Research on Power Security Management and Control System Based on Big Data Algorithm and Internet of Things Technology

Safety has always been the eternal theme of power grid construction and development. State Grid Corporation always puts safety in production at the top of all its work. In order to adapt to the promotion of national economy and the development of State Grid Corporation, it is necessary to ensure the safe and stable operation of the national power supply system and reliable power supply for the people. How to implement effective management and control, achieve comprehensive coverage of production site safety supervision in the jurisdiction and its subordinate jurisdictions, avoid supervision blind spots, and realize remote supervision anytime and anywhere is a problem worthy of discussion. In this paper, the simulation data show that the safety management system designed in this paper has a lower risk coefficient of field operation than the initial system, which can effectively ensure the safety of field workers and instruments. There are inherent disadvantages such as poor global coordination, lack of active early warning, and lag of system fusion data. It has obvious advantages in stability, autonomy of management and control, accuracy of early warning, and intelligence of operation and maintenance in extreme environments. Through big data algorithm and Internet of Things technology, the differentiated power safety management and control needs of power companies can be met, which has good popularization and application value.