输电线路在线监测系统的设计与实现

Design and Implementation of Online Monitoring System for Overhead Transmission Line

阐述为提升极端环境下架空输电线路在线监测系统的监控精度和系统的预警能力,设立一种三层网络框架结构下的架空输电线路舞动在线监测系统,并融合遗传BP神经网络实现对导线舞动的预警。系统由舞动监测装置、通信主机系统和上位机系统3部分组成,采用ADIS16365惯性传感器采集数据,由ZigZee技术进行数据通信,并通过上位机内嵌遗传BP神经网络算法进行数据分析和舞动预警。算法以环境参数和实际线路舞动为输出组构成训练集,由遗传算法来实现对网络节点的优化。

In order to improve the monitoring accuracy and ability of overhead transmission line early warning capability in extreme environment, an online monitoring system under three-layer network framework structure is set up, and genetic BP neural network is integrated to realize the early warning of wire dancing.The system consists of three parts: dance monitoring device, communication host system and upper computer system. It collects data with ADIS16365 inertial sensor, data communication by ZigZee technology, and data analysis and dance warning through the embedded genetic BP neural network algorithm.The algorithm takes environmental parameters and actual line dancing as the output group and forms the training set. The genetic algorithm realizes the optimization of the network nodes,improves the generalization ability of the neural network.