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基于BIM设计思维的农业智能管理系统设计 被引量:1

Design of Agricultural Intelligent Management System Based onBIM Design Thinking
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摘要 随着农业生产规模的扩大,农业生产的管理难度越来越大。传统的农业管理自动化水平低、信息获取效率低、数据不全面,对农作物的生长过程缺乏实时、可视化监控,影响农作物质量和产量的提高。为此,引入了BIM设计思维,深入研究分析BIM技术的特点和优势,将BIM技术的全寿命管理、协同性和可视化等特点应用到农业生产管理中,完成了农业智能管理系统的设计。同时,对农业智能管理系统的总体架构进行研究,通过传感器、主控制器、通信模块等实现对农业生产的全寿命管理、可视化管理和协同作业,实现农业智能管理系统的自动化、智能化控制。测试结果表明:基于BIM设计思维的农业智能管理系统能够准确获取农业生产的各类信息,保证信息数据的实时性、有效性,有效提高了农业生产的质量和产量,对提升农业生产效益、指导农业生产高效运行具有十分重要的实践意义。 With the expansion of agricultural production scale,the management of agricultural production becomes more and more difficult.Traditional agricultural management has a low level of automation,low information acquisition efficiency,incomplete data,and lack of real-time and visual monitoring of the growth process of crops.Agricultural management has a very important impact on the improvement of crop quality and yield.This paper introduces BIM design thinking,deeply researches and analyzes the characteristics and advantages of BIM technology,applies the characteristics of BIM technology's life-span management,synergy,and visualization in agricultural production management,and completes the design of agricultural intelligent management system.The overall architecture of the management system is studied,and the whole life management,visual management and collaborative operation of agricultural production are realized through main equipment such as sensors,main controllers,and communication modules.The software and hardware design of the agricultural intelligent management system is used to realize agricultural intelligent management.The agricultural intelligent management system based on BIM design thinking can accurately obtain all kinds of information about agricultural production and ensure the real-time and effectiveness of information and data.The application of agricultural intelligent management system effectively improves the quality and yield of agricultural production,and improves the efficiency of agricultural production.Guiding the efficient operation of agricultural production has very important practical significance.
作者 李红莎 Li Hongsha(Shangqiu Vocational and Technical College,Shangqiu 476000,China)
出处 《农机化研究》 北大核心 2023年第1期128-132,共5页 Journal of Agricultural Mechanization Research
基金 河南省大中专院校就业创业课题(JYB2019336)。
关键词 智能管理 BIM 全寿命管理 协同性 可视化 农业生产 intelligent management BIM life span management synergy visualization agricultural production
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