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3D spatial information for fire-fighting search and rescue route analysis within buildings

机译:用于建筑物内消防搜索和救援路线分析的3D空间信息

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摘要

This study is motivated by the need for a micro-geographic information system (CIS) to represent and analyze 3D spatial data for the plotting of fire-fighting search and rescue routes within buildings. The CIS uses a 3D geometric network model (GNM) and the Dijkstra algorithm to consider smoke movement during different times of a building fire. Therefore, the route calculation algorithm can avoid routes through heavy smoke within buildings. In addition, when firefighters must search an area to find victims, the GNM and Ant Colony Optimization are applied to find the shortest path that passes through each room of the area. Finally, the GNM is implemented to perform a search and rescue route analysis from an actual underground station. The proposed method can not only provide the shortest safe route within a building but can also minimize the time required to search for potential victims.
机译:这项研究的动机是需要微地理信息系统(CIS)来表示和分析3D空间数据,以绘制建筑物内的消防搜索和救援路线。 CIS使用3D几何网络模型(GNM)和Dijkstra算法来考虑建筑物火灾不同时期的烟雾运动。因此,路线计算算法可以避免路线穿过建筑物内的浓烟。此外,当消防员必须搜索区域以找到受害者时,将应用GNM和蚁群优化来查找经过该区域每个房间的最短路径。最后,GNM被实现为从实际的地下站执行搜索和救援路线分析。所提出的方法不仅可以提供建筑物内最短的安全路线,还可以最小化寻找潜在受害者的时间。

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