Implementa O De Digital Twins Programado Em Python
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Implementação De Digital Twins Programado Em Python
Author: Vitor Amadeu Souza
language: pt-BR
Publisher: Clube de Autores
Release Date: 2025-06-28
Os gêmeos digitais representam uma das tecnologias mais inovadoras da Indústria 4.0, permitindo simular e monitorar em tempo real o comportamento de sistemas físicos por meio de seus equivalentes virtuais. Este exemplo apresenta uma implementação simplificada de gêmeo digital utilizando Python, com foco em conceitos fundamentais como modelagem, sensores virtuais e previsão de estados. Para isso, será simulado o funcionamento de um tanque de água, em que um sistema físico virtual (o tanque real) tem seu nível de água alterado ao longo do tempo, com entrada e consumo constantes. Um sensor simulado capta esse nível, mas com ruído, refletindo a incerteza presente em medições reais. Enquanto isso, o gêmeo digital acompanha o sistema, estimando o nível do tanque com base em um modelo computacional determinístico, livre de ruído. Por meio dessa simulação, o leitor compreenderá como os gêmeos digitais podem ser usados para acompanhar, prever e até corrigir o comportamento de sistemas físicos, mesmo quando os dados de entrada apresentam imperfeições. O código apresentado é totalmente executável e serve como base para aplicações mais complexas em engenharia, automação e Internet das Coisas (IoT).
Digital Twins
Digital twin technology has been rapidly evolving and gaining popularity in various fields such as manufacturing, energy, healthcare, and transportation. Digital twin is a virtual representation of a physical system or process that enables real-time monitoring, analysis, and optimization. This book will provide a comprehensive understanding of digital twin technology, its advancements, and applications. It will be useful for researchers, academics, practitioners, and students who are interested in the fields of engineering, computer science, data analytics, and Industry 4.0.
Digital Twin
Digital twin technologies, currently at the forefront of development, play a crucial role in integrated systems, industrial design, manufacturing, data analytics, and decision-making processes. As we move forward, digital twin technologies, along with their enabling technologies such as Artificial Intelligence, Machine Learning, Internet of Things (IoT), metaverse, and advanced visualization features, will continue to drive digital transformation and innovation across various societal contexts. This book presents a conceptual framework that examines critical perspectives on digital twins across diverse disciplines. It evaluates the contributions of leading thinkers to the broader discourse about digital twins. The introductory chapter provides an overview of the entire book, summarizing all subsequent chapters. Chapter 2 delves into the fundamentals of digital twins, covering theories, definitions, and enabling technologies. Chapters 3 to 10 explore various application areas, including smart cities, manufacturing, healthcare, infrastructure, and supply chain. Chapter 10 specifically focuses on socio-technical aspects related to the design, development, and implementation of digital twins. It emphasizes the significance of digital twins as a public good and identifies opportunities, gaps, and challenges. The final chapter addresses the current and future need for skills in training, education, and awareness, proposing collaborative approaches for industry and academia.