Baek Jongdae
Future Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang 10223, Korea.
Sensors (Basel). 2020 Dec 17;20(24):7235. doi: 10.3390/s20247235.
The hyperloop transportation system has emerged as an innovative next-generation transportation system. In this system, a capsule-type vehicle inside a sealed near-vacuum tube moves at 1000 km/h or more. Not only must this transport tube span over long distances, but it must be clear of potential hazards to vehicles traveling at high speeds inside the tube. Therefore, an automated infrastructure anomaly detection system is essential. This study sought to confirm the applicability of advanced sensing technology such as Light Detection and Ranging (LiDAR) in the automatic anomaly detection of next-generation transportation infrastructure such as hyperloops. To this end, a prototype two-dimensional LiDAR sensor was constructed and used to generate three-dimensional (3D) point cloud models of a tube facility. A technique for detecting abnormal conditions or obstacles in the facility was used, which involved comparing the models and determining the changes. The design and development process of the 3D safety monitoring system using 3D point cloud models and the analytical results of experimental data using this system are presented. The tests on the developed system demonstrated that anomalies such as a 25 mm change in position were accurately detected. Thus, we confirm the applicability of the developed system in next-generation transportation infrastructure.
超级高铁运输系统已成为一种创新的下一代运输系统。在该系统中，密封的近真空管内的胶囊型车辆以1000公里/小时或更高的速度行驶。这种运输管道不仅必须跨越很长的距离，而且必须清除管道内高速行驶车辆的潜在危险。因此，自动化基础设施异常检测系统至关重要。本研究旨在确认先进传感技术（如激光雷达）在超级高铁等下一代运输基础设施自动异常检测中的适用性。为此，构建了一个原型二维激光雷达传感器，并用于生成管道设施的三维（3D）点云模型。使用了一种检测设施中异常情况或障碍物的技术，该技术涉及比较模型并确定变化。介绍了使用3D点云模型的3D安全监测系统的设计和开发过程以及使用该系统的实验数据分析结果。对开发系统的测试表明，能够准确检测到诸如位置变化25毫米等异常情况。因此，我们确认了开发系统在下一代运输基础设施中的适用性。
