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[1]李润求,施式亮,伍爱友,等.煤矿瓦斯灾害事故的分形特性[J].中国安全生产科学技术,2014,10(9):25-29.[doi:10.11731/j.issn.1673-193x.2014.09.004]
　LI Run-qiu,SHI Shi-liang,WU Ai-you,et al.Research on fractal characteristics of gas accident in coal mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(9):25-29.[doi:10.11731/j.issn.1673-193x.2014.09.004]
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煤矿瓦斯灾害事故的分形特性
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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9期
页码:
25-29
栏目:
学术论著
出版日期:
2014-09-30

文章信息/Info

Title:
Research on fractal characteristics of gas accident in coal mine
作者:
李润求1; 2;  施式亮1; 2;  伍爱友1; 2;  罗文柯1; 2
(1. 湖南科技大学 能源与安全工程学院, 湖南 湘潭 411201； 2.煤矿安全开采技术湖南省重点实验室，湖南 湘潭 411201)
Author(s):
LI Run-qiu1; 2; SHI Shi-liang1; 2;  WU Ai-you1; 2;  LUO Wen-ke1; 2
(1. School of Energy & Safety Engineering, Hunan University of Science & Technology, Xiangtan Hunan 411201, China; 2. Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines, Xiangtan Hunan 411201, China)
关键词:
瓦斯灾害; 瓦斯事故; 分形时间序列; R/S分析; 煤矿
Keywords:
gas disaster;  gas accident;  fractal time series;  rescaled range (R/S) analysis;  coal mine
分类号:
X928.01
DOI:
10.11731/j.issn.1673-193x.2014.09.004
文献标志码:
A
摘要:
为了解瓦斯灾害的演化特性与规律，应用分形理论中的R/S分析方法，对2000~2013年我国煤矿瓦斯事故及不同瓦斯事故类型建立四个时间序列进行分形特性研究，其重标极差的线性回归相关系数R在09715～09983之间，给定显著性水平α=005，经t检验，回归方程可靠；四个时间序列的赫斯特指数H在05998～09944之间，分形维数D在10056～14002之间，时间序列均具有明显的赫斯特现象和较强的约瑟效应。结果表明：煤矿瓦斯事故持续减少的趋势性很强；R/S分析方法能较好地反映煤矿瓦斯灾害子系统复杂的非线性动力学特性
Abstract:
In order to grasp the evolution features and laws of gas disasters in coal mines, the four fractional time series was established by use accidents of gas, poisoning and suffocation, coal and gas outburst, and gas explosion from 2000 to 2013 in coal mines in China. Based on R/S analysis, the fractal characteristics of above four time series was studied. Linear regression correlation coefficient of the rescaled range of that four series was between 09715 to 09944, and the regression equation was reliable by the t-test where α=005; the Hurst index of the four time series was between 05998 to 09944, and that of the fractal dimension was between 10056 to 14002, so the four time series have obvious Hurst phenomenon and the stronger Joseph effect. The results show that the accidents of gas disasters in coal mine will continue to maintain a strong downward trend; R/S analysis method can better reflect the dynamic characteristics of subsystem of gas disaster in coal mines.

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备注/Memo

备注/Memo:
国家自然科学基金项目(51274100);湖南省教育厅科学研究项目（14C0424，14B058）；湖南省科技厅计划项目(2012FJ4268)
更新日期/Last Update: 2014-09-30