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A Novel Intelligent Rebound Hammer System Based on Internet of Things

In order to improve the test efficiency of concrete strength and ensure measured data reliability, we present a novel intelligent rebound hammer system which is based on the Internet of Things (IoT) and speech recognition technology. The system uses a STM32F103C8T6 microcontroller as the Main Contro...

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Detalles Bibliográficos
Autores principales: Pang, Zongqiang, Wang, Qing, Wang, Yong, Gong, Zhiyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867410/
https://www.ncbi.nlm.nih.gov/pubmed/36677209
http://dx.doi.org/10.3390/mi14010148
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author Pang, Zongqiang
Wang, Qing
Wang, Yong
Gong, Zhiyin
author_facet Pang, Zongqiang
Wang, Qing
Wang, Yong
Gong, Zhiyin
author_sort Pang, Zongqiang
collection PubMed
description In order to improve the test efficiency of concrete strength and ensure measured data reliability, we present a novel intelligent rebound hammer system which is based on the Internet of Things (IoT) and speech recognition technology. The system uses a STM32F103C8T6 microcontroller as the Main Control Unit (MCU), and one BC26 module as the communication unit, combined with a LD3320 voice recognition module and TOF050H laser ranging sensor to achieve the function of phonetic transcription and laser ranging. Without the need for traditional multi-person collaboration and burdensome data transfer, the system can collect the data of rebound value and location information and send them to the remote cloud information management system automatically in real time. The test results show that the system has high measuring accuracy, good data transmission stability and convenient operation, which could provide guidance for other types of non-destructive testing equipment designs.
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spelling pubmed-98674102023-01-22 A Novel Intelligent Rebound Hammer System Based on Internet of Things Pang, Zongqiang Wang, Qing Wang, Yong Gong, Zhiyin Micromachines (Basel) Article In order to improve the test efficiency of concrete strength and ensure measured data reliability, we present a novel intelligent rebound hammer system which is based on the Internet of Things (IoT) and speech recognition technology. The system uses a STM32F103C8T6 microcontroller as the Main Control Unit (MCU), and one BC26 module as the communication unit, combined with a LD3320 voice recognition module and TOF050H laser ranging sensor to achieve the function of phonetic transcription and laser ranging. Without the need for traditional multi-person collaboration and burdensome data transfer, the system can collect the data of rebound value and location information and send them to the remote cloud information management system automatically in real time. The test results show that the system has high measuring accuracy, good data transmission stability and convenient operation, which could provide guidance for other types of non-destructive testing equipment designs. MDPI 2023-01-06 /pmc/articles/PMC9867410/ /pubmed/36677209 http://dx.doi.org/10.3390/mi14010148 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pang, Zongqiang
Wang, Qing
Wang, Yong
Gong, Zhiyin
A Novel Intelligent Rebound Hammer System Based on Internet of Things
title A Novel Intelligent Rebound Hammer System Based on Internet of Things
title_full A Novel Intelligent Rebound Hammer System Based on Internet of Things
title_fullStr A Novel Intelligent Rebound Hammer System Based on Internet of Things
title_full_unstemmed A Novel Intelligent Rebound Hammer System Based on Internet of Things
title_short A Novel Intelligent Rebound Hammer System Based on Internet of Things
title_sort novel intelligent rebound hammer system based on internet of things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867410/
https://www.ncbi.nlm.nih.gov/pubmed/36677209
http://dx.doi.org/10.3390/mi14010148
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