基于FTA的矿井监控预警诊断知识表示及推理机制

发布时间：2018-04-11 05:28

本文选题：矿山安全 + 监控系统　；参考：《中国安全生产科学技术》2015年06期

【摘要】：当前的矿井监测监控系统给出的预警结果只能反映传感器所在位置的参数变化,并不能依此判断传感器所在位置就是故障源。研究矿井监控预警诊断专家系统,通过建立矿井通风系统故障树设计面向故障树的基于框架与规则的混合知识表示方法,利用框架中诊断规则的推理确定故障传播关系,找到故障源。设计了矿井监控预警诊断推理机制,利用监控系统对灾变时期的火灾和瓦斯大量涌出以及正常生产时期矿井中的活塞效应、巷道风阻变化、通风构筑物故障、爆破、通风动力故障以及自然风压变化进行故障诊断推理分析,给出监控预警诊断故障源分析界面,为管理人员对矿井正常生产和灾变时期的故障处理提供依据。
[Abstract]:The warning results given by the current mine monitoring and monitoring system can only reflect the change of the parameters of the sensor's location and can not be used to judge that the sensor's location is the source of the fault.The expert system of mine monitoring and early warning diagnosis is studied. By establishing fault tree of mine ventilation system, a hybrid knowledge representation method based on frame and rule is designed for fault tree, and fault propagation relationship is determined by reasoning of diagnosis rules in frame.Find the source of the fault.The reasoning mechanism of mine monitoring and early warning diagnosis is designed, and the piston effect, the change of air resistance of roadway, the failure of ventilation structure, the blasting of mine tunnel, the piston effect in the mine during the period of catastrophe and the large amount of gas emission during the normal production period are analyzed by using the monitoring system.The fault source analysis interface of monitoring and early warning diagnosis is given, which provides the basis for managers to deal with the faults during mine normal production and catastrophic period.
【作者单位】：辽宁工程技术大学安全科学与工程学院;矿山热动力灾害与防治教育部重点实验室;煤科集团沈阳研究院有限公司;
【基金】：国家自然科学基金项目(51204088)
【分类号】：TD76

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