Material smell olfactory frequency extraction method

Abstract

The invention discloses a material smell olfactory frequency extraction method, and provides the definition of material smell olfactory frequency. An SMA (Superposition Mapping Analysis) algorithm is provided for distinguishing training samples for material smell, a chemical matching table of the material smell is combined, a balanced binary tree of the afterward traversal rule is taken as a storage structure, an attribute library for the samples of the material smell is established, and the smell of an unknown material is identified; a material smell composition proportion and concentration model is established for realizing concentration real-time extraction of the material smell. The invention provides the material smell olfactory frequency extraction method by using a bionic olfactory system, the material smell olfactory frequency extraction method has the advantages of fast detection, high accuracy, stable performance and the like, and a premise foundation is provided for realizing remote network transmission of the material smell.

Description

technical field [0001] The invention relates to the field of Internet of Things information, in particular to a method for extracting smell frequency of substances. technical background [0002] With the rapid development of computer technology and communication and information technology, virtual reality technology has emerged as the times require, and human auditory and visual functions have been greatly expanded in time and space, making it possible for people to obtain a large amount of information through the Internet. There are applications that satisfy vision and hearing, such as network interactive TV and network video conferencing, but there are very few network-based olfactory-related applications, mainly due to the lack of effective methods for extracting olfactory feature information. [0003] The olfactory sensor array is a device for collecting and identifying odor substances that emerged in the 1990s. At present, it is mainly used to judge and identify odors. ...

AI Technical Summary

Problems solved by technology

[0003] The olfactory sensor array is a device for collecting and identifying odor substances that emerged in the 1990s. It is currently mainly used to judge and identify odors. However, due to limitations in materials and technologies, its application range is greatly limited.

[0004] For the discrimination and identification of odor-related attributes, there are mainly Chinese patent application number: 201310315482.5, application publication date: December 15, 2013, invention name: an on-site analysis method for smell (smell) and taste grades of specific substances together with olfactory simulation, the invention Simulated an olfactory instrument for on-site detection and classification of odors; Chinese patent application number: 201310323187.4, application publication date: January 08, 2014, invention name: A characterization honey based on nuclear principal component analysis Differential intelligent olfactory map feature extraction method, the invention introduces a kernel function to reduce the dimensionality of high-dimensional data and is used to identify honey type information; Chinese patent application number: 201310323359, application publication date: January 08, 2013, invention name: 一 An intelligent map feature extraction method based on independent analysis to characterize honey differences. This invention introduces maximum variance to reduce the dimensionality of high-dimensional data and is used to identify honey type information; there are also invention patent numbers: 201310323188.9, 201310323171.3, 201310323251.9, 201310323337.1, etc. It is all about the introduction of relevant algorithms to judge and classify the smell of substances, but no research on the identification of odor substances such as type attributes, components and proportion information

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