Intelligent sniffing identification method and system

Abstract

The invention relates to an intelligent sniffing method and system, and the method comprises the steps: collecting and analyzing a to-be-detected gas, and obtaining the sample information of the to-be-detected gas; inputting the sample information into a trained smell detection model to obtain a smell objectification grade and a traceability result; the smell detection model is constructed in the following mode that sample data are obtained, each sample data at least comprises K smell substances, and each smell substance comprises a CAS number and a quantized value; constructing a deep learning model by taking the odor objective grade as a dependent variable and K odor substances as independent variables, screening out typical odor substances from the odor according to the odor trajectory diagram, and adjusting a weight coefficient of the deep learning model according to a perception threshold and a stimulation threshold of the typical odor substances; and training the deep learning model by adopting the sample data to obtain a trained smell detection model. According to the invention, objective grade evaluation, smell traceability, traceability visualization and quantification of toxic substances can be rapidly carried out on the smell in the air.

Description

technical field [0001] The invention relates to the technical field of air quality detection, in particular to an intelligent smell identification method and system. Background technique [0002] Air quality is related to the health of personnel. Due to the impact of industrialization, there are many toxic gas components in the air, and some components have a more pungent smell. Large-scale analytical instruments are often used for the detection of toxic gases, and different equipment is used for different components, which is highly specialized. At present, the detection of peculiar smell can only be actually felt through the nose of the smell smeller. In fact, many peculiar smell substances also have high toxicity, which poses extremely high occupational hazards to practitioners. Finding the source of the odor and rectifying it after discovering the odor problem currently requires professional equipment and experienced personnel to spend a lot of time on analysis, but the...

AI Technical Summary

Problems solved by technology

Finding the source of the smell and rectifying it after discovering the smell problem currently requires professional equipment and experienced personnel to spend a lot of time on analysis, but the name and concentration of the substance reflected in the traceability results are difficult to correlate with the smell

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