基于多源异构数据融合的线路隐患识别技术及应用研究

Research of techniques and application of transmission hidden danger identification based on multi-source data sharing

研究分析了与输电线路隐患识别相关的数据,在状态特征提取和归一化处理的基础上,以输电线路隐患识别为例,引入D-S证据理论实现多源数据的融合。基于现有的业务系统,搭建了统一的输电全景智慧平台,并在此平台上验证了数据融合识别输电线路隐患的有效性。提出的输电线路隐患识别方法,实现了多源数据的共享与融合,提升了输电线路的隐患识别的准确率,改善了输电线路的运维现状。

This paper analyzes the data related to transmission line hidden danger identification.Based on state feature extraction and normalization,D-S theory was introduced to achieve the fusion of multi-source data taking the identification of hidden dangers in transmission lines as an example.Based on the existing business system,a unified transmission panoramic smart platform had been built.The effectiveness of data fusion on identifying hidden dangers of transmission lines had been verified on this platform.The proposed method for identifying hidden dangers of transmission lines achieved the sharing and fusion of multi-source data,improved the accuracy of hidden danger identification in transmission lines,and enhanced the current operation and maintenance status of transmission lines.