基于云制造的数控加工服务关键技术研究

发布时间：2018-12-10 06:47

【摘要】：传统制造业已经陷入瓶颈,中小企业难以维持高昂的研发成本和设备成本。随着云计算平台的快速发展和网络信息化的高速发展,将加工制造业与互联网相结合是发展的趋势,因此提出了云制造的概念。云制造是将制造业服务集成到云计算平台的一种制造方式,主要提供设计服务,模型服务,生产服务和加工服务等。云制造的发展处于初步阶段,从宏观上进行的概念定义和研究探索较多,现有的云制造平台主要面向全局的服务,往往模型服务和设计服务较多,生产服务和加工服务互联存在着不足。本文提出了一种基于云制造的数控加工平台,该平台包括数据层,系统层,功能层和应用层。其中系统层的任务为云制造平台的系统建设,数据层的任务为数控机床硬件虚拟化构建模型的数据管理,应用层的任务为服务需求的智能分配算法。系统层建设将采用Hadoop分布式系统构建云计算网络,将大量服务器构建为统一的服务云,保证系统的资源需求。数据层主要采用Hive数据仓库将数控加工云制造平台的数据进行统一管理,利用Sqoop和MapReduce技术实现数据的转存功能。应用层主要采用Java语言的SSH框架设计云计算平台的可视化应用和服务需求分配算法的设计,服务需求主要为需求方的需求和供应商的资源,将彼此的需求进行最优化配置,因此提出了智能资源分配算法,该算法最主要采用基于Item的协同过滤算法和基于关联规则的协同过滤算法。最后通过云制造数控加工平台的建设,解决了中小企业数控加工的需求,提高了数控加工企业的机床利用率,从而提高制造业的生成效率、经营利润并对资源实现最优化分配。本文的数控加工云制造平台探讨为云制造的发展起到一定的推动作用,完善了数控加工领域的云制造服务。
[Abstract]:Traditional manufacturing industry has been in a bottleneck, SMEs can not maintain high R & D costs and equipment costs. With the rapid development of cloud computing platform and the rapid development of network information, it is the development trend to combine the processing manufacturing industry with the Internet, so the concept of cloud manufacturing is put forward. Cloud manufacturing is a manufacturing method that integrates manufacturing services into cloud computing platform. It mainly provides design services, model services, production services and processing services. The development of cloud manufacturing is in its initial stage, and there are many conceptual definitions and research and exploration from the macro level. The existing cloud manufacturing platforms are mainly oriented to global services, often with more model services and design services. There are shortcomings in the interconnection of production services and processing services. This paper presents a NC machining platform based on cloud manufacturing, which includes data layer, system layer, function layer and application layer. The task of the system layer is the system construction of the cloud manufacturing platform, the task of the data layer is the data management of building the model of the NC machine tool hardware virtualization, and the task of the application layer is the intelligent allocation algorithm of the service demand. System layer construction will use Hadoop distributed system to build cloud computing network, a large number of servers will be built into a unified service cloud to ensure the system resource requirements. The data layer mainly uses Hive data warehouse to unify the data management of the NC processing cloud manufacturing platform, and realizes the function of data transfer using Sqoop and MapReduce technology. The application layer mainly uses the SSH framework of Java language to design the visual application of cloud computing platform and the design of service requirement allocation algorithm. Therefore, an intelligent resource allocation algorithm is proposed, which mainly adopts collaborative filtering algorithm based on Item and collaborative filtering algorithm based on association rules. Finally, through the construction of cloud manufacturing NC machining platform, the demand of small and medium-sized enterprises for NC machining is solved, and the machine tool utilization ratio of NC processing enterprises is improved, thus increasing the efficiency of manufacturing, operating profit and realizing the optimal allocation of resources. The discussion of cloud manufacturing platform in this paper can promote the development of cloud manufacturing and perfect the cloud manufacturing service in the field of NC machining.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG659

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