Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation
In the process of open-pit mining, the system parameters determine the economic benefit and production efficiency of the mine. Conventional optimization involves building a system model for the process parameters. However, complex large-scale systems such as open-pit mining are difficult to model, r...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/7654893 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832548409017368576 |
|---|---|
| author | Zhang Zhao Ruixin Zhang Jiandong Sun Shuaikang Lv |
| author_facet | Zhang Zhao Ruixin Zhang Jiandong Sun Shuaikang Lv |
| author_sort | Zhang Zhao |
| collection | DOAJ |
| description | In the process of open-pit mining, the system parameters determine the economic benefit and production efficiency of the mine. Conventional optimization involves building a system model for the process parameters. However, complex large-scale systems such as open-pit mining are difficult to model, resulting in a failure to obtain effective solutions. This paper describes a system simulation method for the process parameters involved in open-pit mining. The nature and interaction of each component of the system are analyzed in detail, and the logical flow of each layer of the system is determined. Taking the basic operational linkages of the equipment as the system drivers, we obtained the operational flow of dragline information. The barycentric circular projection method is used to simplify the control logic of the system, and a system storage state model is constructed to identify dynamic changes in the system and obtain the operation parameters of the dragline. A discrete event system is used for quantitative modeling, and the event step method is employed to advance the simulation process and obtain decision information. Finally, simulations are performed using various system parameters. The simulation results show that the maximum efficiency is achieved when the dragline height is ∼13 m, giving a capacity of 4276.52 m3/h. Error analysis indicates that the modeling error is minimized using a simulation correction coefficient of α = 0.94. |
| format | Article |
| id | doaj-art-8a6684245f044189a33e756d8be0a18c |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-8a6684245f044189a33e756d8be0a18c2025-02-03T06:14:11ZengWileyAdvances in Civil Engineering1687-80942022-01-01202210.1155/2022/7654893Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System SimulationZhang Zhao0Ruixin Zhang1Jiandong Sun2Shuaikang Lv3School of Energy and Mining EngineeringNorth China Institute of Science and TechnologyNorth China Institute of Science and TechnologySchool of Energy and Mining EngineeringIn the process of open-pit mining, the system parameters determine the economic benefit and production efficiency of the mine. Conventional optimization involves building a system model for the process parameters. However, complex large-scale systems such as open-pit mining are difficult to model, resulting in a failure to obtain effective solutions. This paper describes a system simulation method for the process parameters involved in open-pit mining. The nature and interaction of each component of the system are analyzed in detail, and the logical flow of each layer of the system is determined. Taking the basic operational linkages of the equipment as the system drivers, we obtained the operational flow of dragline information. The barycentric circular projection method is used to simplify the control logic of the system, and a system storage state model is constructed to identify dynamic changes in the system and obtain the operation parameters of the dragline. A discrete event system is used for quantitative modeling, and the event step method is employed to advance the simulation process and obtain decision information. Finally, simulations are performed using various system parameters. The simulation results show that the maximum efficiency is achieved when the dragline height is ∼13 m, giving a capacity of 4276.52 m3/h. Error analysis indicates that the modeling error is minimized using a simulation correction coefficient of α = 0.94.http://dx.doi.org/10.1155/2022/7654893 |
| spellingShingle | Zhang Zhao Ruixin Zhang Jiandong Sun Shuaikang Lv Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation Advances in Civil Engineering |
| title | Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation |
| title_full | Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation |
| title_fullStr | Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation |
| title_full_unstemmed | Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation |
| title_short | Optimization of Overcast Stripping Technology Parameters Based on Discrete Event System Simulation |
| title_sort | optimization of overcast stripping technology parameters based on discrete event system simulation |
| url | http://dx.doi.org/10.1155/2022/7654893 |
| work_keys_str_mv | AT zhangzhao optimizationofovercaststrippingtechnologyparametersbasedondiscreteeventsystemsimulation AT ruixinzhang optimizationofovercaststrippingtechnologyparametersbasedondiscreteeventsystemsimulation AT jiandongsun optimizationofovercaststrippingtechnologyparametersbasedondiscreteeventsystemsimulation AT shuaikanglv optimizationofovercaststrippingtechnologyparametersbasedondiscreteeventsystemsimulation |