Gas Outburst Prediction System Based On Data Mining And PCI Bus

Coal mine production safety situation has been more severe, one of the main threats is gasoutburst in coal mine production safety. As there are complex links between a variety of factorsaffecting Mine gas outburst，and gas outburst with a clear nonlinearity and uncertainty, at thesame time the existing coal mine gas outburst prediction systems also face many problems to besolved, Such as data collection part is not stable enough, the data transmission is slow,vulnerable to interference during transmission, data processing efficiency and accuracy is nothigh and so on. While coal mine gas prediction system as a whole, including factors affectinggas collection, data transmission and processing, these three aspects are indispensable. Any oneissue in the forecasting process have seriously affected the outlet gas outburst prediction ofreal-time, reliability and accuracy.In this paper, in view of the complex geological conditions of coal and gas predictionsystems existing problems, data mining technology and PCI bus technology is used to design thehigh precision gas outburst prediction system.In this paper, do the following three areas studied.一data mining according to the gas outburst prediction. We introduces data miningconcepts and tasks, comprehensive comparison and analysis of various data mining algorithms,and obtaine for Rough set and SVM algorithm based on dynamic kernel function for gas outburstprediction. By analyzing the gas outburst mechanism and process, This paper gained prominencein the gas main factors,using the analytic hierarchy process,二data acquisition system design of factors affecting gas outburst.By the work of on-siteneeds analysis, and hardware selection，choose the IT company’s TMS320C6713DSP chips ascore chips, data acquisition system design of factors affecting gas outburst is designed, and usesthe PCI bus technology to achieve data acquisition system and PC communication.三LABVIEW and MATLAB programming software is used for the hybrid programmingdesign. Details the use of LABVIEW and MATLAB software. LABVIEW software is used PCmonitoring software. Realize dynamic display, data storage for the data acquisition systemcollecting data, and the MATLAB program is written into the data mining algorithm inLABVIEW. The data of LABVIEW monitoring is used in gas outburst prediction. LABVIEWand MATLAB programming software is used for the simulation algorithm using the actual test data in the coal. The simulation results are summarized and analyzed, The results show that thekernel function of SVM based on dynamic algorithms for design purposes;...