大坪金矿矿井通风系统可靠性研究

发布时间：2018-03-12 20:19

本文选题：矿井通风系统　切入点：可靠性　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：矿井通风系统主要是由通风网络、主风机系统及其配套设备组成的大型复杂可修系统,具有很强的不确定性,各子系统相互间又彼此关联,其对于地下矿山开采及井下人员安全担负着重要责任。通常,矿山服务年限不断增长、开采规模及开采深度的增大导致其内部发生的变化都会使通风系统的网络结构发生动态变化,因而其可靠性必然有所下降,若其中任一环节发生问题,将导致正常开采工作无法进行,甚至使作业工人的生命受到威胁。因此,对于通风系统的可靠性研究,越来越受到矿山企业、技术人员以及众多专家学者的重视。本文在前人研究成果的基础上,结合矿井通风学与可靠性相关理论技术,运用网络流理论、Markov理论等相关知识与技术方法,以及ANSYSCFX软件模拟,对通风网络与主通风机系统的可靠性分析方法进行详尽的研究,主要内容为:1、风路可靠性的研究根据通风网络系统的固有属性,建立风路可靠度分析模型,以分支风路的风量监测数据为基础,应用统计拟合估计方法加以分析后得到分支风路的风量分布规律,给出了通风网络中风路可靠度与故障率等概念,并建立对应的数学公式,以《金属非金属矿山安全规程》(以下简称《规程》)所规定的各类巷道风量的风速限定值及通风系统实际运行过程中的风速经验值为标准,求得各分支风路的可靠度,为进一步分析通风网络的可靠度奠定了基础。2、通风网络可靠性的研究以网络流理论为基础,运用简化的邻接终点法求解通风网络最小路集并基于MATLAB编程实现此算法。提出了一种简化的不交化最小路集算法:对于任一长度为m-1的最小路,只需在其中添加n-+ 1条该最小路中不出现的分支的逆,就可直接获得不交化结果,其余最小路采用BDD算法进行不交化运算,通过以上方法可量化分析通风网络的可靠性,最后分析了各分支风路敏感度;3、通风动力的可靠性研究主风机是通风系统的动力来源,若其出现故障的话,将会导致系统无法正常运行,所以必须对其进行可靠性分析。本文应用Markov过程理论分析了主风机的可靠性,给出了其可靠度、故障率等可靠性指标的定义及数学表达式,最后进行了可靠性实例验证。4、通风巷道的可靠性数值模拟当井下巷道增设调节风窗等构筑物后,其中风流的分布会发生动态变化,本文运用ANSYSCFX软件建模,在一段长50.5m的巷道内增设一调节风窗,风窗位置距离入风口 25m,风流以0.51m/s的速度进入巷道。经过CFX软件建模并解算分析后,由其自动生成的速度场云图与压力场云图可以得到增设调节风窗后的巷道中,风流速度以及温度分布情况,接着提出增设调节风窗巷道的稳定风流区域的可靠度概念与数学公式,并进行了求解。
[Abstract]:Mine ventilation system is a large complex repairable system composed of ventilation network, main fan system and its supporting equipment. It has strong uncertainty and the subsystems are related to each other. It plays an important role in underground mining and the safety of underground personnel. The increase of mining scale and depth will make the network structure of ventilation system change dynamically, so the reliability of ventilation system will decrease, if any part of the system has a problem, As a result, normal mining cannot be carried out, and even the lives of workers are threatened. Therefore, the study of the reliability of ventilation systems is becoming more and more popular in mining enterprises. Based on the previous research results, combined with mine ventilation and reliability related theory technology, the network flow theory and other related knowledge and technical methods, as well as ANSYSCFX software simulation, are used in this paper. The reliability analysis method of ventilation network and main ventilator system is studied in detail. The main content is: 1. According to the inherent properties of ventilation network system, the reliability analysis model of wind path is established. Based on the air volume monitoring data of the branch wind path, the distribution law of the wind volume of the branch wind path is obtained by using the statistical fitting estimation method, and the concepts of the reliability and failure rate of the stroke road in the ventilation network are given, and the corresponding mathematical formulas are established. Based on the wind speed limit value of all kinds of roadway air volume and the wind speed experience value in the actual operation process of ventilation system, the reliability of each branch wind path is obtained according to the wind speed limit value of all kinds of tunnel air volume stipulated in the Safety regulations for Metal Non-metal Mines (hereinafter referred to as "Code"). It lays a foundation for further analysis of the reliability of ventilation network. The research on the reliability of ventilation network is based on the theory of network flow. The minimal path set of ventilation network is solved by means of the simplified adjacency endpoint method, and the algorithm is implemented by programming based on MATLAB. A simplified disjoint minimum path set algorithm is proposed: for the minimum path of any length m-1, Only by adding the inverse of the branch that does not appear in the minimum path, the disjoint result can be obtained directly, and the other minimal paths can be disintersected by BDD algorithm. The reliability of the ventilation network can be quantitatively analyzed by the above methods. Finally, the sensitivity of each branch is analyzed. The reliability of ventilation power is studied. The main fan is the power source of the ventilation system. If it fails, it will lead to the failure of the system. In this paper, Markov process theory is used to analyze the reliability of main fan, and the definition and mathematical expression of reliability index, such as reliability and failure rate, are given. Finally, the numerical simulation of reliability of ventilation roadway is carried out to verify the reliability. The distribution of air flow will change dynamically when the structure such as adjusting wind window is added to the tunnel. This paper uses ANSYSCFX software to model the model. In a 50.5m long roadway, an adjusting wind window is added. The position of the wind window is 25m from the air inlet, and the wind flow enters the roadway at a speed of 0.51m / s. After modeling and analyzing by CFX software, The velocity field cloud map and the pressure field cloud diagram generated by it automatically can obtain the wind velocity and temperature distribution in the roadway after adding the adjusting wind window. Then, the concept of reliability and mathematical formula of steady air flow area in the roadway with adjusting wind window are put forward and solved.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD724

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