METEORO: Low-Cost IoT Weather Station

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Abstract:

The development of low-cost, autonomous scientific instrumentation is crucial for enhancing environmental education and research, particularly in settings with limited resources. This paper presents METEORO v2, a low-cost Internet of Things (IoT) weather station designed to address the need for accessible scientific instrumentation in educational settings. The system overcomes common durability and energy autonomy challenges by integrating a robust physical structure with an optimized power management system. Architected around an ESP32 microcontroller utilizing a deep-sleep strategy and a 6W solar panel, the station provides continuous monitoring of precipitation, wind speed, UV radiation, air quality, temperature, humidity, and pressure. Data is transmitted via Wi-Fi to a Firebase cloud database and visualized through a responsive web interface. This work provides a replicable and affordable model for a sensing platform that serves as both an effective pedagogical tool and a reliable scientific instrument.

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