Study On The Perdictive Methid Of Coal Mining Water Inrush Based On Multi-parameter And System Design

The coal industry is one of the most dangerous energy industries, its exploitation has been subjected to many conditions, the threat of groundwater which is an important factor in coal mine production safety. Recently, several important, large water inrush events are often found in newspapers. The water inrush of coal mines causes by some complex elements, involving hydrology, geology, mining effect etc.. At present, it is short of real-time dynamic monitoring in the excavating process, which jeopardized to people's lives and wealth.According to the problems of the lack of real-time monitoring and single detection method during the excavating process, combined with neural network and the D-S evidence theory fusion algorithm, it is proposed that the predictive method of coal mining water inrush based on multi-parameter is studied. This method is the integration of sensing technology, data fusion technology and automation technology. It achieves the aim of the mine sensor data collection in time, real-time transmission and determination of the water inrush level ,to provide the basis for preventing water damage. At present,the datas about water inrush are still short, while large amounts of datas are required in water inrush prediction. The method is proposed that distributed multi-directional sensors are arranged in the mining working face. Firstly,many factors affecting workface inrush are determined.Through analysis of the mechanism of coal top and bottom board inrush, the main factors are obtained,such as roadway gutter water level, aquifer water level, top, bottom board pressure and the amount of water before driving side and so on.Secondly, the ShaPing and ZhangCun coal in Shanxi Province are analyzed, according to two different hydrological, geological structure conditions, correspondingly arranging the sensors to measure the dynamic parameter.The dynamic water regimen database is established, filling the blank of the dynamic hydrologic data. The system takes VC++ as a software development platform and choose Microsoft SQL Server as the database system,adopting structure of C/S as development model,combing with the Ethernet standard PROFINET Communication technology. It realizes the real-time data transimission about the pressure on the coal mine,water level,temperature,flow.Then the collected datas are pretreated and transmitted to the underground substation flameproof computer putting into the database. At the same time, the collected datas are analyzed further, using the fusion algorithm, and finally the safety level about coal water inrush is reached.It is made a case study which used the data of 3 # coal in ZhangCun of Shanxi Province,10 points has been taken as the group sample for building prediction model from the mining and exploration data.And the fusion algorithm is used to evaluate water inrush level in mining.The results show that the fusion algorithm can accurately assess the situation of underground mine water inrush ,it has anti-jamming capability and high accuracy and it's proofed that the system is effective and feasible.