Classification of potato and impurities based on active thermal infrared imaging
Aiming at the problem of removing impurities such as rocks and clods from stored potatoes,a classification method of potato and impurities based on active thermal infrared imaging was proposed.Firstly,the heat transfer model of potato and impurity was established based on lumped parameter method,and the factors affecting the heating effect and leading to temperature difference were obtained as material thermal properties,wind speed,wind direction angle and wind temperature.Then,using the finite element method(FEM)to analyze the thermal image of potatoes and impurities under the hot air excitation,the potato surface temperature was significantly higher than that of rocks and clods,and four level single factor simulation experiment was carried out for the wind speed,wind direction angle and wind temperature respectively,and it was concluded that the difference in surface temperature of potatoes and impurities was nonlinear and positively related to the wind speed,wind direction Angle and wind temperature in a certain period of time.Finally,potatoes and impurities were classified on the test platform.The experimental results showed that the optimal image recognition conditions were wind speed of 4 m/s,wind temperature of 40 ℃ and wind direction angle of 90°,and the recognition success rate was 97％.It can provide technical reference for potato removal in harvesting-storage process.
万方数据
维普
