Smart I4.0-Based Irrigation System for Optimization in Water Management: A case study

Thalía Gualpa, Gustavo Caiza, Paulina Ayala, Carlos A. Garcia, Marcelo V. Garcia

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

Resumen

A Smart city utilizes Information and Communication Technologies (ICT) to tackle the challenges brought about by urbanization, by promoting and implementing sustainable development practices. One of the biggest concerns globally is water management, and the current project aims to create an intelligent irrigation system for parks that operates using an Asset Administration Shell (AAS) architecture focus on the Industry 4.0 (I4.0) model. The system uses network orchestration of servers to coordinate and sequence existing processes. By regulating water consumption based on soil and weather conditions, as well as plant requirements, the system aims to become an intelligent irrigation management system. Real-time monitoring and control of all sensor data ensure efficient use of water. The platform comprises a low-cost microcontroller, which automatically or manually monitors, controls, and supervises irrigation status. The microcontroller collects data on humidity, environmental parameters, and soil temperature, which are then stored in a database and displayed on a website. The system is decomposed into containers using the Docker Host application and managed by Kubernetes, which is the container orchestrator.

Idioma originalInglés
Título de la publicación alojada2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350339918
DOI
EstadoPublicada - 2023
Evento28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023 - Sinaia, Rumanía
Duración: 12 sep. 202315 sep. 2023

Serie de la publicación

NombreIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volumen2023-September
ISSN (versión impresa)1946-0740
ISSN (versión digital)1946-0759

Conferencia

Conferencia28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023
País/TerritorioRumanía
CiudadSinaia
Período12/09/2315/09/23

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Publisher Copyright:
© 2023 IEEE.

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