Applying Neural Network Technology To The Next Generation Flame Detector

Accurate and reliable industrial flame monitoring has always represented a technical challenge. The main flame monitoring concern lies in the requirement to differentiate spectral radiation emitted by flames from that of background radiation, which is always present in the industrial environment. Insufficient differentiation of flames from background sources typically causes the highly undesirable condition of false alarm. When a false alarm condition occurs, it activates automated fire suppression equipment, causes operational interrupts, consumes extinguishing materials, and requires resolution of the alarm condition, which can include a complete system shutdown and restart.