摘要
文章针对配电工程施工中照明线路的绝缘电阻预测问题,分析传统检测方法的局限性,结合人工智能(artificial intelligence,AI)在配电工程施工中的应用现状,构建了基于人工智能的预测模型,详细阐述了模型构建的关键步骤,包括数据收集与整理、特征工程、模型训练与验证,对模型性能进行评估,总结其应用优势和未来改进方向,旨在为配电工程智能化施工提供技术参考。
Based on the problem of insulation resistance prediction in lighting circuit in power distribution engineering construction,this paper analyzes the limitations in traditional detection methods.Combined with the application status of Artificial Intelligence(AI)in power distribution engineering construction,it builds a prediction model based on Artificial Intelligence,expounds in detail the key steps of model construction,including data collection and collation,feature engineering,model training and verification.The performance of the model is evaluated,and its application advantages and future improvement directions are summarized,aiming to provide technical reference for intelligent construction of power distribution engineering.
作者
麦永均
MAI Yongjun(Guangdong Omron Power Engineering Co.,Ltd.,Foshan 528200,Guangdong,China)
出处
《光源与照明》
2025年第8期199-201,共3页
Lamps & Lighting
关键词
配电工程
照明线路
绝缘电阻
AI预测模型
power distribution engineering
lighting circuit
insulation resistance
AI-based prediction model
