TY - GEN
T1 - Cognitive Thread Supports System of Systems for Complex System Development
AU - Wu, Shouxuan
AU - Lu, Jinzhi
AU - Hu, Zhenchao
AU - Yang, Pengfei
AU - Wang, Guoxin
AU - Kiritsis, Dimitris
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/14
Y1 - 2021/6/14
N2 - Model-based Systems Engineering (MBSE) has been widely used in the development of complex systems. The system architectures, organizations, research and development processes using MBSE to design complex systems can be seen as a System of Systems (SoS), which has high complexity and hard to manage. The concept of digital thread is proposed to integrate all the models and data in the SoS. However, lack of cognition ability makes it hard to connect the models and data with human, processes and things in the SoS, which reduces the efficiency of complex system development. In this paper, a new concept named Cognitive Thread is first proposed as digital thread with augmented semantic capabilities for identifying the information of the SoS. Then a cognitive thread construction approach based on Open Services for Lifecycle Collaboration (OSLC) specification and knowledge graphs is proposed to support decision-making and management in the SoS. Finally, the feasibility of the proposed approach is verified through a case study of the advanced driver-assistance system development.
AB - Model-based Systems Engineering (MBSE) has been widely used in the development of complex systems. The system architectures, organizations, research and development processes using MBSE to design complex systems can be seen as a System of Systems (SoS), which has high complexity and hard to manage. The concept of digital thread is proposed to integrate all the models and data in the SoS. However, lack of cognition ability makes it hard to connect the models and data with human, processes and things in the SoS, which reduces the efficiency of complex system development. In this paper, a new concept named Cognitive Thread is first proposed as digital thread with augmented semantic capabilities for identifying the information of the SoS. Then a cognitive thread construction approach based on Open Services for Lifecycle Collaboration (OSLC) specification and knowledge graphs is proposed to support decision-making and management in the SoS. Finally, the feasibility of the proposed approach is verified through a case study of the advanced driver-assistance system development.
KW - Cognitive Thread
KW - Digital Thread
KW - Model-based Systems Engineering
KW - OSLC specification
KW - System of Systems
UR - http://www.scopus.com/inward/record.url?scp=85112452973&partnerID=8YFLogxK
U2 - 10.1109/SOSE52739.2021.9497473
DO - 10.1109/SOSE52739.2021.9497473
M3 - Conference contribution
AN - SCOPUS:85112452973
T3 - 2021 16th International System of Systems Engineering Conference, SoSE 2021
SP - 82
EP - 87
BT - 2021 16th International System of Systems Engineering Conference, SoSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International System of Systems Engineering Conference, SoSE 2021
Y2 - 14 June 2021 through 18 June 2021
ER -
