![]() Acta Geodaetica et Cartographica Sinica 45(12): 1464–1475. ![]() ĭing YL, He XB, Zhu Q et al (2016) A dynamic optimization method of indoor fire evacuation route based on real-time situation awareness. Ĭhou JS, Cheng MY, Hsieh YM et al (2019) Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance. Ĭhoi J, Kim I (2014) Development of BIM-based evacuation regulation checking system for high-rise and complex buildings. Ĭheng MY, Chiu KC, Hsieh YM et al (2017) BIM integrated smart monitoring technique for building fire prevention and disaster relief. Ĭhen XS, Liu CC, Wu IC (2018b) A BIM-based visualization and warning system for fire rescue. The effectiveness of the proposed method is verified by constructing a prototype system for the analysis.Ĭhen J, Wang J, Wang B et al (2018a) An experimental study of visibility effect on evacuation speed on stairs. Through the BIM 3D model, the dynamic fire escape path can be visualized for the evacuees. When the congestion is predicted, the corresponding evacuation process is carried out to avoid the hazard caused by the fire escape and crowding so as to realize rapid escape at the scene of fire. The multi-person escape path planning predicts the congestion according to the single-person escape route. The Dijkstra algorithm is used to derive the shortest escape route with BIM integration information, and the fire spread simulation data and escape speed are used to predict and correct the path to achieve the best escape path planning in real-time dynamic. ![]() The single-person escape path planning uses real-time dynamic methods to locate the evacuee and obtain the fire situation. This method is designed for path planning for the single and multi-person escapes. The method uses a Fire Dynamic Simulator (FDS) to simulate the spread of the fire and analyzes the simulated data of BIM model, and dynamically adjusts simulation of the spread of fire according to the real-time situation of fire. Aiming at the current research on the escape path of complex building fires with the problem about lack of path prediction correction and multi-person escape, this paper proposes an analytical method of real-time dynamic escape path prediction based on Building Information Model (BIM).
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