Road surface information acquisition method based on vehicle actual measurement load spectrum

Abstract

The invention relates to the technical field of vehicle engineering, in particular to a vehicle actual measurement load spectrum-based road surface information acquisition method, which comprises the following steps of: acquiring an actual measurement load spectrum of a test run on a road surface to be measured; calculating a corresponding vehicle response signal according to the actually measured load spectrum of the test run; and inputting the vehicle response signal corresponding to the actually measured load spectrum into a pre-trained road surface reverse model, and calculating the road surface unevenness of the road surface to be measured through the road surface reverse model as the collected road surface information of the road surface to be measured. According to the road surface information acquisition method based on the vehicle actual measurement load spectrum, the measurement cost and the calculation amount can be reduced, and an objective road surface unevenness calculation result can be provided, so that the road surface unevenness acquisition effect can be improved.

Description

technical field [0001] The invention relates to the technical field of vehicle engineering, in particular to a method for collecting road surface information based on the measured load spectrum of a vehicle. Background technique [0002] In recent years, with the rapid development of the economy and the improvement of people's living standards, the mileage of roads and the number of cars are also increasing. The total mileage of graded roads exceeded 4.57 million kilometers, and the number of civilian vehicles exceeded 256 million. Among them, road surface roughness is an important index to detect whether the road surface is qualified or not and the input of automobile driving. It has important research significance in road engineering and automobile engineering. In road engineering research, some roads have bumps, dents, cracks, etc. during use, and even road collapses will occur after a period of time, seriously affecting road driving. The above phenomena are all due to ...

AI Technical Summary

Problems solved by technology

[0004] The road surface roughness recognition system in the above-mentioned existing scheme is based on the binocular camera to directly obtain the 3D point cloud data of the road surface, and then calculate the corresponding road surface roughness, which is equivalent to a direct measurement method, and the advantage is that the measurement accuracy is relatively high and repeatable Good performance, but there are also problems of slow measurement speed, large amount of calculation, and expensive related measuring instruments and equipment

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