Intelligent Detection Method for Abnormal Path of High Voltage Transmission Lines Considering Geological Disaster Risk

In response to the problem of high-voltage transmission lines being affected by geological disaster risks, this paper proposes an intelligent detection method for abnormal paths of high-voltage transmission lines that considers geological disaster risks. Firstly, by conducting a geological hazard risk assessment, potential risk areas are identified, and relevant data is obtained through geological information collection technology. Secondly, using neural network algorithms to design an anomaly detection model, in order to identify abnormal situations on the line path. The experimental results show that compared with traditional methods, this method has advantages in anomaly detection, with a detection accuracy of over 95%. The planning cost of high-voltage transmission lines does not exceed 400000 yuan, and the shortest anomaly detection time can be 10.8 seconds, achieving better detection results.