The evaluation model of dam overall behavior based on cloud theory
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摘要: 现有的大坝整体性态评价方法以定性评价为主，主观性较强。针对这一问题，以单测点监控模型的计算值与监测仪器实测值之间的残差为基础，提出采用多测点融合残差表征大坝整体性态。结合信息熵理论研究了不同测点的残差变化规律，从而对各测点残差的融合权重进行了分配。通过对融合残差进行分布分析，利用逆向云发生器、正向云发生器建立了概念云，即评价标准。在此基础上，基于云相似度算法，建立了大坝整体性态的评价模型。算例表明，该模型能够有效识别大坝监测资料中的异常测值，并能够定量、客观地评价大坝整体性态，评价结果合理、可靠，可为保障大坝安全运行提供参考。Abstract: The existing dam's overall behavior evaluation methods are mainly qualitative and subjective. Aiming at this problem, the residual between the model calculated value and measured value is taken as the basis. The concept of fusion residual is promoted, which is an important index to characterize the overall behavior of dam. Combined with the information entropy theory, the variation of residuals at different measuring points is studied, and the fusion weight of residuals at each measuring point is analyzed. Through the distribution analysis of fusion residual, the concept cloud, namely evaluation criteria, is established by using reverse cloud generator and forward cloud generator. On this basis, a evaluation model of dam overall behavior is established based on cloud similarity algorithm. The example shows that the evaluation method can effectively identify the abnormal value of the dam, and make a evaluation for the overall behavior of dam. The evaluation results are reasonable and reliable. The model can be used to diagnose the state of the dam quantitatively and objectively and guarantee the safe operation of the dam.
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Key words:
- dam /
- fusion residual /
- overall behavior /
- cloud theory /
- evaluation model
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