农业农村大数据大会(2023)

奶牛智慧养殖技术装备及其数字孪生系统构建

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  • 1.江苏省农业科学院农业设施与装备研究所/农业农村部长江中下游设施农业工程重点实验室,南京210014
    2.无锡富华科技有限责任公司,江苏无锡 214135
    3.上海科湃腾信息科技有限公司,上海200072
胡肄农,E-mail:huyinong@qq.com

收稿日期: 2023-10-15

  录用日期: 2023-11-26

  网络出版日期: 2024-04-08

基金资助

江苏省现代农业重点及面上项目(BE2022316);江苏省现代农机装备与技术示范推广项目(NJ2022-48)

Construction of a Digital Twin System for Smart Dairy Farming Technologies and Equipment

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  • 1. Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
    2. Wuxi FOFIA Technology Co. Ltd. Wuxi 214135, Jiangsu, China
    3. Shanghai Kepaiteng Information Technology Co. Ltd., Shanghai 200072, China

Received date: 2023-10-15

  Accepted date: 2023-11-26

  Online published: 2024-04-08

摘要

数字孪生被视为智慧农业新的发展阶段。通过建立农业生产的物理系统和数字空间,数字孪生技术实现了“连接-感知-决策-控制”一体化,可以通过更高水平的智能控制应对农业生产系统的复杂性。我国农业数字孪生系统发展相对较晚,相关研究与技术装备整体处于探索和起步阶段。本文基于奶牛养殖多维信息采集、数据分析和生产仿真模型的研究,面向饲喂管理、繁殖管理、健康管理和环境调控等关键生产场景,建立奶牛场在虚拟空间的数字化映像,构建了奶牛养殖数字孪生系统,实现了对养殖技术流程与生产装备的数据驱动、实时反馈、模拟推演和以虚控实的智能管控,并在江苏省某千头规模奶牛场进行了具体应用和初步验证。

本文引用格式

胡肄农, 仇振升, 刘建龙, 潘海海, 朱红宾, 柏宗春 . 奶牛智慧养殖技术装备及其数字孪生系统构建[J]. 农业大数据学报, 2024 , 6(1) : 117 -126 . DOI: 10.19788/j.issn.2096-6369.000003

Abstract

Digital twin has been recognized as a new development stage of smart agriculture. By establishing physical systems and digital spaces for agricultural production, digital twin technology has achieved the integration of "connection - perception - decision - control", which can address the complexity of agricultural production systems through higher levels of intelligent control. The development of China's agricultural digital twin system is relatively late, and the overall research and technical equipment are in the exploratory and initial stage. In this article, on the basis of research on multidimensional information acquisition, data analysis, and production simulation models for dairy farming, a digital image of dairy farms in virtual space is established, which is targeting key production scenarios such as feeding management, breeding management, health management, and environmental regulation, and a digital twin system for dairy farming is constructed, implementing the data-driven, real-time feedback, simulation deduction, and intelligent control through virtual control of breeding technology processes and production equipment. And the digital twin system has been conducted specific application and preliminary verification on a 1000-herd scale dairy farm in Jiangsu Province.

参考文献

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