The digital twin of the quality monitoring and control in the series solar cell production line

Pei, Fengque; Tong, Yifei; Yuan, Minghai; Ding, Kun; Chen, Xihui

doi:10.1016/j.jmsy.2021.02.001

Cited by 25 publications

(7 citation statements)

References 15 publications

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“…Aheleroff et al [136] developed a reference architecture for DTs and applied it in industrial cases. DT is of smart planned maintenance, real-time monitoring, remote control, and predictive capabilities [137][138][139]. The results showed a significant relationship between the ability of DTs as a service and large-scale personalization.…”

Section: Dts Modeling In Smart City Constructionmentioning

confidence: 97%

Modeling Methods of 3D Model in Digital Twins

Liu¹,

Li²,

Lv³

2023

Computer Modeling in Engineering &Amp; Sciences

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To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant literatures on DTs and 3D modeling are investigated by means of literature review. The transition process from 3D modeling to DTs modeling is analyzed, as well as the current application of DTs modeling in various industries. The application of 3D DTs modeling in the elds of smart manufacturing, smart ecology, smart transportation, and smart buildings in smart cities is analyzed in detail, and the current limitations are summarized. It is found that the 3D modeling technology in DTs has broad prospects for development and has a huge impact on all walks of life and even human lifestyles. At the same time, the development of DTs modeling relies on the development and support capabilities of mature technologies such as Big Data, Internet of Things, Cloud Computing, Arti cial Intelligence, and game technology. Therefore, although some results have been achieved, there are still limitations. This work aims to provide a good theoretical support for the further development of 3D DTs modeling.

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Section: Dts Modeling In Smart City Constructionmentioning

confidence: 97%

Modeling Methods of 3D Model in Digital Twins

Liu¹,

Li²,

Lv³

2023

Computer Modeling in Engineering &Amp; Sciences

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“…Based on this, Leng et al 10 discussed the basic theory and key technology of workshop information physics systems driven by the digital twin. Many scholars then began to explore digital twin applications on the shop floor, mainly focusing on modeling and simulation of shop floor production lines 11 , 12 , scheduling optimization 13 , 14 , real-time visual monitoring 15 , 16 and production quality control 17 , 18 . Theoretical development has driven the rapid application of digital twin technology in the intelligent production line of the workshop.…”

Section: Related Workmentioning

confidence: 99%

A detection and configuration method for welding completeness in the automotive body-in-white panel based on digital twin

Liu

et al. 2022

Sci Rep

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To address the problems of poor welding completeness and inefficient configuration for defective automotive body-in-white panels, we propose a method for detecting and configuring the welding completeness of automotive body-in-white panels based on digital twin (DT) and mixed reality (MR). The method uses DT to build an MR-oriented DT framework for the detections and configuration of body-in-white panel welding completeness. We propose a method to build a DT knowledge base for panels, a Yolov4-based welding completeness detection method, and a MR-based configuration method for the welding completeness in panels. Our team develop a panel welding completeness detection and configuration system to fully validate the effectiveness of the method.

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“…As it is shown in [26], Feng-Que Pei et al have proposed a high throughput measurement method based on DT and DTS (Digital twin shop floor) models, for process quality control of series solar cell production line (SSCPL), and its performance was analyzed in detail. The self-organized model captures quality-related dynamic behaviors and maps these behaviors into virtual Spaces.…”

Section: Solar Rementioning

confidence: 99%

An Overview of Digital Twin Concept for Key Components of Renewable Energy Systems

2021

Int. J. Robot. Autom. Technol.

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Renewable energy (RE) is green and low-carbon energy, which can not only protect the environment, promote the technological diversification of the energy supply system, accelerate the adjustment of energy structure, but also has important significance for the sustainable development of economy. With the increasing complexity of the problems of renewable energy system asset management and ensuring the operational reliability of electric power equipment, it's necessary to establish remote, online, reliable monitoring and inspection techniques for the state evaluation of electrical equipment during the full life cycle. In order to meet these demands, the digital twin is a very suitable technology. In recent years, there are numerous scientific papers demonstrating DT's capabilities in virtual simulation, condition monitoring (CM), power optimization and fault diagnosis for RE generation systems, transmission and transformation equipment and storage systems. The majority of the research focusing on product design, maintenance of operation, condition monitoring and fault decision-making has provided many valuable contributions to academia and industrial fields. Nevertheless, all this valuable information is scattered over many literatures and it is lack of systematic generalization. In this article, different applications of DT technology in RE system are analyzed, advanced methods and theories are summarized comprehensively, and the development trend of DT technology in renewable energy system in the future is introduced.

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The digital twin of the quality monitoring and control in the series solar cell production line

Cited by 25 publications

References 15 publications

Modeling Methods of 3D Model in Digital Twins

Modeling Methods of 3D Model in Digital Twins

A detection and configuration method for welding completeness in the automotive body-in-white panel based on digital twin

An Overview of Digital Twin Concept for Key Components of Renewable Energy Systems

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