Prism-Mask Flame Imaging for 3D Hyperspectral Reconstruction
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Solution Overview
Problem
Existing reconstruction methods, such as single-point and scanning spectrometers, fail to provide accurate 3D spectral data with hyperspectral information for combustion analysis, and existing tomography techniques like SLOT are not applicable in combustion diagnosis due to limitations.
Innovation Solution
A 3D reconstruction device with prism-mask shooting systems and mirrors captures hyperspectral data from multiple angles, using a calibration cylinder for data alignment and a joint iterative algorithm for reconstruction, including perspective transformation, denoising, and spot-spot correction to reconstruct 3D spectral structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-point spectrometers or scanning spectrometers are used to obtain flame spectral information, then spectral data can be acquired, but 3D spatial resolution and dynamic spectral information cannot be obtained simultaneously
Solution Approach 1:
The system divides the measurement task into multiple spatial locations using multiple shooting systems arranged around the combustion area. Each shooting system captures spectral data from a specific angle and position, and the segmented measurements are later integrated to reconstruct complete 3D spectral information of the flame.
Solution Approach 2:
The invention transitions from single-point or line scanning measurements to three-dimensional volumetric measurement by adding spatial dimensions. Multiple shooting systems capture data from different angles and positions, transforming the measurement from 1D spectral data to 3D spectral-spatial data through tomographic reconstruction.
2Productivity
If analytic reconstruction algorithms based on Radon transformation are used, then reconstruction speed is improved, but noise immunity deteriorates and data completeness is highly demanded
Solution Approach 1:
The iterative reconstruction algorithm incorporates feedback mechanisms where each iteration uses the reconstructed result from the previous iteration to improve the next reconstruction. The algorithm continuously refines the solution by comparing projected data with actual measurements and adjusting the reconstruction accordingly, improving noise immunity while maintaining reasonable reconstruction speed.
Solution Approach 2:
The system changes the reconstruction approach from direct analytic methods to iterative numerical methods, fundamentally altering the parameter space and solution strategy. This allows the system to handle incomplete or noisy data by progressively refining the reconstruction through multiple iterations with regularization constraints.
3Adaptability or versatility
If iterative reconstruction algorithms are used, then reconstruction flexibility is improved, but banding artifacts are generated
Solution Approach 1:
The system applies local quality improvement by using spot-spot correction that addresses specific localized errors in the reconstruction. Instead of uniform processing, the correction focuses on specific regions and spectral channels where banding artifacts occur, applying targeted corrections to maintain overall reconstruction flexibility while improving local accuracy.
Solution Approach 2:
The invention uses reference copying by capturing images of a calibration cylinder with known geometric features. The corner coordinates of the calibration cylinder are extracted and used as reference data to correct distortions and artifacts in the flame reconstruction, effectively copying the known geometric structure to identify and correct systematic errors.
4Loss of information
If multiple shooting systems are deployed to capture hyperspectral data from multiple angles, then 3D spectral information acquisition capability is improved, but device complexity increases
Solution Approach 1:
Each shooting system is designed as a universal multi-functional unit that can capture spectral data from multiple angles. The prism-mask shooting systems are arranged around the combustion area, with each system capable of capturing hyperspectral information while the coordinated arrangement of multiple identical systems provides the multi-angle coverage needed for 3D reconstruction, reducing overall system complexity through standardization.
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 method enables high-accuracy, real-time acquisition of 3D hyperspectral flame data, reducing data acquisition costs and effectively eliminating banding artifacts, while achieving fast convergence and accurate reconstruction.
Implementation Method 1
each is provided with two mirrors which are tilted on the left and right of an axis of the shooting system, so that data of a flame is reflected by the two mirrors into the prism-mask shooting systems
Data Source
AI summary
A three-dimensional (3D) reconstruction device and a method of flame spectra are provided. The device has a plurality of prism-mask shooting systems and a plurality of mirrors. The prism-type shooting systems are set up around a combustion area to be reconstructed and each is provided with two mirrors which are tilted on the left and right of an axis of the shooting system, so that data of a flame are reflected by the mirrors into the prism-mask shooting systems, thus realizing the real-time acquisition of hyperspectral data of the flame from multiple shooting angles. The reconstruction method includes following steps of acquiring, by a calibration cylinder, an area to be reconstructed, synchronously acquiring and preprocessing hyperspectral data of a flame, and finally reconstructing 3D spectral data of the flame by a 3D reconstruction algorithm of flame spectra.