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Research On Coal Mine Fire Wind Smoke Control And Personnel Escape Information Fusion Technology

Posted on:2020-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:C N DingFull Text:PDF
GTID:2381330596977527Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
Coal mine alley network fires often have very serious consequences,and it is very difficult to rescue it.The idea of escape route selection based on personnel information and the idea of establishing active disaster relief for fire remote disaster relief system—remote control disaster relief after fire were put forward,so the safety fire extinguishing and personnel escape were realized.Through a large number of FDS simulation analysis of major disaster factors such as high temperature heat damage,CO concentration and environmental visibility,the lack of personnel distribution information for the fire disaster relief system,using the cellular automata algorithm,using the improved Dijkstra algorithm to calculate unsteady smoke The flow elimination route and the personnel escape route,and through the establishment of a multi-information fusion platform of complex wind network fire smoke characteristics and personnel distribution,the air volume regulation and disaster relief of the smoke flow area were realized.In order to deeply study the multi-information fusion technology of mine fire control and personnel escape and improve the efficiency of escape and rescue,the concept of roadway static difficulty and dynamic health was introduced to quantify the complexity of roadway and the impact of smoke pollution.Based on the actual structure of the mine wind network,the cellular automaton model was established.The variation rules of smoke flow,temperature and visibility simulated by FDS were used as the qualitative analysis basis of the escape route selection,and then combined the escape difficulty of the roadway to achieved optimal escape is achieved the optimal escape path.The practical application of the optimal escape route screening technology was carried out in the 12#coal seam of Tangshangou Coal Mine.By establishing the roadway escape difficulty model,the difficulty of each branch roadway was calculated,and the comprehensive influence of various environmental parameters on the dynamic health of the roadway was considered.Three escaped paths with low difficulty were screened out by cellular automata calculation method.Then,according to the personnel health model,the comprehensive effects of CO concentration,temperature and roadway environmental visibility on the two escape routes were analyzed.The optimal escape route after the disaster was V12-V11-V10-V4-V1.According to the characteristics of smoke flow regulation in the wind tunnel of the roadway,a multi-information fusion platform for coal mine fires was established,so that the parameters of fire dynamic change parameters could be grasped.Then,according to the key parameter information fed back,the remote control of the smoke flow disaster relief system transmission command,open the damper to regulate the air volume distribution of the smoke exhaust roadway,and create favorable conditions for fire fighting and disaster relief.At the same time,the coal mine intelligent monitoring system interacted with the remote damper adjustment system by monitoring the dynamic tracking and feedback of the mine ventilation parameters after the fire,and carries out simulation experiments in Tangshangou Coal Mine to verify the functional effects before and after the damper was opened.
Keywords/Search Tags:FDS, escape path, escape difficulty, escape health, remote disaster relief
PDF Full Text Request
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