电力通信光纤线路状态自动化监测系统设计

Design of automatic monitoring system for power communication optical fiber line status

以提升光纤线路故障监测精准度和监测效率为目的,设计电力通信光纤线路状态自动化监测系统。系统的数据预处理模块,采用改进神经网络从中心数据库中提取光纤线路的故障特征向量;光纤线路在线监测模块将提取到的故障特征向量作为BP神经网络的输入,实现光纤线路的故障监测;并将故障监测结果传送至光纤线路状态预警模块,经分析过滤后,在光终端机上形成故障预警;通过结果展示模块展示光纤线路监测结果和预警结果,并生成抢修建议及方案,实现光纤线路状态自动化监测。实验结果证明:该系统的故障位置定位误差小,误差最大值仅为0.005 km;抗干扰性能强;光纤线路的监测准确率及效率高;具备较好的用户使用满意度。

In order to improve the accuracy and efficiency of optical fiber line fault monitoring,an automatic monitoring system for power communication optical fiber line status is designed. The data preprocessing module of the system uses the improved neural network to extract the fault feature vector of the optical fiber line from the central database;the optical fiber line online monitoring module takes the extracted fault feature vector as the input of BP neural network to realize the fault monitoring of the optical fiber line;and the fault monitoring results are transmitted to the optical fiber line state early warning module,after analysis and filtering,the fault feature vector is extracted from the central database Through the result display module,the monitoring results and early warning results of optical fiber line are displayed,and emergency repair suggestions and schemes are generated to realize the automatic monitoring of optical fiber line status. The experimental results show that: the fault location error of the system is small;the maximum error is only 0. 005 km;the anti-interference performance is strong;the monitoring accuracy and efficiency of optical fiber lines are high;and the user satisfaction is good.