Electronic nose learning and domesticating method and equipment

Abstract

The invention provides an electronic nose learning and domesticating method. The method comprises the following steps of acquiring olfactory smell data and electronic nose test data sent by electronicterminal equipment, searching olfactory smell data corresponding to the geographical position of the electronic nose from the olfactory smell data according to a set position range based on the geographic position information of the electronic nose, fusing the olfactory smell data with the electronic nose test data according to time information to generate sample data for learning and domesticating of the electronic nose, and performing relationship model parameter fitting on the electronic nose by using the sample data. The invention provides olfactory smell data electronic terminal equipment. The equipment comprises a geographic position information module, a clock module, an olfactory smell data input module and an information transmission communication module. The olfactory discrimination time of an olfactory discriminator is saved, the olfactory discrimination efficiency is improved, the limitation of space and place is overcome, the data given by the electronic nose is closer tothe olfactory feeling of people, and the smell data of the electronic nose and the smell data of the human nose are intuitive and visual.

Description

technical field [0001] The invention relates to ambient air quality monitoring technology, in particular to a method and equipment for learning and domesticating an electronic nose by using olfactory smell data. Background technique [0002] Ambient air pollution seriously affects people's health. In smart environmental information engineering, the monitoring of air quality is an important technical means. Among them, the monitoring of odors that directly affect people's sense of smell [0003] In the prior art, the measurement of air quality stench is particularly important by sniffers in accordance with national standards. (GBT14675-1993) "Determination of Air Quality Odor by Three-Point Comparative Smelly Bag Method". This method goes through the processes of sampling, storage, and olfactory identification. In order for the olfactory investigators to draw correct olfactory identification conclusions, there are relatively strict requirements on the olfactory identificat...

AI Technical Summary

Problems solved by technology

However, the existing electronic nose working method deviates greatly from the olfactory perception of ordinary people in areas with a large geographical range and large odor changes.

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