The Intelligent quality evaluation system of switchgear based on defect association rules

In view of the strong subjective factors and lack of refined quality ratings in current switchgear acceptance work, this paper proposes a switchgear quality evaluation system based on historical acceptance data. Established a three-dimensional acceptance index system for switchgear appearance size parameters, electrical performance parameters, and mechanical performance parameters. The apriori algorithm is used to mine the historical data of the power grid acceptance switchgear, and the switchgear is dynamically assigned weights based on the correlation results. On this basis, the fuzzy evaluation method is used to evaluate the quality of the switchgear. The system is based on a truck mobile platform, using a robotic arm equipped with multiple sensors to build a switchgear detection platform, and evaluate the quality according to the collected information, and realizes the functions of grading the performance of each dimension and the overall quality of the switchgear.