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针对大坝观测数据的模糊性和随机性问题,引入投影寻踪法(PPA)及云模型(CM)理论,提出了基于PPA-CM模型的大坝变形监控指标拟定方法。模型采用投影寻踪法确定大坝各变形测点权重,运用信息熵理论构建多测点变形熵,基于云模型理论计算多测点变形熵的数字特征值,并依据云模型的3En规则,拟定了大坝变形测点的监控指标。结合实例,通过与小概率法结果对比分析,表明该方法合理、可行,具有重要工程应用价值。
In view of the fuzziness and randomness of dam observation data, PPA and CM theory are introduced, and the method of drafting dam deformation monitoring index based on PPA-CM model is proposed. In the model, the projection tracking method is used to determine the weight of each deformation measuring point of the dam, the information entropy theory is used to construct the deformation entropy of multiple measuring points, and the digital eigenvalues of deformation entropy of multiple measuring points are calculated based on the cloud model theory. Dam deformation measuring point monitoring indicators. Combined with examples, the results of comparative analysis with small probability method show that the method is reasonable and feasible, and has important engineering application value.