{"title":"基于多传感器信息融合的火灾监控系统","authors":"Yaochuan Yao, Jing Yang, Changquan Huang, Wenyu Zhu","doi":"10.1109/IEEC.2010.5533209","DOIUrl":null,"url":null,"abstract":"The reliability and versatility of the traditional fire monitoring system based on single-sensor information is relatively poor. In this paper, a fire monitoring system based on multi-sensor information fusion is discussed, and which adopts the ART2 (adaptive resonance theory model) and the three-layer BP neural network for two-layer fusion processing for temperature, smoke and CO sensors information, and it comprehensively uses a variety of fire parameters, and the real-time monitoring of fire conditions of the measured environment is realized, and its reliability and versatility are higher.","PeriodicalId":307678,"journal":{"name":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Fire Monitoring System Based on Multi-Sensor Information Fusion\",\"authors\":\"Yaochuan Yao, Jing Yang, Changquan Huang, Wenyu Zhu\",\"doi\":\"10.1109/IEEC.2010.5533209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reliability and versatility of the traditional fire monitoring system based on single-sensor information is relatively poor. In this paper, a fire monitoring system based on multi-sensor information fusion is discussed, and which adopts the ART2 (adaptive resonance theory model) and the three-layer BP neural network for two-layer fusion processing for temperature, smoke and CO sensors information, and it comprehensively uses a variety of fire parameters, and the real-time monitoring of fire conditions of the measured environment is realized, and its reliability and versatility are higher.\",\"PeriodicalId\":307678,\"journal\":{\"name\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEC.2010.5533209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEC.2010.5533209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fire Monitoring System Based on Multi-Sensor Information Fusion
The reliability and versatility of the traditional fire monitoring system based on single-sensor information is relatively poor. In this paper, a fire monitoring system based on multi-sensor information fusion is discussed, and which adopts the ART2 (adaptive resonance theory model) and the three-layer BP neural network for two-layer fusion processing for temperature, smoke and CO sensors information, and it comprehensively uses a variety of fire parameters, and the real-time monitoring of fire conditions of the measured environment is realized, and its reliability and versatility are higher.
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