Digital Twin Concept Developing on an Electrical Distribution System—An Application Case

Fernandes, Sabryna V.; João, Diogo V.; Cardoso, Beatriz; Martins, Marcos Aurélio Izumida; Carvalho, Edgar Gerevini

doi:10.3390/en15082836

Cited by 15 publications

(5 citation statements)

References 42 publications

(69 reference statements)

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“…i.e., MR visualization methods discussed in this article use synthetically generated utilities parallel to each other with a uniform depth for a simple demonstration focussing on different visualization approaches considering the visual perceptual challenges. Even though AR/MR visualization is currently challenged by data unavailability and inaccuracy, it is expected that more accurate data will be available in the near future as more research is performed on the concept of the Digital Twin (DT) of underground (Fernandes et al, 2022;Van Son et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Resolving Perceptual Challenges of Visualizing Underground Utilities in Mixed Reality

Muthalif

Shojaei

Khoshelham

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Augmented reality (AR) is intensely explored due to its wide range of potential applications, from education and engineering to medicine and defense. Nevertheless, utilizing AR for visualizing underground utilities still faces a number of challenges, including the unavailability of reliable, readily accessible digital information about underground utilities, localization of AR devices in a GNSS-deprived environment, and visual perceptual challenges. This paper discusses the utilization of Mixed reality (MR) to address the visual perceptual challenges, which can provide a realistic visualization and convenient user experience compared to AR. Six MR visualization prototypes have been developed, namely, "General view", "General + Range view", "General + Elevator view", "X-Ray box view", "X-Ray box + Depthslider view", and "X-Ray + box + Clipping view", and they are deployed to Microsoft HoloLens 2 for testing purposes. These new MR visualization methods can potentially resolve AR's visual perceptual challenges for visualizing underground utilities.

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Section: Discussionmentioning

confidence: 99%

Resolving Perceptual Challenges of Visualizing Underground Utilities in Mixed Reality

Muthalif

Shojaei

Khoshelham

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Digital twin, a novel technology capable of capturing the entire life cycle process of the corresponding physical equipment [7,8], has been recognized as a disruptive technology and one of the top ten strategic science and technology trends by Goldner [9,10]. Currently, digital twin technology has undergone broad research and application in sectors such as healthcare [11,12], electric power [13,14], and smart cities [15]. In contrast, the implementation of digital twins in the mining industry has been relatively recent but holds significant potential with a wide range of application scenarios.…”

Section: Used An Automatic Machinementioning

confidence: 99%

Simulation Modeling and Temperature Over-Advance Perception of Mine Hoist System Based on Digital Twin Technology

Liang,

Wu,

Ruan

2023

Machines

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The temperature prediction of hoist motor is one of the effective ways to ensure the safe production of mine hoist. Digital twin technology is a technology that combines the physical system of the real world with the digital model of the virtual world. Through digital twin technology, the physical system in the real world can be monitored and simulated in a virtual environment, and the state information of these systems can be monitored in real time. Recurrent neural network is a kind of neural network suitable for processing sequence data, which can automatically extract and learn the feature information in sequential data. To achieve online monitoring and over-advance perception of the temperature of the mine hoist motor, a temperature prediction and advance sensing method based on digital twins and recurrent neural network is proposed. To begin with, a high-fidelity digital twin monitoring system for mine hoists is constructed, enabling the acquisition of real-time temperature data. These temperature data are then fed into a neural network for feature extraction and precise prediction of the motor’s state. Subsequently, based on the temperature prediction module in the digital twin hoist monitoring system, a user interface (UI) is developed, and a fully functional digital twin temperature monitoring system is built and experimentally validated. The experimental results demonstrate that the digital twin system effectively monitors the real-time temperature state of the motor during the operation of the mine hoist. Furthermore, the integration of digital twin and recurrent neural network enables the accurate prediction and proactive detection of temperature variations in the motor of the mine hoist. This innovative approach introduces a novel perspective for implementing predictive maintenance in the mining industry, enhancing the safety and reliability of mine hoists. Additionally, it offers valuable technical support in improving maintenance efficiency and reducing associated costs.

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“…Moreover, AR technology relies on hardware, and the limitations of that hardware can impact its effectiveness. For example, low-quality cameras may not capture [195].…”

Section: Augmented Realitymentioning

confidence: 99%

“…Figure 11. Virtual training example of a microgrid operator: (a) virtual environment; (b) real environment[195].…”

mentioning

confidence: 99%

Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity

Irmak

Kabalcı

2023

Energies

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This paper provides a comprehensive review of the future digitalization of microgrids to meet the increasing energy demand. It begins with an overview of the background of microgrids, including their components and configurations, control and management strategies, and optimization techniques. It then discusses the key digital technologies that can be used to improve the performance of microgrids, including distributed energy resources management systems, the Internet of Things, big data analytics, blockchain technology, artificial intelligence, digital twin technology, cloud computing, and augmented reality. The paper also highlights the importance of cybersecurity in microgrids, identifying the potential security vulnerabilities and threats to microgrid cybersecurity, as well as strategies for addressing these challenges. Finally, the paper discusses the barriers and challenges regarding the digitalization of microgrids, including technical complexity, high implementation costs, regulatory barriers, data privacy and security concerns, lack of standardization, interoperability issues, limited technical expertise, and integration with the main grid. Overall, this paper demonstrates the significant potential for digital technologies to transform the future of microgrids. By leveraging advanced technologies and implementing effective cybersecurity measures, microgrids can become more efficient, reliable, and resilient, enabling them to meet the growing demand for energy and contribute to a sustainable energy future.

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Digital Twin Concept Developing on an Electrical Distribution System—An Application Case

Cited by 15 publications

References 42 publications

Resolving Perceptual Challenges of Visualizing Underground Utilities in Mixed Reality

Resolving Perceptual Challenges of Visualizing Underground Utilities in Mixed Reality

Simulation Modeling and Temperature Over-Advance Perception of Mine Hoist System Based on Digital Twin Technology

Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity

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