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Innovative Crack Sealing Analysis and Cost Estimation for Airport Runway Shoulders Using 3D Laser Technology and Automatic Crack Detection Algorithms

机译:使用3D激光技术和自动裂纹检测算法的机场跑道肩部创新裂缝密封分析和成本估算

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摘要

To accurately estimate the cost for crack sealing on airport runway shoulders, an automatic approach using 3D line laser imaging technology, automatic crack detection, and width measurement algorithms is proposed. Based on their widths, cracks can be categorized in terms of the routing depths. Then, accurate cost estimation can be made according to the total length in each crack category using different routing depths. Other than the cost estimation, the detected crack maps and the crack classification information can also be used to guide construction operations and provide a means for agencies' quality checking. Using the proposed method, a case study has been performed on a 30.5-m (100-ft) runway shoulder at Hartsfield-Jackson Atlanta International Airport. The results show that the proposed method is very promising for providing an automatic approach that cost-effectively and reliably generates categorized crack maps with different crack sealing methods and accurately estimates crack sealing cost.
机译:提出了一种准确地估计机场跑道肩部裂缝密封的成本,提出了一种自动方法,采用3D线激光成像技术,自动裂缝检测和宽度测量算法。基于它们的宽度,可以在路由深度方面对裂缝进行分类。然后,可以根据每个裂缝类别的总长度使用不同的路由深度来进行准确的成本估计。除了成本估计之外,检测到的裂缝图和裂缝分类信息还可用于指导施工操作并提供代理商的质量检查的手段。使用该方法,在Hartsfield-Jackson Atlanta International Airport的30.5米(100英尺)跑道肩上进行了一个案例研究。结果表明,该方法非常有希望提供一种自动方法,即成本有效,可靠地产生具有不同裂缝密封方法的分类裂缝图,并准确地估计裂缝密封成本。

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