基于大数据技术的电能计量器具质量评估及优选方案

罗庆; 张新燕; 罗晨; 李江; 晁勤

doi:10.13568/j.cnki.651094.2019.03.014

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基于大数据技术的电能计量器具质量评估及优选方案

更新时间：2026-01-21

- 基于大数据技术的电能计量器具质量评估及优选方案
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 36, Issue 3, Pages: 354-360(2019)
- 作者机构：
  
  1. 新疆大学电气工程学院
  2. 国网新疆电力公司电力科学研究院
  3. 国网新疆电力公司昌吉供电公司
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.2019.03.014
  CLC： TM933.4
- Published：2019
- 稿件说明：
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[1]罗庆,张新燕,罗晨,等.基于大数据技术的电能计量器具质量评估及优选方案[J].新疆大学学报(自然科学版),2019,36(03):354-360.
[1]罗庆,张新燕,罗晨,等.基于大数据技术的电能计量器具质量评估及优选方案[J].新疆大学学报(自然科学版),2019,36(03):354-360. DOI： 10.13568/j.cnki.651094.2019.03.014.

DOI：10.13568/j.cnki.651094.2019.03.014.

摘要

电能计量器具优选方案对用户至关重要

器具细微的质量问题都可能带来巨大的经济损失甚至引起电网事故.本文从电能计量器具的性能指标计算方法入手

给电能计量器具用户提供一种质量评估及优选方案.首先介绍大数据技术下电能计量器具二次良品率、故障负效益比和优劣误差预值分布率的定义和计算方法;然后根据多变量因子加权法对各性能指标构建的质量模型进行评估

并根据用户对性能需求确定相应的加权值

制定电能计量器具的优选方案;最后应用某区域检测中心的大数据技术

对若干个实际生产厂家的标准电能表进行质量分析、计算、统计

给用户提供优选的采购建议

实例验证了本文提出的电能计量器具的性能指标计算方法、质量评估模型和优选方案的可行性.

Abstract

Optimum selection scheme of electric energy metering devices is very important for users. Fine quality problems of electrical energy metering devices may cause huge economic losses and even power grid accidents.Starting from the calculation method of performance index of electric energy measuring instruments

this paper provides a quality evaluation and optimization scheme for users of electric energy measuring instruments. Firstly

based on large data technology

the definition and calculation methods of three performance indicators of electric energy metering instruments are introduced

namely

the secondary good product rate

the ratio of fault negative benefit and the distribution rate of good and bad error predicted value. Then

the quality model of each performance index is evaluated according to the multi-variable factor weighting method

and the corresponding weighting value is determined based on the performance requirements of users

and the optimization of electric energy metering instruments is formulated. Finally

by using the big data technology of a regional testing center

the quality of standard watt-hour meters from several actual manufacturers is analyzed and calculated

and the purchase suggestions for users' optimal selection are given

which verifies the feasibility of the performance index calculation method

quality evaluation model and optimal scheme of the electric energy measuring instruments proposed in this paper.

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references

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