本文選題：打孔水松紙 + 透氣度��； 參考：《昆明理工大學(xué)》2017年碩士論文

【摘要】：打孔水松紙的使用是煙草企業(yè)降低消費者對焦油的攝入量使用的最為簡單有效的降焦技術(shù)之一。由于不同的香煙產(chǎn)品對打孔水松紙的透氣度的要求不一樣,因此對水松紙透氣度的檢測技術(shù)的研究成為了煙草企業(yè)競相攻克的難點。國內(nèi)煙草企業(yè)目前對水松紙透氣度的檢測仍然基本依賴硬件儀器,但專家學(xué)者透氣度檢測的研究顯示,水松紙的透氣度與紙張的許多基本特性有關(guān),如打孔數(shù)量的大小、孔面積大小、紙張材料等,這為打孔水松紙透氣度的檢測建立軟測量模型提供了基礎(chǔ)。本文根據(jù)已有的基于圖像處理技術(shù)進(jìn)行透氣度檢測的儀器,結(jié)合打孔水松紙的圖像信息與透氣度的關(guān)系,提取出影響打孔水松紙透氣度的兩個主要因素,孔面積和紙張圖像灰度值。本文提出了一種基于置信規(guī)則庫(Belief Rule Base,BRB)的水松紙透氣度檢測的軟測量方法。本文的主要工作如此下:(1)利用圖像處理技術(shù)獲取水松紙的圖像信息,提取影響水松紙透氣度的特征變量,建立基于BRB的透氣度檢測模型。(2)針對置信規(guī)則庫依賴專家知識,參數(shù)設(shè)置不準(zhǔn)確會導(dǎo)致的模型不準(zhǔn)確的問題,將差分進(jìn)化算法引入對模型部分參數(shù)進(jìn)行優(yōu)化。為了減少規(guī)則庫對專家的依賴,將規(guī)則庫前提屬性和輸出的參考值作為參數(shù)加入了待優(yōu)化參數(shù)中。(3)為提高算法性能,對差分進(jìn)化算法加入單純形局部搜索,且引入Meta-Lamarckian學(xué)習(xí)策略隨進(jìn)化代數(shù)的疊加調(diào)整變異策略,以提高算法的性能。實驗證明了所提算法的取得了較好的精度。(4)提出基于協(xié)進(jìn)化的差分進(jìn)化算法訓(xùn)練BRB的結(jié)構(gòu)參數(shù),并加入了一種改進(jìn)的變異策略來提高算法效率。通過實驗仿真和算法比對,驗證了BRB水松紙透氣度檢測模型的檢測精度。實驗表明,本論文提出的基于BRB的水松紙透氣度檢測模型精度較高,已達(dá)到工業(yè)要求。
[Abstract]:The use of perforated pine paper is one of the most simple and effective techniques to reduce the consumption of tar in tobacco enterprises.Because different cigarette products have different requirements for the air permeability of perforated pine paper, so the research on the testing technology of the air permeability of pine paper has become a difficult point for tobacco enterprises to conquer.At present, the domestic tobacco enterprises still rely on hardware instruments for the air permeability detection of water pine paper. However, the research of the air permeability test by experts and scholars shows that the air permeability of the paper is related to many basic characteristics of the paper, such as the size of the perforation number.The size of hole area, paper material and so on, which provides the basis for the establishment of soft sensing model for the air permeability of perforated pine paper.In this paper, according to the existing instruments for air permeability detection based on image processing technology and the relationship between the image information of perforated pine paper and the air permeability, two main factors affecting the air permeability of perforated water pine paper are extracted.Hole area and paper image gray value.In this paper, a soft sensing method for air permeability detection of water pine paper based on belief Rule base (BRBB) is presented.The main work of this paper is as follows: (1) using image processing technology to obtain the image information of water pine paper, to extract the characteristic variables that affect the air permeability of water pine paper, and to establish a model of air permeability detection based on BRB.Because of the inaccurate setting of the model, the differential evolution algorithm is introduced to optimize some parameters of the model.In order to reduce the dependence of the rule base on experts, the premise attribute and the output reference value of the rule base are added as parameters in the parameters to be optimized. In order to improve the performance of the algorithm, simplex local search is added to the differential evolution algorithm.The Meta-Lamarckian learning strategy is introduced to adjust the mutation strategy with the superposition of evolutionary algebra to improve the performance of the algorithm.Experimental results show that the proposed algorithm achieves good accuracy.) A coevolutionary differential evolutionary algorithm is proposed to train the structural parameters of BRB and an improved mutation strategy is added to improve the efficiency of the algorithm.The accuracy of the model for air permeability detection of BRB water pine paper is verified by experimental simulation and algorithm comparison.The experimental results show that the model proposed in this paper based on BRB has high accuracy and meets the requirements of industry.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張笑迪;錢斌;胡蓉;;基于PSO-LSSVM的水松紙透氣度軟測量[J];計算機與應(yīng)用化學(xué);2016年02期

2 王旭明;郭業(yè)才;于小兵;;基于組合差分進(jìn)化算法的PID參數(shù)整定優(yōu)化[J];組合機床與自動化加工技術(shù);2015年11期

3 汪慎文;丁立新;張文生;郭肇祿;謝承旺;;差分進(jìn)化算法研究進(jìn)展[J];武漢大學(xué)學(xué)報(理學(xué)版);2014年04期

4 蘇群;楊隆浩;傅仰耿;吳英杰;鞏曉婷;;基于變速粒子群優(yōu)化的置信規(guī)則庫參數(shù)訓(xùn)練方法[J];計算機應(yīng)用;2014年08期

5 陳晨;周勇;;一種基于置信規(guī)則的模糊推理算法[J];電子科技;2013年04期

6 張文專;龍文;焦建軍;;基于差分進(jìn)化算法的混沌時間序列預(yù)測模型參數(shù)組合優(yōu)化[J];物理學(xué)報;2012年22期

7 湯偉;單文娟;王孟效;;殘堿和黑液波美度的在線軟測量方法及實現(xiàn)[J];中國造紙;2011年06期

8 盧妙娜;王潤;;人工智能綜述[J];電腦學(xué)習(xí);2010年02期

9 俞金壽;;軟測量技術(shù)及其應(yīng)用[J];自動化儀表;2008年01期

10 劉波;王凌;金以慧;;差分進(jìn)化算法研究進(jìn)展[J];控制與決策;2007年07期

相關(guān)碩士學(xué)位論文 前4條

1 張笑迪;基于最小二乘支持向量機的水松紙透氣度檢測研究[D];昆明理工大學(xué);2016年

2 張桂蓮;基于最小二乘回歸的水松紙透氣度軟測量方法研究[D];昆明理工大學(xué);2016年

3 杜浦澤;基于差分進(jìn)化算法和量子進(jìn)化算法的三類優(yōu)化調(diào)度問題求解[D];昆明理工大學(xué);2013年

4 郭麗;水松紙透氣度在線檢測系統(tǒng)研究[D];昆明理工大學(xué);2002年

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