A Reconstruction Method of Boiler Furnace Temperature Distribution Based on Acoustic Measurement

Wang, Hailin; Zhou, Xin; Yang, Qingfeng; Chen, Jianjun; Dong, Chenlong; Li, Zhao

doi:10.1109/tim.2021.3108225

Cited by 17 publications

(3 citation statements)

References 32 publications

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“…The relationship between the propagation velocity c (m/s) of sound waves in a gas medium and the absolute temperature T (K) of a gas medium can be expressed as [ 1 , 10 ]:

where z is the sound constant that is determined by the composition of the gas medium. For air, the value is 20.05.…”

Section: MDL Algorithmmentioning

confidence: 99%

“…The combustion condition monitoring of the power station boiler is highly critical to ensure the stable operation of the system and improve the combustion efficiency, where the change in temperature distribution in the furnace directly reflects the actual combustion situation of the furnace. Therefore, in order to achieve optimal combustion, as well as safe and efficient operation of the boiler, it is necessary to conduct real-time and accurate monitoring of the temperature distribution inside the boiler [ 1 , 2 , 3 , 4 , 5 ]. The change of atmosphere and ocean has an important impact on the climate and human survival activities, and these changes are also reflected in the change of temperature distribution to a certain extent [ 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

Wei

Yan

Zhou

2022

Sensors

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A reconstruction algorithm is proposed, based on multi-dictionary learning (MDL), to improve the reconstruction quality of acoustic tomography for complex temperature fields. Its aim is to improve the under-determination of the inverse problem by the sparse representation of the sound slowness signal (i.e., reciprocal of sound velocity). In the MDL algorithm, the K-SVD dictionary learning algorithm is used to construct corresponding sparse dictionaries for sound slowness signals of different types of temperature fields; the KNN peak-type classifier is employed for the joint use of multiple dictionaries; the orthogonal matching pursuit (OMP) algorithm is used to obtain the sparse representation of sound slowness signal in the sparse domain; then, the temperature distribution is obtained by using the relationship between sound slowness and temperature. Simulation and actual temperature distribution reconstruction experiments show that the MDL algorithm has smaller reconstruction errors and provides more accurate information about the temperature field, compared with the compressed sensing and improved orthogonal matching pursuit (CS-IMOMP) algorithm, which is an algorithm based on compressed sensing and improved orthogonal matching pursuit (in the CS-IMOMP, DFT dictionary is used), the least square algorithm (LSA) and the simultaneous iterative reconstruction technique (SIRT).

show abstract

“…The relationship between the propagation velocity c (m/s) of sound waves in a gas medium and the absolute temperature T (K) of a gas medium can be expressed as [ 1 , 10 ]:

where z is the sound constant that is determined by the composition of the gas medium. For air, the value is 20.05.…”

Section: MDL Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

Wei

Yan

Zhou

2022

Sensors

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show abstract

“…Ultrasound is commonly employed in medical applications, particularly for temperature imaging to diagnose carotid artery disease [ 16 ] and monitoring temperature during medical treatments like high-intensity focused ultrasound [ 17 , 18 ]. In certain industrial applications, furnaces are frequently utilized, and it is possible to visualize temperature distributions using acoustic tomography to ensure combustion stability [ 19 , 20 , 21 ]. Measuring temperature through ultrasound becomes challenging when the acoustic wave passes through media with significantly different acoustic impedances, such as metal–air coupling.…”

Section: Introductionmentioning

confidence: 99%

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Bouzid,

Chidami,

Lailler

et al. 2024

Sensors

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Measuring temperature inside chemical reactors is crucial to ensuring process control and safety. However, conventional methods face a number of limitations, such as the invasiveness and the restricted dynamic range. This paper presents a novel approach using ultrasound transducers to enable accurate temperature measurements. Our experiments, conducted within a temperature range of 28.8 to 83.8 °C, reveal a minimal temperature accuracy of 98.6% within the critical zone spanning between 70.5 and 75 °C, and an accuracy of over 99% outside this critical zone. The experiments focused on a homogeneous environment of distilled water within a stainless-steel tank. This approach will be extended in a future research in order to diversify the experimental media and non-uniform environments, while promising broader applications in chemical process monitoring and control.

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Reconstruction method of multidimensional spatio-temporal channel for highly dynamic temperature field based on acoustic tomography imaging

Li,

Zhou,

Zhu

et al. 2024

Applied Acoustics

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A Reconstruction Method of Boiler Furnace Temperature Distribution Based on Acoustic Measurement

Cited by 17 publications

References 32 publications

Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

Innovative Non-Invasive and Non-Intrusive Precision Thermometry in Stainless-Steel Tanks Using Ultrasound Transducers

Reconstruction method of multidimensional spatio-temporal channel for highly dynamic temperature field based on acoustic tomography imaging

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