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基於擁擠問題的室內逃生導引演算法 與系統之建立
Thesis

基於擁擠問題的室內逃生導引演算法 與系統之建立

林敬智
Masters, 國立清華大學, 動力機械工程學系
2015

Abstract

室內逃生 人群擁擠 最短路徑演算法 物聯網 Indoor escape Congestion Problem Shortest Path Internet of Thing
This paper integrated indoor evacuation navigation algorithm and system applications. Indoor evacuation navigation system use the micro-controller board of Zigbee (TI-CC2530) connected to sensors to become environmental monitoring IOT. User interface by C# and Android application can monitor environment information in normal state. When the hazardous situation occurs, the system can immediately detect danger and notify users. User can follow the route to safety exit by indoor evacuation navigation algorithm. Taiwan has high population density and narrow interior architectural space. Once the emergency occurs, asylum seekers easily get nervous and push other people in the escape process, even cause stampede problems. This paper proposes indoor evacuation navigation algorithm based on congestion. To find the escape route which avoid the dangerous and large crowds place. Improve the efficiency of people escape. This paper also proposes indoor evacuation navigation system to help people escape. Build the wireless sensing network by Zigbee to sense the environment data, user interface gather environment information and save it to database. We also build the environment sensing web and develop the Android application, users can use it to get environment information. When wireless sensing network detects dangerous situation occurs, system sends escape route to Android application and user interface, illumination navigation system guide the people to safety exit. Provides users all-around user environment and dangerous notification program.

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