摘要
为了评价路面构造深度,准确反映路面的表面性能,通过采用双摄像头、ARM和DSP双处理器架构,以实地采集的露石混凝土路面(EACCP)表面数字图像为研究对象,借助图像表面各点的明暗程度,进行区分路面表面的凹凸程度,开展了基于3G网络技术的路面构造深度连续监测系统研究。研究结果表明:以上方法可以实现准确地评价路面构造深度和反映路面的表面性能。
In order to evaluate the surface texture depth of pavement and accurately reflect the surface performance, two cameras and ARM-DSP dual processors were equipped to study digital images collected from the surface of EACCP. The smoothness of pavement would be reviewed by viewing the light and shade of each spot shown on the images. Continuous monitoring of surface texture depth based on 3G network was studied, and the result shows that it can correctly evaluate the surface texture depth of pavement and reflect the surface performance.
出处
《筑路机械与施工机械化》
2014年第12期61-64,共4页
Road Machinery & Construction Mechanization
基金
重庆市自然科学基金计划项目(CSTC2011jjA30006)
江西省交通运输厅科技计划项目(2012C0019)
安徽省交通运输厅科技计划项目(2013SSLMJK)