Research on multiband flame detection method based on red UV photoelectric sensors
In response to the requirements of flame detection in different fire scenarios,this study establishes a fire detection model with fire characteristics and investigates the mechanisms of multi-band red and ultraviolet(UV)sensors for flame detection,multi-feature data fusion algorithms,and fire decision-making methods.Ultraviolet photodetectors in the wavelength range of 185 to 260 nanometers and infrared photodetectors in the wave-lengths of 3.6,4.4,4.8 μm are selected for flame detection,and flame characteristic signal data information is collected.By em-ploying multi-signal data fusion and feature parameter correlation algorithms,a mathematical model for fire detection based on multi-band fire characteristics is established.Fire occurrence scenarios are simulated to train the optimal configuration of relevant feature parameters.The research results demonstrate that multi-band flame detection using UV light in the range of 185 to 260 nanome-ters and infrared light at wavelengths of 3.6,4.4,4.8 μm can meet the requirements of the national standard GB 15631-2008,Special fire detectors.The recognition and decision-making capa-bilities for flames are improved,and there were no false alarms or missed detections in the experiments.
UV photoelectric sensorinfrared photoelectric sen-sormulti band flame detection
NETL
NSTL
万方数据
