印染需求智能分析系统的设计与实现
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摘要
随着"工业4.0"概念的提出和实施以及C2M互联网商业模式的兴起,传统纺织行业正面临着向智能化、服务化转型的难题。本文将传统纺织印染行业与网络信息技术相结合,以报价服务为切入点,应用深度学习以及有限状态自动机理论,基于微服务架构,设计了一套印染需求智能分析系统。为纺织企业的印染报价服务提供了一套高效、智能的解决方案。
With the introduction and implementation of the"Industry 4.0"and the rise of the Customer-to-Manufactory Internet business model,the traditional textile industry is facing the challenge of transforming into being intelligent and service-oriented. This paper combines the traditional textile dyeing industry with network information technology,taking the quotation service as the entry point,applying deep learning and the finite-state machine theory,and designs the Intelligent Analysis System For Dyeing Requirements based on microservice architecture. It provides an efficient and intelligent solution for the dyeing quotation service of textile companies.
With the introduction and implementation of the"Industry 4.0"and the rise of the Customer-to-Manufactory Internet business model,the traditional textile industry is facing the challenge of transforming into being intelligent and service-oriented. This paper combines the traditional textile dyeing industry with network information technology,taking the quotation service as the entry point,applying deep learning and the finite-state machine theory,and designs the Intelligent Analysis System For Dyeing Requirements based on microservice architecture. It provides an efficient and intelligent solution for the dyeing quotation service of textile companies.
引文
[1]SIPSER M. Introduction to the theory of computation[M]. 3rded.USA:Cengage Learning,2012.
[2]FAMILIAR B. Microservice architecture[M]//Microservices,IoT,and Azure. Berkeley,CA:Apress,2015:21-31.
[3]SRIRAM A,JUN H,SATHEESH S,et al. Cold fusion:Training Seq2Seq models together w ith language models[J]. ar Xiv preprint ar Xiv:1708.06426,2017.
[4] LIU Tianyu,WANG Kexiang,SHA Lei,et al. table-to-text generation by structure-aw are Seq2seq learning[J]. ar Xiv preprint ar Xiv:1711.09724,2017.
[5] DENG Li,YU Dong. Deep learning:Methods and applications[J]. Hanover,MA,USA:Now Publishers Inc.,2014.
[6]张曙.工业4.0和智能制造[J].机械设计与制造工程,2014,43(8):1-5.
[7] GERS F A,SCHMIDHUBER J,CUMMINS F. Learning to forget:Continual prediction w ith LSTM[J]. Neural Computation,2000,12(10):2451-2471.
[8] GRISHMAN R. Information extraction[M]//MITKOV R. The Oxford Handbook of Computational Linguistics. New York:Oxford University Press,2003:545-559.
[9]李向阳,苗壮.自由文本信息抽取技术[J].情报科学,2004,22(7):815-821.
[10]HOLTGRAVES T,HAN Tailin. A procedure for studying online conversational processing using a chat bot[J]. Behavior Research M ethods,2007,39(1):156-163.
[11]BRAND D,ZAFIROPULO P. On communicating finite-state machines[J]. Journal of the ACM,1983,30(2):323-342.
[12]刘晓慧,郑广泽. C2M模式下服装智能个性化定制的优势及发展[J].服装学报,2016,1(5):477-481.
[13]李晗.面向个性化定制的智慧服装生态系统若干问题研究[D].北京:北京交通大学,2017.
[14]贾艳玲,郭伟,李瑞华.纺织企业实施大规模定制生产模式的研究[J].纺织科学研究,2005(4):36-40.
[15]曾婷婷,李辉.面向电子商务的产品报价系统研究与设计[J].微计算机信息,2008,24(30):137-138,136.
[16]徐广林,林贡钦.工业4.0背景下传统制造业转型升级的新思维研究[J].上海经济研究,2015(10):107-113.
[2]FAMILIAR B. Microservice architecture[M]//Microservices,IoT,and Azure. Berkeley,CA:Apress,2015:21-31.
[3]SRIRAM A,JUN H,SATHEESH S,et al. Cold fusion:Training Seq2Seq models together w ith language models[J]. ar Xiv preprint ar Xiv:1708.06426,2017.
[4] LIU Tianyu,WANG Kexiang,SHA Lei,et al. table-to-text generation by structure-aw are Seq2seq learning[J]. ar Xiv preprint ar Xiv:1711.09724,2017.
[5] DENG Li,YU Dong. Deep learning:Methods and applications[J]. Hanover,MA,USA:Now Publishers Inc.,2014.
[6]张曙.工业4.0和智能制造[J].机械设计与制造工程,2014,43(8):1-5.
[7] GERS F A,SCHMIDHUBER J,CUMMINS F. Learning to forget:Continual prediction w ith LSTM[J]. Neural Computation,2000,12(10):2451-2471.
[8] GRISHMAN R. Information extraction[M]//MITKOV R. The Oxford Handbook of Computational Linguistics. New York:Oxford University Press,2003:545-559.
[9]李向阳,苗壮.自由文本信息抽取技术[J].情报科学,2004,22(7):815-821.
[10]HOLTGRAVES T,HAN Tailin. A procedure for studying online conversational processing using a chat bot[J]. Behavior Research M ethods,2007,39(1):156-163.
[11]BRAND D,ZAFIROPULO P. On communicating finite-state machines[J]. Journal of the ACM,1983,30(2):323-342.
[12]刘晓慧,郑广泽. C2M模式下服装智能个性化定制的优势及发展[J].服装学报,2016,1(5):477-481.
[13]李晗.面向个性化定制的智慧服装生态系统若干问题研究[D].北京:北京交通大学,2017.
[14]贾艳玲,郭伟,李瑞华.纺织企业实施大规模定制生产模式的研究[J].纺织科学研究,2005(4):36-40.
[15]曾婷婷,李辉.面向电子商务的产品报价系统研究与设计[J].微计算机信息,2008,24(30):137-138,136.
[16]徐广林,林贡钦.工业4.0背景下传统制造业转型升级的新思维研究[J].上海经济研究,2015(10):107-113.