Milliwatt μ-TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications
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Published:2024-09-06
Issue:9
Volume:15
Page:545
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ISSN:2078-2489
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Container-title:Information
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language:en
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Short-container-title:Information
Author:
Aragonés Raúl12ORCID, Malet Roger12ORCID, Oliver Joan1ORCID, Prim Alex2, Mascarell Denis2, Salleras Marc3ORCID, Fonseca Luis3ORCID, Rodríguez-Iglesias Alex3ORCID, Tarancón Albert4ORCID, Morata Alex4ORCID, Baiutti Federico4ORCID, Ferrer Carles1ORCID
Affiliation:
1. Department of Microelectronic and Electronic Systems, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain 2. R&D Department, Alternative Energy Innovations, S.L.—AEInnova, 08224 Terrassa, Barcelona, Spain 3. Micro and Nanosystems, Institute of Microelectronics of Barcelona, IMB-CNM (CSIC), 08193 Bellaterra, Barcelona, Spain 4. Advance Energy Materials, Catalonia Institute for Energy Research (IREC), 08930 Sant Adrià de Besòs, Barcelona, Spain
Abstract
This paper presents a novel waste-heat-powered, wireless, and battery-less Industrial Internet of Things (IIoT) device designed for predictive maintenance in Industry 4.0 environments. With a focus on real-time quality data, this device addresses the limitations of current battery-operated IIoT devices, such as energy consumption, transmission range, data rate, and constant quality of service. It is specifically developed for heat-intensive industries (e.g., iron and steel, cement, petrochemical, etc.), where self-heating nodes, low-power processing platforms, and industrial sensors align with the stringent requirements of industrial monitoring. The presented IIoT device uses thermoelectric generators based on the Seebeck effect to harness waste heat from any hot surface, such as pipes or chimneys, ensuring continuous power without the need for batteries. The energy that is recovered can be used to power devices using mid-range wireless protocols like Bluetooth 5.0, minimizing the need for extensive in-house wireless infrastructure and incorporating light-edge computing. Consequently, up to 98% of cloud computation efforts and associated greenhouse gas emissions are reduced as data is processed within the IoT device. From the environmental perspective, the deployment of such self-powered IIoT devices contributes to reducing the carbon footprint in energy-demanding industries, aiding their digitalization transition towards the industry 5.0 paradigm. This paper presents the results of the most challenging energy harvesting technologies based on an all-silicon micro thermoelectric generator with planar architecture. The effectiveness and self-powering ability of the selected model, coupled with an ultra-low-power processing platform and Bluetooth 5 connectivity, are validated in an equivalent industrial environment to monitor vibrations in an electric machine. This approach aligns with the EU’s strategic objective of achieving net zero manufacturing capacity for renewable energy technologies, enhancing its position as a global leader in renewable energy technology (RET).
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