| Title |
Leveraging Local Intelligence to Industrial Control Systems through Edge Technologies |
| Authors |
- A. Patil, F. Ghawash, B. Schofield, F. Varela
CERN, Meyrin, Switzerland
- D. Daniel, K. Kaufmann, A.S. Sündermann
SAGÖ, Vienna, Austria
- C. Kern
Siemens AG, Corporate Technology, München, Germany
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| Abstract |
Industrial processes often use advanced control algorithms such as Model Predictive Control (MPC) and Machine Learning (ML) to improve performance and efficiency. However, deploying these algorithms can be challenging, particularly when they require significant computational resources and involve complex communication protocols between different control system components. To address these challenges, we showcase an approach leveraging industrial edge technologies to deploy such algorithms. An edge device is a compact and powerful computing device placed at the network’s edge, close to the process control. It executes the algorithms without extensive communication with other control system components, thus reducing latency and load on the central control system. We also employ an analytics function platform to manage the life cycle of the algorithms, including modifications and replacements, without disrupting the industrial process. Furthermore, we demonstrate a use case where an MPC algorithm is run on an edge device to control a Heating, Ventilation, and Air Conditioning (HVAC) system. An edge device running the algorithm can analyze data from temperature sensors, perform complex calculations, and adjust the operation of the HVAC system accordingly. In summary, our approach of utilizing edge technologies enables us to overcome the limitations of traditional approaches to deploying advanced control algorithms in industrial settings, providing more intelligent and efficient control of industrial processes.
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| Paper |
download TUPDP102.PDF [1.439 MB / 6 pages] |
| Poster |
download TUPDP102_POSTER.PDF [3.317 MB] |
| Cite |
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※ EndNote |
| Conference |
ICALEPCS2023 |
| Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (19th) |
| Location |
Cape Town, South Africa |
| Date |
09-13 October 2023 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Andy Götz (ESRF, Grenoble, France); Johan Venter (SARAO, Cape Town, South Africa); Karen White (SNS, Oak Ridge, TN, USA); Marie Robichon (ESRF, Grenoble, France); Vivienne Rowland (SARAO, Cape Town, South Africa) |
| Online ISBN |
978-3-95450-238-7 |
| Online ISSN |
2226-0358 |
| Received |
06 October 2023 |
| Revised |
21 October 2023 |
| Accepted |
05 December 2023 |
| Issued/td>
| 12 December 2023 |
| DOI |
doi:10.18429/JACoW-ICALEPCS2023-TUPDP102 |
| Pages |
793-798 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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