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The Design of Vehicle Bearing Pavement Roughness Measuring System

Author: HuangGuoHui
Tutor: LiuGuiXiong;ZhengYongWu
School: South China University of Technology
Course: Mechanical Engineering
Keywords: Vehicle-mounted Flatness measurement Image Processing Shadow line
CLC: TP311.52
Type: Master's thesis
Year: 2011
Downloads: 69
Quote: 0
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Abstract


Pavement completion and acceptance of the road , an important indicator of maintenance and repair decisions . The traditional method of measuring three meters straightedge , eight continuous roughness meter , vehicle-mounted instrument bumps accumulation flatness test method, since the closure of lanes, the impact on traffic , the detection rate is low or poor reproducibility , has been unable to meet the highways, urban trunk Road , the second dry roads flatness measurement requirements, market needs secure, fast , basically does not affect traffic flatness measurement equipment. In recent years , with the micro- electromechanical systems , the development and application of laser technology at home and abroad increasingly being used flatness detection vehicle or a combination of road vehicles for testing flatness measurements. The flatness measuring device main unit board with a laser displacement meter and accelerometer as critical components. China also began to develop and produce various brands of road roughness measuring device , but the market share is not high . This paper presents a laser-based hatched transform pavement roughness measurement methods , the basic idea is to take a straight line projection of structured light projection curve on the road , combined with proximity sensor , tilt sensor , accelerometer data , the use of image processing and geometric transformations method to obtain pavement profile contour curves calculated pavement . Because each sample is a curve instead of the image sensor with a small multi-point displacement sensor , the sampling frequency can be reduced , simplifying the system structure and reduce costs. System hardware microprocessor as the core , discusses the shadow line silhouette image acquisition, cameras, optical encoders , accelerometers, tilt sensors, and the flatness of ARM7-based measurement hardware system characteristics and requirements ; system software to the Windows 2000 operating platform, object-oriented programming language Visual C for development. The data processing system, a flexible , wide adaptability, low cost, can be used for high-speed detection , with good technical and economic advantages .

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