Intelligent Fire Protection System Design Based On Fire Simulation And Multi-data Fusion

"Smart firefighting" is the use of Internet of Things,artificial intelligence,virtual reality and other technologies with big data cloud computing platform,fire alarm intelligent judgment and other professional applications to achieve intelligent urban firefighting,improve information processing capabilities,improve management effects,enhance rescue capabilities,reduce fire hazards.Compared with traditional firefighting,its intelligence is reflected in several aspects: intelligent prevention and control,intelligent management,intelligent combat,and intelligent command.In the current intelligent fire protection research,the core is the intelligence of fire early warning and emergency evacuation,so this paper aims to realize intelligent fire identification and adaptive evacuation design based on the structure of a university theater building,and provide support for intelligent fire protection design research.BIM(Building Information Modeling) as an emerging architectural design method,has been widely used at home and abroad,considering the difficulty of fire experiments,this paper first based on the target building 1:1 modeling,including the layout of fire detectors and fire protection system related design,on this basis according to the research needs of different types of fire(including small space slow fire,small space rapid fire,large and medium-sized space fire)simulation simulation,Analyze its fire characteristics and obtain various physical data to provide support for the intelligent fire identification and evacuation design in the future.Compared with the traditional single fire detector,the information synthesis of multiple sensors can obtain fire field information more comprehensively and improve the reliability of fire warning.In this paper,three types of detectors are selected for multi-sensor information fusion,based on the data of four test fires of GB 4715-2005,the neural network model is used to extract the information of fire categories from a variety of physical information,and on this basis,the fuzzy controller is further combined with the fire protection level of the building to estimate the fire danger,and the effect of the algorithm is verified based on the slow and rapid fire of the leisure room and the powder room.Considering the need for a large number of fire detectors to form an array in a large room,and the detectors are often disturbed by the environment in actual work,this paper designs an adaptive weighted fusion algorithm for the fusion of multiple detectors on the same physical quantity detection results,the algorithm can adaptively generate weights through the detection data of recent times,so that the final weighted results have the least additional white noise content and improve the reliability of the detection system.On this basis,the detector array layout and fire protection design are carried out for the large-scale space fire in the studio to achieve intelligent identification and response to such fires.Based on the results of intelligent fire identification,intelligent evacuation design is carried out based on ant colony algorithm,and the secondary ant colo ny algorithm is optimized and designed by establishing a three-layer grid model to improve the effect and real-time nature of path optimization,and realize adaptive path planning for building fire conditions to guide the evacuation of personnel under different fire conditions.