Simulation Spectrum Apparatus for Contaminated Atmosphere Detection
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Solution Overview
Problem
Current remote chemical gas detection technologies face challenges in reliably detecting toxic substances due to variations in spectral characteristics caused by climatic and environmental factors, making it difficult to apply data collected in one region to another, and the high cost of constructing large-sized chambers for spectrum database generation.
Innovation Solution
A simulation spectrum apparatus and method that generates a simulated infrared hyper-spectral imaging spectrum characteristic data for atmospheric contamination with toxic substances without actual contamination, using a background image acquisition unit, spectrum acquisition unit, simulation spectrum generation unit, and imaging unit to create a simulation contamination cloud image, allowing for the analysis of detection algorithm performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large-sized chamber equipped with outdoor safety facility is constructed to collect spectrum characteristics for detecting toxic substances, then the reliability of remote toxic substance detection is improved, but the construction cost increases hugely
Solution Approach 1:
The patent creates a simulated contamination cloud image that copies the spectral characteristics of actual toxic substance contamination without requiring physical contamination. The simulation spectrum generation unit generates a model that replicates the radiation intensity spectrum characteristics of a contamination cloud, allowing detection algorithms to be tested and validated using synthetic data that mirrors real-world conditions.
Solution Approach 2:
The patent introduces a simulation spectrum generation unit as an intermediary between the need for reliable detection data and the avoidance of expensive physical chambers. This unit uses input parameters (atmosphere transmittance, toxic substance information) to generate intermediate simulated spectrum data that serves as a proxy for actual contamination measurements, eliminating the need for costly infrastructure.
2Loss of information
If spectrum data is collected in one region (e.g., Czechoslovakia) to build a spectrum characteristic database, then the database can be used for detection analysis, but the data becomes difficult to apply in other regions due to climatic and environmental variations
Solution Approach 1:
The patent enables region-independent spectrum simulation by allowing users to input and adjust parameters such as atmosphere transmittance and toxic substance characteristics. The simulation spectrum generation unit processes these parameters to generate contamination cloud spectra that can be adapted to any geographic location's specific atmospheric conditions, making the detection system universally applicable without requiring region-specific database collections.
3Measurement precision
If actual toxic substances are used to create contamination clouds for spectrum collection, then real spectrum characteristics can be obtained, but the atmosphere becomes contaminated causing safety and environmental hazards
Solution Approach 1:
The patent converts the harmful effect of requiring actual toxic substances into a beneficial simulation process. Instead of releasing real toxic chemicals to obtain spectrum data, the simulation spectrum generation unit creates synthetic contamination cloud images that preserve the spectral characteristics needed for detection accuracy while eliminating all safety and environmental hazards associated with physical contamination.
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 reliable remote detection of toxic substances by simulating contamination cloud images, reducing the need for physical chambers and allowing for the analysis of detection algorithm performance, thereby improving detection reliability and reducing costs.
Implementation Method 1
a background image acquisition unit that includes at least one camera and an infrared sensor and acquires a background image of a target region and an infrared signal corresponding to each pixel of the background image
Implementation Method 2
a simulation spectrum generation unit that generates a model of a linear combination of a radiation intensity spectrum of a contamination cloud and a background radiation intensity spectrum on the basis of a difference in radiation intensity, which depends on whether or not the contamination cloud is present
Data Source
AI summary
Provided is a simulation spectrum apparatus including: a background image acquisition unit that acquires a background image of a target region and an infrared signal corresponding to each pixel of the background image; a spectrum acquisition unit that acquires a background radiation intensity spectrum from the infrared signal acquired for the each pixel; a simulation spectrum generation unit that generates a model of a linear combination of a radiation intensity spectrum of a contamination cloud and a background radiation intensity spectrum on the basis of a difference in radiation intensity; a controller that generates a simulation spectrum of the contamination cloud by applying the information on the at least one toxic substance and the atmosphere transmittance to the model of the linear combination; and an imaging unit that generates a spectrum image, combines the generated spectrum image and the background image, and thus generates a simulation contamination cloud image.