Temperature and Humidity Control System for a Munitions Warehouse: Integrating IoT, Machine Learning, and Independent Control

Telekomunikasi Militer

Abstrak

Maintaining stable temperature and humidity in ammunition storage facilities is essential to ensure safety and reliability. Environmental fluctuations can degrade explosive materials, shorten their lifespan, and increase the risk of fire or accidental detonation. Conventional manual monitoring methods are often inefficient and lack predictive capabilities, creating the need for a smarter and more reliable solution. This study presents the design of an integrated system that combines Internet of Things (IoT), Machine Learning (ML), and autonomous automatic control to regulate environmental conditions in ammunition depots. The system employs BME680 and DHT11 sensors to measure temperature, humidity, and air quality in real-time. Data are processed by microcontrollers such as ESP32 or STM32 and analysed using a linear regression model, enabling accurate predictions of future environmental changes.