Big Data-Based Dynamic Decision-Making Algorithm for Power Enterprise Operation Risk Management

In the 21st century, with the continuous development of science and technology in our country, the explosive growth of data, big data has become an important resource acquisition channel at home and abroad with its massive data resources. De-importance can not only help small shops, but also The level of economic management of government organizations has spawned many unprecedented business models, which are more capable of promoting and promoting the sustainable development of our country's economy. For our country's power companies, each node such as the distribution network will generate massive amounts of data, and these cumbersome data in the past are now becoming a rare asset for the company. In the era of big data, the data generated by electricity can bring earth-shaking changes to enterprises. With the in-depth reform of all aspects of power companies, power companies in various places can only maintain a firm position in corporate competition if they closely follow the trend of big data, with lower costs, higher efficiency, and better power quality. Using the core technology of big data to seamlessly integrate it with enterprise risk management and realize the top-down application of big data mining and other information technologies within the enterprise will be an important way to build an information enterprise in an all-round way. Making full use of information technology in power production and management and actively promoting the application of big data in the power system will help improve the level of refined operation and management of power companies at all levels, improve operational efficiency, and promote the transformation and development of enterprises. The purpose of this paper is to research on the dynamic decision-making algorithm of power enterprise's operational risk management based on big data. In this paper, through in-depth research on big data, analyzing the current big data mining technology and combining with the operating enviro nment of electric power enterprises in our society, this paper discusses the dynamic decision-making algorithm of electric power enterprise operating risk management under big data. This article will take the management of electric power enterprises under big data as the research object, and conduct research and analysis through literature method, questionnaire survey method and mathematical statistics method. Studies have shown that some small probability of unqualified power equipment is put into the production and operation of the power industry, which has a great negative effect on the management and control of equipment risks, and the probability of accidents is greatly increased.