Research on the three-dimensional visual management and control for marine intelligent mould bed based on digital twin

ABSTRACT

Mould bed is crucial for supporting the ship subsection and controlling its deformation during shipbuilding. However, its visualisation and control process intelligence are often inadequate, leading to reduced accuracy and efficiency in ship subsection construction. Aiming at the problem, a three-dimensional (3D) visual monitoring method for the marine intelligent mould bed is proposed based on digital twin, and the overall framework of the management and control system is designed. Meanwhile, a fuzzy PID control principle optimised by the genetic algorithm is proposed to better control the deformation of the ship subsection. On this basis, the verification of the developed system is carried out based on the physical intelligent mould bed, and the 3D visual management and control of the marine intelligent mould bed are realised. It provides a foundation for improving the accuracy and efficiency of ship subsection construction.

KEYWORDS:

• Digital twin
• intelligent mould bed
• management and control system
• visual monitoring
• adaptive control

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Defense Basic Scientific Research Program of China [grant number: JCKY2018414C002] and the Natural Science Foundation of the Higher Education Institution of Jiangsu Province [grant number: 21KJB570008].

Notes on contributors

Honggen Zhou

Honggen Zhou was born in Jiangsu China in 1975. He received the B.S. degree in mechanical manufacturing and automation from Harbin Engineering University, China, in 1998 and M.S. degrees in mechanical manufacturing and automation from Jiangsu University of Science and Technology, China, in 2005, and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2012. He has been a professor with the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests include digital manufacturing and digital twin.

Zhanghui Yan

Zhanghui Yan was born in jiangsu, China, in 1998. He received the B.S. degree in Jiangsu Normal University, China, in 2020. He is a postgraduate in the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. His research interests is digital design and manufacturing.

Xuwen Jing

Xuwen Jing received the B.S. degree in mechanical manufacturing and automation from Jiangsu University, China, in 1985 and M.S. degrees in mechanical manufacturing and automation from Harbin Institute of Technology, China, in 1991,and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2005. His research interests include concurrent engineering; computer-integrated manufacturing system; virtual manufacturing and network manufacturing.

Yu Chen

Yu Chen is a lecturer of the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. He received his Ph.D. degree in Nanjing University of Science and Technology, China, in 2019. His research interests include numerical simulation, vibration and control, and dynamics analysis.

Jinfeng Liu

Jinfeng Liu received the M.S. degrees in mechanical manufacturing and automation from Lanzhou University of Technology, China, in 2011, and Ph.D. degree in mechanical manufacturing and automation from Southeast University, Nanjing, China, in 2016. His research interests include digital manufacturing, process planning and digital twin.

Xiaofeng Zou

Xiaofeng Zou is a senior engineer of CSSC Huangpu Wenchong Shipbuilding Company Limited, Guangzhou, China. He is mainly responsible for the design and technology of container ships. His research interests are ship structure design and construction quality management.

Chao Kang

Chao Kang is a lecturer of the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. He received his Ph.D. degree in Mechanical and Electronic Engineering from Northwestern Polytechnic University, China, in 2018. His research interests include intelligent manufacturing technology, and composite fabricating technology.

Bingqiang Li

Bingqiang Li is a lecturer of the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. He received his Ph.D. degree in Mechanical Engineering from Seoul National University. His research interests include nanofluids, modern heat transfer and space propulsion.

Yang Xie

Yang Xie is a lecturer of the School of Mechanical Engineering, Jiangsu University of Science and Technology, China. He received his Ph.D. degree in Mechanical Design and Theory from Huazhong University of Science and Technology, China, in 2021. His research interests are tool wear identification and monitoring.

Dejun Yan

Dejun Yan is a senior engineer of CSSC Huangpu Wenchong Shipbuilding Company Limited, Guangzhou, China. He received his Ph.D. degree in Harbin Institute of Technology, China, in 2011. His research interest is shipbuilding technology.