微型电脑应用2023，Vol.39Issue(11)：51-54,59,5.
基于多源数据融合技术的输电线路安全监控研究
Research on Transmission Line Safety Monitoring Based on Multi-source Data Fusion Technology
摘要
Abstract
The environment around the transmission line is complex.For the purpose of ensuring the safety of the transmission line and preventing transmission line faults,the transmission line safety monitoring method based on multi-source data fusion technology is studied.Different types of sensors are set at the transmission line monitoring points,and the distributed multi-point measurement method is adopted to obtain the transmission line monitoring data.The data collected by similar sensors are divided into two parts,adaptive weighted fusion is implemented for each data,weighted fusion algorithm is used to implement one-level weighted fusion for similar sensor data,and BP neural network is used to fuse the first level data fusion results.After determining the numbers of nodes and functions of input layer,hidden layer and output layer,the global fusion results are ob-tained through data training,and the safety status of transmission lines is output.The experimental results show that this method can obtain the optimal monitoring results and significantly reduce the transmission line fault rate when the weighting factor is 0.3 and the number of hidden layer nodes is 6.关键词
多源数据融合/输电线路/安全监控/监测数据/加权融合/BP神经网络Key words
multi-source data fusion/transmission line/safety monitoring/monitoring data/weighted fusion/BP neural net-work分类
动力与电气工程引用本文复制引用
李敏,田源,王大鹏,王明达,王蔚..基于多源数据融合技术的输电线路安全监控研究[J].微型电脑应用,2023,39(11):51-54,59,5.基金项目
国网山东省电力公司(520618210002) （520618210002）
