Low power LoRa sensor network for flood observatory system

Nahar Khairudin, Adniel Naim (2024) Low power LoRa sensor network for flood observatory system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Flood is a natural disaster that causes significant damage to infrastructure, property, and human life. Existing monitoring systems has a lack of timely information for public safety, high power consumption, and costly data transmission, making implementing them in remote and flood-prone areas challenging. This thesis proposes the development of a Flood Observatory System (FOS) using Low Power Wide Area Network (LPWAN) technology, specifically LoRa, to address the limitations of traditional flood monitoring systems. The FOS consists of a multipoint sensor network that utilises LoRa for long-range, low-power communication to monitor water levels in flood-prone areas. The system aims to provide a low-power, contactless solution that can operate continuously in remote areas. The project includes PCB fabrication, prototype enclosure procurement, IoT dashboard creation, and mobile/browser-based data access. By utilising LPWAN technology and LoRa specifically, the FOS achieves extended battery-powered operation, enabling accurate flood monitoring and real-time data transmission for timely evacuation and mitigation measures. The system also has applications in agriculture, facilitating efficient irrigation and preventing crop damage. This thesis presents a comprehensive solution for flood detection and monitoring, contributing to enhanced disaster management efforts.

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