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ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models

Authors:

Rui TanAuthors Info & Claims

BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Pages 208 - 211

https://doi.org/10.1145/3600100.3623719

Published: 15 November 2023 Publication History

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Abstract

Digital twin has been applied in various industrial fields to represent physical systems. However, the design of high-fidelity digital scenes is challenging in that it often requires intensive manual processes and domain expertise to edit the 3D models or description documents. To reduce human efforts, this paper proposes ChatTwin, a conversational system that leverages the power of GPT-4 to automate the generation of scene description documents for digital twins. ChatTwin assists scene generation by i) segmenting user-input prompts, ii) generating scenes with segmented prompts, and iii) optimizing the generated content. Specifically, the Segment-and-Generate (SG) workflow decomposes the long-text generation into several subtasks and reduces the complexity of the original task. The evaluation through our data center digital twin system shows that ChatTwin outperforms other baselines in terms of generation accuracy and efficiency.

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Cited By

Subahi A(2024)Advancing Sustainable Cyber-Physical System Development with a Digital Twins and Language Engineering Approach: Smart Greenhouse ApplicationsTechnologies10.3390/technologies1209014712:9(147)Online publication date: 2-Sep-2024
https://doi.org/10.3390/technologies12090147
Villa LCarneros-Prado DDobrescu CSánchez-Miguel ACubero GHervás R(2024)Comparative Analysis of Generic and Fine-Tuned Large Language Models for Conversational Agent SystemsRobotics10.3390/robotics1305006813:5(68)Online publication date: 29-Apr-2024
https://doi.org/10.3390/robotics13050068
Reja VSindhu Pradeep MVarghese K(2024)Digital Twins for Construction Project Management (DT-CPM): Applications and Future Research DirectionsJournal of The Institution of Engineers (India): Series A10.1007/s40030-024-00810-8105:3(793-807)Online publication date: 3-Jun-2024
https://doi.org/10.1007/s40030-024-00810-8
Show More Cited By

Index Terms

ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models
1. Computing methodologies
  1. Artificial intelligence
  2. Modeling and simulation
    1. Simulation support systems

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Information

Published In

cover image ACM Other conferences

BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 2023

567 pages

ISBN:9798400702303

DOI:10.1145/3600100

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 November 2023

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Short-paper
Research
Refereed limited

Funding Sources

Education Department Foundation of Jiangxi Province
Energy Research Testbed and Industry Partnership Funding Initiative
Jiangxi Natural Science Foundation
Digitalland Innovation and Technology Pte Ltd
National Natural Science Foundation of China
Central Gap Fund

Conference

BuildSys '23

BuildSys '23: The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 15 - 16, 2023

Istanbul, Turkey

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

Subahi A(2024)Advancing Sustainable Cyber-Physical System Development with a Digital Twins and Language Engineering Approach: Smart Greenhouse ApplicationsTechnologies10.3390/technologies1209014712:9(147)Online publication date: 2-Sep-2024
https://doi.org/10.3390/technologies12090147
Villa LCarneros-Prado DDobrescu CSánchez-Miguel ACubero GHervás R(2024)Comparative Analysis of Generic and Fine-Tuned Large Language Models for Conversational Agent SystemsRobotics10.3390/robotics1305006813:5(68)Online publication date: 29-Apr-2024
https://doi.org/10.3390/robotics13050068
Reja VSindhu Pradeep MVarghese K(2024)Digital Twins for Construction Project Management (DT-CPM): Applications and Future Research DirectionsJournal of The Institution of Engineers (India): Series A10.1007/s40030-024-00810-8105:3(793-807)Online publication date: 3-Jun-2024
https://doi.org/10.1007/s40030-024-00810-8
Xu QZhou GZhang CChang FCao YZhao D(2024)Generative AI and DT integrated intelligent process planning: a conceptual frameworkThe International Journal of Advanced Manufacturing Technology10.1007/s00170-024-13861-9133:5-6(2461-2485)Online publication date: 8-Jun-2024
https://doi.org/10.1007/s00170-024-13861-9
Casciani ABernardi MCimitile MMarrella A(2024)Conversational Systems for AI-Augmented Business Process ManagementResearch Challenges in Information Science10.1007/978-3-031-59465-6_12(183-200)Online publication date: 2-May-2024
https://doi.org/10.1007/978-3-031-59465-6_12

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