江波铁矿通风监测监控系统可靠性研究与应用

发布时间：2018-01-09 22:16

本文关键词：江波铁矿通风监测监控系统可靠性研究与应用　出处：《昆明理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：金属非金属地下矿山监测监控系统是依靠科技进步和先进适用技术装备,从源头上控制安全风险、从根本上提升地下矿山安全生产保障能力的有效措施。通风监测监控系统作为矿山监测监控系统的重要组成部分,在运行中易受井下环境的影响,根据安全上可靠、技术上可行和经济上合理的原则,需对矿山通风监测监控系统的可靠性进行分析。本文的研究是以江波铁矿井下安全避险监测监控系统为基础而展开的,目的是通过对矿井通风监测监控系统事故树模型和网络拓扑结构的理论研究,达到对该系统在实际应用中的合理指导。从这一角度出发,本论文建立了矿井通风监测监控系统的事故树模型,并对其进行了定性和定量分析,采用隶属云评估模型对系统的网络拓扑结构进行了分析研究,并结合江波铁矿实例做了研究。论文主要内容如下： (1)简单阐述了国内外矿井监测监控系统和可靠性工程的发展研究现状,概述了事故树分析方法的发展和应用,综述了可靠性工程在矿井监测监控系统中的研究现状。 (2)采用FTA对矿井通风监测监控系统进行故障分析,建立了该系统的事故树模型,并对其进行了定性分析,求出了最小割集、最小径集和各基本事件的结构重要度；利用最小径集分析了预防事故发生的途径和应采取的对策措施；通过顶事件的发生概率以及各基本事件的临界重要度计算对事故树进行了定量分析。 (3)详细介绍了可靠性工程的相关理论：可靠性评价指标、可靠性研究方法和可靠性预计等,通过对比可靠性工程的研究方法,确定了采用解析法对通风监测监控系统进行分析研究。 (4)建立了矿井通风监测监控系统网络拓扑结构的隶属云评估模型,并使用Matlab软件对常用的环型、树型和星型网络结构绘制出了可靠性云图,通过隶属云评估模型的对比得出：在同等条件下,星型网络的可靠性最高,其次是环型网络结构,最后是树型网络结构。 (5)结合江波铁矿通风系统实际情况,建立江波铁矿通风监测监控系统树型网络拓扑结构,并对其做了可靠性预计,得出了系统主要设备监控分站、风速传感器、CO传感器、设备开停传感器和风压传感器的平均无故障时间分别为：1219.48h、3794h、4195h、14294.7h、3143h,通风监测监控系统的平均无故障时间为1005.73h,即江波铁矿通风监测监控系统可靠性已达到相关规范的要求。
[Abstract]:Metal non - metallic underground mine monitoring and monitoring system relies on scientific and technological progress and advanced application technology equipment to control the safety risk from the source . It is an important part of the mine monitoring and monitoring system . The ventilation monitoring and monitoring system is an important part of the mine monitoring and monitoring system . The monitoring and monitoring system is easy to be influenced by the underground environment . According to the principle of safety and reliability , technically feasible and economically reasonable , the reliability of the mine ventilation monitoring and monitoring system needs to be analyzed . Based on the monitoring system of mine ventilation monitoring and monitoring system , the paper studies the accident tree model of mine ventilation monitoring and monitoring system and the theory research of network topology structure , and makes qualitative and quantitative analysis on the network topological structure of the system by using the model of membership cloud evaluation . The main contents of this paper are as follows : ( 1 ) The development and application of mine monitoring and monitoring system and reliability engineering at home and abroad are briefly described , the development and application of accident tree analysis method are summarized , and the research status of reliability engineering in mine monitoring and monitoring system is summarized . ( 2 ) The fault tree model of the mine ventilation monitoring and monitoring system is analyzed by FTA , the tree model of the accident tree is established , and the structure importance of the minimum cut set , the smallest path set and the basic events is obtained . The path of preventing accidents and the countermeasures to be taken are analyzed by using the smallest diameter set ; and the accident tree is quantitatively analyzed through the probability of occurrence of the top event and the critical importance of each basic event . ( 3 ) The relevant theories of reliability engineering are introduced in detail : reliability evaluation index , reliability research method and reliability prediction , etc . Through the research method of the comparative reliability engineering , the analysis and research on the ventilation monitoring and monitoring system is determined by the analytical method . ( 4 ) The membership cloud evaluation model of the network topological structure of the mine ventilation monitoring and monitoring system is established , and the reliability cloud chart is drawn by using Matlab software to the common ring shape , tree type and star network structure , and the comparison between the subordinate cloud evaluation model shows that the star network has the highest reliability under the same condition , and secondly , the ring network structure and finally the tree network structure . ( 5 ) Based on the actual situation of Jiangbo iron mine ventilation system , the tree - type network topology of the monitoring and monitoring system of mine ventilation in Jiangbo Iron Mine is established , and its reliability is predicted . The average non - failure time of the main equipment monitoring substation , the wind speed sensor , the CO sensor , the equipment opening / stop sensor and the wind pressure sensor is 1219.48h , 3794h , 4195h , 14294.7 , 3143h respectively . The average trouble - free time of the ventilation monitoring and monitoring system is 1005.73h , that is , the reliability of the monitoring and monitoring system of the mine ventilation monitoring system has reached the requirements of the relevant specifications .

【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TD72

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