安徽科技学院学报2024,Vol.38Issue(3) :87-95.DOI:10.19608/j.cnki.1673-8772.2024.0311

基于数字孪生的奶牛场三维可视化平台研究与实现

Research on 3D visualization platform for dairy farms based on digital twins

蒋鸿辉 仇振升 胡肄农 刘建龙 柏宗春
安徽科技学院学报2024,Vol.38Issue(3) :87-95.DOI:10.19608/j.cnki.1673-8772.2024.0311

基于数字孪生的奶牛场三维可视化平台研究与实现

Research on 3D visualization platform for dairy farms based on digital twins

蒋鸿辉 1仇振升 2胡肄农 2刘建龙 2柏宗春2
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作者信息

  • 1. 安徽科技学院机械工程学院,安徽凤阳 233100;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,江苏南京 210014;南京信息工程大学 自动化学院,江苏南京 210044
  • 2. 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,江苏南京 210014
  • 折叠

摘要

目的:为提升奶牛场生物安全等级,设计一种基于数字孪生的奶牛场三维可视化平台.方法:利用数字孪生技术将物联网、大数据等技术进行融合,实现对奶牛场信息的实时监测.使用三维建模软件构建奶牛场三维模型,结合网页前端和场景渲染等技术,实现实体奶牛场与孪生奶牛场的互联互通,构建虚拟的奶牛场三维可视化平台,对奶牛场的养殖环境、奶牛健康、牛舍实时情况等进行监测.结果:本研究初步实现了奶牛场实时监测、数据实时传输、信息三维可视化等功能.结论:本研究构建的奶牛数字孪生三维可视化平台有助于提高奶牛场智能管理水平,加快奶牛养殖数字化方向发展.

Abstract

Objective:In order to improve the safety of dairy cows,a 3D visualization platform based on digital twins was designed in this paper.Methods:The utilization of digital twin technology for the integration of Internet of Things,big data,and other cutting-edge technologies enables real-time monitoring of dairy farm information.3D modeling software was utilized to construct a virtual three-dimensional visualization platform of a dairy farm,which integrated web front-end and scene rendering technologies to establish an interconnected twin dairy farm.This platform enabled the monitoring of breeding environment,cow health,and real-time conditions of the physical dairy farm.Results:The present study has successfully achieved preliminary implementation of real-time monitoring,real-time data transmission,three-dimensional information visualization,and other functionalities in dairy farms.Conclusion:These advancements have significantly enhanced the intelligent management capabilities of dairy farms and expedited the progress of digital dairy farming.

关键词

数字孪生/三维可视化/奶牛养殖/实时监控平台

Key words

Digital twin/Three-dimensional visualization/Dairy farming/Real-time monitoring platform

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基金项目

江苏省重点研发计划(BE2022316)

江苏省现代农机装备与技术示范推广项目(NJ2022-48)

出版年

2024
安徽科技学院学报
安徽科技学院

安徽科技学院学报

影响因子:0.434
ISSN:1673-8772
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