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煙葉自動(dòng)分離及智能定級分揀系統的研究
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太原科技大學(xué)

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山西省專(zhuān)利推廣實(shí)施資助專(zhuān)項(項目編號:20210521);山西省重點(diǎn)研發(fā)計劃項目資助(項目編號:201903D321012)。


Research of automatic tobacco separating and intelligent grading sorting system
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    摘要:

    當前,科學(xué)技術(shù)和人工智能的快速發(fā)展,為煙葉的自動(dòng)分離和煙葉質(zhì)量的自動(dòng)檢測分析提供了有效的方法和手段;針對目前煙葉的分離和分級仍采用傳統的人工方式,從而使分級結果的主觀(guān)性較強,導致分級不具備科學(xué)性、客觀(guān)性等一系列問(wèn)題的出現,提出對煙葉自動(dòng)分離及智能分級分揀系統的研究。該系統在設計上以工業(yè)計算機為核心,使用Visual Basic編程語(yǔ)言編制軟件,應用專(zhuān)家系統結構進(jìn)行智能控制,采用DCS分布式控制系統,監控各個(gè)工段的運行工作,并且詳細闡述了該系統實(shí)現煙葉的自動(dòng)分離、智能檢測定級、智能分流分揀的過(guò)程和系統間各個(gè)工段的工作原理。模擬實(shí)驗測試結果表明,本系統各個(gè)工段都運行流暢,煙葉分離效果明顯,分級結果的正確率也較高,可以實(shí)現對煙葉的有效分離、分級和分揀。

    Abstract:

    At present, the rapid development of science and technology and artificial intelligence provides effective methods and means for automatic separation of tobacco leaves and automatic detection and analysis of tobacco quality.?At present, the separation and classification of tobacco leaves are still carried out in the traditional manual way, which makes the classification results highly subjective and leads to a series of problems such as lack of scientific and objective classification. so this paper put forward the research of automatic separation of tobacco leaves and intelligent classification sorting system.The system in the design of industrial computer as the core, the use of Visual Basic programming language programming software, the application of expert system structure for intelligent control, DCS distributed control system, monitoring the operation of each section.The process of tobacco leaf automatic separation, intelligent detection and grading, intelligent sorting and the working principle of each section of the system were described in detail.The results of simulation experiment show that the system runs smoothly in each section, the separation effect is obvious, the accuracy of classification results is high, and the effective separation, classification and sorting of tobacco leaves can be realized.

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李婷,王興,衛玲芝,高菲,張晉塬,王雨竹.煙葉自動(dòng)分離及智能定級分揀系統的研究計算機測量與控制[J].,2022,30(6):157-162.

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歷史
  • 收稿日期:2021-11-16
  • 最后修改日期:2021-12-27
  • 錄用日期:2021-12-31
  • 在線(xiàn)發(fā)布日期: 2022-06-21
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