TY - JOUR
T1 - Blockchain-based fine-grained digital twin sharing framework for social manufacturing
AU - Li, Ming
AU - Li, Mingxing
AU - Harish, Arjun Rachana
AU - Huang, George Q.
N1 - Funding information:
This research is supported by the National Natural Science Foundation of China (No. 52005218 ), the RGC Collaborative Research Fund (No.C7076-22G), the RGC Theme-based Research Scheme (No. T32-707/22-N), and the Fundamental Research Funds for the Central Universities (No. 21623345).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/10
Y1 - 2023/10
N2 - The lack of digitalization basis of social manufacturing resources has brought barriers to perform efficient production coordination in social manufacturing network. Digital twin can be a promising carrier for bridging this gap. However, the complexity of digital twin makes small and medium enterprises, and individual resource owners in social manufacturing hard to apply this technology. Benefiting from the convenience of sharing in social communities, this paper presents a blockchain-based fine-grained digital twin sharing framework to accelerate the popularization and iteration of digital twins in social manufacturing. A hybrid design method, called model–view–controller domain-driven design (MVC-DDD), is proposed to decompose and decouple complicated digital twin instances into small granules from software architecture perspective. Then, blockchain is introduced as the underlying infrastructure to innovate the specific sharing mechanisms using zero-knowledge proof for decentralized registering, authorizing, and extracting digital twin granules. Moreover, the sharing incentive mechanism is also explored to ensure the feasibility and sustainability for the whole sharing behaviors. Finally, different types of 3D printers are selected for implementing the referential digital twin architecture for generating the sharable granules. A series of experiments are conducted to show that our sharing mechanism has a good performance in terms of throughput, latency and network bandwidth. Additionally, the incentive mechanism is also analyzed generate the management implications to facilitate the digital twin providers with different scales for sharing.
AB - The lack of digitalization basis of social manufacturing resources has brought barriers to perform efficient production coordination in social manufacturing network. Digital twin can be a promising carrier for bridging this gap. However, the complexity of digital twin makes small and medium enterprises, and individual resource owners in social manufacturing hard to apply this technology. Benefiting from the convenience of sharing in social communities, this paper presents a blockchain-based fine-grained digital twin sharing framework to accelerate the popularization and iteration of digital twins in social manufacturing. A hybrid design method, called model–view–controller domain-driven design (MVC-DDD), is proposed to decompose and decouple complicated digital twin instances into small granules from software architecture perspective. Then, blockchain is introduced as the underlying infrastructure to innovate the specific sharing mechanisms using zero-knowledge proof for decentralized registering, authorizing, and extracting digital twin granules. Moreover, the sharing incentive mechanism is also explored to ensure the feasibility and sustainability for the whole sharing behaviors. Finally, different types of 3D printers are selected for implementing the referential digital twin architecture for generating the sharable granules. A series of experiments are conducted to show that our sharing mechanism has a good performance in terms of throughput, latency and network bandwidth. Additionally, the incentive mechanism is also analyzed generate the management implications to facilitate the digital twin providers with different scales for sharing.
KW - Blockchain technology
KW - Digital twin
KW - Sharing incentive mechanism
KW - Social manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85175085959&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2023.102225
DO - 10.1016/j.aei.2023.102225
M3 - Journal article
AN - SCOPUS:85175085959
SN - 1474-0346
VL - 58
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 102225
ER -