用于ISE硝态氮检测的土壤原位前处理装置设计与试验

发布时间：2018-03-25 07:08

本文选题：土壤　切入点：养分　出处：《农业工程学报》2017年S1期

【摘要】：前处理自动化程度是影响土壤养分检测效率和可行性的关键环节之一。该文设计开发了1种适用于电极法硝态氮原位测定的前处理装置,融合土壤水分校准算法,装置具备水分测定、称重、注液浸提、高速旋转离心等功能,性能测定结果表明:装置两自由度机械平台纵向控制精度达到0.1 cm,旋转定位控制精度为1?,注液精度可达0.2 m L,位移量及注液量具有较高重复性;较常规手动操作,利用该装置进行土样前处理耗时明显降低,自动化及时效性明显提高,人工劳动强度下降;利用装置前处理土样,电极法测定结果与标准光学检测结果接近,两者回归方程调整决定系数为0.87,平均绝对偏差为20.97 mg/kg,均方根误差为22.34 mg/kg,较悬液直测精度明显提高。装置浸提环节仍需进一步优化,研究结果可为集成式土壤养分原位检测装置研发提供参考。
[Abstract]:The degree of automation of pretreatment is one of the key links affecting the efficiency and feasibility of soil nutrient detection. In this paper, a preprocessing device suitable for in-situ determination of nitrate nitrogen by electrode method is designed and developed, which integrates the calibration algorithm of soil moisture. The device has the functions of moisture measurement, weighing, liquid injection extraction, high speed rotary centrifugation and so on. The test results show that the longitudinal control precision of the two-degree-of-freedom mechanical platform is 0.1 cm, and the precision of rotating positioning control is 1? The precision of liquid injection can reach 0.2 mL, the displacement and injection quantity have higher repeatability, compared with the conventional manual operation, the time consuming of soil sample treatment by this device is obviously reduced, the automation and timeliness are improved obviously, and the labor intensity of artificial work is decreased. The result of electrode method is close to that of standard optical method. The governing coefficient of the two regression equations is 0.87, the average absolute deviation is 20.97 mg / kg, and the root mean square error is 22.34 mg / kg. The results can provide a reference for the research and development of integrated soil nutrient in situ detection device.
【作者单位】：中国农业大学现代精细农业系统集成研究教育部重点实验室;中国农业大学农业部信息获取技术重点实验室;
【基金】：科技部“十三五”国家重点研发计划支持课题(2016YFD0800907-2) 国家自然科学基金项目(61134011&31271619)
【分类号】：S158

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