Chongqing Case | Building a "Low-Carbon × Smart × Resilient" Smart Lighting Model Project

FondaTech deployed nearly 20,000 smart streetlights in Chongqing using its FondaCity AIoT platform and CAT.1-based controllers. The system supports remote control, real-time monitoring, and intelligent lighting strategies based on traffic and weather data, significantly reducing manual inspections and improving efficiency.

High-Accuracy Fault Detection
Built-in sensors and AI-driven diagnostics enable accurate fault detection by analyzing real-time and environmental data. A three-step validation process ensures over 99% accuracy, greatly reducing false alarms and unnecessary maintenance.

Adaptive LightingSignificant Energy Savings
AI algorithms adjust brightness based on road conditions, achieving over 40% energy savings. This translates to thousands of tons of CO₂ reduction annually, supporting carbon neutrality goals.

Edge-Cloud Coordination forRapid Response
A distributed edge computing architecture enables second-level fault detection and response. This improves operational efficiency by 60% and ensures lighting stability during extreme weather.

Reliable Connectivity withOver 99% Uptime
Using LTE CAT.1 and edge redundancy, the system ensures over 99% device connectivity in complex urban environments, supporting scalable and stable smart city deployment.

This project demonstrates a proven, scalable model for low-carbon, intelligent urban lighting. It provides a reference for future smart city development across China and beyond.