Milliwatt μ-TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications

Milliwatt μ-TEG-Powered Vibration Monitoring System for Industrial Predictive Maintenance Applications

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 devi...

Full description

Saved in:
Bibliographic Details
Published in:Information (Basel) Vol. 15; no. 9; p. 545
Main Authors: Aragonés, Raúl, Malet, Roger, Oliver, Joan, Prim, Alex, Mascarell, Denis, Salleras, Marc, Fonseca, Luis, Rodríguez-Iglesias, Alex, Tarancón, Albert, Morata, Alex, Baiutti, Federico, Ferrer, Carles
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-09-2024
Subjects:
Alternative energy
Alternative energy sources
Bluetooth
carbon footprint
Climate change
Cloud computing
Digitization
Ecological footprint
Edge computing
Efficiency
Electric generators
Electric power transmission
Electricity
Emissions
Energy consumption
Energy harvesting
Energy resources
Energy technology
Force and energy
Greenhouse gases
Heat
Hot surfaces
Industrial applications
Industrial Internet of Things
Industry 4.0
Internet of Things
LCA
Lithium
LoRaWAN
Maintenance costs
Manufacturing
Power management
Predictive maintenance
Radio frequency identification
Real time
Renewable energy
Seebeck effect
Sensors
Silicon wafers
Thermoelectric generators
Thermoelectricity
Vibration monitoring
Waste heat recovery
Spain
Arctic region
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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).
ISSN:2078-2489
2078-2489
DOI:10.3390/info15090545