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  • 标题:Test Methods for Image-Based Information in Next-Generation Manufacturing
  • 本地全文:下载
  • 作者:Henrique Oyama ; Dominic Messina ; Renee O'Neill
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:7
  • 页码:73-78
  • DOI:10.1016/j.ifacol.2022.07.424
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTypical control designs in the process systems engineering literature have assumed that the primary sensing methodologies are traditional instruments such as thermocouples. Dig-italization is changing the landscape for manufacturing, and data-based sensing modalities (e.g., image-based sensing) are becoming of greater interest for plant control. These considerations require novel test/evaluation solutions. For example, process systems engineering researchers may wish to test image-based sensors in simulation. In this work, we provide preliminary thoughts on how image-based technologies might be evaluated via simulation for process systems.
  • 关键词:KeywordsImage-based controlcyberattackcamera sensor
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