A pavement monitoring and warning system

By deploying a matrix-type fiber optic sensor network and a digital controller for the central median strip on the road surface, combined with a matrix neural network algorithm module, the problems of low integration and poor noise resistance of the road monitoring system have been solved, enabling all-weather real-time monitoring and rapid early warning, thus improving road maintenance and driving safety.

CN121656274BActive Publication Date: 2026-06-16CENT & SOUTHERN CHINA MUNICIPAL ENG DESIGN & RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CENT & SOUTHERN CHINA MUNICIPAL ENG DESIGN & RES INST CO LTD
Filing Date
2026-02-06
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

Existing road surface monitoring methods have low system integration, are greatly affected by weather and environment, and have poor noise resistance, failing to meet the needs for rapid, all-weather real-time early warning.

Method used

The system combines a matrix fiber optic sensor network with a digital controller for the central median strip. It uses a matrix neural network algorithm module to identify road surface defects and integrates terminal equipment such as a digital management and control platform, driver smart terminals, roadside horns, digital central median strip anti-glare panels, and roadside variable message signs to achieve real-time monitoring and early warning around the clock.

Benefits of technology

It enables real-time monitoring of road surfaces around the clock, reducing the impact of weather and the environment, improving the system's integration and noise resistance, and enabling rapid response to road surface defects and displaying defect information through multi-terminal device linkage, thereby improving road maintenance and driving safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a road surface monitoring and early warning system, and belongs to the technical field of road surface monitoring, wherein the system comprises: a matrix optical fiber sensing network buried in a road surface; a central reservation digital controller used for transmitting a first optical signal to the matrix optical fiber sensing network and demodulating a second optical signal transmitted back by the matrix optical fiber sensing network; a matrix neural network algorithm module used for identifying the demodulated second optical signal through a preset neural network model to obtain road surface disease information; and a plurality of terminal devices used for linkage display of the road surface disease information; wherein the plurality of terminal devices comprise a digital management and control platform, a driver intelligent terminal, a roadside loudspeaker, a digital central reservation anti-dazzle plate and a roadside variable information signboard. The application can monitor the road surface all day round, and can provide more timely and accurate technical support for road maintenance and driving safety by integrating the plurality of terminal devices.
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