Design Of Water Disaster Emergency Warning System For Coal Mine

With the rapid development of China’s economy, growing demand for coal and increasing coal production task, the safety problem of coal mine has become particularly prominent. In recent years, the death toll of China’s coal mine accident has been ranked first in the world, not only the basis of safety facilities are inadequate for China’s coal mine, and staff safety awareness is poor, but also our early warning of coal mine safety management is carried out with a slow pace. The accident rescue has unfavorable factors such as the extent of the damage, emergency rescue difficulties, because of Geographical characteristics of the coal. But it is different from other coal mine accidents, if the water disaster of coal mine can be predicted in advance, water drainage, setting aside coal pillar and other preventive measures can be used to avoid water inrush or reduce the losses caused. Coal mine water disaster emergency warning system can forecast water inrush, reduce the frequency of occurrence of water inrush, reduce coal mine casualties, improve the economic efficiency of enterprises and the government’s destination image in the public heart. So it has high economic and social benefits. Currently, less coal mine water disaster emergency warning system is capable of practical application in the enterprise, this study most remain in the realm of theory, applicability needs to improve further.This paper puts forward the view to design a water disaster emergency warning system for coal mine. It includes two important modules and three auxiliary modules. Two important modules are data monitoring and prediction, three auxiliary modules are user management, data query and after the information into. Firstly the monitoring indicators are built based on analysis of the main factors of mine water-related disasters, and the Access database and VB are used to design landing, data entry, query and the user management interface for coal mine.Secondly, based on the comparative analysis on the conventional algorithm to predict coal mine burst water-related disasters, the BP neural network integrated model is selected, and the warning threshold value are determined according to the relationship between the maximum displacement of the water inrush and mine coal burst water-related disasters. The forecasts and ex post information input interface are designed by matlab, Access database and VB.Finally, the Pingdingshan X coal is selected to be a sample for the paper. Data of four monitoring points is enter into the early warning system, and the appropriate measures are made in accordance with the output of the early warning system, to verify the operability and suitability for the system. The system can be used to monitor the possibility of water inrush, nip water inrush, reduce the enterprise safety production costs, and improve the economic and social benefits.