| Issue |
E3S Web Conf.
Volume 353, 2022
8th International Conference on Energy and City of the Future (EVF’2021)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 6 | |
| Section | Energy & Management | |
| DOI | https://doi.org/10.1051/e3sconf/202235302004 | |
| Published online | 29 June 2022 | |
Energy optimization and predictive maintenance of an asphalt plant: A case study
1 KANTENA TECHNOLOGIES, Paris 75011, France
2 ECAM-EPMI, LR2E, Quartz-Lab (EA 7393), Cergy-Pontoise 95092, France
* Corresponding author: jwe@kantenatechnologies.com
† Corresponding author: ama@kantenatechnologies.com
This communication presents a real-life study dealing with energy optimization by using specific IoT devices in an industrial asphalt plant. The study is conducted by KANTENA TECHNOLOGIES. The objective is to demonstrate that collecting data from the plants is very valuable and useful for process optimization. The data recovered from sensors (IoT) allows us to develop a real-time supervision tool for the production system, in order to : (1) Monitor asphalt plant productions, (2) Track energy consumption and optimize its consumption, (3) Monitor the quality of service of the plant’s sensitive machines while offering predictive maintenance.
© The Authors, published by EDP Sciences, 2022
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.
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