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About Journal
Founded in 1979, Monthly
Governed by:
China State Shipbuilding Corporation Limited (CSSC)
Sponsored by:
Shanghai Marine Equipment Research Institute (SMERI), Chinese Society of Naval Architects and Marine Engineers (CSNAME)
Published by:
Editorial Office of Ship Engineering
Email: cbgc@cssmc.cn
ISSN 1000-6982
CN 31-1281/U
Issue 07,2025
Analysis of Big Data Governance Framework for New Energy Ships
ZHOU Kaili;TIAN Ye;YIN Chunrong;[Purpose] To promote the intelligent system construction of new energy ships, [Method] a big data governance framework for new energy ships is constructed, and its application and optimization in the intelligent system of new energy ships are explored. By analyzing the construction requirements of the intelligent system for new energy ships, a comprehensive framework based on the Internet of things, big data analysis, and data governance is proposed, including key modules such as data asset management, data quality management, data security management, and data application services. The implementation path of the system is also provided. [Result] The research shows that the proposed big data governance framework can effectively improve the operational efficiency and intelligence level of new energy ships, and help promote the green development of the shipbuilding industry. [Conclusion] The research results can provide some references for the construction of a big data governance framework for new energy ships.
Welding Path Planning and Off-Line Programming of Ship Assembly Complex Curve Based on Roboguide
WANG Chen;LIANG Caiping;NIU Wenxu;ZHANG Yansong;[Purpose] To solve the problem of collision between assembled large curvature panels in ships and robots during multi robot collaborative welding, and to improve the accuracy of welding gun positioning, [Method] based on the Roboguide platform, a digital welding production line for assembly is built, and the welding process is simulated offline; The path trajectory of the robotic arm is constructed based on the third-order polynomial trajectory method and the fifth order polynomial trajectory method, and the two are simulated and compared using MATLAB. [Result] It is found that there is a sudden change in acceleration during the welding process based on the third-order polynomial trajectory method, while there is no sudden change in acceleration during the welding process based on the fifth order polynomial trajectory method. The fifth degree polynomial trajectory method can effectively improve the stability and accuracy of welding. [Conclusion] The research results can provide some references for simulating ocean current generators under non-uniform inflow.
Research Status and Development Trends of Shipbuilding Robots
HU Mingwei;SUN Hongwei;YAN Wenmin;SU Xiang;CHEN Zhen;HUA Lei;Jiangsu Automation Research Institute;[Purpose] To promote the research and application of shipbuilding robots in China, [Method] the current situation and characteristics of ship assembly manufacturing are elaborated, and the relevant policy measures for the research and application of shipbuilding robots in various countries around the world are analyzed. On this basis, the research and application of shipbuilding robots at home and abroad are analyzed, and the characteristics of typical shipbuilding robots are summarized. The research direction and development trend of shipbuilding robots around the manufacturing mode of ship intermediate products with multiple varieties, small batches, and variable configurations is looked forward to. [Result] Research shows that the deep integration of shipbuilding robots with new generation information technologies such as artificial intelligence can achieve fundamental changes in the shipbuilding industry model and enterprise form. [Conclusion] The research results can provide some references for the development and application of shipbuilding robots in China.
Coarse Global Registration Method for Hull Block Point Clouds Using 2D Line Features
WANG Rui;ZHAO Dong;HE Shiquan;YANG Guiqiang;MA Qinghua;CHEN Guowang;[Purpose] In order to improve the accuracy and computational efficiency of ship segmentation point cloud registration, [Method] a rough registration method for ship segmentation point cloud based on two-dimensional line features is proposed to reduce the deviation between the solid segmentation point cloud and the theoretical model point cloud, preparing for subsequent fine registration. This method involves extracting two-dimensional line features from the projection of the point cloud data onto the xOy plane, and performing a two-dimensional transformation on the correspondence between the line features. The z-axis displacement is then calculated to complete the three-dimensional transformation, thereby achieving coarse registration between the solid segmented point cloud and the theoretical model point cloud. [Result] The results indicate that this method has high registration accuracy and computational efficiency. [Conclusion] The research results can provide some references for rough registration of ship segmentation point clouds.
Motion Planning of Multi-Robot Collaborative Pipeline Welding
DENG Xianhui;WANG Yanjun;LI Yonggang;CHEN Genliang;4th Representative Office of the Naval Equipment Department in Shanghai;[Purpose] In order to improve the efficiency and accuracy of welding circular arc seams in prefabricated ship pipelines, [Method] a precision motion planning method based on a three robot collaborative system is proposed. The physical limits of robot joints are used as strict planning constraints, and an efficient genetic algorithm is used for optimization search to solve the optimal robot motion path. This method deeply integrates the geometric characteristics of the weld seam with the welding gun operation model, fully utilizing the redundant degrees of freedom and collaborative operation capabilities of the three robot system. By constructing a multi-objective optimization function that integrates the flexibility of robot operation, joint space position, and welding process requirements, it improves the path smoothness, obstacle avoidance ability, and energy efficiency during the welding process. [Result] The results indicate that this method can provide efficient and fast motion planning for multi-robot collaborative welding of various irregular pipelines. [Conclusion] The research results can provide some references for the automation and intelligence of prefabricated pipeline welding in ships.
