土壤有机质检测自动化前处理平台设计与试验
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国家重点研发计划项目(2017YFB1302301)、安徽省科技重大专项(18030701201)和安徽省自然科学基金青年基金项目(1908085QE202)


Design and Experiment of Automatic Pretreatment Platform for Soil Organic Matter Detection
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    摘要:

    针对传统人工土壤检测方法存在检测过程复杂、处理周期长、工作效率低等问题,提出了土壤有机质检测自动化前处理平台整体设计框架,基于此构建了土壤有机质检测自动化前处理平台,该平台以均一、稳定的机器操作完成土壤有机质含量的精确检测。平台主要由搬运机械手、温控消解装置、无损转移装置、电气控制系统等构成,同时通过构建组态软件调度系统实现各装置的协同工作,以流水线式作业方式完成土壤有机质自动化前处理。选取标准土壤样品对平台的稳定性和系统适用性进行试验,结果显示,该平台重复测试标准差不大于0.56g/kg,相对标准偏差不大于2.30%,相对误差不大于2.21%,检测结果符合农业农村部土壤检测指标要求。

    Abstract:

    Aiming at the problems of complex process, long processing cycle and low working efficiency existing in traditional artificial soil detection, a novel design method of pretreatment platform was proposed for detecting organic matter, which can accurately detect soil organic matter content by uniform and stable machine operation. Based on this method, a set of automatic pretreatment platform for soil organic matter detection was constructed. The platform was mainly composed of handling manipulator, temperature control digestion unit, nondestructive transfer unit and electrical control system. At the same time, the configuration software scheduling system was built to realize the collaborative work of each unit, and the automatic pretreatment of soil organic matter was achieved with the way of assembly line operation. Standard soil samples were selected to test the repeatability and suitability of the platform. The experimental results showed that the standard deviation of repeated tests was no more than 0.56g/kg, the relative standard deviation was no more than 2.30%, and the relative difference was no more than 2.21%. All the test results were within the error range required by the standard value, which met the index requirements of the Ministry of Agriculture and Rural Affairs of China for soil testing indicators. The automatic pretreatment platform proposed had high stability, which greatly improved the detection efficiency of soil organic matter detection without reducing the detection accuracy. The platform could replace the cumbersome process in traditional artificial soil detection, and it had a wide range of systemic applicability.

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黄伟,宿宁,王大朋,张俊卿,胡晓波,王儒敬.土壤有机质检测自动化前处理平台设计与试验[J].农业机械学报,2021,52(4):276-284. HUANG Wei, SU Ning, WANG Dapeng, ZHANG Junqing, HU Xiaobo, WANG Rujing. Design and Experiment of Automatic Pretreatment Platform for Soil Organic Matter Detection[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(4):276-284.

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  • 收稿日期:2020-11-21
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  • 在线发布日期: 2021-04-10
  • 出版日期: 2021-04-10