制造业物联网环境下的机械产品智能装配系统建模及关键技术研究

发布时间：2018-05-16 00:17

  本文选题：系统建模 + 机械产品　； 参考：《合肥工业大学》2015年博士论文

【摘要】：随着全球市场竞争的加剧,制造业作为国家经济发展的支柱产业与核心动力,将面临前所未有的严峻挑战,为了适应复杂多变的市场环境,以物联网技术为基础的智能制造战略成为制造工业发展的新方向。机械制造业为整个国民经济提供技术装备,在国民经济发展中具有举足轻重的作用,而装配是机械产品制造过程中的最后一个生产阶段,具有对产品质量影响大、管理与作业过程复杂等特点,迫切需要通过发展和应用物联网技术来提高装配系统的智能化程度。鉴于此,论文以机械产品装配系统为研究对象,主要围绕制造业物联网环境下智能高效的机械产品装配系统的建模及关键技术展开研究,旨在提高机械产品装配过程透明化与智能化水平,为构建制造业物联网环境下的机械产品智能装配系统提供一种参考模式和实现途径。首先,在综述智能制造相关领域研究现状的基础上,分析了物联网的产生、内涵、基本目标及其在智能制造战略中的作用,指出了制造业应用物联网技术所面临的问题,阐述了课题研究的必要性,给出了课题的主要来源、主要研究内容和整体研究框架。接着,在分析制造物联的内涵与特征的基础上,提出了制造业物联网环境下的机械产品智能装配系统,定义了系统的内涵和特征,构建了系统的整体运行框架、网络物理环境及拓扑结构,提炼了系统建模的关键技术。然后,围绕课题的核心研究目标,分别对系统建模的关键技术进行了深入研究,具体包括：(1)为了解决制造业物联网环境下的机械产品装配资源的表达、理解、封装、传递与共享等问题,论文首先提出了制造业物联网环境下的机械产品装配资源(制造物联资源)分类方法；其次,综合利用本体元建模、语义建模等理论和方法构建了制造物联资源的层次模型、整体模型、语义模型和数据模型；最后,基于资源任务匹配与闭环映射机制,设计了制造物联资源映射与组态框架,实现制造物联资源对象的结构化处理与封装。(2)针对制造业物联网环境下的机械产品装配系统多源异构数据感知、集成与交互问题,设计了制造物联资源的数据结构与编码结构,提炼了多源异构数据感知与集成框架,构建了制造业物联网环境下的生产数据交互体系。(3)为了实现系统由集中式控制向分散式增强型控制的基本模式转变,采用面向对象的思想将系统抽象为由若干工艺关联、功能相互独立的装配单元组成的对象集合；据此,结合物联网技术在制造业的应用模式,提出了制造业物联网环境下的机械产品智能装配单元,提炼了智能装配单元的内涵和特性,设计了智能装配单元的结构、运行框架、作业原理以及作业控制图,并对作业控制图的实现方法进行了研究。(4)针对机械产品装配过程中所存在的较多不确定性因素,在形成装配资源互联感知与集成的基础上,依据装配系统的功能层次特性,设计了一种多层动态优化体系,提炼了装配过程动态优化因子完备集,构建了基于物联熵的动态优化指标计算模型,设计了一种基于实时感知信息驱动的装配过程动态优化模型,为机械产品装配过程的实时分析和动态优化提供支撑。最后,采用面向对象的赋时着色Petri网与VisObjNet仿真技术对系统进行抽象、建模和仿真,并开发了制造业物联网环境下的机械产品智能装配系统原型,验证了本文所提出方法的可行性和有效性。
[Abstract]:With the intensification of the global market competition, the manufacturing industry, as the pillar industry and core power of the national economic development, will face unprecedented severe challenges. In order to adapt to the complex and changeable market environment, the intelligent manufacturing strategy based on the technology of the Internet of things has become a new direction for the development of the manufacturing industry. For technical equipment, it plays an important role in the development of national economy. And assembly is the last stage in the manufacturing process of mechanical products. It has the characteristics of great influence on product quality and complex management and operation process. It is urgent to develop and apply the technology of Internet of things to improve the intelligentization of the assembly system. This paper takes the mechanical product assembly system as the research object, mainly focuses on the modeling and key technology of the intelligent and efficient mechanical product assembly system under the environment of the Internet of things in the manufacturing industry. It aims to improve the transparency and intelligence level of the mechanical product assembly process, and to build the intelligent assembly system of the mechanical products under the environment of the Internet of things in the manufacturing industry. On the basis of summarizing the current research status in the field of intelligent manufacturing, this paper analyzes the production, connotation, basic objectives and the role in the intelligent manufacturing strategy. It points out the problems faced by the application of the Internet of things in manufacturing industry, expounds the necessity of the research, and gives the lessons. The main research content and the whole research framework are the main sources of the problem. Then, on the basis of the analysis of the connotation and characteristics of the Manufacturing Association, the intelligent assembly system of mechanical products under the environment of the Internet of things in the manufacturing industry is put forward. The connotation and characteristics of the system are defined, the whole framework of the system, the physical environment and topology of the network are constructed. The key technology of system modeling is introduced. Then, focusing on the core research objectives of the project, the key technologies of the system modeling are studied in detail, including: (1) in order to solve the problems of the expression, understanding, encapsulation, transfer and sharing of the assembly resources of mechanical products in the environment of the Internet of things in the manufacturing industry, the paper first proposes the manufacturing industry federation. The classification method of mechanical product assembly resources (manufacturing material resources) under the network environment; secondly, the hierarchical model, the whole model, the semantic model and the data model are constructed by the theory and method of ontology meta modeling and semantic modeling. Finally, based on the source task matching and the closed loop mapping mechanism, the manufacturing physical association is designed. The resource mapping and configuration framework can be used to implement the structured processing and encapsulation of the resource objects of the manufacture. (2) aiming at the multi-source heterogeneous data perception, integration and interaction of the mechanical product assembly system in the environment of the manufacturing industry, the data structure and coding structure of the resources are designed, and the multi-source heterogeneous data perception and integration frame is refined. (3) in order to realize the basic mode transformation of the system from centralized control to decentralized enhanced control, the system is abstracted as a set of objects consisting of a number of processes and independent assembly units. In the application mode of the manufacturing industry, the intelligent assembly unit of the mechanical product under the environment of the Internet of things in the manufacturing industry is put forward. The connotation and characteristics of the intelligent assembly unit are refined. The structure of the intelligent assembly unit, the running frame, the operation principle and the operation control chart are designed, and the realization method of the job control chart is studied. (4) 4) On the basis of forming assembly resource interconnection perception and integration, a kind of multi-layer dynamic optimization system is designed based on the functional hierarchy characteristics of assembly system. The complete set of dynamic optimization factors of assembly process is extracted and the dynamic optimization index calculation based on the entropy of physical product is constructed. In this model, a dynamic optimization model of assembly process based on real-time perception information is designed, which provides support for real-time analysis and dynamic optimization of mechanical product assembly process. Finally, the object oriented timed coloring Petri net and VisObjNet simulation technology are used to abstract, model and simulate the system, and the manufacturing industry IOT ring is developed. The prototype of the intelligent assembly system of mechanical products in the environment proves the feasibility and effectiveness of the proposed method.

【学位授予单位】：合肥工业大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：TH16;TP391.44;TN929.5
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本文编号：1894590