Physical Variables Monitoring to Contribute to Landslide Mitigation with IoT-Based Systems

Roberto Toapanta, Juan Chafla, Angel Toapanta

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)


This document proposes the design of a low-cost platform that contributes to the monitoring of the physical variables involved in the process of generating land-slides through a low-power wide-area network. The system consists of three components. The first is the electronic module in charge of integrating sensors, sampling, digitizing, and sending data. The second is the LoRa wireless commu-nication system that links all the nodes located in strategic sites in the study area with the gateway, then the bidirectional messages (data) are sent from the gate-way to the server hosted in the cloud through the MQTT protocol, where all the data acquired from the sensor network and the web server are stored. The third component is the display of information to the user through HTTP requests from any multi-platform device. The platform generates a large amount of data that will serve as input for future investigations related to landslides. This design will al-low the generation of more reliable early warning systems.

Idioma originalInglés
Título de la publicación alojadaAdvances in Emerging Trends and Technologies - Proceedings of ICAETT 2020
EditoresLap-Kei Lee, Leong Hou U, Fu Lee Wang, Simon K. Cheung, Oliver Au, Kam Cheong Li
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas14
ISBN (versión impresa)9783030636647
EstadoPublicada - 2021
Evento2nd International Conference on Advances in Emerging Trends and Technologies, ICAETT 2020 - Riobamba, Ecuador
Duración: 26 oct. 202030 oct. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365


Conferencia2nd International Conference on Advances in Emerging Trends and Technologies, ICAETT 2020

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© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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