信息物理系统环境下面向多层次资源协同的制造智能方法

发布时间：2018-03-23 22:28

  本文选题：制造智能　切入点：多层次资源协同　出处：《科技进步与对策》2017年17期

【摘要】：信息物理系统(Cyber-physical system,CPS)在制造过程中的应用,能够将企业不同层次的制造资源连接起来,实现资源的按需使用和高效的过程监控。在CPS环境下,可通过整合多粒度社会化制造资源,构建基于动态服务联盟的灵活多Agent制造系统。随着系统的运营和联盟演化,实时制造智能方法成为解决任务分配、实时决策等问题的关键技术。在对多Agent制造系统服务能力和协同关系进行分析的基础上,提出了动态的协同任务分配模型。考虑制造任务的关系、时空等因素,构建了基于Petri-net和多领域矩阵的协同任务节拍控制模型。根据智能服务单元的特点,提出了多层次实时决策体系,分析了本地Agent的决策模型和不同企业或同一企业多Agent的协同决策机制。最后,在对实时制造智能一般框架进行阐述的基础上,提出了制造智能方法的未来研究方向和挑战。
[Abstract]:The application of information physics system (CPS) in manufacturing process can connect the manufacturing resources of different levels of enterprises, and realize the on-demand use of resources and efficient process monitoring. In the CPS environment, the multi-granularity socialized manufacturing resources can be integrated. A flexible multi-#en0# manufacturing system based on dynamic service alliance is constructed. With the operation of the system and the evolution of the alliance, the intelligent method of real-time manufacturing becomes the solution of task allocation. Based on the analysis of service capability and collaborative relationship of multi-#en0# manufacturing system, a dynamic collaborative task allocation model is proposed, which considers the relationship between manufacturing tasks, time and space, and so on. Based on the characteristics of intelligent service unit, a multi-level real-time decision-making system is proposed, which is based on Petri-net and multi-domain matrix. The decision model of local Agent and the cooperative decision-making mechanism of multiple Agent in different enterprises or the same enterprise are analyzed. Finally, based on the general framework of real-time manufacturing intelligence, the future research direction and challenges of manufacturing intelligent methods are proposed.
【作者单位】： 合肥工业大学管理学院;
【基金】：国家自然科学基金重点项目(71531008);国家自然科学基金面上项目(71271073)
【分类号】：F274
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本文编号：1655495