INTELLIGENT CONTROL METHODS FOR STREET LIGHTING SYSTEMS

Аннотация

This comprehensive article explores the transformative journey of street lighting systems, highlighting recent advancements in intelligent control models, methods, and algorithms. The narrative encompasses the evolution from traditional, fixed-schedule lighting to dynamic, adaptive systems that respond to real-time data, sensors, and communication technologies. The article delves into the benefits, challenges, and future outlook of these innovations, emphasizing the role of machine learning, IoT integration, and specialized algorithms. It also discusses the positive impacts on energy efficiency, safety, and the overall development of smart cities. KEYWORDS Street Lighting Systems, Intelligent Control Models, Adaptive Lighting, Real-time Data, Machine Learning Algorithms, Internet of Things (IoT), Motion Detection, Energy Efficiency, Sustainability, Smart Cities, Urban Infrastructure, Predictive Analytics, Centralized Control Systems, Weather-based Control, Safety and Security, Technological Advancements, Data-driven Decision-making, Environmental Impact, Cybersecurity, Future Outlook.