Research on Analysis System for Trace hydrogen sulfide content Based on threshold method of Heursure De-noising and TDLAS

摘要

In this paper, an analysis system for trace hydrogen sulfide is given in this paper since traditional hydrogen sulfide pollution monitoring technique has such defects as high costs, cumbersome process and bad real time performance. Samples of natural gas can be taken for analysis by using a TDLAS zero-contact technique. H_2S components can be separated by Mallat wavelet algorithm. It reduces signal noise effectively by applying the Heursure threshold method, so that the pollutants will not affect the accuracy of the system measurement. Experimental results show that detection of the maximum error of this analysis system is only 5%. Compared with other methods, experimental results show that this system has a higher response speed. Its high response speed which reflects in time the change of concentration of hydrogen sulfide helps people to control the production status.