基于电容法和PLS建模的燕麦含水率快速检测
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摘要
[目的]燕麦具有极高的营养保健价值,而含水率是燕麦安全存储、运输的重要指标,故研究一种燕麦含水率快速检测方法具有重要意义。[方法]本文利用LCR仪测试了室温(13℃)下,不同含水率(11%~26%)燕麦在不同频率(500kHz~3.5 MHz)下电容的变化,并分析了变化原因。利用偏最小二乘法(PLS)建立了所测频段内电容变化曲线和燕麦含水率的回归模型。[结果]燕麦含水率检测模型的校正集相关系数(RC),预测集相关系数(RP),校正均方根误差(RMSEC)和预测均方根误差(RMSEP)分别为0.9843、0.9787、1.30%、2.09%。[结论]基于PLS建模的电容法检测燕麦含水率具有较高的精度,这为燕麦水分快速检测仪的研发打下了基础。
[Objective]Oat grains possess high nutritional and healthy value,and the moisture content of grains is an important indicator for safe storage and transportation.Therefore,to develop a rapid moisture detection method is significantly important to oat production.[Methods]The capacitance variation of oat grains with different water content(11%~26%)at different frequencies(500 kHz~3.5 MHz)was determined by LCR meter at environmental temperature of 13 C.The inducement of the difference was analyzed.A regression model of the capacitance variation curve and oat moisture content in the measured frequency bands was established using partial least squares(PLS).[Results]The corrected set of correlation coefficient(RC),predicted set of correlation coefficient(RP),root mean square error correction(RMSEC)and root mean square error prediction(RMSEP)of the model were determined as 0.984 3,0.978 7,1.30%,and 2.09%,respectively.[Conclusion]The developed model for rapid moisture detection of oat grains based on capacitance and PLS modeling displayed great accuracy,which provide support for the research and development of oat water fast detector.
[Objective]Oat grains possess high nutritional and healthy value,and the moisture content of grains is an important indicator for safe storage and transportation.Therefore,to develop a rapid moisture detection method is significantly important to oat production.[Methods]The capacitance variation of oat grains with different water content(11%~26%)at different frequencies(500 kHz~3.5 MHz)was determined by LCR meter at environmental temperature of 13 C.The inducement of the difference was analyzed.A regression model of the capacitance variation curve and oat moisture content in the measured frequency bands was established using partial least squares(PLS).[Results]The corrected set of correlation coefficient(RC),predicted set of correlation coefficient(RP),root mean square error correction(RMSEC)and root mean square error prediction(RMSEP)of the model were determined as 0.984 3,0.978 7,1.30%,and 2.09%,respectively.[Conclusion]The developed model for rapid moisture detection of oat grains based on capacitance and PLS modeling displayed great accuracy,which provide support for the research and development of oat water fast detector.
引文
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[2]谢佳颖,韩潆仪,任虹.燕麦生物碱研究进展[J].食品安全质量检测学报,2016,7(11):4536-4541.
[3]刘龙龙,张丽君,马名川,等.山西省燕麦产业现状及发展趋势[J].山西农业大学学报(自然科学版),2016,36(12):905-907,912.
[4]李博识,赵晨,赵晶.粮食水分检测技术的研究[J].农业科技与信息,2017(2):27-28.
[5]姜重然,李丽,白金泉,等.粮食水分快速检测智能节点的研究与设计——基于现场总线[J].农机化研究,2014,36(4):191-193,197.
[6]甘富航,刘朝鑫,张维华,等.基于摩擦阻力法的粮食水分检测仪研制[J].农机化研究,2018,40(1):91-95.
[7]刘哲.粮食水分在线检测仪的研究[D].长春:吉林农业大学,2013.
[8]胡平欣.电容式粮食水分在线检测系统的研究[D].沈阳:东北大学,2012.
[9]杨彬,车刚,万霖,等.谷物在线水分传感器的研究[J].农机化研究,2017,39(4):256-262.
[10]郭文川,赵志翔,杨沉陈.基于介电特性的小杂粮含水率检测仪设计与试验[J].农业机械学报,2013,44(5):188-193.
[11]邱禹,李长友,徐凤英,等.基于平板结构的电容式粮食水分检测仪的设计[J].农机化研究,2013,35(1):78-82.
[12]安莉.水分子极化及介电特性的研究[D].天津:河北工业大学,2005.
[13]郭文川,王婧,刘驰.基于介电特性的薏米含水率检测方法[J].农业机械学报,2012,43(3):113-117.
[14]胡佳,李臻,潘笑俊.弥散场电容粮食水分传感器及其在储粮中的应用[J].中国粮油学报,2017,32(11):108-111.