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New methods for reducing the number of false alarms in fire detection systems

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Abstract

In this paper, we present new methods of reducing the number of false alarms in smoke detectors and apply these methods to an ionization smoke detector. The detector is able to diagnose its working condition and its environment very precisely. When the detector's environment changes, the detector can automatically determine the cause, whether the change is fire-related or not. This is done by measuring the ionization current in two sensitivity ranges of the measurement chamber and analyzing the results with new algorithms. With the help of algorithms that use fuzzy logic, we can identify basically every potential problem an ionization detector can produce.

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Authors and Affiliations

  1. Cerberus AG, Alte Landstrasse, CH-87708, Männedorf, Switzerland

    M. Thuillard

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  1. M. Thuillard
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Thuillard, M. New methods for reducing the number of false alarms in fire detection systems. Fire Technol 30, 250–268 (1994). https://doi.org/10.1007/BF01040005

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  • DOI: https://doi.org/10.1007/BF01040005

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