智能制造在农业机械领域的应用现状分析

doi:10.12398/j.issn.2096-7217.2022.01.002

摘要/Abstract

摘要： 农业机械智能化、绿色化已成为现阶段农机发展的重要目标。智能制造在农业机械领域的应用迎来了前所未有的市场机遇。首先分析农业机械的发展现状, 研究智能制造在农业机械领域应用的关键新技术, 包括新互联网、大数据、云计算、数字孪生和机器人技术等; 然后总结智能制造给农业机械领域带来的新发展与新应用, 包括农业机械的设计、运行、维护和新能源等; 最后探讨智能制造在农业机械领域面临的挑战与应用前景, 指出目前急需解决的问题, 包括基础数据的缺乏、农业机械智能制造的局限性、运维管理的智能化不足以及智能运维应用的不足等。建议在未来发展中, 从知识库设计、关键应用突破、统一平台建设和农机智能化应用四个角度切入, 解决相应瓶颈问题, 推动智能制造在农机领域的发展。

关键词: 智能制造, 农业机械, 新互联网, 大数据, 设计制造, 运维

Abstract: Intelligent and green agricultural machinery has become an important goal at this stage. The application of intelligent manufacturing in the field of agricultural machinery has ushered in unprecedented market opportunities. This paper firstly analyzes the development status of agricultural machinery, and studies the key enabling technologies for intelligent manufacturing in agricultural machinery, including new IT, big data, cloud computing, digital twin and robotics, etc. Then the new development and application brought by intelligent manufacturing to agricultural machinery are summarized, including the design, management and maintenance, operation and new energy of agricultural machinery. Finally, the challenges and application prospects are discussed, and urgent problems are pointed out, including the lack of basic data, limitation of intelligent manufacturing in agricultural machinery, insufficient intelligent operation and maintenance as well as less application of intelligent operation in agricultural machinery. It is suggested that in the future, four research perspectives should be noticed, namely the design of knowledge base, the breakthrough of key application, the establishment of a unified platform and the intelligence of agricultural machinery. By solving these bottlenecks, the development of intelligent manufacturing in agriculture machinery will be greatly promoted.

Key words: intelligent manufacturing, agricultural machinery, new IT, big data, design and manufacture, operation and maintenance

中图分类号:

裴凤雀, 杨开伟, 王淼, 童一飞 . 智能制造在农业机械领域的应用现状分析[J]. 智能化农业装备学报（中英文）, 2022, 3(1): 7-19.

Pei Fengque , Yang Kaiwei , Wang Miao , Tong Yifei. Analysis of application status of intelligent manufacturing in agricultural machinery[J]. Journal of Intelligent Agricultural Mechanization, 2022, 3(1): 7-19.

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