一种基于智能计算的数字孪生流域特征要素识别方法
本发明公开一种基于智能计算的数字孪生流域特征要素识别方法,主要面向具有动态特性的诸如涉水工程运行、灾害演变、流场等一类随时间变化的特征要素,通过智能计算的技术手段,实现特征要素识别,支撑数字孪生流域中数字底板建设。针对动态特征要素时变性、隐藏性、弱小性突出的问题,创新提出了模拟双流机制的智能计算模型,降低数字孪生流域特征要素识别的误差累积,本发明公开方法能够敏锐识别出动态特征要素,普遍适用于数字孪生流域数字底板构建的工程应用需求,为水利"三道防线"建设奠定应用技术基础。 The invention discloses a digital twin basin feature...
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Format | Patent |
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Language | Chinese |
Published |
24.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 本发明公开一种基于智能计算的数字孪生流域特征要素识别方法,主要面向具有动态特性的诸如涉水工程运行、灾害演变、流场等一类随时间变化的特征要素,通过智能计算的技术手段,实现特征要素识别,支撑数字孪生流域中数字底板建设。针对动态特征要素时变性、隐藏性、弱小性突出的问题,创新提出了模拟双流机制的智能计算模型,降低数字孪生流域特征要素识别的误差累积,本发明公开方法能够敏锐识别出动态特征要素,普遍适用于数字孪生流域数字底板构建的工程应用需求,为水利"三道防线"建设奠定应用技术基础。
The invention discloses a digital twin basin feature element identification method based on intelligent calculation, which mainly aims at feature elements with dynamic characteristics, such as wading engineering operation, disaster evolution, flow field and the like, which change along with time, and realizes feature element identification through an intelligent calculation technical means. And digital bottom plate construction in the digital twinborn basin is supported. Aiming at the problems of prominent time-varying property, hiding property and weakness of the dynamic feature elements, an intelligent calculation model for simulating a double-flow mechanism is innovatively provided, error accumulation of feature element recognition of the digital twin basin is reduced, and |
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Bibliography: | Application Number: CN202311735799 |