|本期目录/Table of Contents|

[1]念其锋,施式亮,李润求.基于网络分析和联系熵的煤与瓦斯突出预测研究[J].中国安全生产科学技术,2014,10(2):22-27.[doi:10.11731/j.issn.1673-193x.2014.02.004]
　NIAN Qi feng,SHI Shi liang,LI Run qiu.Study on coal and gas outburst prediction based on analytic network process and connection entropy[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(2):22-27.[doi:10.11731/j.issn.1673-193x.2014.02.004]
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基于网络分析和联系熵的煤与瓦斯突出预测研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
10
期数:
2014年2期
页码:
22-27
栏目:
学术论著
出版日期:
2014-02-28

文章信息/Info

Title:
Study on coal and gas outburst prediction based on analytic network  process and connection entropy
作者:
念其锋1; 2; 3; 施式亮1; 3; 李润求1; 3
（1 中南大学 资源与安全工程学院，湖南 长沙 410083; 2 湖南科技大学 计算机科学与工程学院，湖南 湘潭 411201; 3 湖南科技大学 煤矿安全开采技术湖南省重点实验室，湖南 湘潭 411201)
Author(s):
NIAN Qi feng 1; 2; 3;  SHI Shi liang 1; 3;  LI Run qiu 1; 3
1 School of Resource & Safety Engineering, Central Southern University, Changsha Hunan 410083, China; 2 School of Computer Science & Engineering, Hunan University of Science & Technology, Xiangtan Hunan 411201, China; 3 Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines, Hunan University of Science  & Technology, Xiangtan Hunan 411201, China)
关键词:
煤与瓦斯突出预测; 网络分析法; 联系熵; ANP-CE模型
Keywords:
coal and gas outburst prediction;  analytic network process;  connection entropy;  ANPCE model
分类号:
X928.01
DOI:
10.11731/j.issn.1673-193x.2014.02.004
文献标志码:
A
摘要:
以煤与瓦斯突出预控为目的，将网络分析法和联系熵理论相耦合，建立了煤与瓦斯突出预测的ANP-CE模型。该模型运用网络分析法建立了煤与瓦斯突出预测指标网络模型并计算预测指标权重分布，划分了突出危险性等级及其相应的指标临界值，确定了各危险等级的联系熵范围。结合工程实例，预测结果与工程实际情况相符，表明了该预测模型在计算预测指标权重分布和煤与瓦斯突出危险性预测上具有可行性和合理性，为煤与瓦斯突出预测方法提供了一种新的途径。
Abstract:
Based on analytic network process and connection entropy theories, the ANPCE prediction model for coal and gas outburst was established. The network computing model for prediction indexes of coal and gas outburst was built, and its weight distribution was calculated. The risk classes and their corresponding critical values were divided, and the ranges of connection entropy for each risk class were determined. Combining with practical work, the prediction results were matched with the fact, which showed that the prediction model has the feasibility and rationality for computing the weight distribution and forecasting on coal and gas outburst, and it provides a new way and method for the prediction of coal and gas outburst in coal mines.

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(51274100); 湖南省教育厅科研资助项目(10C0690),煤矿安全开采技术湖南省重点实验室资助项目(201002)
更新日期/Last Update: 2014-02-28