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An Expandable and Generalized Method for Equipment Information Reflection in Digital Twin Workshop Systems
Robotics and Computer-Integrated Manufacturing ( IF 10.4 ) Pub Date : 2024-03-27 , DOI: 10.1016/j.rcim.2024.102763
Yueze Zhang , Dongjie Zhang , Jun Yan , Zhifeng Liu , Tongtong Jin

A production workshop is equipped with diverse equipment and machinery, and manufacturing data generated by different equipment show certain differences. Therefore, developing a method with an information presentation capability for a digital twin workshop system (DTWS) can be challenging due to the numerous information sources and types. The level of detail provided for a DTWS is directly related to the management comprehension of the production status of a physical workshop. Thus, arranging and presenting different data effectively represents a significant challenge. To address this challenge, this study proposes an equipment information self-reflection method with expandability for DTWSs. First, a generic equipment information model with an expandability is developed. This model encompasses all relevant data types in a workshop. The analysis of these data is conducted from two perspectives: workshop equipment categorization and equipment internal composition. The analysis results are used for the generation of extensible styles for property elements and function components. For the DTWSs, these two perspectives offer a standardized specification for equipment information presentation. In addition, a self-reflection method is introduced to address the demand for generating diverse information types ranging from equipment-based to extensible types. The system framework and operational flow of this method are explained in detail. To verify the proposed method, this paper conducts a practical case study using the DTWorks software development kit to simulate a real workshop. The proposed self-reflection method is implemented into the DTWorks. The disparities in equipment information types are analyzed for both pre- and post-implementation of the proposed method. The obtained results demonstrate the efficiency and advantages of the proposed self-reflection method. Finally, the results show that the proposed method exhibits advantageous performance regarding intricate business contexts.

中文翻译:

数字孪生车间系统中设备信息反映的可扩展通用方法

生产车间配备了多种多样的设备和机械,不同设备产生的制造数据存在一定的差异。因此,由于信息源和类型众多,为数字孪生车间系统(DTWS)开发具有信息呈现能力的方法可能具有挑战性。 DTWS提供的详细程度直接关系到管理层对实体车间生产状态的理解。因此,有效地排列和呈现不同的数据是一项重大挑战。为了应对这一挑战,本研究提出了一种具有可扩展性的DTWS设备信息自反射方法。首先,开发了具有可扩展性的通用设备信息模型。该模型包含研讨会中的所有相关数据类型。这些数据的分析是从车间设备分类和设备内部构成两个角度进行的。分析结果用于生成属性元素和功能组件的可扩展样式。对于DTWS来说,这两个视角为设备信息呈现提供了标准化规范。此外,还引入了自反射方法来满足生成从基于设备到可扩展类型的多种信息类型的需求。详细阐述了该方法的系统框架和操作流程。为了验证所提出的方法,本文使用DTWorks软件开发套件模拟真实车间进行了实际案例研究。所提出的自反射方法已在 DTWorks 中实现。对所提出的方法实施前后的设备信息类型的差异进行了分析。获得的结果证明了所提出的自反射方法的效率和优势。最后,结果表明,所提出的方法在复杂的业务环境中表现出优越的性能。
更新日期:2024-03-27
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