Abstract
The concept of guaranteed ignition detection at a site was introduced. A criterion of optimization of guaranteed detection was formulated, which comes down to the equality of probabilities of false detection and missing of ignition source. Algorithms and structure of fire detectors, capable of self-adjusting by ignition of materials, were developed. Their distinctive feature is the possibility of being applied under uncertain conditions for arbitrary and combustible materials that are unknown in advance. To enhance effectiveness of fire detectors capable of self-adjusting by combustion of materials, we proposed adaptation of original threshold value to current observations of ignition components. For this purpose, it was proposed to use the procedure of median filtration of recorded data. As a parameter of convergence of the procedure of threshold self-adjustment, we consider a fixed and dynamic way of its determining. This makes it possible to provide adjustment of original convergence of procedures toward observed components of combustion of various materials. Verification of the proposed self-adjusting fire detectors indicates their capability to provide guaranteed detection of sources of ignition for various materials at the early stages under conditions unknown in advance
Highlights
More and more attention is paid today to creating self-learning fire detectors (FD) for the systems of automated fire-prevention equipment (SAFE), capable of adjusting to fuzzy and changing operating conditions
The criterion of optimization of FD capable of self-adjusting by ignition was formulated in the form of equality of probabilities of erroneous solutions, related to false ignition detection and a failure to register it
A distinguishing feature of the proposed structural circuit of FD capable of self-learning by ignition for guaranteed detection of an ignition source at sites is the presence in its structure of the units for determining the original value for guaranteed threshold and the current value of convergence parameter for a nonlinear dynamic procedure according to data of observations over the appropriate physical component of ignition of combustible material
Summary
More and more attention is paid today to creating self-learning fire detectors (FD) for the systems of automated fire-prevention equipment (SAFE), capable of adjusting to fuzzy and changing operating conditions. For such conditions, it is impossible to design in advance the optimal SAFE with predetermined parameters [1, 2]. Actual statistics of loss-causing fires testify to the fact that operating conditions of SAFE on modern sites are varied and unpredictable In this regard, designing the SAFE with predetermined parameters, which would provide their guaranteed fire protection, is not feasible. Relevance of the present work implies the design of thermal FD capable of self-adjusting by ignition of materials, with guaranteed detection of an ignition source under conditions of application that are unknown in advance
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