Particle Detection Using 2D Light Intensity Tables
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Solution Overview
Problem
Existing particle detecting systems face challenges in accurately discriminating between biologic and non-biologic particles with high accuracy while minimizing the computational burden on computer systems, leading to increased memory requirements and reduced processing speed.
Innovation Solution
A particle detecting device and method that utilizes a three-dimensional coordinate system to define a discriminating boundary between biologic and non-biologic particles by measuring light intensities at multiple wavelengths, using a support vector machine or other non-linear identifiers to maximize distance between data points, and storing this information in two-dimensional tables to reduce data volume and processing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-accuracy discrimination standards are used to identify biologic and non-biologic particles, then identification accuracy is improved, but memory capacity requirements increase and processing speed decreases
Solution Approach 1:
The patent transforms the particle identification problem from a high-dimensional space (multiple light intensity parameters) to a two-dimensional coordinate system defined by scattered light intensity and fluorescent light intensity. This parameter transformation maintains discrimination accuracy while reducing computational complexity and memory requirements, directly resolving the contradiction between identification accuracy and processing speed.
Solution Approach 2:
The patent extracts the essential discrimination features from complex multi-parameter light intensity data by identifying that scattered light intensity and fluorescent light intensity are the two most critical parameters for distinguishing biologic from non-biologic particles. By focusing only on these two extracted features, the system achieves high accuracy identification with reduced computational burden.
2Measurement precision
If high-accuracy discrimination standards are used to identify biologic and non-biologic particles, then identification accuracy is improved, but memory capacity requirements increase
Solution Approach 1:
The patent changes the parameter representation from high-dimensional light intensity vectors to a two-dimensional coordinate system (scattered light intensity vs. fluorescent light intensity). This parameter transformation dramatically reduces the memory capacity required to store discrimination data while maintaining high identification accuracy, directly addressing the contradiction between accuracy and memory requirements.
Solution Approach 2:
The patent extracts only the two most essential parameters (scattered light intensity and fluorescent light intensity) needed for particle discrimination, discarding redundant information. This extraction approach minimizes memory capacity requirements while preserving the core discrimination capability, resolving the contradiction between identification accuracy and memory usage.
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
The solution enables accurate discrimination between biologic and non-biologic particles with reduced computational burden, maintaining high processing speed and efficiency by using two-dimensional tables to represent complex three-dimensional data, thus addressing the limitations of high-accuracy discrimination standards.
Implementation Method 1
If a microorganism particle or non-microorganism particle is included in the air, then the particle that is illuminated by the light will produce fluorescence or scattered light will be produced by the particle
Implementation Method 2
If a microorganism particle or non-microorganism particle is included in the air, then the particle that is illuminated by the light will produce fluorescence
Data Source
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AI summary
A particle detecting device includes: a storing device adapted to store first boundary information wherein the third light intensity is recorded in a first range at a discriminating boundary for particles of first and second classifications, second boundary information wherein the third light intensity is recorded in a second range at a discriminating boundary for particles of first and second classifications, and discriminating information wherein identifiers for particles of the first and second classifications are recorded in cells bounded and not bounded by the discriminating boundary, respectively; and a particle identifying portion adapted to evaluate a particle being measured as a particle of the first classification when the identifier for a particle of the first classification is acquired based on the measured values for the first and second light intensities and the measured value for the third light intensity falls between the first and second boundary values.