TY - GEN
T1 - Learn to Update Digital Twins with Incremental Scenarios
AU - Lee, Mengjie
AU - Hu, Yujiao
AU - Zhu, Yining
AU - Zhou, Xiaomao
AU - Zhao, Yue
AU - Zhou, Xingshe
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/6/3
Y1 - 2024/6/3
N2 - Digital twins serve as vital tools for monitoring and simulating real-world systems, yet ensuring their accuracy and adaptability in dynamic scenarios remains a challenge. In this paper, we introduce FlexiTwin, a digital twin updating assistance platform seamlessly integrated with AdaSor, a lightweight adaptive data selector. FlexiTwin automates the construction of incremental learning datasets for updating digital twins within specified time constraints, ensuring their adaptation to new scenarios while preserving historical knowledge. Through simulations focusing on UAV energy management, we show that FlexiTwin substantially enhances the adaptability of digital twins to new scenarios while effectively preserving their accuracy in historical scenarios.
AB - Digital twins serve as vital tools for monitoring and simulating real-world systems, yet ensuring their accuracy and adaptability in dynamic scenarios remains a challenge. In this paper, we introduce FlexiTwin, a digital twin updating assistance platform seamlessly integrated with AdaSor, a lightweight adaptive data selector. FlexiTwin automates the construction of incremental learning datasets for updating digital twins within specified time constraints, ensuring their adaptation to new scenarios while preserving historical knowledge. Through simulations focusing on UAV energy management, we show that FlexiTwin substantially enhances the adaptability of digital twins to new scenarios while effectively preserving their accuracy in historical scenarios.
KW - Dataset construction
KW - Digital twin
KW - Incremental learning
KW - Intelligent model updating
KW - Scenario-sensitive updating
UR - http://www.scopus.com/inward/record.url?scp=85197291203&partnerID=8YFLogxK
U2 - 10.1145/3662004.3663551
DO - 10.1145/3662004.3663551
M3 - 会议稿件
AN - SCOPUS:85197291203
T3 - NetAISys 2024 - Proceedings of the 2024 2nd International Workshop on Networked AI Systems
SP - 7
EP - 12
BT - NetAISys 2024 - Proceedings of the 2024 2nd International Workshop on Networked AI Systems
PB - Association for Computing Machinery, Inc
T2 - 2nd International Workshop on Networked AI Systems, NetAISys 2024
Y2 - 3 June 2024 through 7 June 2024
ER -