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基于多传感器信息融合的电气火灾预警研究 Abstract Electricalfiresposeasignificantrisktobothhumanlifeandproperty.Currentdetectionmethodsrelyonsingle-sensortechnology,whichoftenleadstodelayedresponseandinaccurateresults.Theuseofmulti-sensordatafusiontechniquescanhelpimprovetheaccuracyandtimelinessoffiredetection.Inthispaper,wepresentacomprehensiveoverviewoftheresearchonelectricalfirewarningsystemsbasedonmulti-sensordatafusiontechnology.Wewilldiscussthedifferenttypesofsensorsusedforfiredetection,theprinciplesofdatafusion,andthechallengesfacedinintegratingdifferenttypesofsensors.Wewillalsoreviewthestate-of-the-arttechniquesusedforprocessingandanalyzingfiredata. Introduction Electricalfiresareoneofthemostcommontypesoffireaccidents.Theyposeasignificantrisktohumanlifeandproperty,andaredifficulttodetectusingconventionalfiredetectiontechnologies.Conventionalmethodsrelyontheuseofsingle-sensordevicessuchassmokedetectors,heatdetectors,andflamesensorstodetectfires.However,thesedeviceshavelimitationsindetectingelectricalfires,astheyoftenfailtodetecthiddenfiresorfirescausedbyelectricalfaults.Inaddition,thesedevicescanalsogeneratefalsealarms,leadingtounnecessaryevacuations,whichcanbecostlyanddisruptive. Multi-sensordatafusiontechniqueshaveemergedasapromisingsolutiontothesechallenges.Byintegratingdatafrommultiplesensors,theaccuracyandtimelinessoffiredetectioncanbesignificantlyimproved.Multi-sensordatafusiontechniquescandetecthiddenfiresandelectricalfaults,andcanalsoreducefalsealarmsbycross-validatingdatafromdifferentsensors. TypesofSensorsUsedforFireDetection Firedetectionsensorscanbebroadlyclassifiedintothreetypes:flamesensors,smokedetectors,andheatdetectors.Flamesensorsaredesignedtodetectthepresenceofaflamebydetectingultravioletorinfraredradiationemittedbytheflame.Smokedetectorsaredesignedtodetectsmokeparticlesbymeasuringtheconcentrationofsmokeparticlesintheair.Heatdetectorsaredesignedtodetectachangeintemperaturecausedbyafire. Inrecentyears,newtypesofsensorshavebeendevelopedforfiredetection,includingg