J Shanghai Jiaotong Univ Sci ›› 2024, Vol. 29 ›› Issue (5): 759-765.doi: 10.1007/s12204-022-2544-0

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基于知识的船舶曲面分段建造调度及应用

蒋祖华1，周宏明2，陶宁蓉3，李柏鹤1   

  1. （1. 上海交通大学 机械与动力工程学院，上海200240；2. 温州大学 机电工程学院，浙江温州 325035；3. 上海海洋大学 海洋科学学院, 上海 201306）
  • 接受日期:2022-06-17 出版日期:2024-09-28 发布日期:2024-09-28

Knowledge-Based Curved Block Construction Scheduling and Application in Shipbuilding

JIANG Zuhua1∗(蒋祖华)，ZHOU Hongming2(周宏明),TAO Ningrong3(陶宁蓉), LI Baihe1(李柏鹤)   

  1. (1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. School of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, Zhejiang, China; 3. College of Science, Technology and Engineering, Shanghai Ocean University, Shanghai 201306, China)
  • Accepted:2022-06-17 Online:2024-09-28 Published:2024-09-28

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摘要： 为了在激烈的竞争中提高效率，提高造船企业的生产计划水平是十分必要和迫切的。弯曲砌块的施工是提高造船效率的瓶颈。因此，研究弯块生产是提高船舶生产效率的关键突破口。通过对曲面块生产调度问题的分析，提出了一种基于知识库的智能曲面块生产调度方法及其系统，并给出了系统的主要过程。该系统的功能包括数据管理、装配计划生成、计划调整和计划评估。为了处理实际情况和继承经验知识，系统提取了一些规则来控制分块选择、算法选择和评价阈值，从而构建了曲线分块调度系统的生产决策知识库。提出的知识库可以被用户引用和修改，特别是在用户和知识库之间进行少量交互之后。最终的装配计划可以可视化和评估，以方便观察计划的实施和过程中的决策效果。最后，在上海某大型船厂进行了实际数据验证，结果表明所提出的方法能够有效地实现曲面块的知识调度。

关键词: 智能调度, 知识库, 船舶装配生产, 曲面块

Abstract: To increase efficiency in fierce competition, it is necessary and urgent to improve the standard of production planning for shipbuilding. The construction of curved blocks is the bottleneck to improve the efficiency of shipbuilding. Thus it is a key breakthrough for higher shipbuilding productivity to study the curved block production. By analyzing the scheduling problem in curved blocks production, we propose an intelligent curved block production scheduling method and its system based on a knowledge base, and show the main process of the system. The functions of the system include data management, assembly plan generation, plan adjustment, and plan evaluation. In order to deal with the actual situation and inherit the empirical knowledge, the system extracts some rules to control block selecting, algorithm selection, and evaluation thresholds to build a production decision-making knowledge base in the curved block scheduling system. The proposed knowledge base could be referred and modified by users, especially after a few interactions between the users and the knowledge base. The final assembly plan can be visualized and evaluated to facilitate the observation of plan implementation and effects of the decisions in the process. Finally, the system is verified by a large shipyard in Shanghai using real data and the results illustrate that the proposed method can perform the knowledge-based scheduling for curved blocks construction effectively.

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