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  本文關(guān)鍵詞： 近紅外 在線檢測 哈密瓜 糖度　出處：《石河子大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：哈密瓜作為新疆的特色水果,深受人們的喜愛。近年來,哈密瓜每年的出口量逐年增加,但其產(chǎn)值卻未增長。哈密瓜在田間地頭不經(jīng)過任何檢測處理就直接進(jìn)入市場售賣,將會影響哈密瓜的品質(zhì)及售賣價格,不能做到按質(zhì)定價。本研究以新疆特色水果哈密瓜為研究對象,以哈密瓜糖度作為檢測指標(biāo),設(shè)計并搭建了基于可見近紅外光譜技術(shù)的哈密瓜糖度在線檢測系統(tǒng),該系統(tǒng)主要包含硬件部分和光譜采集軟件部分的設(shè)計。為驗證設(shè)計搭建的檢測系統(tǒng)的可行性和有效性,基于該平臺進(jìn)行一系列的試驗研究。同時運用不同的建模方法和不同的光譜預(yù)處理方法對哈密瓜樣品光譜及糖度進(jìn)行建模研究分析。本文主要完成的工作及得出的結(jié)論如下:(1)設(shè)計并搭建了哈密瓜糖度可見近紅外光譜在線檢測系統(tǒng),該系統(tǒng)主要包含硬件和光譜采集軟件兩部分的設(shè)計。硬件部分完成了輸送裝置、光照模塊、光譜采集裝置中相關(guān)儀器的選型及相關(guān)部件的設(shè)計;光譜采集軟件完成了光譜采集相關(guān)功能模塊的設(shè)計。(2)完成哈密瓜糖度可見近紅外光譜在線檢測系統(tǒng)的測試與集成,并進(jìn)行了在線試驗。利用該系統(tǒng)采集了哈密瓜三種不同速度下(0.1235m/s、0.15m/s、0.19675m/s)的在線光譜數(shù)據(jù),采用多元散射校正(MSC)、標(biāo)準(zhǔn)正態(tài)變量變換(SNV)、導(dǎo)數(shù)(SD)及其組合的方法對采集到的哈密瓜在線光譜進(jìn)行預(yù)處理,建立偏最小二乘法(PLS)模型分析不同預(yù)處理方法對其建模精度的影響,綜合對比三種速度下的偏最小二乘法(PLS)建模結(jié)果可得,選取的較優(yōu)預(yù)處理方法為SNV和SD結(jié)合的方法,選取的較優(yōu)在線光譜采集速度為0.1235m/s。(3)根據(jù)選取的較優(yōu)在線速度,建立了SMLR模型,盡量減少波段數(shù)量,為下一步快速檢測提供支持。結(jié)果表明,波段數(shù)在10到15時的限制條件下,波段數(shù)量為15時,所建模型效果相對較好,此時的相關(guān)系數(shù)rcv和交互驗證均方根誤差RMSECV分別為0.6187和0.741。模型所選擇的15個波段分別為437.76nm,476.33nm,536.11nm,580.47nm,593.97nm,619.04nm,638.32nm,659.54nm,667.25nm,673.03nm,703.89nm,752.10nm,819.60nm,865.88nm,925.66nm。(4)通過在線試驗驗證了設(shè)計搭建的哈密瓜糖度可見近紅外在線檢測系統(tǒng)具有一定的可行性。
[Abstract]:Hami melon, as the characteristic fruit of Xinjiang, is deeply loved by people. In recent years, the annual export volume of Hami melon has increased year by year. But its output value has not increased. Hami melon in the field without any test treatment directly into the market, will affect the quality and sale price of Hami melon. This study took Hami melon as the research object and the sugar content of Hami melon as the detection index. An on-line detection system for sugar content of Hami melon was designed and built based on visible near infrared spectroscopy. The system mainly includes the design of hardware and spectrum acquisition software. The feasibility and effectiveness of the detection system designed to verify the design. Based on this platform, a series of experiments were carried out. At the same time, different modeling methods and different spectral pretreatment methods were used to model and analyze the spectrum and sugar content of Hami melon sample. The conclusions are as follows:. (. 1) the on-line detection system of sugar content of Hami melon by visible near infrared spectroscopy was designed and built. The system mainly includes the design of hardware and spectrum acquisition software. The hardware part completes the selection of related instruments and the design of related parts in the transport device, illumination module, spectral acquisition device. Spectral acquisition software completed the design of spectral acquisition related function module. 2) completed the sugar content of Hami melon visible near infrared spectrum on-line detection system testing and integration. The on-line spectral data of 0.1235m / s 0.15m / s 0.19675m / s of Hami melon were collected by using the system. Multivariate scattering correction (MSCT), standard normal variable transform (SNV), derivative SDI) and their combination were used to preprocess the collected on-line spectrum of Hami melon. The partial least square (PLS) model is established to analyze the influence of different preprocessing methods on the modeling accuracy. The optimal pretreatment method is the combination of SNV and SD, and the optimal on-line spectral acquisition speed is 0.1235 m / s. The SMLR model is established to reduce the number of bands as much as possible and to provide support for the next rapid detection. The results show that the number of bands is 15:00 when the number of bands is limited from 10 to 15:00. The effect of the model is relatively good. The correlation coefficient rcv and the root-mean-square error (RMSECV) of cross-validation are 0.6187 and 0.741 respectively. The 15 bands selected by the model are 437.76 nm. 476.33nm,536.11nm,580.47nm,593.97nm,619.04nm,638.32nm,659.54nm. 667.25nm,673.03nm,703.89nm,752.10nm,819.60nm,865.88nm. 925.66 nm.f.) the feasibility of the system was verified by on-line test.
【學(xué)位授予單位】：石河子大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S652.1;TP274

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