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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350339918
DOIs
StatePublished - 2023
Event28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023 - Sinaia, Romania
Duration: 12 Sep 202315 Sep 2023

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2023-September
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023
Country/TerritoryRomania
CitySinaia
Period12/09/2315/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Automatic irrigation
  • Containers
  • Fuzzy controller
  • Orchestration
  • Server
  • Smart city
  • Website

Fingerprint

Dive into the research topics of 'Smart I4.0-Based Irrigation System for Optimization in Water Management: A case study'. Together they form a unique fingerprint.

Cite this