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Intelligent identification method and identification device for quality of silicon material

A silicon material and intelligent technology, applied in the field of intelligent identification method and identification device of silicon material quality, can solve problems such as low work efficiency, difficulty in determining abnormal materials, and different judgment standards, so as to improve work efficiency, avoid classification errors, Distinguishing the effects of classification accuracy

Active Publication Date: 2017-09-01
ASIA SILICON QINGHAI
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In the prior art, the classification of silicon material products is made by the staff according to the classification standards. In actual work, there are many human factors affecting the judgment, and some abnormal materials are difficult to determine. Sometimes it is caused by sorting personnel or random inspection. Different judgment standards of personnel lead to inconsistent product classification, low work efficiency, and secondary pollution of silicon material products in the process of manual sorting

Method used

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  • Intelligent identification method and identification device for quality of silicon material
  • Intelligent identification method and identification device for quality of silicon material
  • Intelligent identification method and identification device for quality of silicon material

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Embodiment 1

[0024] see figure 1 , the present embodiment provides a method for intelligent identification of silicon material quality, comprising the following steps:

[0025] Step 100, the silicon material is placed on the conveying device, and is detected by the detecting device during the conveying process.

[0026] Step 110, extract the shape information to be recognized and the shape feature vector of the shape information sample according to the preset deep learning model, and calculate the similarity between the shape information to be recognized and the shape information sample based on the extracted shape feature vector value; according to the calculated similarity value, the shape information to be recognized is identified and classified.

[0027] For details below, see figure 2 .

[0028] Step 200, breaking the silicon rods into silicon materials, and breaking them to facilitate the analysis of the surface structure of the silicon materials.

[0029] Preferably, the steps ...

Embodiment 2

[0047] see image 3 , this embodiment provides an intelligent identification device 300 for the quality of silicon materials, including a crushing device 310 , a screening device 320 , a conveying device 330 , a detection device 340 , a control device 350 and a plurality of loading devices 360 .

[0048] The crushing device 310 is used to crush silicon rods to obtain silicon materials. Preferably, the crushing device 310 is located above the conveying device 330 , and the silicon material obtained after crushing the silicon rods by the crushing device 310 falls directly on the conveying device 330 , which facilitates the transportation of the conveying device 330 .

[0049] During the crushing process of the silicon rods by the crushing device 310 , powder and fine particles are generated, which are removed by the screening device 320 . Preferably, the screening device 320 is set on the conveying device 330, and the silicon material is screened during the conveying process. T...

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Abstract

The invention provides an intelligent identification method and an identification device for quality of a silicon material, and belongs to the technical field of silicon material production. The intelligent identification method comprises the following steps: placing silicon materials on a conveying device, detecting surface morphology of the silicon materials by using a detection device in the conveying process, collecting morphology information, calculating morphology information to be identified and a similarity value of a morphology information sample on the basis of the collected morphology information by using a preset deep learning model, recognizing the morphology information to be identified, conveying a conveying device by a control device to respectively convey the silicon materials into corresponding accomodating devices according to different classes. The identification device comprises a conveying device for conveying the silicon materials, a detection device, a control device and a plurality of accomodating devices for accomodating classified silicon materials, wherein the detection device is matched with the control device to classify the silicon materials. By adopting the identification method of the identification device, secondary pollution of artificial identification and classification upon the silicon materials is avoided, and meanwhile relatively accurate identification is achieved.

Description

technical field [0001] The invention relates to the technical field of silicon material production, in particular to an intelligent identification method and identification device for the quality of silicon material. Background technique [0002] There are many types of silicon materials. For example, according to the technical requirements of polysilicon, the silicon materials produced are classified into rod-shaped silicon materials, massive silicon materials, and granular silicon materials, and silicon materials are classified according to the structure and surface density of silicon materials. The appearance of the material is divided into dense material, cauliflower material, coral material and dense block material, dense bar material, cauliflower block material, cauliflower bar material, coral block material, coral bar material, etc. Special silicon materials such as silicon core peeling, silicon core abnormality, fish scales, dendrites, burnt flow, interlayer, carbon ...

Claims

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Application Information

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IPC IPC(8): G01N21/89G06K9/62G06N3/08
CPCG06N3/08G01N21/89G06F18/214
Inventor 宗冰王生红王体虎
Owner ASIA SILICON QINGHAI
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