Work

Digital Twin Platform for Water Treatment Plants Using Microservices Architecture

Year: 2024

Type: article

Abstract: The effects of climate change and the rapid growth of societies often lead to water scarcity and inadequate water quality, resulting in a significant number of diseases. The digitalization of infrastructure and the use of Digital Twins are presented as alternatives for optimizing resources and the necessary infrastructure in the water cycle. This paper presents a framework for the development of a Digital Twin platform for a wastewater treatment plant, based on a microservices architecture which optimized its design for edge computing implementation. The platform aims to optimize the operation and maintenance processes of the plant's systems, by employing machine learning techniques, process modeling and simulation, as well as leveraging the information contained in BIM models to support decision-making.

Source: Sensors

DOI: 10.3390/s24051568

Authors: Carlos Rodríguez-Alonso, Iván Pena-Regueiro, Óscar García

Institution: Universidad Internacional de La Rioja

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Clean water and sanitation, Responsible consumption and production, Climate action, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,955