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Comprehensive Detection Train

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Submitted By zhaozhe46
Words 466
Pages 2
Comprehensive detection train is a train equipped with special testing equipments. The train can detect the technical indicators and related information which affect the running safety in aspects of railway track, traction power supply, communication, signal and surrounding environment. It’s a EMU with positioning synchronization, high-capacity data transmission and analytical processing functions. The basic duty of the comprehensive detection train is tour moving fault detection on tracks. Combination positioning methods of train is an important way to improve the reliability of train positioning and accuracy of the point of failure. The multi-sensor information synchronization is an important reason affecting the positioning accuracy. In order to ensure its correction and effectiveness of combination-location information fusion algorithm,as well as to compare and evaluate different fusion algorithms, research on the pretreatment method of the multi-sensor information is necessary.

This paper takes the example of resonant voltage measurement with high reliability as the test program of compensation capacitor. To improve the extent of the precise location in point of failure as well as to improve the continuity and real-time of data feedback, finally this paper selects the GPS / DR / MM combination- orientation program to provide positioning information for the dynamic detection system, by comparing a variety of positioning systems. In order to get the most accurate output data, the paper use the adaptive federated Kalman filter algorithm to do the multi-sensor data fusion. Then the paper exchanges the positioning subsystem data and test subsystem data through Ethernet. Using the method of setting the discriminated threshold to discriminate and count the test results, and finally got the completion of the fault locating function. After that, by using electronic map matching, provide and display the accurate positioning of the real-time fault.

This issue use the ARM9/Linux embedded development platform as the core. It describes the design of system’s hardware and software systematically. By using the rich on-chip resources, the paper finishes the data collection of GPS module, network control module etc. and finishes the hardware design of compensation capacitor test module, memory modules etc. At the same time, the paper finishes the software design of GPS data extraction module, joint Kalman filter module, map matching module and compensation capacitor discrimination and statistics module.

The paper starts from the engineering point of view, through theoretical analysis on dynamic detection of the track circuit compensation capacitor, does the Matlab simulation for the results of the analysis. Theoretical analysis and Matlab simulation results show that combination- orientation program and the filter in paper can both effectively improve the accuracy of comprehensive testing trains in the detection process as well as to improve the rail safety and stability effectively. The results can be applied to engineering use.

Keyword:
Multi-sensor, Information Fusion, Compensation Capacitor, Kalman Filter

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