3-D Reconstruction of Flame Temperature Distribution Using Tomographic and Two-Color Pyrometric Techniques

Zhou, Zhong; Tian, Delei; Wu, Zhaohui; Bian, Zhiyi; Wu, Wei

doi:10.1109/tim.2015.2444251

Cited by 32 publications

(7 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, the physical nature of flame illumination has been utilized using the mathematical black-body radiation model to aid in flame temperature reconstruction [24], [25], [26]. Unfortunately, the black-body radiation model by itself cannot provide realistic visual flame results, which limits its application in the computer graphics domain.…”

Section: Flame Color and Temperature Measurementmentioning

confidence: 99%

Radiative Transport Based Flame Volume Reconstruction from Videos

Shen

Zhu

Nadeem

et al. 2018

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

We introduce a novel approach for flame volume reconstruction from videos using inexpensive charge-coupled device (CCD) consumer cameras. The approach includes an economical data capture technique using inexpensive CCD cameras. Leveraging the smear feature of the CCD chip, we present a technique for synchronizing CCD cameras while capturing flame videos from different views. Our reconstruction is based on the radiative transport equation which enables complex phenomena such as emission, extinction, and scattering to be used in the rendering process. Both the color intensity and temperature reconstructions are implemented using the CUDA parallel computing framework, which provides real-time performance and allows visualization of reconstruction results after every iteration. We present the results of our approach using real captured data and physically-based simulated data. Finally, we also compare our approach against the other state-of-the-art flame volume reconstruction methods and demonstrate the efficacy and efficiency of our approach in four different applications: (1) rendering of reconstructed flames in virtual environments, (2) rendering of reconstructed flames in augmented reality, (3) flame stylization, and (4) reconstruction of other semitransparent phenomena.

show abstract

Section: Flame Color and Temperature Measurementmentioning

confidence: 99%

Radiative Transport Based Flame Volume Reconstruction from Videos

Shen

Zhu

Nadeem

et al. 2018

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…However, Jenkins and Hanson [59] argued that the radiation intensity in the visible range is lower than that in the IR range, result ing in low signaltonoise ratios and, consequently, in high uncertainties in the visible range. Typical applications of dual wavelength soot pyrometry systems include the measurement of soot temperature and/or volume fraction of diffusion and/ or premix open flames [67][68][69][70][71][72] and also of pulverized coal flames [73][74][75]. However, as exposed throughout the next two paragraphs, most published works on dualwavelength soot pyrometry are related to the combustion process in diesel engines.…”

Section: Soot Pyrometrymentioning

confidence: 99%

Multi-spectral pyrometry—a review

Araújo¹

2017

Meas. Sci. Technol.

View full text Add to dashboard Cite

In pyrometry measurements, the unknown target emissivity is a critical source of uncertainty, especially when the emissivity is low. Aiming to overcome this problem, various multi-spectral pyrometry systems and processing techniques have been proposed in the literature. Basically, all multi-spectral systems are based on the same principle: the radiation emitted by the target is measured at different channels having different spectral characteristics, and the emissivity is modelled as a function of wavelength with adjustable parameters to be obtained empirically, resulting in a system of equations whose solution is the target temperature and the parameters of the emissivity function. The present work reviews the most important multi-spectral developments. Concerning the spectral width of the measurement channels, multi-spectral systems are divided into multi-wavelength (monochromatic channels) and multi-band (wide-band channels) systems. Regarding the number of unknowns and equations (one equation per channel), pyrometry systems can either be determined (same number of unknowns and equations, having a unique solution) or overdetermined (more equations than unknowns, to be solved by least-squares). Generally, higher-order multi-spectral systems are overdetermined, since the uncertainty of the solutions obtained from determined systems increases as the number of channels increases, so that determined systems normally have less than four channels. In terms of the spectral characteristics of the measurement channels, narrow bands, far apart from each other and shifted towards lower wavelengths, seem to provide more accurate solutions. Many processing techniques have been proposed, but they strongly rely on the relationship between emissivity and wavelength, which is, in turn, strongly dependent on the characteristics of a particular target. Several accurate temperature and/or emissivity results have been reported, but no universally accepted multi-spectral technique has yet been developed.

show abstract

“…Thermo graphical [5] data analysis of various process steps. Pseudo-coloring of thermo gram is one of the vital variables for exact finding.…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of Mathematical Model based Region of Interest for Rotary kiln Burning Zone Temperature in Cement Industry by Digital Image Processing

Prasanna¹,

Bojja²

2019

IJITEE

View full text Add to dashboard Cite

Industrial processes particularly cement manufacturing unit consumes about 7% of total fuel used in the industry and hence there are strenuous efforts to reduce the fuels and lower the production costs by applying Optimal Control Algorithms. In order to achieve these parameters in the Rotary Kiln Plant, we need to continuously monitor the temperatures of the burning zone inside the rotary kiln at Regions of Interest (ROI) in real-time. In this image processing setup a thermal camera samples the temperatures inside the kiln at a rate of 5 frames per 2 seconds. The images which are highly sensitive to red and green wavelengths provide sufficient resolution to differentiate between various burning temperatures. The present burning zone temperature measurement obtained from the radiation pyrometer is not reliable on the one hand and indicates temperature information about particular point in the burning zone on the other hand. This is inadequate for optimizing the operation the kiln where a kiln furnace camera has been already installed at the plant for watching the burning status the inside the kiln. Software will be developed to determine the temperature T, for the video captured from the camera. Presently real time video from the camera is displayed in a computer monitor at kiln control room. We will tap the video signal from the setup and the calculate the burning zone temperature at the Region of Interest utilizing real time Image Processing Technologies. The temperature signal so estimated will be validated using the radiation pyrometer signal obtained from the field. The graphical tool developed in MATLAB automatically converts the receiving color images to temperature measure by proposed algorithms and also interactively analyzes the temperatures in a neat graphical user interface, in less than 2 seconds duration. ROI can be selected by a movable and re-sizable window which acts like a probe on the kiln temperatures at this instant, then displays the summary statistics of the temperatures. The tool is extended to provide a real-time graph of average temperature in the ROI over a long time when the probe is fixed at a particular region. However, the developed temperature tool and the point burning zone temperature measured by a proposed mathematical model as like thermocouple in the plant. The results are carried out by MATLAB software and benefits will be quantified in terms of enhancement in the Production efficiency, Energy efficiency, Pollution Control and clean environment.

show abstract

3-D Reconstruction of Flame Temperature Distribution Using Tomographic and Two-Color Pyrometric Techniques

Cited by 32 publications

References 19 publications

Radiative Transport Based Flame Volume Reconstruction from Videos

Radiative Transport Based Flame Volume Reconstruction from Videos

Multi-spectral pyrometry—a review

Development and Evaluation of Mathematical Model based Region of Interest for Rotary kiln Burning Zone Temperature in Cement Industry by Digital Image Processing

Contact Info

Product

Resources

About