摘要
文章针对电力窃盗问题,提出一种融合无线通信技术的反窃电系统设计方案。该系统利用智能电表实时采集用户用电数据,通过无线通信网络传输至云端,并结合大数据分析和机器学习算法实现窃电行为的实时识别与预警。通过在典型居民区的实地测试,证实该系统能够有效识别模拟的窃电行为,各项性能指标均优于预期目标,为解决电力窃盗问题提供了新的思路和方法。
Aiming at the problem of power theft,this paper puts forward a design scheme of anti-power theft system integrating wireless communication technology.The system uses smart meters to collect real-time data of users’electricity consumption,which is transmitted to the cloud through wireless communication network,and combines big data analysis and machine learning algorithm to realize real-time identification and early warning of electricity theft.Through the field test in typical residential areas,it is proved that the system can effectively identify the simulated power stealing behavior,and all performance indexes are better than the expected target,which provides a new idea and method for solving the power stealing problem.
作者
高鹏宇
GAO Pengyu(School of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot 010000,China)
出处
《通信电源技术》
2024年第20期14-16,共3页
Telecom Power Technology
关键词
反窃电
无线通信
智能电表
anti-theft power
wireless communication
smart meter
