Near-infrared transmittance spectroscopy on-line detecting system and method for fruit internal quality

Abstract

The invention discloses a near infrared transmittance spectroscopy on-line detecting system and method for fruit internal quality. The system comprises a conveying unit, a light source sleeve group, a light spectrum collection unit, a photoelectric switch, a frame and a computer, wherein the conveying unit comprises a conveying belt and trays, and is used for conveying fruits; the trays are arranged on the conveying belt at equal intervals and used for laying the fruits; the light source sleeve group comprises a light source and a lens; the center of the light source and the center of the lens are positioned in an identical normal line; the light source sleeve group is symmetrically arranged on the two sides of the conveying unit and fixed on the frame, and is used for illumination; the light spectrum collection unit comprises an optical fiber spectrometer and an optical fiber probe; the first end of the optical fiber probe is connected with the optical fiber spectrometer; the second end of the optical fiber probe is mounted below the conveying belt; a plane formed by the second end and the light source sleeve group is perpendicular to a line where the conveying belt is arranged; the optical fiber spectrometer is connected with the computer; the light spectrum collection unit is arranged in a closed dark box. The system can realize multi-index synchronous on-line detection for fruit internal quality.

Description

technical field [0001] The invention relates to the technical field of fruit quality detection, in particular to a near-infrared transmission spectrum online detection system and method for the internal quality of fruits. Background technique [0002] With the improvement of people's living standards, consumers' choice of fruit has shifted from focusing on appearance (surface) to taste, nutrition and function. The hidden defects inside the fruit cannot be detected intuitively. Therefore, it is particularly important to inspect the internal quality of the collected fruit. important. [0003] As a rapid non-destructive detection method, near-infrared spectroscopy has received widespread attention in fruit quality detection. The technical problems existing in the existing near-infrared diffuse reflectance spectroscopy online detection system for fruit quality are: the accuracy and stability of the detection depend on whether the size of the detected fruit is consistent, whethe...

AI Technical Summary

Problems solved by technology

The technical problems existing in the existing near-infrared diffuse reflectance spectroscopy online detection system for fruit quality are: the detection accuracy and stability depend on whether the detected fruit size is consistent, whether the fruit shape is normal, and due to the near-infrared light’s ability to penetrate the fruit Limited, near-infrared diffuse reflectance spectroscopy can only obtain fruit surface quality information

The existing fruit quality transmission spectrum detection system, which uses transmission spectrum to detect fruit quality, has the following technical problems: the transmission light intensity is weak, and an efficient spectrum acquisition method is required; transmission requires a high light source intensity, but it is easy to cause thermal damage to the fruit ; Generally designed for specific fruits, poor adaptability to different sizes and types of fruits, even for the same fruit, different varieties and origins will produce large spectral response deviations

The existing near-infrared diffuse reflectance spectroscopy online detection system for fruit quality uses a conveying tray. The light source and detector are installed on the same side of the fruit, which can prevent the ambient light from entering the detector on the other side of the fruit. Light reflected specularly from the surface can enter the detector and increase noise in the spectral information

[0005] The existing internal quality inspection of fruits is destructive inspection, which cannot meet the needs of large-scale processing in fruit production and processing

Images