【摘要】：傳統(tǒng)制造業(yè)已經(jīng)陷入瓶頸,中小企業(yè)難以維持高昂的研發(fā)成本和設(shè)備成本。隨著云計算平臺的快速發(fā)展和網(wǎng)絡(luò)信息化的高速發(fā)展,將加工制造業(yè)與互聯(lián)網(wǎng)相結(jié)合是發(fā)展的趨勢,因此提出了云制造的概念。云制造是將制造業(yè)服務(wù)集成到云計算平臺的一種制造方式,主要提供設(shè)計服務(wù),模型服務(wù),生產(chǎn)服務(wù)和加工服務(wù)等。云制造的發(fā)展處于初步階段,從宏觀上進行的概念定義和研究探索較多,現(xiàn)有的云制造平臺主要面向全局的服務(wù),往往模型服務(wù)和設(shè)計服務(wù)較多,生產(chǎn)服務(wù)和加工服務(wù)互聯(lián)存在著不足。本文提出了一種基于云制造的數(shù)控加工平臺,該平臺包括數(shù)據(jù)層,系統(tǒng)層,功能層和應(yīng)用層。其中系統(tǒng)層的任務(wù)為云制造平臺的系統(tǒng)建設(shè),數(shù)據(jù)層的任務(wù)為數(shù)控機床硬件虛擬化構(gòu)建模型的數(shù)據(jù)管理,應(yīng)用層的任務(wù)為服務(wù)需求的智能分配算法。系統(tǒng)層建設(shè)將采用Hadoop分布式系統(tǒng)構(gòu)建云計算網(wǎng)絡(luò),將大量服務(wù)器構(gòu)建為統(tǒng)一的服務(wù)云,保證系統(tǒng)的資源需求。數(shù)據(jù)層主要采用Hive數(shù)據(jù)倉庫將數(shù)控加工云制造平臺的數(shù)據(jù)進行統(tǒng)一管理,利用Sqoop和MapReduce技術(shù)實現(xiàn)數(shù)據(jù)的轉(zhuǎn)存功能。應(yīng)用層主要采用Java語言的SSH框架設(shè)計云計算平臺的可視化應(yīng)用和服務(wù)需求分配算法的設(shè)計,服務(wù)需求主要為需求方的需求和供應(yīng)商的資源,將彼此的需求進行最優(yōu)化配置,因此提出了智能資源分配算法,該算法最主要采用基于Item的協(xié)同過濾算法和基于關(guān)聯(lián)規(guī)則的協(xié)同過濾算法。最后通過云制造數(shù)控加工平臺的建設(shè),解決了中小企業(yè)數(shù)控加工的需求,提高了數(shù)控加工企業(yè)的機床利用率,從而提高制造業(yè)的生成效率、經(jīng)營利潤并對資源實現(xiàn)最優(yōu)化分配。本文的數(shù)控加工云制造平臺探討為云制造的發(fā)展起到一定的推動作用,完善了數(shù)控加工領(lǐng)域的云制造服務(wù)。
[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.
【學位授予單位】：湖北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TG659

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