本文選題：紡織智能制造 + 信息物理系統(tǒng)�。� 參考：《東華大學》2017年碩士論文

【摘要】：紡織產業(yè)是我國國民經濟的支柱產業(yè)和重要的民生產業(yè)。隨著智能制造與工業(yè)4.0的快速興起,紡織業(yè)的轉型升級變得迫在眉睫,實現(xiàn)紡織智能制造是必然趨勢。而無論是工業(yè)4.0還是智能制造,其核心均為信息物理系統(tǒng)(Cyber-Physical Systems,簡稱CPS)。因此,研究CPS對實現(xiàn)紡織智能制造具有重要的意義。紡織業(yè)實現(xiàn)信息物理系統(tǒng)面臨的幾個突出問題有:1.紡織生產環(huán)境的復雜性與設備的特殊性,對數(shù)據(jù)采集和傳輸?shù)膶崟r和可靠性具有較高要求;2.紡織生產數(shù)據(jù)規(guī)模大,結構多樣,實時處理要求高,導致傳統(tǒng)關系型數(shù)據(jù)庫無法進行有效管理;3.如何將設備數(shù)據(jù)和生產數(shù)據(jù)有機結合,實現(xiàn)對生產狀態(tài)的全面分析。本文在分析紡織生產特殊性的基礎上,提出了改進的主控同步CAN總線的多點實時數(shù)據(jù)傳輸策略,解決了紡織數(shù)據(jù)多節(jié)點傳輸過程中的沖突問題,有效的提高了數(shù)據(jù)傳輸?shù)膶崟r性與可靠性;利用傳統(tǒng)數(shù)據(jù)庫與No SQL數(shù)據(jù)庫相結合,實現(xiàn)生產數(shù)據(jù)與設備數(shù)據(jù)的有機融合,最后通過實際系統(tǒng)的開發(fā)實現(xiàn)了信息物理融合系統(tǒng)在織布制造過程中的應用。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。分析了工業(yè)生產環(huán)境的特殊性基礎上,結合紡織生產的特點,提出了改進的主控同步CAN總線多點實時數(shù)據(jù)傳輸策略,解決了多節(jié)點數(shù)據(jù)環(huán)境下的數(shù)據(jù)傳輸?shù)膶崟r性與可靠性問題,為信息物理系統(tǒng)的實現(xiàn)提供了可靠的保障。2.開發(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,對數(shù)據(jù)采集技術和改進的主控同步CAN總線進行深入研究,為信息物理融合系統(tǒng)在紡織智能制造上的應用奠定了基礎。3.針對紡織工業(yè)數(shù)據(jù)的規(guī)模大、結構復雜的特點,利用SQL Server 2008和Mongo DB數(shù)據(jù)庫實現(xiàn)了對紡織大數(shù)據(jù)的存儲。針對采集到的紡織機的物理數(shù)據(jù)與生產數(shù)據(jù),采用引用鏈接的方式進行關聯(lián),為實現(xiàn)對紡織機器的協(xié)調控制提供技術支持。最后,本文將相關研究成果在織布制造企業(yè)中進行了應用,開發(fā)并實現(xiàn)了織布制造信息物理融合系統(tǒng)。結果表明,提出的基于主控同步CAN總線多點實時傳輸策略是正確有效的,數(shù)據(jù)的采集與傳輸更加實時可靠。系統(tǒng)的實際應用為織布制造過程的智能化奠定了基礎。
[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.
【學位授予單位】：東華大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TS103.7;TP278

【參考文獻】

相關期刊論文 前10條

1 陳振;邢明杰;;淺析我國紡織制造業(yè)現(xiàn)狀與產業(yè)升級建議[J];棉紡織技術;2016年04期

2 本刊綜合;;中國制造2025:點燃工業(yè)強國夢[J];發(fā)明與創(chuàng)新(大科技);2015年07期

3 劉云柏;;互聯(lián)網(wǎng)思維下的智能制造構成和應用與意義[J];電子產品可靠性與環(huán)境試驗;2015年03期

4 吳迪;;把握行業(yè)特點 大力推進紡織智能制造[J];紡織服裝周刊;2015年20期

5 初燎原;;大數(shù)據(jù)時代的信息安全[J];中國黨政干部論壇;2015年03期

6 馬薇;;紡織業(yè)將加速推進工業(yè)4.0建設[J];紡織機械;2015年01期

7 李士寧;羅國佳;;工業(yè)物聯(lián)網(wǎng)技術及應用概述[J];電信網(wǎng)技術;2014年03期

8 衛(wèi)小鵑;;紡織服裝行業(yè)的現(xiàn)狀及分析[J];山東紡織經濟;2013年12期

9 馬愛民;胡sッ，

本文編號：1894194