The smart lighting monitoring management system integrates energy-saving lighting (with a power saving rate of up to 45-50%), LED stepless dimming, monitoring (single lamp - four remote), anti-theft, remote monitoring, and remote intelligent control management. For example, the lighting in tunnels can be automatically adjusted based on changes in weather, traffic volume, and vehicle speed, reducing tunnel lighting energy consumption, enhancing tunnel lighting management performance, improving urban streetlight management levels and efficiency, and achieving energy-saving goals.
System Management Functions:

1. Remote Control and Management:
Achieve remote intelligent monitoring and management of the tunnel lighting system through the Internet and the Internet of Things; implement intelligent control and management of tunnel lighting through a series of controllers connected to the lights;
2. Tunnel Traffic Flow Detection:
The system detects tunnel traffic flow in real-time and automatically adjusts the brightness of the lighting to reduce energy consumption;
3. Segment Brightness Adjustment in Tunnels:
Set up segments for exit sections, entrance sections, transition sections within the tunnel, etc., and automatically perform segmented lighting control;
4. Multiple Control Methods:
Five control methods including remote manual/automatic from the monitoring center, local manual/automatic, and external forced control make system management and maintenance more convenient;
5. Data Collection and Detection:
Detect data such as current, voltage, and power of tunnel lamps and equipment; monitor terminal online/offline/fault status to achieve intelligent analysis of system faults;
6. Multifunctional Real-time Alarm:
Real-time alarms for system anomalies such as lamp failures, terminal failures, cable failures, power outages, circuit breaks, short circuits, abnormal box openings, cable issues, and equipment status abnormalities;
7. Comprehensive Management Functions:
Comprehensive management functions including data reports, operational data analysis, visualized data, landscape equipment asset management enhance intelligent management operations. Deploy a smart streetlight management platform to manage streetlights through the platform; collect and locate streetlight fault information through an information platform; gather and analyze operational data from various devices related to streetlights to provide decision support for relevant management departments of streetlights, enabling real-time regulation of streetlights. Formulate relevant energy-saving strategies to achieve secondary energy savings for LED streetlights. By setting different timed on/off schedules and dimming strategies at different stages, achieve demand-based lighting to reduce electricity waste and achieve a secondary energy-saving effect of 30%-40%.