Research And Implementation Of Mine Water Hazard Early Warning Method

Flooded wells or mine disaster caused by coal mine water-bursting have threaten on coalmining and people’s life safety. In order to reduce the loss caused by coal mine water-burstingand lower the accident risk for coal mining enterprises, it is quite meaningful and valuable topromote the research on efficient method of mine water hazard early warning.Some hydrogeological parameter such as water level, water pressure, water temperature,flow rate, and electroconductibility, would more or less occur earlier than mining waterhazard. It will be useful to develop the early warning system of mine water hazard by analysisof supervised dataset which generated from those parameters mentioned above fromsupervised mine area in time. As the monitored data from each supervised point reflected thelocal hydrogeological, with dispersive distribution. It is important to re-structure the wholearea hydrogeological parameter which will reflect the real situation of mine, in aim of this, weused spatial interpolation method to interpolate spatial data set which is spatial autocorrelation,and in this way we got the warning dataset of entire mine. The next stage was to display thewarning dataset in visualization way. First we developed the3D model of warning dataset bygray level space mapping method, then, segmented the3D model by gray intensity layeredway, and clustered the color parameter of color transformation function which was designedby the mapping of gray level and color space system. After that, we calculated the pseudocolor transformation function by threshold interval of gray level; later, solved the color stripewhich was pseudo encoded by color gradual interpolation in smooth transition approach. Inthese methods, we got the visual warning dataset properly. After we got the warning dataset,we used collaborative local extremum search method on the warning dataset which came fromsupervised area at some moment, and then utilized rate local extremum search method on thechanged rate of warning data set in the same moment, after that, exported the measured value of space local variation at the same point. At last, we did some research on warning decisionrule upon the warning data set. In this decision rule, we used weighted basis method on theresult of warning analysis by warning parameter weight set by user and extreme searchthreshold weight, and determined the warning decision by the warning analysis result whichexceeded the warning threshold.Our work in this paper is implementing the mine water hazard warning system bydevelopment tools as Visual C++6.0, SQL SERVER2000and Open GL. We embed thewarning module into dynamic mine hydrological monitoring system, according to theoperation of Baodian mine and Dongtan mine, it is shown that our warning methods playedimportant role in mine warning system, after improving the software of our work, it ispromising to be applied into real mine warning system.