向阳, 于淞, 徐嫱, 程相林, 朱玉帆, 劳彩莲, 颜小飞, 程强. 太阳能供电的土壤剖面水分动态原位自动监测系统的研制[J]. 农业工程学报, 2021, 37(7): 150-157. DOI: 10.11975/j.issn.1002-6819.2021.07.018
    引用本文: 向阳, 于淞, 徐嫱, 程相林, 朱玉帆, 劳彩莲, 颜小飞, 程强. 太阳能供电的土壤剖面水分动态原位自动监测系统的研制[J]. 农业工程学报, 2021, 37(7): 150-157. DOI: 10.11975/j.issn.1002-6819.2021.07.018
    Xiang Yang, Yu Song, Xu Qiang, Cheng Xianglin, Zhu Yufan, Lao Cailian, Yan Xiaofei, Cheng Qiang. Development of a novel solar-powered system for in-situ automatic monitoring of soil water dynamics in a soil profile[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(7): 150-157. DOI: 10.11975/j.issn.1002-6819.2021.07.018
    Citation: Xiang Yang, Yu Song, Xu Qiang, Cheng Xianglin, Zhu Yufan, Lao Cailian, Yan Xiaofei, Cheng Qiang. Development of a novel solar-powered system for in-situ automatic monitoring of soil water dynamics in a soil profile[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(7): 150-157. DOI: 10.11975/j.issn.1002-6819.2021.07.018

    太阳能供电的土壤剖面水分动态原位自动监测系统的研制

    Development of a novel solar-powered system for in-situ automatic monitoring of soil water dynamics in a soil profile

    • 摘要: 目前,商业化的土壤水分传感器在野外观测土壤剖面含水率时仍然存在测量深度不可调节、多传感器探头之间的互换误差、野外长期监测供电困难、成本较高等问题。为此,该研究设计并研制了一种太阳能供电的可实现野外长期工作的介电管式土壤剖面水分原位自动监测系统。该系统组成包括:传感器模块、主控模块、太阳能供电模块和参数设置软件。测量时,先将PVC管垂直安装至待测土壤中,安装过程不扰动土壤结构,主控与存储模块控制土壤含水率传感器在PVC管中上下移动测量土壤含水率,并同步记录土壤深度。此外,该系统可以根据实际需求通过PC机参数设置软件进行灵活设定测量参数(传感器测量深度、测量深度间隔和测量周期)。针对该系统的性能与测量精度开展了相关测试与观测试验,功耗测试结果表明该系统待机功率为0.35 W,工作功率为1.4 W,太阳能电池板最大输出功率为5 W,太阳能电池板和锂电池配合供电的情况下能实现长时间续航;土壤含水率传感器在砂土和粉壤土中的标定试验表明:该系统测量结果与实际土壤体积含水率高度吻合,标定曲线决定系数R2均大于0.99;经过校正后,该系统探头深度定位的标准偏差在0.2 cm以内。在两种质地土壤的滴灌试验结果表明:该系统分别在6和15 mL/min两种滴水速率下均能准确获取土壤剖面含水率的动态变化过程,为观测作物生长状态和根区水分变化、制定合理的灌溉策略以及研究并检验土壤入渗水动态模型提供了可靠的技术支持和保障。

       

      Abstract: Commercial sensors of soil moisture normally cannot specifically observe the customized water content of soil profile, with emphasis on unadjustable measurement depth, interchange errors among multi-sensor probes, high cost, and difficulty in power supply for long-term monitoring in the field. In this study, a novel solar-powered system was developed to in-situ and long-term monitor the water content of soil profile in the field using dielectric tube sensors. Three parts included the power supply, measurement, and storage subsystem. The power supply subsystem was composed of the solar and lithium battery for long-term monitoring of the water content of soil profile in the field. A control panel was also utilized in a measurement subsystem to control the vertical movement of a dielectric tube sensor and simultaneously measure the soil water content and depths of the soil profile. The communicated system was installed with the upper computer software through Bluetooth. The operational parameters were set flexibly in the actual requirements, including the depths, spacing distance, and measuring periods. A storage subsystem was then used to record real-time measurements of the water content of the soil profile. A series of experiments were conducted to validate the performance of the developed system. The maximum output power of the solar panel was 5 W, greater than the working power (1.4 W) and the standby power of the system (0.35 W), which can make it possible for the system to achieve long-term endurance in the sunny outdoor. The solar-powered supply test showed that the novel system satisfied the high requirements of long-term running with the combination of solar and lithium batteries. The system lasted about 13 d without light, whereas worked sustainably under sufficient light. In addition, the voltage of the lithium battery changed by 3.2 V during the whole discharge, while the output voltage of the sensor only changed by 5 mV, indicating that the output voltage of the sensor was fully independent of the voltage of the lithium battery. A drip irrigation experiment was performed on two soil samples (sand and silt loam soil) with different drip irrigation rates, further to test the position accuracy of a system. High accuracy was achieved in the measurements of soil water content with a high consistent relationship (R2 >0.99) between actual volumetric water contents and converted one via the calibration curves of the sensors. The novel system accurately positioned the depth of the sensor probe in the soil profile with a positioning error of less than 0.2 cm. Furthermore, the infiltration experiments in two drip irrigation showed that the developed system accurately and completely characterized the dynamic of water content in soil profiles during infiltration with different drip irrigation rates. The finding can provide reliable technical support to in-situ monitoring the crop growth state and moisture change of root zone for reasonable irrigation strategy.

       

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