摘要
由于修建年代久远,道路设计时对交通量的增长速度估计不足、对基层力学性质认识不清,导致道路路面存在各种损坏。本文提出了一种通过摄像装置获取路面图像,快速、准确得到道路情况特征,将图像提取转换为易计算的可视三维,识别三维所述路面图像中路面病害区域所属的病害类别的系统。该系统可以根据该病害类别对应的等级评定规则,确定该路面病害区域所属的病害等级,实现路面先况数据采集和路面病害的提前预警。
Due to the long history of construction, insufficient estimation of the growth rate of traffic volume and unclear understanding of the mechanical properties of the base course in road design, there are various damages to the road pavement. In this paper, a system is proposed to obtain the road image through the camera device, quickly and accurately obtain the road condition characteristics, convert the image extraction into a visual three-dimensional that is easy to calculate, and identify the disease category of the road disease area in the three-dimensional road image. The system can determine the disease grade of the pavement disease area according to the grade evaluation rules corresponding to the disease category, so as to realize the data collection of pavement conditions and early warning of pavement diseases.
作者
刘明松
陈洁瑜
罗永棋
LIU Mingsong;CHEN Jieyu;LUO Yongqi(College of Communication Engineering,Chongqing College of Electronic Engineering,Chongqing 401331,China)
出处
《信息与电脑》
2022年第7期135-137,共3页
Information & Computer
基金
重庆市教育委员会科学技术研究计划青年项目资助项目(项目编号:KJQN201903106)。
关键词
路面病害类别判断
病害等级评定
先况数据采集
pavement disease classification judgment
disease grade assessment
advance data collection
