Infrared Sensor Array for Volcanic Ash Detection
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Solution Overview
Problem
Current avionic systems lack the capability to effectively detect and differentiate volcanic ash, sulphur dioxide, and ice-coated ash particles ahead of aircraft at cruise altitudes, posing hazards to engines and airframes, and existing detection methods are unreliable and sporadic, especially for airports distant from volcanic sources.
Innovation Solution
A method and apparatus using infrared sensors and radiative transfer models to determine brightness temperature values, with a data processor and look-up tables to identify adverse atmospheric conditions, providing alerts and distinguishing volcanic substances from other atmospheric components by analyzing infrared radiance across multiple frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional weather radar is used to detect adverse atmospheric conditions, then detection capability for thunderstorms and cumulonimbus clouds is improved, but detection capability for volcanic ash, sulphur dioxide, and ice-coated ash particles remains insufficient
Solution Approach 1:
The system segments the detection task by using multiple infrared sensors tuned to different frequency bands, each sensitive to specific atmospheric components (volcanic ash, sulphur dioxide, water vapour, ice particles). This allows simultaneous detection of multiple adverse conditions that a single radar system cannot distinguish.
Solution Approach 2:
The infrared detection system serves multiple functions: detecting volcanic ash clouds, sulphur dioxide gas, water vapour distribution, and ice-coated ash particles. A single integrated system replaces the need for separate detection systems for each hazard type.
2Measurement precision
If infrared sensors with multiple frequency detection are deployed, then ability to differentiate volcanic substances from other atmospheric components is improved, but device complexity increases
Solution Approach 1:
A data processing unit with pre-stored spectral signature databases acts as an intermediary between the infrared sensors and the detection algorithms. The processing unit compares measured infrared radiance patterns against known spectral signatures of volcanic substances, simplifying the complex task of substance identification.
Solution Approach 2:
Spectral signature databases for various atmospheric substances (volcanic ash, sulphur dioxide, water vapour, ice particles) are pre-computed and stored in the system memory before flight. This preliminary preparation eliminates the need for complex real-time calculations during detection, reducing onboard processing complexity.
3Speed
If real-time detection and alerting systems are implemented, then response time for avoiding adverse conditions is improved, but loss of time for data processing and analysis increases
Solution Approach 1:
The system performs detection at periodic intervals along the flight path, continuously scanning for adverse atmospheric conditions. This periodic sampling approach balances real-time monitoring needs with processing time constraints, providing timely alerts without requiring constant analysis.
Solution Approach 2:
The system uses pre-stored spectral signature copies in its database for comparison against real-time measurements. This copying approach allows rapid matching without complex real-time spectral analysis, significantly reducing processing time while maintaining detection accuracy.
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 detection of volcanic ash, sulphur dioxide, and ice-coated ash particles, reducing the risk of engine damage and flight disruptions by providing timely and reliable warnings to aircraft crews, and is applicable to various adverse atmospheric conditions.
Implementation Method 1
spatially detecting infrared radiance in different bands of infrared light
Implementation Method 2
creating and/or utilizing a model of the atmosphere based on simulation of infrared radiative transfer characteristics
Data Source
AI summary
System and method for detecting adverse atmospheric conditions ahead of an aircraft. The system has multiple, infrared cameras 8 adjusted to spatially detect infrared radiance in different bands of infrared light, wherein each camera is connected to an image processing computer that processes and combines the images, and generates video display signals for producing a video display which indicates the position of the adverse atmospheric conditions relative to the aircraft. Each of the cameras is provided with a respective filter adjusted to filter infrared light with a bandwidth corresponding to infrared bandwidth characteristics of an adverse atmospheric condition from a set of adverse atmospheric conditions. The image processing computer is adapted to identify adverse atmospheric conditions, said identifying being based on threshold conditions and using the detected infrared radiance, data from a look-up table and measured parameters including information on the position and/or attitude of the aircraft. The image processing computer is further adapted to display the identified adverse atmospheric conditions as a spatial image on a display.