【24h】

Research on Gas Explosion IDSS in Coalmines Based on CBR

机译:基于CBR的煤矿瓦斯爆炸IDSS研究

获取原文
获取原文并翻译 | 示例

摘要

The coalmine gas hazard affected safety of China coalmine production most. As there were lots of complicated and uncertain factors during gas accidents emergency rescue and making decisions process, accurate decisions can not be drawn by mathematics models with present information monitored by the KJ series monitoring systems such as KJ90, so experiences of former questions were urgently required to help as assistant decision-making. Accordingly, the construction of gas explosion intelligent decision support systems (IDSS) based on an artificial intelligence method CBA (Case-Based Reasoning) was put forward. The paper instructed the working flow of CBR as well as main structure of gas explosion early warning intelligent decision support systems, and then it designed representation methods of gas explosion cases, arithmetic of cases retrieval and cases learning process. It had great significance of preventing gas explosion accidents in coalmines as well as providing intelligent decision-making support for emergency rescue.
机译:煤矿瓦斯灾害对中国煤矿生产的安全性影响最大。由于瓦斯事故应急救援和决策过程中存在许多复杂而不确定的因素,因此无法通过数学模型来得出准确的决策,而目前的信息由诸如KJ90之类的KJ系列监控系统监控,因此迫切需要前者的经验。协助进行辅助决策。因此,提出了基于人工智能方法CBA(Case-Based Reasoning)的瓦斯爆炸智能决策支持系统(IDSS)的构建。指导了CBR的工作流程以及瓦斯爆炸预警智能决策支持系统的主要结构,然后设计了瓦斯爆炸案例的表示方法,案例检索算法和案例学习过程。这对于预防煤矿瓦斯爆炸事故以及为紧急救援提供智能决策支持具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号