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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References
Gariano, S.L., Guzzetti, F.: Landslides in a changing climate. Earth Sci. Rev. (2016). https://doi.org/10.1016/j.earscirev.2016.08.011
Savina, M., Schäppi, B., Molnar, P., Burlando, P., Sevruk, B.: Comparison of a tipping-bucket and electronic weighing precipitation gage for snowfall. Rainfall Urban Context Forecast Risk Clim. Chang. 103, 45–51 (2012). https://doi.org/10.1016/j.atmosres.2011.06.010
Rangnekar, A., Hoffman, M.: Learning representations to predict landslide occurrences and detect illegal mining across multiple domains. In: Proceedings of the 36th International Conference on Machine Learning, Long Beach, California, PMLR 97 (2019)
Soler Llorens, J.L.: Diseño, implementación y validación de sistemas de adquisición de datos sísmicos basados en Arduino (2019)
Mora, H., Peral, J., Ferrandez, A., Gil, D., Szymanski, J.: Distributed architectures for intensive urban computing: a case study on smart lighting for sustainable cities. IEEE Access 7, 58449–58465 (2019). https://doi.org/10.1109/ACCESS.2019.2914613
Rodriguez Sotelo, J., López Londoño, A., Vega Botero, C., Darío Flórez Hurtado, R.: Sistema de monitoreo y control remoto usando IOT para un regulador de presión. Sci. Tech. 22(4), 391–397 (2017). https://doi.org/10.22517/23447214.13291
¿Que es Arduino?| Arduino.cl-Compra tu Arduino en Línea (2020). https://arduino.cl/que-es-arduino/. Accessed 23 Apr 2020
Gómez Maureira, M.A., Oldenhof, D., Teernstra, L.: ThingSpeak – an API and web service for the internet of things. In: World Wide Web (2014)
Arduino Nano| Arduino Official Store (2020). https://store.arduino.cc/usa/arduino-nano. Accessed 24 Apr 2020
Arduino Cloud| Aprendiendo Arduino (2020). https://aprendiendoarduino.wordpress.com/category/arduino-cloud/. Accessed 24 Apr 2020
Gay, W., Gay, W.: DHT11 sensor. In: Advanced Raspberry Pi, Berkeley, CA: Apress, pp. 399–418 (2018)
Adiono, T., Fathany, M.Y., Fuada, S., Purwanda, I.G., Anindya, S.F.: A portable node of humidity and temperature sensor for indoor environment monitoring. In: IGBSG 2018–2018 International Conference on Intelligent Green Building Smart Grid, pp. 1–5 (2018). https://doi.org/10.1109/igbsg.2018.8393575
FC-28 Soil Moisture Sensor Analog and Digital Outputs-Art of Circuits (2020). https://artofcircuits.com/product/fc-28-soil-moisture-sensor-analog-and-digital-outputs. Accessed 24 Apr 2020
Tutorial Módulo GPS con Arduino (2020). https://naylampmechatronics.com/blog/18_Tutorial-Módulo-GPS-con-Arduino.html. Accessed 24 Apr 2020
Baig, I., Muzamil, C., Dalvi, S., Campus, K.T.: Home automation using Arduino wifi module ESP8266, p. 8 (2016)
Vatronix Holdings Limited, LCD Module User Manual, 10, pp. 1–18
Montoya Rasero, C.: La energía solar fotovoltaica en el CTE. Electra, 137, pp. 94–100 (2006)
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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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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DOI: https://doi.org/10.1007/978-3-030-57802-2_74
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