Traditional gas detection technology has a certain degree of defects in all aspects, and it has not been able to adapt to the rapid development trend. Tunable diode laser absorption spectroscopy (TDLAS) technology has some good performance and is gradually being used in various industries.
First, a gas detection instrument is designed. Then, based on subsequent data processing techniques, a wavelet transform algorithm is proposed, and the noise removal and baseline correction functions of the detection system are implemented. The results show that the proposed method has good
removal effect on the inherent noise of the system and high efficiency. During the selection of the absorption line, the selected line of some gases cannot avoid the interference of adjacent peaks. Therefore, a mathematical analysis method of differential fold back algorithm is proposed. The
absorption peak shape is squeezed by the method of adjacent phase subtraction and displacement superposition. The problem is solved well, and the accuracy of concentration measurement of some gases is effectively improved.
Development of gas fire detection system using tunable diode laser absorption spectroscopy
