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Research On Gradual Air Volume Method For Optimizing Mine Ventilation Network

Posted on:2020-08-24Degree:MasterType:Thesis
Country:ChinaCandidate:T L WangFull Text:PDF
GTID:2481306032460394Subject:Safety science and engineering
Abstract/Summary:PDF Full Text Request
Reasonable mine ventilation system is the most important link to ensure the safety of mine production,improve the working safety and health conditions of underground personnel and prevent and resist disasters.In the practice of mine ventilation,almost all ventilation systems need to rely on ventilation control devices such as dampers or auxiliary fans to achieve on-demand air distribution.One of the purposes of analysis and optimization of mine ventilation system is to determine the location,quantity and size of these ventilation control devices reasonably so as to reduce the energy consumption or total cost of ventilation.It is of great significance to determine the optimal solution of mine ventilation network for adopting more economical and reasonable optimization methods.Based on the air balance law,air pressure balance law,air resistance law,the upper and lower limits of mine air demand and the upper and lower limits of tunnel air resistance regulation,a mathematical model of mine ventilation network optimization with minimum energy consumption as the objective function is established.Based on the wind pressure balance law and the wind resistance law,the gradual calculation method of air volume is studied,and the optimal solution of the optimization of ventilation network is verified by an example analysis.Based on the basic theory,graph theory and planning theory of air flow in ventilation network,the air volume incremental method can be used as a calculation method for optimization of ventilation network,and its correctness can be judged by examples.The research results further improve the optimization theory of ventilation network and can guide the regulation of ventilation network in the field.
Keywords/Search Tags:Mine ventilation, Network optimization, Wind demand branch, Directed path, Wind volume incremental method
PDF Full Text Request
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