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A Study on the Build of LLM and Digital Twin Convergence System for Optimization of Steel Industry Manufacturing Process
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철강산업 제조 공정 최적화를 위한 LLM 및 디지털 트윈 융합 시스템 구축 방법론 연구

논문 기본 정보

Type
Proceeding
Author
Jin Ho Kim (고려대학교) Jeong min Kim (와이즈넛) Hyun woo Moon (고려대학교) Sang ok Choi (고려대학교)
Journal
The Institute of Electronics and Information Engineers 대한전자공학회 학술대회 2024년도 대한전자공학회 하계학술대회 논문집
Published
2024.6
Pages
3,407 - 3,410 (4page)

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A Study on the Build of LLM and Digital Twin Convergence System for Optimization of Steel Industry Manufacturing Process
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Abstract· Keywords

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The development of digital transformation technology is remarkable. Meanwhile, the use of artificial intelligence in the domestic manufacturing industry is remarkably insufficient. In particular, there is a problem of securing data for optimizing the manufacturing process and securing a business model using artificial intelligence. In order to overcome the problems faced by the domestic manufacturing industry, we would like to propose an LLM and digital twin convergence system for optimizing the manufacturing process of the steel industry.

Contents

Abstract
Ⅰ. 서론
Ⅱ. 본론
Ⅲ. 구현
Ⅳ. 결론 및 향후 연구 방향
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