FIELD: fire-fighting equipment.
SUBSTANCE: present invention relates to methods of ensuring fire safety in premises of fire hazardous facilities. Technical result is achieved by determining the location of the fire source using a multilayer recurrent perceptron, at that, to measure fire factors, multi-parameter fire sensors of a fire alarm system are used, which are placed in a room using a genetic algorithm, all measurements of temperature, optical density, concentration of carbon monoxide of air and coordinates of location of multiparameter fire sensors are entered into multilayer recurrent perceptron, wherein the multilayer recurrent perceptron is trained by the Levenberg–Marquardt method and the multilayer recurrent perceptron is validated using fire simulation, and then using the trained neural network, the location of the fire source is determined.
EFFECT: reducing the error of determining the location of the fire source with reliability to the zone of the fire source and reducing the time spent by the equipment on detecting the fire source.
1 cl, 5 dwg
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Authors
Dates
2024-03-13—Published
2021-06-11—Filed