AIoT Empowerment: How City Street Lighting Achieves the Leap from "Scheduled" to "Intelligent Control"

City streetlights are the core guarantee for nighttime travel safety, and their energy consumption accounts for a significant portion of total urban electricity usage. For a long time, the traditional model of "turning on lights on schedule and keeping them fully lit all night" has not only resulted in massive waste of electrical resources but has also struggled to adapt to the dynamic lighting demands of different times and scenarios. Driven by the dual goals of "carbon peaking and carbon neutrality" and smart city construction, street lighting systems are transitioning from passive scheduled control to active on-demand lighting. Leveraging digital-intelligent technologies to reconstruct lighting logic achieves a dual leap in energy-saving benefits and management efficiency.

I. Limitations of the Traditional "Scheduled Lighting" Model

Low Energy Efficiency: Fixed-time lighting cannot adjust based on actual demand, leading to energy waste during low-traffic periods.

High Maintenance Costs: Full-time operation accelerates equipment aging, increasing maintenance frequency and costs.

Light Pollution Issues: Unnecessary lighting exacerbates light pollution, affecting the ecological environment and residents' lives.

Inability to Adapt to Dynamic Needs: Cannot flexibly adjust in response to weather changes, special events, etc.

II. Intelligent Control: From "Scheduled Lighting" to "On-Demand Lighting"
The intelligent control system serves as the energy-saving "brain," enabling the leap from extensive scheduling to dynamic, refined management:

Multi-level Dimming Strategies: Set power reduction after midnight (e.g., to 50%) based on traffic flow and pedestrian/vehicle activity density, achieving deep energy savings while ensuring safety.

Environmental Response: Integrate illuminance sensors to automatically turn lights on earlier on cloudy/rainy days and off precisely at dawn, avoiding ineffective lighting.

Cluster Networking: Based on IoT (LoRa, PLC, LTE), achieve individual lamp control, real-time fault alarms, and sub-item energy consumption metering, shifting maintenance response from "passive repair requests" to "active early warning."

This transformation is not a single equipment upgrade but a synergistic effort involving hardware iteration, algorithm empowerment, and platform management. Its key technical support can be summarized into three dimensions.

(1) Hardware Upgrade: Building a Solid Foundation for Perception and Control
Hardware is the physical foundation for achieving on-demand lighting. The core lies in adopting efficient light sources and intelligent modules, endowing streetlights with sensing and control capabilities.

Light Sources: High-efficiency LED luminaires are gradually replacing traditional high-pressure sodium lamps, reducing energy consumption by approximately 60% and extending service life to 50,000-100,000 hours, significantly cutting replacement and maintenance costs.

Perception and Control Modules: Deploy sensors (illuminance, microwave radar, infrared, etc.) on light poles to collect real-time data on ambient light intensity and traffic/pedestrian flow. 

Networking: The deployment of centralized controllers and individual lamp controllers allows each streetlight to become a precisely controllable node, receiving central commands while providing real-time operational status feedback.

(2) Algorithm Empowerment: Enabling Intelligent Decision-Making and Optimization
If hardware is the "hands and feet," algorithms are the "brain," determining the precision and energy-saving effectiveness of on-demand lighting. Algorithm models based on AI and big data technologies enable multi-dimensional, scenario-based control:

Dynamic Environmental Adaptation: Automatically adjusts on/off thresholds based on sunrise/sunset times, seasonal changes, and weather conditions (e.g., later turn-on in summer, earlier in winter, slightly increased baseline brightness on cloudy/rainy days).

Traffic Flow Prediction: Learns from weekly traffic flow data to adjust brightness 10 minutes in advance, avoiding lag from real-time response.

Hierarchical Strategy Control: Maintains 20%-50% baseline brightness during no-traffic periods, increases to 80%-100% high brightness within 1 second upon detecting traffic/pedestrians, and can activate alternating lighting modes during early morning low-peak hours, maximizing energy savings while ensuring safe visibility distance.

(3) Platform Management: Building a Synergistic System-Wide Management System
Individual lamp intelligence relies on a system-wide management platform to achieve scale effects, upgrading from "single lamp control" to "system management."
The smart streetlight management platform connects all lamp nodes via IoT technology, displaying their real-time status in a 3D view on an electronic screen. The location, brightness, and energy consumption data of each lamp are visualized for monitoring. The platform has three core functions:

Remote Control: Can issue dimming and on/off commands in batches or for single lamps, adapting to special scenarios like large events or emergency repairs.

Fault Early Warning: Monitors lamp current and voltage parameters in real-time; pushes alarm information and pinpoints fault locations upon failure, reducing troubleshooting time from 24 hours to within 1.5 hours.

Energy Consumption Analysis: Automatically generates visual energy usage reports, optimizes energy-saving strategies through big data mining, and provides data support for management decisions.

III. Success Case References

Xiangshan Smart Lighting Project: This project utilizes FondaCity AIoT platform to achieve remote intelligent monitoring for energy-saving management, realizing integrated "control, management, and operation" at the single-lamp level. It conducts comprehensive, refined management of the public lighting system in Xiangshan's urban area from both energy-saving and management perspectives. After the energy-saving and intelligent transformation, the project provides system platform operation/maintenance and lighting facility maintenance/services for tens of thousands of streetlights in the central urban area. It enables comprehensive management functions like intelligent control, smart operation/maintenance, digital management, asset management, security management, and energy saving/consumption reduction. Post-transformation, the average illuminance of streetlights increased by 60% compared to before. Calculated at equivalent illuminance, the energy-saving rate exceeds 70%, contributing to "carbon peaking." The project improved the city's overall image and nighttime travel safety. Additionally, operational service efficiency greatly improved, reducing human resource costs for urban construction management.

Hong Kong New Territories West Smart Lighting Project: As one of the most representative international projects, it features strong symbolism, massive scale, and high implementation difficulty—deploying about 70,000 smart streetlights across various complex environments. The company played a decisive role in key areas like R&D, testing, operation/maintenance, international cooperation, and localization adaptation. This project is not only a milestone for Hong Kong's smart city development but also provides a "Chinese model" for global smart city construction. The project customized differentiated functions for different road environments, helping Hong Kong build a world-class smart lighting network. Facing complex environmental challenges, it adopted an integrated smart lighting and IoT cloud platform solution, covering multiple areas in the New Territories West. The deployment scope included street lighting equipment, rural lighting equipment, elevated road sign lighting, roadside route indicator lighting, and safety island indicator lights, ensuring each streetlight could be adapted to local conditions. It realized people-oriented, on-demand lighting, building a harmonious urban light environment. The successful implementation of the Hong Kong project demonstrates the strength of China's smart lighting solutions internationally, building on previous experience in places like Chongqing and Chile. Chile Smart Lighting Project: This project deployed over 20,000 smart single-lamp controllers and a multi-layer redundant gateway system. Through FondaCity AIoT platform, it achieved a leap for urban lighting equipment from "discrete management" to "centralized intelligent control." The platform comprehensively covers functions like lighting equipment status monitoring, energy consumption collection, remote control, and fault diagnosis, truly achieving 100% digital control of the lighting system. The platform uptime rate exceeds 99%, significantly reducing traditional manual inspection needs and establishing a reliable, efficient, and replicable new paradigm for smart operation/maintenance for the local municipal department. Evaluations indicate the overall lighting system's electricity-saving rate exceeds 65%, reducing energy consumption and enhancing the city's green operation level. Saudi Arabia Smart Lighting Project: With its complete and flexible smart solutions and one-stop service, Fonda Tech integrated its technical and customer service capabilities into the city's intelligent and energy-saving development within the cooperation ecosystem with Saudi clients. As Saudi Arabia's plans for ten smart cities increased in recent years, the demand for smart solutions became urgent. Fonda Tech brought its iterated smart lighting solutions and secured another large-scale project of tens of thousands of smart lights in Saudi Arabia, aiming to save high urban energy consumption and promote smart city sustainability. By the end of 2022, Fonda Tech had completed smart lighting control for 150,000 lights in Saudi Arabia. Based on RF-MESH communication and customized for local environment and client needs, the project equipped city streetlights with Fonda Lighting lamp controllers, configured central controllers, and connected them to the AIoT smart city IoT platform. This enabled centralized and individual lamp control and monitoring for refined management. Post-renovation, the project is expected to save 76% in lighting energy consumption and reduce maintenance costs by 90%. The implementation plan, after iterations, offers faster transmission speeds, lower latency, and stronger anti-interference capability. For the enterprise, developing large-scale projects based on strategic cooperation reflects client trust in the product, technology, service, and ultimately, affirmation of the company. Fonda Tech focuses on smart lighting, smart poles, and smart lighting effects, integrating R&D, production, sales, and operation/maintenance, committed to providing complete and flexible solutions for the global public lighting sector—solutions tested for security, stability, and multifunctionality across various global environments.

The transition from "scheduled lighting" to "on-demand lighting" is not merely a technological upgrade but a shift in urban management philosophy. Through systematic technological deployment and scientific implementation strategies, street lighting systems can transform from "energy consumers" to "intelligent service nodes." This shift directly reduces urban operational costs while providing residents with a safer, more comfortable, and more environmentally friendly nighttime environment. It represents one of the foundational projects with a relatively high return on investment within smart city construction.