Calibration of Mine Ventilation Network Models Using the Non-Linear Optimization Algorithm

Abstract

Effective ventilation planning is vital to underground mining. To ensure stable operation of the ventilation system and to avoid airflow disorder, mine ventilation network (MVN) models have been widely used in simulating and optimizing the mine ventilation system. However, one of the challenges for MVN model simulation is that the simulated airflow distribution results do not match the measured data. To solve this problem, a simple and effective calibration method is proposed based on the non-linear optimization algorithm. The calibrated model not only makes simulated airflow distribution results in accordance with the on-site measured data, but also controls the errors of other parameters within a minimum range. The proposed method was then applied to calibrate an MVN model in a real case, which is built based on ventilation survey results and Ventsim software. Finally, airflow simulation experiments are carried out respectively using data before and after calibration, whose results were compared and analyzed. This showed that the simulated airflows in the calibrated model agreed much better to the ventilation survey data, which verifies the effectiveness of calibrating method.

Temperature Prediction Model in the Main Ventilation System of an Underground Mine

“…This becomes increasingly relevant as shallow deposits run out and mineral resources are extracted at greater depth, and as mines increase in size with more infrastructure, with an intensification in the use of mining equipment [3,4] and human resources [5]. This creates a situation where the potential effects must be defined [6], with a need to determine the best possible conditions related to performance in the workplace [7][8][9][10].…”

Investigating the Impact of Caving on Longwall Mine Ventilation Using Scaled Physical Modeling

“…Currently, three main research methods are used to improve the understanding of ventilation in longwall mines: numerical modeling, field studies, and physical modeling. Numerical modeling studies have primarily been conducted using the computational fluid dynamics modeling (CFD) [5][6][7][8][9][10][11][12] and ventilation network simulators [13,14]. CFD provides the advantage to model fluid flow and estimate gas concentration in inaccessible areas of the longwall mines, such as gobs.…”

Improving the process of coal extraction based on the parameter optimization of mining equipment

“…In the paper [16], there is the methodology of selecting the stoping equipment using graphs and network models, and in the paper [17], there is its practical use. It is worth noting that this approach was used to solve transportation issues [18], tasks for the resource allocation at the mine [19], as well as for ventilation of mine workings [20], as well as surface mining of mineral deposits [21,22].…”