郭磊, 项卫东, 刘英男, 蒋宏业. 基于熵权法的新建长输天然气管道易损性评价[J]. 油气储运, 2015, 34(4): 373-376. DOI: 10.6047/j.issn.1000-8241.2015.04.006
引用本文: 郭磊, 项卫东, 刘英男, 蒋宏业. 基于熵权法的新建长输天然气管道易损性评价[J]. 油气储运, 2015, 34(4): 373-376. DOI: 10.6047/j.issn.1000-8241.2015.04.006
GUO Lei, XIANG Weidong, LIU Yingnan, JIANG Hongye. Vulnerability assessment on new long-distance gas pipeline based on entropy method[J]. Oil & Gas Storage and Transportation, 2015, 34(4): 373-376. DOI: 10.6047/j.issn.1000-8241.2015.04.006
Citation: GUO Lei, XIANG Weidong, LIU Yingnan, JIANG Hongye. Vulnerability assessment on new long-distance gas pipeline based on entropy method[J]. Oil & Gas Storage and Transportation, 2015, 34(4): 373-376. DOI: 10.6047/j.issn.1000-8241.2015.04.006

基于熵权法的新建长输天然气管道易损性评价

Vulnerability assessment on new long-distance gas pipeline based on entropy method

  • 摘要: 为了研究处于早期失效期的新建长输天然气管道风险分布规律, 根据新建长输天然气管道的特点, 将管道易损性影响因素归纳为4大类一级评价因子, 即第三方破坏、施工遗留问题、管理缺陷、设计与误操作, 并将一级评价因子进一步细分为23项二级评价因子, 从而建立了多层次的新建长输天然气管道易损性评价指标体系.为克服传统权重赋值方法不考虑评价因子指标差异性的弊端, 利用熵权赋值理论建立了适用于新建长输天然气管道的易损性评价模型.研究表明, 该模型可以消除评价因子赋权过程中主观因素的不利影响, 定量反映各评价因子的相互作用及指标取值差异性对管道易损性评价结果的综合影响.最后, 通过实例验证了该评价方法的可行性。

     

    Abstract: In order to identify the risks of new long-distance gas pipeline which is exposed to premature failure, according to the characteristics of the pipeline, the influential factors of pipeline vulnerability are classified into 4 first-grade factors, i.e. damage by the third party, remained construction problems, management flaw, and design and incorrect operation, which are further divided into 23 second-grade factors. Thus, the multi-level vulnerability assessment system for new long-distance gas pipelines is established. Since the traditional weighting method does not take into consideration the index differential of assessment factors, the entropy method is used to establish the vulnerability assessment model which is applicable to the new long-distance gas pipeline. Research indicates that the model can eliminate the negative effect in the process of weighting calculation of assessment factors, quantitatively reflect the interaction of assessment factors and the total effects of index differential on vulnerability assessment results of pipeline. Finally, experiments are carried out to prove the feasibility of the assessment method.

     

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