MOS Sensor Array Digital Signature Database for Rapid Olfactory Analysis
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Solution Overview
Problem
Current artificial olfactory systems are slow and inefficient in generating and organizing multi-dimensional smell data, limiting their ability to rapidly identify and monitor analytes using pattern recognition or machine learning techniques, especially in applications requiring quick analysis like grocery stores or airport baggage inspection.
Innovation Solution
A system utilizing a Metal Oxide Semiconductor (MOS) sensor array that generates multi-dimensional smell information through temperature sweeping, organizing the data into a structured database with digital signatures, smell condition data, and indices, allowing for efficient storage and processing in a computer-readable format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional artificial olfactory systems are used to detect and identify smells, then smell detection capability is achieved, but the system response time is slow and processing efficiency is low
Solution Approach 1:
The patent segments smell detection into multiple independent sensor elements (sensor pixels) arranged in arrays, where each pixel detects specific olfactory information. This segmentation enables parallel processing of multiple smell components simultaneously, dramatically reducing system response time while maintaining comprehensive detection capability
Solution Approach 2:
The patent introduces temperature as an additional dimension by implementing temperature sweeping across sensor pixels. This creates multi-dimensional smell data (combining spatial arrangement of pixels with temperature variations), enabling rapid identification of analytes through pattern recognition in the extended parameter space
2Loss of information
If traditional artificial olfactory systems collect smell data, then smell information is obtained, but the data organization and processing efficiency is insufficient for rapid analysis
Solution Approach 1:
The patent implements preliminary organization of smell data into structured formats with predefined schemas during data collection. The system pre-structures data with metadata, timestamps, and sensor identifiers, enabling immediate processing and analysis without requiring subsequent data restructuring, thus大幅提升 processing efficiency
Solution Approach 2:
The patent transforms raw smell signals into standardized parameters through temperature sweeping and signal processing. By converting complex sensory data into standardized numerical parameters with defined ranges and relationships, the system enables efficient database storage, retrieval, and comparison operations
3Measurement precision
If comprehensive multi-dimensional smell data is generated through temperature sweeping, then smell identification accuracy is improved, but data complexity and storage requirements increase
Solution Approach 1:
The patent implements a universal data structure that handles multiple types of smell data (spatial, temporal, temperature-dependent) through a single standardized format. This multi-functional structure accommodates various sensor pixel responses and experimental conditions without requiring separate processing pathways, managing complexity while preserving comprehensive information
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 rapid and accurate identification and monitoring of analytes by transforming raw smell data into organized, structured information that can be quickly processed, enhancing the speed and efficiency of smell-related applications.
Implementation Method 1
the response signal is a measurable response of the generator to the predetermined stimulus that is a function of change in electrical properties of resistance or impedance in the generator
Data Source
AI summary
A database comprising a digital signature of a smell, the digital signature comprising a smell data, the smell data comprising a response signal that is a function of a first data corresponding to a generator generating the response signal and a second data corresponding to a predetermined stimulus for generating the response signal, wherein the digital signature comprises binary data, wherein the response signal is a measurable response of the generator to the predetermined stimulus that is a function of change in electrical properties of resistance or impedance in the generator. wherein the generator generating the smell-related response signal is a Metal Oxide Semiconductor (MOS) in a sensor or a sensor pixel of a sensor array having a plurality of MOS sensor pixels having an MOS active material exposed to an analyte in the gas environment and the predetermined stimulus is a sequence of predetermined temperatures.