Railroad Asset Auditing Using LiDAR and Field-Updated Spatial Models
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Solution Overview
Problem
The track data used by Positive Train Control (PTC) systems may misrepresent the actual location of assets associated with the railroad, affecting system performance.
Innovation Solution
Utilizing Light Detection and Ranging (LiDAR) data to extract assets and superimpose them into spatial models, with field indications for modifications, and comparing subsequent LiDAR data to validate asset locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If track data is used by PTC systems, then the system can operate, but the asset locations may be inaccurate
Solution Approach 1:
The patent replaces traditional mechanical surveying methods with LiDAR (Light Detection and Ranging) technology to capture and validate asset locations. The LiDAR system uses laser beams to measure distances and create precise 3D spatial models, substituting the mechanical measurement processes that previously limited accuracy while maintaining system operability.
Solution Approach 2:
The patent creates a digital copy of the physical railroad environment through LiDAR scanning, generating a virtual spatial model that accurately represents asset locations. This digital twin allows for precise location validation without physical measurements, resolving the contradiction between system operation and measurement precision.
2Measurement precision
If manual measurements are used to validate assets, then accuracy can be improved, but safety risks and inefficiency increase
Solution Approach 1:
The system performs self-validation by automatically comparing LiDAR-captured asset locations against the spatial model without requiring human intervention. The LiDAR system and processing algorithms work autonomously to validate assets, eliminating the need for manual measurements and the associated safety risks and inefficiencies.
Solution Approach 2:
The patent substitutes manual measurement processes with automated LiDAR scanning and digital processing. The LiDAR system captures data remotely from safe distances, and computational algorithms automatically validate asset locations, replacing the dangerous and time-consuming manual measurement activities.
3Measurement precision
If LiDAR data is used to extract and validate assets, then accuracy and safety improve, but system complexity increases
Solution Approach 1:
The LiDAR system serves multiple functions: it captures spatial data, identifies assets, validates their locations, and creates the spatial model itself. This multi-functionality reduces the need for separate specialized equipment and processes, managing system complexity while delivering high accuracy and safety benefits.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves the safety and efficiency of identifying and validating PTC critical assets by leveraging LiDAR technology, enhancing accuracy without manual measurements.
Implementation Method 1
receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment
Data Source
AI summary
In one embodiment, a method includes receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment, extracting an asset from the first LiDAR data associated with the railroad environment, and superimposing the asset into a spatial model. The method also includes receiving a field indication associated with a modification to the railroad environment and modifying the spatial model in response to receiving the field indication associated with the modification to the railroad environment. The method further includes receiving second LiDAR data associated with the railroad environment and comparing the second LiDAR data to the modified spatial model.