Intelligent Evaluation Of Operation And Maintenance Quality Of Mountain Power Overhead Lines

Most of the overhead lines of the mountain power system are erected along the mountains,crossing the tree and bamboo forests,and the surrounding tree and bamboo growth defects cause frequent short-circuit faults,resulting in a large number of complaints from customers,reduced user experience satisfaction,and a significant increase in the cost of repairs and repairs,seriously affecting power supply.The company's reputation and sales revenue.In order to improve the customer satisfaction and the power supply benefit of the power supply company,the paper uses the principal component analysis method to extract the three main influencing factors of the operation and maintenance quality of the mountain power overhead line.They are the number of defects in the growth of the tree,respectively.Eliminate the reasonable use of numbers and channel operation and maintenance funds.A prediction model is established for the growth law of the tree,so as to obtain a prediction of the number of defects in the growth of the tree,according to the prediction results,the operation and maintenance funds of the power supply station where the overhead line is located are removed,and the number of defects in the growth of the tree is eliminated,and then the logistic regression model is used.The intelligent evaluation model of the operation and maintenance quality of the overhead line channel is constructed,so that the power supply company can realize the data decision-making mode for the overhead line operation and maintenance,and ensure the zero-fault operation of the power supply line as much as possible.