Multi-Poisonous Gases Detection System Based on Combination of Sensor Array and Integrated Neural Network

摘要

Due to increased amount of poisonous gases in the environment, this study is mainly focusing to design a multi-poisonous gases detection system based on the combination of sensor array and integrated neural network. Initially, cross-sensitive multi-response signals were acquired through the sensor array technique and signals were normalized. Consequently, the multi-poisonous gas signals were recognized and quantitatively analyzed using the recognition algorithms of integrated neural network. The detailed analysis of the detecting system confirmed that the presented method could accurately recognize multi-poisonous gases qualitatively and quantitatively. In addition, relative errors in signal recognition and analysis were small, thus the presented system can efficiently be used to monitor the environmental poisonous gases.