摘要
此煤矿电能计量系统偏差关联检测和定位方法,是按照树形结构形成网络拓扑,计算采集到的电流、电压、功率、电度等实时数据生成偏差检测关联数据集,获得计量节点及其子节点的样本标准差和相关系数,通过分析样本标准差和相关系数确定电能计量系统偏差并准确定位有偏差的电能计量装置。该方法可以升级目前电能计量系统,有效解决偏差难发现和定位不准的问题。
This method for detecting and locating deviations in coal mine electric energy metering system involves forming a network topology based on a tree structure,calculating real-time data such as current,voltage,power,and electricity consumption to generate a deviation detection correlation dataset,obtaining the sample standard deviation and correlation coefficient of metering nodes and their child nodes,and determining deviations in the electric energy metering system and accurately locating the deviating electric energy metering devices through the analysis of sample standard deviation and correlation coefficient.This method can upgrade the current electric energy metering system,effectively addressing the issues of difficult detection and inaccurate localization of deviations.
作者
王吉华
WANG Jihua(CHN Energy Ningxia Coal Industry Co.,Ltd.,Yinchuan,Ningxia 750001)
出处
《能源科技》
2024年第3期56-58,共3页
Energy Science and Technology
关键词
窄带物联网
煤矿
电能计量
Narrow-band Internet of Things
coal mine
electric energy metering