本文選題：系統(tǒng)建模 + 機械產(chǎn)品��； 參考：《合肥工業(yè)大學(xué)》2015年博士論文

【摘要】：隨著全球市場競爭的加劇,制造業(yè)作為國家經(jīng)濟發(fā)展的支柱產(chǎn)業(yè)與核心動力,將面臨前所未有的嚴峻挑戰(zhàn),為了適應(yīng)復(fù)雜多變的市場環(huán)境,以物聯(lián)網(wǎng)技術(shù)為基礎(chǔ)的智能制造戰(zhàn)略成為制造工業(yè)發(fā)展的新方向。機械制造業(yè)為整個國民經(jīng)濟提供技術(shù)裝備,在國民經(jīng)濟發(fā)展中具有舉足輕重的作用,而裝配是機械產(chǎn)品制造過程中的最后一個生產(chǎn)階段,具有對產(chǎn)品質(zhì)量影響大、管理與作業(yè)過程復(fù)雜等特點,迫切需要通過發(fā)展和應(yīng)用物聯(lián)網(wǎng)技術(shù)來提高裝配系統(tǒng)的智能化程度。鑒于此,論文以機械產(chǎn)品裝配系統(tǒng)為研究對象,主要圍繞制造業(yè)物聯(lián)網(wǎng)環(huán)境下智能高效的機械產(chǎn)品裝配系統(tǒng)的建模及關(guān)鍵技術(shù)展開研究,旨在提高機械產(chǎn)品裝配過程透明化與智能化水平,為構(gòu)建制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品智能裝配系統(tǒng)提供一種參考模式和實現(xiàn)途徑。首先,在綜述智能制造相關(guān)領(lǐng)域研究現(xiàn)狀的基礎(chǔ)上,分析了物聯(lián)網(wǎng)的產(chǎn)生、內(nèi)涵、基本目標及其在智能制造戰(zhàn)略中的作用,指出了制造業(yè)應(yīng)用物聯(lián)網(wǎng)技術(shù)所面臨的問題,闡述了課題研究的必要性,給出了課題的主要來源、主要研究內(nèi)容和整體研究框架。接著,在分析制造物聯(lián)的內(nèi)涵與特征的基礎(chǔ)上,提出了制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品智能裝配系統(tǒng),定義了系統(tǒng)的內(nèi)涵和特征,構(gòu)建了系統(tǒng)的整體運行框架、網(wǎng)絡(luò)物理環(huán)境及拓撲結(jié)構(gòu),提煉了系統(tǒng)建模的關(guān)鍵技術(shù)。然后,圍繞課題的核心研究目標,分別對系統(tǒng)建模的關(guān)鍵技術(shù)進行了深入研究,具體包括：(1)為了解決制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品裝配資源的表達、理解、封裝、傳遞與共享等問題,論文首先提出了制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品裝配資源(制造物聯(lián)資源)分類方法；其次,綜合利用本體元建模、語義建模等理論和方法構(gòu)建了制造物聯(lián)資源的層次模型、整體模型、語義模型和數(shù)據(jù)模型；最后,基于資源任務(wù)匹配與閉環(huán)映射機制,設(shè)計了制造物聯(lián)資源映射與組態(tài)框架,實現(xiàn)制造物聯(lián)資源對象的結(jié)構(gòu)化處理與封裝。(2)針對制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品裝配系統(tǒng)多源異構(gòu)數(shù)據(jù)感知、集成與交互問題,設(shè)計了制造物聯(lián)資源的數(shù)據(jù)結(jié)構(gòu)與編碼結(jié)構(gòu),提煉了多源異構(gòu)數(shù)據(jù)感知與集成框架,構(gòu)建了制造業(yè)物聯(lián)網(wǎng)環(huán)境下的生產(chǎn)數(shù)據(jù)交互體系。(3)為了實現(xiàn)系統(tǒng)由集中式控制向分散式增強型控制的基本模式轉(zhuǎn)變,采用面向?qū)ο蟮乃枷雽⑾到y(tǒng)抽象為由若干工藝關(guān)聯(lián)、功能相互獨立的裝配單元組成的對象集合；據(jù)此,結(jié)合物聯(lián)網(wǎng)技術(shù)在制造業(yè)的應(yīng)用模式,提出了制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品智能裝配單元,提煉了智能裝配單元的內(nèi)涵和特性,設(shè)計了智能裝配單元的結(jié)構(gòu)、運行框架、作業(yè)原理以及作業(yè)控制圖,并對作業(yè)控制圖的實現(xiàn)方法進行了研究。(4)針對機械產(chǎn)品裝配過程中所存在的較多不確定性因素,在形成裝配資源互聯(lián)感知與集成的基礎(chǔ)上,依據(jù)裝配系統(tǒng)的功能層次特性,設(shè)計了一種多層動態(tài)優(yōu)化體系,提煉了裝配過程動態(tài)優(yōu)化因子完備集,構(gòu)建了基于物聯(lián)熵的動態(tài)優(yōu)化指標計算模型,設(shè)計了一種基于實時感知信息驅(qū)動的裝配過程動態(tài)優(yōu)化模型,為機械產(chǎn)品裝配過程的實時分析和動態(tài)優(yōu)化提供支撐。最后,采用面向?qū)ο蟮馁x時著色Petri網(wǎng)與VisObjNet仿真技術(shù)對系統(tǒng)進行抽象、建模和仿真,并開發(fā)了制造業(yè)物聯(lián)網(wǎng)環(huán)境下的機械產(chǎn)品智能裝配系統(tǒng)原型,驗證了本文所提出方法的可行性和有效性。
[Abstract]:With the intensification of the global market competition, the manufacturing industry, as the pillar industry and core power of the national economic development, will face unprecedented severe challenges. In order to adapt to the complex and changeable market environment, the intelligent manufacturing strategy based on the technology of the Internet of things has become a new direction for the development of the manufacturing industry. For technical equipment, it plays an important role in the development of national economy. And assembly is the last stage in the manufacturing process of mechanical products. It has the characteristics of great influence on product quality and complex management and operation process. It is urgent to develop and apply the technology of Internet of things to improve the intelligentization of the assembly system. This paper takes the mechanical product assembly system as the research object, mainly focuses on the modeling and key technology of the intelligent and efficient mechanical product assembly system under the environment of the Internet of things in the manufacturing industry. It aims to improve the transparency and intelligence level of the mechanical product assembly process, and to build the intelligent assembly system of the mechanical products under the environment of the Internet of things in the manufacturing industry. On the basis of summarizing the current research status in the field of intelligent manufacturing, this paper analyzes the production, connotation, basic objectives and the role in the intelligent manufacturing strategy. It points out the problems faced by the application of the Internet of things in manufacturing industry, expounds the necessity of the research, and gives the lessons. The main research content and the whole research framework are the main sources of the problem. Then, on the basis of the analysis of the connotation and characteristics of the Manufacturing Association, the intelligent assembly system of mechanical products under the environment of the Internet of things in the manufacturing industry is put forward. The connotation and characteristics of the system are defined, the whole framework of the system, the physical environment and topology of the network are constructed. The key technology of system modeling is introduced. Then, focusing on the core research objectives of the project, the key technologies of the system modeling are studied in detail, including: (1) in order to solve the problems of the expression, understanding, encapsulation, transfer and sharing of the assembly resources of mechanical products in the environment of the Internet of things in the manufacturing industry, the paper first proposes the manufacturing industry federation. The classification method of mechanical product assembly resources (manufacturing material resources) under the network environment; secondly, the hierarchical model, the whole model, the semantic model and the data model are constructed by the theory and method of ontology meta modeling and semantic modeling. Finally, based on the source task matching and the closed loop mapping mechanism, the manufacturing physical association is designed. The resource mapping and configuration framework can be used to implement the structured processing and encapsulation of the resource objects of the manufacture. (2) aiming at the multi-source heterogeneous data perception, integration and interaction of the mechanical product assembly system in the environment of the manufacturing industry, the data structure and coding structure of the resources are designed, and the multi-source heterogeneous data perception and integration frame is refined. (3) in order to realize the basic mode transformation of the system from centralized control to decentralized enhanced control, the system is abstracted as a set of objects consisting of a number of processes and independent assembly units. In the application mode of the manufacturing industry, the intelligent assembly unit of the mechanical product under the environment of the Internet of things in the manufacturing industry is put forward. The connotation and characteristics of the intelligent assembly unit are refined. The structure of the intelligent assembly unit, the running frame, the operation principle and the operation control chart are designed, and the realization method of the job control chart is studied. (4) 4) On the basis of forming assembly resource interconnection perception and integration, a kind of multi-layer dynamic optimization system is designed based on the functional hierarchy characteristics of assembly system. The complete set of dynamic optimization factors of assembly process is extracted and the dynamic optimization index calculation based on the entropy of physical product is constructed. In this model, a dynamic optimization model of assembly process based on real-time perception information is designed, which provides support for real-time analysis and dynamic optimization of mechanical product assembly process. Finally, the object oriented timed coloring Petri net and VisObjNet simulation technology are used to abstract, model and simulate the system, and the manufacturing industry IOT ring is developed. The prototype of the intelligent assembly system of mechanical products in the environment proves the feasibility and effectiveness of the proposed method.

【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2015
【分類號】：TH16;TP391.44;TN929.5
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本文編號：1894590