| 洪昌寿,李向阳,胡鹏华,李先杰,叶勇军,谢东.基于MATLAB的铀矿山井底车场列车排队系统蒙特卡洛模拟[J].南华大学学报(自然科学版),2014,28(1):17~23, 33.[HONG Chang-shou,LI Xiang-yang,HU Peng-hua,LI Xian-jie,YE Yong-jun,XIE Dong.Monte Carlo Simulation of Train Queuing System in Uranium Mine Shaft Station Based on MATLAB[J].Journal of University of South China(Science and Technology),2014,28(1):17~23, 33.] |
| 基于MATLAB的铀矿山井底车场列车排队系统蒙特卡洛模拟 |
| Monte Carlo Simulation of Train Queuing System in Uranium Mine Shaft Station Based on MATLAB |
| 投稿时间：2013-09-02 |
| DOI： |
| 中文关键词: 铀矿山通风 井底车场 排队论 MATLAB 蒙特卡洛模拟 |
| 英文关键词:uranium mine ventilation shaft station Queuing Theory MATLAB Monte Carlo simulation algorithm |
| 基金项目:国家自然科学基金资助项目(11075071) |
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| 中文摘要: |
| 为深入探究铀矿山井底车场氡浓度分布规律,针对井底车场重列车排队等待提升与车场风质的相关性及其本身的随机性,基于排队理论建立铀矿山井底车场列车排队系统特性的分析模型.首先,确定典型铀矿山列车排队系统物理模型；其次,在预先假设条件的基础上,确定列车排队系统的分析算法；最后,考虑到难以简单套用已有经典排队论模型或依据排队理论相关定义推导得出铀矿山井底车场列车排队系统特性指标,采用基于MATLAB的蒙特卡洛方法,编写M文件实现列车排队过程仿真.实例分析表明,模拟结果与工程实际基本吻合,且随着模拟次数的增加,理论值与实测值相对误差逐渐减小,尤其当模拟次数大于300,相对误差将低于8%. |
| 英文摘要: |
| For purpose of making a thorough study of regularity of radon concentration distribution in uranium mine shaft station,a model for characteristic analysis on train queuing system in uranium mine shaft station,based on Queuing Theory,was worked out,aiming at the randomness of loaded trains queuing up for hoisting and its correlation with the quality of intake air.Firstly,the physical model of train queuing system was determined by taking typical uranium mine as example.Then,several indispensable presupposes were given before confirming the analytical algorithm to train queuing system.Finally,it proved not to be an easy task if attempting to obtain the queuing system characteristic index by simply using of classical queuing models or by making a direct deducing according to related definitions in Queuing Theory in consideration of the specificity in uranium mine.Thus,an M-file was established to achieve simulation of the queuing process by adopting of MATLAB-based Monte Carlo method in the light of determined algorithm.The analysis of application example showed that results obtained by this method were basically in line with the engineering practice,and the relative errors between theoretical results and measured results took on degressive tendency along with the increase of simulation times.Specially,both of the relative errors were below 8 % when simulation times exceeded 300. |
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