CAJ | 학술논문

为克服现有大坝安全监控指标拟定方法的不足，利用云模型，采用数字特征熵来揭示异常值的随机性与模糊性，通过期望、熵和超熵构成的特定结构算法，将大坝安全与否的定性概念定量表示，以此拟定安全监控指标。由于大坝监测效应量影响因素复杂，监测数据常存在高频噪声，因此应对原始数据进行降噪处理。以福建某大坝水平位移为例，先用经验模态分解（EMD）滤波方法去噪，然后采用云模型进行安全监控指标拟定，并与典型的小概率法进行对比分析。结果表明，基于EMD去噪和云模型拟定的监控指标是合理准确的。
위극복현유대패안전감공지표의정방법적불족，이용운모형，채용수자특정적래게시이상치적수궤성여모호성，통과기망、적화초적구성적특정결구산법，장대패안전여부적정성개념정량표시，이차의정안전감공지표。유우대패감측효응량영향인소복잡，감측수거상존재고빈조성，인차응대원시수거진행강조처리。이복건모대패수평위이위례，선용경험모태분해（EMD）려파방법거조，연후채용운모형진행안전감공지표의정，병여전형적소개솔법진행대비분석。결과표명，기우EMD거조화운모형의정적감공지표시합리준학적。
A cloud model was proposed in order to overcome the limitations of the existing method to establish the security index for the dam monitoring such as the typical probability method and the confidence interval method. The cloud model adopted numeral characteristics of entropy to reveal the randomness and fuzziness of outliers. Through a particular structural algorithm constitute of expected number,entropy and hyper entropy,the cloud model could translate the qualitative concept of dam safety to quantitative expression,which was used to establish the security index for the dam monitoring. The monitoring data often contains high frequency noise because of the complex influence factors,so it is necessary to de-noise the original data. The horizontal displacement of a dam in Fujian Province was taken as the example to testify the method based on empirical mode decomposition (EMD)filtering method and cloud model,and then it was compared with the traditional probability method. The result indicates that the method based on EMD filtering method and cloud model is accurate and reasonable.