煤矿智能应急预案生成系统设计与关键技术
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摘要
为给煤矿防灾减灾提供决策支持和有效的救援方案,设计了一套煤矿智能应急预案自动生成系统架构。首先,集成电子文本应急预案,事故案例,利用文本分析技术,进行结构化半结构化存储,通过分析历史事故案例,发现事故发生时间和地点的规律,按类别将事故案例分成若干类,提取相关事故特征,自动抽取事故处理办法和处置经验;其次,利用数学模型分析矿井实时数据,并动态可视化,实现事故态势实时感知和救援工作实时监测;最后,根据历史应急预案,设计智能应急预案模板,并基于专家知识库、事故处置方法和实时信息分析结果,利用规则推理技术,自动生成智能化应急预案。
To provide the decision support and effective rescue plan for prevention and mitigation of coal mine accidents, an architecture of coal mine intelligent emergency plan automatic generation system is proposed in this paper. First of all, by integrating emergency plan and accident cases, we utilize text analysis to carry out structured and semi-structured storage. Based on the analysis of accident cases, we detect patterns for accident time and spots and then classify the accident cases into several categories to find accident characteristics for further study on accident treatment. Besides, real-time data from coal mine is analyzed and visualized by math models, which facilitates the real-time situation sensing and rescue work monitoring. Finally, according to history emergency plans, an intelligent emergency plan template is designed. Based on the expert knowledge base, accident treatment methods and real-time data analysis results, rule-based reasoning is used to generate intelligent emergency plan automatically.
To provide the decision support and effective rescue plan for prevention and mitigation of coal mine accidents, an architecture of coal mine intelligent emergency plan automatic generation system is proposed in this paper. First of all, by integrating emergency plan and accident cases, we utilize text analysis to carry out structured and semi-structured storage. Based on the analysis of accident cases, we detect patterns for accident time and spots and then classify the accident cases into several categories to find accident characteristics for further study on accident treatment. Besides, real-time data from coal mine is analyzed and visualized by math models, which facilitates the real-time situation sensing and rescue work monitoring. Finally, according to history emergency plans, an intelligent emergency plan template is designed. Based on the expert knowledge base, accident treatment methods and real-time data analysis results, rule-based reasoning is used to generate intelligent emergency plan automatically.
引文
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[12]邓万涛.煤矿应急预案评价方法研究[J].中国安全科学学报,2010,20(5):167-171.
[13]张冲.基于CBR与RBR融合推理的林火扑救方案生成系统研究[D].哈尔滨:哈尔滨工程大学,2010.
[2]柳晔.关于煤矿应急预案的讨论[J].内蒙古煤炭经济,2016(16):64-65.
[3]马莉.本体的煤矿数字化应急预案系统研究[J].西安科技大学学报,2014,34(2):216-223.
[4]杜冬霞.基于关系数据模型的应急预案领域本体构建方法研究[D].太原:太原理工大学,2010.
[5]卜创利,潘理虎,植宇.基于案例推理的煤矿应急预案管理系统设计[J].工矿自动化,2015,41(7):34-38.
[6]卜创利.煤矿应急预案自动生成技术的研究与应用[D].太原:太原科技大学,2015.
[7]Duan D,Pan Q,Zhang R,et al.Research and Design of Coal Mine Intelligent Emergency Plan Generation and Management System[C]∥International Forum on Computer Science-Technology and Applications.IEEE Computer Society,2009:405-408.
[8]张伟杰.王庄煤矿应急管理系统开发与集成方案研究[D].沈阳:沈阳理工大学,2014.
[9]潘启东,曾咪,段东生,等.基于数据集成的煤矿应急管理系统设计研究[J].河南理工大学学报(自然科学版),2011,30(5):521-524.
[10]王洪秋,赵晶,戚宏亮.基于协同的区域煤矿应急管理系统研究[J].煤炭经济研究,2016,36(12):66-69.
[11]马恒,王苏.煤矿应急预案评估研究及在常村煤矿中的应用[J].矿业安全与环保,2017,44(4):115-119.
[12]邓万涛.煤矿应急预案评价方法研究[J].中国安全科学学报,2010,20(5):167-171.
[13]张冲.基于CBR与RBR融合推理的林火扑救方案生成系统研究[D].哈尔滨:哈尔滨工程大学,2010.