基于物联网技术的低压电量异常自动判断系统设计研究  

Design and Research on Automatic Diagnosis System for Low-Voltage Electricity Anomaly Based on IoT Technology

作　　者：黄伟刚 HUANG Weigang(Nantong Power Supply Branch,State Grid Jiangsu Electric Power Company,Nantong,Jiangsu 226000,China)

机构地区：[1]国网江苏电力公司南通供电分公司,江苏南通226000

出　　处：《自动化应用》2024年第S01期47-49,共3页Automation Application

摘　　要：低压电量异常自动判断系统对于保障用电质量至关重要,是增强用电安全性的核心支撑。为了精准识别电量异常数据并降低工作人员的负担,依托物联网技术,设计了一套低压电量异常自动判断系统,专门用于分析常见的低压用电异常情况。结果表明,该系统能够迅速且准确地发现居民用电的异常情况,显著提高了电量异常数据的判断准确率。同时,该系统还能为检修工作提供有价值的参考,从而提升供电企业的服务水平。The automatic judgment system for abnormal low-voltage electricity is crucial for ensuring the quality of electricity consumption and is the core support for enhancing electricity safety.In order to accurately identify abnormal electricity data and reduce the burden on staff,this paper relies on Internet of Things technology to design a low-voltage electricity abnormal automatic judgment system,specifically used to analyze common low-voltage electricity abnormal situations.After experimental verification,the system can quickly and accurately detect abnormal situations in residential electricity consumption,significantly improving the accuracy of judging abnormal electricity data.The results show that the system can also provide valuable references for maintenance work,thereby improving the service level of power supply enterprises.

关 键 词：物联网 低压电网 智能系统 安全用电 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]