Online recognition and inhibition method based on non-target interference smell in electronic nose of artificial intelligent learning machine

Abstract

The invention relates to an online recognition and inhibition method based on a non-target interference smell in an electronic nose of an artificial intelligent learning machine. The recognition method comprises the following steps of collection of target gas and typical non-target interference smell data samples, pretreatment of a sensor array signal, characteristic extraction of the target gas and the non-target interference gas sample, training learning of the artificial intelligent learning machine and real-time online recognition of the intelligent learning machine on the non-target interference smell. An inhibition method of the non-target interference smell comprises the following steps besides the steps of the recognition method of: storage and updating of array signal dynamic matrix, interference inhibition and weighted correction of dynamic storage matrix, and prediction of concentration of target gas. The invention also provides the other inhibition method of the non-target interference smell comprising the following steps besides the steps of the recognition method of prediction of the concentration of target gas, the storage and updating of target gas prediction concentration dynamic matrix and the weighted correction and interference inhibition of the dynamic storage matrix. The method has beneficial effects that the target gas and the non-target interference gas can be recognized by utilizing an artificial intelligent mode, and a type mark of the detection signal is given; and the interference caused by the non-target interference smell can be inhibited, and the content of the target gas can be accurately detected.

Description

technical field [0001] The invention relates to the field of gas detection of an electronic nose, in particular to an online identification and suppression method of non-target disturbing smells in an electronic nose based on an artificial intelligence learning machine. Background technique [0002] Since metal oxide sensors are sensitive to environmental parameters, they are easily affected by environmental factors such as temperature, humidity, and external non-target interference odors in real-time applications. A lot of research has been done on the influence of temperature and humidity. For example, some set the same temperature and humidity to avoid the impact on the sensor due to its change; some conduct experiments under different temperatures and humidity The collection of samples ignores the influence of temperature and humidity through the generalization of neural networks. In addition, sensor drift is also a factor that affects the prediction ability of the elec...

AI Technical Summary

Problems solved by technology

[0004] Therefore, the difficulty of this problem is that the non-target odor interference source is different from Gaussian white noise or the weak influence of the environment on the sensor, and the response range of the sensor caused by the non-target interference odor is much higher than the target gas formaldehyde measured by the electronic nose , benzene, toluene, carbon monoxide, nitrogen dioxide and ammonia, that is, the sensor array response caused by non-target interfering odors is very similar to the expected target signal, so through common electronic nose signal preprocessing methods, such as smoothing filtering, wavelet, Independent component analysis, principal component analysis, adaptive filtering, etc., cannot suppress this kind of non-target interfering odor at all, which will lead to a complete error in the prediction of the target gas concentration to be detected by the electronic nose

For example, in a clean environment, the concentration of formaldehyde should be very low, but under the influence of non-target odor interference, the concentration of formaldehyde will be relatively high, which will cause the electronic nose detector to generate false alarms

From the current domestic literature research, there has been no report on the research on the interference of non-target interference odors on the electronic nose based on metal oxide sensor arrays.

Images