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Designing Appropriate Sensor Values for Surface Forest Fire Alarm Systems Using IoT
Author(s)
Ruengtham, Jiratt
Date Issued
January 1, 2024
Type
Conference Paper
Abstract
Forest fire are a common problem today, causing serious damage to people's lives and property safety. It also has a huge impact on the ecological balance and economy of the country. Therefore forest fires are an issue that should be prioritized. Thailand is another country facing this problem, despite being used in the era of modernization of the Internet of Things to help alert forest fires. But one of the reasons for such significant losses is IoT technology. The forest fire alarm is installed in an inappropriate location and delays the alarm, causing serious damage. This paper focuses on using IoT technology to design appropriate sensor values for surface forest fire alarm systems. Since surface fires are the most common type of fires in Thailand, researchers designed an experiment using microcontrollers to work with different sensors for detect surface fire. The system consists of microcontroller, DHT 22 humidity and temperature sensor, MQ-2 gas detection sensor and IR Infrared detector flame sensor. The researchers simulated the surface fire, and then measured the parameters of each sensor under different conditions, and determined the best parameters suitable for the forest fire alarm system based on the Internet of Things, and the result was the optimal temperature value 28.2°c and humidity value is 66.9%. The optimal smoke value is 300 and IR Infrared Detector can detect fire at a distance of up to 1 meter. This result is an initial test. The experimental results will be collected as specified in the next step.
Citation
2024 21st International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2024, 2024