钢铁企业安全生产事故风险预警模型研究

发布时间：2018-04-10 17:43

本文选题：钢铁企业 + 安全生产　；参考：《华北理工大学》2015年硕士论文

【摘要】：安全是企业健康发展的重要保证,安全生产事故造成人身伤害和财产损失,严重制约着企业的发展。钢铁工业是我国的重要支柱产业,在国民经济发展中起着举足轻重的作用。然而钢铁工业生产工艺复杂,生产过程中存在很多危险因素,容易引发安全生产事故,钢铁工业的安全生产现状不容乐观。因此,如何在事故发生前进行有效预警是一个理论性和实践性都很强的重大课题。钢铁企业安全生产事故风险预警模型的研究,可以使钢铁企业在事故发生前采取有效的防范措施,减小事故发生率,保证钢铁企业生产安全。能够使钢铁企业的安全生产工作更加规范,安全管理能力得到大幅提高。对钢铁企业的健康发展具有很强的理论和现实意义。论文运用跨学科研究法、定性与定量分析相结合法开展深入研究。在相关概念和理论研究的基础上,首先对我国钢铁企业2003-2013年间发生的55起安全生产事故进行统计分析,找出影响钢铁企业安全生产的主要因素,即人因要素,物态要素,管理要素和环境要素,又将这四个要素进行细分,并结合相关理论和文献构建钢铁企业安全生产事故风险预警指标体系。然后构建了基于模糊数学综合评价法和灰色综合评价法的事故预警模型,在模型确定指标权重时运用改进的层次分析法,提高模型的可靠性。接着以河北唐银钢铁有限公司为例,分别应用模糊数学综合评价模型和灰色综合评价模型对其安全生产事故风险做出评价,经过比较,两个模型的预警结果基本一致,证明模型具有有效性。最后,从安全意识、劳动组织、规章制度、安全培训和事故防范等方面提出预警管理措施,利用管理手段,保证钢铁企业生产安全。
[Abstract]:Safety is an important guarantee for the healthy development of enterprises. Safety accidents cause personal injury and property losses, which seriously restrict the development of enterprises.Iron and steel industry is an important pillar industry of our country, which plays an important role in the development of national economy.However, the production process of iron and steel industry is complex, and there are many dangerous factors in the production process, which can easily lead to accidents in production safety. The present situation of safety production in iron and steel industry is not optimistic.Therefore, how to carry on the effective early warning before the accident occurs is an important subject with strong theory and practice.The research on the early warning model of safety accidents in iron and steel enterprises can make the iron and steel enterprises take effective preventive measures before the accidents occur, reduce the incidence of accidents, and ensure the production safety of iron and steel enterprises.Can make the safety production of iron and steel enterprises more standardized, safety management ability has been greatly improved.It has strong theoretical and practical significance for the healthy development of iron and steel enterprises.The paper uses cross-disciplinary research method, qualitative and quantitative analysis to carry out in-depth research.On the basis of related concepts and theoretical studies, this paper first makes a statistical analysis of 55 accidents of safety in iron and steel enterprises in China from 2003 to 2013, and finds out the main factors that affect the safety of production in iron and steel enterprises, that is, human factors and physical elements.Management factors and environmental factors are subdivided into four elements, and combining with relevant theory and literature, the early warning index system of safety accident risk in iron and steel enterprises is constructed.Then an accident warning model based on fuzzy mathematics comprehensive evaluation method and grey comprehensive evaluation method is constructed. The improved analytic hierarchy process is used to improve the reliability of the model when determining the index weight of the model.Then taking Hebei Tangyin Iron and Steel Co., Ltd as an example, the fuzzy mathematics comprehensive evaluation model and the grey comprehensive evaluation model are applied to evaluate the risk of safety production accidents. After comparison, the warning results of the two models are basically the same.The validity of the model is proved.Finally, early warning management measures are put forward from the aspects of safety consciousness, labor organization, rules and regulations, safety training and accident prevention and so on. The management means are used to ensure the production safety of iron and steel enterprises.
【学位授予单位】：华北理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TF088

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