Online detection device based on remote anticontrol of environment stench monitoring electronic nose

Abstract

The invention relates to an online detection device based on remote anticontrol of an environment stench monitoring electronic nose. The device comprises a cloud platform, an online monitor platform and an anticontrol device, wherein the cloud platform is a virtual industrial personal computer, the online detection platform and the anticontrol device show detection data and a working state of an online electronic nose detector in real time and send an instruction to the cloud platform, a structure of the online monitor platform and the anticontrol device comprises a shell and a fan, a sensor air chamber, and a heating board; and an air cleaner, a filter, an air pump, an embedded controller, a data collector, a power supply, an air protection switch and the like. The device can check the working state of the stench electronic nose in real time in a long distance, early warn drifting of the sensor, test and calibrate the sensor remotely, the invention is convenient and fast, reduces manpower and material resources, is simple to operate, high in automation degree, and improves the test accuracy of the electronic nose.

Description

technical field [0001] The invention relates to an online detection device based on the remote counter-control of an electronic nose for odor monitoring in the environment, which can remotely repair the electronic nose, realize the automatic calibration function, and improve the testing accuracy of the electronic nose. Background technique [0002] Any gas that can damage the living environment of human beings, produce unbearable odors or make people feel unpleasant is commonly called stench, and it is one of the seven major hazards recognized in the world. The malodorous substances are widely distributed and have a wide range of influence, and have become a threat to everyone's health. Most of the odorous substances come from chemical, pharmaceutical, paper, leather, fertilizer, food, foundry and other industries. [0003] Electronic nose is a method of odor fingerprint detection. The spectrum displayed by the detection result is also called odor fingerprint. It is a new t...

AI Technical Summary

Problems solved by technology

(2) The pattern recognition method needs to be improved. Traditional pattern recognition methods such as principal component analysis, least square method, and discriminant analysis use linear processing, and the response mechanism of the sensor is relatively complicated, so it is difficult to obtain an accurate model.

As a method to realize complex nonlinear mapping, artificial neural network has a better recognition effect than traditional recognition methods, but it requires a relatively large amount of training samples, which brings inconvenience to sampling

(3) Long-term contact between the sensor and the polluted gas will cause the sensor signal to drift and the accuracy will decrease, requiring frequent testing and calibration

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