Current Result Document : 2 / 2
| 한글제목(Korean Title) |
섬유스마트공장 염색공정 운용화를 위한 데이터집약 디지털 트윈 시스템 |
| 영문제목(English Title) |
A Data-Intensive Digital Twin System for Operationalizing Yarn-Dyeing Processes in Textile Smart Factories |
| 저자(Author) |
응웬탄하이
박소향
팜딘람
오동근
김경숙
전인규
김광훈
Thanh-hai Nguyen
So-Hyang Bak
Dinh-lam Pham
Dong-Keun Oh
Kyoung-Sook Kim
In-Kyu Chun
Kwanghoon Pio Kim
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| 원문수록처(Citation) |
VOL 22 NO. 02 PP. 0129 ~ 0130 (2021. 10) |
한글내용
(Korean Abstract) |
This paper proposes an algorithmic and data-intensive approach to build a smart factory digital twin system for providing data–centric visual operationalization of the yarn-dyeing processes in textile smart factories. It also implements the proposed approach as a name of data-intensive digital twin system and applies the implemented system to the yarn-dyeing processes of a textile smart factory, which is equipped with three pieces of dyeing machinery with two types of smart sensors collecting sensitive data of dyeing and drying operations, respectively. Especially, we would strongly emphasize that the goal of the proposed approach is to eventually provide a systematic means for discovering and predicting the yarn-dyeing quality decision knowledge from the sensitive data-sets collected from the smart sensors of the machinery, and through the implemented data-intensive digital twin system we can provide an in-depth overview with visualizing the predictive quality status as well as the data collection status of the yarn-dyeing processes in the textile smart factory. |
영문내용
(English Abstract) |
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| 키워드(Keyword) |
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