Desarrollo de un entorno eIOT sobre DEVSsistema de alerta y gestión de blooms de cianobacterias

  1. Esteban San Román, Segundo 1
  2. Chacón, Jesús 1
  3. Risco-Martín, José Luis 1
  4. Carazo Barbero, Gonzalo 1
  5. Besada-Portas, Eva 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Liburua:
XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)
  1. Carlos Balaguer Bernaldo de Quirós (coord.)
  2. José Manuel Andújar Márquez (coord.)
  3. Ramon Costa Castelló (coord.)
  4. Carlos Ocampo Martínez (coord.)
  5. Jesús Fernández Lozano (coord.)
  6. Matilde Santos Peñas (coord.)
  7. José Enrique Simó Ten (coord.)
  8. Montserrat Gil Martínez (coord.)
  9. Jose Luis Calvo Rolle (coord.)
  10. Raúl Marín Prades (coord.)
  11. Eduardo Rocón de Lima (coord.)
  12. Elisabet Estévez Estévez (coord.)
  13. Pedro Jesús Cabrera Santana (coord.)
  14. David Muñoz de la Peña Sequedo (coord.)
  15. José Luis Guzmán Sánchez (coord.)
  16. José Luis Pitarch Pérez (coord.)
  17. Oscar Reinoso García (coord.)
  18. Oscar Déniz Suárez (coord.)
  19. Emilio Jiménez Macías (coord.)
  20. Vanesa Loureiro Vázquez (coord.)

Argitaletxea: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-841-8

Argitalpen urtea: 2022

Orrialdeak: 17-22

Biltzarra: Jornadas de Automática (43. 2022. Logroño)

Mota: Biltzar ekarpena

Laburpena

The Discrete Event System Specification (DEVS) is used to model, simulate, develop and deploy a project according to the Environmental Internet of Things (EIoT) paradigm. The software and hardware are designed and developed following a typical IoT architecture, with layers: Cloud, Fog, Edge and Things. As an application case, a system to monitor and control unmanned surface vehicles (USVs) that perform measurements in freshwater bodies to monitor and predict cyanobacteria blooms is presented. Modeling an EIoT project using DEVS enables a progressive design of the software/hardware, which in turn facilitates the coexistence of simulated and real elements. This model-based design allows the models to be refined through simulations, facilitating the final deployment of the real system.