Research on Intelligent Sampling Inspection Platform for Distribution Network Materials

This paper introduces the current status of distribution network material sampling inspection in power grid. Aiming at solving the existing problems, an intelligent sampling inspection platform for distribution network materials is designed. This platform is based on the Internet of Things technology, and a machine learning algorithm, Local Outlier Factor, is employed to quantitative evaluate the inspection reports. This sampling inspection platform designed can greatly improve the efficiency of material inspection and achieve refined sampling inspection.