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Abstract

Recent studies determine that one of the triggers for landslides is torrential rains. This paper proposes the application of Arduino technology, and the platform for IoT Thingspeak to build a low-cost rain gauge equipment that allows the remote measurement of the variable’s rainfall, temperature, soil moisture, relative humidity, longitude and GPS latitude, determined by the standard values of the sensors used. These data are processed in the Arduino card, and through a Wi-Fi communication the data is stored and visualized in real time in the Thingspeak platform, for its monitoring and interpretation. This data, combined with other geological, meteorological and satellite parameters, will make it possible to develop an artificial intelligence system to establish the threshold band where the landslides are triggered.

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Notes

  1. 1.

    https://thingspeak.com.

  2. 2.

    https://play.google.com/store/apps/details?id=com.cinetica_tech.thingview&hI=es_49.

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Acknowledgement

I would like to express my gratitude to the Central University of Ecuador and FIGEMPA, which in the framework of the inter-institutional agreement with the University of Alicante, made this research work possible.

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Correspondence to Byron Guerrero Rodríguez , Jaime Salvador Meneses or Jose Garcia-Rodriguez .

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Rodríguez, B.G., Meneses, J.S., Garcia-Rodriguez, J. (2021). Implementation of a Low-Cost Rain Gauge with Arduino and Thingspeak. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_74

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