| 基于激光点云的采动区公路裂缝图像处理 |
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| 引用本文： | 刘西岭,李得军,陈年青,查剑锋.基于激光点云的采动区公路裂缝图像处理[J].煤炭技术,2021,40(1):66-69. |
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| 作者姓名： | 刘西岭 李得军 陈年青 查剑锋 |
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| 作者单位： | 南京市规划和自然资源局江宁分局,南京210019;中国矿业大学环境与测绘学院,江苏徐州221116;南京市测绘勘察研究院股份有限公司,南京210019 |
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| 摘 要： | 采动区公路裂缝经常引发路面出现沉降等一系列病害影响公路的正常运行,基于地面激光扫描与图像处理技术的新方法,对沥青路面的裂缝进行裂缝信息提取。结果显示,裂缝最大宽度的误差在±2 mm以内,其相对误差在12%以内,路面裂缝长度计算的相对中误差不超过8.6%。证明该方法检测出的裂缝长度和宽度具有较高的准确度,能够高效地获得路面裂缝的信息。
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| 关 键 词： | 激光点云 图像处理 变形信息 裂缝监测 |
Image Processing of Highway Crack in Mining Area Based on Laser Point Cloud |
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| LIU Xi-ling,LI De-jun,CHEN Nian-qing,ZHA Jian-feng.Image Processing of Highway Crack in Mining Area Based on Laser Point Cloud[J].Coal Technology,2021,40(1):66-69. |
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| Authors: | LIU Xi-ling LI De-jun CHEN Nian-qing ZHA Jian-feng |
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| Affiliation: | (Jiangning Branch,Nanjing Bureau of Planning and Natural Resources,Nanjing 210019,China;School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China;Nanjing Institute of Surveying,Mapping and Geotechnical Investigation Co.,Ltd.,Nanjing 210019,China) |
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| Abstract: | Road cracks in mining area often cause a series of diseases such as road subsidence which affect the normal operation of the road. Based on the new method of laser scanning technology and image processing technology, the crack information of asphalt pavement was extracted.The results show that the maximum crack width error is within 2 mm, the relative error is within 12%, and the relative median error of pavement crack length calculation is no more than 8.6%. It is proved that the width and length of cracks detected by this method have high accuracy, and the information of pavement cracks can be obtained efficiently. |
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| Keywords: | laser point cloud image processing deformation information crack monitoring |
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