张鹏,周一恒,崔春义,等. 基于知识图谱和熵值优化的高桩码头模糊评估[J]. 水利水运工程学报,2024.. DOI: 10.12170/20240123001
引用本文: 张鹏,周一恒,崔春义,等. 基于知识图谱和熵值优化的高桩码头模糊评估[J]. 水利水运工程学报,2024.. DOI: 10.12170/20240123001
(ZHANG Peng, ZHOU Yiheng, CUI Chunyi, et al. Fuzzy evaluation of high-pile wharves based on knowledge graph and entropy optimization[J]. Hydro-Science and Engineering, 2024(in Chinese)). DOI: 10.12170/20240123001
Citation: (ZHANG Peng, ZHOU Yiheng, CUI Chunyi, et al. Fuzzy evaluation of high-pile wharves based on knowledge graph and entropy optimization[J]. Hydro-Science and Engineering, 2024(in Chinese)). DOI: 10.12170/20240123001

基于知识图谱和熵值优化的高桩码头模糊评估

Fuzzy evaluation of high-pile wharves based on knowledge graph and entropy optimization

  • 摘要: 高桩码头应用广泛,在其服役期内可能受到超载、淤积、环境腐蚀等因素影响,出现结构性能退化,对其进行服役性态评估具有重要价值。基于已有行业规范与工程案例整理了中国常见码头结构形式的服役性态评估指标体系,采用Top-down方式创建指标体系的知识图谱,并利用visNetwork工具包编写指标体系内核代码与BS架构交互界面。结合AHP-FCE法与评估指标进行码头服役性态评估:建立评语集与评估等级集进而得到模糊评估向量;采用熵值法(EM)对层次分析(AHP)中的权值进行修正,从而实现客观赋权。最后,以中国东南沿海某海港高桩码头结构为例进行流程演示,结合该工程特点从知识图谱中抽取安全评估指标并建立该工程分级评估系统,分层计算模糊评估向量并得到码头整体安全等级为A级。该结果与工程检测机构评估结果一致,验证了所建知识图谱的适用性与修正的AHP-FCE法的正确性,说明该方法可推广应用于其他各类码头结构的运维评估。

     

    Abstract: High-pile wharves are widely used and may experience structural performance degradation during their service life due to factors such as overloading, siltation, and environmental corrosion. Evaluating their service state is of significant importance. Based on existing industry standards and engineering cases, this study organizes a service state evaluation index system for common wharf structures in China. A top-down approach is used to create a knowledge graph of the index system, and the visNetwork toolkit is utilized to write the core code of the index system and the BS architecture interactive interface. The AHP-FCE method is combined with the evaluation indicators for the service state evaluation of wharves: establishing a set of comments and evaluation grade sets to obtain fuzzy evaluation vectors; the entropy method (EM) is used to correct the weights in the Analytic Hierarchy Process (AHP) to achieve objective weighting. Finally, the process is demonstrated using a high-pile wharf structure at a seaport in southeastern China. Safety evaluation indicators are extracted from the knowledge graph based on the characteristics of the project, and a hierarchical evaluation system is established. The fuzzy evaluation vectors are calculated layer by layer, resulting in an overall safety grade of A for the wharf. This result is consistent with the evaluation results of engineering inspection agencies, verifying the applicability of the constructed knowledge graph and the correctness of the modified AHP-FCE method. This indicates that the method can be widely applied to the operation and maintenance evaluation of other types of wharf structures.

     

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