Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: a Case Study

• Rosero-Montalvo, Paul D. ^{[1] [4] [5] [2]} ; López-Batista, Vivian F. ^{[1] [4]} ; Peluffo-Ordóñez, Diego H. ^{[4] [5] [2]} ; Lorente-Leyva, Leandro L. ^{[4] [2]} ; Blanco-Valencia, X.P. ^{[4] [3]}
  1. [1] Universidad de Salamanca

     Universidad de Salamanca

     Salamanca, España

     
  2. [2] Universidad Técnica del Norte

     Universidad Técnica del Norte

     San Miguel De Ibarra, Ecuador

     
  3. [3] Universidad Yachay Tech

     Universidad Yachay Tech

     Urcuqui, Ecuador

     
  4. [4] SDAS Research Group (Urcuquí, Ecuador)
  5. [5] Instituto Tecnológico Superior 17 de Julio (Urcuquí, Ecuador)

  Mostrar afiliaciones +
• Localización: Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings / coord. por Hilde Pérez García , Lidia Sánchez González , Manuel Castejón Limas , Héctor Quintián Pardo , Emilio Santiago Corchado Rodríguez , 2019, ISBN 978-3-030-29858-6, págs. 686-696
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For another hand, a Prototype Selection and Data Balance algorithms comparison in relation to the classifier k-Nearest Neighbourhood is made. With this, the system has an adequate training set to achieve the highest classification performance. As a final result, the system presents a visualization platform that estimates the pollution condition with more than 90% accuracy.