Document Type
Conference Proceeding
Abstract
Typical 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.
Disciplines
Controls and Control Theory | Information Security | Process Control and Systems
Recommended Citation
Oyama, H., D. Messina, R. O'Neill, S. Cherney, M. Rahman, K. K. Rangan, G. Gjonaj, and H. Durand, "Test Methods for Image-Based Information in Next-Generation Manufacturing,," IFAC-PapersOnLine (Proceedings of the 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2022: Busan, Republic of Korea, 14–17 June 2022), 55(7), 73-78. https://doi.org/10.1016/j.ifacol.2022.07.424
Included in
Controls and Control Theory Commons, Information Security Commons, Process Control and Systems Commons
Comments
© 2022 The Authors, deposited here under the Creative Commons Attribution-Noncommercial-NoDerivative Works 4.0 International License (CC-BY-NC-ND, https://creativecommons.org/licenses/by-nc-nd/4.0/).