Optimization of Power Equipment Operation and Inspection Based on Big Data Technology

Abstract

The advancement of big data technology, coupled with the development of smart grids and the rapid expansion of grid scales, has introduced significant challenges in the operation, maintenance, and efficient management of power equipment. This paper addresses these challenges by examining current issues in equipment operation and inspection management and proposing a solution through the application of big data analysis techniques. It explores how big data technology can be utilized to thoroughly mine, analyze, and uncover relationships, causal connections, and other valuable insights within the data. This analysis aims to provide a dependable reference for improving production operations, equipment investment planning, maintenance personnel allocation, and maintenance scheduling. Consequently, it enhances the overall management level of equipment operation and maintenance.