Research on Multi-Level and Multi-Dimensional Early Warning System of Line Loss under the Condition of Improving Real-Time Monitoring of Equipment Operation Status

Abstract

Line loss is one of the key links in the management of power supply enterprises. Line loss rate directly affects the economic benefits of power supply companies. Line loss management explains the management level of a power supply company to a certain extent. This paper proposes a massive data analysis technology based on the integration of business allocation and deployment. In this paper, the key technologies of the power big data platform are used to build a power grid line loss and electricity stealing early warning analysis system to realize the integrated calculation, analysis and display of line loss. By using Hadoop offline distributed computing, Spark in-memory computing and other big data technologies, the author conducts in-depth mining of lines or stations with abnormal line loss rates. This can identify possible electricity theft. The line loss multi-level and multi-dimensional early warning system designed in this paper provides electricity stealing early warning and data support services for the anti-stealing inspection of power supply enterprises.