On the Architecture and Key Technology for Digital Twin Oriented to Equipment Battle Damage Test Assessment

Song, Mingchang; Shi, Quan; Hu, Qiwei; You, Zai-Jin; Chen, Lei

doi:10.3390/electronics12010128

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…The findings revealed that the robot financial advisory service, which was enabled by DTT, transcended temporary financial assistance and evolved into a user-centric, comprehensive, and dynamic financial advisory service. Chen et al (2022) [16] proposed a novel approach by integrating blockchain and deep learning to build a Digital Twins model for managing the coronavirus disease 2019 (COVID-19) pandemic. The model, which was based on blockchain and Bi-directional Long Short-Term Memory, demonstrated exceptional network security performance and significantly improved information interaction efficiency and accuracy.…”

Section: Overview Of Digital Twins Theorymentioning

confidence: 99%

“…In this framework, the Digital Twins method can utilize real-time environment and operational data to improve the estimation of the probability of specific vessels complying with regulations during navigation, and is universal in handling various decarbonization regulations. In addition, Song et al (2022) [96] investigated the application characteristics of DTT in battle damage tests and marine industrial equipment evaluation. They developed a DTS for this purpose, and their findings offered theoretical references and methodological guidance for utilizing DTT in marine battlefield damage assessment.…”

Section: Application Status Of Dtt In the Marine Emerging Energy Indu...mentioning

confidence: 99%

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Digital Twins in the Marine Industry

Fridenfalk

2023

Electronics

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The ocean holds abundant resources, but the utilization of those resources for the marine economy presents a complex and dynamic industrial situation. Exploring sustainable development in this industry is of practical value, as it involves the rational use of marine resources while protecting the environment. This study provides an innovative review of the current application status of Digital Twins Technology (DTT) in various sectors of the marine industry, including the ship-building industry (SBI), Offshore Oil and Gas Industry, marine fishery, and marine energy industry. The findings reveal that DTT offers robust support for full life cycle management (LCM) in SBI, including digital design, intelligent processing, operation, and error management. Furthermore, this work delves into the challenges and prospects of DTT application in the marine industry, aiming to provide reference and direction for intelligent systems in the industry and guide the rational development and utilization of marine resources in the future.

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Section: Overview Of Digital Twins Theorymentioning

confidence: 99%

Section: Application Status Of Dtt In the Marine Emerging Energy Indu...mentioning

confidence: 99%

Digital Twins in the Marine Industry

Fridenfalk

2023

Electronics

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“…3. Key technologies for damage effectiveness assessment include ship information aggregation, environmental awareness, decision planning, projectile motion process simulation, and damage probability statistics [31]. The implementation hierarchy of the virtual damage effectiveness test is depicted in Fig.…”

Section: Construction Of the Virtual Test Scenario For Damage Effecti...mentioning

confidence: 99%

A Virtual Reality Approach to the Assessment of Damage Effectiveness of Naval Artillery Ammunition Against Unmanned Surface Vessels

Yang,

Zhong,

Zhang

et al. 2023

IEEE Access

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Conventional evaluations of naval artillery's destructive prowess are dependent on resourceintensive sea trials, which are neither economically viable nor advantageous for the cultivation of combat intelligence. To circumvent these limitations, we propose a method rooted in virtual reality for assessing the destructive efficacy of naval artillery ammunition against unmanned maritime targets. Leveraging the Unity3D engine, we construct a high-fidelity virtual testing environment and design corresponding testing tasks. The offensive strategy is devised considering the naval artillery's damage radius and range, incorporating factors such as the warhead's velocity, and determining its launch angle and direction. Following this, the projectile's trajectory is computed employing the point mass motion equation, facilitating the simulation of the projectile's entire life cycle trajectory. A Monte Carlo based model has been developed for assessing the damage effectiveness of naval artillery ammunition against unmanned boats. This model enables quantitative calculation of ammunition usage under varied damage probabilities, addressing issues related to the complexity of the testing process, the limited number of tests, and the challenges in computing damage probabilities for target impacts of naval artillery ammunition. The findings corroborate the precision and stability of the virtual reality based assessment method for naval artillery ammunition damage effectiveness against unmanned surface vessels in combat simulations. This verification holds substantial importance for enhancing the computation accuracy of damage effectiveness associated with naval artillery ammunition.

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“…Next, research on digital twin design and execution strategy for equipment battle damage test evaluation was assessed, which is significant for the development of digital twin battlefield construction and battle damage assessment [30].…”

Section: Related Workmentioning

confidence: 99%

Towards Digital Twins of 3D Reconstructed Apparel Models with an End-to-End Mobile Visualization

et al. 2023

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Digital twin technologies are still developing and are being increasingly leveraged to facilitate daily life activities. This study presents a novel approach for leveraging the capability of mobile devices for photo collection, cloud processing, and deep learning-based 3D generation, with seamless display in virtual reality (VR) wearables. The purpose of our study is to provide a system that makes use of cloud computing resources to offload the resource-intensive activities of 3D reconstruction and deep-learning-based scene interpretation. We establish an end-to-end pipeline from 2D to 3D reconstruction, which automatically builds accurate 3D models from collected photographs using sophisticated deep-learning techniques. These models are then converted to a VR-compatible format, allowing for immersive and interactive experiences on wearable devices. Our findings attest to the completion of 3D entities regenerated by the CAP–UDF model using ShapeNetCars and Deep Fashion 3D datasets with a discrepancy in L2 Chamfer distance of only 0.089 and 0.129, respectively. Furthermore, the demonstration of the end-to-end process from 2D capture to 3D visualization on VR occurs continuously.

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On the Architecture and Key Technology for Digital Twin Oriented to Equipment Battle Damage Test Assessment

Cited by 8 publications

References 35 publications

Digital Twins in the Marine Industry

Digital Twins in the Marine Industry

A Virtual Reality Approach to the Assessment of Damage Effectiveness of Naval Artillery Ammunition Against Unmanned Surface Vessels

Towards Digital Twins of 3D Reconstructed Apparel Models with an End-to-End Mobile Visualization

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