Nondestructive testing and grading device and method for pineapples

Abstract

The invention belongs to the field of nondestructive testing, and discloses a nondestructive testing and grading device for pineapples. The nondestructive testing and grading device comprises a controller, a first conveying belt, a second conveying belt and a dynamic weighing conveyor, a rotating disc module is arranged below the dynamic weighing conveyor, and the rotating disc module is used for driving the dynamic weighing conveyor to rotate by 360 degrees in the horizontal direction; the tail ends of a third conveying belt, a fourth conveying belt and a fifth conveying belt are correspondingly connected with nondestructive testing equipment based on visible light / near infrared light; and a first sensor is arranged between the dynamic weighing conveyor and the second conveying belt. According to the device, the conveying direction of the pineapples can be simply and effectively judged, the pineapples are subjected to primary grading through the weight, then the pineapples consistent in conveying direction are detected through the nondestructive testing equipment, the testing position is accurate, the testing result is reliable, and grading can be conducted according to the sizes of the pineapples and whether the pineapples have the saccharification disease or not; and meanwhile, the invention further discloses a pineapple grading method.

Description

technical field [0001] The invention relates to the field of non-destructive testing and processing, in particular to a pineapple non-destructive testing and grading device and method. Background technique [0002] CN201910938730.9 discloses a method and device for automatic grading and sorting of pineapples based on binocular vision and multi-spectral detection technology. First, the binocular vision system is used to detect the size and color maturity of pineapples, and then the external quality of pineapples is graded; then Using multi-spectrum to detect whether the inside of the pineapple is damaged, according to the spectral curve characteristics of the internal water content and carbohydrate content of the normal pineapple and the black heart pineapple, detect and judge the internal quality of the pineapple, and classify the internal quality of the pineapple; finally, according to the above detection results Automatic grading and sorting of pineapples. [0003] In thi...

AI Technical Summary

Problems solved by technology

[0005] In the existing technology, the way that can be realized is through the method of visual analysis, but the method of visual analysis needs to write more complex algorithms on the one hand, and on the other hand, it needs to carry out targeted training for pineapples with different maturity levels. more complex

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