Design And Implementation Of Intelligent Fire Monitoring Platform

With the rapid development of society,urban buildings become more and more complex,showing more and more floors,more and more diverse internal structures,indoor flammable and explosive items increase and more and more indoor electrification products,and the probability of fire is increasing.Once the fire occurs,it will cause serious damage to the residents ' personal and property safety,which is increasingly becoming one of the key issues concerned by the State and society.Fire network alarm system is the main early fire monitoring way at present.The system will monitor the fire information of the object real-time collection,in the discovery of fire information,timely notification to the supervision personnel,control fire fighting linkage equipment,through the staff's rescue and organization evacuation and other work,eliminate,control the fire,maintain the monitoring area of fire safety.Most of the existing fire network alarm systems are based on C/S structure,which have information silos.Related information is difficult to communicate and lack of overall fire situation analysis.A single detector information is limited and monitoring work is vulnerable to environmental,human activities and other factors,which often appear a large number of false fire information.The problem of false alarm consumes human resources,which makes the supervisor pay more and more attention to the fire signal.In view of the above problems,this article has done the following several points of work:(1)This paper presents the structure of intelligent fire alarm monitoring platform based on B/S architecture and applies the hierarchical model of "sense-pass-know-should" of Internet of Things.This structure realizes the cluster monitoring of fire safety of dispersed buildings in multi-monitoring area,eliminates the problem of information silos,and increases the scalability of monitoring system.(2)The bottom monitoring structure and monitoring data characteristics of fire alarm are analyzed,and the related characteristics of monitoring data acquisition are discussed.Aiming at the characteristics of high dispersion of monitoring data and reasonable organization,a reasonable coding format and transmission format are designed,and the remote transmission of monitoring data and data reception are designed in detail,and the scheme of remote collection of monitoring data is obtained.(3)This paper analyzes the composition of fire alarm monitoring data,and according to the characteristics of real-time monitoring data,historical anomaly data and monitoring system parameter information,puts forward the data storage scheme of memory database,relational database and local file combination.Each kind of data storage mode is designed in detail.(4)Aiming at the problem that there are more false alarm signals in the fire alarm system at present,an intelligent analysis algorithm is designed to judge the false alarm signal.The algorithm takes the finite monitoring space as the constraint,according to the related characteristics of the fire occurrence process,selects three kinds of fire evidence parameters,and carries on the data fusion with D-S evidence theory.The algorithm carries on the discrimination to the fire signal and the false alarm signal.(5)This paper analyzes the logic-business and functions of the intelligent monitoring platform,realizes the intelligent fire network alarm monitoring cloud platform.Applies the above intelligent analysis algorithm to the platform,which achieves good results.At the end of the paper,the research content of the subject is summarized,and the direction of further research is given in view of the shortcomings of the work.