基于数据挖掘算法的输电线路安全隐患预测方法

Prediction Method of Transmission Line Hidden Danger Based on Data Mining Algorithm

为了解决传统的输电线路安全隐患预测方法的预测不准确、耗时长等问题,提出基于数据挖掘算法的输电线路安全隐患预测方法。使用无人机采集了输电线路隐患影像点云数据,应用数据挖掘算法对输电线路状态进行评估,实现了线路安全隐患预测。实例应用效果表明,设计的安全隐患预测方法能成功地进行隐患预测,且耗时短,有一定的应用价值。

In order to solve the problems of inaccurate and time-consuming prediction of traditional transmission line hidden danger prediction methods,a transmission station line hidden danger prediction method based on data mining algorithm is proposed.The UAV is used to collect the point cloud data of transmission line hidden danger image,and the data mining algorithm is used to evaluate the status of transmission line,so as to realize the line hidden danger prediction.The application effect shows that the designed hidden danger prediction method can successfully predict the hidden danger,which has the advantage of time-saving and has certain application value.