TY - JOUR
T1 - Mine Ventilation Network Optimization Based on Airflow Asymptotic Calculation Method
AU - Li, Bing Rui
AU - Inoue, Masahiro
AU - Shen, Shi Bao
N1 - Publisher Copyright:
© 2018, Pleiades Publishing, Ltd.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The main objective of mine ventilation network optimization studies is to develop a reasonable method for ventilation system control that minimizes the total cost of mine ventilation. The fundamental principles for ventilation network optimization are discussed, and a multi-objective optimization model is established from the viewpoint of total cost. Furthermore, an optimization algorithm based on the airflow asymptotic calculation is presented by the hierarchical analysis of objective functions and analysis of the structure characteristics of a ventilation network. In the proposed approach, the regulated branches are determined by the directed path matrix; the optimal solution is obtained by airflow asymptotic calculation using the existing software for ventilation network analysis, and it does not need to solve the large-scale nonlinear programming problem. The results of example analysis validated the reliability of this approach.
AB - The main objective of mine ventilation network optimization studies is to develop a reasonable method for ventilation system control that minimizes the total cost of mine ventilation. The fundamental principles for ventilation network optimization are discussed, and a multi-objective optimization model is established from the viewpoint of total cost. Furthermore, an optimization algorithm based on the airflow asymptotic calculation is presented by the hierarchical analysis of objective functions and analysis of the structure characteristics of a ventilation network. In the proposed approach, the regulated branches are determined by the directed path matrix; the optimal solution is obtained by airflow asymptotic calculation using the existing software for ventilation network analysis, and it does not need to solve the large-scale nonlinear programming problem. The results of example analysis validated the reliability of this approach.
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U2 - 10.1134/S1062739118013413
DO - 10.1134/S1062739118013413
M3 - Article
AN - SCOPUS:85056748624
SN - 1062-7391
VL - 54
SP - 99
EP - 110
JO - Journal of Mining Science
JF - Journal of Mining Science
IS - 1
ER -