Bioinspired IR Filter Sensor Array for Passive Chemical Detection
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Solution Overview
Problem
Current standoff detection methods for chemical vapors, whether using retroreflectors or passive IR sensors, face limitations such as requiring hazardous setups, low signal/noise, high cost, and reduced deployment due to size and expense, leading to increased lag times and reduced scanning areas.
Innovation Solution
A bioinspired IR chemical sensor system using multiple optical filter channels mimicking human color vision, which reduces complexity and size, enabling deployment without an IR source or spectrometer, and allows for rapid chemical identification through CDSD or CIE-IR analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If passive-IR spectrometers are used for chemical vapor detection, then operational flexibility is improved, but system size and cost increase
Solution Approach 1:
The spectrum is divided into multiple discrete wavelength channels (e.g., 3-5 channels) instead of using a full spectrometer. Each channel uses a broadband optical filter to detect specific wavelength ranges, segmenting the complex spectroscopic function into simpler, parallel detection paths that reduce overall system complexity and size.
Solution Approach 2:
The invention extracts only the essential spectral information needed for chemical identification by selecting specific wavelength channels that correspond to characteristic absorption features of target chemicals. This extraction approach eliminates the need for full-spectrum collection and processing, significantly reducing system complexity while maintaining detection capability.
2Adaptability or versatility
If passive-IR spectrometers are used for chemical vapor detection, then operational flexibility is improved, but system cost increases
Solution Approach 1:
The spectrum is divided into multiple discrete wavelength channels (e.g., 3-5 channels) instead of using a full spectrometer. Each channel uses a broadband optical filter to detect specific wavelength ranges, segmenting the complex spectroscopic function into simpler, parallel detection paths that reduce overall system complexity and size.
Solution Approach 2:
The invention extracts only the essential spectral information needed for chemical identification by selecting specific wavelength channels that correspond to characteristic absorption features of target chemicals. This extraction approach eliminates the need for full-spectrum collection and processing, significantly reducing system complexity while maintaining detection capability.
3Device complexity
If fewer sensors are deployed due to size and cost constraints, then system complexity is reduced, but detection coverage area decreases
Solution Approach 1:
The invention transitions from spatial resolution (multiple sensors covering different areas) to spectral resolution (multiple wavelength channels per sensor). By detecting chemical signatures through spectral analysis at a single location, the system maintains detection capability while reducing the number of physical sensors needed, thereby reducing complexity without sacrificing coverage area.
4Device complexity
If fewer sensors are deployed due to size and cost constraints, then system complexity is reduced, but detection lag time increases
Solution Approach 1:
The invention transitions from spatial resolution (multiple sensors covering different areas) to spectral resolution (multiple wavelength channels per sensor). By detecting chemical signatures through spectral analysis at a single location, the system maintains detection capability while reducing the number of physical sensors needed, thereby reducing complexity without sacrificing coverage area.
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 system achieves compact, cost-effective chemical detection and identification with minimal computation time, enhancing operational flexibility and reducing false alarms by using sensor arrays and internal communication to confirm chemical presence and direction.
Implementation Method 1
Passive-IR sensing approaches do not require the generation and downrange transmission of an IR source; rather, they rely on the IR emission of target chemicals, when viewed against the intrinsic IR background of the sky or terrestrial object
Implementation Method 2
an integrated response through three broadband optical filter channels
Implementation Method 3
Based on the interaction between target chemical absorption features and the optical filters installed on the channels, unique responses are generated for multiple target chemicals
Data Source
AI summary
A chemical-detecting apparatus includes an array of sensors. Each sensor of the array of sensors is oriented skyward in operation. Each sensor includes a chemical receiver including a plurality of infrared color vision filters cooperating to detect a plurality of infrared color vision signatures. The plurality of infrared color vision signatures respectively correspond to a plurality of chemicals. Each sensor includes a transmitter configured to transmit a detected chemical identifier, based on a detected infrared color vision signature of the plurality of infrared color vision signatures and corresponding to a detected chemical of the plurality of chemicals, to at least one neighboring sensor of the array of sensors. The transmitter is configured to transmit a detected chemical confirmation from the neighboring sensor to a first-identifying sensor of the array of sensors and is configured to transmit a confirmed chemical alarm, based on the detected chemical confirmation, from the first-identifying sensor.