张强,于宁,崔晖,邵丕彦,周圣杰,张栖国.基于大数据的三相表错接线识别软件的设计实现[J].电测与仪表,2018,55(6):110-115. Zhang Qiang,Yu Ning,Cui Hui,Shao Piyan,Zhou Shengjie,Zhang Qiguo.Design and implementation of three-phase meters’ fault wire connection identification software based on big data[J].Electrical Measurement & Instrumentation,2018,55(6):110-115.
基于大数据的三相表错接线识别软件的设计实现
Design and implementation of three-phase meters’ fault wire connection identification software based on big data
The electric energy metering accuracy is very important, directly affecting the power sector’s electricity settlement and the vital interests of the majority of electricity customers. And meter wiring error is one of the main reasons causing great error of electric energy metering. The wire connection method of the single-phase meter is relatively simple and it’s very easy to find the problem of it. This paper mainly studies the methods to check the wrong wire connection method of three-phase meter. Firstly, collect big data information of the three-phase meter through the system. Then establish the mathematical model and design the algorithm. Finally identify all three-phase meters which have wire error through the software program. In this paper, the system architecture, algorithm flow design and implementation of important modules are described. And the software program is tested by the test data which cover all kinds of wrong wire connection methods and is obtained through the meter platform. At last, a case of Dalian City’s test is used to verify the correctness and applicability of the model and algorithm. And it is expected to provide some help to the accuracy of electric energy measurement.
