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Internet of things (IoT) based grid tension monitoring system

The objective of this project is to create a prototype of grid tension monitoring system for overhead transmission lines. A real-time monitoring system for grid tension overhead transmission line temperature, sag axis has been developed. As accidents are constantly being reduced and diagnoses are ac...

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Main Author: Lina Khalida, Norazmi
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42250/1/LINA%20KHALIDA%20BINTI%20NORAZMI.pdf
http://umpir.ump.edu.my/id/eprint/42250/
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spelling my.ump.umpir.422502024-08-08T04:39:47Z http://umpir.ump.edu.my/id/eprint/42250/ Internet of things (IoT) based grid tension monitoring system Lina Khalida, Norazmi T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The objective of this project is to create a prototype of grid tension monitoring system for overhead transmission lines. A real-time monitoring system for grid tension overhead transmission line temperature, sag axis has been developed. As accidents are constantly being reduced and diagnoses are accelerating for automated grids, real time remote sensing and control is the configurations for smart grid implementation. In case of malfunction, the voltage and current exceed the operating limit, which requires in-time monitoring as well as diagnosis reporting. The project includes Internet of Things technology, which contributes to the monitoring of sensor readings, as well as an alert system that functions as a feedback system, responding to sensor readings by sending alerts to users on abnormal axis and temperature values. The project method relies on the transfer of data from the sensor module to the microcontroller, where it is recorded and displayed on a website and mobile application that users may access to monitor sensor readings. The Internet of things method use in this monitoring system is by using ThingSpeak web and Blynk application. Using the publish and monitor implementation, data is transmitted over the internet protocol. The algorithm must be constructed to identify the project input and output, as well as the procedures in between. The findings of the prototype showed a functional website and mobile application in which the digital display accurately displays readings in accordance with its intended purpose. However, the project lacks an additional dashboard with multifunctional readings, such as monitoring the quality of the sag and having issues with no independent battery support, which requires direct voltage supply. 2022-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42250/1/LINA%20KHALIDA%20BINTI%20NORAZMI.pdf Lina Khalida, Norazmi (2022) Internet of things (IoT) based grid tension monitoring system. Faculty of Electrical and Electronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Lina Khalida, Norazmi
Internet of things (IoT) based grid tension monitoring system
description The objective of this project is to create a prototype of grid tension monitoring system for overhead transmission lines. A real-time monitoring system for grid tension overhead transmission line temperature, sag axis has been developed. As accidents are constantly being reduced and diagnoses are accelerating for automated grids, real time remote sensing and control is the configurations for smart grid implementation. In case of malfunction, the voltage and current exceed the operating limit, which requires in-time monitoring as well as diagnosis reporting. The project includes Internet of Things technology, which contributes to the monitoring of sensor readings, as well as an alert system that functions as a feedback system, responding to sensor readings by sending alerts to users on abnormal axis and temperature values. The project method relies on the transfer of data from the sensor module to the microcontroller, where it is recorded and displayed on a website and mobile application that users may access to monitor sensor readings. The Internet of things method use in this monitoring system is by using ThingSpeak web and Blynk application. Using the publish and monitor implementation, data is transmitted over the internet protocol. The algorithm must be constructed to identify the project input and output, as well as the procedures in between. The findings of the prototype showed a functional website and mobile application in which the digital display accurately displays readings in accordance with its intended purpose. However, the project lacks an additional dashboard with multifunctional readings, such as monitoring the quality of the sag and having issues with no independent battery support, which requires direct voltage supply.
format Undergraduates Project Papers
author Lina Khalida, Norazmi
author_facet Lina Khalida, Norazmi
author_sort Lina Khalida, Norazmi
title Internet of things (IoT) based grid tension monitoring system
title_short Internet of things (IoT) based grid tension monitoring system
title_full Internet of things (IoT) based grid tension monitoring system
title_fullStr Internet of things (IoT) based grid tension monitoring system
title_full_unstemmed Internet of things (IoT) based grid tension monitoring system
title_sort internet of things (iot) based grid tension monitoring system
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42250/1/LINA%20KHALIDA%20BINTI%20NORAZMI.pdf
http://umpir.ump.edu.my/id/eprint/42250/
_version_ 1822924579458252800
score 13.244413

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