Font Size: a A A

A Dynamic Optimization Method For Indoor Fire Evacuation Route With Real-time Situational Awareness

Posted on:2017-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:X B HeFull Text:PDF
GTID:2272330485477453Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
How to provide safe and effective evacuation routes is an important safeguard to correctly guide evacuation and reduce 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 led to the evacuation decision-making blindness and hysteresis. This paper propose a method which can dynamically optimize indoor evacuation routes with real-time situation awareness. According to real-time perception of fire situation parameters and the changing indoor environment information, it will adjust and optimize the evacuation plan dynamically. The main contents of this research are organized as follows:(1) Firstly introduces the background and significance of this paper, and summarizes the situation and the development trend of the indoor fire emergency evacuation researches at home and abroad, and puts forward the purpose of this study and research content.(2) Catalogued for indoor fire sensors, establish sensor semantic description model oriented fire events, and integrated manage these multi-source heterogeneous sensors resource using the wireless sensor network technology, building indoor fire sensor network service platform, and support dynamic indoor fire events perception and building interior space dynamic analysis of the integration of semantic expression, to effectively support based on correlation analysis of sensor dynamic volume capability building fire threat situation;(3) On the basis of the effective integration of multi-source sensors, real-time perception of high dynamic changing environment of indoor fire, build real-time threat situation information field model of indoor fire environment;(4) Create buildings indoor three-dimensional geometric network model using node-relation structure based on graph theory, and according to the real-time indoor fire environmental threat situation information field update indoor geometric network model, get the latest state of interior space connectivity. Dijkstra shortest path algorithm is used to calculate the evacuation path based on the real-time indoor three-dimensional geometric network model, to realize the dynamic optimization method of the shortest path taking account of the affect of real-time changing building indoor fire environment.In order to verify the correctness of the method and the feasibility of evacuation plan, the 3D-model of Xinjiang International Convention and Exhibition center are taken as the experimental data. three fire events have occurred sequentially in the process of the indoor fire and set up three fire different scenario respectively, through the simulation experiment, it proves that the dynamic adjustment of evacuation plan according to the fire situation, can effectively reduce the emergency evacuation time and reduce the blindness of evacuation, thus it can provide theory support for the smart city public safety emergency.
Keywords/Search Tags:Sensor Data, Indoor Fire, Dynamic Emergency Evacuation, Situation Awareness, Route Optimization
PDF Full Text Request
Related items