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文章基本信息

  • 标题:Application Problems and Solutions of Intelligent Airport Service Robots
  • 本地全文:下载
  • 作者:Dai Yanyan ; Chen Meng
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:198
  • 页码:4030-4034
  • DOI:10.1051/e3sconf/202019804030
  • 出版社:EDP Sciences
  • 摘要:With the development of new technologies such as artificial intelligence, big data, and cloud computing, the “intelligent airport” is considered to be an effective means to solve or alleviate the current industry problems such as large-scale airport business, the large number of operating entities, and the complicated operation conditions. This paper is about the collaboration between universities and enterprises based on the concept of service design. Relying on big data and cloud computing technology, this paper addresses the problems of airport service robots in inquiries, blind spots of security inspection, and full monomer smart navigation diffluence, combined with the basic technology of service robot artificial intelligence and the third-party interface to design solutions to effectively solve the problems of process.
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