Forest Digital Twin: A Digital Transformation Approach for Monitoring Greenhouse Gas Emissions
Silva, J. Reinaldo; Artaxo, P.; Vital, E.L.S.
- Jornal científico
- Polytechnica
- Autor
- Silva, J. Reinaldo; Artaxo, P.; Vital, E.L.S.
- Título do livro
- Volume
- 5
- Página(s)
- 1-9
- DOI
- Publicado
- 2023
- Mês
- Tipo de documento
- Working paper
- Resumo
- Digital Twins has 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 to apply 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 collectecton 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 towards a life cycle analysis that allows an incremental and compositional enhanced view of processes affecting the Amazonian ecosystem.
- Palavras-chave
- GHG emissions; forest digital twin; sustainability; service systems; data space
- Editor
- Springer
- Url
- https://link.springer.com/article/10.1007/s41050-023-00041-z