A consistency evaluation method for digital twin models. (October 2022)

• Record Type: Journal Article
• Authors: Zhang, He; Qi, Qinglin; Tao, Fei
• Is Part Of: Journal of manufacturing systems. Volume 65(2022)
• Page Start: 158
• Page End: 168
• Publication Date: 2022-10
• Subjects: Consistency -- Digital twin -- Model validation -- Model verification -- Shop-floor; Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2022.09.006
• Languages: English
• ISSNs: 0278-6125

Abstract

Abstract: Digital twin has shown its great application values in various fields in the past few years, especially manufacturing. During the process of digital twin implementation, the digital twin model is one of the most important foundations. Because the effectiveness and accuracy of digital twin models could directly affect the quality of related services. Nowadays, some efforts have been made on digital twin modeling methods, e.g. multi-disciplinary modeling method, multi-dimension modeling method, and multi-scale modeling method. Besides, the research on Industrial Internet of Things makes it possible to realize the synchronization between digital twin models and the corresponding physical objects. However, the attention on how to conduct a comprehensive consistency evaluation between the models and corresponding physical objects is not enough. Against the background, this paper proposed a consistency evaluation framework towards digital twin shop-floor (DTS) models. The consistency evaluation method mainly contains two phases, i.e. before and after model assembly and model fusion. Before model assembly and model fusion, the geometry models, physics models, behavior models, and rule models are mainly considered. After model assembly and fusion, the overall performance of assembled models and fusion models is paid more attention. Furthermore, the analytic hierarchy process(AHP) is used to form a comprehensive consistency evaluation result for DTS models. At last, a specific application scenario in complex product AIT (Assembly, Integration and Test) shop-floor is given to explain how to apply the proposed framework and method. Highlights: The framework of digital twin model consistency evaluation is proposed. Before and after model assembly & fusion are main phases for consistency evaluation. Consistency evaluation result is calculated based on proposed evaluation indexes. The proposed framework and methods apply to machines and shop-floors.