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水力发电学报 ›› 2022, Vol. 41 ›› Issue (5): 59-74.doi: 10.11660/slfdxb.20220507

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大坝机理-数据融合模型的基本结构与特征

  

  • 出版日期:2022-05-25 发布日期:2022-05-25

Basic structure and characteristics of dam mechanism-data-driven fusion models

  • Online:2022-05-25 Published:2022-05-25

摘要: 机理与数据的融合对大坝建造-运维全生命周期性态准确高效评估与调控至关重要。本文梳理了大坝建造面临的主要难题与融合模型的发展历程,提出了融合模型串联、并联、混联的三种结构型式、基本特征及适用性,并通过混凝土拱坝温度场监测分析工程实例阐述了融合模型的应用方式及适用性。研究表明:融合模型分析预测能力强、准确性高、泛化能力强,能够处理复杂动态演化的数据;相比于非融合模型,三种结构型式的融合模型均体现出显著的优势,为解决大坝建造与运维过程中参数反演、监测分析、策略优化等问题提供一种新的视角和范式。

关键词: 大坝, 机理-数据, 融合模型, 基本结构, 适用性

Abstract: The fusion of mechanism and data is crucial to accurate and efficient assessment of the dam life cycle state and reservoir regulation. This paper discusses the major problems in dam construction and the development of fusion models, and suggests three types of structure for a mechanism-data-driven model-series, parallel and hybrid-along with a brief description of its basic characteristics and applicability. Then, the application and applicability are demonstrated in detail through an example of temperature field analysis for a concrete arch dam. Results show that this fusion model is more accurate and stronger in analysis, prediction and generalization of dam construction and operation, and it is applicable to complicated dynamical-evolving data. Compared with the traditional model, all the three model structures are advantageous. The mechanism-data-driven model provides a new perspective and paradigm for solving the problems of parameter inversion, monitoring and analysis, and strategy optimization in the stages of dam construction, operation and maintenance.

Key words: dam, mechanism-data, mechanism-data-driven model, basic structure, applicability

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