Research On The Iot Based Fire Monitoring And Early Warning System

As urban buildings are becoming denser and the fire-causing factors are becoming more and more complex,in view of the poor real-time performance of the current fire monitoring and early warning system,the framework of the IoT including improved water pressure prediction model,evaluation decision model and cloud Fire monitoring and early warning system of the computing center.By consulting relevant research literature at home and abroad,the deficiencies of the fire monitoring and early warning system are analyzed,a fire monitoring and early warning system framework based on the Internet of Things is proposed,and related technologies such as the Internet of Things and RFID are studied;The accuracy of the data results in the pressure monitoring system is low,and the water pressure prediction model based on the whale optimization algorithm is studied.By comparing and analyzing with the actual measurement values,the accuracy of the water pressure prediction of the improved model is improved and is consistent with the actual measurement data.The trend is more similar;Established an evaluation decision model in the field of fire monitoring and early warning,improved the model structure and evaluation items,so that the monitoring data can play a greater role in the overall system security evaluation analysis;Researched and designed the cloud center network architecture and WorkStation-based manager Virtualized server,and designed the system database information table and data storage system based on SQL database system;In the VS software environment,the system application layer was developed,and the user terminal block was designed to realize user account management,real-time monitoring,historical query,maintenance management,data analysis,and intelligent decision-making functions.The fire monitoring and early warning system based on the IoT proposed in this paper solves the defects of the existing system well,and has the characteristics of good safety,strong expansibility and high stability.Figure38;Table21;Reference 45...