用数字孪生+智能代理构建实时火灾管理虚拟指挥室。
Digital Twin and Agentic AI for Wild Fire Disaster Management: Intelligent Virtual Situation Room
- 构建双向数字孪生平台，融合多源数据生成火场实时虚拟副本。
- 实现从发现到响应延迟显著降低，资源调度更高效。
- 适合灾害应急、智慧城市与智能防灾系统研发者参考。
联合国预测，受全球变暖影响，野火频率和强度到2030年将增加约14%，到2050年增加30%，严重威胁生命、基础设施与生态系统。传统灾害管理体系依赖静态模拟和被动数据采集，难以实时应对不断演变的野火事件。为此，我们提出智能虚拟态势室（IVSR），一个由自主AI代理增强的双向数字孪生（DT）平台。IVSR持续接入多源传感器图像、气象数据与3D森林模型，构建火场实时虚拟副本。基于AI的相似性引擎将当前状况与预计算的灾害仿真库匹配，检索并校准应对策略，专家全程监督。授权操作——如无人机重新部署或救援队调配——通过标准化流程反馈至物理层，完成响应与分析闭环。通过工业合作伙伴提供的案例研究仿真验证，IVSR在局部事件检测、隐私保护回放、基于碰撞器的火势蔓延预测及站点特定机器学习再训练方面表现优异。结果表明，相比传统系统，其检测至干预延迟明显下降，资源协调更有效。通过融合实时双向数字孪生与代理型AI，IVSR为前瞻性、自适应的野火灾害管理提供了可扩展的半自动化决策支持范式。
原文摘要 · Abstract (English)
According to the United Nations, wildfire frequency and intensity are projected to increase by approximately 14% by 2030 and 30% by 2050 due to global warming, posing critical threats to life, infrastructure, and ecosystems. Conventional disaster management frameworks rely on static simulations and passive data acquisition, hindering their ability to adapt to arbitrarily evolving wildfire episodes in real-time. To address these limitations, we introduce the Intelligent Virtual Situation Room (IVSR), a bidirectional Digital Twin (DT) platform augmented by autonomous AI agents. The IVSR continuously ingests multisource sensor imagery, weather data, and 3D forest models to create a live virtual replica of the fire environment. A similarity engine powered by AI aligns emerging conditions with a precomputed Disaster Simulation Library, retrieving and calibrating intervention tactics under the watchful eyes of experts. Authorized action-ranging from UAV redeployment to crew reallocation-is cycled back through standardized procedures to the physical layer, completing the loop between response and analysis. We validate IVSR through detailed case-study simulations provided by an industrial partner, demonstrating capabilities in localized incident detection, privacy-preserving playback, collider-based fire-spread projection, and site-specific ML retraining. Our results indicate marked reductions in detection-to-intervention latency and more effective resource coordination versus traditional systems. By uniting real-time bidirectional DTs with agentic AI, IVSR offers a scalable, semi-automated decision-support paradigm for proactive, adaptive wildfire disaster management.
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