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卷烟智能工厂建设体系架构与关键技术分析

Analysis of the construction architecture and key technologies of intelligent cigarette factories

  • 摘要: 卷烟智能工厂建设是推动卷烟行业高质量发展的重要举措。为解决当前卷烟智能工厂建设多以局部点状应用为主、缺乏系统化技术架构与演进路径的问题,在梳理行业与国家智能制造标准以及卷烟制造相关文献研究的基础上,从“技术‒业务‒价值协同”视角构建了卷烟智能工厂建设体系架构,该架构一是提出了以工厂数字化、生产智能化和管理精益化为核心的发展内涵,二是构建了涵盖感知与执行层、互联层、数据治理层和业务应用层的卷烟智能工厂技术架构,三是提出了由智能生产单元、智能车间到智能工厂的三阶段渐进式发展路径。此外,重点分析了面向卷烟制造企业特色业务的多源数据协同的管控一体化、人工智能赋能卷烟工艺优化与卷烟设备智能运维等关键技术。研究结果表明,所提出的体系架构可实现从局部优化到系统集成再到整体智能的演进逻辑,为卷烟智能工厂由单点智能化向系统集成和整体智能化演进提供了理论框架与技术参考。

     

    Abstract: The construction of intelligent cigarette factories is a crucial initiative to advance the high-quality development of the cigarette industry. To address the current issue that cigarette smart factory construction is mainly focused on local dot-point applications and lacks a systematic technical architecture and evolution path, based on reviewing industry and national intelligent manufacturing standards and literature related to cigarette manufacturing, a system architecture for cigarette intelligent factory construction was constructed from the perspective of "technology and business, value synergy". First, the development connotation of smart cigarette factories was defined with factory digitalization, production intelligence, and lean management as its core dimensions; Second, a technical architecture for cigarette intelligent factories comprising the perception and execution layer, interconnection layer, data governance layer, and business application layer was established. Third, a three-stage progressive development pathway from intelligent production units to intelligent workshops and ultimately to smart factories was proposed. In addition, key technologies tailored to the specific business requirements of cigarette manufacturing enterprises were analyzed, including integrated production management and control based on multi-source data collaboration, artificial intelligence-enabled cigarette manufacturing process optimization, and intelligent operation and maintenance of cigarette manufacturing equipment. The results indicate that the proposed architecture can realize an evolutionary process from local optimization to system integration and ultimately to holistic intelligence, providing a theoretical framework and technical reference for the transformation of smart cigarette factories from single-point intelligent applications toward system integration and factory-wide intelligence.

     

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