基于大数据技术的电能计量器具质量评估及优选方案Quality Evaluation and Optimum Scheme of Electric Energy Metering Instruments Based on Big Data Technology
罗庆,张新燕,罗晨,李江,晁勤
摘要(Abstract):
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.
关键词(KeyWords): 计量学;电能计量器具;大数据;性能指标;质量评估模型;优选方案
基金项目(Foundation): 国家自然科学基金项目(51367015,51667018)
作者(Author): 罗庆,张新燕,罗晨,李江,晁勤
DOI: 10.13568/j.cnki.651094.2019.03.014
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