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Public web-based data monitoring and warning system using Fred node-red interface

Constrains in data monitoring system decrease the accessibility of information by the public. Due to that, hazard warning for natural disasters related information reach late to the citizens. Improvement in this system should be made by implementing modern solution in sharing information. The Intern...

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Main Authors: N.N. Johari, F.P. Chee, Jedol Dayou
Format: Proceedings
Language:English
English
Published: Faculty of Science and Natural Resources 2020
Subjects:
Q Science (General)
QA Mathematics
Online Access:https://eprints.ums.edu.my/id/eprint/27194/1/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface.pdf
https://eprints.ums.edu.my/id/eprint/27194/2/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface1.pdf
https://eprints.ums.edu.my/id/eprint/27194/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
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spelling my.ums.eprints.271942021-06-10T08:46:16Z https://eprints.ums.edu.my/id/eprint/27194/ Public web-based data monitoring and warning system using Fred node-red interface N.N. Johari F.P. Chee Jedol Dayou Q Science (General) QA Mathematics Constrains in data monitoring system decrease the accessibility of information by the public. Due to that, hazard warning for natural disasters related information reach late to the citizens. Improvement in this system should be made by implementing modern solution in sharing information. The Internet of Things (IoT) is the newest technology in exchanging and retrieving data between smart devices. The process of interchanging data is aided by the IoT platform such as Thing Speak, Cayenne and Blynk. Though not many of it offers to make the service reachable by unlimited users and create alert warning. FRED Node-RED (FRED) is a programmable IoT platform made to provide the availability of statistics to multi-class consumers and spread hazard warning over social network. This paper proposes to develop a public web-based data monitoring and warning system using FRED interface. To show the capability of FRED, a system that consists of sensors and Arduino Mega 2560 is built. Command is written on Arduino IDE and uploaded to the board, to obtain real-time measurements from the sensors. Node-RED then transferred the readings from hardware to FRED for displaying it on web page and send warning messages. By interfacing FRED in this system, data is visualized effectively on web page and hazard warning is posted over social network, Faculty of Science and Natural Resources 2020 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/27194/1/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface.pdf text en https://eprints.ums.edu.my/id/eprint/27194/2/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface1.pdf N.N. Johari and F.P. Chee and Jedol Dayou (2020) Public web-based data monitoring and warning system using Fred node-red interface. https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
N.N. Johari
F.P. Chee
Jedol Dayou
Public web-based data monitoring and warning system using Fred node-red interface
description Constrains in data monitoring system decrease the accessibility of information by the public. Due to that, hazard warning for natural disasters related information reach late to the citizens. Improvement in this system should be made by implementing modern solution in sharing information. The Internet of Things (IoT) is the newest technology in exchanging and retrieving data between smart devices. The process of interchanging data is aided by the IoT platform such as Thing Speak, Cayenne and Blynk. Though not many of it offers to make the service reachable by unlimited users and create alert warning. FRED Node-RED (FRED) is a programmable IoT platform made to provide the availability of statistics to multi-class consumers and spread hazard warning over social network. This paper proposes to develop a public web-based data monitoring and warning system using FRED interface. To show the capability of FRED, a system that consists of sensors and Arduino Mega 2560 is built. Command is written on Arduino IDE and uploaded to the board, to obtain real-time measurements from the sensors. Node-RED then transferred the readings from hardware to FRED for displaying it on web page and send warning messages. By interfacing FRED in this system, data is visualized effectively on web page and hazard warning is posted over social network,
format Proceedings
author N.N. Johari
F.P. Chee
Jedol Dayou
author_facet N.N. Johari
F.P. Chee
Jedol Dayou
author_sort N.N. Johari
title Public web-based data monitoring and warning system using Fred node-red interface
title_short Public web-based data monitoring and warning system using Fred node-red interface
title_full Public web-based data monitoring and warning system using Fred node-red interface
title_fullStr Public web-based data monitoring and warning system using Fred node-red interface
title_full_unstemmed Public web-based data monitoring and warning system using Fred node-red interface
title_sort public web-based data monitoring and warning system using fred node-red interface
publisher Faculty of Science and Natural Resources
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/27194/1/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface.pdf
https://eprints.ums.edu.my/id/eprint/27194/2/Public%20web-based%20data%20monitoring%20and%20warning%20system%20using%20Fred%20node-red%20interface1.pdf
https://eprints.ums.edu.my/id/eprint/27194/
https://www.ums.edu.my/fssa/wp-content/uploads/2020/12/PROCEEDINGS-BOOK-ST-2020-e-ISSN.pdf
_version_ 1760230591544950784
score 13.211869

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