{"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}
引用次数: 9
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.
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