Enterprise AI Analysis
Research on an Immersive Virtual Simulation System for Meteorological Science Popularization Based on Multi-Source Data
Authored by Tianming Wu, Zhigeng Pan, Wei Jinhai, Lin Zheng, Lifeng Zhang, and Xianxuan Lin.
Published on December 13, 2025 in VRCAI '25: The 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry.
This paper explores the development and implementation of an immersive virtual simulation system designed to revolutionize meteorological science popularization. By integrating multi-source geographic data and high-performance game engines, the system creates highly interactive and scientifically accurate virtual environments, addressing the limitations of traditional educational methods and enhancing public engagement with complex meteorological concepts.
Executive Impact & Key Metrics
This research demonstrates significant advancements in virtual simulation for science popularization, offering a powerful blueprint for engaging educational experiences and efficient knowledge transfer.
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Average System Usability Score (SUS)
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Knowledge Mastery Rate (Experimental Group)
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VR Performance (PICO 4)
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VR Loading Time (PICO 4)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
VR System Design & Implementation
Data Integration & Processing
Performance & User Experience
Transforming Meteorological Education with VR
The core of this research is the development of an immersive virtual simulation system that leverages advanced VR and game engine technologies (Unreal Engine 5). This system moves beyond traditional 2D graphics, creating a highly interactive and intuitive environment for understanding complex meteorological principles and macroscopic phenomena. It enables users to become active explorers rather than passive observers, significantly boosting engagement and learning effectiveness.
Key components include the integration of high-performance rendering capabilities, physics simulation, and cross-platform publishing, making it a robust solution for professional science popularization.
Seamless Multi-Source Data Integration
A significant challenge in creating realistic virtual environments is the seamless integration of diverse data sources. This paper details a comprehensive technical framework for preprocessing and coordinating geographic spatial data, including digital elevation models (DEM) and high-resolution remote sensing images.
High-precision 3D manual modeling, enhanced by drone aerial photography, is combined with scene integration and realistic rendering in UE5. This ensures centimeter-level accuracy and photo-realistic reproduction of real-world environments, addressing issues like data resolution mismatch and complex coordinate system conversions.
Optimized Performance & Enhanced User Experience
The system's performance is optimized using cutting-edge rendering technologies like Unreal Engine 5's Lumen for global illumination and Nanite for virtualized geometry. These technologies ensure ultra-high-fidelity real-time rendering without compromising performance, even for intricate models.
User experience evaluations confirm that the system significantly outperforms traditional methods in visual reproduction, user experience, and knowledge transmission efficiency. With an average SUS score of 85.5 and a high knowledge mastery rate, the system delivers an engaging, intuitive, and effective learning environment, accessible across PC, VR, and web platforms.
Enterprise Process Flow: Immersive Virtual Simulation System
Multi-Source Data Acquisition
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Coordinate System Alignment
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Macro-Terrain Generation (UE5)
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Micro-Scenario 3D Modeling (Blender)
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Scene Integration & Rendering
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Multi-Platform Deployment
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85.5
Average System Usability Score (SUS)
The experimental group achieved an average SUS score of 85.5, significantly exceeding the 'acceptable' standard of 68 points. This indicates high user satisfaction and ease of use for the immersive virtual simulation system, validating its user-centered design philosophy.
Case Study: "Baise City Online Meteorological Science Popularization Park"
The 'Baise City Online Meteorological Science Popularization Park' serves as a representative case study, demonstrating the practical application and effectiveness of the proposed framework. It successfully constructs high-fidelity, highly interactive, and cross-platform virtual science popularization scenarios for meteorological education.
Users can navigate a 1:1 scale virtual campus, observe detailed weather radar models, and interact with 3D animations of rainmaking rocket launches, significantly enhancing understanding and engagement compared to traditional methods. This project verifies the system's ability to create compelling and scientifically accurate outreach tools.
Calculate Your Potential AI Impact
Estimate the potential time and cost savings for your enterprise by integrating similar immersive simulation technologies.
Potential Annual Cost Savings
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Annual Hours Reclaimed
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Your AI Transformation Roadmap
Our structured approach ensures a smooth and effective integration of advanced AI solutions into your enterprise workflow.
Phase 1: Discovery & Strategy
In-depth analysis of your current systems, data, and business objectives to define the most impactful AI opportunities.
Phase 2: Data Engineering & Preparation
Cleaning, transforming, and structuring your multi-source data to create a robust foundation for AI models and immersive environments.
Phase 3: Model Development & Simulation Design
Designing and developing custom AI models and virtual simulation logic tailored to your specific needs, leveraging platforms like Unreal Engine 5.
Phase 4: Integration & Deployment
Seamlessly integrating the AI-powered simulation system into your existing IT infrastructure and deploying it across target platforms (PC, VR, Web).
Phase 5: Optimization & Training
Continuous monitoring, performance tuning, and providing comprehensive training for your team to maximize adoption and impact.
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