Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (12): 1464-1475.doi: 10.11947/j.AGCS.2016.20160053

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A Dynamic Optimization Method of Indoor Fire Evacuation Route Based on Real-time Situation Awareness

DING Yulin1,2,3, HE Xiaobo4, ZHU Qing1,2, LIN Hui3, HU Mingyuan3   

  1. 1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
    2. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-speed Rail Safety, Southwest Jiaotong University, Chengdu 611756, China;
    3. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;
    4. Chongqing Geomatics Center, Chongqing 401121, China
  • Received:2016-01-22 Revised:2016-10-28 Online:2016-12-20 Published:2017-01-02
  • Supported by:
    The National Natural Science Foundation of China (Nos.41501421,41471320),The Foundation of Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying,Mapping and Geoinformation,Open Research Fund of State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing (No.15I01)

Abstract: How to provide safe and effective evacuation routes is an important safeguard to correctly guide evacuation and reduce the casualties during the fire situation rapidly evolving in complex indoor environment. The traditional static path finding method is difficult to adjust the path adaptively according to the changing fire situation, which lead to the evacuation decision-making blindness and hysteresis. This paper proposes a dynamic method which can dynamically optimize the indoor evacuation routes based on the real-time situation awareness. According to the real-time perception of fire situation parameters and the changing indoor environment information, the evacuation route is optimized dynamically. The integrated representation of multisource indoor fire monitoring sensor observations oriented fire emergency evacuation is presented at first, real-time fire threat situation information inside building is then extracted from the observation data of multi-source sensors, which is used to constrain the dynamical optimization of the topology of the evacuation route. Finally, the simulation experiments prove that this method can improve the accuracy and efficiency of indoor evacuation routing.

Key words: sensor data, indoor fire, dynamic emergency evacuation, situation awareness, route optimization

CLC Number: