基于属性一致性理论的电能表软件可靠性测试结果处理及评估研究

刘光界; 李翔; 陈叶; 王恩; 金琦皓; 赵振刚

刘光界,李翔,陈叶,王恩,金琦皓,赵振刚.基于属性一致性理论的电能表软件可靠性测试结果处理及评估研究[J].电测与仪表,2021,58(11):170-178.
Liu Guangjie,Li Xiang,Chen Ye,Wang En,Jin Qihao,Zhao Zhengang.Reliability Test Results Processing and Evaluation of Embedded Software of Electricity Meter based on Attribute Consistency Theory[J].Electrical Measurement & Instrumentation,2021,58(11):170-178.

基于属性一致性理论的电能表软件可靠性测试结果处理及评估研究

Reliability Test Results Processing and Evaluation of Embedded Software of Electricity Meter based on Attribute Consistency Theory

DOI：10.19753/j.issn1001-1390.2021.11.024

中文关键词: 属性一致性电能表嵌入式软件可靠性管理

英文关键词:Attribute consistency Electricity meter Embedded software Reliability management

基金项目:云南电网有限责任公司科技项目（YNKJXM20170549）

作者中文名	作者英文名	单位
刘光界	Liu Guangjie	云南电网有限责任公司曲靖供电局
李翔	Li Xiang	云南电网有限责任公司电力科学研究院
陈叶	Chen Ye	云南电网有限责任公司电力科学研究院
王恩	Wang En	云南电网有限责任公司电力科学研究院
金琦皓	Jin Qihao	云南电网有限责任公司曲靖供电局
赵振刚	Zhao Zhengang	昆明理工大学

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中文摘要:

智能电能表软件已成为影响产品质量的关键因素，其软件可靠性评价对电力企业实现供货商管理非常重要。为实现供货商软件可靠性的对比分析，提出了一种基于属性一致性理论的供货商电能表软件可靠性测试结果一致性分析方法。首先基于黑盒测试方法构建了电表软件可靠性测试系统和测试用例，进而设计了科恩Kappa对可靠性测试结果一致性进行计算和评价。通过对6家供货商的电能表以及同一供货商4类电能表软件24个测试项可靠性测试结果的分析，供货商3和6间Kappa值最大，为0.625，一致性最好。在供货商3的4类表中，表型2与表型3的Kappa值最大，为0.833，一致性最高。结果表明：本方法可减小随机因素对可靠性测试结果一致性评定的影响，有助于电力企业实现可靠性异常供货商以及与优质供货商可靠性一致性较好的备选供货商的识别。

英文摘要:

The reliability evaluation of embedded software of intelligent electricity meters is very important for power enterprises to realize supplier management. In order to realize the comparative analysis of embedded software reliability of suppliers, a consistency analysis method for reliability test results of embedded software from different suppliers based on attribute consistency theory is proposed. Firstly, the embedded software reliability test system and test cases were built based on the black box test method, and then Cohen’s Kappa was designed to calculate and evaluate the consistency of reliability test results. The reliability test results of 24 test items of 6 suppliers'' electricity meter software and 4 types of electricity meter software from the same supplier were analyzed, the highest Kappa value was obtained between the 3rd supplier and the 6th supplier, and the Cohen’s Kappa values was 0.625. In the 3rd Supplier''s list of 4 categories, the highest Kappa value was obtained between the 2nd category and the 3rd category, and the Cohen’s Kappa values was 0.833. The results show that this method can reduce the influence of random factors on the consistency evaluation of reliability test results. The method can also help power enterprises to realize the reliability management of suppliers and realize the identification of suppliers with abnormal reliability or alternative suppliers with good reliability consistency with quality suppliers.

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