Amazon Forest Digital Twin: design based on Petri Nets and Cloud Computing
Viegas, M.A., Vital, E., Silva, J.R.
- Journal
- Autor
- Viegas, M.A., Vital, E., Silva, J.R.
- Book Title
- Proc. of the Brazilian Congress on Automatics
- Volume
- Página(s)
- DOI
- Published
- 2024
- Month
- Tipo de Documento
- Conference Proceedings
- Abstract
- Climate change risks stimulate a transdisciplinary approach to systems to monitor and analyze its impacts, especially in forests. On the other hand, this same demand raises the problem of agility and productivity in collecting, providing, and sharing data. Greenhouse Gas (GHG) emissions have a particular demand, managing a large amount of data combining physics, meteorology, and environmental data to provide data analysis based on cloud services. Methodological approaches for data repository design address the agility of a transdisciplinary approach, leading to service systems directed to a heterogeneous segmentation of users. This article compares approaches to defining, sharing, and using GHG data repositories and contrasts them with our proposed approach based on goal-oriented cloud service engineering. To demonstrate the cloud service proposition, a data space was implemented to monitor GHG emissions in the Amazon forest in Brazil.
- Keywords
- GHG emissions; forest digital twin; sustainability; service systems; data space
- Publisher
- URL