云制造环境下生产资源虚拟化的研究与实现

发布时间：2018-06-18 19:19

本文选题：云制造 + 制造资源虚拟化　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：随着德国工业4.0、美国工业互联网以及中国制造2025不断的深入推进,数字化、智能化、集成化、服务化的生产模式受到了工业界以及众多学者的广泛关注。在这样的背景下,云制造模式应运而生。云制造模式强调将制造业与新兴信息科技如云计算、物联网等相结合,以实现对虚拟制造资源与制造能力进行集成统一的分析、优化与管理。云制造模式的基础与关键性问题之一是如何对海量的制造资源进行虚拟化并对其进行实时处理、分析与应用。鉴于此,本文对云制造环境下生产资源虚拟化与虚拟制造资源的处理应用这一方向进行深入的研究,主要包括云制造系统模型建立、物理制造资源与虚拟制造资源之间的转化、虚拟制造资源处理系统的搭建以及云制造平台应用系统的开发等方面。基于本课题的研究背景以及云制造理论的需求与特点,本文首先设计了云制造平台的层次模型与技术框架。在模型的设计过程中,对典型生产制造车间中各类制造资源的运行模式与逻辑关系进行了分析,建立了一种高效可行的生产制造车间云制造系统层次模型,明确了各个层次所需的关键技术,并对模型各个层次之间的功能结构进行了分析,为每个层次填充了所需的关键技术,从而为后面的研究提供了理论、模型与技术层面的指导。作为云制造系统重要的技术基础之一,本文对物理-虚拟资源的转化进行了深入的研究。分析了云制造资源的分类以及虚拟化的关键技术,明确了不同制造资源的虚拟化方法。并通过架构设计、硬件安装以及软件实现,为哈工大工业工程综合实验室确定了制造资源虚拟化过程所采用的技术途径。在这之后,本文还通过数据治理以及网络治理完成了虚拟制造资源的汇集。在实现了海量制造资源虚拟化之后,本文搭建了虚拟制造资源处理平台。通过需求分析与技术分析,明确搭建虚拟制造资源的关键技术。利用Hadoop与Spark分布式大数据处理框架,搭建符合实际需求的虚拟制造资源处理系统,并通过相关应用案例实现了虚拟资源处理系统的应用与验证。本文基于前述理论研究,搭建了云制造平台的应用系统。通过需求分析与技术分析明确了需要实现的系统功能与搭建的技术基础与整体架构。在前端方面,利用响应式设计实现了应用系统对不同显示终端的适应。在后端方面基于MVC设计模式,实现了各个功能模块的分离。整个应用系统的搭建着眼于云制造理论中对资源共享与系统集成的要求,实现了对生产过程的全生命周期管理。并且,通过本系统可以拉近云制造资源需求者与云制造资源发布者之间的距离,真正实现资源的集成与共享。最后,通过对系统中相关功能应用与展示,验证了搭建的云制造平台应用系统的实用性与可靠性。
[Abstract]:With the development of German industry, American industrial Internet and 2025 made in China, the production mode of digital, intelligent, integrated and service has been paid more and more attention by industry and many scholars. In this context, the cloud manufacturing model came into being. Cloud manufacturing model emphasizes the combination of manufacturing and new information technology such as cloud computing and Internet of things in order to achieve integrated analysis optimization and management of virtual manufacturing resources and manufacturing capabilities. One of the key problems of cloud manufacturing model is how to virtualize and process, analyze and apply massive manufacturing resources in real time. In view of this, this paper makes a deep research on the virtualization of production resources and the processing and application of virtual manufacturing resources in cloud manufacturing environment, including the establishment of cloud manufacturing system model, the transformation between physical manufacturing resources and virtual manufacturing resources. The construction of virtual manufacturing resource processing system and the development of cloud manufacturing platform application system. Based on the research background and the requirements and characteristics of cloud manufacturing theory, this paper first designs the hierarchical model and technical framework of cloud manufacturing platform. In the process of model design, the operation mode and logic relation of various kinds of manufacturing resources in typical manufacturing workshop are analyzed, and an efficient and feasible hierarchical model of cloud manufacturing system in manufacturing workshop is established. The key technologies of each level are defined, and the functional structure of each level of the model is analyzed. The key technologies are filled in for each level, thus providing theoretical, model and technical guidance for the later research. As one of the important technical bases of cloud manufacturing system, this paper deeply studies the transformation of physical-virtual resources. The classification of cloud manufacturing resources and the key technologies of virtualization are analyzed, and the virtualization methods of different manufacturing resources are clarified. Through architecture design, hardware installation and software implementation, the technical approach of manufacturing resource virtualization process is determined for the industrial engineering comprehensive laboratory of Harbin Polytechnic University. After this, this paper also completes the collection of virtual manufacturing resources through data governance and network governance. After realizing the virtualization of mass manufacturing resources, this paper builds a virtual manufacturing resource processing platform. Through requirement analysis and technical analysis, the key technology of building virtual manufacturing resources is defined. Using Hadoop and Spark distributed big data processing framework, the virtual manufacturing resource processing system is built up, and the application and verification of virtual resource processing system are realized through relevant application cases. Based on the above theoretical research, the application system of cloud manufacturing platform is built in this paper. Through the requirement analysis and the technical analysis, the system function, the technical foundation and the whole structure are defined. In front-end, the application system adapts to different display terminals by response design. In the back end based on MVC design pattern, the separation of each functional module is realized. The construction of the whole application system focuses on the requirement of resource sharing and system integration in cloud manufacturing theory, and realizes the whole life cycle management of production process. Through this system, the distance between cloud manufacturing resource demanders and cloud manufacturing resource publishers can be narrowed, and the integration and sharing of cloud manufacturing resources can be realized. Finally, the practicability and reliability of the cloud manufacturing platform are verified by the application and demonstration of the related functions in the system.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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