Research On Super High-rise Building's Fire Emergency Evacuation System Based On Internet Of Things

On contemporary, when the accelerating development of the Internet produces big data, the big data also accelerates the rapid evolution of the Internet at the same time. The Internet of things is an important part of the Age of big data and we should be reckoned with it. To be one type of immature building, when the fire happens, we will face a huge monetary loss. So in this paper, I take effort to construct the super high-rise building's fire emergency evacuation system based on Internet of things. It must have a great influence on researches about fire surveillance and personnel emergency evacuation. In study, I divided this system into four part, which include one system global structure and three modules. The three modules are data acquisition module, information analysis module and decision module.The overall structure of the system research is the foundation of system design and it's also the starting and end-result of module researches. On this research, I analyze the general structure of the high-rise building fire detection system at first. Then, I split the system into three modules and study of these modules one by one.Information analysis module is a bridge that links the data acquisition module and decision processing module. So in this module, I focus on two parts: the first one is the network node based on Internet of things; the second one is the arrangement about these detectors. I use design specifications to determine nodes for constructing a reasonable fire detection network. Then, I research from the perspective of economy, designing a new type of fire detector points optimization method by introducing a Stackelberg model.The cross researching about Brain and the Internet shows that there is a striking similarity between the two. So applying this theory to the study about information analysis module can get rid of the traditional thought of one subject, putting forward an innovative design concept about two subjects, which means regard the system as the main body too. Then, according to studying the dynamic game relation between them, we can make more scientific and reasonable decisions.Data acquisition and information analysis are both for the final decision, I pay more attention to the evacuation path optimization research in decision module. Firstly, four main factors are chosen. Secondly, I quantificat the index weight by using the improved method based on grey correlation degree. Then, I construct the equivalent single weight emergency evacuation network diagram abstractly according to the architectural drawings. Finally, two classical algorithm ——Dijkstra algorithm and Floyd algorithm are voted by using Matlab as an auxiliary computing tools. After actual analysis, Dijkstra algorithm is selected to find out the optimal emergency evacuation route.We should continue to bring the new through the old in study. In this paper, I bring new breakthrough to the research on high-rise buildings, no matter on capital cost or on emergency management, which will guide the development of super highrise building.