本文選題：云制造 + 制造資源虛擬化��； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：隨著德國工業(yè)4.0、美國工業(yè)互聯(lián)網(wǎng)以及中國制造2025不斷的深入推進(jìn),數(shù)字化、智能化、集成化、服務(wù)化的生產(chǎn)模式受到了工業(yè)界以及眾多學(xué)者的廣泛關(guān)注。在這樣的背景下,云制造模式應(yīng)運(yùn)而生。云制造模式強(qiáng)調(diào)將制造業(yè)與新興信息科技如云計算、物聯(lián)網(wǎng)等相結(jié)合,以實現(xiàn)對虛擬制造資源與制造能力進(jìn)行集成統(tǒng)一的分析、優(yōu)化與管理。云制造模式的基礎(chǔ)與關(guān)鍵性問題之一是如何對海量的制造資源進(jìn)行虛擬化并對其進(jìn)行實時處理、分析與應(yīng)用。鑒于此,本文對云制造環(huán)境下生產(chǎn)資源虛擬化與虛擬制造資源的處理應(yīng)用這一方向進(jìn)行深入的研究,主要包括云制造系統(tǒng)模型建立、物理制造資源與虛擬制造資源之間的轉(zhuǎn)化、虛擬制造資源處理系統(tǒng)的搭建以及云制造平臺應(yīng)用系統(tǒng)的開發(fā)等方面�；诒菊n題的研究背景以及云制造理論的需求與特點(diǎn),本文首先設(shè)計了云制造平臺的層次模型與技術(shù)框架。在模型的設(shè)計過程中,對典型生產(chǎn)制造車間中各類制造資源的運(yùn)行模式與邏輯關(guān)系進(jìn)行了分析,建立了一種高效可行的生產(chǎn)制造車間云制造系統(tǒng)層次模型,明確了各個層次所需的關(guān)鍵技術(shù),并對模型各個層次之間的功能結(jié)構(gòu)進(jìn)行了分析,為每個層次填充了所需的關(guān)鍵技術(shù),從而為后面的研究提供了理論、模型與技術(shù)層面的指導(dǎo)。作為云制造系統(tǒng)重要的技術(shù)基礎(chǔ)之一,本文對物理-虛擬資源的轉(zhuǎn)化進(jìn)行了深入的研究。分析了云制造資源的分類以及虛擬化的關(guān)鍵技術(shù),明確了不同制造資源的虛擬化方法。并通過架構(gòu)設(shè)計、硬件安裝以及軟件實現(xiàn),為哈工大工業(yè)工程綜合實驗室確定了制造資源虛擬化過程所采用的技術(shù)途徑。在這之后,本文還通過數(shù)據(jù)治理以及網(wǎng)絡(luò)治理完成了虛擬制造資源的匯集。在實現(xiàn)了海量制造資源虛擬化之后,本文搭建了虛擬制造資源處理平臺。通過需求分析與技術(shù)分析,明確搭建虛擬制造資源的關(guān)鍵技術(shù)。利用Hadoop與Spark分布式大數(shù)據(jù)處理框架,搭建符合實際需求的虛擬制造資源處理系統(tǒng),并通過相關(guān)應(yīng)用案例實現(xiàn)了虛擬資源處理系統(tǒng)的應(yīng)用與驗證。本文基于前述理論研究,搭建了云制造平臺的應(yīng)用系統(tǒng)。通過需求分析與技術(shù)分析明確了需要實現(xiàn)的系統(tǒng)功能與搭建的技術(shù)基礎(chǔ)與整體架構(gòu)。在前端方面,利用響應(yīng)式設(shè)計實現(xiàn)了應(yīng)用系統(tǒng)對不同顯示終端的適應(yīng)。在后端方面基于MVC設(shè)計模式,實現(xiàn)了各個功能模塊的分離。整個應(yīng)用系統(tǒng)的搭建著眼于云制造理論中對資源共享與系統(tǒng)集成的要求,實現(xiàn)了對生產(chǎn)過程的全生命周期管理。并且,通過本系統(tǒng)可以拉近云制造資源需求者與云制造資源發(fā)布者之間的距離,真正實現(xiàn)資源的集成與共享。最后,通過對系統(tǒng)中相關(guān)功能應(yīng)用與展示,驗證了搭建的云制造平臺應(yīng)用系統(tǒng)的實用性與可靠性。
[Abstract]:With the development of German industry, American industrial Internet and 2025 made in China, the production mode of digital, intelligent, integrated and service has been paid more and more attention by industry and many scholars. In this context, the cloud manufacturing model came into being. Cloud manufacturing model emphasizes the combination of manufacturing and new information technology such as cloud computing and Internet of things in order to achieve integrated analysis optimization and management of virtual manufacturing resources and manufacturing capabilities. One of the key problems of cloud manufacturing model is how to virtualize and process, analyze and apply massive manufacturing resources in real time. In view of this, this paper makes a deep research on the virtualization of production resources and the processing and application of virtual manufacturing resources in cloud manufacturing environment, including the establishment of cloud manufacturing system model, the transformation between physical manufacturing resources and virtual manufacturing resources. The construction of virtual manufacturing resource processing system and the development of cloud manufacturing platform application system. Based on the research background and the requirements and characteristics of cloud manufacturing theory, this paper first designs the hierarchical model and technical framework of cloud manufacturing platform. In the process of model design, the operation mode and logic relation of various kinds of manufacturing resources in typical manufacturing workshop are analyzed, and an efficient and feasible hierarchical model of cloud manufacturing system in manufacturing workshop is established. The key technologies of each level are defined, and the functional structure of each level of the model is analyzed. The key technologies are filled in for each level, thus providing theoretical, model and technical guidance for the later research. As one of the important technical bases of cloud manufacturing system, this paper deeply studies the transformation of physical-virtual resources. The classification of cloud manufacturing resources and the key technologies of virtualization are analyzed, and the virtualization methods of different manufacturing resources are clarified. Through architecture design, hardware installation and software implementation, the technical approach of manufacturing resource virtualization process is determined for the industrial engineering comprehensive laboratory of Harbin Polytechnic University. After this, this paper also completes the collection of virtual manufacturing resources through data governance and network governance. After realizing the virtualization of mass manufacturing resources, this paper builds a virtual manufacturing resource processing platform. Through requirement analysis and technical analysis, the key technology of building virtual manufacturing resources is defined. Using Hadoop and Spark distributed big data processing framework, the virtual manufacturing resource processing system is built up, and the application and verification of virtual resource processing system are realized through relevant application cases. Based on the above theoretical research, the application system of cloud manufacturing platform is built in this paper. Through the requirement analysis and the technical analysis, the system function, the technical foundation and the whole structure are defined. In front-end, the application system adapts to different display terminals by response design. In the back end based on MVC design pattern, the separation of each functional module is realized. The construction of the whole application system focuses on the requirement of resource sharing and system integration in cloud manufacturing theory, and realizes the whole life cycle management of production process. Through this system, the distance between cloud manufacturing resource demanders and cloud manufacturing resource publishers can be narrowed, and the integration and sharing of cloud manufacturing resources can be realized. Finally, the practicability and reliability of the cloud manufacturing platform are verified by the application and demonstration of the related functions in the system.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 朱雪初;喬非;;基于工業(yè)大數(shù)據(jù)的晶圓制造系統(tǒng)加工周期預(yù)測方法[J];計算機(jī)集成制造系統(tǒng);2017年10期

2 楊俊剛;張潔;秦威;張啟華;康盛;;面向半導(dǎo)體制造的大數(shù)據(jù)分析平臺[J];計算機(jī)集成制造系統(tǒng);2016年12期

3 盧秉恒;;標(biāo)準(zhǔn)化助力“中國制造2025”[J];機(jī)械工業(yè)標(biāo)準(zhǔn)化與質(zhì)量;2016年11期

4 張少敏;毛冬;王保義;;大數(shù)據(jù)處理技術(shù)在風(fēng)電機(jī)組齒輪箱故障診斷與預(yù)警中的應(yīng)用[J];電力系統(tǒng)自動化;2016年14期

5 王力超;韓江;夏鏈;;支持云制造的數(shù)控系統(tǒng)無線移動單元研究與設(shè)計[J];制造技術(shù)與機(jī)床;2016年05期

6 于金良;朱志祥;梁小江;;一種基于Sqoop的數(shù)據(jù)交換系統(tǒng)[J];物聯(lián)網(wǎng)技術(shù);2016年03期

7 陶永;王田苗;李秋實;趙罡;;基于“互聯(lián)網(wǎng)+”的制造業(yè)全生命周期設(shè)計、制造、服務(wù)一體化[J];科技導(dǎo)報;2016年04期

8 劉強(qiáng);秦泗釗;;過程工業(yè)大數(shù)據(jù)建模研究展望[J];自動化學(xué)報;2016年02期

9 薛瑞;朱曉民;;基于Spark Streaming的實時日志處理平臺設(shè)計與實現(xiàn)[J];電信工程技術(shù)與標(biāo)準(zhǔn)化;2015年09期

10 周濟(jì);;智能制造——“中國制造2025”的主攻方向[J];中國機(jī)械工程;2015年17期

相關(guān)博士學(xué)位論文 前1條

1 李林;數(shù)控加工過程能耗優(yōu)化及（火用）損失評價方法研究[D];哈爾濱工業(yè)大學(xué);2016年

相關(guān)碩士學(xué)位論文 前5條

1 沈靈麗;云制造下機(jī)車行業(yè)供應(yīng)商選擇及訂單分配研究[D];大連理工大學(xué);2015年

2 付文靜;基于HBase的大數(shù)據(jù)存儲查詢技術(shù)研究[D];電子科技大學(xué);2015年

3 張奮揚(yáng);考慮設(shè)備性能的車間能耗優(yōu)化方法及應(yīng)用研究[D];哈爾濱工業(yè)大學(xué);2014年

4 鄭濤;云制造系統(tǒng)的云資源信息采集方法研究[D];浙江大學(xué);2014年

5 王威;云制造的資源服務(wù)應(yīng)用模式研究及原型系統(tǒng)開發(fā)[D];浙江大學(xué);2014年

，

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