Railway Track Anomaly Detection via Laser Scanning
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Solution Overview
Problem
Current methods for detecting railway track anomalies are either time-consuming and prone to human error or require complex data processing, making them inefficient and error-prone.
Innovation Solution
A track anomaly detection system (TADS) installed on guided vehicles, using a scanning system with a laser emitter and an array of photodiodes to automatically scan the track surface, process signals for anomalies, and optionally acquire images of detected anomalies, reducing data processing and implementing efficient detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of the track is used, then human error can be detected, but the process is time consuming
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical scanning system consisting of a laser emitter and photodiode array. The laser emits light that reflects off the track surface, and the photodiodes convert the reflected light into electrical signals for automated analysis, eliminating human involvement in the detection process while maintaining high accuracy.
Solution Approach 2:
The system enables self-service detection by automatically scanning the track, processing the reflected light signals, and identifying anomalies without requiring human operators. The processing system autonomously analyzes the electrical signals from the photodiodes to detect track defects, making the inspection process independent and continuous.
2Extent of automation
If image processing with machine learning is used, then automatic detection is achieved, but complex calculations and large data processing are required
Solution Approach 1:
The patent extracts only the essential features needed for anomaly detection by using a photodiode array that directly converts optical reflections into electrical signals. Instead of processing complete images, the system extracts signal intensity variations from specific photodiodes that correspond to track surface features, significantly reducing data complexity while maintaining detection capability.
Solution Approach 2:
The system changes the parameter being measured from complete image data to electrical signal intensities from individual photodiodes. By monitoring changes in signal intensity patterns across the photodiode array, the system detects anomalies through parameter variations rather than complex image analysis, simplifying the processing requirements.
3Measurement precision
If LIDAR technology is used, then 3D track modeling is achieved, but large amounts of data must be processed
Solution Approach 1:
The patent segments the track surface detection into discrete photodiode elements, where each photodiode monitors a specific portion of the reflected light. This segmentation allows the system to detect geometric anomalies through localized signal variations from individual photodiodes rather than processing complete 3D point clouds, reducing data volume while maintaining precision.
Solution Approach 2:
Instead of capturing complete 3D models of the entire track, the system uses partial action by focusing only on the reflected light patterns from the laser line that contact the track surface. The photodiode array captures only the necessary optical information to detect surface anomalies, avoiding the excessive data generation of full 3D LIDAR scanning while maintaining detection precision.
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
Enables rapid and accurate detection of track anomalies, reducing human error and data processing complexity by analyzing signal patterns and triggering image acquisition only when anomalies are detected, thus improving safety and efficiency in railway maintenance.
Implementation Method 1
the array of photodiodes is configured for capturing light scattered by the track surface in response to the incident ray
Implementation Method 2
the array of photodiodes is configured for capturing light scattered by the track surface... processing system being configured for identifying or detecting an anomaly of the track surface by processing a signal outputted by each photodiode
Data Source
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AI summary
The present invention concerns a track anomaly detection system and a method for automatically detecting a surface anomaly of a railway track, the system comprising: - a scanning system (11) configured for automatically scanning at least a portion of the track surface, said scanning system (11) comprising a laser emitter (111) and an array (112) of photodiodes (P), wherein the laser emitter is configured for emitting an incident ray towards the track surface according to a predefined angle (θ) and the array (112) of photodiodes (P) is configured for capturing light scattered by the track surface in response to the incident ray (R1); - - a processing system (12) connected to the scanning system (11), said processing system (12) being con-figured for i) detecting an anomaly of the track surface by processing a signal outputted by each photodiode (P) in response to the captured light, ii) for associating to each detected anomaly a position, and iii) for signaling the detected anomaly by sending, for each detected anomaly, a signal configured for encoding said position of the detected anomaly.