面向紡織智能制造的信息物理融合系統(tǒng)研究
本文選題:紡織智能制造 + 信息物理系統(tǒng) ; 參考:《東華大學(xué)》2017年碩士論文
【摘要】:紡織產(chǎn)業(yè)是我國(guó)國(guó)民經(jīng)濟(jì)的支柱產(chǎn)業(yè)和重要的民生產(chǎn)業(yè)。隨著智能制造與工業(yè)4.0的快速興起,紡織業(yè)的轉(zhuǎn)型升級(jí)變得迫在眉睫,實(shí)現(xiàn)紡織智能制造是必然趨勢(shì)。而無(wú)論是工業(yè)4.0還是智能制造,其核心均為信息物理系統(tǒng)(Cyber-Physical Systems,簡(jiǎn)稱(chēng)CPS)。因此,研究CPS對(duì)實(shí)現(xiàn)紡織智能制造具有重要的意義。紡織業(yè)實(shí)現(xiàn)信息物理系統(tǒng)面臨的幾個(gè)突出問(wèn)題有:1.紡織生產(chǎn)環(huán)境的復(fù)雜性與設(shè)備的特殊性,對(duì)數(shù)據(jù)采集和傳輸?shù)膶?shí)時(shí)和可靠性具有較高要求;2.紡織生產(chǎn)數(shù)據(jù)規(guī)模大,結(jié)構(gòu)多樣,實(shí)時(shí)處理要求高,導(dǎo)致傳統(tǒng)關(guān)系型數(shù)據(jù)庫(kù)無(wú)法進(jìn)行有效管理;3.如何將設(shè)備數(shù)據(jù)和生產(chǎn)數(shù)據(jù)有機(jī)結(jié)合,實(shí)現(xiàn)對(duì)生產(chǎn)狀態(tài)的全面分析。本文在分析紡織生產(chǎn)特殊性的基礎(chǔ)上,提出了改進(jìn)的主控同步CAN總線的多點(diǎn)實(shí)時(shí)數(shù)據(jù)傳輸策略,解決了紡織數(shù)據(jù)多節(jié)點(diǎn)傳輸過(guò)程中的沖突問(wèn)題,有效的提高了數(shù)據(jù)傳輸?shù)膶?shí)時(shí)性與可靠性;利用傳統(tǒng)數(shù)據(jù)庫(kù)與No SQL數(shù)據(jù)庫(kù)相結(jié)合,實(shí)現(xiàn)生產(chǎn)數(shù)據(jù)與設(shè)備數(shù)據(jù)的有機(jī)融合,最后通過(guò)實(shí)際系統(tǒng)的開(kāi)發(fā)實(shí)現(xiàn)了信息物理融合系統(tǒng)在織布制造過(guò)程中的應(yīng)用。論文的主要研究成果包括:1.給出了紡織智能制造的信息物理融合系統(tǒng)的架構(gòu)。分析了工業(yè)生產(chǎn)環(huán)境的特殊性基礎(chǔ)上,結(jié)合紡織生產(chǎn)的特點(diǎn),提出了改進(jìn)的主控同步CAN總線多點(diǎn)實(shí)時(shí)數(shù)據(jù)傳輸策略,解決了多節(jié)點(diǎn)數(shù)據(jù)環(huán)境下的數(shù)據(jù)傳輸?shù)膶?shí)時(shí)性與可靠性問(wèn)題,為信息物理系統(tǒng)的實(shí)現(xiàn)提供了可靠的保障。2.開(kāi)發(fā)了信息物理融合系統(tǒng)中信息物理采集模塊和主控控制模塊,對(duì)數(shù)據(jù)采集技術(shù)和改進(jìn)的主控同步CAN總線進(jìn)行深入研究,為信息物理融合系統(tǒng)在紡織智能制造上的應(yīng)用奠定了基礎(chǔ)。3.針對(duì)紡織工業(yè)數(shù)據(jù)的規(guī)模大、結(jié)構(gòu)復(fù)雜的特點(diǎn),利用SQL Server 2008和Mongo DB數(shù)據(jù)庫(kù)實(shí)現(xiàn)了對(duì)紡織大數(shù)據(jù)的存儲(chǔ)。針對(duì)采集到的紡織機(jī)的物理數(shù)據(jù)與生產(chǎn)數(shù)據(jù),采用引用鏈接的方式進(jìn)行關(guān)聯(lián),為實(shí)現(xiàn)對(duì)紡織機(jī)器的協(xié)調(diào)控制提供技術(shù)支持。最后,本文將相關(guān)研究成果在織布制造企業(yè)中進(jìn)行了應(yīng)用,開(kāi)發(fā)并實(shí)現(xiàn)了織布制造信息物理融合系統(tǒng)。結(jié)果表明,提出的基于主控同步CAN總線多點(diǎn)實(shí)時(shí)傳輸策略是正確有效的,數(shù)據(jù)的采集與傳輸更加實(shí)時(shí)可靠。系統(tǒng)的實(shí)際應(yīng)用為織布制造過(guò)程的智能化奠定了基礎(chǔ)。
[Abstract]:Textile industry is the pillar industry of our national economy and important industry of people's livelihood. With the rapid rise of intelligent manufacturing and industry 4.0, the transformation and upgrading of textile industry becomes urgent, and the realization of intelligent textile manufacturing is an inevitable trend. Whether industrial 4.0 or intelligent manufacturing, its core is the information physical systems (CPSs). Therefore, the study of CPS is of great significance to the realization of intelligent textile manufacturing. The textile industry implements the information physics system to face several outstanding questions is: 1. Because of the complexity of textile production environment and the particularity of equipment, the real time and reliability of data acquisition and transmission are very high. The textile production data scale is large, the structure is diverse, the real-time processing request is high, causes the traditional relational database to be unable to carry on the effective management. How to combine the equipment data with the production data to realize the overall analysis of the production state. On the basis of analyzing the particularity of textile production, this paper proposes an improved multi-point real-time data transmission strategy based on the master synchronous CAN bus, which solves the conflict problem in the process of textile data multi-node transmission. The real-time and reliability of data transmission is improved effectively, and the combination of traditional database and No SQL database is used to realize the organic integration of production data and equipment data. Finally, the application of information physical fusion system in weaving process is realized through the development of practical system. The main research results of this paper include: 1. The architecture of information physical fusion system for intelligent textile manufacturing is presented. Based on the analysis of the particularity of the industrial production environment and the characteristics of textile production, an improved multi-point real-time data transmission strategy based on the master synchronous CAN bus is proposed. The real-time and reliability problem of data transmission in multi-node data environment is solved, which provides a reliable guarantee for the realization of information physics system. The information physics acquisition module and the main control module in the information physics fusion system are developed. The data acquisition technology and the improved master control synchronous CAN bus are deeply studied. It lays a foundation for the application of information physics fusion system in textile intelligent manufacturing. In view of the large scale and complex structure of textile industry data, the storage of textile big data is realized by using SQL Server 2008 and Mongo DB database. Aiming at the physical data and production data of textile machine collected, the method of citation and link is used to correlate them, which provides technical support for the coordination and control of textile machine. Finally, this paper applies the related research results to the weaving manufacturing enterprises, and develops and implements the weaving manufacturing information physical fusion system. The results show that the proposed multi-point real-time transmission strategy based on master synchronous CAN bus is correct and effective, and the data acquisition and transmission is more real-time and reliable. The practical application of the system lays a foundation for the intelligentization of weaving process.
【學(xué)位授予單位】:東華大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TS103.7;TP278
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