universal gateway service,the realization of the earthing switch status recognition algorithm,and the design and implementation of the cloud collaboration and monitoring platform,and the follow-up work is carried out based on this idea.(2)Build a general service based on microservice architecture based on Python language and Docker virtualization technology,and implement an application interaction architecture based on MQTT protocol,which strengthens the orderliness of Docker application interaction and the expansion of microservice architecture,and is conducive to the subsequent deployment algorithm.(3)Combining image recognition technology and Docker virtualization technology to realize the algorithm of ground switch splitting and closing state identification,and realize the application of edge computing technology in the power industry.At the same time,a method of shielding removal based on hough line detection is implemented to enhance the robustness of the algorithm.(4)Cloud collaboration is realized and a visual monitoring platform is built.The remote connection of gateway,data interaction and online algorithm upgrade can be realized through this platform,and cooperation between edge nodes and cloud platform is strengthened.