
UM gêmeo digital É uma representação virtual continuamente sincronizada de um ativo físico, processo ou sistema, mantida por meio de fluxos de dados bidirecionais entre sensores do mundo real e um modelo computacional cuja fidelidade varia de simples painéis de telemetria a simulações físicas completas que resolvem dinâmica de fluidos, estrutura e outros fenômenos. mecânicaou comportamento eletroquímico em escalas de tempo operacionais.
O conceito teve origem na indústria aeroespacial e fabricação — Prática de espelhamento de veículos da NASA e Siemens product lifecycle A infraestrutura de gestão são exemplos canônicos iniciais — antes de se propagar para a gestão de redes de energia, planejamento urbano, operações de instalações de saúde e orquestração da cadeia de suprimentos, cada domínio impondo requisitos distintos em termos de representação ontológica, latência de atualização e granularidade do modelo.
As publicações e patentes indexadas abaixo abordam essa arquitetura completa: protocolos de integração e sincronização de sensores, abordagens híbridas de modelagem física/aprendizado de máquina, gêmeos validação e quantificação da incerteza, estruturas de interoperabilidade e casos de implantação específicos de domínio em sistemas industriais, de infraestrutura e biológicos.
Esta é a nossa mais recente seleção de publicações e patentes mundiais em inglês sobre Gêmeos Digitais, provenientes de diversos periódicos científicos online, classificadas e focadas em gêmeo digital, gêmeo de sistema ciberfísico, gêmeo digital de ativo, gêmeo digital de processo, gêmeo digital de sistema de sistemas, sincronização de gêmeo digital, gêmeo de fusão de sensores em tempo real, ontologia de gêmeo digital, fidelidade de gêmeo digital, modelo de gêmeo baseado em física, modelo de gêmeo orientado a dados, middleware de gêmeo digital, gêmeo de manutenção preditiva, simulação de gêmeo digital, gêmeo de elementos finitos, gêmeo de dinâmica de fluidos computacional, calibração de gêmeo digital, validação de gêmeo digital, ciclo de vida de gêmeo digital, gêmeo de modelagem de informações da construção (BIM), gêmeo digital urbano e gêmeo de IoT industrial.
Systems and methods for modeling agricultural environments
Patent published on the 2026-06-11 in WO under Ref WO2026120339 by PROPHET AI INC [US] (Spratt Jean-sÉbastien [us])
Abstract: In some aspects, the present disclosure provides a computer-implemented method for generating synthetic data to train artificial intelligence (Al) models. The computer-implemented method can comprise receiving synthetic data generated using a virtual environment, wherein the virtual environment comprises a plurality of (i) virtual sensors, (ii) virtual agents, or (iii) virtual objects. In some aspects, the present disclosure provides a computer-implemented method comprising processing one or mor[...]
Our summary: The disclosure outlines methods for generating synthetic data to train AI models using virtual environments. It includes processing trajectories of organisms to track their identifiers. Additionally, it describes a system with a digital twin of an agricultural environment for tracking real entities.
synthetic data, artificial intelligence, digital twin, agricultural modeling
Patent
Methods and apparatus for artificial intelligence based learning and prediction for packaging
Patent published on the 2026-06-11 in US under Ref US20260162056 by PLASTIC FREE FUTURE INC [US] (Narasimhan Anand [gb], Patrick Phillip Andrew [us], Adams Deborah A [us])
Abstract: [0000] A computer-implemented system and method for analyzing, optimizing, and managing packaging designs are disclosed. The system includes databases for packaging designs, materials, regulatory requirements, testing results, suppliers, and supply chain risks. A digital twin module models lifecycle and performance characteristics of packaging. A machine learning engine evaluates designs using performance metrics, cost structures, manufacturability constraints, compliance rules, supply chain con[...]
Our summary: The system analyzes and optimizes packaging designs using a machine learning engine and digital twin module. It evaluates designs based on performance metrics, cost, and compliance. A collaborative interface facilitates interaction among stakeholders and generates recommendations for design improvements.
Artificial Intelligence, Machine Learning, Packaging Optimization, Digital Twin
Patent
Method and apparatus for providing human interpretable semantic information of network states
Patent published on the 2026-06-11 in US under Ref US20260163819 by NOKIA SOLUTIONS AND NETWORKS OY [FI] (SzilÁgyi PÉter [hu], VulkÁn Csaba [hu])
Abstract: [0000] Described herein is a method, a network node a computer readable medium for providing human interpretable semantic information of one or more network states generated during execution of a network component of a target communication network or a network digital twin, NDT, of a corresponding target communication network. The method is capable of generating a trained network state information model which is configured to identify and anticipate human interpretable semantic information of th[...]
Our summary: The method provides a way to generate human interpretable semantic information from network states. It involves training a model based on data elements and predefined test cases. The trained model can identify potential errors in network systems without additional tools.
network states, semantic information, network model, communication network
Patent
A Systematic Review of Augmented Reality, Digital Twins, and IoT Integration
Published on 2026-06-09 by @MIT
Abstract: AbstractThis systematic review analyzes the synergistic integration of Digital Twin (DT), Augmented Reality (AR), and Internet of Things (IoT) technologies within aquaponics systems. Following PRISMA 2020 guidelines, we identified and analyzed studies from IEEE Xplore and Scopus (2019–2024). The review reveals that while IoT is widely adopted, the integration of DT and AR remains fragmented, failing to function as a coordinated presence medium. The analysis identifies a critical theoretical ga[...]
Our summary: This review examines the integration of Digital Twin, Augmented Reality, and Internet of Things in aquaponics. It highlights the fragmented nature of current systems and the lack of unified frameworks. The paper proposes future research on modular architectures to improve efficiency and user accessibility.
Augmented Reality, Digital Twin, Internet of Things, Aquaponics
Publication
Monitoring stability of semiconductor manufacturing process systems using digital twins and neural networks
Patent published on the 2026-06-04 in US under Ref US20260153850 by INSPIRING ATOMS PTE LTD [SG] (Pan Yang [sg])
Abstract: Disclosed herein is a method for monitoring the stability of process systems in semiconductor manufacturing using digital twins and neural networks. Digital twins of both individual and group process systems are created to identify sources of subsystem parameter changes over time and assess their precise impact on process performance. This method enhances operational efficiency, uniformity, and precision in complex semiconductor manufacturing processes.[...]
Our summary: This method uses digital twins and neural networks to monitor semiconductor manufacturing processes. It identifies sources of parameter changes and assesses their impact on performance. The approach improves operational efficiency, uniformity, and precision in manufacturing.
digital twins, neural networks, semiconductor manufacturing, process stability
Patent
Integration enabler for integrating virtual world and physical world and method of operating the same
Patent published on the 2026-06-04 in US under Ref US20260154910 by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INST [KR] (Lee Changkyu [kr], Kim Yong-woon [kr], Kim Hak Suh [kr], Yoo Sangkeun [kr])
Abstract: [0000] An integration enabler for integrating a virtual world and a physical world and a method of operating the same are provided. The method includes receiving, from a metaverse system, a first discovery request for discovering an available digital twin system, providing, in response to the first discovery request, a list of digital twin systems registered in the integration enabler to the metaverse system, receiving, from the metaverse system, a second discovery request for discovering digita[...]
Our summary: The content describes an integration enabler that connects virtual and physical worlds. It outlines a method for discovering digital twin systems and models through a metaverse system. The process involves handling discovery requests and providing relevant lists to facilitate integration.
Integration, Digital Twin, Metaverse, System Architecture
Patent
Methods and system for facilitating user interactions with a digital twin of a physical environment
Patent published on the 2026-06-04 in US under Ref US20260154901 by OCCIPITAL INC [US] (Yakubenko Anton Anatolievich [us], Krivovyaz Gleb Robertovich [ch], Bird Sarah [us], Fohol Oleksandra Sergeevna [ua], Hallock Dianne C [us], Berdnikov Yuriy Evgenevich [rs], Bombin Mikhail Aleksandrovich [rs], Muno Isabella Marie Alexander [us], Moise Ovi)
Abstract: [0000] The present disclosure provides methods and systems for facilitating user interactions with a digital twin of a physical environment. The system receives sensor data and generates a three-dimensional model of the physical environment. The system generates text-based descriptors of the physical environment and objects based on the three-dimensional model. The text-based descriptors include structured descriptions of architectural features, object properties, spatial relationships, dimensio[...]
Our summary: The system generates a three-dimensional model of a physical environment using sensor data. It creates text-based descriptors detailing architectural features and object properties. User interactions are processed to modify the digital twin and provide analytical insights.
digital twin, user interactions, sensor data, machine learning
Patent
Neonatal digital twins enable personalized antibiotic dosing for treating suspected sepsis
Published on 2026-05-20 by Margaret Y. Sui, Kyra L. Rosen, Ariel Yuhan Ong, Joseph C. Kvedar @NATURE npj
Abstract: npj Digital Medicine, Published online: 20 May 2026; doi:10.1038/s41746-026-02773-5Neonatal bloodstream infections remain a challenging medical problem to treat due to difficulties in determining appropriate antibiotic dosing. Standardized medical guidelines are often unable to account for the complexity of changing neonatal organ sizes and other concurrent medical treatments that impact antibiotic clearance rates. Digital twin models that successfully capture these features of neonatal physiolo[...]
Our summary: Neonatal digital twins can optimize antibiotic dosing for sepsis treatment. They address challenges in determining appropriate dosages due to varying organ sizes and concurrent treatments. This approach aims to enhance personalized medicine in managing neonatal bloodstream infections.
Neonatal digital twins, antibiotic dosing, sepsis treatment, personalized medicine
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