Warning Management System For Sudden Cluster Events In Public Buildings

Into the 21st century, human tragedy caused by terrorist attacks, natural disasters, man-made accidents and other emergencies constantly reminding us that public safety is an important prerequisite for normal human life. Public buildings are important place for human activities, with the characteristics of high concentration of population. In case of emergencies, such as fires, earthquakes or terrorist attacks, disastrous consequences will be happened, and social stability and normal development will be affected seriously. Therefore, how to prevent emergencies and establish good early warning system are important issues that public building managers must to be faced.Crowd concentration is typical feature of public buildings, personnel security is the core of public buildings security, and modern public buildings need to be provided a smart, dynamic warning management system. Crowd concentration Phenomenon in public buildings is referred to as "clusters" in this paper, and warning management system for sudden cluster events in public buildings has been studied.First, difference between warning management and emergency management had been distinguished. Event mechanism analyses, risk identify and diagnosis, pre-control measures has been classified as three main elements in early-warning management, and provides a research framework for follow-up section.Through research from 2005 to 2008 emergency incidents occurred in public building, the occurrence of unexpected events cause and effect in public buildings has been summed up, and a structural equation model has been established, using AMOS and SPSS software to verify. It's showed that place in our public buildings, emergency, whether fire, explosion or structural damage to public buildings are easy to evolve into a cluster event, both the primary cluster events, including secondary cluster events, formed a public building in China emergencies evolution model for the study follow-up study.The risk sources of cluster events has been analysed and summarized the risk of evolution. Early warning indicators, including indicators of the crowd, emergency evacuation indicators, sentiment indicators and indicators of emergency preparedness, public buildings have been analysed and given some quantitative indicators of the formula. Sudden cluster of cases from 2005 to 2008 of public buildings as the typical sample to be considered, based on catastrophe theory of public buildings warning sudden cluster of events classification model for analysis and evaluation of Mutation Series, have been taken into account saturation of public buildings, the crowd sentiment indicators, construction management indicators and safety accidents, including early warning indicator of the general scope of classification mutation series, and validated the use of examples.Design of pre-control measures to sudden cluster in public buildings has been discussed. In this paper, pre-control measures of cluster emergency including two aspects:evacuation plans and psychological counseling plan. The design of the evacuation plan has been constructed firstly based on the Link-Node network of construction space, then analysed the basic model of crowd evacuation plan. Evacuation route choice problem has been analysed when individuals among populations caused by poor information transfer from the perspective of Game theory, and cited examples of the validation and analysis. Psychological counseling plan has been designed by signaling game model, showed that information transfer play important role in the emergency evacuation in public buildings.An early warning management system was constructed. Integrated space network model, crowd monitoring system, density identification sensor systems, and early warning information transfer system based on GSM. Based on research results of previous chapters, the pre-control measures has been started, calculated the best path for evacuation options and eventually transmitted evacuation information reach crowd within the public buildings, so as to achieve early warning purposes.