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基于层次分析与贝叶斯网络的梁场智能化建造水平模糊评价方法

Fuzzy evaluation method for intelligent construction level of beam yard based on Analytic Hierarchy Process and Bayesian network

  • 摘要: 针对高速铁路预制梁场智能化水平评价中存在的因素复杂、主观性强及分级困难等问题,提出一种基于层次分析法与贝叶斯网络相结合的模糊综合评价方法。文章构建了涵盖智能化装备与施工、智能化试验检测、智能化管理及智能化程度的双层指标体系,并提出基于评价结果的等级划分方法,以推动梁场智能建造水平的持续提升。将该方法应用于某实际梁场的季度数据评价,结果显示,该梁场在前3个季度处于初级智能化水平,第4季度提升至中级水平,验证了评价体系的动态引导作用。实例分析表明,该方法具有较强的可操作性和较高的结果可信度,适用于梁场智能化水平的评价工作。

     

    Abstract: Addressing the issues of complex factors, strong subjectivity, and difficulty in grading in the evaluation of the intelligence level of prefabricated beam yard for high-speed railways, this paper proposed a fuzzy comprehensive evaluation method based on the combination of Analytic Hierarchy Process (AHP) and Bayesian networks, constructed a two-tier indicators system covering intelligent equipment and construction, intelligent test and inspection, intelligent management, and the degree of intelligence, A grade classification method based on the evaluation results was also proposed to promote the continuous improvement in the intelligent construction level of beam yard. The paper applied this method to the quarterly data evaluation of an actual beam yard. The results showed that the beam yard was at the primary intelligence level in the first three quarters and improved to the intermediate level in the fourth quarter, which verified the dynamic guiding role of the evaluation system. The case analysis indicates that this method has strong operability and high credibility of results, is suitable for evaluating the intelligence level of beam yard.

     

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