Onboard Rail Track Change Detection Using Reference Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for monitoring rail tracks and surrounding structures are inadequate in identifying structural changes early and efficiently, often leading to safety compromises and delays, as they require dedicated maintenance trains and are unable to detect damages accurately.
Innovation Solution
A method and system using image data captured by trains in operation, analyzing it with image processing algorithms to identify alterations in objects or rail tracks, and communicating findings to control centers for timely action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maintenance trains are used to monitor rail tracks, then monitoring coverage is achieved, but monitoring frequency is low (a few times per year) and costs are high
Solution Approach 1:
The passenger train performs multiple functions: it transports passengers while simultaneously monitoring rail tracks and surrounding structures using onboard image capturing devices. This eliminates the need for dedicated maintenance trains, increasing monitoring frequency without additional infrastructure costs.
Solution Approach 2:
The train monitors its own operational environment (tracks and structures) using its own onboard resources (image capturing devices), eliminating the need for separate maintenance vehicles and enabling continuous self-monitoring during regular operations.
2Reliability
If prior art monitoring methods are used, then some damages are detected, but changes are identified too late to prevent safety issues or delays
Solution Approach 1:
The system continuously captures and analyzes images of tracks and structures during every train passage, enabling real-time detection of alterations. This continuous monitoring allows early identification of changes before they develop into safety hazards or cause delays.
Solution Approach 2:
The system compares newly captured images with reference images stored in a database, automatically detecting alterations and providing immediate feedback about track or structure changes. This feedback mechanism enables timely response to potential safety issues.
3Measurement precision
If manual inspection methods are used, then detailed examination is possible, but the process is labor-intensive and costly
Solution Approach 1:
The system replaces manual inspection with automated image capturing devices and computer-based image analysis algorithms. This substitution maintains detailed examination capability while eliminating labor-intensive manual processes, reducing costs and increasing efficiency.
Solution Approach 2:
The system creates digital copies (images) of tracks and structures, which can be analyzed computationally without requiring physical manual inspection. These image copies enable detailed examination to be performed automatically by algorithms, reducing human labor while maintaining inspection quality.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for identifying an alteration of an object (100) in the vicinity of a train (1) in operation travelling on a rail track (101) along a route. The train is operative to transport passengers or cargo. The method comprises capturing image data of an object located at a point of interest (106) along said route when said train is operational on said rail track. Furthermore, said image data is analyzed to find matching reference image data stored in a data storage device (123). Based on said matching reference image data, said object is located at a position within said point of interest. Further, said image data is analyzed to find an alteration of said object compared to said matching reference image data. If an alteration is found, an action depending may be taken.