基于BP神经网络的变电站光纤断点检测研究

Research on Detection of Optical Fiber Breakpoints in Substations Based on BP Neural Network

针对传统光纤断点检测效率低等问题,建立基于BP神经网络的智能变电站光纤通信网络断点模型,把各种类型的光纤断点故障信息储存在检测器中,形成基于BP神经网络的专家检测系统,对光纤链路进行检测。仿真结果表明,该系统能快速、准确地对智能变电站的大型光纤网络进行检测。

In allusion to the low efficiency of traditional detection method of optical fiber breakpoints,an intelligent substation optical fiber communication network breakpoint model based on BP neural network is established,which stores all kinds of optical fiber breakpoints fault information in the detector,and an expert detection system based on BP neural network is formed to detect the optical fiber links. The simulation results show that the system can quickly and accurately detect the large-scale optical fiber network in intelligent substations.