|本期目录/Table of Contents|

[1]黄亮,王会敏,岳立柱,等.基于偏序集的采空区塌陷危险性评价研究[J].中国安全生产科学技术,2019,15(4):134-140.[doi:10.11731/j.issn.1673-193x.2019.04.021]
 HUANG Liang,WANG Huimin,YUE Lizhu,et al.Study on risk assessment of goaf collapse based on partial order set[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(4):134-140.[doi:10.11731/j.issn.1673-193x.2019.04.021]
点击复制

基于偏序集的采空区塌陷危险性评价研究
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年4期
页码:
134-140
栏目:
职业安全卫生管理与技术
出版日期:
2019-04-30

文章信息/Info

Title:
Study on risk assessment of goaf collapse based on partial order set
文章编号:
1673-193X(2019)-03-0134-07
作者:
黄亮1王会敏12岳立柱3金珊1
(1.辽宁工程技术大学 矿业学院,辽宁 阜新 123000;2. 东北大学 资源与土木工程学院, 辽宁 沈阳 110819;3. 辽宁工程技术大学 公共管理与法学院,阜新转型创新发展研究院, 辽宁 阜新 123000)
Author(s):
HUANG Liang1 WANG Huimin12 YUE Lizhu3 JIN Shan1
(1.Mining Institute, Liaoning Technology University, Fuxin Liaoning 123000, China;2. School of Resources & Civil Engineering, Northeastern University, Shenyang Liaoning 110819, China;3.Public Administration and Law of Liaoning Technical University School, Fuxin Institute for Transformation and Innovation Development, Fuxin Liaoning 123000, China)
关键词:
偏序集采空区塌陷危险性评价Hasse图预测
Keywords:
partial order set goaf collapse risk assessment hasse diagram prediction
分类号:
X936;P642.26
DOI:
10.11731/j.issn.1673-193x.2019.04.021
文献标志码:
A
摘要:
针对采空区塌陷危险性评价方法中的赋权争议问题,基于偏序集理论提出偏序集评价模型。首先阐明评价指标并确定其分级标准;然后应用偏序集评价模型得到Hasse图,并通过图展现的层集信息判别采空区塌陷危险程度;最后应用该模型对大宝山矿11个采空区的塌陷程度进行判别,评价结果准确合理。研究结果表明:该模型避免了以往研究中的赋权争议问题,克服了样本量不足致使模型无法应用的问题,而且能够应用更多的赋权方法识别排序的稳定程度,体现出样本间的分层信息。
Abstract:
Aiming at the problem of weighting disputes in the risk assessment method of goaf collapse, a partial order set evaluation model was proposed based on partial order set theory. The evaluation index was clarified and the grading criteria was determined. The Hasse diagram was obtained by using the partial order set evaluation model, and the risk of goaf collapse was distinguished by the layer set information presented by the Hasse diagram. The model is applied to distinguish the collapse degree of 11 goafs in Dabaoshan mine, and the evaluation results are accurate and reasonable. The results show that the model avoids the problem of weight disputes in previous studies, overcomes the problem that the model is not applicable due to the insufficient sample size, and can apply more weighting methods to identify the stability of the ranking, reflecting the differences between samples.

参考文献/References:

[1]邓红卫,贾明.基于UAHP的采空区稳定性模糊综合评判[J].中国安全科学学报,2013,22(3):24-29. DENG Hongwei,JIA Ming. Fuzzy comprehensive evaluation of gob area stability based on uncertain analytic hierarchy process [J]. China Safety Science Journal, 2013,22 (3):24-29.
[2]张丽,黄敬军,徐书刚,等.徐州城市规划区煤矿采空区稳定性评价[J].水文地质工程地质,2017,44(2):124-128. ZHANG Li,HUANG Jinjun, XU Shugang,et al. Stability evaluation of goaf in Xuzhou urban planning area [J]. Hydrogeology & Engineering Geology, 2017,44 (2) : 124-128.
[3]付玉华,肖国喜.采空区塌陷预测的多元识别模型[J].有色金属科学与工程,2012,3(6):61-64. FU Yuhua, XIAO Guoxi. Multiple indexes identification model for the prediction of goaf collapse[J], Nonferrous Metals Science and Engineering, 2012, 3(6): 61-64.
[4]赵超,马俊超,万黎明,等.基于层次可拓分析法的采空区塌陷危险性评价研究[J].安全与环境工程2016,23(6):35-40. ZHAO Chao, MA Junchao, WANG Liming,et al. Risk evaluation of underground goaf collapse based on the hierarchy extension analysis [J]. Safety and Environmental Engineering, 2016,23 (6) : 35-40.
[5]宫凤强,李夕兵,董陇军,等.基于未确知测度理论的采空区危险性评价研究[J].岩石力学与工程学报,2008,27(2):323-329. GONG Fengqiang, LI Xibing, DONG Longjun,et al. Underground goaf risk evaluation based on uncertainty measure theory [J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(2):323-329.
[6]陈建.大宝山矿采空区灾害危险度的模糊综合评价[J].矿业快报,2008(11):49-52. CHEN Jian. Fuzzy comprehensive evaluation of hazard hazard in goaf of dabaoshan mine[J]. Mining journal, 2008(11):49-52.
[7]王新民,丁德强,段瑜. 灰色关联分析在地下采空区危险度评价中的应用[J]. 中国安全生产科学技术,2006,2(4):35-39. WANG Xinming, DING Deqiang, DUAN Yu. Applications of the grey relation analysis in the evaluation of the risk degree of the underground mined-out stopes[J]. Journal of Safety Science and Technology,2006,2(4):35-39.
[8]冯岩,王新民,程爱宝.采空区危险性评价方法优化[J].中南大学学报(自然科学版),2013,44(7):2881-2888. FENG Yan, WANG Xinming,CHENG Aibao. Method optimization of underground goaf risk evalution[J]. Journal of Central South University (Science and Technology), 2013,44 (7) : 2881-2888.
[9]张连杰, 武雄, 谢永, 等. 基于T-S模糊神经网络的采空塌陷危险性判别[J]. 现代地质, 2015, 29(2): 461-465. ZHANG Lianjie, WU Xiong, XIE Yong, et al. Evaluation of underground goaf stability based on T-S fuzzy neural network model[J]. Geoscience, 2015, 29(2): 461-465.
[10]陈红江, 李夕兵, 高科. 突变级数法在采空区塌陷预测中的应用[J]. 安全与环境学报, 2008, 8(6): 108-111. CHEN Hongjiang, LI Xibing, GAO Ke. On the application of catastrophe progression method to predicting the likely mining collapse accidents[J]. Journal of Safety and Environment, 2008, 8(6): 108-111.
[11]毛华.偏序集理论在拟阵论中的应用[D]. 西安: 西安电子科技大学,2002.
[12]岳立柱, 张志杰, 闫艳. 蕴含权重的偏序集多准则决策法[J]. 运筹与管理, 2018, 27(2): 26-31. YUE Lizhu, ZHANG Zhijie, YAN Yan. Multi criteria decision making method of poset with weight[J]. Operations Research and Management Science, 2018, 27(2): 26-31.
[13]范懿. 一个有关哈斯图的解析方法[J]. 上海第二工业大学学报, 2003, 20(1): 17-22. FAN Yi. An analytic method about Hasse chart[J]. Journal of Shanghai Second Polytechnic University, 2003, 20(1): 17-22.
[14]BRGGEMANN R, SRENSEN P B, LERCHE D, et al. Estimation of averaged ranks by a local partial order model[J].Journal of Chemical Information and Computer Sciences, 2004, 44(2): 618-625.
[15]叶图强, 陈晶晶, 王铁. 露天开采复杂采空区的危险性探测与分析[J]. 中国矿业, 2012, 21(1): 87-89. YE Tuqiang, CHEN Jingjing, WANG Tie. Risk detecting and analysis of complex gob in the opencast mining[J]. China Mining Magazine, 2012, 21(1): 87-89.
[16]段瑜.地下采空区灾害危险度的模糊综合评价[D].长沙:中南大学,2005.
[17]长沙拓金科技发展有限公司.大宝山井下安全现状综合评估研究报告[R].长沙:中南大学资源与安全工程学院,2005.

相似文献/References:

[1]陈金全,王继仁,岳立柱.基于偏序集的采空区煤自燃可能性评价模型[J].中国安全生产科学技术,2019,15(2):89.[doi:10.11731/j.issn.1673-193x.2019.02.014]
 CHEN Jinquan,WANG Jiren,YUE Lizhu.Evaluation model on possibility of coal spontaneous combustion in goaf based on partially ordered set[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(4):89.[doi:10.11731/j.issn.1673-193x.2019.02.014]

备注/Memo

备注/Memo:
收稿日期: 2019-03-05
基金项目: 国家自然科学基金委员会与中国民用航空局联合项目(U1733117);中央高校基本科研业务费项目(ZYGX2018003)
作者简介: 黄亮,硕士研究生,主要研究方向为地质工程、地质灾害。
更新日期/Last Update: 2019-05-09