Laser marking line surface flatness profile scanning method and surface flatness instrument

Abstract

The invention discloses a new road surface flatness high-speed automatic intelligent detection technology and a new flatness index measurement model and calculation method. A laser marking line generator and a laser marking line image acquisition device are installed on a movable platform, wherein the laser marking line image acquisition device and an optical axis of the laser marking line generator share the same plane, and the included angle between the laser marking line image acquisition device and the optical axis of the laser marking line generator is larger than 45 degrees; and a standard plane or the horizontal plane with the flatness higher than that of a to-be-measured surface is provided as a standard for correction, and longitudinal stepping acquisition of road surface markingline images is conducted in a profile scanning mode. The horizontal plane is uniformly used as a measurement and calculation standard, and calculation is convenient and accurate; it is proposed that the weighted average of the flatness of the to-be-measured road surface serves as a flatness index of a wheel track belt region, namely a target measurement region, and the flatness of the whole road surface is considered overall through the data; and the method is closer to reality compared with a one-quarter vehicle model, and the reference significance is large. The method is based on simple andlow-price equipment and can be used and popularized to a basic level.

Description

technical field [0001] The invention relates to the field of road surface detection, in particular to the detection of road surface roughness. Background technique [0002] Pavement roughness refers to the deviation value of the unevenness in the longitudinal direction of the road surface, which mainly reflects the smoothness of the profile curve of the longitudinal section of the road surface. When the profile curve of the pavement profile is relatively smooth, it means that the road surface is relatively flat, or the flatness is relatively good, otherwise it means that the flatness is relatively poor. [0003] All pavements -- including ordinary roads, squares, airstrips, highways, especially expressway lanes, are important indicators of the pavement quality level. Road roughness not only affects driving efficiency, but also affects comfort and safety. The physical meaning of road surface roughness is the degree of elevation change and unevenness of the road surface, whi...

AI Technical Summary

Problems solved by technology

The elevation curve obtained by measuring the road surface based on the recognized level line is objective and credible. However, due to the slope and low-frequency curvature of the road surface and the horizontal plane, according to the internationally recognized data processing method, the low-frequency curvature and slope trend items must be filtered out to obtain the international flatness calculation. The required elevation curve of the pavement foundation, while the current acceleration sensor can only form a calculation basis in the measurement section for a short period of time. Due to the multi-factor sensitivity of the acceleration sensor, the calculation basis is not standard, resulting in problems of low speed limit and abnormal curve data. , where the detected speed limit cannot be less than 23 km / h

[0007] Additionally, prior art models are too ideal

The interaction between a four-wheeled vehicle and a two-dimensional road surface bumps up and down with the elevation of the road surface, which affects people's comfort. This is a three-dimensional problem on a two-dimensional surface. However, the international community idealizes the vehicle as a model with only one wheel. That is, a quarter vehicle model, too simple

[0008] Finally, the existing technology can only measure the roughness value of one longitudinal section at a time, and cannot obtain the distribution of the overall smoothness of the road surface. In reality, the roughness of different longitudinal sections of the same road section varies greatly. Therefore, it is necessary to obtain the overall road surface roughness Flatness needs to repeat multiple tests or add instruments on the mobile platform to measure different longitudinal sections at the same time. The above methods are either cumbersome or expensive

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