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Automated construction of variable density navigable networks in a 3D indoor environment for emergency response

机译:在3D室内环境中自动构建可变密度可导航网络以应对紧急情况

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摘要

Widespread human-induced or natural threats on buildings and their users have made preparedness and quick response as crucial issues for saving human lives. Available information about an emergency scene, e.g. the building structure, material and trapped people helps for decision-making and organizing rescue operations. The ability to evaluate potential scenarios for human evacuation, and then identifying the paths of egress during an emergency is critical for rescue and emergency services. Good quality models supporting real, or near-real, time decision-making and allowing the implementation of automated methods are highly desirable. In this paper, we propose a new automated method for deriving a navigable network in a 3D indoor environment, including a full 3D topological model which may be used not only for standard navigation but also for finding alternative egress routes and simulating phenomena associated with disasters such as fire spread and heat transfer.
机译:建筑物及其使用者受到广泛的人为或自然威胁,已经做好准备并作出快速反应,这是挽救生命的关键问题。有关紧急情况的可用信息,例如建筑结构,物资和被困人员有助于决策和组织救援行动。评估潜在人员疏散情况,然后在紧急情况下确定出路的能力对于救援和紧急服务至关重要。高质量的模型支持实时或接近实时的决策,并允许实施自动化方法是非常需要的。在本文中,我们提出了一种用于在3D室内环境中推导可导航网络的自动化方法,其中包括完整的3D拓扑模型,该模型不仅可用于标准导航,还可用于寻找替代的出口路线并模拟与灾害相关的现象,例如随着火势蔓延和传热。

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