灰色关联度算法模型的电力施工现场异常诊断  

Diagnosis of Power Construction Site Abnormity Based on Grey Correlation Algorithm Model

作　　者：王振伟 凡远柱 杜增 刘美丽[3] 黄贝 WANG Zhenwei;FAN Yuanzhu;DU Zeng;LIU Meili;HUANG Bei(State Grid Anhui Electric Power Company,Hefei 230000,China;Anhui Nanrui Jiyuan Electricity Grid Technical Co.,Ltd.,Hefei 230000,China;Anhui Electric Power Engineering Quality Supervision Center,Hefei 230000,China)

机构地区：[1]国网安徽省电力有限公司,安徽合肥230000 [2]安徽南瑞继远电网技术有限公司,安徽合肥230000 [3]安徽省电力工程质量监督中心站,安徽合肥230000

出　　处：《微型电脑应用》2023年第7期89-93,共5页Microcomputer Applications

摘　　要：电力施工作业过程中经常出现各种问题,如何提高电力施工现场异常现象监控就成为要解决的技术问题。设计一套电力施工作业故障诊断方案,与常规技术不同,这种方案采用微观数据处理的办法实现宏观事务的分析与计算,通过行波定位模块实现故障位置定位,通过灰色关联度算法模型实现异常事故信息评估。通过实验,本研究的方法数据采集量大、故障定位能力强,提高了电力施工作业故障诊断能力。Various problems often appear in the process of power construction operations.How to improve the monitoring of abnormal phenomena at the power construction site has become a technical problem to be solved.The technical scheme adopted is to design a set of fault diagnosis schemes for electric power construction operations.Unlike conventional techniques,this research uses micro data processing method to realize the analysis and calculation of macro affairs,and realizes fault location positioning through the traveling wave positioning module and gray correlation.The degree algorithm model realizes the evaluation of abnormal accident information.Through experiments,the method of this study has a large amount of data collection and strong fault location ability,which improves the fault diagnosis ability of electric power construction operations.

关 键 词：电力施工作业 行波定位模块 故障诊断 灰色关联度 算法模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]