面向极端工况压缩机的智能集成制造系统研究

Research on intelligent integrated manufacturing system for compressors under extreme operating conditions

  • 摘要: 文章以极端工况压缩机为研究对象,围绕工序作业流转、物料流动、机械机构运动、控制逻辑和数据交互等关键协同行为,按照全域协同原理,构建了压缩机智能集成制造系统的整体架构。该系统以高度的生产自动化、数字化、网络化和智能化为手段,具备自感知、自适应、自组织和自决策的特性,通过算法模型生成协同调度决策指令,增进人机物全流程全场景的同步协同,满足极端工况压缩机多品种变批量混流定制的需求,以优化的运行流程和高度集成的智能软件系统为核心,实现压缩机的低成本、高效率、高质量以及绿色低碳生产,提升国产压缩机的国际竞争力。文章提出的智能集成制造系统主要包括智能域、协同域、执行域和通信控制域4个层级,详细阐述了各域的建设方法与功能,并通过具体案例验证了系统的应用效果。该压缩机智能集成制造系统整体架构对其他相关工业领域具有一定的借鉴意义。

     

    Abstract: Compressors operating under extreme conditions are taken as the application object. A comprehensive architecture of an intelligent integrated manufacturing system for compressors is constructed based on the principle of full-domain collaboration, focusing on key collaborative behaviors such as process operation flow, material movement, mechanical mechanism motion, control logic, and data interaction. The system, which is characterized by a high degree of production automation, digitalization, networking, and intelligence, has the properties of self-perception, self-adaptation, self-organization, and self-decision-making. It generates collaborative scheduling decision-making instructions through algorithm models to enhance the synchronous collaboration of people, machines, and materials in the whole process and all scenarios. This system meets the requirements of multi-variety, variable-batch, and mixed-flow customized production for compressors under extreme operating conditions. It takes the optimized operation process and the highly integrated intelligent software system as the core to realize the low-cost, high-efficiency, high-quality, and green-low-carbon production of compressors. The international competitiveness of domestic compressors is thus enhanced. The intelligent integrated manufacturing system proposed in this paper mainly consists of four hierarchical domains, namely the intelligence domain, the collaboration domain, the execution domain, and the communication-control domain. The construction methods and functions of each domain are elaborated in detail. The application effect of the system is verified through a practical case. The system architecture of the compressor intelligent integrated manufacturing system presented in this paper provides a valuable reference for intelligent manufacturing practices in other industrial fields.

     

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