云制造环境下资源服务匹配研究
本文选题:云制造 切入点:资源匹配 出处:《南昌大学》2014年硕士论文 论文类型:学位论文
【摘要】:云制造是面向服务的网络化制造新模式,通过融合云计算、物联网等相关的高新信息技术,以“制造即服务”为理念,将各类制造资源和制造能力虚拟化封装,服务化描述,实现资源合理共享配置和高效利用,为平台用户提供规范的、统一的和智能化的经营和管理。通过采用云制造技术能够实现跨企业、跨行业、跨区域的合作,企业可以快速响应动态市场,适应全球化的竞争和挑战。然而由于制造资源的多样性、复杂性、分散性和区域性等特点,在用户使用云制造资源服务的过程当中,,如何从云制造平台中快速准确的找到所需的资源服务,将用户个性化需求与种类繁多的制造资源进行智能化的匹配成为云制造平台实现的关键技术之一。在分析资源服务匹配研究现状和企业现实需求基础上,对云制造环境下资源服务匹配问题进行了深入研究。 首先,介绍了云制造基本概念和资源服务匹配的国内外研究现状,对云制造的基本理论和框架进行了阐述,研究了资源服务匹配的框架和云制造平台中的用户关系。 其次,针对云制造环境下制造资源具有多样性、动态性和复杂性,构建制造资源的分类模型;通过对资源服务描述信息进行分类,建立了包含基本信息、功能信息和约束信息等的信息模型;基于本体理论和语义描述语言OWL-S,建立云制造资源服务本体,通过云制造资源服务形式化描述,实现云制造资源服务统一描述,为资源服务的匹配提供信息支撑。 再次,将制造资源信息描述分为概念词、句子和数值参量三种类型,针对制造资源信息参数多样性的问题,并根据描述信息的不同,提出相应的相似度算法。 最后,在制造资源本体建模和形式化描述的基础上,提出一种包括基本信息匹配、功能匹配、约束匹配和综合匹配四个层次的匹配流程和匹配算法,并详细阐述了每个层次的匹配,同时计算各个层次间的相似度,提高匹配结果的准确性。并通过一个实例验证该算法。
[Abstract]:Cloud manufacturing is a new service-oriented networked manufacturing model. By integrating cloud computing, Internet of things and other related high-tech information technologies, taking "manufacturing as a service" as the concept, all kinds of manufacturing resources and manufacturing capabilities are virtualized and described as service. To achieve rational sharing and efficient use of resources, to provide standardized, unified and intelligent management and management for platform users. Through the use of cloud manufacturing technology, cross-enterprise, cross-industry, cross-regional cooperation can be realized. Enterprises can quickly respond to dynamic markets and adapt to global competition and challenges. However, due to the diversity, complexity, dispersion and regional characteristics of manufacturing resources, during the process of users using cloud manufacturing resources, How to quickly and accurately find the required resource services from the cloud manufacturing platform, It is one of the key technologies to realize the cloud manufacturing platform by intelligently matching the user's personalized requirements with a wide variety of manufacturing resources. In this paper, the problem of resource service matching in cloud manufacturing environment is studied. Firstly, the basic concepts of cloud manufacturing and the research status of resource service matching at home and abroad are introduced, the basic theory and framework of cloud manufacturing are expounded, and the framework of resource service matching and the user relationship in cloud manufacturing platform are studied. Secondly, aiming at the diversity, dynamics and complexity of manufacturing resources in cloud manufacturing environment, the classification model of manufacturing resources is constructed, and the basic information is established by classifying the description information of resource services. Based on ontology theory and semantic description language OWL-S, the cloud manufacturing resource service ontology is established, and the unified description of cloud manufacturing resource service is realized through formal description of cloud manufacturing resource service. Provide information support for resource service matching. Thirdly, the description of manufacturing resource information is divided into three types: concept words, sentences and numerical parameters. Aiming at the diversity of manufacturing resource information parameters, a similarity algorithm is proposed according to the different description information. Finally, on the basis of modeling and formal description of manufacturing resource ontology, a matching process and algorithm is proposed, which includes four levels: basic information matching, function matching, constraint matching and comprehensive matching. At the same time, the similarity of each level is calculated to improve the accuracy of the matching results, and an example is given to verify the algorithm.
【学位授予单位】:南昌大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.09
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