中国智能再制造的现状与发展
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摘要
智能再制造作为再制造产业的创新发展方向,在先进再制造技术广泛应用的基础上,随着自动化技术、深度学习技术、大数据技术、网络技术和半导体技术的发展而逐渐成熟。文中基于新一代人工智能基础理论体系,以我国再制造发展过程的自动化产业升级为原点,从再制造产业体系及行业关键技术体系相结合的角度,系统阐述发展智能再制造的必要性、必然性和紧迫性,梳理了智能再制造的实现方式、技术体系以及发展目标,总结了智能再制造的总体框架和技术路线,提出了目前智能再制造发展所需解决的关键问题,并对智能再制造体系的建立及未来总体技术发展提出了展望。
As the direction of the innovative development in the remanufacturing industry, intelligent remanufacturing continues to become mature with the development of automation technology, deep learning technology, big data technology,network technology and semiconductor technology on the basis of the extensive application of advanced remanufacturing technology. Based on the undamental theory system of the new generation of artificial intelligence(AI), this paper takes the upgrade of automation industry in remanufacturing development process in China as the origin, and systematically illustrates the necessity, inevitability and urgency of developing intelligent remanufacturing from the perspective of macro remanufacturing industry system in combination with key technology systems in the industry. Additionally, it also sorts out the realization way, technical system and development goals of intelligent remanufacturing, sums up the overall framework and technical route of intelligent remanufacturing, and provides an outlook of the establishment of intelligent remanufacturing system and the development of overall technology in the future.
As the direction of the innovative development in the remanufacturing industry, intelligent remanufacturing continues to become mature with the development of automation technology, deep learning technology, big data technology,network technology and semiconductor technology on the basis of the extensive application of advanced remanufacturing technology. Based on the undamental theory system of the new generation of artificial intelligence(AI), this paper takes the upgrade of automation industry in remanufacturing development process in China as the origin, and systematically illustrates the necessity, inevitability and urgency of developing intelligent remanufacturing from the perspective of macro remanufacturing industry system in combination with key technology systems in the industry. Additionally, it also sorts out the realization way, technical system and development goals of intelligent remanufacturing, sums up the overall framework and technical route of intelligent remanufacturing, and provides an outlook of the establishment of intelligent remanufacturing system and the development of overall technology in the future.
引文
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[3]中国工程院.中国智能制造发展战略研究报告[R].2017.12.
[4]Executive Office of the President National Science and Technology Council Committee on Technology.Preparing for the future of artificial intelligence[R].2016.
[5]Executive Office of the President National Science and Technology Council Committee on Technology.The national artificial intelligence research and development strategic plan[R].2016.
[6]黄群.德国2020高科技战略:创意·创新·增长[J].科技导报,2011,29(8):15-21.HUANG Q.2020 High-tech strategy for german:idea innovation growth[J].Science&Technology Review,2011,29(8):15-21(in Chinese).
[7]Science O F.Artificial intelligence:opportunities and implications for the future of decision making[R].2016.
[8]李雅文.法国政府推进《人工智能战略》[EB/OL].https://mp.weixin.qq.com/s?__biz=MzA4NDc3MDUzNQ==&idx1&mid506668917&sn64d68ff1dd4208331b9cd0b861b4fe3b,2017,05.
[9]BASSLER J,BODIFORD M,HAMMOND M,et al.In Situ Fabrication and Repair(ISFR)Technologies;New Challenges for Exploration[C]//Aiaa Aerospace Sciences Meeting and Exhibit.2013.
[10]Ministry of Industry,Business and Financial Affairs.New strategy to make denmark the new digital frontrunner[R].2018.01.
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[12]倪立斌,刘继常,伍耀庭,等.基于神经网络和粒子群算法的激光熔覆工艺优化[J].中国激光,2011,38(2):93-98.NI L B,LIU J C,WU Y T,et al.Optimization of laser cladding process variables based on neural network and particle swarm optimization algorithms[J].Chinese Journal of Lasers,2011,38(2):93-98(in Chinese).
[13]杨理践,马凤铭,高松巍.基于神经网络及数据融合的管道缺陷定量识别[J].无损检测,2006,28(6):281-284.YANG L J,MA F M,GAO S W.Quantitative recognition of pipeline defects based on neural network and data fusion[J].Nondestructive Testing,2006,28(6):281-284(in Chinese).
[14]王国花.中国古代智能观与智能测验[J].太原学院学报(社会科学版),2007,8(4):99-101.WANG G H.Ancient Chinese intelligence and intelligencetests[J].Journal of Taiyuan University,2007,8(4):99-101(in Chinese).
[15]闻邦椿,周知承,韩清凯,等.现代机械产品设计在新产品开发中的重要作用--兼论面向产品总体质量的“动态优化、智能化和可视化”三化综合设计法[J].机械工程学报,2003,39(10):43-52.WEN B C,ZHOU Z C,HAN Q K,et al.The important role of modern mechanical product design in new product development-concurrently on the three integrated design method of"dynamic optimization,intellectualization and visualization"for product overall quality[J].Journal of Mechanical Engineering,2003,39(10):43-52(in Chinese).
[16]徐滨士,董世运,朱胜,等.再制造成形技术发展及展望[J].机械工程学报,2012,48(15):96-105.XU B S,DONG S Y,ZHU S,et al.Prospects and developing of remanufacture forming technology[J].Journal of Mechanical Engineering,2012,48(15):96-105(in Chinese).
[17]徐滨士.中国再制造工程及其进展[J].中国表面工程,2010,23(2):1-6.XU B S.Remanufacture engineering and its development in China[J].China Surface Engineering,2010,23(2):1-6(in Chinese).
[18]周克崧,杨大君,王德政.低压等离子喷涂设备、工艺及应用[J].中国表面工程,1991,4(4):1-4.ZHOU K S,YANG D J,WANG D Z.Low-pressure plasma spraying equipment,process and application[J].China Surface Engineering,1991,4(4):1-4(in Chinese).
[19]董世运,徐滨士,马世宁.纳米颗粒复合刷镀层性能研究及其强化机制探讨[J].中国表面工程,2003,16(3):17-21.DONG S Y,XU B S,MA S N.Properties of electro-brush plated nanoparticle reinforced composite coatings and their strengthening mechanism[J].China Surface Engineering,2003,16(3):17-21(in Chinese).
[20]涂伟毅,徐滨士,董世运,等.纳米陶瓷颗粒的电催化效应及其在复合刷镀层中的化学状态[J].无机化学学报,2005,21(8):1137-1142.TU W Y,XU B S,DONG S Y,et al.Electrocatalytic effect of ceramic nanoparticles and chemical binding interaction between nanoparticles and matrix metal in composite coating[J].Chinese Journal of Inorganic Chemistry,2005,21(8):1137-1142(in Chinese).
[21]WU B,XU B S,ZHANG B,et al.Preparation and properties of Ni/nano-Al2O3,composite coatings by automatic brush plating[J].Surface&Coatings Technology,2007,201(16/17):6933-6939.
[22]XU B,ZHU Z,MA S,et al.Sliding wear behavior of Fe-Al and Fe-Al/WC coatings prepared by high velocity arc spraying[J].Wear,2004,257(11):1089-1095.
[23]LV Y H,XU B S,XIANG Y H,et al.Plasma transferred arc powder surfacing technology of thrust face[J].Key Engineering Materials,2008,373-374:43-46.
[24]徐滨士,董世运.激光再制造[M].北京:国防工业出版社,2016.XU B S,DONG S Y.Laser remanufacturing[M].Beijing:National Defense Industry Press,2016(in Chinese).
[25]中国机械工程学会再制造工程分会.再制造技术路线图[M].北京:中国科学技术出版社,2016.Remanufacturing Engineering Institute of Chinese Mechanical Engineering Society.Remanufacturing technology roadmaps[M].Beijing:China Science and Technology Press,2016(in Chinese).
[26]徐滨士.新时代中国特色再制造的创新发展[J].中国表面工程,2018,31(1):1-6.XU B S.Innovation and development of remanufacturing with chinese characteristics for a new era[J].China Surface Engineering,2018,31(1):1-6(in Chinese).
[27]李媛.中国首台“再制造”盾构机完成地铁隧道洞通[J].中国建材,2016(4):83-83.LI Y.China's first"remanufactured"shield machine completes tunnel crossing in subway tunnels[J].China Building Materials,2016(4):83-83(in Chinese).
[28]AKOPYAN F.Design and tool flow of IBM's truenorth:an ultra-low power programmable neurosynaptic chip with 1million neurons[C].Proceedings of the 2016 on International Symposium on Physical Design,2016:59-60.
[29]中华人民共和国国务院.国务院关于印发新一代人工智能发展规划的通知[A/OL]http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm,2017-07-20.
[30]徐滨士,马世宁,刘世参,等.绿色再制造工程设计基础及其关键技术[J].中国表面工程,2001,14(2):12-15.XU B S,MA S N,LIU S C,et al.Design foundation and key technologies of green remanufacturing engineering[J].China Surface Engineering,2001,14(2):12-15(in Chinese).
[31]朱胜,周超极.面向“中国制造2025”的增材再制造技术[J].热喷涂技术,2016,8(3):1-4.ZHU S,ZHOU C J.Additive remanufacturing for"made in China 2025"[J].Thermal Spray Technology,2016,8(3):1-4(in Chinese).
[32]吉小超,张伟,于鹤龙,等.面向机电产品再制造的绿色清洗技术研究进展[J].材料导报,2012,26(s2):114-117.JI X C,ZHANG W,YU H L,et al.Research progress of the green cleaning technologies in the remanufacturing of mechanical and electrical products[J].Materials Review,2012,26(s2):114-117(in Chinese).
[33]崔培枝,姚巨坤.再制造清洗工艺与技术[J].新技术新工艺,2009(3):25-28.CUI P Z,YAO J K.Process and technoloies of remanufacture[J].New Technology&New Process,2009(3):25-28(in Chinese).
[34]任工昌,于峰海,陈红柳.绿色再制造清洗技术的现状及发展趋势研究[J].机床与液压,2014,42(3):158-161.REN G C,YU F H,CHEN H L.Present situation and development trend of green remanufacturing cleaning technology[J].Machine Tool&Hydraulics,2014,42(3):158-161(in Chinese).
[35]史佩京,徐滨士,刘世参,等.面向装备再制造工程的可拆卸性设计[J].装甲兵工程学院学报,2007,21(5):12-15.SHI P J,XU B S,LIU S C,et al.Equipment remanufacture engineering oriented detachability design[J].Journal of Academy of Armored Force Engineering,2007,21(5):12-15(in Chinese).
[36]刘继伟.基于大数据的多尺度状态监测方法及应用[D].北京:华北电力大学,2013.LIU J W.Multi-scale condition monitoring method based on big data and its application[D].Beijing:North China Electric Power University,2013(in Chinese).
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