Road fog emergency supervision system, method and medium based on internet of things large model
By combining IoT big data models with sensor data and machine learning, fog information is accurately predicted and road studs and laser lane systems are controlled, solving the traffic safety problems on highways caused by fog and achieving efficient emergency management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU QINCHUAN IOT TECH CO LTD
- Filing Date
- 2026-02-24
- Publication Date
- 2026-06-19
AI Technical Summary
Fog patches on highways cause sudden changes in visibility, increasing traffic safety risks, and existing technologies are insufficient to accurately predict and effectively respond to them.
The highway fog emergency monitoring system based on the Internet of Things big data model collects micro-meteorological and geographical data through sensors, uses machine learning models to predict fog information, and generates emergency commands to control the opening and closing of smart road studs and laser lane systems.
It has enabled precise, automated, and low-cost emergency management of fog, improved road safety and traffic efficiency, and provided an innovative solution for smart city transportation.
Smart Images

Figure CN121861905B_ABST
Abstract
Citation Information
Patent Citations
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