云制造软资源封装研究

在研究现有制造资源的属性描述方法和封装模型的基础上,根据云制造汇聚资源服务进行集中管理以及为多个用户同时提供服务的特点,建立了一种新的基于Web服务的云制造软资源封装架构,并设计出通用软资源描述模型,结合该模型给出软资源封装的一般流程。通过数字化制造支持系统与PDM集成的实现,验证了云制造软资源的属性描述、封装模型建立和封装流程的可行性及合理性。     

云模式下制造资源的服务化描述与虚拟化封装方法

为实现云模式下制造资源的集成共享和高效利用,构建了一种分层次、模块化的制造资源描述框架,提出了制造资源、资源提供方以及资源相关访问的具体描述模型,保证了资源的独立性和相关服务的集成性。在分析制造服务虚拟化封装意义的基础上,提出了一种基于Web的制造服务虚拟化封装方法,给出了制造服务的结构与语义验证机制以及虚拟化封装的流程和步骤。最后以某型号加工中心为例,验证了本文所提模型和方法的可行性和有效性。     

面向云制造的制造资源模型研究

通过分析云制造系统的运作模式和体系结构,得出了制造资源在云制造系统中的地位和作用,然后在此基础上提出了面向云制造系统的制造资源数据模型。结合云制造的特点,通过对资源数据模型的分类信息、对象信息和属性信息3个层次的信息描述,建立了制造资源数据的三维模型,该模型支持云制造系统中的制造资源构建、制造资源封装、制造资源能力模型构建以及资源评价等。     

面向云制造的制造资源模型研究

通过分析云制造系统的运作模式和体系结构,得出了制造资源在云制造系统中的地位和作用,然后在此基础上提出了面向云制造系统的制造资源数据模型。结合云制造的特点,通过对资源数据模型的分类信息、对象信息和属性信息3个层次的信息描述,建立了制造资源数据的三维模型,该模型支持云制造系统中的制造资源构建、制造资源封装、制造资源能力模型构建以及资源评价等。     

基于属性描述匹配的云制造服务资源搜索方法

为实现智能、高效、便捷的云制造服务资源搜索,提高服务资源需求与制造服务资源的匹配精确度,在分析现有服务资源属性检索技术和云制造服务资源特点的基础上,提出一种基于属性匹配的云制造服务资源搜索方法,并建立了其中云制造服务资源属性标准化分类描述模型;设计了服务资源同义词字典集和属性字典集,并以此为基础构造了关键词规范化算法和参数化的属性匹配算法。通过算法复杂度分析和实例验证表明,该方法具有云制造服务资源的高效准确匹配的优势。     

元活动模型驱动的多领域制造资源粒层化服务封装与检索

多领域制造资源的聚合与服务封装直接关系到云制造服务的可检索性与易用性,是实现制造能力共享的关键。针对因缺乏关键资源信息或制造活动过程特征,以及服务特征属性不确定性大等导致云服务信息粒度过粗、查准率低的问题,构建了以人、机、料、法、环为核心要素的制造元活动模型以实现多领域资源颗粒的有效聚合,并基于商空间粒计算理论对资源簇的制造能力进行逐层封装,提出基于灰相似粗糙集的云制造服务粒层递归搜索算法以解决服务特征属性的不确定性问题,建立了一套元活动模型驱动的多领域制造资源粒层化服务封装与检索方法。通过某金属构件快速成形云服务的检索算例验证了所提方法的可行性。     

基于RVCS的云制造资源封装、发布和发现模型

为了在云制造的海量数据环境下实时发布和更新资源云信息,快速发现和获取资源信息,基于资源及服务的动态属性,建立了云制造三层属性结构,提出了基于资源云服务的资源封装、发布和发现模型,详细介绍了动态属性发布、Web服务描述语言、文件结构、资源云发布及其发现与匹配等关键要素的实现过程,并采用常用分布式应用软件mpiBI。AST和Microsoft．Net初步搭建了原型系统,实现了基本功能,为今后进一步深入研究和完善功能提供了理论和技术支持。     

云制造资源语义描述与建模

对云制造资源进行描述与建模,从而将物理制造资源转化为逻辑制造资源,以构建虚拟资源封装组件是实现云制造服务的基础。分析了云制造资源的概念、广义制造能力、使用价格、评价等相关属性,指出云制造资源应是一个广义的概念,具有广义制造能力是云制造资源的基本内涵;使用价格和评价对云制造资源的配置产生重要的影响。采用OWL本体语言构建了云制造资源的本体模型,对主要本体进行了阐述,用实例证明具有良好的灵活性和扩展性。     

云制造中生产设备资源服务化封装方法

针对云制造中生产设备资源的服务化封装难题,在对比现有制造资源封装技术研究的基础上,给出了制造资源分类,分析了生产设备资源的特点以及服务化技术,提出了云制造中生产设备资源服务化封装框架,建立了生产设备资源的形式化描述模型,对资源的服务化封装过程进行了系统研究。最后,通过一个实例验证了在云制造中生产设备资源服务化封装方法的可行性和科学性。     

基于资源云端化的服务调度本体描述模型

在分析云制造资源虚拟化支持技术的基础上,探讨了制造资源融入平台的虚拟云端化的形式化描述方法;以云制造服务调度框架为依托,梳理了云制造服务调度的各类参与角色与完整运作流程,建立了云制造服务调度本体概要模型并基于OWL-S进行了模型刻画,规划了云制造服务调度作业的逻辑处理结构,分析了云服务调度知识库的知识规则分类组成,最后拟定了基于SOA架构的云制造服务调度平台的技术实现方案。     

Research on technologies and application of data mining for cloud manufacturing resource services

Nowadays, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for better implementing CMfg services is how to address the problems faced by distributed massive and polymorphic data analysis and processing of manufacturing resource services in CMfg environment. In order to handle the problems, and promote development integration and business application of data mining, the research on technologies and application of data mining for cloud manufacturing resource (CMR) services has been carried out in this paper. The data mining application model and multi hierarchy architecture of CMR services are designed, and the topology of resource service data integrating process based on multi-Agent is presented. Besides, the preprocessing method of manufacturing resource data is proposed, and a CMR virtual data warehouse is established as well. In addition, an improved genetic algorithm oriented to manufacturing resource services is put forward, so as to achieve efficient searching and mining of massive polymorphic data. Finally, a case study is employed to illustrate the effectiveness and applicability of the proposed method in CMR service platform.     

制造网格中制造资源封装的经济模型

随着制造网格研究的逐步深入,制造资源封装问题引起了广泛的关注,对制造资源的封装不仅要求其在操作上能以统一的方式进行访问,也要求其能在功能、性能等方面体现出特殊性,以QoS满足用户的需求。本文在分析了制造网格中制造资源封装存在的一定问题后,提出了引入经济模型解决制造资源性能无法表达的问题,并通过全自动线束机的封装为例,验证了其的可行性。     

基于制造网格平台的模具制造资源共享机制研究

介绍了制造网格的基本概念，分析了中国模具制造企业制造资源利用现状以及对信息化的需求，提出了基于制造网格平台的模具制造资源共享机制。对中小模具企业里的各种与模具全生命周期有关的资源进行分类、规划和整合，以制造网格为平台构建了制造服务协同制造网络。通过对模具制造资源进行网格化封装，实现了资源的协同共享，为中国模具制造企业实现信息化和网格化制造提供了理论支撑。     

Common engines of cloud manufacturing service platform for SMEs

In order to improve the comprehensive competitiveness of small- and medium-sized enterprises (SMEs), a cloud manufacturing service platform for SMEs was implemented with the idea and model of cloud manufacturing (CMfg) in this paper. Using the transaction mode of multiple enterprises, multiple orders, and multi-party collaboration, the architecture and workflows of this cloud manufacturing service platform were designed. Some common engines, such as intelligent matching engine for supply and demand, transaction coordinating logic engine, and credit evaluation engine, were researched, which implement the semantic intelligent searching, order tracking, transaction task guiding, and collaborative management in the whole process of CMfg. As a case, this platform has been applied in the automobile and motorcycle parts manufacturing industry, which effectively integrates manufacturing service resources in this field through online services and offline services (O2O), achieving the effective management of service resources.     

Multi-task scheduling of distributed 3D printing services in cloud manufacturing

The problem of service matching and scheduling in cloud manufacturing (CMfg) is complex for different types of manufacturing services. 3D printing, as a rapidly developing manufacturing technology, has become an important service form in the CMfg platform due to its characteristics of personalized manufacturing. How to solve the task scheduling problem for distributed 3D printing services in CMfg needs further research. In this paper, a service transaction model of 3D printing services in CMfg is built. Based on the service transaction model, we propose 3D printing service matching strategies and matching rules of different service attributes, including model size, printing material, printing preciseness, task cost, task time, and logistics. To reduce the delivery time of tasks from service suppliers to service demanders, a 3D printing service scheduling (3DPSS) method is proposed to generate optimal service scheduling solutions. In 3DPSS, optimization objective, constraints, and optimization algorithm are presented in detail. Experimental results show that the average task delivery time of 3DPSS is shorter than that of typical scheduling methods, such as particle swarm optimization, pattern search, and sequential quadratic programming, when the amounts of tasks change.     

Research on the impact of service provider cooperative relationship on cloud manufacturing platform

As an emerging service-oriented manufacturing paradigm, Cloud Manufacturing (CMfg) is expected to provide smart networked platforms that enable efficient global collaborations among cloud service providers in a product lifecycle. The service provider cooperative relationship (SPCR) plays a crucial part in cloud service scheduling and thus potentially influences the operational performance of a CMfg platform. The guaranteed SPCR could ensure service quality and reduce the interaction costs among service providers in the process of collaborative manufacturing tasks, thereby having a positive impact on the operational efficiency of a CMfg platform. The cost reduction and quality assurance, however, usually make the cost-effective services more attractive for an increasing number of manufacturing tasks and lead to load imbalance in a CMfg platform, thus having a negative impact on the operational efficiency. The impact mechanism of SPCR on a CMfg platform is still unclear from an evolutionary perspective. In this paper, we propose a CMfg platform evolution model (CPEM) to investigate the impacts of SPCR on the operational performance of a CMfg platform. Three quantitative metrics, from the perspective of cloud consumer, cloud operator, and cloud service provider, respectively, are established to support the performance evaluation. The results of contrast experiments reveal the impacts of SPCR on a CMfg platform.