The safety of port crane metal structures critically impacts operational efficiency and personnel safety. To address the limitations of traditional safety evaluation methods (e.g., reliance on expert experience and subjectivity), this study proposes a monitoring and evaluation technology based on an improved fuzzy comprehensive evaluation algorithm. A hierarchical index system was built by analyzing key factors (strength, stiffness, cracks, etc.), and the “0–4 scoring method” with a “distance-normalized” membership function optimized the model. This enabled a multi-level evaluation process from single factors to the entire machine, achieving quantitative safety classification (0–100 score) and intuitive grading (low, medium, high). In a case study, the system yielded an evaluation score of 88.15, indicating good structural condition with maintenance recommendations aligned with operational demands.

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Research on Condition Monitoring and Safety Evaluation Technology of the Metal Structure of Port Cranes

  • Zhanwen Wu,
  • Zhigang Liu,
  • Kun Chen,
  • Junjiao Zhang,
  • Zongying Yu,
  • Yixing Wang

摘要

The safety of port crane metal structures critically impacts operational efficiency and personnel safety. To address the limitations of traditional safety evaluation methods (e.g., reliance on expert experience and subjectivity), this study proposes a monitoring and evaluation technology based on an improved fuzzy comprehensive evaluation algorithm. A hierarchical index system was built by analyzing key factors (strength, stiffness, cracks, etc.), and the “0–4 scoring method” with a “distance-normalized” membership function optimized the model. This enabled a multi-level evaluation process from single factors to the entire machine, achieving quantitative safety classification (0–100 score) and intuitive grading (low, medium, high). In a case study, the system yielded an evaluation score of 88.15, indicating good structural condition with maintenance recommendations aligned with operational demands.