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Inspection equipment study for subway tunnel defects by grey-scale image processing

机译:基于灰度图像处理的地铁隧道缺陷检测设备研究

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In recent years, much attention has been paid to Machine Vision-Based (MVB) technology for tunnel main defect (leakage and crack) inspection as an innovative technology. Based on the principle of MVB technology, various researchers have developed tunnel inspection equipment, but most of them need either a trailer or an external power supply, which cannot meet the demand of subway tunnel inspection in China. The limited inspection time, high demand for precision, rigid requirements of operational management and high cost of the equipment restrict the application of this method in China. MTI-100 (Moving Tunnel Inspection) was developed under these circumstances. To capture stable, high-quality images of the lining surface as the raw data of inspection, an image capture system is well designed based on CCD (Charge-coupled Device) camera scanning. Additionally, equipment optimization design of the mechanism and electricity requirements for the inspection accuracy of subway tunnel inspection is investigated. The maximal size and weight of equipment elements determined the convenience of inspection, which is primarily conditioned by these designs. The effects of lighting and vibration have been considered. A method to calculate the image shift caused by vibration is proposed. The software network is another core component of the equipment, which connects the image acquisition, image storage and defect recognition. The famous Otsu method is used for leakage recognition. A new algorithm based on the features of the local image grid is developed to recognize cracks. A comparative study shows its high accuracy for crack recognition. Finally, a simulative tunnel test and field inspection are undertaken to verify the performance of the non-destructive subway tunnel inspection equipment. Through these tests, the accuracy, stability, repeatability, labor intensity and efficiency of the equipment have been verified. A real project test certified that the developed MTI-100 is quite suitable for practical tunnel inspection.
机译:近年来,作为一种创新技术,用于隧道主要缺陷(渗漏和裂缝)检查的基于机器视觉(MVB)的技术受到了广泛关注。基于MVB技术的原理,各种研究人员已经开发出隧道检查设备,但是大多数需要拖车或外部电源,这不能满足中国地铁隧道检查的需求。有限的检查时间,对精度的高要求,严格的操作管理要求以及设备的高昂成本限制了该方法在中国的应用。在这种情况下开发了MTI-100(移动隧道检查)。为了捕获稳定的高质量衬里表面图像作为检查的原始数据,基于CCD(电荷耦合器件)相机扫描的图像捕获系统经过精心设计。此外,针对地铁隧道检查的检查精度,研究了机理和电力需求的设备优化设计。设备元件的最大尺寸和重量决定了检查的便利性,这主要取决于这些设计。已经考虑了照明和振动的影响。提出了一种计算振动引起的像移的方法。软件网络是设备的另一个核心组件,它连接图像采集,图像存储和缺陷识别。著名的Otsu方法用于泄漏识别。开发了一种基于局部图像网格特征的新算法来识别裂纹。一项比较研究表明,其裂纹识别的准确性很高。最后,进行了模拟隧道测试和现场检查,以验证无损地铁隧道检查设备的性能。通过这些测试,已经验证了设备的准确性,稳定性,可重复性,劳动强度和效率。实际项目测试证明,开发的MTI-100非常适合实际的隧道检查。

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