基于FMEA的金山店铁矿主溜井堵塞故障风险分析
|
摘要
密实结拱、大块挤压、粉矿粘结是金山店铁矿主溜井放矿过程中常见的3类堵塞故障。为探究不同类型堵塞故障发生时各自风险程度的高低,确定各类堵塞故障治理及改进的优先序列,采用失效模式及影响分析(FMEA)法建立金山店铁矿主溜井堵塞故障树模型,运用熵值法确定故障发生频度(O)、严重度(S)和可探测度(D) 3个指标参数各自的权重,计算并分析主溜井各类堵塞故障的风险优先数(RPN)。研究结果表明,密实结拱型堵塞故障的风险优先数最大,风险程度最高,是金山店铁矿主溜井主要的故障类型;应优先加强密实结拱型堵塞故障的防治处理,以有效降低该类故障对矿山正常生产的影响。
Dense knot arch,large blocks,and powder ore are the three main types of jam faults during or-drawing in the main ore-pass of Jin Shandian Iron mine. To explore the respective level of risk when different types of jam faults occur and to determine the management and improvement priority sequence of each type of jam faults,the fault tree model of the main ore-pass was established by FMEA method. The entropy method was used to determine the respective weights of the three indicators of occurrence frequency( O),severity( S) and detectability( D),and the risk priority number( RPN) of these jam faults in the main ore-pass was calculated and analyzed. Results showed that the RPN of the dense knot arch fault was the largest,and the risk level was also the largest,which was the main type fault of the main ore-pass. To reduce the impact of this fault on mine normal production effectively,the mine should strengthen the prevention and treatment of this fault preferentially.
Dense knot arch,large blocks,and powder ore are the three main types of jam faults during or-drawing in the main ore-pass of Jin Shandian Iron mine. To explore the respective level of risk when different types of jam faults occur and to determine the management and improvement priority sequence of each type of jam faults,the fault tree model of the main ore-pass was established by FMEA method. The entropy method was used to determine the respective weights of the three indicators of occurrence frequency( O),severity( S) and detectability( D),and the risk priority number( RPN) of these jam faults in the main ore-pass was calculated and analyzed. Results showed that the RPN of the dense knot arch fault was the largest,and the risk level was also the largest,which was the main type fault of the main ore-pass. To reduce the impact of this fault on mine normal production effectively,the mine should strengthen the prevention and treatment of this fault preferentially.
引文
[1]张丙涛.金山店铁矿主溜井矿石密实致堵因素及其防治对策研究[D].武汉:武汉科技大学,2016.
[2]吕向东.高深溜井井筒堵塞机理分析与治理[J].金属矿山,2015(11):158-163.
[3]李爱国,王如宝,曹延东.溜井堵塞机理分析及预防措施[C].2011年中国矿业科技大会论文集,2011.
[4]刘慎刚,厉洪涛.小直径溜井堵塞治理方案[J].金属矿山,2012(12):156-157.
[5]肖文涛,王积林.药壶爆破在处理溜井堵塞中的应用[J].武钢技术,2015(6):37-39.
[6]廖美来,徐大福,王樯忠.利用聚能药包爆破法处理溜井堵塞[J].矿业研究与开发,1996(S1):143-145.
[7]刘永涛,刘艳章,邹晓甜,等.基于BP神经网络的溜井堵塞率预测[J].化工矿物与加工,2017,46(4):41-44.
[8]Zaman M B,Kobayashi E,Wakabayashi N,et al.Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait:based on AIS data[J].Journal of Simulation,2014,8(1):91-104.
[9]刘正高,李福秋.工艺FMEA技术应用研究[J].质量与可靠性,2005,20(1):42-46.
[10]Raheja,Dev G,Louis J Gullo,et al.Design for reliability[M].John Wiley&Sons,2012:50-65.
[11]刘艳章,李伟,邹晓甜,等.含水率和粉矿含量对金山店铁矿主溜井矿石流动性的影响[J].矿冶工程,2018,38(1):5-10.
[12]黄子涵,陈全.模糊理论FMEA在煤矿胶带输送机风险控制中的应用[J].煤矿安全,2014,45(7):240-244.
[13]朱喜安,魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策,2015(2):12-15.
[14]周正龙,马本江,胡凤英.基于熵值法与灰色关联决策的最佳响应方案[J].统计与决策,2017(8):46-49.
[2]吕向东.高深溜井井筒堵塞机理分析与治理[J].金属矿山,2015(11):158-163.
[3]李爱国,王如宝,曹延东.溜井堵塞机理分析及预防措施[C].2011年中国矿业科技大会论文集,2011.
[4]刘慎刚,厉洪涛.小直径溜井堵塞治理方案[J].金属矿山,2012(12):156-157.
[5]肖文涛,王积林.药壶爆破在处理溜井堵塞中的应用[J].武钢技术,2015(6):37-39.
[6]廖美来,徐大福,王樯忠.利用聚能药包爆破法处理溜井堵塞[J].矿业研究与开发,1996(S1):143-145.
[7]刘永涛,刘艳章,邹晓甜,等.基于BP神经网络的溜井堵塞率预测[J].化工矿物与加工,2017,46(4):41-44.
[8]Zaman M B,Kobayashi E,Wakabayashi N,et al.Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait:based on AIS data[J].Journal of Simulation,2014,8(1):91-104.
[9]刘正高,李福秋.工艺FMEA技术应用研究[J].质量与可靠性,2005,20(1):42-46.
[10]Raheja,Dev G,Louis J Gullo,et al.Design for reliability[M].John Wiley&Sons,2012:50-65.
[11]刘艳章,李伟,邹晓甜,等.含水率和粉矿含量对金山店铁矿主溜井矿石流动性的影响[J].矿冶工程,2018,38(1):5-10.
[12]黄子涵,陈全.模糊理论FMEA在煤矿胶带输送机风险控制中的应用[J].煤矿安全,2014,45(7):240-244.
[13]朱喜安,魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策,2015(2):12-15.
[14]周正龙,马本江,胡凤英.基于熵值法与灰色关联决策的最佳响应方案[J].统计与决策,2017(8):46-49.