Research on Electrified Wire Netting Equipment Quality Evaluation System of Power Supply Bureau Based on Big Data Analysis

Abstract

In the process of power supply, equipment is often a vulnerable link in the power grid. The reliability and stability of the power grid not only affects the living standards of ordinary people, but also is closely related to the rapid development of the national economy. The selection of power supply network equipment in different regions is different, and it is necessary to select the corresponding model according to the actual situation. At the same time, the quality of equipment is related to the safe and stable operation of the power grid. How to carry out equipment selection is an important issue faced by the power supply bureau. Based on the continuous development of information technology, the arrival of the era of big data has brought new opportunities for the development of electric power enterprises, and also put forward higher requirements for the monitoring parameters of existing equipment. For the selection of power grid equipment, this paper proposes a power grid equipment quality evaluation system based on big data analysis technology. First, it analyzes the actual demand for power equipment status assessment under big data analysis, and secondly, further establishes an equipment risk assessment model. The method introduces theories and tools of mathematical statistics, pattern recognition, etc., which greatly improves the practical application efficiency of power grid equipment in the power supply bureau, and reduces the waste and loss of equipment application. Big data analysis technology provides a solution for the transmission and storage of massive data, which can well meet the needs of power grid equipment quality inspection.