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Research Of Coal Roof Flood Analysis Model Based On SVR

Posted on:2016-08-02Degree:MasterType:Thesis
Country:ChinaCandidate:Z WeiFull Text:PDF
GTID:2191330479986030Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
At the first beginning,borehole data is kept with paper form and enetechy,after that,they are kept with database that become standard gradually,but there are some problems:the difficulty of data sharing andquerying;the way of building database is not general;format confusion;spatial data which is kept by common attributes storage does not support spatial retrieval;spatial data which is kept by binary geometry storage do spatial operation inefficiently.Study on above problems in this paper,it is important practical value for normalization,consistency,sharing of borehole data management and the realization of companies,mines,every technique departments of minging erea use borehole data web application.In this paper,based on technology and theory of tile map cache,ArcGIS Server,Flex and so on,borehole data management system based on WebGIS is constructed,meanwhile,prototype system is developed;by combining attribute data with spatial data,realize several querying:querying attributes by pictures, querying pictures by attributes,querying attributes by attributes and the querying of cross-section drawn about borehole;research on map tile technology borehole data web application borehole data:multistage extensive catalog organization model of map tile,detailed realization progress of map tile algorithm,map part updated algorithm,cache strategy of map tile at client side,the show and all kinds of operations based on Flex of map tile at client side.The water-inrush from roof of coal is one of common mine disaster, it is important influence on production and management of coal enterprises, meanwhile, it also bring about huge threaten to safety production of coal. It is important realistic significant for ensuring safety production of coal and sustained development of coal industry in China that how to analyse the roof water-inrush condition of coal, then doing forecasts and reasonable safety evaluation for its water gushing and water-inrush and making reasonable and effective water control measures. Roof water-inrush of coal is complicated result that caused by all kinds of factors to affect, and it is involved multidisciplinary and multi-ranging comprehensive research topic that need to do comprehensive analyse and evaluate for roof water-inrush characterized factors. Datun Kongzhuang coal mine as example in this paper, in connection the characteristics of small sample and non-linear of with roof water-inrush information of coal, SVR theory is complicated to construct prediction model of roof water-inrush characteristic factors to water gushing, and doing prediction of water gushing and water-inrush risk divided for water-inrush of coal based on above model.For promoting prediction precision of model,above on analysis of mine geology and hydrogeology geology, AHP of combining qualitatively with quantitative analysing roof water-inrush main factors is applicated to constructe roof water disaster evalution index system and research on all main factors quantitative method.Research result show: main factors of roof water-inrush are faults flaw complicated、loosebed aquifer、Thickness of aquiclude and height of transmissive fracture belt,they are interaction and combined effect on it. An application of Co-Kriging based on geo-statistics,take advantage of faults flaw as associated information to added interpolation and promoting faults complexity quantitative precision, for remedy defect of faults fractal non-show faults flaw vertical growth information and solving complexity of exploratory data loss.An application of geographically weighted procedure for Thickness of aquifer do geographically weighted by different aquifers at different places,to promote impact value quantitative of aquifer to roof water-inrush and prediction precision of roof water disaster model.
Keywords/Search Tags:roof water-inrush, small sample, SVR, Co-Kring, GWR
PDF Full Text Request
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