Estación de control y monitorización meteorológica y sismológica autosustentable para la Universidad Técnica de Ambato

Abstract

At the Technical University of Ambato, the lack of precise and up-to-date data jeopardizes the safety of the campus and its community. Without this system, the response to critical events such as storms and earthquakes would be delayed, increasing vulnerability to natural disasters and complicating resource management and emergency planning. To address these issues, meteorological parameters and seismic activity were identified. The weather station is installed in a strategic location on campus to avoid microclimates and maximize data accuracy. The station is configured on the Wunderground platform, allowing automated data retrieval via an API. Meteorological data is stored in a MySQL database and visualized in real time through Grafana, which includes alerts for critical conditions. For seismic monitoring, an MPU6050 accelerometer sensor integrated with the ESP32 module was used. In addition, a suitable board was designed and assembled, integrating a self-sustaining system. Seismic data is stored and analyzed in a similar manner to meteorological data, providing a complete picture of environmental and seismic conditions. This project has established a robust and efficient infrastructure, improving the safety and risk management of the Universidad Técnica de Ambato. The methodology and technologies used can serve as a model for new similar projects.