IoT Based Earthquake Detection System

This paper proposes an IoT based Earthquake Detection System for the early warning and quick detection of the earthquake. Earthquakes are one of the rare natural disasters in Malaysia but when the earthquake happened, it could damage infrastructure and cause deaths. This system is aimed to monitor the earthquake levels and warn people about earthquake dangers. To detect the vibration on the ground surface, an accelerometer has been connected to the microcontroller Arduino Uno R3. Then NRF24L01 transceiver module has been used to connect between the transmitter and receiver part. In order to receive the notifications about the earthquake, the ESP8266 Wi-Fi module is linked to the Blynk App. This proposed system is very user-friendly and economical, making it favourable to be used in the earthquake zones.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-09-04
DOI
https://doi.org/10.37934/araset.51.1.160170
Citations
2
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT Based Earthquake Detection System

Mohd Wafi Nasrudin, Rashidah Che Yob, Herwansyah Lago, Nur Hidayah Ramli et al.
2 citations
Journal of Advanced Research in Applied Sciences and Engineering Technology
Seismology and Earthquake Studies
0.69
article

IoT Based Earthquake Detection System

Mohd Wafi Nasrudin, Rashidah Che Yob, Herwansyah Lago, Nur Hidayah Ramli, Nor Irfan Multazam Nor Azmi, Norfatihah Bahari
article en
2 citations

Abstract

This paper proposes an IoT based Earthquake Detection System for the early warning and quick detection of the earthquake. Earthquakes are one of the rare natural disasters in Malaysia but when the earthquake happened, it could damage infrastructure and cause deaths. This system is aimed to monitor the earthquake levels and warn people about earthquake dangers. To detect the vibration on the ground surface, an accelerometer has been connected to the microcontroller Arduino Uno R3. Then NRF24L01 transceiver module has been used to connect between the transmitter and receiver part. In order to receive the notifications about the earthquake, the ESP8266 Wi-Fi module is linked to the Blynk App. This proposed system is very user-friendly and economical, making it favourable to be used in the earthquake zones.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 51(1)
Universiti of Malaysia Sabah (MY), Universiti Malaysia Perlis (MY)
Universiti Malaysia Perlis
Openalex Percentile: Top 25%
Seismology and Earthquake Studies
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.