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作 者:高健 陈杰 李雄 于敏 杨睿 廖梓宇 钟新然 GAO Jian;CHEN Jie;LI Xiong;YU Min;YANG Rui;LIAO Ziyu;ZHONG Xinran(Inner Mongolia Transportation Group Mengtong Maintenance Co.,Ltd.,Hohhot 010010,China;Chengdu Guimu Testing Technology Co.,Ltd.,Chengdu 610000,China;Erdos Transportation Engineering Quality Monitoring and Appraisal Service Center,Erdos 017000,China;Inner Mongolia Road and Bridge Engineering Technology Testing Co.,Ltd.,Hohhot 010010,China;Chengdu Jiaotou Aviation Investment Group Co.,Ltd.,Chengdu 610000,China)
机构地区:[1]内蒙古交通集团蒙通养护有限责任公司,内蒙古呼和浩特010010 [2]成都圭目检测技术有限公司,四川成都610000 [3]鄂尔多斯市交通运输工程质量监测鉴定服务中心,内蒙古鄂尔多斯017000 [4]内蒙古路桥工程技术检测有限责任公司,内蒙古呼和浩特010010 [5]成都交投航空投资集团有限公司,四川成都610000
出 处:《新技术新工艺》2025年第1期38-49,共12页New Technology & New Process
摘 要:为解决近期道路塌陷事故频发及传统人工检测手段存在主观性强、精度差、易漏检、效率低的问题,基于自研的路面健康自动检测机器人与GM-DAS数字化管理系统,采用视觉检测系统及三维探地雷达同步采集G304国省干线霍林郭勒段道路表观及内部结构信息,结合道路表观实景三维重建技术、探地雷达的结构病害检测技术及目标位置预测技术进行分析,以此实现道路病害产生原因、发展情况的溯源分析,减少解释结果对经验判断的依赖,降低检测及分析的时间和经济成本,提高病害检测的精度和效率。In order to solve the recent frequent road collapse accidents and the problems of traditional manual detection methods were highly subjective,poor in accuracy,easy to miss detection,and low in efficiency,based on the self-developed road health automatic detection robot and GM-DAS digital management system,and by using vision inspection system and three-dimensional ground penetrating radar,we simultaneously collected the road surface and internal structure information of the Holingol section of the G304 national and provincial trunk highway.Combined with the analysis of the three-dimensional reconstruction technology of the road surface real scene,the structural disease detection technology of ground penetrating radar and the target location prediction technology,we realized the traceability analysis of the causes and development of road diseases,reduced the dependence of the interpretation results on empirical judgment,and reduced the detection time and economic cost of analysis,which improved the accuracy and efficiency of disease detections.
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