Monitoring Analysis Of Lishui Electric Power Operation Based On Big Data

State Grid Corporation of China generated a large number of operational data and accumulated a large amount of business information in the operational process.With the sustainable development of the company's business activities and information technology,a variety of data grew rapidly.In the face of the ocean of data,how to make data value mining achieve the transformation from “looking for a needle in the ocean” into “shooting the arrow at the target” is a major issue faced by us.Data is the precious wealth for power companies.Through the “big data” technology,the paper makes an in-depth study on the various specialties of power companies,and uses data to mine customer's power utilization behavior,load influencing factors,hidden trouble of power equipment,material supply problems and other fields,so as to exert the maximum value of data.Based on the company's relatively perfect information system,the paper deeply mines the value of data by means of online data monitoring and analysis.Relying on the in-depth participation and closed-loop collaboration of professional departments at all levels,the paper carries out practical verification and application of data analysis.Through a series of data analysis directions,methods and specific cases,the paper provides support for the company's leaders to make decisions.Through the monitoring analysis of the customer's characteristics of power consumption behavior,this topic is of great significance for the company to further do a good job in safety production,power grid planning and high-quality service.The data of this topic is mainly derived from the power marketing business application system,electricity information collection system and 95598 system.The paper applies tableau and other big data analysis software,and uses the analysis methods of cluster analysis,distribution analysis,trend analysis,attribution analysis and correlation analysis.