中文

Journal of Intelligent Agricultural Mechanization (in Chinese and English) ›› 2022, Vol. 3 ›› Issue (1): 7-19.DOI: 10.12398/j.issn.2096-7217.2022.01.002

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Analysis of application status of intelligent manufacturing in agricultural machinery

Pei Fengque1, Yang Kaiwei2, Wang Miao2, Tong Yifei2   

  1. 1 . College of Mechanical and Electrical Engineering , Hohai University , Changzhou 213022, China ;
    2
    . School of Mechanical Engineering , Nanjing University of Science & Technology , Nanjing 210094, China
  • Online:2022-05-15 Published:2022-07-08
  • Corresponding author: Tong Yifei
  • About author:Pei Fengque, Doctor, Lecturer, researchinterests: big data analysis, intelligent manufacturing.
  • Supported by:
    Fundamental Research Fundsforthe Central Universities (No. 30919011205 , 30917011303)

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

CLC Number: