Fire Safety Assessment Of High-Rise Building Based On Neural Network

The high-rise building is integration of economy, technology and culture in modern society. For their high stories, large spatial spans and complex functions, once fires occur, the extinguishments are difficult and may cause heavy losses and disastrous consequences. Therefore, the reliability of techniques in fighting fires has drawn more and more attentions in recent years.According to the problems existing in the fire safety assessment of high-rise building management and assessment now, the research project of the safety assessment based on BP neural network was proposed and studied, and the author's original idea and methods was given out. We will plot out five orders about fire safety of high-rise building. By accommodating parameter of choosing dormant floor and confirming numbers of dormant floor node in BP neural network and algorithmic ameliorating, we have constituted the, model of fire risk assessment of high-rise building based on BP neural network. According to practical example and judge of expert on high-rise building, I have constituted stylebook of fire safety assessment system, the system of calling the police and putting out a fire, the system of evacuating safety and management system.Finally we have educated stylebook of fire risk assessment in high-rise building, used the software of MATLAB to educe educating infer chart of each subsystem, and have constituted model of fire safety assessment. Import test model and infer it. The final result indicates that BP neural network is an effective method and tool in the comprehensive safety assessment of construction installation sites.