Concentration detection precision correction method based on projection onto convex set in electron nose system

Abstract

The invention discloses a concentration detection precision correction method based on projection onto a convex set in an electron nose system. The method comprises the following steps: arranging a high precision standard gas sensor in an electron nose end sensor array, transmitting a sensor array detection signal to a server, carrying out class judgment and concentration calculation to obtain a concentration detection result, adjusting the response signals of all gas sensors to be corrected by using a method of projection onto a convex set with the concentration detection result, the temperature and the humidity of the standard gas by the high precision standard gas as references, and correcting the input value of a gas concentration calculation network to make the standard gas concentration value detected by the gas sensors to be corrected is close to the standard gas concentration value detected by the high precision standard gas sensor in order to determine the sensor correction coefficient and correct the concentration detection results of other gases to be detected. The method improves the concentration detection precision of an electron nose to a gas to be detected, and effectively solves the problems of difference and long-term drift of electron nose sensors.

Description

technical field [0001] The invention relates to the technical field of electronic nose gas detection, in particular to a concentration detection accuracy correction method based on convex set projection in an electronic nose system. Background technique [0002] Among the common types of gas sensors in electronic nose systems, metal oxide semiconductor sensors are widely used due to their advantages of high sensitivity, fast response, low cost and simple circuit. However, the drift problem is a non-negligible and unavoidable problem in the use of metal oxide semiconductor sensors. According to the characteristics of sensor drift, drift can be divided into two categories, namely short-term drift and long-term drift. Among them, the short-term drift refers to the fluctuation of the sensor response signal with the change of environmental factors such as temperature, humidity and air pressure. The change period of this kind of fluctuation is relatively short, generally manifes...

AI Technical Summary

Problems solved by technology

The detection accuracy of the electronic nose for the measured gas concentration is mainly improved by solving the sensor drift problem and the difference between the individual sensor arrays in the practical application of the electronic nose based on the metal oxide semiconductor sensor array.

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