Data Construction Method for the Applications of Workshop Digital Twin System

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 character-istics 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.

Automated summary

This paper proposes a data construction method to provide stable and efficient data support for the applications of Digital Twin System (DTS). The framework is designed based on functional requirements and includes modules for data representation, organization, and management. A case study on cutting tool wear prediction demonstrates the feasibility and effectiveness of the proposed method.