| 引用本文: | 郝萍萍,韩金朝,丁 凡,等.土壤水分与负压估算模型研究与监测系统设计[J].灌溉排水学报,2025,44(7):46-53. |
| HAO Pingping,HAN Jinzhao,DING Fan,et al.土壤水分与负压估算模型研究与监测系统设计[J].灌溉排水学报,2025,44(7):46-53. |
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| 摘要: |
| 【目的】土壤含水率的实时监测对作物生长和田间管理至关重要。传统的土壤水分张力计通常需要人工读数和定期维护，限制了其在大规模农田中的应用。为实现土壤水分的实时在线监测，本文设计了一种土壤水分监测系统。【方法】通过土壤试验获取土壤水分和负压数据，对Van Genuchten（V-G）模型、支持向量回归模型（SVR模型）、多项式回归模型和贝叶斯回归模型共4种常用的土壤水分与负压建模方法进行对比，评估4个模型在土壤水分与负压关系的建模精度，并基于物联网三层架构完成系统软硬件模块设计。【结果】①V-G模型在拟合土壤水分与负压关系时表现最佳，拟合度R2值达0.98，能够准确捕捉土壤水分变化的非线性特征，适合用于土壤水分张力的预测；②基于V-G模型，本文设计的土壤水分张力计监测系统成功集成了AIR780E单片机、XGZP6895D数字气压传感器和4G通信模块，能够提供更高的传输速率和更稳定的连接，尤其在远程和复杂环境下，系统的稳定性明显优于常规无线通信协议，实现实时获取土壤水分数据并进行远程传输与在线监测。【结论】系统测试结果表明，土壤水分与负压监测系统具备稳定、可靠的实时监测能力，能够有效提高农业灌溉和水资源管理的效率。 |
| 关键词: 土壤含水率；张力计；物联网；Van Genuchten模型 |
| DOI：10.13522/j.cnki.ggps.2024420 |
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| Development of a real-time monitoring system for soil moisture and matric potential |
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HAO Pingping, HAN Jinzhao, DING Fan, SONG Lei,
LI Liuke, MA Ning, ZHANG Xiaobin, FENG Junjie
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1. Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453000, China;
2. Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China;
3. Digital Agriculture Rural Research Institute of Zibo, Zibo 255000, China; 4. China Institute of Water Resources and
Hydropower Research, Beijing 100081, China; 5. Yuncheng University, Yuncheng 044000, China
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| Abstract: |
| 【Objective】Real-time monitoring of soil water content and matric potential is crucial for optimizing agricultural management. Traditional tensiometers require manual readings and frequent maintenance, which limits their scalability. This paper presents a novel system we designed for real-time and online monitoring of soil water content and matric potential.【Method】Soil water content and soil matric potential were simultaneously measured in a field. Four methods were used to calculate their relationship: the Van Genuchten (V-G) model, support vector regression (SVR) model, polynomial regression model, and bayesian regression model. The accuracy of each model was evaluated against experimental data. The software and hardware of the monitoring system were designed based on a three-layer Internet of Things (IoT) architecture.【Result】① The V-G model was most accurate in describing the relationship between soil water content and matric potential, with a R2 of 0.98. It accurately captures the nonlinear characteristics of soil retention curves and is suitable for predicting soil moisture dynamics in the field. ② Based on the V-G model, the soil water content monitoring system was integrated with the AIR780E microcontroller, XGZP6895D digital barometric pressure sensor and a 4G communication module, to provide fast transmission rate and more stable connection. This is particularly useful in remote areas with complex environments. The new system is more stable than the conventional wireless communication protocols, enabling real-time data acquisition, remote transmission and online monitoring.【Conclusion】Test results indicate that the new system is stable and reliable for real-time, online soil water content monitoring. It holds promise for improving irrigation efficiency and agricultural water resource management. |
| Key words: soil water content; tensiometer; Internet of Things (IoT); Van Genuchten model |
