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

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Abstract

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.

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Data Availability

After test the DTC will be available in the link https://www.rcgi.poli.usp.br/project-greenhouse-gas-emissions-inamazon-and-data-analytics-and-service-system/

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Funding

The current work is part of a research project of the Research Center in Greenhouse Gas Innovation (RCGGI), which is funded by São Paulo State Research Foundation (FAPESP in Portuguese) and the National Petroleum Agency.

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Authors and Affiliations

  1. Mechatronics Dept., Universidade de São Paulo, São Paulo, São Paulo, Brazil

    Jose Reinaldo Silva & Elinilson Vital

  2. Physics Dept., Universidade de São Paulo, São Paulo, 610101, São Paulo, Brazil

    Paulo Artaxo

  3. RCGGI, Reearch Centre in Greenhouse Gas Innovation, São Paulo, 10587, São Paulo, Brazil

    Jose Reinaldo Silva & Paulo Artaxo

Authors
  1. Jose Reinaldo Silva
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Correspondence to Jose Reinaldo Silva.

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Silva, J.R., Artaxo, P. & Vital, E. Forest Digital Twin: A Digital Transformation Approach for Monitoring Greenhouse Gas Emissions. Polytechnica 6, 2 (2023). https://doi.org/10.1007/s41050-023-00041-z

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