Abstract Data is the key to the operation of manufacturing workshop Digital Twin System (DTS) and also supports the top-level applications of DTS. However, manufacturing data has the characteristics of coupling and large-amount, which lead to inefficient and inaccurate operations of applications. In order to provide stable and efficient data support for the applications of DTS, this paper proposed a data construction method. The framework of data construction is designed based on the functional requirements, which are analyzed according to the characteristics of manufacturing data. Then, module implementation of the framework, including data representation module, data organization module and data management module, is introduced in detail. Finally, application of cutting tool wear prediction is taken as a case study to show the feasibility and effectiveness of the proposed data construction method.

中文翻译：

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车间数字孪生系统应用的数据构建方法

摘要 数据是制造车间数字孪生系统（DTS）运行的关键，也是DTS顶层应用的支撑。然而，制造数据具有耦合性和海量的特点，导致应用程序运行效率低下、不准确。为了为DTS的应用提供稳定高效的数据支持，本文提出了一种数据构建方法。数据构建框架是根据功能需求设计的，根据制造数据的特点进行分析。然后详细介绍了该框架的模块实现，包括数据表示模块、数据组织模块和数据管理模块。最后，