Image-based Treatment Of Coal Mine Locomotive Track Performance Study

For coal mine track transport monitoring, there is possibility of mechanical wear and friction arising from the electrical discharge because of the use of rail track circuits and pressure sensors, such as contacting devices. In addition to sensors installed in the following track, there is water underground the tunnel. Serious environment affects the sensors' capability. The system has high cost, large maintenance and bad reliability. This article puts forward the use of video image processing methods for the coal rail transport's monitoring. It uses the pattern recognition, optimal threshold and geometric similarity theory. Then the system achieves contactless visual remote monitoring and measurement.This paper describes a research program which is based on the track of coal locomotive performance of video image processing. It builds a real-time image processing system based on FPGA. It completes the operation of image data collection, format conversion, data receiver, data calculation, data communications etc. It uses FPGA chip as the control core and is composed of initialization module, real-time image conversion module, video capture module, video signal conversion module, video data module, image frame buffer control module, image's pre-processing module, communication interface module and FPGA configuration circuit. The system uses CCD camera system of image sequences obtained by real-time image format conversion module to obtain the required number of images. It achieves median filter and edge detection hardware circuit image pre-processing system into the FPGA image preprocessing. It will be pipelined and paralleled to the processing technology, such as circuit design, in order to improve the processing speed and hardware cost savings.The article uses the VHDL hardware description language to realize the module's design. It uses CPLD and FPGA which are used in software platform of QuratusII6.0. The system achieves timing and functional simulation through the top-down design method.The experimental results show that the system can transport mine locomotive velocity, direction, locomotive data anomalies, such as effective monitoring, as well as the ground control center to the monitor. The provision of monitoring data and image can be monitored. The safety and stability of mine situation in the scene can be directly monitored also.