基于多点激光检测技术的车辙深度算法对比及横向偏移误差研究

发布时间：2018-08-14 14:59

【摘要】：车辙是沥青路面的主要病害类型之一，快速、可靠的深度检测结果是路面状况评价与养护措施选择的重要依据。目前广泛使用的多点激光检测设备，一定程度上解决了速度和精度问题，但其可靠性受检测设备精度、深度计算原理、检测过程控制等多种因素影响，这制约了公路养护管理的科学化、精细化发展。基于多点激光实测数据，结合模拟断面，对车辙深度算法及横向偏移误差进行对比研究。以江苏省某国道为依托，在对比国内外评价指标的基础上确定了车辙产生的临界深度，，并划分出轻、中、重三档严重等级，分析检测路段车辙形状和深度分布情况；在明确国内车辙主要成因的前提下，结合现场调研结果，分析其典型断面特征，并建立了车辙成因与形状间的关系。其次，针对规范定义的车辙形状，找出不同算法存在差异的断面，选定车辙形状和深度两个影响因素，以真实车辙断面和模拟断面相结合的方式，研究这两种因素对算法差值的影响结果，并给出具体的车辙一维横断面影响指标。最后，基于车辙深度计算原理探讨横向偏移的误差产生机理，从车辆偏移和车辙横断面两个角度出发，选取了横向偏移距离和方向、车辙形状和深度四个影响指标，评价不同偏移条件下的误差变化规律，并给出限定偏移误差下的容许偏移距离。本文针对车辙深度计算过程中的误差进行研究，旨在提高深度检测结果的可靠度，是对我国现有车辙检测技术的完善。研究能提升我国高速公路沥青路面的车辙检测分析水平，对推进公路养护管理的科学化、精细化建设具有重要意义。
[Abstract]:Rutting is one of the main types of asphalt pavement diseases. Rapid and reliable depth detection results are the important basis for pavement condition evaluation and maintenance measures selection. The problem of speed and precision is solved to some extent by the widely used multipoint laser detection equipment, but its reliability is affected by many factors, such as the precision of the detecting equipment, the principle of depth calculation, the control of the testing process, and so on. This restricts the scientific development of highway maintenance management. Based on the measured data of multi-point laser and the simulated section, the algorithm of rutting depth and the error of lateral migration are compared and studied. Based on a national highway in Jiangsu Province, the critical depth of rutting is determined on the basis of comparing the domestic and foreign evaluation indexes, and the serious grades of light, medium and heavy grade are classified, and the distribution of rut shape and depth is analyzed. On the premise of defining the main causes of rutting in China and combining with the results of field investigation, the typical cross-section characteristics of ruts are analyzed, and the relationship between rutting causes and shapes is established. Secondly, according to the rutting shape defined by the specification, the section with different algorithms is found out, and two factors, the rutting shape and depth, are selected, and the real rutting section and the simulated section are combined with each other. The effect of these two factors on the difference of the algorithm is studied, and the influence index of one dimensional cross section of the rut is given. Finally, based on the calculation principle of rutting depth, the error generation mechanism of lateral migration is discussed. From two angles of vehicle migration and rutting cross section, four influencing indexes are selected, such as the distance and direction of lateral migration, rut shape and depth. The law of error variation under different migration conditions is evaluated, and the allowable offset distance under limited offset error is given. In this paper, the error in the calculation of rut depth is studied in order to improve the reliability of the result of depth detection, and it is the perfection of the existing rutting detection technology in China. The research can improve the rut detection and analysis level of highway asphalt pavement in our country, and it is of great significance to promote the scientific and fine construction of highway maintenance and management.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U418.68

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