服装超柔性制造模式的构建
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摘要
柔性生产是服装制造业创新转型的必要方向,以新一代信息技术与制造业深度融合发展为前提,依据柔性生产的主要内容和特征,提出实现服装超柔性制造模式的构建必须依照智能制造等级分模块化进行.通过服装产品模块化和服装生产工位模块化,构建动态模块化生产单元,形成无固定流水线的生产调度模型,实现智能化的超柔性制造模式,进而从智能决策层、制造执行层和装备执行层三个方面形成一个完善的人机共融的智能制造空间.
Flexible manufacture is the necessary direction of innovation and transformation of garment manufacturing industries.According to the deep integration development of new generation information technology and manufacturing industry,the main content and characteristics of flexible manufacture,it is proposed that the construction of super flexible manufacture mode must be modularized according to the evaluation of intelligent manufacturing grade.Through the modularization of garment products and the modularization of garment production workstations,a dynamic modular production unit is designed to form a production scheduling without a fixed pipeline and an intelligent super-flexible manufacture mode is realized.Then a perfect human-machine integration intelligent mechanism is formed from intelligent decisionmaking layer,manufacturing execution layer and equipment execution layer three aspects.
Flexible manufacture is the necessary direction of innovation and transformation of garment manufacturing industries.According to the deep integration development of new generation information technology and manufacturing industry,the main content and characteristics of flexible manufacture,it is proposed that the construction of super flexible manufacture mode must be modularized according to the evaluation of intelligent manufacturing grade.Through the modularization of garment products and the modularization of garment production workstations,a dynamic modular production unit is designed to form a production scheduling without a fixed pipeline and an intelligent super-flexible manufacture mode is realized.Then a perfect human-machine integration intelligent mechanism is formed from intelligent decisionmaking layer,manufacturing execution layer and equipment execution layer three aspects.
引文
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[3]王友发,周献中.国内外智能制造研究热点与发展趋势[J].中国科技论,2016(4):154-159.WANG Y F,ZHOU X Z.A review of research on domestic and international intelligent manufacturing[J].China Science and Technology Theory,2016(4):154-159.(in Chinese)
[4]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.ZHANG S.The industrial 4.0and intelligent manufacturing[J].Mechanical Design and Manufacturing Engineering,2014,43(8):1-5.(in Chinese)
[5]顾新建,郑国君,朱万贵,等.面向大批量定制生产的模块化制造系统[J].组合机床与自动化加工技术,2003(1):1-3.GU X J,ZHENG G J,ZHU W G,et al.The modular production system for mass customization[J].Modular Machine Tool and Automated Manufacturing Technigue,2003(1):1-3.(in Chinese)
[6]杜宝瑞,王勃,赵璐,等.智能制造系统及其层级模型[J].航空制造技术,2015,482(13):46-50.DU B R,WANG B,ZHAO L,et al.Intelligent manufacturing system and its hierarchical model[J].Aviation Manufacturing Technology,2015,482(13):46-50.(in Chinese)
[7]闻力生.服装企业智能制造的实践[J].纺织高校基础科学学报,2017,31(4):468-474.WEN L S.Practice of intelligent manufacturing in garment enterprises[J].Basic Sciences Journal of Textile Universities,2017,31(4):468-474.(in Chinese)
[8]杨璨,张皋鹏.模块化设计方法在GMC中的应用研究[J].武汉轻工大学学报,2016,35(2):87-91.YANG C,ZHANG G P.Preliminary stydy on the garment structure modularization for mass customization[J].Journal of Wuhan Polytechnic Industry University,2016,35(2):87-91.(in Chinese)
[9]柳祖国,李世其,李作清.增强现实技术的研究进展及应用[J].系统仿真学报,2003,15(2):222-225.LIU Z G,LI S Q,LI Z Q.Development and application of augmented reality[J].Journal of System Simulation,2003,15(2):222-225.(in Chinese)
[10] BURDEA G C,COIFFET P.Virtual reality technology[M].Beijing:Publishing House of Electronics Industry,2005.
[11]朱杰杰,潘志庚.用视觉计算实现视频增强现实遮挡处理[J].计算机辅助设计与图形学学报,2007,19(12):1624-1628.ZHU J J,PAN Z G.Computer video based ocelusion handling algorithm for vido-based augmented reality[J].Journal of Computer Aided Design and Computer Graphics,2007,19(12):1624-1628.(in Chinese)
[12]倪剑,闫达远,周雅,等.增强现实系统中的深度检测技术研究[J].计算机应用,2006,26(1):132-134.NI J,YAN D Y,ZHOU Y,et al.Depth detectingusing stereo scope for AR systems[J].Journal of Computer Application,2006,26(1):132-134.(in Chinese)
[13]潘振宽,李建波.基于压缩的AABB树的碰撞检测算法[J].计算机科学,2005,32(2):213-215.PAN Z K,LI J B.The collision detection algorithm based on compressed ABBB trees[J].Computer Science,2005,32(2):213-215.(in Chinese)
[14] SCHENEIDER P J,EBERLY D H.Geometric tools for computer graphics[M].Beijing:Electronics Industry Press,2005.