This preprint is under consideration at AI Perspectives. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Case Report
Carlos Alberto Tosta Machado
SENAI CIMATEC Technology College: Faculdade de Tecnologia SENAI CIMATEC
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6773-5314
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Introduction: Digital twins are becoming a powerful tool to enhance industrial processes worldwide. This paper proposes a model for the creation of industrial processes’ digital twins using a steam distillation process for essential oil extraction as a case study.
Case Description: A grey box modeling is suggested combining a machine learning based model with physical modeling to improve the process. Real time simulation and a hybrid control strategy are used, linked to reinforcement learning and proportional integral derivative control, focusing on the yield increase and optimization. Computer Vision and Artificial Intelligence enhancements were suggested.
Discussion and Evaluation: Digital twins, in combination with Artificial Intelligence can be of great help to support companies with the decision-making challenges. Furthermore, some benefits that Artificial Intelligence can bring to the process were enlightened. Computer Vision approaches were also discussed.
Conclusions: A creation method is elaborated to support other applications of digital twins in industrial processes in the future. In order to apply it to different processes, generalization capabilities must be proved.
Keywords
digital twin, creation method, essential oil, grey box modeling, real time simulation.
Figure 1
Figure 2
This preprint is available for download as a PDF.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 17 Mar, 2021
No community comments so far
Review #1 received
Received 23 Mar, 2021
Review #2 received
Received 22 Mar, 2021
Reviewer #2 agreed
On 11 Mar, 2021
Review #? received
Received 11 Mar, 2021
Reviewers invited
Invitations sent on 11 Mar, 2021
Reviewer #1 agreed
On 11 Mar, 2021
Editor assigned
On 07 Mar, 2021
Submission checks complete
On 07 Mar, 2021
Editor invited
On 07 Mar, 2021
First submitted
On 04 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Electrical Engineering
Learn more about our company.
This preprint is under consideration at AI Perspectives. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Case Report
Carlos Alberto Tosta Machado
SENAI CIMATEC Technology College: Faculdade de Tecnologia SENAI CIMATEC
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6773-5314
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 17 Mar, 2021
No community comments so far
Review #1 received
Received 23 Mar, 2021
Review #2 received
Received 22 Mar, 2021
Reviewer #2 agreed
On 11 Mar, 2021
Review #? received
Received 11 Mar, 2021
Reviewers invited
Invitations sent on 11 Mar, 2021
Reviewer #1 agreed
On 11 Mar, 2021
Editor assigned
On 07 Mar, 2021
Submission checks complete
On 07 Mar, 2021
Editor invited
On 07 Mar, 2021
First submitted
On 04 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Electrical Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Introduction: Digital twins are becoming a powerful tool to enhance industrial processes worldwide. This paper proposes a model for the creation of industrial processes’ digital twins using a steam distillation process for essential oil extraction as a case study.
Case Description: A grey box modeling is suggested combining a machine learning based model with physical modeling to improve the process. Real time simulation and a hybrid control strategy are used, linked to reinforcement learning and proportional integral derivative control, focusing on the yield increase and optimization. Computer Vision and Artificial Intelligence enhancements were suggested.
Discussion and Evaluation: Digital twins, in combination with Artificial Intelligence can be of great help to support companies with the decision-making challenges. Furthermore, some benefits that Artificial Intelligence can bring to the process were enlightened. Computer Vision approaches were also discussed.
Conclusions: A creation method is elaborated to support other applications of digital twins in industrial processes in the future. In order to apply it to different processes, generalization capabilities must be proved.
Figure 1
Figure 2
This preprint is available for download as a PDF.
Loading...