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AR for maintenance of complex engineering systems

已浏览:次 文/图: 更新日期:2017年05月09日

报告题目:AR for maintenance of complex engineering systems

报告人:Andrew Y.C. Nee教授(新加坡国立大学)
报告时间:2017.5.18(星期四)下午3:00
报告地点:绣山工程楼208室

 

报告简介:

Augmented reality (AR) has been developed since the late 1980s and in the last 30 years, there are many applications spanning fields from medical, gaming, learning, advertising, movie making to engineering. AR has recently been applied to maintenance of complex engineering systems such as aerospace engines, military vehicles, chemical plants, etc. Instead of using heavy head-mounted devices (HMDs), tablets, mobiles and Google glasses have been popularly used. Information such as text, video, animation, voice, etc. can be overlaid on real scenes providing instructions and guidelines for maintenance tasks. Laboratory prototypes have shown that AR can provide intuitive and satisfactory results for the maintenance operators, reducing their cognitive load, head movements for referencing manuals, and offers a more intuitive environment. Several applications have been reported on aircraft maintenance operations, e.g. aircraft engines. Service technicians can also consult remote experts for providing necessary advice. Speech-enabled AR is even more exciting as components and devices can be made to communicate with the technicians, providing them with their state-of-health. Psychomotor studies can help reduce operator fatigue and provide the best posture to reduce the physical strain while operating on complex maintenance tasks. A prototype AR-assisted maintenance system developed at the National University of Singapore provides a bi-directional authoring system between a technician and an expert. Both text and graphics information, including video and animation can be used to instruct the technician. Future research issues include ergonomic studies of the maintenance process such as the estimation of cognition load and fatigue of operators, measurement of comfort and safety, reliability and risk assessment, etc. Cost and time analysis and comparison with traditional practices is important to justify the use of AR. Real-time data capture and updating using cloud technology is another potential area to be addressed. 

报告人简介:

倪亦靖教授,英国曼彻斯特理工大学哲学博士和工学博士,新加坡国立大学教授,国际期刊 International Journal of Advanced Manufacturing Technology (Springer)主编,曾担任新加坡国立大学工学院院长,机械工程系主任等职,2011-2012年担任国际生产工程科学院(CIRP)的主席。

倪教授是新加坡以至于国际范围内制造领域的引领者。他在模具与夹具设计、基于增强现实制造仿真、和近期在研究的可持续制造中的产品和过程设计等方面的理论基础和应用研究方面做出了很大的贡献。目前,倪教授担任了22个制造领域相关学术期刊的编委。他于2014年2月被任命为制造领域著名期刊“先进制造技术国际期刊”(International Journal of Advanced Manufacturing Technology)的主编。他发表了400多篇国际期刊论文,300篇会议论文,撰写或编辑18本专著和23个专著的章节。他培养了48名博士和47名硕士研究生。

倪教授获得了一系列奖项,如1999年的IEEE Kayamori奖, 2003年的IJPR Norman A Dudley奖,和2009年的IMechE Joseph Whitworth奖。他已经在世界范围的重大会议上做过20个主题报告。他于1982年获得SME的杰出青年制造工程师奖, 是国际生产工程科学院(CIRP)的院士, 美囯制造工程师协会 (SME) 的院士。倪教授是新加坡工程院的创始院士,2011-2012年担任国际生产工程科学院(CIRP)的主席,从1951年国际生产工程科学院在法国成立以来,他是世界上首位获得此席位的华裔学者。

倪教授在多个教育和政府机构任职,如新加坡国家科技局的科学和工程研究委员会副执行主任,新加坡MIT联盟的联合主任,设计技术学院CEO。在新加坡国立大学,他曾担任过机械工程系主任、工程学院院长、质量管理办公室主任、招生办公室主任和研究管理主任。他于2012年荣获由新加坡国立大学颁发的工程领袖奖。在他的领导下,他的研究团队致力于计算机辅助模具设计方面的研究,促成了大学子公司Manusoft科技公司的成立并促进了IMOLD的发展。他的研究团队在金属冲压级进模设计方面取得的成果于2002年获得了国家科技奖。他于2007年获得新加坡国庆奖公共行政奖章。

倪教授目前拥有中国天津大学、北京航空航天大学、南京航空航天大学、上海大学、华中科技大学等大学的荣誉教授称号。He has a GS citation count of 10900, and H-Index of 57. He was selected one of Asia’s Top 100 Scientists in February 2016, and one of 14 Inspiring Innovators from Asia in October 2016, both by the Asian Scientist Magazine.

 
 
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