安徽农学通报 >
2025 , Vol. 31 >Issue 15: 119 - 122
DOI: https://doi.org/10.16377/j.cnki.issn1007-7731.2025.15.028
基于5G-A无源物联网的果园监测系统研究
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李 力(1992—),男,河南南阳人,硕士,讲师,从事无线通信和作物生长模拟研究。 |
Copy editor: 杨欢
收稿日期: 2024-11-22
网络出版日期: 2025-08-14
基金资助
塔里木大学校长基金(TDZKSS202232)
兵团指导性科技计划项目“基于校正WOFOST模型的梨树生长模拟与水分利用研究”(2022ZD155)
Research on orchard monitoring system based on 5G-A Passive Internet of Things
基于增强5G(5G-A)的无源物联网具有无源供电、高连接密度、广覆盖和高效计算能力等优点,适合高价值果树和大规模果园的联网监测。本文论证了5G-A无源物联实现的基本原理和关键技术,设计出一种基于5G-A无源物联网的果园监测系统,并应用于果树生长状态监测、生长模拟与预测。系统设计方面,基于5G-A等技术,在无源传感标签阵列中采集并发送果园数据,通过海量机器类通信(mMTC)网络切片传输数据,将边缘计算节点部署在5G-A无线接入网侧对采集的数据进行实时分析计算并作出反馈,将校正的WOFOST果树生长模型算法导入果树数字孪生系统,用于构建可视化和动态化的果树生长模拟及预测。应用方面,可实时采集果树生长的土壤、气候等数据,统计果树数量、监测每棵果树的生长状态;将果树生长和环境的耦合效应动态可视化,为其各生长阶段的精准预测和科学规划提供有效方法。研究成果为5G-A无源物联网果园监测系统的部署及应用提供理论基础和方案依据。
李力 , 樊永莲 , 贾孟招 , 张翱 , 马良 . 基于5G-A无源物联网的果园监测系统研究[J]. 安徽农学通报, 2025 , 31(15) : 119 -122 . DOI: 10.16377/j.cnki.issn1007-7731.2025.15.028
Passive IoT based on enhanced 5G (5G-A) has advantages such as no power restrictions, large connections, wide coverage, and strong computing power, making it suitable for networked monitoring of high value fruit trees and large scale orchards. In this paper, the basic principles and key technologies of 5G-A passive IoT implementation were demonstrated, an orchard monitoring system was designed based on 5G-A passive IoT, and applied it to fruit tree growth status monitoring, growth simulation, and prediction. In terms of system design, using technologies such as 5G-A, data from orchards is collected and transmitted via passive sensor tag arrays. This data is then transmitted through massive machine-type communication (mMTC) network slices. Edge computing nodes are deployed on the 5G-A wireless access network side to perform real-time analysis and computation of the collected data and provide feedback. The corrected WOFOST fruit tree growth model algorithm is then integrated into the fruit tree digital twin system to enable the construction of visualized and dynamic fruit tree growth simulations and predictions. In terms of application, it can collect real-time soil and climate data of fruit tree growth, and count the number of fruit trees and monitor the growth status of each fruit tree; dynamically visualizing the coupling effect between fruit tree growth and environment provides an effective method for precise prediction and scientific planning of its various growth stages. The research results provides theoretical basis and solution basis for the deployment and application of 5G-A passive IoT orchard monitoring system.
Key words: 5G-A; Passive IoT; orchard; monitoring system; fruit tree growth model
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