{"title":"基于温度波动火灾探测器的现代信号处理","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":"{\"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}","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}
Modern signal processing for temperature fluctuation based fire detectors
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.