IOTFlood: hardware and software platform using internet of things to monitor floods in real time

  • Francisco Vital Da Silva Júnior Departamento de Ciências da Computação. Centro Universitário Tiradentes (UNIT), Campus Amélia Maria Uchôa, Avenida Gustavo Paiva, n°5017, CEP: 57038-000, Maceió, AL, Brazil.
  • Mônica Ximenes Carneiro Da Cunha Coordenação de Informática. Instituto Federal de Alagoas (IFAL), Campus Maceió, Avenida do Ferroviário, n°530, CEP: 57020-600, Maceió, AL, Brazil. Mestrado Profissional em Tecnologias Ambientais. Instituto Federal de Alagoas (IFAL), Campus Marechal Deodoro, Rua Lourival Alfredo, n°176, CEP: 57160-000, Marechal Deodoro, AL, Brazil.
  • Marcílio Ferreira De Souza Júnior Colégio Agrícola Dom Agostinho Ikas. Universidade Federal Rural de Pernambuco (UFRPE), Avenida Doutor Francisco Corrêa, n°643, CEP: 54735-000, São Lourenço da Mata, PB, Brazil.
Keywords: flood monitoring, internet of things, sensor networks.


Floods are responsible for a high number of human and material losses every year. Monitoring of river levels is usually performed with radar and pre-configured sensors. However, a major flood can occur quickly. This justifies the implementation of a real-time monitoring system. This work presents a hardware and software platform that uses Internet of Things (IoTFlood) to generate flood alerts to agencies responsible for monitoring by sending automatic messages about the situation of rivers. Research design involved laboratory and field scenarios, simulating floods using mockups, and later tested on the Mundaú River, state of Alagoas, Brazil, where flooding episodes have already occurred. As a result, a low-cost, modular and scalable IoT platform was achieved, where sensor data can be accessed through a web interface or smartphone, without the need for existing infrastructure at the site where the IOTFlood solution was installed using affordable hardware, open source software and free online services for the viewing of collected data.