Abstract
High-voltage overhead lines are mostly located in remote regions in China. This monitoring and inspection of overhead line fault diagnosis maintenance work has caused great difficulty. This article has designed a monitoring model for rising of overhead line fault-monitoring in real time. Overhead line is divided into a number of small by the model, each overhead line installed on the testing equipment, the use of GPRS network for remote transmission of these data to detect remote monitoring platform. Remote monitoring platform receives data through an internal Ethernet distribute data to each monitoring station network. Monitoring platform uses neural network theory analysis of the data received and to arrive at a diagnosis and ultimately provide diagnostic results to the relevant maintenance inspection department. The text proves the reliability and validity of the model theoretically.
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