Microwave spectra inside the combustion chamber of a kraft recovery boiler – effects on communications

Korhonen, Ilkka; Ahola, Jero

doi:10.1049/iet-smt.2016.0384

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…The attenuation results mean, merged to noise level studied in paper [1], that in biggest boilers, the wireless communication link demands many antennas for a sensor freely propagating in the furnace area. In addition, it means, again attenuation merged with noise, that wide band systems, as Bluetooth or WLAN, does not operate in the furnace area of KRB.…”

Section: Discussionmentioning

confidence: 71%

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Microwave attenuation in kraft recovery boiler

Korhonen

Ahola

2018

IET Microwaves, Antennas & Propagation

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The authors' research group is developing a mobile sensor for operation inside combustion chambers of big industrial power plants. The aim of developing the ball‐formed sensor is to measure process information inside big combustion chambers (heat power over 100 MW), hopefully mainly from places which cannot be reached by ordinary measurement equipment outside the chamber. The sensor ball needs means for communication during operation. In order to provide a reliable communication link through the extreme harsh conditions, one must clarify the basic phenomena inside combustors, especially electromagnetic noise and attenuation. According to measurements, attenuation at frequency band 2–18 GHz is ∼10 dB/m.

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Section: Discussionmentioning

confidence: 71%

“…Noise in kraft recovery boilers (KRBs) is studied in a paper earlier published by our group. In the paper, it is observed that noise due to high temperatures in the chamber limits the usage of wide-band communication solutions [1].…”

Section: Introductionmentioning

confidence: 99%

Microwave attenuation in kraft recovery boiler

Korhonen

Ahola

2018

IET Microwaves, Antennas & Propagation

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“…燃烧火焰信息是反映炉膛燃烧状况是否稳定最为直接有效的特征 [15] , 如何准确、快速、可靠地检测炉膛燃烧火焰是提高燃料利用率、确保锅炉安全运行的重要手段. 而颜色信息作为火焰燃烧时最明显的特征, 可有效地反映出火焰燃烧的温度情况, 因此利用基于颜色模型的方法来辨识燃烧火焰情况是最直接有效的.…”

Section: 算法思想unclassified

Identification method for furnace flame based on adaptive color model

Zhang¹,

Fei²,

Wang³

et al. 2018

Sci. Sin.-Inf.

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A kiln and boiler combustion system is a complex nonlinear system. The method of an adaptive color model for furnace flame recognition is proposed to improve real-time flame detection and the recognition effect of combustion flames．First, a variable adaptive color model was designed by using the combustion characteristics of furnace flames. The expression of the threshold in the adaptive color model was deduced by the method of maximum classes square error. Based on this, the human-learning optimization algorithm was used to solve the optimal segmentation threshold. Then, fast and accurate identification of the combustion conditions of furnace flames was achieved. Simulation results are presented to verify the feasibility and effectiveness of the proposed results.

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Studying thermal protection for mobile sensor operating in combustion environment

Korhonen

Ahola

2019

Measurement

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Microwave spectra inside the combustion chamber of a kraft recovery boiler – effects on communications

Cited by 4 publications

References 18 publications

Microwave attenuation in kraft recovery boiler

Microwave attenuation in kraft recovery boiler

Identification method for furnace flame based on adaptive color model

Studying thermal protection for mobile sensor operating in combustion environment

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