基于数字图像处理技术的沥青混合料摊铺均匀性实时监测评价方法

发布时间：2019-04-27 12:00

【摘要】：为了实时、快速、定量跟踪和评价沥青混合料摊铺过程中的均匀性,提出了基于数字图像处理技术的检测评价方法和程序设计自动化运算。以安徽泗许、济祁高速公路中面层AC-20沥青混合料施工摊铺为样本数据值,规范了沥青混合料原始图像的采集,特别是采集高度、发光源亮度及照射角度等。通过图像滤波、直方图均衡化、形态学图像等处理技术,达到降噪、增强图像整体对比度和梯度特征的目的。以9.5~26.5 mm粒径为研究对象,以各档集料对X轴、Y轴的静距差、区域相对于原始中心的静距差和自身静距差作为判断沥青混合料的离析指标。采用MATLAB系统软件编程,完成了计算流程、相关参数设定及程序界面开发,实现了离析判别快速、连续、自动化检测与控制。研究表明:借助静矩差实现了定量评价沥青混合料的离析程度,计算结果与一般经验相符;运用数字图像处理技术分析沥青混合料摊铺离析状况,可避免人为主观性因素,能够方便快捷地检测沥青混合料均匀分布水平;系统软件运算准确、数据可靠。
[Abstract]:In order to track and evaluate the uniformity of asphalt mixture spreading process in real-time, quickly and quantitatively, the method of detection and evaluation based on digital image processing technology and the automatic calculation of program design are put forward. Based on the sample data of AC-20 asphalt mixture construction spreading in middle surface layer of Si Xu and Ji Qi Expressway in Anhui Province, the collection of original images of asphalt mixture is standardized, especially the acquisition height, luminance and illumination angle of light source, etc. Through image filtering, histogram equalization, morphological image processing technology, the purpose of de-noising, enhancing the overall contrast and gradient features of the image. Taking 9.5 脳 26.5 mm particle size as the research object, the static distance difference between X axis and Y axis of each grade aggregate, the static distance difference of region relative to the original center and the self static distance difference of asphalt mixture are used to judge the segregation index of asphalt mixture. The calculation flow, parameter setting and program interface development are completed by using MATLAB system software. The segregation discrimination is fast, continuous, automatic detection and control. The research shows that the quantitative evaluation of segregation degree of asphalt mixture is realized by means of static moment difference, and the calculated results are in agreement with the general experience. The digital image processing technology can be used to analyze the segregation status of asphalt mixture spreading, which can avoid man-made subjective factors and can easily and quickly detect the uniform distribution level of asphalt mixture, and the system software is accurate in operation and reliable in data.
【作者单位】：重庆交通大学土木工程学院;安徽省交通控股集团有限公司;河北交通职业技术学院;
【基金】：安徽省交通科技基金项目(Ahjtkj20130022)
【分类号】：U414

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