基于物联网的变电设备故障诊断研究

Research on fault diagnosis of substation equipment based on Internet of things

针对当前物联网技术的不断发展,加快物联网技术在电力故障诊断方面的应用,成为了当前电力部门思考的重点。对此,文章结合物联网技术的概念和物联网技术的特点,提出一种基于物联网的变电设备故障诊断系统。利用物理网架构,提出将诊断系统的架构分为采集层、通信层和处理层三个部门。同时根据采集中面临的不同数据信息,在分析不同信息类别的前提下,引入模糊理论对信息进行融合诊断。根据上述的模型,文章首先采用隶属函数对故障信息进预处理;然后采用层次分析法构建模糊变化矩阵,完成对局部信息的融合;借助D-S证据理论,完成对局部信息融合的综合诊断,最终实现对变电设备故障的诊断。最后,以试验验证的方式,验证上述方法在多信息情况下,对故障诊断融合的可行性和准确性,为电力物联网的深入应用提供了参考和借鉴。

In view of the current development of Internet of things,accelerating the application of Internet of things technology in power fault diagnosis has become the focus of the current power sector.Based on the concept of Internet of things and the characteristics of the Internet of things,a fault diagnosis system based on the Internet of things is proposed in this paper.Based on the physical network architecture,the architecture of the diagnosis system is divided into three departments： the acquisition layer,the communication layer and the processing layer.At the same time,according to the different data information in the collection,on the premise of analyzing different information categories,fuzzy theory is introduced to the fusion diagnosis of information. According to the model,this paper first uses the membership function of the fault information preprocessing; then we use AHP method to construct fuzzy matrix,complete fusion of local information; using D-S evidence theory,the completion of the comprehensive diagnosis of local information fusion,the final realization of the substation equipment fault diagnosis. Finally,itverifies the feasibility and accuracy of the above methods in the case of multiple information,and provides reference for the in-depth application of power Internet of things.