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基于数字孪生的智慧农业环境监测系统设计与实现 被引量:3

Design and implementation of intelligent agricultural environmental monitoring system based on digital twins
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摘要 在建设数字乡村战略背景下,开展基于数字孪生技术的智慧农业环境监测系统对促进农业农村信息化高质量发展具有重要战略意义。针对当前国内智慧农业环境监控系统中存在的环境数据采集不完善、信息反馈迟滞、交互性差等缺点,本文以数字孪生技术为架构结合物联网技术设计实现了智慧农业环境监测系统,系统由孪生感知层、农业数据源层、数字孪生层、孪生应用层、孪生交互层等模块实现,该系统实现了农作物在生长过程中环境监测的智能化、数字化实时管理和可视化监控。以数字孪生技术对农作物生长过程的环境因素进行智能分析和虚拟映射,以虚实结合的方式对农作物生长过程中的环境进行可视化展示和智能化调节,达到合理利用农业资源、动态调节环境因素、提高农作物产品和质量的目的。 In the context of building a digital village strategy,it is of great strategic significance to develop a smart agricultural environmental monitoring system based on digital twin technology to promote the high-quality development of agricultural and rural informatization.In view of the shortcomings of the current intelligent agricultural environmental monitoring system in China,such as imperfect environmental data collection,sluggish information feedback,and poor interaction,the intelligent agricultural environmental monitoring system is designed and implemented based on digital twin technology and Internet of Things technology in the paper.The system is implemented by modules such as twin perception layer,agricultural data source layer,digital twin layer,twin application layer,twin interaction layer,etc.The system realizes intelligent,digital real-time management and visual monitoring of environmental monitoring during the growth of crops.The digital twin technology is used for intelligent analysis and virtual mapping of the environmental factors in the growth process of crops,and the visual display and intelligent adjustment of the environment in the growth process of crops are carried out in the way of combining the virtual with the real,so as to achieve the goal of rational utilization of agricultural resources,dynamic adjustment of environmental factors,and improvement of crop products and quality.
作者 王武英 魏霖静 WANG Wuying;WEI Linjing(College of Information Science and Technology,Gansu Agricultural University,Lanzhou 730070,China)
出处 《智能计算机与应用》 2023年第4期181-185,共5页 Intelligent Computer and Applications
基金 2020年甘肃农业大学研究生教育研究项目(2020-19) 2021年度兰州市人才创新创业项目(2021-RC-47) 2022年度科技部国家外专项目(G2022042005L)。
关键词 数字孪生 智慧农业 数字乡村 环境监测 系统设计 digital twins smart agriculture digital village environmental monitoring system design
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