刘亚超,李永玉,彭彦昆,韩东海,丁继刚,王绮.便携式大米多品质参数无损检测仪设计与试验[J].农业机械学报,2019,50(8):351-357. LIU Yachao,LI Yongyu,PENG Yankun,HAN Donghai,DING Jigang,WANG Qi.Portable Rapid Nondestructive Detecting Instrument for Multi quality Parameters of Rice[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(8):351-357.
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便携式大米多品质参数无损检测仪设计与试验 [下载全文] |
Portable Rapid Nondestructive Detecting Instrument for Multi quality Parameters of Rice [Download Pdf][in English] |
投稿时间:2019-02-21 |
DOI:10.6041/j.issn.1000-1298.2019.08.038 |
中文关键词: 大米 多品质参数 便携式 无损检测 漫透射光补偿 |
基金项目:国家重点研发计划项目(2016YFD0101205) |
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中文摘要:基于近红外漫透射光补偿光谱分析技术,设计了便携式大米多品质参数无损检测仪,检测仪包括光谱采集单元、光源单元、控制与显示单元、供电单元、专用参考校正盒等,光谱采集单元通过光补偿杯和聚焦准直透镜有效提高了采集光谱的信噪比,整个装置尺寸为207mm×90mm×148mm,携带方便。选取52个籼米样品,基于便携式大米多品质参数无损检测仪建立了大米含水率、直链淀粉质量分数和蛋白质质量分数的偏最小二乘预测模型,含水率、直链淀粉质量分数和蛋白质质量分数的校正集相关系数分别为0.9803、0.9770、0.9323,校正集均方根误差分别为0.2791%、0.7274%、0.2045%,验证集相关系数分别为0.9793、0.9571、0.9249,验证集均方根误差分别为0.3009%、1.1067%、0.2127%。基于MFC软件开发工具,采用C/C++语言编写了实时检测及控制软件,实现了便携式大米多品质参数检测仪的一键式操作。试验验证了便携式大米品质无损检测仪的检测精度和稳定性,结果表明,利用该装置预测大米含水率、直链淀粉质量分数和蛋白质质量分数的最大变异系数分别为0.024、0079、〖JP2〗0034,大米样品的含水率、直链淀粉质量分数和蛋白质质量分数的预测值和标准理化值的相关系数分别为0.9727、0.9409、0.9015,预测均方根误差为0.3632%、1.3181%、0.2430%。这表明自行设计的检测仪可以实现大米含水率、直链淀粉和蛋白质质量分数的实时无损检测。 |
LIU Yachao LI Yongyu PENG Yankun HAN Donghai DING Jigang WANG Qi |
China Agricultural University,China Agricultural University,China Agricultural University,China Agricultural University,China Agricultural University and China Agricultural University |
Key Words:rice multi quality parameters portable nondestructive detecting diffuse transmission compensation |
Abstract:Based on near infrared diffuse transmission light compensation spectrum analysis technology, a portable rice quality parameters of the instrument for nondestructive testing was developed, including spectroscopy acquisition unit, light source unit,information processing and display unit,power supply unit, and dedicated reference correction box, etc. Spectral acquisition unit light compensation and collimating lens to the focal effectively improved the signal to noise ratio of the spectrum, the entire unit size was 207mm×90mm×148mm, which was easy to carry. Fifty two indica rice samples were selected and a partial least squares prediction model of rice amylose and protein content was established based on the portable multi quality nondestructive testing instrument. The calibration set correlation coefficients of water content, amylose content and protein content were 0.9803, 0.9770 and 0.9323, respectively. The calibration set root mean square error (RMSEc) was 0.2791%, 0.7274% and 0.2045%, respectively. The correlation coefficients of the validation set were 0.9793, 0.9571 and 0.9249, respectively. The validation set root mean square error (RMSEv) was 0.3009%, 1.1067% and 0.2127%, respectively. Based on the MFC software development tool, C/C++ language was used to write the real time detection and control software, which realized the one key operation of the portable rice multi quality detector and finally verified the detection accuracy and stability of the portable rice quality nondestructive tester. The maximum variation coefficient of water content, amylose content and protein content was 0.024, 0.079 and 0.034, respectively. The correlation coefficients of predicted and standard physicochemical values of water content, amylose content and protein content in rice samples were 0.9727, 0.9409 and 0.9015, respectively. and the predicted root mean square error was 0.3632%, 1.3181% and 0.2430%, respectively. |
Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.
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