摘要
针对建筑弱电系统分布式电源节点数量多、负载波动频繁、能效管控精细度不足的问题,提出一种基于边缘人工智能(Artificial Intelligence,AI)的分布式电源能效管控技术。通过多源运行状态感知,在边缘节点部署轻量化能耗预测模型,实现供电策略的动态优化与异常状态下的自愈控制。工程应用结果表明,该技术可在保障弱电系统稳定运行的前提下显著降低电源能耗,提升整体的运行效率与可靠性。
Aiming at the problems of large number of distributed power supply nodes,frequent load fluctuation and insufficient precision of energy efficiency management and control,an energy efficiency management and control technology of distributed power supply based on Artificial Intelligence(AI)is proposed.Through multi-source operation state perception,a lightweight energy consumption prediction model is deployed at edge nodes to realize dynamic optimization of power supply strategy and self-healing control under abnormal conditions.The engineering application results show that this technology can significantly reduce the power consumption and improve the overall operation efficiency and reliability under the premise of ensuring the stable operation of weak current system.
作者
水玉婷
SHUI Yuting(Zhonghuijian Technology Co.,Ltd.,Hefei 230088,China)
出处
《通信电源技术》
2026年第5期113-115,共3页
Telecom Power Technology
关键词
边缘人工智能(AI)
弱电系统
分布式电源能效管控
edge Artificial Intelligence(AI)
weak current system
distributed power efficiency control
