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矿井通风系统危险源辨识、评价与控制
引用本文:周刚,程卫民,田传强,王昊,张磊,文金浩.矿井通风系统危险源辨识、评价与控制[J].山东科技大学学报(自然科学版),2014(6):51-57.
作者姓名:周刚  程卫民  田传强  王昊  张磊  文金浩
作者单位:山东科技大学矿山灾害预防控制省部共建国家重点实验室培育基地;澳大利亚联邦科学与工业研究组织能源研究分院;枣庄矿业(集团)有限责任公司通风防尘处;
基金项目:国家自然科学基金青年基金项目(51204103);山东煤炭安全高效开采技术与装备协同创新中心项目;中国煤炭工业协会科学技术研究指导性计划项目(MTKJ2013-358);山东省“泰山学者”建设工程专项经费项目;山东省安全生产科技发展计划项目(LAK2012-1);山东科技大学矿业与安全工程学院科研创新团队项目(2012ZHTD06);山东科技大学杰出青年科技人才支持计划项目(2014JQJH106)
摘    要:针对矿井通风系统影响因素多、难以辨识与评价的现状,首先采用故障类型及影响分析方法对矿井通风系统危险源进行辨识,得到由14个重要指标构成的危险源指标体系,并结合Delphi法确定了各指标的临界值。其次,利用模糊区间与层次分析相结合的方法确定了各指标的常权值,发现矿井是否独立通风、分区通风及风区风路是否角联对通风系统的可靠性影响最大。然后,根据模糊集值统计分析法对通风系统危险源进行了分级,并确定了每一级别的危险度值。再则,通过引入状态变权向量和加法合成法,构建了矿井通风系统动态变权综合评价模型。最后,以欢城煤矿为例,进行了通风系统变权前后的危险源评价,得到该矿通风系统为Ⅰ级危险源,并根据评价结果提出了包括增加通风网络可靠性、提高主要通风机能力、增大矿井有效风量、降低矿井负压在内的控制措施,增风降阻,保障矿井的安全生产。

关 键 词:通风系统  故障类型及影响分析  模糊集值统计分析  动态变权  评价控制

Hazard Identification,Evaluation and Control of Mine Ventilation System
Institution:Zhou Gang , Cheng Weimin , Tian Chuanqiang, Wang Hao , Zhang Lei , Wen Jinhao (1. State Key Laboratory of Mining Disaster Prevention and Control Co founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, Shandong 266590, China; 2. Energy Flagship, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queenland 4069, Australia; 3. Ventilation and Dust Prevention Department, Zaozhuang Mining Group Co. Ltd, Zaozhuang, Shandong 277000,China)
Abstract:This study focuses on the critical problems of mine ventilation system in its hazard identification, evaluation and control. Firstly, with failure mode and effect analysis,the hazard sources of mine ventilation system were identi fled and hazard indexes system consisting of 14 important indexes was achieved,then the threshold of each index was determined by means of Delphi. Secondly, the constant weight values for all indexes were determined through com- bing fuzzy interval and analytic hierarchy process to locate the three dominant cases that influence the reliability of ventilation system. Thirdly,the hazard sources were classified with the statistical analysis of fuzzy set value,and the risk value of each level was determined. Besides, comprehensive evaluation model of dynamic variable weight was established in light of the state variable weight vectors and additive synthesis. Finally, the test field work was conducted in Huancheng coal mine on its hazard evaluation of ventilation system. The evaluation results show the hazard level was I and the corresponding control measures were suggested for safety insurance.
Keywords:ventilation system  failure mode and effect analysis  statistical analysis of fuzzy set value  dynamic weight  evaluation and control
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