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Study On Mine Ventilation Parameter Collection Algorithm And Decision Support System

Posted on:2020-04-08Degree:MasterType:Thesis
Country:ChinaCandidate:J Q LiFull Text:PDF
GTID:2381330623965155Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
In order to realize the collection of basic ventilation parameters such as air volume,wind resistance and wind pressure in intelligent ventilation,this thesis studies the collection algorithm of ventilation parameters including the network air distribution algorithm based on nodal pressure energy and the wind volume inversion algorithm based on nodal pressure energy.In terms of the algorithm based on nodal pressure energy,the theoretical feasibility of the algorithm is analyzed,the mathematical model is derived,and the iterative correction and algorithm flow of the algorithm are given.Compared with the traditional algorithm,the algorithm has a faster convergence speed.Aiming at the problem of wind resistance in some underground roadways,the wind volume inversion algorithm based on nodal pressure energy is studied,and the principle of the algorithm is given.The ill-posed problem of the algorithm is solved on the premise of the optimal arrangement of the wind pressure sensor.Based on above algorithm,a mine ventilation decision support system was developed based on the visual graphical user interface developed in the second stage of AutoCAD.It has friendly graphical user interface,advanced algorithm,and is in line with the use habits of field technicians.It can realize the simulation of downhole airflow state and assist technicians to make scheme decisions.Topological relationships of the ventilation system are studied and the ventilation network,ventilation,power,ventilation facilities,storage structure,studied the connectivity analysis,well into the return air analysis,path analysis,such as topology analysis algorithm,fan operation analysis,maximum resistance route analysis,three resistance distribution analysis,wind speed of roadway analysis,product such as hole,effective air volume rate analysis such as data analysis algorithm.By applying the research results of ventilation decision support system to Sihe coal mine of Jinmei group,the ventilation system model is established and the ventilation indexes are analyzed.This thesis has 22 pictures,16 tables and 60 references.
Keywords/Search Tags:mine intelligent ventilation, node pressure energy, network solution, air volume inverse wind resistance, decision support, secondary development of AutoCAD
PDF Full Text Request
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