DesignLab
  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

Forest Digital Twin: A Digital Transformation Approach for Monitoring Greenhouse Gas Emissions

Silva, J.R.; Artaxo, P.; Vital, E.L.

Journal 
Polytechnica 
Autor 
Silva, J.R.; Artaxo, P.; Vital, E.L. 
Book Title 
 
Volume 
Página(s) 
 
DOI 
https://doi.org/10.1007/s41050-023-00041-z 
Published 
2023 
Month 
June 
Tipo de Documento 
Working paper 
Abstract 
Digital Twins have been defined as a virtual representation of a real system, with validation links capable of granting an association and functional equivalence between the “twins,” even simultaneously or with a real-time delay. The virtual counterpart should be a model that must contain all essential issues, operations, and processes to reproduce the behavior of its twin, avoiding unnecessary overhead. Typically, this approach is applied to engineering systems, mainly in Industry 4.0. The idea of applying a similar framework to plant and forest ecology analysis just fit the interests of many research labs, including the Research Center for Greenhouse Gas Innovation (RCGGI), to study formal models for greenhouse gas emissions, sinks, and carbon balance along the complex Amazonian ecosystem. A framework was proposed to study the Brazilian Amazon Forest, shared by a multidisciplinary arrangement of Brazilian research groups and connected with other global partners. The proposal connects large data collection from several approaches used by distinct research groups, government agencies, and international institutions into a data system supporting service science processes. The primary investigation looks for a conceptual framework for Digital Twins to support a research agenda toward a life cycle analysis that allows an incremental and compositional enhanced view of processes affecting the Amazonian ecosystem. 
Keywords 
 
Publisher 
Springer 
URL 
https://link.springer.com/article/10.1007/s41050-023-00041-z