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Research On Disposal Decision System Of Fire Scene Based On Multi-Data Fusion

Posted on:2019-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:X K YanFull Text:PDF
GTID:2382330572960336Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the development of society,the density of buildings is increasingly growing,the structure of buildings is increasingly complex,and the scale of fire disaster is increasingly expanding,which brings huge losses to the society.We cannot obtain the information on the environmental conditions of fire rescue scene,the physical status of firefighters and additionally,the firefighters' experiences are insufficient,so it is difficult to make an accurate judgment on their physical status,which often causes accidents,low efficiency and heavy cost of the fire rescue.Therefore,it is particularly important to develop an efficient and reliable fire rescue scene's detection system for the special condition of the fire rescue scene.This topic is derived from the Project Science and Technology to Strengthen the Police of Anhui Province in 2016“Researches on Key Technologies in Internal Environmental Monitoring and Early Warning based on the Internet of Things for Disaster Disposal Scene”,which is mainly responsible for designing the internal environment of fire rescue scene and the vital signs detection system of firefighters.The ultimate goal of this subject based on the tested data to estimate whether the firefighter's current status is capable of sequentially conducting firefighting tasks,which is of great significance to the safety of firefighters.In order to obtain the real-time information on fire rescue scene‘s environment and firefighters' vital signs,and reduce the risk of fighting fires,this paper designs a set of“multi-data fusion's detection system on fire scene disposal decision-making system.”The whole system consists of three modules: data acquisition by the lower computer,data analysis received by the upper computer,and data analysis received by the mobile client.And the whole system runs as follows:Firstly,the firefighters carry the lower computer to enter the fire rescue scene and the relevant sensors are used to detect the environmental information of the fire rescue scene and the vital signs of the firefighters,the collected environmental information which includes carbon monoxide concentration,oxygen concentration and smoke concentration.And firefighters' vital signs' information collection includes blood oxygen concentration,pulse and body temperature.The collected data are processed in two aspects:(1)the collected data are displayed on the LCD screen carried by the firefighters,which can touch the screen bottom to broadcast the current informationby the voice and provides convenience for the firefighters to master the disaster from the rescue scene.(2)The collected data are sent to the designated network server through the single chip K60's serial port to WIFI module.And the data can be read through the PC client side upper computer and the mobile client to realize the relevant functions of upper computer.The research contents of this paper are as follows:(1)Design an underlying hard circuit of the lower computer.We can collect the information on fire scene's environment and firefighters' vital signs.The design of hardware circuit mainly includes the microprocessor minimum system module,data acquisition module,network communication module,voice broadcast module,and LCD module and etc.Each set of data are designed different flag bit,setting timing interrupt to send the collected data to various serial port,such as through the serial port 0 to make the data displayed on the serial port LCD screen,and provides voice broadcasted,through serial port 1 to WIFI module and send the data to internet server,waiting the upper computer to read the data.(2)Use the WIFI network communication technology to realize the data transmission to control center.The WIFI module adopts an AP type,through the mobile phone and computer without any configurations,quickly intervening module to conduct data transmission.The work style of the designated module is a kind of transparent transmission,and under this mode,it can achieve the transparent transmission between the serial port and internet.So the serial port can automatically send the collected data to the designated internet server.(3)Design PC client side upper computer software,which can accomplish the internet communication between the lower computer and upper computer.To analyze and display the received data from pulse,body temperature,blood oxygen concentration,carbon monoxide concentration,smoke concentration and oxygen concentration and save them to specific documentation.The functions completed by the PC host computer mainly include data display,dynamic image rendering,hazard level determination,firemen selection and historical data query.(4)Design the mobile client software based on the Android platform,display the environmental information transmitted by the lower computer to the server and the vital signs information of the firefighters,so that the commander can query the fire scene information at any time and places.The functions completed by the mobileclient mainly include six types of data display,voice broadcast,etc.(5)Design strategy model design,and use neural data fusion algorithm to fuse the collected data,the current firefighter's safety status is evaluated according to the fusion result,and the firefighters is judged in “Safe State,'' “Hazard I” “ Hazard II ''or "Hazard III" status,and give relevant decision recommendations for the commander to reference.(6)Finally,each module of the system is tested and verified stably and the data transmission channel runs normally.The actual test shows the fire site disposal decision system based on multi-data fusion designed in this paper can operate effectively.The system effectively combines computer hardware technology,software programming,network communication and other technologies to provide effective technical means for ensuring firefighters' life safety,and of positive significance for improving firefighters' fire rescue efficiency.
Keywords/Search Tags:environmental detection, vital signs' detection, fire, decision making, data fusion
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