Odor Identification and Data Transmission Method of Harmful Gas in Chemical Environment

Abstract

In the petrochemical and coal chemical industries, in order to avoid production accidents caused by harmful gas leakage, this paper uses a kind of AlN-based semiconductor MEMS four-array sensor to identify the four kinds of harmful gases of Cl2, CO, NO2 and SO2. Through wireless sensor network, it uses the iterative smoothing l0 norm minimization algorithm to compress and reconstruct the odor identification data, and finally realizes the odor identification and data transmission in the chemical environment. The experimental results show that the method used in this paper reconstructs the odor identification data with less observations. While reducing the data collection cost of the wireless sensor network, it can effectively identify and detect harmful gases to achieve the purpose of risk warning.