Abstract
A general analysis of self-adjustment algorithm of fire detectors for early guaranteed ignition detection was carried out. It was shown that step magnitude in the algorithm of self-adjustment of fire detectors can be a fixed or a selected variable, depending on the level of registered actual data about the factor of ignition of combustible material. Specific features of fire detectors, self-adjusting by ignition, relate to a non-linear nature of the algorithm and conditions for providing guaranteed ignition detection. In this case, for effective self-adjustment of fire detectors, it is expedient to set the initial threshold value by registered actual data in the absence of ignition and to regulate the adaptation step size in a special way. It was shown that the fact of an increase in self-adjusted threshold relative to its original value can be a sign of ignition detection. For probabilistic assessment of the fact of ignition detection, it was proposed to use exponential smoothing of characteristic function, which allows generation of dynamic assessment of probability of ignition detection. A study of dynamics of self-adjusting threshold and probability of ignition detection indicate capability of self-adjusting fire detectors to provide early guaranteed detection of different sources of ignition of flammable materials under conditions unknown in advance
Highlights
Literature review and problem statementModern technical solutions, related to the widespread introduction of microprocessor technology, are actively implemented in the sphere of construction of plants and systems of fire alarm
Research in quantitative characteristics of adaptive algorithms of self-adjusting by ignition (SFD) for the conditions unknown in advance is not addressed in the scientific literature
Lack of data on quantitative characteristics of adaptation procedure remains the unresolved part of SFD creation
Summary
Modern technical solutions, related to the widespread introduction of microprocessor technology, are actively implemented in the sphere of construction of plants and systems of fire alarm. The known research in characteristics of adaptation algorithms for other applications is limited mostly to problems of assessment of instantaneous frequency, spectral analysis and amplification of speech signals [13] In this case, research in quantitative characteristics of adaptive algorithms of SFD for the conditions unknown in advance is not addressed in the scientific literature. It was noted that different methods of dynamic step size regulation are required for effective adaptation This is noticeable at registration of stationary input data, unlike non-stationary. Normalization of step size in accordance with assessment of power of input data makes this algorithm invulnerable when the level of input data changes In this regard, the algorithm does not require additional step size adjustment in non-stationary applications. Lack of data on quantitative characteristics of adaptation procedure remains the unresolved part of SFD creation
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