| Issue |
EPJ Web Conf.
Volume 323, 2025
22nd International Metrology Congress (CIM2025)
|
|
|---|---|---|
| Article Number | 06003 | |
| Number of page(s) | 6 | |
| Section | Robotization, Automatization & Dynamic Measurement | |
| DOI | https://doi.org/10.1051/epjconf/202532306003 | |
| Published online | 07 April 2025 | |
https://doi.org/10.1051/epjconf/202532306003
Automation and monitoring of lab- and industrial-scale food processing facilities for quality project management
Universite Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91120 Palaiseau, France
* Corresponding author: pierre.casaubieilh@agroparistech.fr
Published online: 7 April 2025
This paper presents the challenges and strategies for automation and monitoring in food processing at the pilot scale, within a teaching and research environment, the Technological Hall of the SayFood Laboratory. The objective is to ensure data accessibility, enhance quality management, and improve knowledge of unit transformation processes. Given the high heterogeneity of the equipments, various sensor technologies and data acquisition strategies are explored, along with software and hardware implementations tailored to support both research and industry needs. The integration of open-source solutions, Python-based tools, and web technologies is discussed, with a strong emphasis on the Industrial Internet of Things (IIoT) and interoperability.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.