@article{10272/22159,
year = {2023},
month = {2},
url = {https://hdl.handle.net/10272/22159},
abstract = {An industrial wireless monitoring and control system, capable of supporting energyharvesting
devices through smart sensing and network management, designed for improving electrorefinery
performance by applying predictive maintenance, is presented. The system is self-powered
from bus bars, and features wireless communication and easy-to-access information and alarms. With
cell voltage and electrolyte temperature measurements, the system enables real-time cell performance
discovery and early reaction to critical production or quality disturbances such as short-circuiting,
flow blockages, or electrolyte temperature excursions. Field validation shows an increase in operational
performance of 30% (reaching 97%) in the detection of short circuits, which, thanks to a neural
network deployed, are detected, on average, 10.5 h earlier compared to the traditional methodology.
The developed system is a sustainable IoT solution, being easy to maintain after its deployment, and
providing benefits of improved control and operation, increased current efficiency, and decreased
maintenance costs.},
organization = {The authors would like to thank the Technological Corporation of Andalusia (CTA) and Atlantic Copper S.L.U. company for funding this research under projects 19/1008 and 22/1077.},
publisher = {MDPI},
title = {Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency},
doi = {10.3390/s23052517},
author = {Hidalgo Fort, Eduardo and Gómez Galán, Juan Antonio and González Carvajal, Ramón and Sánchez Cárdenas, Pedro and Clemente Maya, Carlos},
}