Research And Application Of Video Surveillance System In Coal Mine Water Disaster Prevention

China is the world’s biggest producer of raw coal, is also the most serious water damage underground. Terms of the extent of the harm, the coal mine water disaster is the second largest coal mines after the gas disaster disaster. Mine water inrush generally include the mined-out areas permeable and water inrush from fault and cave water inrush etc.the cause of these incidents are many and varied, such as the rainy season caused by surface water, groundwater surge mining face in roof and floor faults hose rupture, blind exploitation of the gob area, underground cave penetrated permeable, and all of these factors together result to inrush.Seeking practical theory and method of water inrush forecast is always an important element of the work of mine safety. Many scholars and experts have done a lot of research in this area and the corresponding results. Starting from the basic factors of water inrush forecast, the attempt by the new method, to obtain new water inrush information, thereby increasing the accuracy and certainty of the existing coal mine flood forecast method.This study apply video surveillance technology to mine water bursting forecast information monitoring. Focusing on the intelligent recognition method based on digital image processing in mine water inrush and its main feature extraction, researching the application of modern computer image processing technology in the water inrush automatic detection. By arranging the image sensor in water inrush prone areas, given a water inrush automatic detection method based on image processing, For a quick grayscale the uneven image correction method, the degraded water inrush image enhancement and denoising, and then threshold segmentation, extracted linear features in the image, Finally, identifing regional by the linear characteristic from the original grayscale image.Using digital image processing techniques to real-time acquisition of images preprocessing, segmentation, extraction of water inrush characteristic, the system achieve the water inrush site automatically identify and overcome the previous manual site survey time-consuming, consumption of human, risk of detection, subjective error greater.The calculation of the the regional characteristic parameters of the water inrush is one of the basis for the evaluation of coal mine safety level. In the feature extracting portion, the paper by the statistics of the pixel point, calculate the size of the area as the feature information. Finally, the amount of extracted features as a set of parameters used in the feasibility of multi-sensor data fusion technology for coal mine flood forecast,the predicted results contrast with the actual underground scene detection results show it can be relatively satisfied with the effect, the result shows that the method feasibily, accurately and effectively.Using visual programming language Visual C++2008combine OpenCV computer vision library developed image processing and analysis software. The software integrates a the water inrush image processing and analysis algorithms, including image preprocessing and image feature extraction algorithms, Embedded a water inrush image features database management system, which can store extracted image feature value directly for further analysis an identification. The processing and analysis of the results of the image can be displayed on the screen, The system interface is friendly, easy to operate.The system for coal mine water inrush detection method provides a new idea, and image processing tasks similar environment to be learned.