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Method and device for automatically sorting tobacco leaves based on neural network

A neural network, automatic sorting technology, applied in sorting, tobacco, tobacco preparation, etc., can solve the problems of non-standardization of tobacco leaf sorting, poor sorting quality, and low sorting efficiency, so as to improve the application breadth, improve The effect of intelligence and precision

Pending Publication Date: 2019-11-22
SHENZHEN MICROBLUE INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of this application is to provide a method and device for automatically sorting tobacco leaves based on a neural network to solve the technical problems of non-standardized tobacco leaf sorting, poor sorting quality, low sorting efficiency, and high cost in the prior art

Method used

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  • Method and device for automatically sorting tobacco leaves based on neural network
  • Method and device for automatically sorting tobacco leaves based on neural network
  • Method and device for automatically sorting tobacco leaves based on neural network

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Embodiment 1

[0072] like figure 1 As shown, it is a schematic flow diagram of automatic sorting of tobacco leaves based on neural network in this embodiment, using a transmission device to transport tobacco leaves, uniformly distributed vibration to obtain separately distributed tobacco leaves, and then push back the hyperspectral imaging area to the natural visible light area, Establish a hyperspectral multi-dimensional feature library of tobacco leaves, and then perform machine learning on the hyperspectral multi-dimensional feature library and natural light multi-dimensional feature library. The model learning method of lightgbm can be used to establish a correlation model between natural light and spectral features in the tobacco leaf sorting process, and then carry out tobacco leaf sorting. Automatic sorting. Specifically, the method includes the following steps:

[0073] Step 101, dismantling the packed tobacco leaves through the unpacking machine and then feeding them into the vibr...

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Abstract

The invention provides a method and a device for automatically sorting tobacco leaves based on a neural network. The device comprises an unpacking machine connected with a vibrating conveyor, the vibrating conveyor connected with the unpacking machine and a height limiting mechanism, a height limiting mechanism connected with the vibration conveyor and an uniform distribution conveyor belt, an uniform cloth conveying belt connected with the height limiting mechanism and a tobacco leaf sorting device, the tobacco sorting device connected with the uniform distribution conveyor belt and a tobaccosorting box packing device to obtain natural images of the to-be-sorted tobacco leaves, the natural characteristic information data of the to-be-sorted tobacco leaves are analyzed, compared with a natural classification strategy obtained by training through a preset tobacco neural network, the sorting levels of the to-be-sorted tobacco leaves is obtained, and the to-be-sorted tobacco leaves are conveyed to the tobacco sorting box packing device according to the sorting grade, and the tobacco sorting box packing device connected with the tobacco sorting device and a tobacco placing box. According to the method and the device, intelligent, efficient, standardized and low-cost tobacco leaf sorting is realized.

Description

technical field [0001] The present application relates to the technical field of automatic control, in particular to a method and device for automatically sorting tobacco leaves based on a neural network. Background technique [0002] Tobacco leaf is a raw material for the tobacco industry and is an important economic crop. The planting area in my country is also very wide, and it occupies an important position in my country's agricultural production. The quality and production process of tobacco leaves will directly affect the quality of tobacco products made from tobacco leaves. In the process of planting tobacco leaves, due to the influence of different regional climates, environments, soils, tobacco leaf varieties, growing parts, planting methods, and baking and preservation processes, the quality of tobacco leaf raw materials varies greatly. [0003] Therefore, it is necessary to grade tobacco leaves of different qualities, and produce tobacco leaf products of differen...

Claims

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Application Information

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IPC IPC(8): B07C5/34B07C5/342B07C5/36B07C5/02A24B3/16
CPCB07C5/34B07C5/342B07C5/361B07C5/02A24B3/16
Inventor 徐升任翔汤恒亮张永耿张剑
Owner SHENZHEN MICROBLUE INTELLIGENCE TECH CO LTD