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作 者:胡波 陈翰新 任松[3] 屈英豪 刘清屹 涂歆玥 王大涛 HU Bo;CHEN Hanxin;REN Song;QU Yinghao;LIU Qingyi;TU Xinyue;WANG Datao(Chongqing Institute of Surveying and Mapping Science and Technology,Chongqing 401120,China;Smart City Spatial-Temporal Information and Equipment Engineering Technology Innovation Center of the Ministry of Natural Resources,Chongqing 401120,China;State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing 400044,China)
机构地区:[1]重庆市测绘科学技术研究院,重庆401120 [2]自然资源部智能城市时空信息与装备工程技术创新中心,重庆401120 [3]重庆大学煤矿灾害动力学与控制国家重点实验室,重庆400044
出 处:《测绘学报》2024年第9期1715-1724,共10页Acta Geodaetica et Cartographica Sinica
基 金:重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX1615);重庆市自然科学基金创新发展联合基金项目(CSTB2023NSCQ-LZX0122);重庆市规划和自然资源局科研项目(KJ-2021054)。
摘 要:随着交通运输网络的建设,建成的隧道数量及隧道运营年限日益增加,给隧道安全运营带来了很大的挑战。快速检测隧道衬砌裂缝病害并准确提取裂缝长宽特征,是实现隧道高效养护和安全运营的重要保障。本文提出了一种高效精准的隧道裂缝病害后处理算法,基于DeepLabV3+语义分割模型的预测分割掩码,以连通域判别细化算法与端点聚类实例区分算法处理掩码断裂情况,实现了隧道裂缝骨架精准提取和实例区分。以长度计算和灰度差异值宽度分类算法实现了裂缝长宽特征的计算,长宽计算准确率分别为92.2%与86.3%。With the construction of transportation networks,the number of completed tunnels and the increasing service life of tunnels have brought great challenges to the safe operation of tunnels.Rapid detection of tunnel lining cracks and accurate extraction of crack length and width characteristics is an important guarantee for achieving efficient maintenance and safe operation of tunnel.This article proposes an efficient and accurate post-processing algorithm for tunnel crack diseases,based on the prediction segmentation mask of DeepLabV3+semantic segmentation model.The connected domain discrimination refinement algorithm and endpoint clustering instance differentiation algorithm are used to process the mask fracture situation,achieving accurate extraction of tunnel crack skeleton and instance differentiation.Finally,the length calculation and grayscale difference value width classification algorithm are used to calculate the crack length and width characteristics.The accuracy of length and width calculation is 92.2%and 86.3%,respectively.
关 键 词:裂缝病害 语义分割 智能计算 DeepLabV3+
分 类 号:P258[天文地球—测绘科学与技术]
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