Research On The IoT Based Fire Monitoring And Decision-Making System

With the continuous development of society,the fire hazards are increasingly serious,due to the fact urban buildings are becoming more and more complex.Hence,the need for building fire monitoring and decision-making analysis is urgent.However,the existing fire monitoring systems which are independent of each other lack information sharing,and have high cost of development and maintenance,as well as serious waste of IT resources.Based on the Internet of things(IoT)and cloud computing technology,this paper not only puts forward IoT monitoring and decision-making system for fire,but also studies key technologies.The major work includes:(1)The framework of fire monitoring and decision making system based on the IoT is put forward.To realize the fire data acquisition and transmission in buildings,IOT monitoring node,handset client,user information transmission module and other key components are designed.Also.TCP/IP protocol and RFID technology are studied.(2)By virtualizing server resource based on Hyper-v manager,resource pool and network architecture of the cloud computing center are designed;Data processing program and database system are designed to achieve unified processing and storage of all buildings fire data.(3)Building the fire domain ontology model,combined with the Sparql query language,analytic hierarchy process and custom rules to complete the query and reasoning,the comprehensive evaluation of fire safety conditions and solving measures are realized to provide decision-making guidance to the fire management center;A prediction model based on genetic algorithm and ARMA is proposed to realize the accurate prediction of fire water pressure,and to provide auxiliary decision for fire management center.(4)For users of cloud services,the development of mobile Android client,mobile iOS client and PC client application are realized to achieve the functions of real-time monitoring,real-time alarm,maintenance management,data analysis,pressure prediction and comprehensive safety evaluation for building fire status.Taking a building unit as an example,the device operation of the system sensing transfer layer,the data processing in the cloud computing center and the running status of the application are tested and verified.The results show that the fire monitoring and decision-making system developed in this paper can realize the centralized remote monitoring,real-time alarm,data statistics and decision analysis for fire protection of buildings,contributing greatly to fire prevention and disaster safety.