High-level Fire Rescue Methods And Development Of Software Platform Based On The Internet Of Things

With the acceleration of social urbanization,a large number of high-rise buildings have emerged.The high-rise building and the complexity of the structure have brought new challenges to building fire protection.How to quickly respond to fires,reduce secondary disasters,and ensure the safety of property and life is an important issue for fire rescue work.Research on high-level rescue methods based on the Internet of Things has important significance.Based on the analysis of the research status of domestic and foreign fire rescue methods,in view of the low utilization rate of fire response time in personnel rescue and the lack of information interaction between rescuers and trapped personnel,a high-level fire rescue method based on the Internet of Things was proposed;a software platform for information interaction based on mobile rescue App was developed;the influence of the location of the fire point,the location of the fire layer and the wind direction on the fire spread of the indoor and outer walls was analyzed,and the influence of the evacuation plan,the rescue path of the rescue cabin and the escape path of the people on the efficiency of the crowd evacuation under the influence of smoke was studied;based on information fusion and ant colony algorithm,a personalized rescue algorithm and a collective rescue algorithm were designed to plan the escape path of the trapped persons and the rescue path of the rescue capsule.On the basis of the above research,the reliability of the proposed method was verified through functional test and field rescue response test.The experimental results show that: the personnel rescue method based on the Internet of Things,which establishes a multi-channel information collection,fusion,decision-making,and feedback mechanism,and the combines of active rescue and passive rescue,can greatly shorten the fire response time and increase the probability of escape.The research results of this paper provide a new idea for solving the problems of reducing firefighting response time and realizing information interaction between firefighters and trapped persons.