Abstract
In the context of growing interest in renewable energy sources and the need to optimize logistics processes, the development of intelligent biogas transportation management systems is highly relevant. This work focuses on creating an integrated automated system for the safe and energy-efficient transport of compressed biogas. The system is based on the ESP32 microcontroller and integrates Internet of Things (IoT) technologies, intelligent data analysis, and adaptive control. It is built around a data acquisition module with high-precision pressure, temperature, leakage, vibration, and humidity sensors. Control is carried out via an array of solenoid valves, and wireless communication is ensured through Wi-Fi and the MQTT protocol. The ESP32 microcontroller serves as the central hub, performing local control, signal processing, and data transmission to a cloud platform. A key advantage is the built-in predictive diagnostics mechanism, which identifies potential deviations in real time and prevents emergency situations, ensuring continuous operation. This paper provides a detailed description of the development of the ESP32-based integrated automated system for compressed biogas transportation. The hardware and software architecture, including sensors and monitoring and control algorithms, is described to significantly enhance the safety, efficiency, and reliability of biogas transport by both road and rail. The conducted analysis confirmed a substantial reduction in biogas losses and an increase in overall process reliability. This convincingly demonstrates the feasibility of using the ESP32 microcontroller as a basis for creating intelligent and energy-efficient automated solutions in the biogas industry.