冶金生产企业风险分级研究
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  • 英文篇名:Research on Risk Quantification and Classification of Metallurgical Enterprises
  • 作者:东淑 ; 赵江平 ; 范春雷 ; 任行敏 ; 赵腾飞
  • 英文作者:DONG Shu;ZHAO Jiangping;FAN Chunlei;REN Xingmin;ZHAO Tengfei;Xi'an University of Architecture and Technology;Henan Tite Engineering Technology Co.LTD.;
  • 关键词:冶金企业 ; 风险分级 ; 灰色变权聚类分析
  • 英文关键词:metallurgical enterprise;;risk grading;;grey variable weight clustering analysis
  • 中文刊名:ANQU
  • 英文刊名:Safety & Security
  • 机构:西安建筑科技大学;河南天泰工程技术有限公司;
  • 出版日期:2019-07-15
  • 出版单位:安全
  • 年:2019
  • 期:v.40;No.313
  • 基金:国家安监总局2018年安全生产重特大事故防治关键技术科技项目(henan-0004-2018AQ)
  • 语种:中文;
  • 页:ANQU201907008
  • 页数:5
  • CN:07
  • ISSN:11-2411/X
  • 分类号:39-43
摘要
冶金行业存在诸多风险,对其进行风险分级研究可以更好地做好预防工作。首先对冶金企业的危险有害因素进行了辨识;其次,建立冶金企业风险指标体系;最后,运用MATLAB与灰色变权聚类分析法计算风险等级。结果表明,违反操作规程的风险等级最高,是影响冶金企业生产风险级别的最高指标,遵守操作规程是企业安全工作的管理重点。
        In recent years, there have been many risks in the metallurgical industry. Research on risk grading can better do preventive work. This paper first identifies the dangerous and harmful factors of the metallurgical enterprises. Second, it establishes a metallurgical enterprise risk index system. Finally, it uses MATLAB and gray variable weight cluster analysis to calculate the risk level. The results indicate that the risk level of violation of the operating procedures is the highest. Therefore, the "violation of operating procedures" is the highest level of production risk indexes of metallurgical enterprises, and compliance with the operating procedures is the management focus of the company's safety work.
引文
[1]韩建新.钢铁冶金企业重大火灾危险源辨识及其危险性评估[C].//中国科协2005年学术年会论文集科学发展观与公共消防安全(第24分会场)论文汇编.2005:277-280.
    [2]王中兴,李晓琴,张维克.论安全风险分级管控与隐患排查治理双控体系建设[J].安全,2018,39(2):43-45.
    [3]雷刚,冯杰,张昊.金属非金属矿山风险分级管控与应急信息管理[J].工业安全与环保,2017,43(8):57-60.
    [4]万古军.基于风险值的中国石化安全风险量化分级管控[J].安全、健康和环境,2018,18(1):40-43.
    [5]张博文,王晓丽,关文玲.HAZOP在钢铁企业安全风险分析中的应用[J].现代职业安全,2015,(11):86-88.
    [6]周真,孙中元,刘芳.基于AHP的生产企业风险级别分类模型研究[J].哈尔滨理工大学学报,2010,15(1):103-106.
    [7]周建新,刘铁民,胡坚.企业职业伤害风险分级模型研究[J].中国安全生产科学技术,2005,1(4):22-26.
    [8]易高翔.北京市危险化学品企业安全生产风险评估分级研究[J].中国安全生产科学技术,2010,6(6):93-97.
    [9]罗通元,段礼祥,柳楠.基于熵权-模糊综合评判的输油管道风险分析[J].安全,2017,38(6):17-20.
    [10]Zhang Kang,Duan Menglan,Luo Xiaolan,et al.A Fuzzy Risk Matrix Method and Its Application to the Installation Operation of Subsea Collet Connector[J].Journal of Loss Prevention in the Process Industries,2017,45(1):147-159.
    [11]唐海宁,肖志海,郭恒彰,等.LEC法在双30气井固井作业中风险评价的应用[J].安全,2016,37(4):29-32.
    [12]Jason Michael Woodruff.Consequence and Likelihood in Risk Estimation:A matter of Balance in UK Health and Safety Risk Assessment Practice[J].Safety Science,2005,(5):43.
    [13]Naiming Xie,Jianghui Xin.China’s Regional Meteorological Disaster Loss Analysis and Evaluation based on Grey Cluster Model[J].Natural Hazards,2014,(2):71.
    [14]Sun Yongbo.Research on Supplier Evaluation of Rough Sets and Fuzzy Grey Relational Cluster Clustering Analysis[P].E-Business and Information System Security(EBISS),2010 2nd International Conference on,2010.
    [15]Qu Ying,Jia Jian,Wu Qizong.Latent Variable Study Algorithm based on Grey Cluster Relation Analysis Method[P].Control and Decision Conference,2009.CCDC'09.Chinese,2009.
    [16]许树芳,许开立.冶金企业重大危险源辨识[J].安全,2008,29(7):15-17.
    [17]李有刚.冶金安全生产事故频发的根源及对策措施[J].商品与质量,2017,(43):257.
    [18]许巧娟.冶金安全生产事故频发的根源及对策措施[J].城市建设理论研究(电子版),2016,(9):3071.
    [19]袁辉.中安协冶金专委会及2016年冶金企业事故统计分析会召开[J].钢铁冶金,2017,(8):45.
    [20]搜狐网.中安协冶金专委会及2017年冶金企业事故统计分析[EB/OL].[2017-08-26].http://www.sohu.com/a/167439023_743482.
    [21]赵江平,崔晓红,周慈.水泥工业生产中危险有害因素的辨识、评价与控制[J].安防科技,2004,(5):16-17.
    [22]刘思峰.灰色系统理论及其应用[M].北京:科学出版社,2014:430.

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