Academic Journal

A Three-Dimensional Visualization System for Tea Production Lines Based on Digital Twins.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Three-Dimensional Visualization System for Tea Production Lines Based on Digital Twins.
Συγγραφείς: Liu, Honghao, Ma, Guoliang, Zhang, Kaixing
Πηγή: Inventions (2411-5134); Feb2026, Vol. 11 Issue 1, p2, 14p
Θεματικοί όροι: Digital twin, Three-dimensional imaging, Electronic data processing, Computer simulation, Assembly line methods, Tea trade, Manufacturing process automation, Lighting design
Περίληψη: Current traditional tea processing production lines suffer from issues such as fragmented data and low levels of intelligence. This paper proposes a three-dimensional visualization system for tea processing production lines based on digital twins. Firstly, the system's overall framework and functional architecture were established. Secondly, multi-source heterogeneous data from the production line was collected and managed through a driver architecture, enabling the construction and mapping of the digital twin information model. Thirdly, referencing the actual environment of a green tea processing line, scene-specific lighting models and rendering techniques were employed to recreate a virtual green tea processing environment. During this process, lighting optimization enhanced the realism of the system's scenes. Finally, employing data-driven methodologies, the system dynamically simulates the operational states of various production line equipment and the morphological changes in tea leaves. This achieves comprehensive three-dimensional visualization and all-round monitoring of the tea processing production line. Experimental validation confirms the feasibility of this visualized 3D system, injecting fresh impetus into advancing intelligent tea production. [ABSTRACT FROM AUTHOR]
Copyright of Inventions (2411-5134) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: A Three-Dimensional Visualization System for Tea Production Lines Based on Digital Twins.
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  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Honghao%22">Liu, Honghao</searchLink><br /><searchLink fieldCode="AR" term="%22Ma%2C+Guoliang%22">Ma, Guoliang</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Kaixing%22">Zhang, Kaixing</searchLink>
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  Data: Inventions (2411-5134); Feb2026, Vol. 11 Issue 1, p2, 14p
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  Data: <searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Assembly+line+methods%22">Assembly line methods</searchLink><br /><searchLink fieldCode="DE" term="%22Tea+trade%22">Tea trade</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+process+automation%22">Manufacturing process automation</searchLink><br /><searchLink fieldCode="DE" term="%22Lighting+design%22">Lighting design</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Current traditional tea processing production lines suffer from issues such as fragmented data and low levels of intelligence. This paper proposes a three-dimensional visualization system for tea processing production lines based on digital twins. Firstly, the system's overall framework and functional architecture were established. Secondly, multi-source heterogeneous data from the production line was collected and managed through a driver architecture, enabling the construction and mapping of the digital twin information model. Thirdly, referencing the actual environment of a green tea processing line, scene-specific lighting models and rendering techniques were employed to recreate a virtual green tea processing environment. During this process, lighting optimization enhanced the realism of the system's scenes. Finally, employing data-driven methodologies, the system dynamically simulates the operational states of various production line equipment and the morphological changes in tea leaves. This achieves comprehensive three-dimensional visualization and all-round monitoring of the tea processing production line. Experimental validation confirms the feasibility of this visualized 3D system, injecting fresh impetus into advancing intelligent tea production. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Inventions (2411-5134) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/inventions11010002
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      – Code: eng
        Text: English
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        PageCount: 14
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        Type: general
      – SubjectFull: Three-dimensional imaging
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      – SubjectFull: Electronic data processing
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      – SubjectFull: Computer simulation
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      – SubjectFull: Assembly line methods
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      – SubjectFull: Tea trade
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      – SubjectFull: Manufacturing process automation
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      – SubjectFull: Lighting design
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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