Gas Detection Software Based on Sensors

Abstract

Subject to serious gas pollution in the environment, this paper developed a gas detection system based on porphyrin chemical sensor. The reaction between porphyrin and organic gas will cause color change, so the images of the porphyrin chemical sensor array before and after the chemical reaction with the target gas were collected automatically by CCD. The feature information of the target gas was obtained using the image processing technology. The target gas was detected using the proper pattern recognition algorithm. The system was used to detect nine kinds of common VOCs and ammonia, and the experiment showed its effectiveness in qualitative identification of VOCs and quantitative identification of ammonia. It is concluded that the detection and control of VOCs is vital on indoor air quality evaluation and control and can detect harmful gases to prevent infection and gene mutation.