Signal Feature Extraction Method of Three-Band Infrared Flame Sensor

Abstract

A three-band infrared flame sensor is designed and experimentally investigated for the analysis of infrared signals from three radiation sources (Flame, man and ambient). The Fourier transform and empirical mode decomposition (EMD) is applied to the analysis of the spectral characteristics, intrinsic modes and energy spectra. The results show that the received flame infrared signal exhibits significant low-frequency and energy characteristics. Near the zero frequency, the received infrared signal energy of the flame, man and ambient is 3.4 × 104 J, 2.8 × 104 J and 2.1 × 104 J, respectively. In this way the flame signal features can be accurately identified from different radiation sources. It can be believed that the results of the three-band infrared sensor presented here are useful guiding significance and practical application value for fire detection.