云制造环境下机床装备资源云端接入及优化选择方法研究

Machine tools are large numerous, and key resources for discrete manufacturing enterprises, whose adaptive access and optimal allocation in cloud manufacturing environment are always the technological bottlenecks to restrict the further application of cloud manufacturing mode in enterprise workshops. This project intends to explore the cloud access theory and optimization selection method of machine tools. Firstly, we analyze the information structure of machine tools in cloud manufacturing environment, establish a multi-dimensional machine tool information model, and research on the collection and fusion processing method of these information. Secondly, combining metadata and ontology theory, we construct the machine tool domain ontology, propose a semantic template based description and encapsulation method of machine tools, and design the logical mapping function and intelligent adaptation mechanism between virtual machine tools and physical those. What’s more, the project will analyze the multivariate quality constraints and the production disturbances for machine tools in cloud manufacturing environment, and establish a Bayesian network based optimization decision model, which will be solved by designed algorithms. Finally, the research results of the project will be validated in the cloud manufacturing service platform and application scenario, which are our research results in a previous project. The expected results of the project will further enrich the cloud manufacturing theory and provide technical support to the application of cloud manufacturing model in workshops.

机床装备量大面广，是离散制造企业生产运行的核心资源。机床装备资源的适配接入与优化配置一直是制约云制造模式向离散制造企业车间层延伸和应用的技术瓶颈。本项目拟对云制造环境下机床装备资源的云端接入技术及优化选择方法展开探索，包括：分析云制造环境下机床装备资源的信息构成，建立机床装备资源多维信息模型，研究机床装备多源信息采集与融合处理方法；结合元数据和本体理论，建立机床装备资源领域本体，研究基于语义模板的机床装备资源描述与封装方法，并构建虚拟封装实例与物理机床装备间的逻辑映射函数与智能适配机制；透析云制造环境下机床装备资源的多元质量约束特征和车间生产扰动特性，建立基于贝叶斯网络的机床装备资源优选决策模型并求解；在项目组前期搭建的云制造服务平台及应用场景中对项目所提理论、方法及开发工具进行应用验证。项目预期成果将进一步丰富云制造服务基础理论和方法，并为云制造模式向车间底层的应用提供技术支撑。

项目结合广大离散制造车间复杂的运行环境及云制造服务的运行特点，研究了机床装备资源的多维信息构成及定义方法，突破了基于语义模板的机床装备资源虚拟化描述与服务化封装方法，建立了服务化封装实例与物理机床装备间的映射关系及多源信息适配机制，提出了面向车间生产扰动的机床装备资源动态优化配置技术等，并开展了应用验证。其成果为云制造模式在广大离散制造企业车间底层的落地应用提供一定的理论基础和技术支撑。项目目前已发表学术论文10篇，其中已发表SCI/EI论文8篇；申请国家发明专利4项，登记国家软件著作权2项。此外，基于项目研究，团队培养硕士研究生6名，并受邀在第17届ASME国际会议、第16届全国计算机支持的协同工作与社会计算学术会议上就项目相关研究成果作了相应的分会主题报告。