基于LabVIEW+VDM的混凝土坝裂缝检测方法
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TV698.1

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国家重点研发计划(2018YFC1508603,2016YFC0401601);国家自然科学基金(51579086)


Crack detectionmethod of concrete dams based on LabVIEW+VDM
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    摘要:

    针对混凝土坝裂缝人工检测低效、有风险的问题,提出基于LabVIEW+VDM的混凝土坝裂缝分析方法。先采集含标定板的大坝裂缝图像,使用Vision Development Module(VDM)的Vision Assistant(VA)对裂缝图像进行处理,采用VDM的骨架函数结合形态学运算提取裂缝骨架,运用粒子分析方法计算裂缝长度、宽度和面积,将VA中实现的处理方法生成脚本代码,再导入LabVIEW编程平台进行调试及GUI开发。结果表明:VDM视觉开发包能够独立完成混凝土坝裂缝的检测功能,基于LabVIEW开发的程序有助于行业人员快速检测分析混凝土坝裂缝,及时诊断和排除混凝土大坝安全隐患。

    Abstract:

    Aiming at the problem of inefficient and risky manual detection of cracks in concrete dams, a crack analysis method for concrete dams based on LabVIEW + VDM was proposed. The Vision Assistant (VA) of the Vision Development Module (VDM) was used to process the crack images. The skeleton function of VDM is combined with the morphological operation to extract the skeleton of the crack, and the particle analysis method was used to calculate the crack length, crack width and crack area. The processing method implemented in VA was used to generate script code, and then imported into the programming platform LabVIEW for debugging and GUI design. The results show that the VDM can independently complete the detection function of concrete dam cracks. The program developed based on LabVIEW helps industry personnel quickly detect and analyze cracks in concrete dams, timely diagnose and eliminate hidden safety hazards.

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王一兵,包腾飞,高治鑫.基于LabVIEW+VDM的混凝土坝裂缝检测方法[J].水利水电科技进展,2021,41(5):76-82.(WANG Yibing, BAO Tengfei, GAO Zhixin. Crack detectionmethod of concrete dams based on LabVIEW+VDM[J]. Advances in Science and Technology of Water Resources,2021,41(5):76-82.(in Chinese))

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  • 在线发布日期: 2021-10-16
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