Xin Jingzhou, Wang Chen, Tang Qizhi, Zhang Renli, Yang Tao
School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China.
Northeast Operation Branch of Chongqing Expressway Group Co., Ltd., Chongqing 401120, China.
Sensors (Basel). 2023 Aug 12;23(16):7139. doi: 10.3390/s23167139.
Aiming at comprehensively evaluating the status of a bridge monitoring system, an evaluation framework based on the improved Delphi, analytic Hierarchy process, Grey relations analysis and Fuzzy integrated evaluation (DHGF) is selected. Firstly, the evaluation indexes for the bridge monitoring system are determined by an anonymous group discussion and expert questionnaire using the improved Delphi method. Secondly, a comparison matrix of the evaluation indexes is constructed to determine the comprehensive weight via the analytic hierarchy process. Then, based on the gray relations analysis, the albino weight function is constructed, the evaluation gray class is determined, and the single-factor fuzzy evaluation matrix is obtained. Finally, the final evaluation result was obtained by the fuzzy comprehensive evaluation. The evaluation results of a real bridge monitoring system show that the evaluation level of the monitoring system was level II, and the proposed framework could better reflect the construction and operation status of the monitoring system.
为全面评估桥梁监测系统的状态，选取了一种基于改进德尔菲法、层次分析法、灰色关联分析和模糊综合评价（DHGF）的评估框架。首先，采用改进德尔菲法通过匿名小组讨论和专家问卷调查确定桥梁监测系统的评估指标。其次，构建评估指标的比较矩阵，通过层次分析法确定综合权重。然后，基于灰色关联分析构建白化权函数，确定评估灰类，得到单因素模糊评价矩阵。最后，通过模糊综合评价得到最终评估结果。某实际桥梁监测系统的评估结果表明，该监测系统的评估等级为二级，所提出的框架能够较好地反映监测系统的建设和运行状况。
