Metro Vehicle Gauge Detection Using 3D Laser Radar
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current metro vehicle gauge detection methods are inefficient and prone to human error, as they rely on manual inspections by drivers or ground personnel, which can lead to safety risks due to the difficulty in distinguishing subtle errors, especially when vehicles are out of shape or have fallen cables, and the Communication Based Train Control System (CBTC) lacks gauge detection capabilities.
Innovation Solution
A method and system utilizing three-dimensional laser radar to obtain partial contour images of a metro vehicle as it passes through a transition track, processing these images to create a complete three-dimensional contour image, comparing it to preset gauge standards, and sending the judgment result to an Automatic Train Supervision (ATS) module to determine if the vehicle is within the safe gauge, allowing for automatic control of the vehicle's passage or maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection by drivers or ground personnel is used, then the gauge detection can be performed, but the efficiency and accuracy of detection are low due to human factors such as lack of concentration, sleepiness, and difficulty in distinguishing subtle errors
Solution Approach 1:
The patent replaces the manual mechanical inspection system with an automated optical detection system using three-dimensional laser radar. The laser radar emits laser beams to scan the vehicle contour and captures images automatically, eliminating human inspectors and their associated errors while improving both detection accuracy and efficiency.
Solution Approach 2:
The system enables self-detection by the vehicle itself as it passes through the transition track. The vehicle's own movement through the detection zone triggers automatic scanning and image capture, allowing the system to perform detection without external human intervention while maintaining continuous operation.
2Reliability
If manual inspection is used, then gauge detection can be performed, but the inspection is unstable due to different conditions of inspectors
Solution Approach 1:
The patent replaces the variable human inspection process with a standardized automated optical system. The three-dimensional laser radar and image processing system provide consistent detection criteria and methods, eliminating the instability caused by different inspectors' conditions while managing system complexity through integrated automation.
Solution Approach 2:
The system transforms the inspection process from subjective human judgment to objective parameter-based detection. By measuring specific geometric parameters of the vehicle contour using laser ranging and comparing them against predefined gauge standards, the system achieves stable and repeatable results independent of inspector conditions.
3Adaptability or versatility
If CBTC system is used for train control, then train operation control is achieved, but the system lacks gauge detection capability
Solution Approach 1:
The patent integrates gauge detection functionality into the existing CBTC system infrastructure. The three-dimensional laser radar and image processing system serve dual purposes: detecting vehicle gauge compliance and providing contour information that can be used for other operational purposes, thereby enhancing system versatility without proportionally increasing complexity.
Solution Approach 2:
The system introduces an intermediary detection module between the vehicle and the CBTC control system. This module captures vehicle contour data and communicates gauge compliance status to the CBTC system, allowing CBTC to gain gauge detection capability through this intermediary interface without fundamentally redesigning the entire control system.
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
This approach enhances the efficiency and accuracy of gauge detection, reduces safety risks by enabling automatic detection, and improves the timeliness and accuracy of manual verification, ensuring vehicles are safely in- or out-of-storage.
Implementation Method 1
a three-dimensional laser radar is configured to detect a plurality of partial three-dimensional contour images of the vehicle by using an emitted laser scanning surface
Implementation Method 2
detect a plurality of partial three-dimensional contour images of the vehicle by using an emitted laser scanning surface
Data Source
AI summary
The present disclosure provides a method and system for detecting a gauge of a metro vehicle. The method includes obtaining a plurality of partial three-dimensional contour images and a first identification information of the vehicle during a course of the vehicle passing through a transition track; processing the plurality of partial three-dimensional contour images of the vehicle to get a complete three-dimensional contour image of the vehicle; determining a gauge judgment result of the vehicle according to the first identification information, a preset gauge standard image library and a complete three-dimensional contour image of the vehicle; and sending the gauge judgment result of the vehicle to an Automatic Train Supervision (ATS) module. With the method and system for detecting the gauge of the metro vehicle, the efficiency of the vehicle gauge detection is improved and the automatic vehicle gauge detection is achieved.