DOI：10.6041/j.issn.1000-1298.2024.09.001
摘要:数字孪生技术作为一种多尺度、多物理的技术手段，能够实现物理世界与信息世界的实时同步和高保真度的数据交互与融合，因此这项技术在实现生产过程中的实时监控、预测分析和决策优化方面具有巨大发展潜力，开始初步应用于农业生产过程管控中。为了分析数字孪生技术在农业生产管控中的应用现状和发展趋势，本文概括并分析了数字孪生技术在大田、果园、温室、畜牧以及农业装备等不同生产场景中的应用实例，探讨了其发展现状。然后探讨了农业生产过程中的数字孪生五维模型，并分析了物理实体数据感知、虚拟实体构建和虚实交互与数据驱动等关键技术。最后，根据现有应用和关键技术分析，提出了数字孪生技术应用于农业生产智慧管理的发展趋势为：必须跳出单一场景和阶段的应用框架，实现对农业生产全过程的数字孪生与智慧管控服务。
关键词: 数字孪生;农业生产;智慧管控;综述
Application Status and Development Prospects of Digital Twin Technology in Agricultural Production Process Control
Abstract:Digital twin technology, a sophisticated multi-scale and multi-physical methodology, facilitates the real-time synchronization and high-fidelity data exchange and integration between the physical and informational realms. Owing to its immense potential in real-time monitoring, predictive analytics, and decision optimization, this transformative technology has begun to see preliminary applications in the management of agricultural production processes, offering unprecedented opportunities for enhancing efficiency and productivity. To elucidate the current application landscape and future trajectory of digital twin technology in agricultural management, various application instances across diverse production settings, including arable fields, orchards, greenhouses, livestock farming, and agricultural machinery were enumerated and scrutinized. Following this, five-dimensional model of digital twins in agricultural processes was delved, offering an in-depth analysis of pivotal technologies such as data acquisition, virtual-scenario construction, cyber-physical interaction, and data analytics. Ultimately, informed by the evaluation of current applications and critical technologies, the developmental trends of digital twin technology in the intelligent management of agricultural production were posited. Through the comprehensive discourse and analysis, it aimed to furnish valuable insights for the advancement and deployment of digital twin technology in the intelligent control of agricultural production processes, paving the way for a more sustainable and efficient agricultural future. Based on the analysis of current applications and key technologies, the development trend of digital twins applied to intelligent control in agricultural production is: It is essential to move beyond the application framework of a single scenario and stage, and realize digital twin and intelligent control services for the entire agricultural production process.
Key Words:digital twin;agricultural production;intelligent management and control;review
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