船舶工业互联网基础支撑及赋能服务平台架构分析

    Analysis on the Architecture of Internet Infrastructure Support and Enabling Service Platform for Shipbuilding Industry

    • 摘要: 针对船舶结构件多而杂、设备种类多、生成管理数字化程度低、以图纸传递进行现场制造信息交互等行业痛点问题,以工业互联网技术为基础,开展船舶工业互联网基础支撑及赋能平台研究,研发船舶生成管理算法及模型、船舶建造设备远程运维、船舶制造仿真评估算法及模型等。建立针对船舶行业特点的服务平台,面向船舶生成管理、设备运维、船舶制造等场景,基于工业互联网构建船舶生成管理排程业务模型及算法、设备信息快速接入通讯及运维信息分析算法、远程船舶制造仿真分析算法等内容。实现以生成资源与生成工艺为约束、以设备利用率/生成时间最短等为目标的智能船舶计划生成,设备远程信息监控与运维信息下发,船舶建造过程仿真验证与优化。与船舶行业人工排产方式相比,效率提升50%以上,设备状态及运维信息远程监控率达到80%。

       

      Abstract: Addressing the industry pain points of the shipbuilding industry, such as the complexity and variety of ship structural components, low digitalization of production management, multiple types of equipment, and on-site manufacturing information exchange primarily through drawing transmission, research is conducted on the foundational support and empowerment platform for the shipbuilding industry based on industrial internet technology. This includes the development of ship production management algorithms and models, remote operation and maintenance of shipbuilding equipment, and ship manufacturing simulation evaluation algorithms and models. A service platform tailored to the characteristics of the shipbuilding industry is established, focusing on scenarios such as ship production management, equipment operation and maintenance, and ship manufacturing. Based on the industrial internet, it constructs ship production management scheduling business models and algorithms, rapid equipment information access communication and operation and maintenance information analysis algorithms, remote ship manufacturing simulation analysis algorithms, and more. This enables intelligent ship production planning generation constrained by production resources and processes, with goals such as maximizing equipment utilization and minimizing production time. Remote equipment information monitoring and operation and maintenance information distribution, shipbuilding process simulation verification and optimization, have achieved an efficiency improvement of over 50% compared to manual production scheduling methods in the shipbuilding industry, with remote monitoring rates for equipment status and operation and maintenance information reaching 80%.

       

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