Railway Track Mapping via Merged Geometry and Point Cloud Data
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Solution Overview
Problem
Current systems for railway track inspection lack accurate mapping capabilities, particularly in detecting rail displacements and irregularities, and do not effectively combine geo-referenced rail geometry data with 3D point cloud data for comprehensive track profiling.
Innovation Solution
A method and system that acquire geo-referenced rail geometry data and 3D point cloud data using railway vehicle-mounted equipment, combining these to derive and compare track profiles, and generate enhanced data sets by adjusting geo-reference correspondences based on weighted contributions, allowing for accurate mapping and detection of rail displacements and irregularities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated inspection systems use coherent light sources to illuminate railway tracks during inspection runs, then inspection speed is improved, but mapping accuracy and detection precision of rail displacements deteriorate
Solution Approach 1:
The patent merges two different data acquisition approaches: automated inspection systems using coherent light sources for fast inspection and laser scanners for precise 3D mapping. By combining the data from both systems and integrating them through geo-referencing and profile comparison, the patent achieves both high inspection speed and high mapping accuracy simultaneously
Solution Approach 2:
The patent introduces an intermediary processing system that geo-references both inspection data and laser scan data to a common coordinate system, then compares track profiles to identify discrepancies. This intermediary processing layer enables the integration of fast inspection data with precise mapping data without compromising either speed or accuracy
2Productivity
If inspection systems focus on high-speed assessment, then productivity is improved, but the ability to detect small rail displacements and irregularities deteriorates
Solution Approach 1:
The patent performs preliminary high-speed inspection to identify potential issues, then uses laser scanning data as a reference to verify and precisely measure detected anomalies. The comparison between inspection data and laser scan profiles enables accurate detection of small displacements that might be missed during high-speed assessment
Solution Approach 2:
The system uses feedback from comparing inspection-derived profiles with laser scan-derived profiles to identify and flag potential track issues. When discrepancies are detected, the system can trigger further investigation or alert maintenance personnel, creating a feedback loop that improves detection capability while maintaining high-speed operation
Data Source
AI summary
A method and a system (30) for inspecting and/or mapping a railway track (18). The method comprises: acquiring geo-referenced rail geometry data associated with geometries of two rails (20) of the track along the section; acquiring geo-referenced 3D point cloud data, which includes point data corresponding to the two rails and surroundings of the track along the section; deriving track profiles of the track from the geo-referenced 3D point cloud data and the geo-referenced rail geometry data; and comparing the track profiles and generating enhanced geo-referenced rail geometry data and/or enhanced geo-referenced 3D point cloud data based on the comparison.