Near-infrared spectrum fruit quality online detection system achieving automatic placement of references

Abstract

The invention discloses a near-infrared spectrum fruit quality online detection system achieving automatic placement of references. The system comprises a light source system, a spectrum acquisition system, a conveying system and an automatic reference feeding system; the light source system comprises halogen tungsten lamps and lamp tubes which are symmetrically arranged on the two sides of a conveyor belt; the spectrum acquisition system comprises a collimating lens, an optical fiber, a spectrometer, a position sensor and a computer; when a fruit tray loading fruit to be detected is conveyed to the portion above the collimating lens through the conveying system, and the position sensor is triggered, the spectrometer gives a response, and spectrum acquisition is conducted; the automatic reference feeding system is composed of an electric telescopic rod, a reference clamping device, a reference ball and a PLC, the PLC controls the electric telescopic rod to drive the reference clamping device to move up and down, and automatic acquisition of a reference spectrum is conducted. According to the near-infrared spectrum fruit quality online detection system achieving automatic placement of the references, real-time detection of a fruit spectrum is achieved, automatic placement of the references and automatic acquisition of the reference spectrum are achieved, man-made interference is reduced, and the accuracy and automation degree of fruit quality detection are improved.

Description

technical field [0001] The invention relates to a device for online detection of fruit quality, in particular to a near-infrared spectrum online detection system for fruit quality with automatic placement of references. Background technique [0002] my country is a big fruit producing country, and the total fruit output of our country ranks first in the world, but our country is not a strong fruit producing country, the main reason is that the level of post-harvest commercialization of fruits in our country is relatively low, and developed countries need to clean and dry the fruits that are about to go on the market. Waxing, anti-corrosion and fresh-keeping, selection, grading, packaging and other commercial processing, the appearance quality is uniform and the market competitiveness is strong. [0003] Taking fresh apples as an example, the current national standards are divided into three export standards: AAA, AA and A, and are evaluated and screened from five aspects: fru...

AI Technical Summary

Problems solved by technology

At present, fruit sugar detection mainly relies on destructive sampling, which not only has

Images