Intelligent Algorithm Operation and Data Management of Electromechanical Engineering Power Communication Network based on the Internet of Things

Abstract

With the rapid development and gradual popularization of Internet of Things technology, it is necessary to provide necessary Operation and Maintenance (O&M) services and data control for electromechanical engineering to maintain the normal function of the power system. This paper does the following research to carry out orderly and standardized management of related communication resources in power communication networks, conduct closed-loop and process-oriented management of communication O&M work, and ensure the safe, stable, and economical operation of power grids in electromechanical engineering. Firstly, the technology selection, algorithm implementation, solutions, and other related technologies that may be used in the platform design and implementation process are introduced and selected. Secondly, the research and call logic of the design and implementation of related algorithms for intelligent O&M are introduced. It includes the design and implementation of anomaly detection algorithms to monitor equipment health status and the design and construction of fault diagnosis algorithms for abnormal analysis. Finally, the simulation experiment of the proposed processing scheme is carried out on the Mininet simulation network to prove that the proposed scheme can provide a better anonymization effect when introducing low latency. The results show that the design of the gateway system realizes the module applications of the system, such as user, data storage, O&M, and fault management. Based on the technical selection, the algorithm is implemented and optimized, and the call logic of the algorithm is implemented in the O&M module. Simulation verifies that the anonymization algorithm can complete the mapping without introducing an additional delay of more than 3%.