期刊文献+

矿山排水抢险应急救援系统设计 被引量:8

Design of Mine Water Drainage and Mine Emergency Rescue System
下载PDF
导出
摘要 针对我国矿山抢险排水中存在的问题,结合峰峰煤矿复杂多样的水文地质条件,提出一套解决煤矿突水问题的排水抢险应急救援系统方案。包括排水系统设计与选型决策支持系统,抢险排水应急方案的快速自动生成、快速实施及矿用设备运行的实时故障诊断和监测。该系统的研究不仅能及时响应煤矿的常效排水需求,而且能在水灾害发生后快速制定应急救援方案,克服了原有煤矿水灾害救治流程中响应速度慢、缺乏目的性,救援资源难以有效调配的缺点。 According to the existing problems in the mine water drainage and the mine rescue in China and in combination with the complicated and varied hydrological conditions in Fengfeng Mines, the paper provided one completed set of the mine water drainage rescue and emergency rescue system plan to solve the mine water inrush problems. The system was including the decision support system of the design and selection for the water drainage system, rapid automatic generation and rapid implement of the rescue water drainage emergency plan, and the on time fault diagnosis and the monitoring and control of the mine equipment. The study of the system was not only on timely to meet the conventional water drainage requirement and could rapidly make am emergency rescue plan when a water disaster occurred, could overcome the slow response speed and the lacking of a teleonomy in the previous mine water disaster rescue process and the disadvantage of the rescue resources hard to have effective dispatching.
出处 《煤炭科学技术》 CAS 北大核心 2009年第6期89-91,共3页 Coal Science and Technology
关键词 矿井突水 排水系统 应急救援 决策支持系统 监控系统 mine water inrush water drainage system emergency rescue decision support system monitoring and control system
  • 相关文献

参考文献7

二级参考文献15

  • 1靳春梅,樊灵,邱阳,段志善.旋转机械故障智能诊断与预报方法综合研究[J].机械,2000,27(z1):21-23. 被引量:6
  • 2张建民.传感器与检测技术[M].北京:机械工业出版社,2000.3. 被引量:13
  • 3国家煤矿安全监察局.安全评价(修订版)[M].北京:煤炭工业出版社,2004. 被引量:1
  • 4庞玉峰,张怀松,刘玉良,等.煤矿防治水综合技术手册(第三卷)[M].长春:吉林音像出版社,2003. 被引量:2
  • 5国家煤矿安全监察局.煤矿安全监察[M].徐州:中国矿业大学出版社,2001. 被引量:1
  • 6Xu Xiaoli, Han Qiushi, Xu Baojie, et al. A study of the on-line trend predicting technology to the conditions of mechanical equipment[A]. Shi Zhiping. Proceedings of the First International Conference on Mechanical Engineering[C]. Shanghai: International 被引量:1
  • 7Wang K C. Update of an early warning fault detection method using artificial intelligence techniques[J]. IEE Colloquium(Digest), 1997, 50(5):1-5. 被引量:1
  • 8Propes N, Vachtsevanos G. Fuzzy petri net based mode identification algorithm for fault diagnosis of complex systems[A]. Willett P K. System Diagnosis and Prognosis: Security and Condition Monitoring Issues Ⅲ[C]. Orlando, Florida: The International Socie 被引量:1
  • 9Khiripet N. An architecture for intelligent time series prediction with causal information[D]. Georgia, USA: Georgia Institute of Technology, 2001. 被引量:1
  • 10Brenner M J. Non-stationary dynamics data analysis with wavelet-STD filtering[J]. Mechanical Systems and Signal Processing, 2003, 17(4): 765-786. 被引量:1

共引文献95

同被引文献34

引证文献8

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部