Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications
Structural Health Monitoring (SHM) systems are used to monitor critical infrastructure, such as bridges, high-rise buildings, and stadiums, and it has been observed that SHM has the potential to both prolong the structure lifespan and to improve public safety. Within SHM studies and in the research...
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2019-01-01
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doaj-f9d8a0e324604854aca3228632c7c1f72021-02-02T04:36:07ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012710100710.1051/matecconf/201927101007matecconf_tran-set2019_01007Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing ApplicationsAgüero MarlonOzdagli AliMoreu FernandoStructural Health Monitoring (SHM) systems are used to monitor critical infrastructure, such as bridges, high-rise buildings, and stadiums, and it has been observed that SHM has the potential to both prolong the structure lifespan and to improve public safety. Within SHM studies and in the research on monitoring in general, the application of wireless sensors (WS) has recently gained considerable research interest due to the cost reduction, associated with the installation and maintenance of monitoring systems. However, despite the advances in the research on WS, there are several issues and challenges in the application of WS that require improvements, in particular for Outdoor Environment Monitoring (OEM) because of their harsh operational conditions, huge targeted areas and limited energy budgets. This paper presents a low-cost, battery-powered, efficient wireless intelligent sensor (LEWIS2) that stores acceleration and angular velocity on a memory card to accurately estimate the trajectory of different applications.https://www.matec-conferences.org/articles/matecconf/pdf/2019/20/matecconf_tran-set2019_01007.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Agüero Marlon Ozdagli Ali Moreu Fernando |
spellingShingle |
Agüero Marlon Ozdagli Ali Moreu Fernando Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications MATEC Web of Conferences |
author_facet |
Agüero Marlon Ozdagli Ali Moreu Fernando |
author_sort |
Agüero Marlon |
title |
Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications |
title_short |
Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications |
title_full |
Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications |
title_fullStr |
Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications |
title_full_unstemmed |
Low-cost, Battery-Powered, Efficient Wireless Intelligent Sensor (LEWIS2): Outdoors and Remote Sensing Applications |
title_sort |
low-cost, battery-powered, efficient wireless intelligent sensor (lewis2): outdoors and remote sensing applications |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2019-01-01 |
description |
Structural Health Monitoring (SHM) systems are used to monitor critical infrastructure, such as bridges, high-rise buildings, and stadiums, and it has been observed that SHM has the potential to both prolong the structure lifespan and to improve public safety. Within SHM studies and in the research on monitoring in general, the application of wireless sensors (WS) has recently gained considerable research interest due to the cost reduction, associated with the installation and maintenance of monitoring systems. However, despite the advances in the research on WS, there are several issues and challenges in the application of WS that require improvements, in particular for Outdoor Environment Monitoring (OEM) because of their harsh operational conditions, huge targeted areas and limited energy budgets. This paper presents a low-cost, battery-powered, efficient wireless intelligent sensor (LEWIS2) that stores acceleration and angular velocity on a memory card to accurately estimate the trajectory of different applications. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2019/20/matecconf_tran-set2019_01007.pdf |
work_keys_str_mv |
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