LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment

Smart City is a cutting edge technology driven city aimed at making our everyday lives safer and more convenient. Like every city it is comprised of structures. To uphold their safety these structures have to undergo periodical maintenance checks. However, checks are done manually, thus consume a si...

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Main Authors: Michail Sidorov, Phan Viet Nhut, Yukihiro Matsumoto, Ren Ohmura
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8930517/
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author Michail Sidorov
Phan Viet Nhut
Yukihiro Matsumoto
Ren Ohmura
author_facet Michail Sidorov
Phan Viet Nhut
Yukihiro Matsumoto
Ren Ohmura
author_sort Michail Sidorov
collection DOAJ
description Smart City is a cutting edge technology driven city aimed at making our everyday lives safer and more convenient. Like every city it is comprised of structures. To uphold their safety these structures have to undergo periodical maintenance checks. However, checks are done manually, thus consume a significant amount of time and financial resources. Remote Structural Health Monitoring (RSHM) is a perfect solution for a Smart City, however limited research is done in applying Internet of Things (IoT) sensor nodes for permanent RSHM in applications that use bolted joints as a main fastening method. Most of the proposed solutions are not suitable, since either additional structural modifications are required, they violate standards, provide poor wireless communication range or still require human intervention. Therefore, this paper proposes an IoT sensor node named TenSense M30, which leverages Long Range (LoRa) communication technology to enable wide communication coverage and long life for monitoring the health of bolted joints in a Smart City environment. TenSense M30 has a miniature footprint and can be used as an add-on to current structures. Mechanical, hardware and embedded designs are presented and evaluated by means of simulation and practical tests. Results show that TenSense M30 is capable of precisely monitoring the pre-tension load of bolted joints, has a secured non-line of sight communication channel with a distance of 800 meters, has an expected lifetime of greater than 5 years powered by a number of coin cell batteries, and is safe under the pre-tension load.
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spelling doaj.art-6428af51cb9a4514989707236a1dc7b12022-12-21T22:21:47ZengIEEEIEEE Access2169-35362019-01-01717923517925110.1109/ACCESS.2019.29588358930517LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City EnvironmentMichail Sidorov0https://orcid.org/0000-0002-6897-8641Phan Viet Nhut1Yukihiro Matsumoto2Ren Ohmura3Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, JapanDepartment of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi, JapanDepartment of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi, JapanDepartment of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, JapanSmart City is a cutting edge technology driven city aimed at making our everyday lives safer and more convenient. Like every city it is comprised of structures. To uphold their safety these structures have to undergo periodical maintenance checks. However, checks are done manually, thus consume a significant amount of time and financial resources. Remote Structural Health Monitoring (RSHM) is a perfect solution for a Smart City, however limited research is done in applying Internet of Things (IoT) sensor nodes for permanent RSHM in applications that use bolted joints as a main fastening method. Most of the proposed solutions are not suitable, since either additional structural modifications are required, they violate standards, provide poor wireless communication range or still require human intervention. Therefore, this paper proposes an IoT sensor node named TenSense M30, which leverages Long Range (LoRa) communication technology to enable wide communication coverage and long life for monitoring the health of bolted joints in a Smart City environment. TenSense M30 has a miniature footprint and can be used as an add-on to current structures. Mechanical, hardware and embedded designs are presented and evaluated by means of simulation and practical tests. Results show that TenSense M30 is capable of precisely monitoring the pre-tension load of bolted joints, has a secured non-line of sight communication channel with a distance of 800 meters, has an expected lifetime of greater than 5 years powered by a number of coin cell batteries, and is safe under the pre-tension load.https://ieeexplore.ieee.org/document/8930517/Strain measurementInternet of Thingssensor systems and applicationsremote monitoringbolted jointLoRa
spellingShingle Michail Sidorov
Phan Viet Nhut
Yukihiro Matsumoto
Ren Ohmura
LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
IEEE Access
Strain measurement
Internet of Things
sensor systems and applications
remote monitoring
bolted joint
LoRa
title LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
title_full LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
title_fullStr LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
title_full_unstemmed LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
title_short LoRa-Based Precision Wireless Structural Health Monitoring System for Bolted Joints in a Smart City Environment
title_sort lora based precision wireless structural health monitoring system for bolted joints in a smart city environment
topic Strain measurement
Internet of Things
sensor systems and applications
remote monitoring
bolted joint
LoRa
url https://ieeexplore.ieee.org/document/8930517/
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