Aiming at the problems existing in discrete manufacturing workshops of ships, such as the lack of real-time management and control ability of on-site production status, and the long time delay of real-time interaction and fusion between physical entities and virtual entities data, this paper proposes ship production workshop data mapping and fusion method based on digital twins. Taking a ship machining workshop as an application research example, the integrated business process and data mapping and fusion method of the machining workshop based on digital twins are studied. On this basis, the dynamic scheduling optimization algorithm of ship machining workshops based on digital twins is studied. The results show that the data mapping and fusion method in this study can significantly reduce the time delay of data interaction between the virtual and real objects. It can effectively improve the real-time and production flexibility of dynamic and complex tasks such as emergency insertion and task rework. The ability of real-time data interaction and synchronous real-time mapping between physical entities and virtual entities in dynamic scenes such as production line reconstruction and customized production is improved.

中文翻译：

---

基于数字孪生的船舶生产车间数据映射与融合方法研究

针对船舶离散制造车间存在的现场生产状态缺乏实时管控能力、物理实体与虚拟实体数据实时交互融合时延较长等问题论文提出了基于数字孪生的船舶生产车间数据映射与融合方法。以船舶机加工车间为应用研究实例，研究基于数字孪生的机加工车间集成业务流程和数据映射融合方法。在此基础上，研究了基于数字孪生的船舶加工车间动态调度优化算法。结果表明，本研究中的数据映射和融合方法可以显着降低虚拟和现实对象之间数据交互的时间延迟。可以有效提高紧急插入、任务返工等动态复杂任务的实时性和生产灵活性。提高产线改造、定制生产等动态场景中物理实体与虚拟实体之间的实时数据交互和同步实时映射能力。