基于AI的智能路灯系统实时决策优化  

AI Optimization and Real-Time Decision Making in Intelligent Street Lighting Systems

作　　者：陈英飞 张震鹏 CHEN Yingfei;ZHANG Zhenpeng(Hangzhou City Appearance Landscape Development Center Landscape Lighting Department,Hangzhou 310005,China;Hangzhou Ruiqi Information Technology Co.,Ltd.,Hangzhou 310012,China)

机构地区：[1]杭州市市容景观发展中心,浙江杭州310005 [2]杭州瑞琦信息技术有限公司,浙江杭州310012

出　　处：《中国照明电器》2024年第11期114-116,共3页China Light & Lighting

摘　　要：分析和验证AI技术在实时数据处理和决策优化中的应用,旨在提高能源利用效率并优化照明系统的自动调节能力。本研究采用深度学习算法对路灯系统的数据进行处理,并设计实时反应机制,通过模拟实验来评估算法的效能和实用性。结果显示,AI集成系统在能源使用和灯光调整响应性方面表现出显著优势,能效提升明显,系统响应时间缩短。由此可以判定,AI技术的应用显著提升了智能路灯系统的性能,为城市照明系统提供了有效的优化方案,有助于实现更高的能源经济性和更佳的用户体验。To analyze and validate the application of AI technology in real-time data processing and decision-making optimization,aiming to improve energy use efficiency and optimize the automatic regulation capability of lighting systems.Deep learning algorithms were used to process data from street lighting systems and design real-time response mechanisms,and simulation experiments were conducted to assess the efficacy and usefulness of the algorithms.The AI-integrated system demonstrated significant advantages in energy use and light adjustment responsiveness,with significant energy efficiency gains and shorter system response times.The application of AI technology significantly improves the performance of the intelligent street lighting system,provides an effective optimization solution for urban lighting systems,and helps to achieve higher energy economy and better user experience.

关 键 词：智能路灯 AI优化 实时决策 系统设计 

分 类 号：U495[交通运输工程—交通运输规划与管理] TU113.666[交通运输工程—道路与铁道工程]