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System Introduction

In order to perform real-time fault detection for the moving train and help train inspection institutes to raise fault detection rate, the Trouble of Moving Freight Car Detection System (TFDS) is successfully applied. The TFDS system is an intelligent system that integrates high speed digital image collection, real-time processing of mass image data and precise positioning pattern recognition technology. The application of TFDS realizes the transition from "manual detection and maintenance" to "computer-based detection, manual maintenance". It reduces the labor intensity of the train inspector, improves transportation efficiency and ensures transportation safety. Here, machine vision technology is used for the dynamic detection of key parts that are essential to safe train travel.

System Principle
The TFDS system uses high speed video cameras to collect the images of a moving train, analyses and processes them using computers to figure out the speed and type of the train, store the images of the key parts of the train and display them on computers, as well as print and transmit them. Also, the defects, fractures, losses and other faults of the parts and accessories of the train can be detected in a computer-aided manner, so as to dynamically check the quality of the train.

The system consists of two parts: trackside image acquisition station and train testing center. The trackside image acquisition station is composed of wheel sensor (alnico), auto vehicle identification system, front-end information processor, image server, high speed image acquisition equipment, light source compensation equipment, trackside equipment protection device and network transmission equipment. The train testing center is composed of network transmission equipment, network server and image browsing terminal.

System Diagram


Main Functions of System

1) Automatically shooting and selecting the images of critical parts such as steering bogie, braking device and hook buffer mechanism of the train.
2) Analyzing the images and finding out corresponding faults through human-machine cooperation.
3) Automatically identifying the number, type and moof the train, and counting axles and carriages.
4) Automatically detecting the speed of a running train.
5) Reading train number information directly from Automatic Equipment Identification (AEI) system.
6) Automatically creating the reports that Train Inspection Institute uses frequently.
7) Intelligent identification of some faults.
8) Realizing the sharing of surveillance and detection information.

System Configuration

Configuration for image acquisition
Chassis: IPC-810B/6114P4A/7270ATX
Motherboard: FSC-1814V2NA Full-size CPU Card
Accessories: LGA755 Core TM 2 Duo Processor/DDRII 667 2GB/160G
Configuration for synchronous control
Chassis: IPC-810B/6114P4A/7270ATX
Motherboard: FSC-1812V2NA Full-size CPU Card
Processor: Supports LGA775 Celeron®/Celeron® D/CoreTM 2 Duo CPU
Memory: Supports 533/667/800MHz DDR2 memory, up to 4GB
Onboard Video: Two VGA ports allow for dual-display
HDD Interface: Supports SATA II System Evaluation

System Evaluation
The application of TFDS reduces the labor of manual fault detection and improves detection efficiency, achieving the transition from "manual detection" to "machine detection". The system adopts EVOC FSC-1814V2NA full-size CPU card with onboard graphics card for image collection, ensuring the transmission speed of images. The system has been widely applied in railway industry, making train inspection more information-based and modernized.

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