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Iot-Based Real-Time Landslide Detection Using Fuzzy Logic

The goal of this senior project is to create a smart landslide detection system that will provide early warning and landslide mitigating measures. Effective monitoring and detection systems are required because landslides represent a serious hazard to infrastructure, human lives, and the environment...

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Main Author: Nur Tihani Faqihah, Nuruddin Kamal
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40685/1/CD20084.pdf
http://umpir.ump.edu.my/id/eprint/40685/
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spelling my.ump.umpir.406852024-03-15T02:48:24Z http://umpir.ump.edu.my/id/eprint/40685/ Iot-Based Real-Time Landslide Detection Using Fuzzy Logic Nur Tihani Faqihah, Nuruddin Kamal QA75 Electronic computers. Computer science The goal of this senior project is to create a smart landslide detection system that will provide early warning and landslide mitigating measures. Effective monitoring and detection systems are required because landslides represent a serious hazard to infrastructure, human lives, and the environment. To build a reliable and intelligent system, the project makes use of cutting-edge technology including IoT (Internet of Things), data analytics, and fuzzy logic. The project starts with a thorough assessment of the approaches, technologies, and literature related to landslide detection. The project pinpoints the weaknesses and restrictions of the existing systems through this evaluation and suggests creative solutions to deal with these issues. The system design consists of a network of sensors, strategically placed in landslide-prone locations, including rain gauges, soil moisture sensors, accelerometers, and tilt sensors. The initiative also stresses the value of early warning systems and mitigation plans. The technology automatically informs and notifies the appropriate authorities, emergency response teams, and local populations if a potential landslide is detected. This makes it possible to quickly evacuate and to put mitigation measures in place to lessen the effects of landslides. The results of this study will have a big impact on people living in landslide-prone regions, urban planners, and disaster management organisations. The created system offers a trustworthy and effective instrument for landslip early detection, warning, and mitigation, improving public safety and lowering the potential harm brought on by these natural hazards. 2023-07 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40685/1/CD20084.pdf Nur Tihani Faqihah, Nuruddin Kamal (2023) Iot-Based Real-Time Landslide Detection Using Fuzzy Logic. Faculty of Computing, 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 QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Nur Tihani Faqihah, Nuruddin Kamal
Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
description The goal of this senior project is to create a smart landslide detection system that will provide early warning and landslide mitigating measures. Effective monitoring and detection systems are required because landslides represent a serious hazard to infrastructure, human lives, and the environment. To build a reliable and intelligent system, the project makes use of cutting-edge technology including IoT (Internet of Things), data analytics, and fuzzy logic. The project starts with a thorough assessment of the approaches, technologies, and literature related to landslide detection. The project pinpoints the weaknesses and restrictions of the existing systems through this evaluation and suggests creative solutions to deal with these issues. The system design consists of a network of sensors, strategically placed in landslide-prone locations, including rain gauges, soil moisture sensors, accelerometers, and tilt sensors. The initiative also stresses the value of early warning systems and mitigation plans. The technology automatically informs and notifies the appropriate authorities, emergency response teams, and local populations if a potential landslide is detected. This makes it possible to quickly evacuate and to put mitigation measures in place to lessen the effects of landslides. The results of this study will have a big impact on people living in landslide-prone regions, urban planners, and disaster management organisations. The created system offers a trustworthy and effective instrument for landslip early detection, warning, and mitigation, improving public safety and lowering the potential harm brought on by these natural hazards.
format Undergraduates Project Papers
author Nur Tihani Faqihah, Nuruddin Kamal
author_facet Nur Tihani Faqihah, Nuruddin Kamal
author_sort Nur Tihani Faqihah, Nuruddin Kamal
title Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
title_short Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
title_full Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
title_fullStr Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
title_full_unstemmed Iot-Based Real-Time Landslide Detection Using Fuzzy Logic
title_sort iot-based real-time landslide detection using fuzzy logic
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40685/1/CD20084.pdf
http://umpir.ump.edu.my/id/eprint/40685/
_version_ 1822924191754616832
score 13.235362

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