Design and implementation of a low-cost IoT based landslide monitoring and early warning system using ESP32 and Blynk cloud platform

Kelani, Muhammad Arif Khumaini and Abd. Rahman, Faridah and Gunawan, Teddy Surya and Kartiwi, Mira and Harun, Harlisya and Abdul Kadir, Kusyairi (2025) Design and implementation of a low-cost IoT based landslide monitoring and early warning system using ESP32 and Blynk cloud platform. In: 2025 IEEE 11th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 10-11 September 2025, KUALA LUMPUR MALAYSIA.

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Abstract

Landslides are among the most devastating natural disasters, often resulting in significant loss of life, infrastructure damage, and environmental degradation. This paper presents the design and development of a low-cost, realtime Internet of Things (IoT)-based landslide monitoring and early warning system, utilizing the ESP32-WROVER-E microcontroller, YL-69 soil moisture sensor, and MPU6050 accelerometer-gyroscope. The system transmits environmental data wirelessly to the Blynk cloud platform, enabling remote monitoring and immediate alert dissemination via a mobile application. Calibration of the soil moisture sensor using piecewise linear regression significantly reduced measurement errors, achieving an accuracy within ±5% of actual volumetric water content. The MPU6050 effectively detected slope inclinations, classifying them into normal, warning, and danger zones with high reliability. Real-time tests under simulated landslide conditions demonstrated the system’s ability to issue timely alerts through push notifications and email, offering scalable deployment in disaster-prone regions. Unlike conventional geotechnical instruments, this system provides portability, energy efficiency, and minimal maintenance requirements. With potential for integration of additional sensors and AI-driven predictive analytics, the proposed solution advances the field of disaster risk reduction. It enhances community resilience through accessible, real-time landslide monitoring technology.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	Landslide early warning system, IoT, ESP32, soil moisture monitoring, wireless sensor networks, real-time alerting.
Subjects:	T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T60 Work measurement. Methods engineering T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation T Technology > TA Engineering (General). Civil engineering (General) > TA170 Environmental engineering. Sustainable engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Faridah Abd Rahman
Date Deposited:	18 Dec 2025 15:48
Last Modified:	18 Dec 2025 15:48
Queue Number:	2025-12-Q698
URI:	http://irep.iium.edu.my/id/eprint/125476

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