Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lian, Kuang-Yow, Hsiao, Sung-Jung, Sung, Wen-Tsai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
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
_version_ 1782299595713282048
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
work_keys_str_mv AT liankuangyow mobilemonitoringandembeddedcontrolsystemforfactoryenvironment
AT hsiaosungjung mobilemonitoringandembeddedcontrolsystemforfactoryenvironment
AT sungwentsai mobilemonitoringandembeddedcontrolsystemforfactoryenvironment