Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi

Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor...

Full description

Main Authors: Al-Shahethi, M.G., Muneer, A., Ghaleb, E.A.A., Darshi, S., Almohammedi, A.A.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29256 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123317912&doi=10.1109%2fITSS-IoE53029.2021.9615298&partnerID=40&md5=9054ccbbb5f3e5ba2290a25c656d0065
http://eprints.utp.edu.my/29256/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.29256
recordtype eprints
spelling utp-eprints.292562022-03-25T01:15:42Z Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi Al-Shahethi, M.G. Muneer, A. Ghaleb, E.A.A. Darshi, S. Almohammedi, A.A. Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable. © 2021 IEEE. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123317912&doi=10.1109%2fITSS-IoE53029.2021.9615298&partnerID=40&md5=9054ccbbb5f3e5ba2290a25c656d0065 Al-Shahethi, M.G. and Muneer, A. and Ghaleb, E.A.A. and Darshi, S. and Almohammedi, A.A. (2021) Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi. In: UNSPECIFIED. http://eprints.utp.edu.my/29256/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable. © 2021 IEEE.
format Conference or Workshop Item
author Al-Shahethi, M.G.
Muneer, A.
Ghaleb, E.A.A.
Darshi, S.
Almohammedi, A.A.
spellingShingle Al-Shahethi, M.G.
Muneer, A.
Ghaleb, E.A.A.
Darshi, S.
Almohammedi, A.A.
Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
author_sort Al-Shahethi, M.G.
title Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
title_short Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
title_full Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
title_fullStr Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
title_full_unstemmed Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi
title_sort real life monitoring of conveyor line speed using iot and raspberry pi
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123317912&doi=10.1109%2fITSS-IoE53029.2021.9615298&partnerID=40&md5=9054ccbbb5f3e5ba2290a25c656d0065
http://eprints.utp.edu.my/29256/
_version_ 1741197212907470848
score 11.62408