A highway intelligent fog lamp centralized control method based on a modular architecture

The intelligent fog light control method, which combines modular architecture and real-time data analysis, dynamically matches the fog light control mode based on vehicle location and equipment status. This solves the problems of delayed warning and low maintenance efficiency in existing technologies, and achieves efficient and safe fog light management.

CN122223974APending Publication Date: 2026-06-16GUIZHOU NEW THINKING TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU NEW THINKING TECH CO LTD
Filing Date
2026-05-14
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

Existing technologies fail to effectively combine vehicle speed, distance, and weather data in fog light control, resulting in delayed or ineffective warnings. Furthermore, the lack of real-time equipment health monitoring leads to low maintenance efficiency and affects driving safety.

⚗Method used

The intelligent fog light centralized control method adopts a modular architecture. It dynamically matches the basic guidance mode and the wake guidance function by acquiring meteorological data and vehicle location in real time, and monitors the status of fog light equipment in real time to generate fusion control commands and perform anomaly identification.

🎯Benefits of technology

It enables precise control of fog lights, improves warning accuracy and driving safety, reduces the probability of rear-end collisions, and enhances system stability and maintenance efficiency.

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Abstract

The present application relates to the field of intelligent fog lamp control, and relates to a highway intelligent fog lamp centralized control method based on a modular architecture. The present application acquires meteorological data in each control partition in real time through a centralized management platform, matches the corresponding basic induction mode for each control partition in combination with the basic induction mode corresponding to each fog warning level; collects the real-time position and rear vehicle distance of each vehicle in combination with the meteorological data of the corresponding partition to determine whether to start the dynamic tail trace induction function, and determines the tail trace display fog lamp of each control partition when the dynamic tail trace induction function needs to be started; generates a fusion instruction in combination with the basic induction mode of the corresponding control partition, and each cloud box controls the corresponding fog lamp based on the received fusion instruction; the platform analyzes the health assessment score and identifies the abnormal state fog lamp based on the equipment state data of each fog lamp collected by each cloud box in real time, and performs corresponding maintenance on the abnormal state fog lamp, thereby improving the management and control efficiency and traffic safety.
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