本文選題：機(jī)床裝備 + 云制造�。� 參考：《重慶大學(xué)》2015年博士論文

【摘要】：機(jī)床裝備制造企業(yè)、應(yīng)用企業(yè)及其服務(wù)企業(yè)量大面廣,是我國(guó)工業(yè)經(jīng)濟(jì)的重要組成部分。隨著云計(jì)算、大數(shù)據(jù)、物聯(lián)網(wǎng)及移動(dòng)互聯(lián)網(wǎng)等信息技術(shù)與先進(jìn)制造技術(shù)的深度融合應(yīng)用,網(wǎng)絡(luò)化、智能化、綠色化、服務(wù)化等已成為機(jī)床裝備行業(yè)的重要發(fā)展方向。廣大機(jī)床裝備制造企業(yè)在應(yīng)對(duì)日益激烈的全球化競(jìng)爭(zhēng)過(guò)程中,正逐步從傳統(tǒng)機(jī)床裝備制造商、銷售商向智能生產(chǎn)線整體解決方案提供商、裝備全生命周期服務(wù)商方向轉(zhuǎn)型;機(jī)床裝備應(yīng)用企業(yè)在優(yōu)化精益生產(chǎn)能力、快速響應(yīng)市場(chǎng)需求的過(guò)程中,對(duì)機(jī)床裝備網(wǎng)絡(luò)化集成運(yùn)行、加工過(guò)程實(shí)時(shí)監(jiān)控與診斷等基于網(wǎng)絡(luò)的協(xié)同制造服務(wù)提出了迫切的需求。如何創(chuàng)新制造服務(wù)模式,實(shí)現(xiàn)企業(yè)資源的充分共享和跨域協(xié)作,以支持廣大機(jī)床裝備企業(yè)開(kāi)展生產(chǎn)性服務(wù)業(yè)務(wù),已成為當(dāng)前先進(jìn)制造領(lǐng)域探索和研究的重要科學(xué)命題之一。云制造——一種基于泛在網(wǎng)絡(luò)的智慧制造模式,可支持分散資源的集中管理,集中資源的按需服務(wù),其“制造即服務(wù)”的核心思想為以上問(wèn)題提供了嶄新的解決思路。論文在借鑒國(guó)內(nèi)外相關(guān)研究成果的基礎(chǔ)上,針對(duì)機(jī)床裝備企業(yè)間的資源共享和業(yè)務(wù)協(xié)同需求,結(jié)合云制造的服務(wù)理念,提出一種機(jī)床裝備資源優(yōu)化配置云服務(wù)平臺(tái),并對(duì)其所涉及的部分關(guān)鍵技術(shù)進(jìn)行一定的探索和研究。首先,分析了傳統(tǒng)機(jī)床裝備企業(yè)的轉(zhuǎn)型發(fā)展需求,結(jié)合云制造相關(guān)理論,提出了一種可支持機(jī)床裝備資源語(yǔ)義描述、服務(wù)封裝、搜索匹配、優(yōu)化配置與運(yùn)行監(jiān)控的機(jī)床裝備資源優(yōu)化配置云服務(wù)平臺(tái),論述了平臺(tái)實(shí)現(xiàn)思路,研究了平臺(tái)的體系結(jié)構(gòu)、運(yùn)行模式和商業(yè)模式,并建立了支持平臺(tái)實(shí)現(xiàn)的關(guān)鍵技術(shù)體系。然后,根據(jù)平臺(tái)總體框架,對(duì)其涉及的部分關(guān)鍵技術(shù)進(jìn)行了探索和研究,包括:①針對(duì)云制造環(huán)境下機(jī)床裝備資源具有異質(zhì)異構(gòu)、動(dòng)態(tài)演化、高度自治等特點(diǎn)及規(guī)范化描述需求,研究了一種基于Web服務(wù)建模本體(Web Service Modeling Ontology,WSMO)的機(jī)床裝備資源語(yǔ)義描述與封裝方法,包括:提出了一種基于WSMO的機(jī)床裝備資源語(yǔ)義描述與封裝實(shí)現(xiàn)框架;研究了機(jī)床裝備資源元數(shù)據(jù)本體表示方法和機(jī)床裝備資源服務(wù)化封裝技術(shù),并結(jié)合一機(jī)床裝備資源實(shí)例驗(yàn)證了該方法的可行性。②針對(duì)云制造環(huán)境下機(jī)床裝備資源種類多樣、功能相似、信息動(dòng)態(tài)變化等特點(diǎn)導(dǎo)致搜索匹配效率和精度不高的問(wèn)題,以形成資源優(yōu)化配置可行解域?yàn)槟繕?biāo),研究了一種基于語(yǔ)義的機(jī)床裝備資源供需匹配方法。提出了一種包括基本信息匹配、IOPE參數(shù)匹配、QoS屬性匹配和綜合匹配的機(jī)床裝備資源分級(jí)匹配實(shí)現(xiàn)框架,研究了各匹配階段的量化方法及實(shí)現(xiàn)算法,并結(jié)合實(shí)例驗(yàn)證該方法的適用性。③針對(duì)云制造環(huán)境下服務(wù)制約因素多、制造環(huán)境變化快、資源配置評(píng)價(jià)難度較大等特點(diǎn),為獲得資源優(yōu)化配置最優(yōu)解,提出了包括服務(wù)時(shí)間(T)、服務(wù)成本(C)、服務(wù)質(zhì)量(Q)、服務(wù)知識(shí)(K)、服務(wù)環(huán)境(E)、服務(wù)可靠性(R)、服務(wù)容錯(cuò)性(Ft)和綜合滿意度(Sa)等八維分量的機(jī)床裝備資源優(yōu)化配置評(píng)價(jià)指標(biāo)體系,構(gòu)建了一種基于Multi-Agent的機(jī)床裝備資源配置評(píng)價(jià)模型,設(shè)計(jì)了基于混合粒子群的模型求解算法,并結(jié)合一實(shí)例驗(yàn)證了該配置評(píng)價(jià)模型和求解算法的有效性。最后,結(jié)合國(guó)家863/CIMS主題資助項(xiàng)目“中小企業(yè)云制造服務(wù)平臺(tái)共性關(guān)鍵技術(shù)研究”的實(shí)施,設(shè)計(jì)并開(kāi)發(fā)了一套機(jī)床裝備資源優(yōu)化配置云服務(wù)平臺(tái)原型系統(tǒng),并在重慶市某機(jī)床裝備企業(yè)中進(jìn)行了初步應(yīng)用驗(yàn)證,取得了良好的應(yīng)用效果。
[Abstract]:Machine tools and equipment manufacturing enterprises, application enterprises and their service enterprises are an important part of China's industrial economy. With the deep integration of information technology and advanced manufacturing technology, such as cloud computing, large data, Internet of things and mobile Internet, network, intelligence, green, service and so on have become the emphasis of machine tools and equipment industries. In order to develop the direction, the large machine tool and equipment manufacturing enterprises are gradually changing from the traditional machine tool equipment manufacturer, the seller to the overall solution provider of the intelligent production line and the whole life cycle service provider in the process of responding to the increasingly fierce global competition; the machine tool and equipment enterprises are optimizing the lean production capacity and responding quickly. In the process of market demand, there is an urgent need for the networked integrated operation of machine tool equipment, the real-time monitoring and diagnosis of processing process and the cooperative manufacturing service based on the network. How to innovate the manufacturing service mode, realize the full sharing of enterprise resources and cross domain cooperation, so as to support the production service business of the large machine tools and equipment enterprises, It has become one of the important scientific propositions in the field of advanced manufacturing field. Cloud manufacturing, an intelligent manufacturing model based on ubiquitous network, can support centralized management of scattered resources and focus on the demand for resources. The core idea of "manufacturing as a service" provides a new solution to the problem. On the basis of the relevant research results both at home and abroad, in view of the resource sharing and business synergy demand among the machine tools and equipment enterprises and the service concept of cloud manufacturing, a cloud service platform for machine tool resources optimization is proposed, and some key technologies involved are explored and studied. First, the traditional machine tool assembly is analyzed. In order to meet the needs of enterprises' transformation and development, combined with the theory of cloud manufacturing, a cloud service platform which can support the semantic description of machine tool resources, service encapsulation, search and match, optimization configuration and operation monitoring is proposed. The implementation ideas of the platform are discussed, and the system structure, operation mode and business model of the platform are discussed. And then, the key technology system for supporting platform implementation is established. Then, according to the overall framework of the platform, some key technologies involved are explored and studied, including: (1) the characteristics of heterogeneous, dynamic evolution, high self governance and standardized description requirements for machine tool resources under the cloud manufacturing environment, and a research based on We B service modeling Ontology (Web Service Modeling Ontology, WSMO) for the semantic description and encapsulation of machine tool resources, including a framework for semantic description and encapsulation of machine tool resources based on WSMO, the ontology representation method of machine tool resource metadata and the service encapsulation technology of machine tool resources, and the integration of machine tools and equipment resources. An example of machine tool resources proves the feasibility of this method. Secondly, in view of the variety of machine tool resources, similar functions and dynamic changes of information in the cloud manufacturing environment, the search matching efficiency and precision are not high, in order to form the feasible solution domain of the resource optimization configuration, a semantic based machine tool equipment capital is studied. Source supply and demand matching method. A framework for classification and matching of machine tool resources including basic information matching, IOPE parameter matching, QoS attribute matching and comprehensive matching is proposed. The quantization methods and implementation algorithms of each matching phase are studied, and the applicability of the method is verified by an example. Thirdly, the service constraints in cloud manufacturing environment are verified. In order to obtain optimal solution for optimal allocation of resources, the advantages of eight dimensions of eight dimension components, including service time (C), service quality (Q), service knowledge (K), service environment (E), service reliability (R), service fault tolerance (Ft) and comprehensive satisfaction (Sa), are proposed. In this paper, the evaluation model of machine tool resources based on Multi-Agent is constructed, and a model solving algorithm based on mixed particle swarm is designed, and the effectiveness of the allocation evaluation model and the algorithm is verified by an example. Finally, combined with the national 863/CIMS theme subsidized project "the cloud manufacturing of small and medium enterprises" The implementation of the research on the common key technology of the service platform, designed and developed a set of prototype system for the optimization configuration of the machine tool resources, and carried out preliminary application and verification in a machine tool enterprise in Chongqing, and achieved good application results.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TG502

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