基于三維線激光技術(shù)的路面車轍檢測技術(shù)研究
[Abstract]:Our country has entered the maintenance and maintenance period from the peak period of road construction, and the road management department will face the arduous task of maintenance and management for a long time. It is the key of scientific maintenance management to grasp the pavement disease data accurately and quickly. Rutting, as one of the main diseases of asphalt pavement, not only directly affects the driving safety and comfort, but also seriously endangers the integrity and stability of road structure. Therefore, obtaining accurate and reliable rut detection data is an important task in pavement condition evaluation and maintenance decision. At present, the manual measuring method of pavement rutting has been gradually replaced by multipoint laser detection system because of its time-consuming, laborious and dangerous measurement method, which is widely used at home and abroad. However, the multi-point laser technology is influenced by the number of laser points and the lateral migration of vehicles, which often leads to the underestimation of the detection results of rutting depth, which leads to the misjudgment of the severity of rutting. At the same time, the multi-point laser detection system is difficult to obtain 3D micro-morphology of ruts and calculate the multi-dimensional features of ruts accurately. Analyzing the existing data of one-dimensional rutting depth detection can not provide the administrator with comprehensive, true and accurate rutting information. It restricts the scientific development of highway maintenance management. Based on the advanced commercial 3D line laser equipment, the principle and characteristics of 3D line laser detection are analyzed in this paper. The effects of scanning line spacing and erection height on the 3D imaging characteristics of the detection system are analyzed through laboratory experiments. Then, the accuracy and repeatability of laser point cloud data were studied by using marble, cement slab, asphalt plate and calibration board respectively. Aiming at the common colors of black, yellow and white pavement and different road structure depth, the influence of surface color and structure depth on the characteristics of laser point cloud data is studied. Finally, the characteristics of abnormal values of line laser data in the detection process are analyzed, and the possible causes of missing points and abrupt points are studied through indoor and outdoor experiments. With the help of MATLAB platform, the software for extracting multi-dimensional rutting parameters is developed, and the accuracy of the algorithm is verified by indoor experiments. By analyzing the characteristics of the new 3D line laser point cloud data, and studying the multi-dimensional index detection of rutting on the road surface, it is a preliminary exploration of the applicability of 3D line laser technology in the field of road surface management. It is a useful supplement to the improvement of rutting analysis technology in China, to the scientific management of highway maintenance and to the fine construction of highway maintenance management.
【學(xué)位授予單位】:長安大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:U418.6
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