Cloud image analysis of temperature changes during bulk corn microbiological heating
Heat generation is inevitable during grain storage, i.e., temperature would raise in grain bulk mainly caused by environment and microbiology. However, grain usually has great thermal resistance, the inner grain bulk temperature would raise quickly caused by microbiology when mold appeared and propa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
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| Series: | International Journal of Food Properties |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10942912.2021.2000432 |
| Summary: | Heat generation is inevitable during grain storage, i.e., temperature would raise in grain bulk mainly caused by environment and microbiology. However, grain usually has great thermal resistance, the inner grain bulk temperature would raise quickly caused by microbiology when mold appeared and propagated. Temperature has a direct relation with the grain quality, and generally used as a key index to monitor stored grain. Quickly and visual methods to show and predict the temperature of inner grain bulk would improve stored grain security. In this study, grain storage test was carried out in a house (4 m × 4 m × 7 m) with 30,000 kg corn (14.0%, wb). During the whole experiment, the mold analysis was carried out by detecting fungal spore. Heat transfer in the bulk corn during microbial heating was analyzed through cloud image created by MATLAB. Temperature changes of vertical and horizontal sections in the bulk corn were drawn to be cloud image. Areas of the six sections and bulk volume with a temperature over 25°C were calculated at different times. Then the relationships between the areas, volume and temperature difference were established. The results showed that under the action of microorganism, the center of bulk corn formed quickly high-temperature zone. The heat transfer distance (equivalent radius r) in the vertical and horizontal sections was a function of temperature difference $$\nabla {\rm{ T}}$$, which showed an obvious linear relationship during high-temperature zone development. The volume of the high-temperature zone was a cubic polynomial function of temperature difference $$\nabla {\rm{ T}}$$. This study provides a new method for predicting the development of microbiological heating in grain storage and lays a foundation for research on stored grain automatic management. |
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| ISSN: | 1094-2912 1532-2386 |