This article was created as a result of research conducted within the master thesis. The purpose of the measurements was to analyze the accuracy of the positioning of points by computer programs. Selected software was a specialized computer software dedicated to photogrammetric work. For comparative purposes it was decided to use tools with similar functionality. As the basic parameters that affect the results selected the resolution of the photos on which the key points were searched. In order to determine the location of the determined points, it was decided to follow the photogrammetric resection rule. In order to automate the measurement, the measurement session planning was omitted. The coordinates of the points collected by the tachymetric measure were used as a reference system. The resulting deviations and linear displacements oscillate in millimeters. The visual aspects of the cloud points have also been briefly analyzed.
The article presents the results of satellite railway track position measurements performed by a multidisciplinary research team, the members of which represented Gdansk University of Technology and Gdynia Maritime University. Measuring methods are described which were used for reconstructing the railway track axis position and diagnosing railway track geometry deformations. As well as that, the description of the novel method developed by the authors to perform mobile GNSS measurements is included. The reported research aimed at assessing the uncertainty of railway track axis reconstruction making use of the dynamic GNSS method. To assess the applicability of this method, the obtained results were compared with those from the stationary measurement method used in railway business. The data used for comparison was recorded on the same railway track section during several measurement campaigns. In these campaigns, different types of GNSSs with different position recording frequencies (1–100 Hz) were used at different measurement speeds (5–70 km/h). The performed analysis has shown that the accuracy of railway track axis reconstruction making use of mobile GNSS measurements is sufficient for using this methodology in railway business.
The article presents a comparison of obtained models of a test object. Close range photogrammetry was used to obtain 3D models. As test object was used one of the rooms located in Wisłoujście Fortress in Gdańsk, Poland. Different models were obtained by using different distribution and number of reference points. Article contains analysis of differences between coordinates of control points obtained from total station measurements and estimated from different 3D models.
Rail transportation is one of the most environmentally friendly systems; however, it generates noise and vibrations in the vicinity of railway lines. Therefore, the operation of railways requires appropriate measurements to analyze interactions between rolling stock and railway infrastructure during service. This paper presents a novel railway monitoring system based on the Industrial Internet of Things (IIoT) sensor network concept, enabling the integration of functionalities such as synchronized motion, technical, and environmental measurements. The system features a flexible configuration regarding the number of monitored parameters and scalability in terms of the number of tracks being observed. Selected field studies are presented, leading to the optimal configuration of the measurement system, along with a discussion of key research findings. Signal analysis enables a comprehensive assessment of the impact of rail transport on the environment, particularly by identifying sources of environmental pollution such as vibrations and noise generated by rail vehicles. In this study, 932 units of passing trains (wagons, locomotives, and multiple unit sections) were identified. The average deviation of the distances between recorded axles (relative to the catalog data) was approximately 3.9 cm, with a maximum of 20 cm.