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Method for recognizing road surface types based on vehicle wheel vibration

A type identification and vibration model technology, applied in mechanical roughness/irregularity measurement, measurement devices, instruments, etc., can solve the problems of small sensors, difficulty in accurate positioning of sensors, and inability to reflect the overall situation of the road surface.

Inactive Publication Date: 2008-10-01
JIANGHAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0010] (1) It is difficult to accurately locate the sensor in the tire rubber;
[0011] (2) The wireless power supply and wireless information transmission of sensors are relatively complicated;
[0012] (3) Because the sensor is very small, the information obtained is relatively small, which cannot reflect the overall situation of the road surface
[0016] (1) The received sound waves are easily interfered by external sound waves;
[0017] (2) The installation of the equipment is inconvenient, and it is easy to collide when it is close to the road surface, and the accuracy is reduced when it is far from the road surface;
[0018] (3) The transmitting device and the receiving device are easily polluted by dust, rain, etc.

Method used

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  • Method for recognizing road surface types based on vehicle wheel vibration
  • Method for recognizing road surface types based on vehicle wheel vibration
  • Method for recognizing road surface types based on vehicle wheel vibration

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Embodiment Construction

[0040] The road surface type identification process based on wheel vibration in the present invention is shown in Figure 6 . It consists of the following parts: establish a wheel vibration model, collect wheel vibration signals, obtain multiple groups of typical road wheel vibration high-frequency spectrum feature vectors, construct a neural network classifier for road type recognition, and develop a wheel vibration neural network road type recognition device.

[0041] 1.1 Establish wheel vibration model

[0042] The research object of this method is wheel vibration, and the vehicle vibration system is appropriately simplified according to the research needs (Jin Xiaoxiong, Zhang Lijun, Jiang Hao, "Automobile Vibration Analysis", Tongji University Press, first edition in May 2002). When the vehicle mass distribution coefficient ε=1, the wheel vibrations are not related to each other, and the wheel vibration model is simplified to a single-degree-of-freedom wheel vibration mo...

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Abstract

Disclosed is a road surface type identification method based on wheel vibration, acquiring a vibration signal of the present wheel in the vehicle driving process after the wheel vibration model is established to obtain a present wheel vibration high-frequency spectrum eigenvector which is then compared with the wheel vibration high-frequency spectrum eigenvector of the typical road surface, so as to identify the road surface type. The method is simple and practicable, of simple equipment and easy installation.

Description

technical field [0001] The invention belongs to the technical field of vehicle driving safety, and in particular relates to a method for identifying road surface types during vehicle driving. Background technique [0002] The force necessary for the safe and smooth running of the vehicle (such as ABS, ASR, EBD, ESP, etc.) comes from the contact surface between the tire and the road surface, and the force depends on the skid resistance of the road surface. Therefore, the evaluation of road skid resistance is a necessary part of vehicle safety control. [0003] Pavement skid resistance is determined by pavement surface characteristics, which include macrostructure and microstructure (Sha Qinglin, "Early Damage and Prevention of Expressway Asphalt Pavement", People's Communications Press, January 2005). The microstructure of the pavement refers to the roughness of the pavement aggregate surface, that is, the microstructure of the aggregate surface is 0-0.5mm in the horizontal ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N19/00G01B5/28
Inventor 卢俊辉巫世晶蔡利民
Owner JIANGHAN UNIVERSITY
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