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马尔可夫理论在运输系统可靠性分析中的应用 被引量:7

Study on Application of Markov Theory in Reliability Aanalysis of Transport System
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摘要 露天矿山在转入凹陷开采后 ,随着开采深度的增加 ,原有的铁路运输系统已经不能适应生产的需要 ,朱家包包铁矿目前即存在这一问题 ,为此在提出采用汽车 -陡坡铁路系统的基础上采用马尔可夫随机过程理论研究朱家包包铁矿的运输系统可靠性 ,研究得出 :运输系统的可靠性用可用度指标描述最为合理 ,朱家包包铁矿运输系统中转载站是最关键环节 ,系统各环节的生产能力相互制约 ,只有各环节生产能力匹配 。 After the transfer of open pit mines into deep mining, the original railway transportation system cann't meet the requirements of the production as the mining depth is increasing. It is such problem that exists in Zhujiabaobao Iron Mine. A truck steep slope railway combined transportation scheme is proposed. Markov stochastic process theory is used to study the reliability of Zhujiabaobao Iron Mine's transport system. It is concluded from the study that it is most rational to use the availability index to describe the reliability of the transportation system. The transfer station is the key link in Zhujiabaobao Iron Mine's transportation system. The capacities of the various links in the system are restricted mutually. Only by matching their capacities well can the system capacity be maximized.
出处 《金属矿山》 CAS 北大核心 2004年第6期9-13,共5页 Metal Mine
基金 国家"十五"科技攻关项目
关键词 马尔可夫理论 运输系统 可靠性分析 露天矿山 Truck railway combined transport system, Reliability, Markov stochastic process theory, Steep slope railway
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参考文献8

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