[1]王 莉,李红霞,田 生,等.瓦斯爆炸3类危险源评价指标优化[J].西安科技大学学报,2011,(06):693-697.
 WANG Li,LI Hong-xia,TIAN Sheng,et al.Optimization for three types of gas explosion hazard evaluation index[J].Journal of Xi'an University of Science and Technology,2011,(06):693-697.
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瓦斯爆炸3类危险源评价指标优化()
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2011年06期
页码:
693-697
栏目:
出版日期:
2011-12-29

文章信息/Info

Title:
Optimization for three types of gas explosion hazard evaluation index
文章编号:
1672-9315(2011)06-0698-05
作者:
王 莉12李红霞3田 生4申 林4
1.西安科技大学 能源学院,陕西 西安 710054; 2. 教育部 西部矿井开采及灾害防治重点实验室,陕西 西安 710054; 3.西安科技大学 管理学院,陕西 西安 710054; 4.中石油华北油田公司 第一采油厂,河北 任丘 062552
Author(s):
WANG Li12LI Hong-xia3TIAN Sheng4SHEN Lin4
1.College of Energy Science and Engineering, Xi'an University of Science and Technology,Xi'an 710054,China; 2.Key Laboratory of Western Mines and Hazard Prevention, Ministry of Education of China,Xi'an 710054; 3.College of Management, Xi'an University of Science and Technology,Xi'an 710054,China; 4.1st Oil Extraction Factory,Huabei(North China)Oil Field,Renqiu,062552,China
关键词:
瓦斯爆炸 3类危险源 粗糙集
Keywords:
gas explosion three types of hazard rough set
分类号:
TD712;X936
文献标志码:
A
摘要:
煤矿瓦斯爆炸是当前对煤矿安全生产威胁最大、最突出的问题之一。对瓦斯爆炸开展危险源辨识和评价,必须全面考虑评价对象指标。文中在3类危险源划分理论的基础上对其划分进行修正,进而构建初步的瓦斯爆炸3类危险源评价指标体系。该体系包括3类共33项; 通过现场数据收集,基于粗糙集方法将该指标体系数据约简为19项; 采用Rosetta软件进行仿真计算,借助神经网络工具,通过煤矿瓦斯危险源评价过程来验证指标约简的合理性。经验证得出,粗糙集处理后的危险源评价神经网络在模拟计算过程中精度大幅度提高,网络收敛速度加快,证明了应用粗糙集方法对煤矿瓦斯爆炸危险源评价指标体系进行优化是可行的。开展煤矿瓦斯爆炸危险源评价指标体系的优化研究,对于提高危险源评价系统的准确性和实时性具有一定的积极意义。
Abstract:
Comprehensive targets of safety evaluation should be taken into account to identify and assess gas explosion accidents. This paper revised the division of three types of hazard in coalmine based on the Three Type Hazard theory, and set up a preliminary evaluation index system of gas explosion, including three types 33 terms. Data on spot was collected, and the index were reduced to 19 terms based on Rough Set. Software Rosetta was used for simulation through gas hazard evaluation to test the reduction was reasonable by Neural Network. It was proved that the accuracy improved in hazard evaluation network simulation after Rough Set reduction as well as convergence rate accelerated, which showed feasibility of this optimization method.

参考文献/References:

[1] 田水承,李红霞.从3类危险源理论看煤矿事故的频发[J].中国安全科学学报,2007,17(1):10-15.
TIAN Shui-cheng, LI Hong-xia.Probe into the frequency of coalmine accidents based on the theory of three types of hazards[J].China Safety Science Journal,2007,17(1):10-15.
[2] TIAN Shui-cheng, ZHAO Hua-jie. Safety assessment model of gas explosion hazard in coal mine based on wavelet neural network[C]//TIAN Shui-cheng,SHI Cui-rong.2009 China-Japan Symposium on Safety Management Theory and Practice,Xi'an:China University of Mining and Technology Press,2009.
[3] WANG Li,TIAN Shui-cheng. Research on gas explosion IDSS in coalmines based on CBR[C]//IEEE.International Conference on Advanced Computer Control,Singapore:IEEE Computer Society,2009.
[4] 王 莉,田水承.瓦斯爆炸3类危险源系统结构建模与分析[J].西安科技大学学报,2010,30(6):651-656.
WANG Li, TIAN Shui-cheng. Structure of three-type-hazard system in gas explosion based on ISM[J]. Journal of Xi'an University of Science and Technology,2010,30(6):651-656.
[5] 王 莉.基于3类危险源划分的煤矿瓦斯爆炸事故机理与预警研究[D].西安:西安科技大学,2010.
WANG Li.Research on mechanism and early-warning of coal mine gas explosion accidents based on three-type of hazards division[D].Xi'an: Xi'an University of Science and Technology,2010.

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备注/Memo

备注/Memo:
基金项目: 陕西省教育厅专顶基金项目(08JK364); 西安科技大学博士启动基金项目 通讯作者: 王 莉(1982-),女,河南灵宝人,讲师,主要从事安全管理与安全系统工程、危险源辨识与安全评价研究.
更新日期/Last Update: 2011-12-29