Knowledge-based Digital Twin Model Evolution Management Method for Mechanical Products

Zheng, Menglei; Lan, Tian

doi:10.1109/dtpi52967.2021.9540181

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…According to [24], the essence of the digital twin is to realize the orderly ow and evolutionary innovation of knowledge, and the digital twin is the knowledge extractor and carrier. From the perspective of DTM evolution, the researchers proposed a knowledge-based version management method for mechanical product models, which realizes the traceability of DTMs [25]. In [26], the source of knowledge and rules, organizational mode, data analysis, and the relationship between knowledge management in the DTW were described.…”

Section: Related Workmentioning

confidence: 99%

Knowledge-graph-based multi-domain model integration method for digital-twin workshops

Wang

Ren

et al. 2023

Int J Adv Manuf Technol

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The digital twin workshop is a new workshop operation paradigm that enables precise decision-making by fusing virtual and physical space. As a complex manufacturing system, the digital twin model of the workshop must integrate models from different domains in order to provide personalized services. The interoperability of multi-domain models and the dynamic update of parameters become obstacles. In this paper, a knowledge graph (KG)-based multi-domain model integration method for digital twin workshops is proposed. The multi-domain model integration architecture based on KG is consisted of model element, model ontology, model data, semantic integration and network connection. Then, the KG of multi-domain model for design, manufacturing and simulation is constructed through ontology modeling and knowledge extraction. On this basis, multi-domain model integration is realized through semantic inference and knowledge query. The model parameters are updated through le exchange during the dynamic simulation. Finally, multiple scenarios in the subassembly workshop for hull construction are used to verify the e cacy of the proposed method. During the assembly and welding of hull parts, the integration of the product model, equipment model, and simulation model is realized, which assists in meeting the service requirements of multiple business scenarios.

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Section: Related Workmentioning

confidence: 99%

Knowledge-graph-based multi-domain model integration method for digital-twin workshops

Wang

Ren

et al. 2023

Int J Adv Manuf Technol

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show abstract

“…This allows the model to change and evolve along with its physical counterpart. This is an especially useful quality for studying dynamic systems, such as the degradation of machine components [ 15 , 16 ] or the treatment progression of medical patients [ 17 ]. This model can then be used in tandem with AI and machine learning algorithms to perform simulations with a great deal of precision that could be too costly or dangerous to perform on the physical model [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

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Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.

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A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases

Cui,

Yang,

Yue

et al. 2023

Journal of Manufacturing Systems

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Knowledge-based Digital Twin Model Evolution Management Method for Mechanical Products

Cited by 8 publications

References 4 publications

Knowledge-graph-based multi-domain model integration method for digital-twin workshops

Knowledge-graph-based multi-domain model integration method for digital-twin workshops

Digital Twins for Healthcare Using Wearables

A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases

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