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Mobile Monitoring and Embedded Control System for Factory Environment
This paper proposes a real-time method to carry out the monitoring of factory zone temperatures, humidity and air quality using smart phones. At the same time, the system detects possible flames, and analyzes and monitors electrical load. The monitoring also includes detecting the vibrations of oper...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892851/ https://www.ncbi.nlm.nih.gov/pubmed/24351642 http://dx.doi.org/10.3390/s131217379 |
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author | Lian, Kuang-Yow Hsiao, Sung-Jung Sung, Wen-Tsai |
author_facet | Lian, Kuang-Yow Hsiao, Sung-Jung Sung, Wen-Tsai |
author_sort | Lian, Kuang-Yow |
collection | PubMed |
description | This paper proposes a real-time method to carry out the monitoring of factory zone temperatures, humidity and air quality using smart phones. At the same time, the system detects possible flames, and analyzes and monitors electrical load. The monitoring also includes detecting the vibrations of operating machinery in the factory area. The research proposes using ZigBee and Wi-Fi protocol intelligent monitoring system integration within the entire plant framework. The sensors on the factory site deliver messages and real-time sensing data to an integrated embedded systems via the ZigBee protocol. The integrated embedded system is built by the open-source 32-bit ARM (Advanced RISC Machine) core Arduino Due module, where the network control codes are built in for the ARM chipset integrated controller. The intelligent integrated controller is able to instantly provide numerical analysis results according to the received data from the ZigBee sensors. The Android APP and web-based platform are used to show measurement results. The built-up system will transfer these results to a specified cloud device using the TCP/IP protocol. Finally, the Fast Fourier Transform (FFT) approach is used to analyze the power loads in the factory zones. Moreover, Near Field Communication (NFC) technology is used to carry out the actual electricity load experiments using smart phones. |
format | Online Article Text |
id | pubmed-3892851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-38928512014-01-16 Mobile Monitoring and Embedded Control System for Factory Environment Lian, Kuang-Yow Hsiao, Sung-Jung Sung, Wen-Tsai Sensors (Basel) Article This paper proposes a real-time method to carry out the monitoring of factory zone temperatures, humidity and air quality using smart phones. At the same time, the system detects possible flames, and analyzes and monitors electrical load. The monitoring also includes detecting the vibrations of operating machinery in the factory area. The research proposes using ZigBee and Wi-Fi protocol intelligent monitoring system integration within the entire plant framework. The sensors on the factory site deliver messages and real-time sensing data to an integrated embedded systems via the ZigBee protocol. The integrated embedded system is built by the open-source 32-bit ARM (Advanced RISC Machine) core Arduino Due module, where the network control codes are built in for the ARM chipset integrated controller. The intelligent integrated controller is able to instantly provide numerical analysis results according to the received data from the ZigBee sensors. The Android APP and web-based platform are used to show measurement results. The built-up system will transfer these results to a specified cloud device using the TCP/IP protocol. Finally, the Fast Fourier Transform (FFT) approach is used to analyze the power loads in the factory zones. Moreover, Near Field Communication (NFC) technology is used to carry out the actual electricity load experiments using smart phones. Molecular Diversity Preservation International (MDPI) 2013-12-17 /pmc/articles/PMC3892851/ /pubmed/24351642 http://dx.doi.org/10.3390/s131217379 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. https://creativecommons.org/licenses/by/3.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ). |
spellingShingle | Article Lian, Kuang-Yow Hsiao, Sung-Jung Sung, Wen-Tsai Mobile Monitoring and Embedded Control System for Factory Environment |
title | Mobile Monitoring and Embedded Control System for Factory Environment |
title_full | Mobile Monitoring and Embedded Control System for Factory Environment |
title_fullStr | Mobile Monitoring and Embedded Control System for Factory Environment |
title_full_unstemmed | Mobile Monitoring and Embedded Control System for Factory Environment |
title_short | Mobile Monitoring and Embedded Control System for Factory Environment |
title_sort | mobile monitoring and embedded control system for factory environment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892851/ https://www.ncbi.nlm.nih.gov/pubmed/24351642 http://dx.doi.org/10.3390/s131217379 |
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