Lean Operation and Maintenance Evaluation Technology of Power Grid Equipment Based on Improved Big Data Cleaning Method

With the extensive application of information acquisition and transmission technology in power system, the extraction of equipment basic data becomes feasible. From the perspective of lean operation and maintenance, this paper systematically combs the scale structure, equipment quality dimension, equipment efficiency dimension and operation and maintenance cost dimension of distribution network equipment assets, and uses correlation analysis and principal component analysis to deeply mine the index data to study the power grid Data relationship of equipment related information. A data stream cleaning method based on sliding window is proposed to detect abnormal data sequence and clean data. The clustering factors are calculated by principal component analysis method, and 55 kinds of data are reduced. Finally, a set of 16 principal component data processing flow of distribution network equipment status is constructed. Finally, the feasibility and effectiveness of the evaluation index system and evaluation method are verified by comprehensive evaluation of the equipment status of a certain distribution network.