基于数据协同的电能表错接线自动化感知系统设计

Design of automated perception system for incorrect wiring of electric energy meters based on data collaboration

当前对于电能表错接线自动化感知系统多采用大数据技术,但由于无法同时处理电能表采集的数据,使得计算复杂度较高,从而导致最终诊断精度较低。为此,提出基于数据协同的电能表错接线自动化感知系统。依据系统的基本功能与实现要求,设计系统的接线转换箱和相位伏安表等硬件部分。基于此,利用数据协同机制处理多种数据任务请求的需要,降低了运算复杂度,并求取电压电流相位差角,结合最大值位置判别法,判定电能表是否出现错接线情况,以此完成电能表错接线感知诊断系统设计。系统性能测试结果显示,所设计系统可以有效感知诊断电能表错接线情况,得到的诊断误报率较低,感知诊断性能更好。

At present,the automatic sensing system of wrong wiring of watt-hour meter mostly uses big data technology,but because it can’t process the data collected by watt-hour meter at the same time,the calculation complexity is high,and the final diagnosis accuracy is low.For this reason,an automatic sensing system based on data collaboration is proposed.According to the basic functions and implementation requirements of the system,the hardware parts such as wiring converter box and phase voltammeter are designed.Based on this,the data coordination mechanism is used to process a variety of data task requests,reducing the operational complexity,and the voltage and current phase difference Angle is calculated,combined with the maximum position discrimination method,to determine whether the watt-hour meter is misconnected,so as to complete the watt-hour meter misconnected sensing and diagnosis system design.The system performance test results show that the designed system can effectively detect and diagnose the wrong wiring of the watt-hour meter,the diagnosis false positive rate is lower,and the detection and diagnosis performance is better.