漂浮式海上风机的独立式、描述性与预测性数字孪生的演示
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine
AI总结：
本文解释了风能背景下的数字孪生概念及能力等级量表，演示了漂浮式海上风机的独立式、描述性和预测性数字孪生，并探讨了其在海洋工程中的广泛应用前景。
摘要：
数字孪生为偏远海上资产的规划、运营和维护带来了多项益处。在这项工作中，我们解释了风能背景下的数字孪生概念和能力等级量表。此外，我们演示了一台运营中的漂浮式海上风机的独立式数字孪生、描述性数字孪生和预测性数字孪生。独立式数字孪生由风机及其运行环境的虚拟表示组成。虽然在这一等级下，数字孪生不会随物理风机而演化，但它可以在规划、设计和施工阶段使用。在下一个等级，描述性数字孪生建立在独立式数字孪生的基础之上，通过利用来自风机的真实数据对后者进行增强。所有数据都在虚拟现实中进行可视化，以支持明智的决策。除了用于数据捆绑和可视化之外，描述性数字孪生还构成了诊断、预测、规定性和自主工具的基础。预测性数字孪生是通过使用天气预报、神经网络和迁移学习创建的。最后，在海洋工程更广泛的背景下讨论了数字孪生技术。
英文摘要：
Digital Twins bring several benefits for planning, operation, and maintenance of remote offshore assets. In this work, we explain the digital twin concept and the capability level scale in the context of wind energy. Furthermore, we demonstrate a standalone digital twin, a descriptive digital twin, and a prescriptive digital twin of an operational floating offshore wind turbine. The standalone digital twin consists of the virtual representation of the wind turbine and its operating environment. While at this level the digital twin does not evolve with the physical turbine, it can be used during the planning-, design-, and construction phases. At the next level, the descriptive digital twin is built upon the standalone digital twin by enhancing the latter with real data from the turbine. All the data is visualized in virtual reality for informed decision-making. Besides being used for data bundling and visualization, the descriptive digital twin forms the basis for diagnostic, predictive, prescriptive, and autonomous tools. A predictive digital twin is created through the use of weather forecasts, neural networks, and transfer learning. Finally, digital twin technology is discussed in a much wider context of ocean engineering.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
