Fruit internal quality spectrum detection device capable of performing automatic reference and dark field acquisition

Abstract

The invention discloses a fruit internal quality spectrum detection device capable of performing automatic reference and dark field acquisition. The fruit internal quality spectrum detection device comprises a sealed profile frame, a conveying unit, a light illuminating unit, a reference rotating mechanism, a light receiving unit and photovoltaic triggering units; in the profile frame, the conveying unit penetrates through the middle part of a bottom plate of the profile frame, both of the light illuminating unit and the reference rotating mechanism are installed at the right side of the conveying unit, the light receiving unit is installed at the left side of the conveying unit, and the photovoltaic triggering units are installed at the left side and the right side of the conveying unit. A steering engine controls the reference rotating mechanism to rotate so as to acquire an automatic reference spectrum; the light receiving unit transmits transmission light to a spectrograph to acquire the spectrum of a fruit. By adopting the fruit internal quality spectrum detection device, the automatic reference spectrumacquisition and the acquisition of a dark-field spectrum in the case of not closing the light source are realized in the near-infrared spectrum detection for the internal quality of the fruit; and when no fruit is on the conveying unit, the incident light source is blocked by virtue of the control of the steering engine so as to prevent the incident light from directly illuminating the light receiving unit.

Description

technical field [0001] The invention relates to a near-infrared spectrum fruit internal quality detection device, in particular to a fruit internal quality spectrum detection device capable of automatic reference and dark field collection. Background technique [0002] China is a big producer of fruits and vegetables. With the continuous improvement of people's living standards, consumers are willing to buy high-quality products when buying fruits and vegetables. However, China's fruit and vegetable export volume is far behind that of Japan, the United States and many western countries, and it lacks international market competitiveness. The main reason is that the post-harvest processing technology of Chinese fruits is poor, and the quality of fruits is uneven, which makes it impossible to guarantee the export quality of fruits. The application of online detection technology will help to grade fruits and vegetables according to different indicators. Compared with traditiona...

AI Technical Summary

Problems solved by technology

[0003] During the online detection of fruits, the current reference placement is basically done manually. Manual placement of references may cause differences in spectral curves due to differences in placement positions and angles, thereby affecting detection accuracy. Automatic placement of references can avoid this phenomenon. , to improve detection accuracy

[0004] When the fruit is detected online, the current dark field acquisition is basically completed by turning off the light source. When the light source is turned on again for other detections, the energy emitted by the light source will be unstable, which will affect the detection accuracy. The collection of dark field information spectrum improves the detection accuracy. At the same time, when there is no fruit on the fruit conveying unit, the light source will directly illuminate the optical fiber, causing damage to the optical fiber. At present, many devices do not consider the protection of the optical fiber.

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