{"title":"Modern signal processing for temperature fluctuation based fire detectors","authors":"T. Kaiser, B. Piller, P. Ryser","doi":"10.1109/CCST.1995.524913","DOIUrl":null,"url":null,"abstract":"We suggest use of the high frequency part of the temperature signal or the temperature fluctuations in addition to or as a replacement for the common fire detector which is based only on a lowpass filtered (smoothed) temperature signal. Furthermore, a signal processing method distinguishing fire from non-fire situations using fire detectors that measure temperature fluctuations is presented. This method is partly based on the interpretation of the sensor output signals as a linear filtered stochastic process which enabled the reconstruction of the input signals from known output signals. We show the advantage of this method through application to many fire and non-fire situations.","PeriodicalId":376576,"journal":{"name":"Proceedings The Institute of Electrical and Electronics Engineers. 29th Annual 1995 International Carnahan Conference on Security Technology","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings The Institute of Electrical and Electronics Engineers. 29th Annual 1995 International Carnahan Conference on Security Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.1995.524913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We suggest use of the high frequency part of the temperature signal or the temperature fluctuations in addition to or as a replacement for the common fire detector which is based only on a lowpass filtered (smoothed) temperature signal. Furthermore, a signal processing method distinguishing fire from non-fire situations using fire detectors that measure temperature fluctuations is presented. This method is partly based on the interpretation of the sensor output signals as a linear filtered stochastic process which enabled the reconstruction of the input signals from known output signals. We show the advantage of this method through application to many fire and non-fire situations.