2025 Volume 4 Issue 1 Pages 115-123
The construction of cyberspace consisting of sensing data from real railroad space and information on the distance of railroad lines contributes to improving productivity of inspection and management operations on earthwork sections that make up majority of conventional railway lines. In this study, we design a systematic classification table of earthwork structures and verify whether various types of equipment are identified by viewing 3D point cloud data with reflection intensity values. For the identified earthwork structures, point and line geometry data are generated according to their areal and linear features, and a common name label is assigned. These label data are expected to serve as a link between the history of inspection and management, the current cyberspace, and the next sensing data. And it is useful in facilitating communication by visualizing areas of significant abnormality and viewing unique name information along with numeric values on the location of the line.