Exploring geospatial digital twins: a novel panorama-based method with enhanced representation of virtual geographic scenes in Virtual Reality (VR)

International Journal of Geographical Information Science, Год журнала: 2024, Номер 38(11), С. 2301 - 2324

Опубликована: Авг. 1, 2024

An important step in implementing geospatial digital twins is to enhance the expressiveness of virtual geographical scenes for physical world. However, existing cannot quickly express dynamically changing geographic environment remote users due inefficient handling modeling processes, user perception, and sharing. The research analysed concept characteristics twins, constructed scene ontology, based on which we developed spatiotemporal semantic rules designed a dynamic annotation algorithm representation scenes. Finally, investigated real-time transmission method panoramic video 5 G used immersive reality (IVR) realize experience immersion We selected specific containing multiple typical entities develop three prototype systems experimental analyses. results showed that proposed enabled view VR device. average latency this process was 14.72 seconds. Compared with by traditional methods, experiments advantageous comprehensiveness, timeliness, photorealism abilities user's perception.

Язык: Английский

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A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 12(10), С. 424 - 424

Опубликована: Окт. 15, 2023

Informatization is an important trend in the field of mountain highway management, and digital twin effective way to promote information management due complex diverse terrain mountainous areas, high complexity road scene modeling low visualisation efficiency. It challenging construct scenarios efficiently for highways. To solve this problem, article proposes a knowledge-guided fusion expression method scenes First, we explore features interrelationships establish knowledge graph scenes. Second, by utilizing spatial semantic constraint rules, achieve efficient basic geographic dynamic static ancillary facilities, thereby reducing modeling. Finally, multi-level publishing scheme established improve efficiency visualisation. On basis, prototype system developed, case experimental analysis conducted validate research. The results experiment indicate that suggested can accomplish modelling through guidance constraints. Moreover, construction time model less than 5.7 ms; meanwhile, drawing maintained above 60 FPS. Thus, twinned be achieved quickly efficiently, effect replicating reality with virtuality accomplished, informatisation capacity highways enhanced.

Язык: Английский

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Low-Cost, LiDAR-Based, Dynamic, Flood Risk Communication Viewer

Remote Sensing, Год журнала: 2025, Номер 17(4), С. 592 - 592

Опубликована: Фев. 9, 2025

This paper proposes a flood risk visualization method that is (1) readily transferable (2) hyperlocal, (3) computationally inexpensive, and (4) geometrically accurate. proposal for communication, to provide high-resolution, three-dimensional at the sub-meter level. The couples laser scanning point cloud with algorithms produce textured floodwaters, achieved through compounding multiple sine functions in graphics shader. hyper-local approach enhanced by ability portray changes (i) watercolor, (ii) texture, (iii) motion (including dynamic heights) various prediction scenarios. Through decoupling physics-based predictions from visualization, dynamic, viewer was produced modest processing resources involving only single, quad-core processor frequency around 4.30 GHz no card. system offers several major advantages. enables its use on browser or virtual reality hardware and, thus, promotes local dissemination planning, mitigation. can be used any scenario where water interfaces built environment, including inside of pipes. When tested coastal inundation hurricane, 92% neighborhood participants found it more effective communicating than traditional 2D mapping warnings provided governmental authorities.

Язык: Английский

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AI-Assisted Urban Flood Prevention Services Decision-Making Framework With Multi-Dimensional Data Fusion via Govern-Intranet

International Journal of Web Services Research, Год журнала: 2025, Номер 22(1), С. 1 - 25

Опубликована: Май 7, 2025

Urban flood prevention faces challenges in real-time monitoring, data integration, and decision-making support, particularly under constraints of sensitive security efficient emergency response. This study proposes an artificial intelligence-assisted framework for urban prevention, integrating multi-dimensional fusion via intranet. A city-level digital twin platform is developed, combining sensor data, meteorological information, social media using a geographic information system, the Internet Things, intelligence algorithms. The ensures secure processing through intranet-based operations, enhancing prediction accuracy response efficiency. system was successfully implemented Hebi City, Henan Province, demonstrating significant improvements risk management. research advances resilience provides scientific basis management smart cities.

Язык: Английский

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A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Июнь 5, 2025

Язык: Английский

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Multilevel data simplification methods for flood process visualizations based on visual perceptions

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Март 26, 2024

Visualizations of flood processes require a balance between scientific authenticity and realistic expressions. As the area increases, amounts time-series data that are produced by models often exceed capacity computer rendering, leading to poor user experiences low visualization effectiveness. Therefore, this study carried out visual perception experiments proposed multilevel simplification scheduling method for process based on perceptions. This first simplifies feature point selection according conclusions related perception, then triangulated irregular networks built, finally, rendering achieved through multiple levels detail combined with ranges. An experimental analysis using 3D prototype system shows can improve efficiency expressions while preserving morphology features.

Язык: Английский

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Server-enabled mixed reality for flood risk communication: On-site visualization with digital twins and multi-client support

Environmental Modelling & Software, Год журнала: 2024, Номер 177, С. 106054 - 106054

Опубликована: Апрель 24, 2024

Язык: Английский

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3D visualisation method for urban road waterlogging based on mobile augmented reality

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Июль 16, 2024

3D waterlogging visualisation is an immersive method to understand how water accumulates in specific areas. Since urban involves complex subsystems above and below the ground, augmented reality (AR) especially effective for risk perception. In this paper, a road based on mobile proposed. The situation simulated by integrating open-source Storm Water Management Model (SWMM) Weighted Cellular Automata 2D Inundation (WCA2D). pipe network inundation volume objects are constructed organised as basic geospatial AR visualisation. Then, flow results mapped fused with objects, achieving enhanced reality. applied case study Wuhan, China. demonstrate that underground drainage surface runoff processes can be presented intuitively from perspective of AR. scene rendering multilevel index smooth, FPS more than 30 frames. This research provides methodological practical references general public increase awareness make emergency decisions.

Язык: Английский

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Local-Peak Scale-Invariant Feature Transform for Fast and Random Image Stitching

Sensors, Год журнала: 2024, Номер 24(17), С. 5759 - 5759

Опубликована: Сен. 4, 2024

Image stitching aims to construct a wide field of view with high spatial resolution, which cannot be achieved in single exposure. Typically, conventional image techniques, other than deep learning, require complex computation and are thus computationally expensive, especially for large raw images. In this study, inspired by the multiscale feature fluid turbulence, we developed fast point detection algorithm named local-peak scale-invariant transform (LP-SIFT), based on local peaks method. By combining LP-SIFT RANSAC stitching, speed can improved orders compared original SIFT Benefiting from adjustable size interrogation window, demonstrates comparable or even less time commonly used algorithms, while achieving better results. Nine images (over 2600 × 1600 pixels), arranged randomly without prior knowledge, stitched within 158.94 s. The is highly practical applications requiring diverse application scenes, e.g., terrain mapping, biological analysis, criminal investigation.

Язык: Английский

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A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(3), С. 78 - 78

Опубликована: Фев. 29, 2024

It is essential to establish a digital twin scene, which helps depict the dynamically changing geographical environment accurately. Digital twins could improve refined management level of intelligent tunnel construction; however, research on models primarily focuses modeling and visual description, has low analysis efficiency. This paper proposes knowledge-guided method for geometric deformation excavation profile twins. Firstly, dynamic data-driven knowledge graph scenes was constructed describe Secondly, an diagnosis algorithm contour designed by guidance. Thirdly, multiple variables were jointly used support scene fusion visualization scenes. Finally, case selected implement experimental analysis. The results demonstrate that in this article can achieve accurate description objects their relationships scenes, supports rapid twin. speed increased more than 90% cognitive efficiency improved 70%. complexity difficulty operation are reduced, diagnostic ability standardization geographic model effectively improved.

Язык: Английский

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