摘要
电力通信机房是保障电网安全稳定运行的关键基础设施,但传统运维模式效率低下,难以满足日益复杂的管理需求。文章将数字孪生技术引入电力通信机房的智能化运维,设计了一套集物联网、大数据、人工智能等技术于一体的智能运维系统。通过系统仿真实验,验证了该方案可显著提升机房能效,降低23.8%的能耗,故障预警时间提前3.5~4 h。研究表明,数字孪生驱动的智能化运维可有效解决传统模式面临的难题,为电力通信机房的智能化升级提供新思路。
Electric power communication rooms are critical for the safe and stable operation of the power grid.Traditional maintenance methods are inefficient and cannot meet complex management needs.This paper explores using digital twin technology for smart maintenance in these rooms.We designed a system that combines Internet of Things,big data,and artificial intelligence technologies.Simulations show that this solution improves energy efficiency,reducing energy consumption by 23.8%and predicting faults 3.5 to 4 hours in advance.The study demonstrates that digital twindriven smart maintenance can solve issues with traditional methods and offers new ideas for upgrading electric power communication rooms.
作者
汤震
TANG Zhen(State Grid Jiangsu Electric Power Co.,Ltd.,Zhenjiang Power Supply Branch,Zhenjiang 212000,China)
出处
《通信电源技术》
2024年第18期216-218,共3页
Telecom Power Technology
关键词
数字孪生
电力通信机房
智能运维
digital twin
power communication room
intelligent maintenance