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Research On Identification Of Coal And Gas Outburst And Migration Law Of Disaster Gas

Posted on:2012-08-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:S G YangFull Text:PDF
GTID:1221330362454373Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
Major accidents in coal mines in China are caused mostly by gas explosion, among which a number of serious ones result from local gas accidents after a certain amount of time. Under this situation,abnormal gas emission type recognition model has been established based on artificial neural network, while using multiple sensors to identify jointly,thus emission locations can be identified,and disaster effect range can be resolved; The diffusion and migration law of disaster gases in ventilation system and ventilation network simulation under unsteady condition has also been researched, through combination of which, solution model for ventilation network and gas distribution under unsteady condition has been established;In this way, a set of software on online identification of coal and gas emission and decision support under emergency has been developed, which can recognize and judge fastly the location and type of abnormal gas emission, analyze and forecast automatically the spread range of disaster gases, With the aid of advice and recommendation for decision support under emergency, online warning and visual of display can be implemented, providing a scientific and fast method for decision support under period of disaster emergency which has great innovation.Main researches are achieved in this essay as follows:①to analyze characteristics of various abnormal gas emission,comparing with peak values on the concentration curve, changes of concentration increased stage and concentration decay stage, duration of abnormal gas emission,thus to come up with features of curves for abnormal gas emission concentration.②using the theory of artificial neural network,to establish an identification model for abnormal gas emission with indications of peak value of concentration, ascent speed(%/min), decaying speed(%/min), whether there are negative indexes character while decaying.③adopting multiple sensors identification methods,to realize the identification and calculation for locations of coal and gas outburst, accident spread range.④combining ventilation network calculation model under unsteady conditions and finite - difference model of one dimensional vertical flow and migration, to establish a uniform calculation model, realizing dynamic simulation of disastrous gas migration in coal and gas outburst process. ⑤using graph theory, to establish calculation method for ranges of catastrophic gases spread and to be spread, thus to develop an automatic power shutoff policy and casualty assessment method based on identification of spread ranges.⑥develope a set of software on online identification of coal and gas emission and decision support under emergency, thus to recognize and judge fastly the location and type of abnormal gas emission, analyze and forecast automatically the spread range of disaster gases,realizing online early warning and visual display, and providing a scientific and fast method for decision support under period of disaster emergency which has great innovation...
Keywords/Search Tags:gas, early warning, coal and gas outburst, decision support, migration law
PDF Full Text Request
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