【摘要】：根據(jù)國(guó)家規(guī)定的羊肉衛(wèi)生標(biāo)準(zhǔn),含水率是評(píng)價(jià)羊肉品質(zhì)的重要參考指標(biāo)。本研究以內(nèi)蒙古錫林郭勒羊肉為研究對(duì)象,利用高光譜成像系統(tǒng)分別在400nm-1000mn波段和1000nm-2500mn波段對(duì)108個(gè)羊肉樣本進(jìn)行光譜信息采集,并采用烘干法測(cè)定羊肉含水率。通過采集樣品高光譜、光譜預(yù)處理、提取敏感波段,篩選含水率檢測(cè)光譜特征參數(shù),構(gòu)建基于高光譜的含水率預(yù)測(cè)模型,并對(duì)模型進(jìn)行了分析評(píng)價(jià)。主要研究?jī)?nèi)容和結(jié)果如下:1.設(shè)計(jì)光源照射角度調(diào)節(jié)裝置,使用Solidworks對(duì)裝置受力情況進(jìn)行校核,并對(duì)運(yùn)動(dòng)軌跡進(jìn)行三維仿真,驗(yàn)證該裝置能夠調(diào)節(jié)光譜儀光源照射角度。2.采集樣本高光譜信息,通過多元散射校正等多種方法對(duì)原始光譜進(jìn)行預(yù)處理,依據(jù)PLSR法模型優(yōu)選400nm-1 OOOnm波段和1000nm-2500nm波段光譜預(yù)處理算法。結(jié)果表明400nm-1000nm波段和1000nm-2500nm波段的最佳預(yù)處理算法分別為標(biāo)準(zhǔn)正態(tài)結(jié)合去趨勢(shì)化法和去趨勢(shì)算法。3.采用PLS回歸權(quán)重法分析光譜預(yù)處理后的數(shù)據(jù),發(fā)現(xiàn)400nm-1000nm波段和1000nm-2500nm 波段敏感波長(zhǎng)分別為 405.6nm、516.5nm、563.7nm、615.9mn、742.2nm、864.4nm、964.4nm 和 11OOmn、1346nm、1535nm、1635nm、1786nm、2111nm。4.分別采用偏最小二乘法和逐步多元線性回歸法建立全波段和特征波段下的羊肉含水率預(yù)測(cè)模型。結(jié)果表明:特征波段下逐步多元線性回歸模型預(yù)測(cè)效果優(yōu)于偏最小二乘法模型,預(yù)測(cè)集模型相關(guān)系數(shù)Rp分別為0.8184和0.7984,標(biāo)準(zhǔn)偏差SEP分別為0.0581和0.0603;驗(yàn)證集模型相關(guān)系數(shù)Rc分別為0.8301和0.8231,標(biāo)準(zhǔn)偏差 SEC 分別為 0.0549 和 0.0587。本課題基于高光譜技術(shù)對(duì)羊肉含水率測(cè)定方法進(jìn)行研究,避免了傳統(tǒng)檢測(cè)方法破壞樣本的缺點(diǎn),為日后便攜式羊肉含水率檢測(cè)儀的設(shè)計(jì)和開發(fā)提供了理論依據(jù)。
[Abstract]:According to the hygienic standard of mutton, moisture content is an important reference index to evaluate mutton quality. In this study, 108 mutton samples were collected in 400nm-1000mn band and 1000nm-2500mn band by hyperspectral imaging system, and moisture content of mutton was determined by drying method. By collecting sample hyperspectral, spectral pretreatment, extracting sensitive bands, screening moisture content to detect spectral characteristic parameters, a prediction model of moisture content based on hyperspectral was constructed, and the model was analyzed and evaluated. The main contents and results are as follows: 1. The light source angle adjusting device was designed, and the force condition of the device was checked by Solidworks. The 3D simulation of the motion track was carried out to verify that the device could adjust the illumination angle of the spectrometer light source. The sample hyperspectral information was collected and the original spectrum was pretreated by multiple scattering correction. The 400nm-1 OOOnm and 1000nm-2500nm spectral pretreatment algorithms were selected according to the PLSR model. The results show that the optimal preprocessing algorithms for 400nm-1000nm band and 1000nm-2500nm band are standard normal combination de-trend method and de-trend algorithm .3respectively. PLS regression weight method was used to analyze the data of spectral pretreatment. It was found that the sensitive wavelengths of 400nm-1000nm band and 1000nm-2500nm band were 405.6 nm ~ 516.5nm ~ (-1) ~ 563.7nm ~ (-1) ~ (615.9) mm ~ (-1) ~ (?) ~ 864.4nm ~ (-1) ~ (964.4) nm ~ (-1) ~ 1346nm ~ 1535nm ~ (1635nm) ~ (1635nm) ~ (1786) nmm ~ (-1) ~ (-1) nm ~ (-1) ~ (-1) nm. The partial least square method and stepwise multivariate linear regression method were used to establish the prediction models of mutton moisture content in the whole band and the characteristic band, respectively. The results show that the prediction effect of stepwise multivariate linear regression model is better than that of partial least square model. The correlation coefficient (Rp) of predictive set model is 0.8184 and 0.7984, the standard deviation SEP is 0.0581 and 0.0603, the correlation coefficient of verification set model is 0.8301 and 0.8231, and the standard deviation SEC is 0.0549 and 0.0587 respectively. Based on the hyperspectral technology, the method of moisture content measurement of mutton is studied in this paper, which avoids the shortcoming of the traditional method to destroy the sample, and provides a theoretical basis for the design and development of the portable mutton moisture content detector in the future.
【學(xué)位授予單位】：內(nèi)蒙古農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：O657.3;TS251.53

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