Paper
14 June 2023 Digital-twin-based job scheduling towards ship segment construction
Hang Su, Lei Li, Hong-gen Zhou, Jia-sheng Zhou
Author Affiliations +
Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023); 1270807 (2023) https://doi.org/10.1117/12.2683841
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 2023, Chongqing, China
Abstract
Under the uncertain conditions and time-varying operating environment, dynamic planning and scheduling have become the key problem, which must be solved to improve the program feasibility, production efficiency, and reducing construction costs during the ship intelligent manufacturing process. A scheduling optimization method based on digital twin is proposed. Firstly, the real-time and dynamic requirements of segment construction scheduling are analyzed, and the technical framework of subsection construction scheduling based on digital twin is established; Secondly, a digital twin model for subsection construction of ships is constructed, and the twin data-driven scheduling method which is based on the IOT system and rescheduling method is established for subsection construction. Finally, through the scheduling process optimizing in the shipyard subsection construction, the effectiveness of the proposed method is proved.
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Hang Su, Lei Li, Hong-gen Zhou, and Jia-sheng Zhou "Digital-twin-based job scheduling towards ship segment construction", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 1270807 (14 June 2023); https://doi.org/10.1117/12.2683841
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KEYWORDS
Data modeling

Virtual reality

Data fusion

Instrument modeling

Computer simulations

Associative arrays

Data processing

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