基于马尔科夫链蒙特卡洛仿真的智能电能表软件可靠性仿真研究  

MC-MC simulation research on software reliability of smart meter based on grey box dynamic testing

作　　者：孔令达[1] 杜蜀薇 赵兵[1] 刘鹰[1] 岑炜[1] 

机构地区：[1]中国电力科学研究院,北京100192 [2]国家电网公司,北京100031

出　　处：《电测与仪表》2018年第1期114-120,共7页Electrical Measurement & Instrumentation

基　　金：中国电力科学研究院青年基金项目(JL84-17-002)

摘　　要：保障智能电能表软件可靠性有利于降低设备故障率,提升电力营销部门服务质量。基于灰盒测试的软件测试技术能够在保护软件源代码安全性基础上进行深度测试。依托智能电能表软件测试平台,按事件触发概率构造若干马尔科夫状态,对智能电能表进行蒙特卡洛仿真分析,使用两款单相电能表进行软件可靠性评价研究。测试模型能够充分挖掘电能表软件成熟度和健壮性,形成对比数据和结论。The insurance of the software reliability of smart meter is beneficial to reduce the failure rate of equipment and improve the service quality of electric power marketing department. The software testing technology based on grey box dynamic testing can check the software source code safely and deeply. Based on the software testing platform of smart meter, this paper constructs several Markov states according to the probability of event trigger, and carries on Monte Carlo simulation analysis to the smart meter. Then, the software reliability of two single-phase smart meters is investigated based on the proposed test method. The simulation results verify that the proposed test model can fully ex- cavate the software maturity and robustness of the smart meter, and effectively generate contrast data and conclusions.

关 键 词：智能电能表 软件可靠性 马尔科夫链 蒙特卡洛仿真 

分 类 号：TM933[电气工程—电力电子与电力传动]