Smart city lighting is a new lighting system that deeply integrates traditional lighting with technologies such as the Internet of Things, big data, and AI. Focused on energy efficiency, intelligent management and control, scenario-based adaptation, and collaborative empowerment, it has become a crucial infrastructure and data perception node for smart city development.
Its core architecture encompasses the perception layer, network layer, and application layer. The perception layer uses built-in sensors for light, motion, and traffic flow detection in luminaires to collect real-time data on ambient brightness and traffic conditions. The network layer leverages communication technologies such as 5G and LoRa to enable two-way data transmission between the system and the control center. The application layer analyzes data through an intelligent platform and outputs precise control commands, forming a closed loop of "perception-analysis-decision-execution."
Core functions focus on multi-dimensional adaptation and energy efficiency optimization. Basic lighting can automatically turn on and off based on light levels and automatically reduce power consumption to 30%-50% late at night for energy savings. In traffic scenarios, it automatically increases brightness when traffic is heavy and operates at low power when traffic is quiet, saving over 60% energy compared to traditional lighting. Furthermore, it features intelligent fault warnings, providing real-time feedback on lamp failures through current and voltage monitoring, shortening maintenance cycles. In addition to lighting, lamp poles can also be equipped with monitoring, charging piles, advertising screens and other equipment to support multiple applications such as traffic diversion, emergency broadcasting, and environmental monitoring.
