3D Radiance Field Estimation in Open Combustion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for estimating temperature and radiance fields in open combustion environments are inefficient and inaccurate due to complex computations and poor image quality, and fail to provide continuous, three-dimensional measurements of gas species distribution, which is crucial for monitoring combustion efficiency and environmental compliance.
Innovation Solution
A system utilizing an array of multi-spectral image-capturing devices arranged around the combustion environment to capture images in various spectral bands, employing tomographic reconstruction and triangulation to create real-time, three-dimensional visualizations of temperature, radiance, and gas species fields within a virtual bounding volume, allowing for precise modulation of combustion processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal radiation transfer equations are applied to temperature images for three-dimensional temperature and radiance field estimation, then temperature and radiance field data can be obtained, but the method is inefficient and inaccurate due to complex iterative computations and poor image quality from incorrect device alignment
Solution Approach 1:
The patent replaces complex iterative computational methods with a machine learning-based prediction model. Instead of applying thermal radiation transfer equations that require complex iterative computations, the system uses a trained machine learning model that directly predicts three-dimensional temperature and radiance fields from two-dimensional thermal images, significantly reducing computational complexity while maintaining or improving accuracy
Solution Approach 2:
The patent performs preliminary alignment calibration of image-capturing devices before actual measurements. By pre-calibrating the relative positions and orientations of multiple thermal cameras and establishing accurate spatial relationships among them, the system eliminates the need for complex iterative computations during operation, as the geometric relationships are already known from the calibration phase
2Loss of information
If conventional methods are used for detecting gas composition in open combustion environment, then presence or absence of gases can be detected along a viewing path, but three-dimensional distribution of gas species cannot be provided
Solution Approach 1:
The patent transitions from one-dimensional (point measurement) or two-dimensional (planar measurement) gas detection to three-dimensional gas species distribution measurement. By deploying multiple image-capturing devices at different positions and angles around the combustion environment and using tomographic reconstruction algorithms, the system reconstructs the three-dimensional distribution of gas species, providing comprehensive spatial information that conventional single-point or single-plane methods cannot achieve
3Measurement precision
If image-capturing devices are installed for detecting temperatures in combustion environment, then temperature data can be obtained, but relative positions of devices and imaging areas shift causing significant errors
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the relative positions and orientations of multiple image-capturing devices using fiducial markers or reference features in the field of view. When deviations from the calibrated positions are detected, the system automatically compensates for these shifts by adjusting the geometric relationships in the data processing algorithm, thereby maintaining measurement accuracy despite physical displacements of the devices
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 accurate, real-time monitoring and optimization of combustion processes by providing high-resolution data on temperature, radiance, and gas species concentrations, improving combustion efficiency and compliance with environmental regulations.
Implementation Method 1
multi-spectral image-capturing devices...capture images in various spectral bands
Implementation Method 2
employing tomographic reconstruction and triangulation to create real-time, three-dimensional visualizations
Data Source
AI summary
Process for measuring emission for a flame in an open combustion environment. A captured image is received from each of a plurality of image capturing devices in at least one selected spectral band. Each of the plurality of image capturing devices is trained on the flame from the combustion process from a different perspective view angle. A spectral path length of the flame in the at least one spectral band is estimated from the captured images. Emitted radiance of the flame is estimated from the captured images, and a temperature of the flame is estimated from the estimated emitted radiance. A gas species concentration of the flame is estimated from the temperature of the flame and the spectral path length of the flame. Emission for the flame is measured from the gas species concentration.