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论文中文题名:

 提升机制动性能安全评价方法与监测系统的研究    

姓名:

 姬莉莉    

学号:

 201103075    

保密级别:

 公开    

学科代码:

 080202    

学科名称:

 机械电子工程    

学生类型:

 硕士    

学位年度:

 2014    

院系:

 机械工程学院    

专业:

 机械电子工程    

研究方向:

 智能检测与控制    

第一导师姓名:

 李曼    

第一导师单位:

 西安科技大学 机械工程学院    

论文外文题名:

 Research on Safety Assessment Method and Monitoring System of Hoist Braking Quality    

论文中文关键词:

 制动系统 ; 故障树 ; 评价 ; 监测    

论文外文关键词:

 Braking System ; Fault Tree ; Assessment ; Monitoring    

论文中文摘要:
矿井提升机在煤矿生产中承担着提升煤炭、矸石、下放物料、升降人员和设备的重要任务,在整个生产过程中占有极其重要的地位。制动系统是提升机在其它保护装置失效后防止重大事故发生的最后一道保护措施,它的工作状态直接影响提升机的安全运行,同时涉及从业者的人身安全。对提升机制动系统进行预先的危险源辨识和安全评价,并对重要度大的参数进行重点监测,可以有效地减少或者避免提升运输事故的发生。 本文在详细分析影响提升机制动失效主要因素的基础上,编制了提升机制动失效故障树。在故障树的定性分析中,通过布尔代数化简法求出了故障树的最小割集,对各基本原因事件的结构重要度进行了分析。在故障树的定量分析中,首先应用德尔菲法获得了基本事件的模糊发生概率,并对其进行量化。针对故障树中各指标的特点,引入了模糊集理论。选择三角模糊数描述提升机制动失效故障树中基本事件的发生概率,采用故障树分析法中的模糊概率重要度分析法对每个基本事件进行分析,进而得出了影响提升机制动失效的关键因素。 根据对提升机制动失效的分析进行安全评价得出的需要重点监测的参数,本文设计了监测系统。监测系统的硬件由传感器、信号调理电路、数据采集卡和工控机四部分组成。监测分析软件采用LabVIEW8.5设计开发。监测系统实现了对闸瓦间隙、液压站油压、闸瓦温度、制动盘偏摆量以及空动时间等主要参数的实时监测。论文对监测系统的软、硬件进行了实验验证。实验表明,该系统实现了预期功能。
论文外文摘要:
Mine hoist undertakes the important task of hoisting coal and gangue, coupled with drawing material, staffs and equipments, so it occupies an extremely important role in the entire process of coal mine production. Braking system is the final protective measure to prevent major accidents after other protection device is failure. So its work station will directly affect the safety running of the hoist, and also it relates to the safety of staff. In order to reduce and avoid the hoisting and transportation accidents, it is necessary to do hazard identification and safety assessment on braking system in advance, and then the important parameters should be monitored. Based on analyzing the main factors affecting the hoist’s failure in detail, this paper established the braking failure fault tree of the hoist. During the qualitative analysis of fault tree, the method of Boolean algebra was applied to calculate the Minimum cuts, and then the structure importance was analyzed on each basic reason event. During the quantitative analysis of fault tree, firstly, the method of Delphi was used to obtain the fuzzy occurrence probability of basic reason event, and the quantization was completed. And then, aiming at the characteristics of these indicators, the fuzzy set theory was adopted, in addition, the triangular fuzzy number was applied to characterize the occurrence probability of the hoist braking system. The fuzzy probability importance analysis of fault tree analysis was adopted to analyze each basic event, by which the key factors affecting the braking failure of hoist and the vital parameters need to be monitored can be obtained. According to the monitored important parameters which are got after safety assessment on analysis of braking failure of the hoist, monitoring system was designed in this paper. The hardware of monitoring system consists of sensor, signal conditioning circuit, data acquisition card and industrial control. The monitoring analysis software used LabVIEW8.5 to design and develop. The monitoring system realized real-time monitoring on main parameters such as brake shoe clearance, oil pressure of hydraulic station, temperature of the brake shoe, the deflection of brake disc, idle motion time and so on. Finally, the experimental verification was done on software and hardware of the monitoring system, the results showed that, this system can realize the prospective functions.
中图分类号:

 TD534    

开放日期:

 2014-06-18    

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