椰糠基质有效氮近红外检测仪设计与试验
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兵团科技攻关项目(2019DB001)和广东省乡村振兴战略专项(粤财农[2018]143)


Design and Test of Near Infrared Detecting Instrument for Available Nitrogen in Coco-peat Substrate
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    摘要:

    为了实现椰糠基质有效氮含量的快速实时检测,基于漫反射光谱设计了椰糠基质有效氮近红外检测仪。该检测仪的硬件系统主要由前处理装置、气力输送装置、重力式沉降样品室、近红外光谱检测装置、样品回收装置和空气压缩机等组成。制备了不同有效氮含量的椰糠基质样本135个,采用研制的检测仪获取了样本原始光谱数据,并建立了椰糠基质有效氮含量的最优偏最小二乘回归预测模型,其校正集相关系数和验证集相关系数分别为0.973和0.965,校正集均方根误差和验证集均方根误差分别为14.025mg/(100g)和15.757mg/(100g),残差预测偏差为3.72。基于MFC开发工具,采用C/C++语言开发了检测仪硬件控制及实时检测分析软件界面,将建立的最优有效氮光谱预测模型移植到软件程序中,实现了椰糠基质有效氮近红外检测仪功能硬件控制及有效氮检测的一键式操作。试验验证结果表明,所研制仪器预测值与国标测量值相关系数为0.883,测试集均方根误差为18.605mg/(100g)。该检测仪实现了椰糠基质有效氮含量的快速实时检测,并且预测性能较好,可以满足快速评价椰糠基质养分的实际需求。

    Abstract:

    In order to realize rapid and real-time detection of available nitrogen in coco-peat substrate, a detecting instrument based on near infrared (NIR) diffuse reflectance spectroscopy was designed. The hardware system of this instrument mainly consisted of pretreatment device, pneumatic conveyor, gravity settling sample chamber, near infrared spectrum detection device, sample recovery device and air compressor. Totally 135 samples of coco-peat substrate with different available nitrogen contents were prepared. Original spectral data of these samples were obtained by the hardware system of the developed instrument. An optimal partial least squares regression model for predicting available nitrogen content of coco-peat substrate was established. The corresponding correlation coefficients of correction set and validation set were 0.973 and 0.965, respectively;the root mean square errors of correction set and validation set were 14.025mg/(100g) and 15.757mg/(100g), respectively;and the residual prediction deviation was 3.72. Based on the MFC development tool, the software interface of hardware control and realtime detection and analysis of the instrument was developed in C/C++ language. The optimal coco-peat substrate available nitrogen prediction model established was built into the software, and the functional hardware control and available nitrogen NIR spectroscopy detection was realized by one-button operation. The test results showed that the correlation coefficient between the predicted value of the developed instrument and the measured value of national standard was 0.883, and the root mean square error was 18.605mg/(100g). The instrument can realize the rapid and realtime detection of available nitrogen in coco-peat substrate, and the prediction performance was good, which can meet the actual needs of rapid evaluation of coco-peat substrate fertilizer.

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鲁兵,王旭峰,何珂,胡灿,高薪,汤修映.椰糠基质有效氮近红外检测仪设计与试验[J].农业机械学报,2022,53(5):316-324. LU Bing, WANG Xufeng, HE Ke, HU Can, GAO Xin, TANG Xiuying. Design and Test of Near Infrared Detecting Instrument for Available Nitrogen in Coco-peat Substrate[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(5):316-324.

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  • 收稿日期:2021-06-21
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  • 在线发布日期: 2022-05-10
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