摘要
小麦作为主要的农业作物,生产向智能化发展却受到限制,其主要原因在于农业生产者无法详细、准确、及时地了解小麦生长状态,根据有关信息作出相应的分析、反馈和决策。针对上述问题,利用物联网技术和数字孪生技术,设计了监测生长状态的小麦数字孪生系统,实现了小麦生长状态的实时监测。通过对小麦及其生长环境各参数详细分析,提出了传感器数据采集方案,实现了信息的自动采集。模型构建时,利用3dsMax软件建立了小麦虚拟网格模型并进行了纹理渲染,利用DSSAT模型的CERES-Wheat模块构建了小麦虚拟行为模型,利用Unity3D软件搭建了可视化场景。叶片面积指数(LAI)、地面生物量(AGB)以及开花期和成熟期的预测都通过小麦数字孪生行为模型进行了模拟。模拟结果证明了监测生长状态的小麦数字孪生系统具备良好的生长模拟能力。
Wheat,as a major agricultural crop,is limited in its development towards intelligent production,mainly because agricultural producers are unable to understand the growth status of in detail,accurately and timely,and make corresponding analysis,feedback and decisions based on relevant information.In response to the above issues,a wheat digital twin system for monitoring growth status is designed using the Internet of Things technology and digital twin technology,which real-time monitoring of wheat growth status.In the process of model construction,the wheat virtual grid model is established and textured rendering is carried out by using 3ds Max software,the wheat behavior model is constructed by using the CERES-Wheat module of DSSAT model,and the visualization scene is built by using Unity3D software.The leaf area index(LAI),above-ground biomass(AGB),and the flowering and maturity periods are simulated through the wheat digital twin model.The simulation results prove that the wheat digital twin system for monitoring growth status has good growth simulation capability.
作者
闫海兰
杨亚龙
尚坡利
Yan Hailan;Yang Yalong;Shang Poli(School of Electrical and Electronic Engineering,Lanzhou Petrochemical Vocational and Technical University,Lanzhou 730050,China;Institute of Modern Physics,Lanzhou 730050,China)
出处
《机电工程技术》
2025年第20期16-20,共5页
Mechanical & Electrical Engineering Technology
基金
2023年度省级科技计划项目(23JRZA332)
甘肃中华职业教育社2024年度规划课题(SZJS24YB03)。
