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Design And Implementation Of Intelligent Fire Control System Monitoring Software

Posted on:2018-11-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y LiFull Text:PDF
GTID:2322330569486225Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the city's population is more and more intensive,city area is expanding and the number of buildings is also increasing.Because building materials are easily burning,the significant fire events occur frequently.How to prevent the fire effectively,to control the spread of fire has become an important problem what people are thinking.Currently,the fire protection system has some shortcomings,difficult maintenance,inaccurate fire detection,information islands,so on,it can't effectively prevent fire automatically.Breaking out of fire will cause huge losses.In view of the above shortcomings,intelligent fire control system is the key to solve the problem.The intelligent fire control adopts techniques of networking,artificial intelligence,big data,cloud computing and so on,the effective integration of various information processing equipment,real time intelligent analysis and processing of fire hidden data achieve intelligent fire control of nation.The intelligent fire control monitoring system mainly solves three key issues,fire detection,system linkage and stable performance.This paper uses the BP neural network,genetic algorithm,fuzzy logic inference algorithm to study the function of intelligent fire detection,and take the joint detection on fire by two aspects of Multi-sensor and image,improving the timeliness and the accuracy in the system.In system linkage,this paper according to the logical relationship between alarm and linkage,establish the startup sequence of a linkage device,and take a way of one answer realizing the linkage control.In stability,combined with the practical application,it mainly analyze the method of data processing under the condition of solving network exceptions and program exception.The intelligent fire control system developed in this paper is divided into three parts,the terminal equipment,the monitor subsystem and fire management platform.The main work includes the demand analysis of the monitor extension,the overall structure design,design and implementation of software.Based on the needs and key problems,design and implement of extension monitor software,including storage function,communication function,fire detection function,alarm function,gang control function,exception handling function and interface function.In communication,using the structure of FIFO and HASH to realize the split and reform of CAN data frame,using dual queue structure to realize the priority of data processing.The alarming is divided into fire alarm and fault alarm,the fire alarm takes the mechanism of joint judgment and artificial confirmation to improve the accuracy of fire detection.Finally,the test scheme is designed to test the function and performance of the software.The test results show that the software designed in this paper meets the requirements.
Keywords/Search Tags:intelligent fire control, monitoring extension, genetic algorithm, BP neural network, joint detection
PDF Full Text Request
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