电能量采集系统远程抄表的故障判别与分析
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摘要
随着智能电网战略的实施,自动化远程抄表技术全面应用,利用计算机技术、各类自动化装置以及现代通信网络组成电能量采集系统。和传统抄表作业相比,具有降低人力成本,提供数据准确性等优点,但同时也带来由自动化设备网络故障引起的缺陷,影响采集数据的及时性、完整性,又投入大量人力进行故障分析消缺。为此,通过研究分析电能量采集现有的数据信息,梳理故障现象与之相应关系,对故障进行自动分析和判别,指导运维人员针对性消缺,达到提高消缺效率的目的,进而提升电能量采集系统可靠性。
With the implementation of smart grid strategy,automatic remote meter reading technology has been comprehensively applied,where an electrical energy collection system has been formed by using computer technology,various automation devices and modern communication network.Compared with traditional meter reading operations,it has the advantages of reduced labor costs and accurate data,but at the same time,it also brings defects caused by network faults of automation equipment,which affects the timeliness and integrity of data collection,and requires a large number of human resources for fault analysis and elimination.Therefore,by studying and analyzing the existing data information of electrical energy collection,sorting out the corresponding relationship with fault phenomena,automatic analysis and identification are carried out to guide operation and maintenance personnel to eliminate defects in a targeted way,so as to improve the efficiency of eliminating defects and thus improve the reliability of electrical energy collection system.
With the implementation of smart grid strategy,automatic remote meter reading technology has been comprehensively applied,where an electrical energy collection system has been formed by using computer technology,various automation devices and modern communication network.Compared with traditional meter reading operations,it has the advantages of reduced labor costs and accurate data,but at the same time,it also brings defects caused by network faults of automation equipment,which affects the timeliness and integrity of data collection,and requires a large number of human resources for fault analysis and elimination.Therefore,by studying and analyzing the existing data information of electrical energy collection,sorting out the corresponding relationship with fault phenomena,automatic analysis and identification are carried out to guide operation and maintenance personnel to eliminate defects in a targeted way,so as to improve the efficiency of eliminating defects and thus improve the reliability of electrical energy collection system.
引文
[1]张秋雁.低压电力集中抄表新技术及工程应用[M].北京:中国电力出版社,2017.
[2]陕西省电力公司,陕西电力职工培训中心.电力远程集中抄表系统建设与应用[M].北京:中国电力出版社,2009.
[3]颜楠楠,徐楠,雷兴,等.电力大数据解读及其在检修中的应用[J].上海电力,2017,30(4):33-36.YAN Nannan,XU Nan,LEI Xing,et al.Power big data interpretation and application in maintenance[J].Shanghai Electric Power,2017,30(4):33-36.
[2]陕西省电力公司,陕西电力职工培训中心.电力远程集中抄表系统建设与应用[M].北京:中国电力出版社,2009.
[3]颜楠楠,徐楠,雷兴,等.电力大数据解读及其在检修中的应用[J].上海电力,2017,30(4):33-36.YAN Nannan,XU Nan,LEI Xing,et al.Power big data interpretation and application in maintenance[J].Shanghai Electric Power,2017,30(4):33-36.