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首页> 外文期刊>Journal of Computers >Mine Ventilation Optimization Analysis and Airflow Control Based on Harmony Annealing Search
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Mine Ventilation Optimization Analysis and Airflow Control Based on Harmony Annealing Search

机译:基于和谐退火搜索的矿井通风优化分析与气流控制

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—The mine ventilation optimization and airflow control are the mine ventilation system's two important aspects, good ventilation optimization design can deliver fresh air to establish good work environment and provide a scientific and reliable basis to prevent disaster. Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventilation system network, fuses the dynamic perturbation and the simulated annealing to improve the harmony search algorithm, the improved harmony search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm. In the mine ventilation analysis, the improved harmony search through proper tuning these parameters was presented. The simulation results show that the method outperforms the conventional nonlinear programming approach whether from the viewpoint of the number of iterations required to find the optimum solutions or from the final solutions obtained. Mine fire is a very complex physicochemical process. Once it happens, there are lots of poisonous and harmful gas ingredients. Additionally, the fume caused by the fire will block the vision and decrease the visibility, which will impede human evacuation and fire fighting, moreover, it is easy to cause the gas and coal dust explosion. So it is very important for the evacuation of miners and mining salvation to research the air flow control during mine fire. Airflow control based on harmony search has provided a scientific and reliable basis to develop disaster prevention and processing.
机译:- 矿井通风优化和气流控制是矿井通风系统的两个重要方面,良好的通风优化设计可以提供新鲜的空气来建立良好的工作环境,为防止灾难提供科学和可靠的基础。基于矿井通风网络的航空分配要求,对矿井通风系统网络进行优化计算,熔断动态扰动和模拟退火改善和声搜索算法,改进的和声搜索算法增强了收敛速度,具有克服了传统通风网络优化控制算法的一定限制。在矿井通风分析中,提出了通过适当调整这些参数的改进的和声搜索。仿真结果表明,该方法优于传统的非线性编程方法是否从找到最佳解决方案所需的迭代次数或获得的最终解决方案的观点来看。矿山火是一个非常复杂的物理化学过程。一旦发生这种情况,有很多有毒和有害的气体成分。此外,火灾引起的烟雾将阻挡视力并降低可见性,这将阻碍人类疏散和消防,而且很容易导致气体和煤尘爆炸。因此,挖掘矿工和采矿救助对矿井火灾期间的空气流量控制非常重要。基于和声搜索的气流控制为开拓防灾和加工提供了科学和可靠的基础。

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