电能计量设备全性能智能检测系统设计与建设

doi:10.3969/j.issn.1000-1158.2020.Z1.28

摘要
图/表
参考文献(17)
相关文章 (15)

全文: PDF (1815 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要针对电能计量设备全性能试验检测项目多、检测周期长等问题,研究了兼容五种电能计量设备的柔性检测技术。基于一条流水线,智能调度功能、准确度、电气性能、绝缘、电磁兼容、机械性能、全事件7大类、100余项试验。用标准化的自动操作代替了人工操作,提升了检测的一致性、规范性和可靠性。攻克了闪络、放电、死机、重启等试验异常现象的自动快速捕捉和甄别等技术难题。实时监测诊断系统设备的运行状态,即时预警异常或故障。实现了试验结果的自动存储和规范处理,以及不合格项的智能判定。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	巨汉基
	丁恒春
	祝恩国
	韩迪
	王贵现
	崔文武
	王晨

关键词 ：计量学, 柔性检测, 电磁兼容, 全性能试验, 异常现象捕捉, 故障预警

Abstract：Aiming at the problems of large number of items and long testing period in the full performance test of electric energy metering equipment, the flexible testing technology compatible with five kinds of electric energy metering equipment is studied. Based on a pipeline, 7 categories, more than 100 items are intelligent scheduled, including function, accuracy, electrical performance, insulation, electromagnetic compatibility, mechanical performance, full event. Instead of manual operation, standardized automatic operation improves the consistency, standardization and reliability of detection. Some technical problems of automatic and rapid catching of test abnormal phenomena are overcome, such as flashover, discharge, crash, restart. The operation status of the system equipment are real time monitored and diagnosed. The abnormalities or failures are real time warned. The automatic storage and standard processing of test results, as well as the intelligent judgment of unqualified items are realized.

Key words： metrology flexible testing electromagnetic compatibility full performance test abnormal phenomenon capture fault warning

PACS:

TB93

基金资助:国网冀北电力有限公司科技项目(52018K15000C)

作者简介: 巨汉基(1982-),男,山东青岛人,国网冀北电力有限公司营销服务中心(计量中心)高级工程师,从事电磁兼容、智能电能表和用电信息采集设备质量检测和评价技术研究。Email: juhanji@163.com

引用本文:

巨汉基,丁恒春,祝恩国,韩迪,王贵现,崔文武,王晨. 电能计量设备全性能智能检测系统设计与建设[J]. 计量学报, 2020, 41(12A): 155-161.
JU Han-ji,DING Heng-chun,ZHU En-guo,HAN Di,WANG Gui-xian,CUI Wen-wu1,WANG Chen. Design and Construction of Full Performance Intelligent Testing System for Electric Energy Metering Equipment. Acta Metrologica Sinica, 2020, 41(12A): 155-161.

链接本文:

http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2020.Z1.28 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2020/V41/I12A/155

［1］徐人恒, 曲井致, 李迪星, 等. 智能电能表全寿命周期管理系统的研究［J］. 电测与仪表, 2017, 54(1): 67-70.
Xu R H, Qu J Z, Li D X, et al. Ｒesearch on the full life cycle management system of smart meters［J］. Electrical Measurement＆Instrumentation, 2017, 54(1): 67-70.
［2］韩霄汉, 黄金娟, 孙钢. 智能电能表库在计量精益化管理中的应用［J］. 浙江电力, 2016, 35(11): 10-13.
Han X H, Huang J J, Sun G. Application of smart meter library in lean metering management［J］. Zhejiang Electric Power, 2016, 35(11): 10-13.
［3］郑安刚, 徐英辉, 尚怀嬴, 等. 智能电能表全生命周期质量管控体系与计量和信息化现状分析［J］. 中国计量, 2019(8): 98-102.
Zheng A G, Xu Y H, Shang H Y, et al. Analysis on the quality control system of the whole life cycle of intelligent electricity meters and the current situation of measurement and informatization［J］. China Metrology, 2019(8): 98-102.
［4］白静芬, 卢达, 徐励, 等. 智能电能表自动化检定流水线的温度参比条件影响分析［J］. 电测与仪表, 2020, 57(11): 121-126.
Bai J F, Lu D, Xu L, et al. Analysis of temperature condition influence of automatic calibrating conveyor line in smart electricity meter［J］. Electrical Measurement ＆ Instrumentation, 2020, 57(11): 121-126.
［5］杨德超, 杨旭, 李钊, 等. 电能计量装置计量准确性影响因素分析［J］. 智能电网, 2015, 3(2): 157-163.
Yang D C, Yang X, Li Z, et al. Analysis of influence factors for metering accuracy of electric energy metering device［J］. Smart Grid, 2015, 3(2): 157-163.
［6］王皓, 魏彤佳, 张威, 等. 智能电能表自动测试系统的设计［J］. 信息技术, 2019, 43(11): 145-150.
Wang H, Wei T J, Zhang W, et al. Design of automatic test system for intelligent electricity meter［J］. Information Technology, 2019, 43(11): 145-150.
［7］熊德智, 陈向群, 胡军华, 等. 电能表全自动柔性检定系统关键技术研究［J］. 电测与仪表, 2016, 53(18): 41-44.
Xiong D Z, Chen X Q, Hu J H, et al. Key techniques study on Watt-hour meter full-automatic flexible verification system［J］. Electrical measurement ＆ Instrumentation, 2016, 53(18): 41-44.
［8］苏慧玲, 王忠东, 蔡奇新, 等. 大规模智能电能表自动化检定的关键技术［J］. 中国电力, 2016, 49(6): 126-131.
Su H L, Wang Z D, Cai Q X, et al. Key technologies of large-scale automatic test of smart meters［J］. Electric Power, 2016, 49(6): 126-131.
［9］王舒憬, 陈凯. 基于图像处理的智能电能表显示缺陷自动检测系统设计［J］. 电测与仪表, 2016, 53(4): 63-68.
Wang S J, Chen K. Design of automatic detection system for display defects of intelligent electricity meters based on image processing［J］. Electrical Measurement & Instrumention, 2016, 53(4): 63-68.
［10］陈驰. 基于用电信息采集系统的运行电能表故障智能分析［J］. 电测与仪表, 2014, 51(15): 18-22.
Chen C. Intelligent fault analysis of electricity meters in operation based on electricity information acquisition system［J］. Electrical Measurement & Instrumentation, 2014, 51 (15): 18-22.
［11］梁伟建, 洪涛, 林笃盛, 等. 基于机器视觉的智能电能表外观缺陷检测系统设计［J］. 电测与仪表, 2013, 50(10): 64-68.
Liang W J, Hong T, Lin Z S, et al. Design of appearance defect detection system for intelligent electricity meters based on machine vision ［J］. Electrical Measurement & Instrumention, 2013, 50(10): 64-68.
［12］董俐君, 祝恩国, 张芊, 等. 自动化检定流水线现场校验系统的设计与实现［J］. 电测与仪表, 2015, 52(17): 118-123.
Dong L J, Zhu E G, Zhang Q, et al. Design and application of site calibration system for automatic verification pipeline［J］. Electrical measurement ＆ Instrumentation, 2015, 52(17): 118-123.
［13］谈丛, 陈向群, 熊德智, 等. 低压电流互感器检定多任务并行处理机制研究［J］. 湖南电力, 2018, 38(5): 51-54.
Tan C, Chen X Q, Xiong D Z, et al. Research on mechanism of multitask parallel processing of low voltage current transformer calibration［J］. Hunan Electic Power, 2018, 38(5): 51-54.
［14］范继臣, 马晓奇, 赵宇东. 智能电能表全性能试验多任务并行优化策略的研究［J］. 数字通信世界, 2019(4): 20.
Fan J C, Ma X Q, Zhao Y D. Research on multi-task parallel optimization strategy for full performance test of intelligent electric energy meter［J］. Digital communication world, 2019(4): 20.
［15］李波, 曹敏, 李仕林, 等. 计量自动化终端自动化检测流水线调度非支配排序遗传算法［J］. 大连工业大学学报, 2019, 38(4): 302-306.
Li B, Cao M, Li S L, et al. The optimization algorithm for metrological automation terminal automatic verification flow-shop scheduling［J］. Journal of Dalian Polytechnic University, 2019, 38(4): 302-306.
［16］Zhang S C, Li X, Zhang B W, et al. Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system［J］. European Journal of Operational Research, 2019, 283(2): 441-460.
［17］Zhang G H, Hu Y F, Sun J H, et al. An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints［J］. Swarm and Evolutionary Computation, 2020, 54: 100664.