• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2021, Vol. 57 ›› Issue (2): 11-20.doi: 10.3901/JME.2021.02.011

• 仪器科学与技术 • 上一篇    下一篇

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机器信息学:机械产品智能化的学科支撑

林京1,2   

  1. 1. 北京航空航天大学可靠性与系统工程学院 北京 100191;
    2. 西安交通大学机械制造系统工程国家重点实验室 西安 710049
  • 收稿日期:2020-08-11 修回日期:2020-11-30 出版日期:2021-01-20 发布日期:2021-03-15
  • 通讯作者: 林京(通信作者),男,1971年出生,博士,教授,博士研究生导师。主要研究方向为机械装备动态测试与诊断、结构健康监测、机械系统可靠性,智能制造与控制等。E-mail:linjing@buaa.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51421004,91860205)。

Machinery Informatics:A Fundamental Discipline to Intelligent Machinery

LIN Jing1,2   

  1. 1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191;
    2. State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049
  • Received:2020-08-11 Revised:2020-11-30 Online:2021-01-20 Published:2021-03-15

摘要: 不断将新技术融入装备的全生命周期,使其品质和效能获得显著提升,是提升装备及其制造水平的重要手段。随着两化融合的深入开展,如何将现代信息技术与机械装备深度融合,是提升机械产品智能化水平的关键。机器信息学正是在这一背景下,通过信息科学与技术、机器学、制造科学与技术等多学科的交叉融合,揭示机器全生命周期各阶段与其品质、效能相关的信息及其动态变化过程。本文围绕机器信息学的研究内涵、学科基础、研究思路等进行阐述,并结合具体案例给出了在装备诊断过程中机器信息学的内涵和应用,最后对机器信息学的发展方向进行展望。

关键词: 动力学, 信息论, 机电耦合, 智能制造, 智能装备

Abstract: A promising and efficient way to improve the performance of the machinery is to continuously integrate new technologies into the total life cycle. With the in-depth development of the integration of industrialization and informatization, how to deeply integrate modern information technology with machinery is the key to improving the level of intelligentization of mechanical products. The subject of machinery information proposed in the paper is used to investigate all the dynamic information of the machinery throughout the life cycle, which integrates the disciplines of information technology, mechanics, manufacturing and other related disciplines so as to provide much more detail and abundant information about the performance and it related parameters. The concept and content of the machinery information is also introduced, some examples are given to illustrate how to solve the practical problems based on this theory.

Key words: dynamics, informatics, electromechanical coupling, intelligent manufacturing, intelligent equipment

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