论文标题

使用数字双胞胎方法的自动烹饪

Autonomous Cooking with Digital Twin Methodology

论文作者

Kannapinn, Maximilian, Schäfer, Michael

论文摘要

这项工作介绍了基于数字双胞胎方法的自主烹饪过程的概念。它提出了一种基于物理的完整订单模拟的混合方法,然后是数据驱动的系统识别过程,误差较低。它可以在设备级别上可行的数字双胞胎的时间更快,而无需云或高性能计算。该概念普遍适用于各种物理过程。

This work introduces the concept of an autonomous cooking process based on Digital Twin method- ology. It proposes a hybrid approach of physics-based full order simulations followed by a data-driven system identification process with low errors. It makes faster-than-real-time simulations of Digital Twins feasible on a device level, without the need for cloud or high-performance computing. The concept is universally applicable to various physical processes.

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