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Study on the quality detection method of biochar based on red–green–blue image recognition technology

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Abstract

In order to quickly adjust the production process of biochar, keep the consistency of production conditions and reduce the production cost of biochar. In this paper, maize straw and rice husk were used as raw material for biochar preparation under 350–600 o C fully pyrolyzed by fixed bed quartz tube pyrolysis device. The image recognition technology was used to acquire the RGB value of biochar and translated into gray value. The relationship between gray value and pyrolysis temperature, proximate analysis, and calorific value was studied; the result showed that the gray value had a strong linear relationship with carbonization temperature. Moreover, the relationships between gray scale and volatile, fixed carbon met the DoseResp mold; the R2 reached nearly 0.999. However, the correlations between gray value and ash and net calorific value were weak. This study provided theoretical support for the rapid detection of biochar and timely feedback of large-scale production conditions of biochar.

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Abbreviations

RGB:

Red–green–blue

RHB:

Rice husk biochar

CNB:

Maize straw biochar

G:

Gray scale

G1 :

The color value of the green part

H:

Net calorific value

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Funding

This paper was financially supported by the National Natural Science Foundation of China (51706074) and the Bureau of Guangdong Forestry (Project No.2020KJCX008).

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Authors and Affiliations

  1. College of Materials and Energy, Key Laboratory of Ministry of Agriculture Energy Plant Resources and the Use, South China Agricultural University, Guangzhou, 510642, China

    Wang Mingfeng, Xiang Aihua, Yang Luhan, Zhong Xuan, Zhang Zhengyan, Gao Zhennan & Jiang Encheng

Authors
  1. Wang Mingfeng
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  2. Xiang Aihua
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  3. Yang Luhan
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  4. Zhong Xuan
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  5. Zhang Zhengyan
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  6. Gao Zhennan
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  7. Jiang Encheng
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Corresponding author

Correspondence to Wang Mingfeng.

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Highlights

1. Gray value had a strong linear relationship with carbonization temperature.

2. The relationships between gray scale and volatile, fixed carbon met the DoseResp mold.

3. The relationships between gray scale and ash and net calorific value were weak.

4. Gray value can be a good feedback the problems in the production process of biochar

Wang Mingfeng and Xiang Aihua are contributed equally to this work and should be considered as joint first authors

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Mingfeng, W., Aihua, X., Luhan, Y. et al. Study on the quality detection method of biochar based on red–green–blue image recognition technology. Biomass Conv. Bioref. 13, 11533–11541 (2023). https://doi.org/10.1007/s13399-021-01957-1

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  • DOI: https://doi.org/10.1007/s13399-021-01957-1

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