AI Optimization and Real-Time Decision Making in Intelligent Street Lighting Systems
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.
intelligent street lightAI optimizationreal-time decision-makingsystem design
NETL
NSTL
万方数据
