灌溉排水学报2025，Vol.44Issue(7)：46-53,8.DOI:10.13522/j.cnki.ggps.2024420
土壤水分与负压估算模型研究与监测系统设计
Development of a real-time monitoring system for soil moisture and matric potential
摘要
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.关键词
土壤含水率/张力计/物联网/van Genuchten模型Key words
soil water content/tensiometer/Internet of Things(IoT)/van Genuchten model分类
农业科技引用本文复制引用
郝萍萍,韩金朝,丁凡,宋蕾,李留珂,马宁,张晓斌,冯俊杰..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):46-53,8.基金项目
智慧灌溉物联网设备融合技术研究项目(IFI2023-27) （IFI2023-27）
山西水利科技项目(2024GM40) （2024GM40）
中国农业科学院基本科研业务费专项所级统筹(IFI2024-26) （IFI2024-26）
