Electronic Nose Odor Visualization Using Knowledge Graphs
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Solution Overview
Problem
Existing odor recognition technologies primarily rely on professional knowledge and experience, making it difficult for ordinary people to understand odor information intuitively and comprehensively, and lack comprehensive visualization of odor characteristics and applications.
Innovation Solution
A method and system utilizing electronic nose technology to acquire category information, determine demand information, construct a database, and convert it into a visual node-link graph, incorporating computer and natural language processing to facilitate intuitive odor understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional odor recognition methods are used, then professional accuracy is maintained, but accessibility and ease of understanding deteriorate
Solution Approach 1:
The patent introduces visual metaphors as an intermediary between the electronic nose detection data and human understanding. The system translates complex odor data into visual representations (images, graphs, diagrams) that serve as a mediator, allowing ordinary users to comprehend odor information without requiring professional knowledge while maintaining comprehensive information through structured visual presentations.
Solution Approach 2:
The patent utilizes visual perception and color coding to represent different odor characteristics and categories. By assigning specific colors, shapes, or visual patterns to different odor types and properties, the system enables intuitive understanding through visual differentiation, making complex odor data accessible to non-professionals while preserving complete information through systematic visual encoding.
2Loss of information
If comprehensive odor information is collected, then information completeness is improved, but system complexity and processing burden increase
Solution Approach 1:
The patent segments the comprehensive odor information into distinct visual components and categories. By dividing the complex odor data into separate visual elements (such as category labels, characteristic attributes, application scenarios, and visual metaphors), the system manages information completeness while reducing processing complexity through structured organization and modular presentation.
Solution Approach 2:
The patent transforms multi-dimensional odor data into visual representations that leverage spatial and graphical dimensions for information presentation. By converting complex datasets into visual formats with spatial relationships, the system achieves comprehensive information display while simplifying processing through established visual processing techniques rather than complex data manipulation.
3Ease of operation
If visual visualization is implemented, then ease of understanding is improved, but information processing time increases
Solution Approach 1:
The patent implements preliminary processing of odor data into structured formats and visual templates before final presentation. By pre-processing and organizing the data structure, creating visual templates, and preparing categorization frameworks in advance, the system reduces real-time processing time while maintaining high intuitiveness through pre-optimized visual representations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to grasp odor information intuitively through visual content, including category, demand, and related characteristics, overcoming the limitations of traditional odor recognition systems.
Implementation Method 1
complex gases can be detected and identified, and basic information on gas categories and components is more scientific and accurate
Implementation Method 2
converting the structured knowledge map into a visual node-link graph
Data Source
AI summary
A method and system for odor visual expression based on electronic nose technology, and a storage medium are disclosed. The method includes: acquiring category information of an odor to be identified based on the electronic nose technology; determining demand information of the odor to be identified according to the category information; collecting corresponding relevant data according to the demand information so as to construct a database; constructing a knowledge map centered on odor identification according to the database; and converting the structured knowledge map into a visual node-link graph. The method and system for odor visual expression based on electronic nose technology and the storage medium according to this disclosure present related information of the identified odor to users in a form of visual content, and the visual content can facilitate the users to have more intuitive understanding of odors.