Laser road synthetic detection vehicle

Abstract

The invention relates to a laser road comprehensive detection vehicle which can be used for detecting and evaluating a plurality of road quality indexes; the lower end of the vehicle body is provided with a laser detection device which can detect the road surface evenness, the wheel track and the structural depth and is provided with a plurality of detection laser probes which can emit collimated laser beams downwards; the upper part of the rear end of the vehicle body is provided with a planar array camera which can bow to photograph; the rear end of the vehicle body is provided with a planar array camera dual-row stroboscopic illuminator; the top of the vehicle body is provided with a camera which is used for photographing the environment at two sides of the road, a safety monitoring camera and a GPS positioning antenna; and the operation chamber of the vehicle body is internally provided with a workbench, a generator room, an industrial computer cabinet, a washing pool, a drinking water machine and a control circuit device. Compared with the prior art, the laser road comprehensive detection vehicle has the advantages of novel structure, full function, convenient operation and high detection precision, and can achieve the comprehensive detection of a plurality of road quality indexes, and the like.

Description

technical field [0001] The invention belongs to the technical field of road quality inspection equipment, and relates to a laser road comprehensive inspection vehicle that can be used to detect and evaluate multiple road quality indicators. Background technique [0002] In the construction, operation, and maintenance of high-grade highways, multiple quality indicators of the road, such as road surface roughness, structural depth, road rutting, road surface cracks, and various environmental information on both sides of the road (such as guardrails, slopes, Central isolation zone) and other indicators are very important for the construction department and traffic management department. How to quickly and objectively detect and evaluate the above indicators has long been a matter of great concern to relevant departments. [0003] At present, the current status of detection and evaluation of related road quality indicators in this field is as follows. [0004] For the detectio...

AI Technical Summary

Problems solved by technology

[0004] For the detection and evaluation of road surface smoothness and structural depth indicators, although advanced laser detection technology has been used so far, most of them are limited to these two indicators In addition, it only detects the flatness index on a wheel track belt, and it has not yet been able to conduct high-efficiency detection at the same time as other road surface quality indexes.

[0005] For the detection and evaluation of road rutting indicators, the main problem of the current laser detection device is that the number of laser probes installed in the cross-sectional direction is small, The detection width is smaller than the width of a driving lane, and the detection accuracy is low; in addition, the beams on which the laser probes are installed are often arranged outside the detection vehicle, and the width of the beams also exceeds the width of the detection vehicle, which is not conducive to driving safety

Generally speaking, the detection of road rutting indicators is still a separate detection, and it has not been able to perform high-efficiency detection at the same time as other road surface quality indicators

[0006] For the detection and evaluation of road surface cracks and other damage, at present, manual walking and visual record detection are mainly used, which has low detection efficiency, affects normal traffic and detection personnel However, the digital image detection methods that have been applied in recent years have not yet achieved high-efficiency detection at the same time as other road quality indicators.

In addition, the detection of road environment information is currently mainly carried out manually, which is inefficient and cannot achieve long-distance and large-scale

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