|本期目录/Table of Contents|

[1]赵丹,陈帅,潘竞涛.基于FTA的矿井监控预警诊断知识表示及推理机制[J].中国安全生产科学技术,2015,11(6):40-43.[doi:10.11731/j.issn.1673-193x.2015.06.006]
　ZHAO Dan,CHEN Shuai,PAN Jing-tao.Knowledge representation and reasoning mechanism of mine monitoring warning diagnostic based on FTA[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):40-43.[doi:10.11731/j.issn.1673-193x.2015.06.006]
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基于FTA的矿井监控预警诊断知识表示及推理机制
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年6期
页码:
40-43
栏目:
学术论著
出版日期:
2015-06-30

文章信息/Info

Title:
Knowledge representation and reasoning mechanism of mine monitoring warning diagnostic based on FTA
作者:
赵丹1; 2; 陈帅1; 潘竞涛1; 3
（1.辽宁工程技术大学 安全科学与工程学院，辽宁 阜新 123000； 2. 矿山热动力灾害与防治教育部重点实验室，辽宁葫芦岛 125105； 3.煤科集团沈阳研究院有限公司，辽宁 沈阳 110016）
Author(s):
ZHAO Dan1; 2;  CHEN Shuai1 ; PAN Jing-tao1; 3
（1.College of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000,China; 2.Key Laboratory of Mine Thermo-motive Disaster and Prevention,Ministry of Education, Huludao Liaoning 125105, China; 3. CCTEG Shenyang Research Institute, Shenyang Liaoning 110016, China）
关键词:
矿山安全; 监控系统; 预警诊断; 专家系统; 故障树
Keywords:
mine safety;  monitoring system;  warning diagnosis;  expert system;  FTA
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2015.06.006
文献标志码:
A
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 result given by current mine monitoring system can only reflect the parameter changes where the sensor is located, and the location of sensor can't be determined as the fault source. The expert system of mine monitoring warning diagnosis was studied, the hybrid knowledge representation method based on framework and rule for fault tree was designed through the establishment of fault tree for mine ventilation system, and the fault propagation relationship was determined utilizing the reasoning of diagnosis rules in the framework, then the fault source was found. The reasoning mechanism of warning diagnostic in mine monitoring was designed, and the fault diagnosis reasoning analysis was completed for fires and gas emission in the disaster period, as well as the mine piston effect, drag changes, ventilation structures fault, explosion, ventilation power fault and natural air pressure changes in normal production period by using monitoring system. the analysis interface of fault source for monitoring warning diagnostic was given to provide evidence for managers to deal with fault in mine normal production and disaster period.

参考文献/References:

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［8］赵丹．基于网络分析的矿井通风系统故障源诊断技术研究［D］．阜新：辽宁工程技术大学，2011:45-49
［9］赵丹，刘剑，潘竞涛．基于网络分析的矿井通风智能诊断专家系统［J］．安全与环境学报，2011,11(4):206-209 ZHAO Dan, LIU Jian, PAN Jing-tao. Mine ventilation intelligent diagnosis expert system based on network analysis［J］. Journal of Safety and Environment, 2011,11(4):206-209
［10］王从路, 吴超．矿井通风及其系统可靠性［M］．北京:化学工业出版社，2007

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备注/Memo

备注/Memo:
国家自然科学基金项目(51204088)
更新日期/Last Update: 2015-06-30