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Research And Design Of Fire Alarm System With Locating Function Of Trapped People

Posted on:2022-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:X H ChenFull Text:PDF
GTID:2491306575975579Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Fire is one of the most common disasters with great threat.With the continuous development of the city,more and more people,the role of fire alarm control system in the building is particularly important.At present,most of the fire alarm systems use wired communication,which is easy to cause problems such as line aging and maintenance difficulties.And now the vast majority of detectors use a single fire signal for detection,such as smoke,temperature and so on,which is easy to cause false alarm and missing alarm of fire.Generally speaking,there are still many problems in the fire alarm system.For example,the detection accuracy is not enough,and it is easy to miss and misreport;the network level is low,and the wired mode is not conducive to expansion,and the reliability is low.The evacuation and rescue system is not perfect,and the location of the trapped people can not be accurately located after the fire,so the efficiency of fire rescue is low.This paper designs a fire alarm system with the function of positioning trapped people,which is based on the key scientific and technological project of Jilin Provincial Science and Technology Department-"intelligent fire control system based on Internet of things technology" and Changchun Science and technology plan project "key technology research of smart campus management platform based on big data".CC2530 chip is used in all hardware chips of the system.CC2530 has powerful self-organizing network function,which can easily build a huge fire alarm network in the building,and it is very easy to expand.The system uses convolution neural network algorithm to comprehensively analyze a variety of fire parameter information.Through the algorithm,it can accurately and intelligently make accurate and reasonable judgment on the fire occurrence in buildings.After the fire is confirmed,multiple detectors in the building can receive the data packets transmitted by the personnel’s chest cards.The personnel positioning algorithm of trilateral positioning is used to fuse the position information of the chest cards received by multiple detectors to accurately locate the personnel in the building.The host computer uses access database to store the fire data and personnel location information,and uses Visual Studio 2015 to design the display interface of the fire alarm system,so that users can understand the fire situation and personnel location information more intuitively and concisely.The fire alarm system designed in this paper has the function of locating the trapped people,which solves the problems of aging and difficult maintenance of the fire alarm system in the traditional wired transmission mode.It improves the detection sensitivity and accuracy of the fire detector,and effectively improves the speed of evacuation and the efficiency of rescue work after the fire.The fire alarm system designed in this paper can be applied to most buildings,and has the advantages of high precision,good network expansion and personnel positioning function.
Keywords/Search Tags:Fire alarm, ZigBee network, Convolutional neural network, Personnel location
PDF Full Text Request
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