基于数字孪生的智慧化农业耕作研究

doi:10.13733/j.jcam.issn.2095-5553.2024.05.034

摘要/Abstract

摘要： 智慧农业是未来农业发展的方向，智慧化农业耕作是实现智慧农业的基础之一。在深入探究数字孪生的概念与应用的基础上，提出基于数字孪生的智慧化农业耕作方案。首先分析智慧化农业耕作的需求和数字化土壤、土壤切削过程模拟、信息化农业耕作机械装备等发展状况；然后对数字孪生的产生与演化过程进行探究，并详述数字孪生基本概念，列举数字孪生概念在众多领域的应用与拓展，提出基于数字孪生的智慧化农业耕作的系统架构，包括物理耕作系统、虚拟耕作系统、智慧服务系统、孪生数据管理中心4个部分；并分析基于数字孪生的智慧化农业耕作的关键支撑技术；最后以小面积田地区域为研究场景，实现数字孪生旋耕机耕作。将数字孪生技术应用于农业耕作领域可为智慧化农业耕作的实现提供解决方案。

关键词: 农业耕作系统, 智慧农业, 数字孪生, 数据管理, 虚实结合

Abstract: Smart agriculture is the direction of future agricultural development, and smart agricultural tillage is one of the foundations for realizing smart agriculture. In view of the current problems in agricultural tillage, this paper proposes a smart agricultural tillage program based on digital twins on the basis of the indepth exploration of the concept and application of digital twin. Firstly, this article analyzes the needs of smart agricultural tillage and the development of digital soil, simulation of soil cutting process, informationbased agricultural machinery and equipment. Then it explores the generation and evolution process of digital twins, and elaborates the basic concepts of digital twins, lists the application and expansion of digital twins in many fields, and puts forward the system architecture of smart agricultural tillage based on digital twins, including physical farming system, virtual farming system, intelligent service system and twin data management center, and the key supporting technologies of smart tillage based on digital twins are analyzed. Finally, a small field area is taken as the research scene to achieve the digital twin rotary tillage cultivation. The application of digital twin technology in the field of agricultural tillage can provide solutions for the realization of smart agricultural tillage.

Key words: agricultural tillage systems, smart agriculture, digital twin, data management, combination of virtual and reality

中图分类号:

S126

熊祥盛, , 许静, 陈平录, 刘木华. 基于数字孪生的智慧化农业耕作研究[J]. 中国农机化学报, 2024, 45(5): 223-231.

Xiong Xiangsheng, , Xu Jing, Chen Pinglu, Liu Muhua. Research on smart agriculture tillage based on digital twins[J]. Journal of Chinese Agricultural Mechanization, 2024, 45(5): 223-231.

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