云制造环境下基于离散Markov跳变系统的机床装备资源动态优选方法

针对云制造环境下加工任务执行过程中机床装备资源易受紧急插单、加工质量异常、设备运行故障等高频随机扰动影响,致使产品加工服务质量(QoS)不能满足客户个性化需求的问题,提出一种基于离散Markov跳变系统的机床装备资源动态优化选择方法.首先,结合云制造服务运行特点,构建了云制造环境下面向加工任务执行过程的服务质量动态演化...     

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.     

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.     

Application modes of cloud manufacturing and program analysis

Service-oriented manufacturing is a trend in the manufacturing industry in the 21st century. Numerous theories related to this trend have been proposed. In particular, three typical theories, namely, industry 4.0, industrial Internet, and cloud manufacturing (CMfg), are discussed in this paper, including their differences. Existing problems in CMfg are analyzed. From the perspective of the service supplier, and by considering former research, three application modes of CMfg are proposed. A 3D printing application mode of CMfg is presented based on the characteristics of 3D printing and discussed in detail. The key technologies of 3D printing in CMfg are explained according to the differences between traditional manufacturing and CMfg.     

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.     

云制造——面向服务的网络化制造新模式

为求解更加复杂的制造问题和开展更大规模的协同制造,分析了目前应用服务提供商、制造网格等现有网络化制造模式在应用推广等方面遇到的问题,阐述了云计算服务模式、云安全、高性能计算、物联网等理念和新技术对解决网络化制造中运营、安全等问题的契机。在此基础上提出了一种面向服务的网络化制造新模式——云制造。给出了云制造的定义,分析了云制造与应用服务提供商、制造网格等的区别。提出了一种云制造的体系结构,讨论了实施云制造所需攻克的关键技术和所取得的成果。最后,给出了一个云制造的典型应用案例——基于云仿真原型平台的云设计。     

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。     

A study of optimal allocation of computing resources in cloud manufacturing systems

As a new advanced service-oriented networked manufacturing model, cloud manufacturing (CMfg) has been proposed recently. The optimal allocation of computing resources (OACR) is a core part for implementing CMfg. High heterogeneity, high dynamism, and virtualization make the OACR problem more complex than the traditional scheduling problems in grid system or cloud computing system. In this paper, a new comprehensive model for OACR is proposed in the CMfg system. In this model, all main computation, communication, and reliability constraints in the special circumstances are considered. To solve the OACR problem, a new improved niche immune algorithm was presented. Associated with the niche strategy, new heuristics are designed flexibly based on the characteristics of the problem and pheromone is added for adaptive searching. Experiments demonstrate the effectiveness of the designed heuristic information and show NIA’s high performances for addressing the OACR problem compared with other intelligent algorithms.     

面向服务链构建的云制造资源集成共享技术研究

为实现时序约束关联任务驱动的云制造环境下面向服务链构建的制造资源集成共享,研究并提出一种能促进云制造环境下制造资源快速共享、广域集成和分散服务特点的服务过程模型,对基于语义本体的云制造任务与资源建模、基于Web服务资源框架的云制造资源的平台服务化封装方案、云制造任务分解与时序约束关联原子任务链构建技术,以及云制造资源服务链构建技术等关键问题进行了研究,有效解决了云制造环境下异构资源描述、虚拟化、检索匹配与服务组合问题,最后通过仿真算例对提出的云制造服务模式及技术方案进行了验证。     

制造资源云集成元建模及云Agent服务调度研究

针对云制造过程中的制造资源虚拟化问题,分析了制造资源的存在形态、构成及其属性,提出基于RFID技术与对象名解析服务的制造资源感知与追溯逻辑架构,以实现物理制造资源虚拟化;通过建立虚拟制造资源静态-动态集成元模型,为异构、动态的虚拟制造资源的重组和融合提供统一描述机制;在此基础上,将移动Agent和云服务发现机制相融合,提出云Agent（cloud  Agent）的概念,并基于资源中介的改进合同网机制,实现云制造服务自适应管理和调度;给出了面向复杂产品协同的制造资源云服务平台原型系统,并结合汽轮机制造服务协同应用案例,初步实现了制造资源虚拟化和服务部署。     

云制造应用研究

对云制造的核心理念进行了阐述,分析了云制造在面向集团企业、区域性加工制造、中小企业服务和制造服务支持平台等方面的应用,提出了从易到难、继承与创新并举的云制造应用模式。     

基于ASP的动态联盟制造资源管理框架研究

研究了基于应用服务提供商(ASP)的动态联盟制造资源管理系统的基本框架；提出了基于应用服务提供商的动态联盟制造资源管理系统的体系结构，该系统体系结构包括基础数据层、系统层、系统管理层、制造资源管理应用服务层、Web门户层、用户层6个层次；并对基于应用服务提供商的动态联盟制造资源管理应用进行了业务建模。在调研的基础上，对系统主要工作业务流程框架进行了设计，提出了基于时间、质量、成本、服务、敏捷性、领先性、历史记录等指标的面向评价指标体系的资源建模方法。设计了基于应用服务提供商的动态联盟制造资源管理系统原型，并实现了该系统的部分应用。     

面向用户偏好的智能云服务平台研究

分析了云制造当前国内外研究现状,立足于云制造以用户为中心的核心思想,在云服务平台上,当用户需求不明确与面对云服务平台上海量服务云时,以用户对LED灯具的需求为例分析了面向产品全生命周期某个服务阶段和面向产品全生命周期服务链的个性化服务模式。提出了一种面向用户偏好的智能云服务平台体系架构,对实现面向用户偏好的个性化服务模式所涉及的关键技术进行了分析,为未来实现面向用户偏好的智能云服务平台提供了理论支撑。     

基于MapReduce和多目标蚁群算法的制造云服务动态选择算法

基于云计算技术和云服务技术研究了云服务的动态选择问题,给出了云制造服务层次化模型,提出了一种基于MapReduce和多目标蚁群算法的制造云服务动态选择算法(CSSMA)。依据CSSMA设计了多目标蚁群算法、Map函数、Reduce函数和优化策略等,并将其分布式并行运行于制造云平台中。仿真实验结果表明:CSSMA具备良好的处理大规模问题的能力,适用于制造云服务动态选择问题的求解。     

凸轮轴数控磨削云平台的研究与设计

针对整合磨削加工领域资源的问题,借鉴云计算与云制造的思想,提出并开发了整合与利用磨削软硬两大类资源的磨削云平台。提出了磨削云平台体系架构,设计了其软件结构,研究了其关键技术。利用人工智能技术,设计了磨削云平台应用需求模型及其工作流程与关键算法。开发了SaaS服务系统、PaaS服务系统、IaaS-to-PaaS分布式异构数据库同步复制系统、IaaS服务系统、用户注册登录管理系统5个软件子系统所组成的磨削云平台,使得企业在资源利用上更为优化便捷。将该磨削云平台应用于实际生产,有效提高了生产加工效率,降低了生产成本。     

基于深度学习算法的调度自动化云平台任务优化策略研究

分析了云平台任务调度的特点和目标,从任务调度算法入手,提出了基于改进粒子群算法的电力调度自动化系统的人工智能方法,开发了云计算操作的模型。基于该算法和物理模型的运行控制考虑了 QoS 要求和平台云居民的环境负载平衡,可以有效提高所提电力调度自动化系统的云平台任务调度的效率。以电力自动化云平台为分析对象,研究其架构,将修正的 PSO 算法与云资源调度模型的结构拓扑相结合,建立三级数据节点,给出了基于改进 PSO 的云平台调度模型,旨在提高云计算资源配置效率,改善云服务质量,解决电力调度自动化系统的任务调度问题。     

基于云制造的中小企业零件加工模式研究

为提高中小企业在零件加工制造过程中资源的利用,分析了目前中小企业零件加工过程中存在的问题,提出了基于云制造的零件加工服务模式,建立了基于云制造的中小企业零件加工体系结构及运行模式,研究了零件加工云制造服务平台实现的关键技术。