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

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.