IoT-Based Forest Fire Monitoring System in Bengkalis Using Cosmic LoRa Ray

DOI

10.2991/978-94-6463-620-8_17How to use a DOI?

Keywords

Bengkalis; LoRa; Node

Abstract

Forest and land fires occur annually in Bengkalis Regency, especially during the dry season. According to the Riau Governor, as of October 2023, fires have affected 398.29 hectares in Bengkalis. Based on the Riau Provincial Coordination Meeting (rakor) for forest and land fire management (kartahutla), the provincial government needs support from the central government to monitor hot spots, weather forecasts, and groundwater levels. This study aims to detect fires quickly and enable timely intervention by installing GPS (Global Positioning System) to send the fire location data. The system, which uses Cosmic LoRa Ray technology, is deployed at multiple peatland points, interconnected via LoRa to the main data center, and sends data to the Bengkalis BPBD using Internet of Things (IoT) technology for prompt response. Data on air temperature, humidity, and smoke density are collected and transmitted from the sender (client) to the receiver (server) node. The server is a single unit with a solar panel, charging system, Li-Ion battery, temperature and smoke sensors, a 20x4 character LCD, and a Cosmic LoRa Ray-based microcontroller. The data transmission time at the transmitter node ranges from 2.86 to 3.25 seconds, whereas at the server node, it ranges from 1.92 to 2.13 seconds. This indicates that the server node has a faster data transmission time compared to the transmitter node. The server’s power consumption data is 1046.48 milliwatts, while the client’s power consumption can reach up to 1795.71 milliwatts. This indicates that the client uses significantly more power than the server.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jefri Lianda
AU  - Adam Adam
AU  - Muhamad Nasir
AU  - Dea Fitriana
AU  - Mhd. Riyan Kurniawan
AU  - Muhammad As’ad Hayyan Zahuri
PY  - 2024
DA  - 2024/12/25
TI  - IoT-Based Forest Fire Monitoring System in Bengkalis Using Cosmic LoRa Ray
BT  - Proceedings of the  7th International Conference on Applied Engineering (ICAE 2024)
PB  - Atlantis Press
SP  - 220
EP  - 232
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-620-8_17
DO  - 10.2991/978-94-6463-620-8_17
ID  - Lianda2024
ER  -