Study on the Application of Big Data Technology in the Management of Electric Power Safety Production
Qian Gao, Yongxin Miao, Zhengdao Liu · 2024
With the rapid development of the power industry and the continuous growth of power demand, power production safety management has become a key link to ensure the stable operation of the power system and safeguard people's lives and property. In the face of the increasingly complex power system and changing operating environment, the traditional production safety management has been difficult to meet the needs of the modern power industry. Therefore, based on big data technology, this paper conducts an in-depth study on the application of electric power production safety management, aiming to improve the efficiency and reliability of electric power production safety management through a data-driven approach. By collecting, analyzing and applying big data in the electric power industry, it discusses how to use big data technology to improve the efficiency and reliability of electric power safety production management. At the same time, the specific applications of big data in various aspects of electric power production safety management, including risk assessment, early warning monitoring, and decision support, are discussed in the context of practical cases, and relevant management methods and technical means are proposed.