Seminário de Avaliação - Série A: Conceptual and Ontological Foundations of Digital Twins

Orientadores:
Fabio André Machado Porto - Laboratório Nacional de Computação Científica - LNCC

Banca Examinadora:
Fabio André Machado Porto - Laboratório Nacional de Computação Científica - LNCC (presidente)
Luiz Manoel Rocha Gadelha Júnior - Laboratório Nacional de Computação Científica - LNCC
Marco Antonio Casanova - PUC-Rio

Suplentes:
Antônio Tadeu Azevedo Gomes - Laboratório Nacional de Computação Científica - LNCC

Resumo:

Digital Twins, digital counterparts of real-world systems, are transforming fields such as manufacturing, health care, agriculture, smart cities, and energy management. This transformation is driven by advancements in Information Systems, IoT, Al, and Big Data. The growth of Digital Twins ha s led to their ad-hoc development, posing a challenge in identifying the elements for a unified theoretical framework. This research proposes a conceptual model for Digital Twins grounded in the Unified Foundational Ontology (UFO), identifying essential factors in computational representation, including states of the system, situations, processes, models, and intrinsic dimensions such as space, time, uncertainties, and probabilities. These elements lead to tasks such as event detection and monitoring. The conceptual foundation of Digital Twins relies on the alignment between the real-world system and its virtual representation, ensuring accurate insights. This alignment, known as Twinning, involves coordination of bidirectional data flow, with challenges related to fidelity and synchronization. Twinning also encompasses the simulation of potential states, creating alternative versions of the digital system. The research aims to develop UFO-Digital Twins (UFO-DT), an extension of UFO , reflecting a comprehensive understanding of Digital Twins. Validation can be performed in use cases, such as predicting heavy rain and monitoring mooring breakage in oil platforms. Through the integration of spatial-temporal challenges and coordination between digital and physical worlds, this research proposes models to address the conceptual and ontological foundations of Digital Twins, contributing to shared comprehension and exploration of the technology, setting the stage for a collaborative future in the application of Digital Twins technology.