A road hazard foreign object monitoring device

Abstract

The invention is applicable to the road monitoring field and provides a road dangerous foreign matter monitoring device. The road dangerous foreign matter monitoring device comprises a control monitoring unit, a laser device, a calibrating pile and a precision adjustment platform; the control monitoring unit comprises a laser device position posture monitoring module and an obstacle monitoring module; the laser device position posture monitoring module records the data calibrated by the laser device as a standard value, records the real-time calibration pile scanning data during the usage of the laser device as a comparison value; the real real-time data is compared with the standard value, and the precision adjustment platform is controlled to adjust the position and the posture of the laser device when the real real-time scanning data is different from the standard value; the obstacle monitoring module performs real-time monitoring on the area inside the road boundary and determines whether a dangerous foreign matter is in the road boundary according to the background calibration data, the road boundary calibration data and the laser device real real-time scanning data. The road dangerous foreign matter monitoring device improves the stability and adaptability of the operation of the device through the real time monitoring by the laser device on the self-position and on the self-posture.

Description

technical field [0001] The invention belongs to the field of road monitoring, in particular to a road dangerous foreign object monitoring device. Background technique [0002] During the road construction and operation phase, foreign objects (such as collapsed rocks, etc.) intruding into the road boundary pose a great threat to road driving safety. In view of the traffic safety problems caused by dangerous foreign objects intruding into the road boundaries, manual inspections are currently used to investigate, but the cost of manual inspections is high and the efficiency is low; The frequency of traffic is low, and the personal risk factor of inspection personnel is high; some road sections cannot even carry out manual inspection. So far, there is no mature, stable and reliable solution or technology for automatic monitoring. The existing mainstream monitoring methods are based on video monitoring and monitoring methods based on fiber grating vibration sensors. The monitor...

AI Technical Summary

Problems solved by technology

The monitoring stability, reliability, and timeliness of alarms based on video monitoring are very poor. For example, in the case of severe weather conditions (such as heavy rain, heavy fog, etc.), video images may not be available, resulting in monitoring failure; Images are greatly affected by the lighting environment, and changes in lighting conditions 24 hours a day lead to false positives and false negatives of the system; a large number of manual judgments are required

The method based on fiber grating vibration has defects such as unrepeatable use of equipment, low precision, easy damage, and many false alarms.

Compared with the traditional manual inspection method, these two mainstream methods have reduced most of the manpower on-site inspection, but the system defects are still obvious, and cannot ensure driving safety in a timely and effective manner.

[0003] At present, ground laser scanning technology has been widely used in the field of deformation monitoring of roads, bridges, tunnels, tracks, etc., taking the Chinese invention patent application titled "A Method and System for Detection of Railway Rail Collapse and Rockfall" as an example, in the prior art Most of the research direction is the improvement of laser scanning recognition software. However, due to the characteristics of outdoor installation and use of laser devices, the movement in the monitoring space is complex and difficult to predict, resulting in a high rate of false positives and false negatives in the "Railway Track Collapse Rockfall Detection Method". Defects such as poor repeatability, insensitive response, and poor precision

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