Transport and Logistics Competence Centre, Transport Engineering Faculty, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania.
Institute of Land and Sea Transport Systems, Technical University of Berlin, Strasse des 17. Juni 135, 10623 Berlin, Germany.
Sensors (Basel). 2021 Feb 11;21(4):1297. doi: 10.3390/s21041297.
Railway infrastructure must meet safety requirements concerning its construction and operation. Track geometry monitoring is one of the most important activities in maintaining the steady technical conditions of rail infrastructure. Commonly, it is performed using complex measurement equipment installed on track-recording coaches. Existing low-cost inertial sensor-based measurement systems provide reliable measurements of track geometry in vertical directions. However, solutions are needed for track geometry parameter measurement in the lateral direction. In this research, the authors developed a visual measurement system for track gauge evaluation. It involves the detection of measurement points and the visual measurement of the distance between them. The accuracy of the visual measurement system was evaluated in the laboratory and showed promising results. The initial field test was performed in the Vilnius railway station yard, driving at low velocity on the straight track section. The results show that the image point selection method developed for selecting the wheel and rail points to measure distance is stable enough for TG measurement. Recommendations for the further improvement of the developed system are presented.
铁路基础设施必须满足其建设和运营的安全要求。轨道几何形状监测是维护铁路基础设施稳定技术条件的最重要活动之一。通常，它是使用安装在轨道记录机车上的复杂测量设备进行的。现有的基于低成本惯性传感器的测量系统可以可靠地测量垂直方向的轨道几何形状。然而，还需要解决横向轨道几何形状参数测量的问题。在这项研究中，作者开发了一种用于轨道轨距评估的视觉测量系统。它涉及测量点的检测和它们之间距离的视觉测量。在实验室中评估了视觉测量系统的准确性，结果表明该系统具有良好的效果。初始现场测试在维尔纽斯火车站场进行，在直线轨道段以低速行驶。结果表明，为测量距离而开发的用于选择轮轨点的图像点选择方法对于 TG 测量足够稳定。提出了对所开发系统进一步改进的建议。
