{"title":"基于烟雾粒子光谱分析的火灾探测技术研究","authors":"Soyoung Park, K. Han, Kangbok Lee","doi":"10.1109/ICTC49870.2020.9289272","DOIUrl":null,"url":null,"abstract":"This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.","PeriodicalId":282243,"journal":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A study on fire detection technology through spectrum analysis of smoke particles\",\"authors\":\"Soyoung Park, K. Han, Kangbok Lee\",\"doi\":\"10.1109/ICTC49870.2020.9289272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.\",\"PeriodicalId\":282243,\"journal\":{\"name\":\"2020 International Conference on Information and Communication Technology Convergence (ICTC)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Information and Communication Technology Convergence (ICTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTC49870.2020.9289272\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC49870.2020.9289272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on fire detection technology through spectrum analysis of smoke particles
This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.