Published September 2021 | Version v1
Journal article

Self-powered 5G NB-IoT system for remote monitoring applications

  • 1. Department of Micro/Nano Electronics, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 2. National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 3. The State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)

Description

Highlights: • A magnetic-assisted noncontact energy harvester (MN-EH) is developed for self-powered remote monitoring. • The optimized magnetic arrangement is utilized to reduce the rotating torque. • The MN-EH is successfully demonstrated to power a programmable 5G NB-IoT system. In the new era of 5G and artificial intelligence of things (AIoT), remote monitoring and early warning based on widely distributed self-powered wireless sensing system are particularly important. However, the high power consumption, limited communication range and operation lifespan of this system are serious obstacles in practical applications. Here, we report a self-powered 5G narrowband IoT (NB-IoT) system for remote fire monitoring, driven by a magnetic-assisted noncontact energy harvester (MN-EH) which hybridizes piezoelectric and electromagnetic generator. The rotational MN-EH device can efficiently convert wind energy into electrical power while NB-IoT makes it possible to trade off the low-power and long-range transmission. With the magnetic coupling mechanism, the device can avoid degradation and abrasion to improve the reliability. Through optimizing a magnetic arrangement, the rotating peak torque can be reduced more than 93%. The MN-EH is further developed to power the NB-IoT system which can acquire temperature and CO concentration and transmit them to the cloud server every ~13 min. This work provides an effective strategy and paves the way for practical applications of self-powered remote monitoring system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nanoen.2021.106140

Additional details

Identifiers

DOI
10.1016/j.nanoen.2021.106140;
PII
S2211285521003967;

Publishing Information

Journal Title
Nano Energy (Print)
Journal Volume
87
Journal Page Range
vp.
ISSN
2211-2855

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54017150
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ABRASION; ARTIFICIAL INTELLIGENCE; CARBON MONOXIDE; ECOLOGICAL CONCENTRATION; MONITORING; OPTIMIZATION; PIEZOELECTRICITY; TORQUE
Descriptors DEC
CARBON COMPOUNDS; CARBON OXIDES; CHALCOGENIDES; ELECTRICITY; OXIDES; OXYGEN COMPOUNDS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.