专题:智能制造

智能轮胎——轮胎智能制造的机遇与挑战

  • 张向文 ,
  • 王飞跃
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  • 1. 桂林电子科技大学电子工程与自动化学院, 桂林 541004;
    2. 中国科学院自动化研究所, 复杂系统管理与控制国家重点实验室, 北京 100190
张向文,研究员,研究方向为智能轮胎、汽车电子控制,电子信箱:zxw@guet.edu.cn;王飞跃,研究员,研究方向为平行智能、智能控制、社会计算、平行管理,电子信箱:feiyue.wang@ia.ac.cn

收稿日期: 2018-05-24

  修回日期: 2018-10-29

  网络出版日期: 2018-11-27

Opportunities and challenges for tires intelligent manufacturing from intelligent tires

  • ZHANG Xiangwen ,
  • WANG Fei-Yue
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  • 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China;
    2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Received date: 2018-05-24

  Revised date: 2018-10-29

  Online published: 2018-11-27

摘要

智能轮胎是信息技术和轮胎技术深度融合的产物,为轮胎智能制造的信息化、智能化和网络化创造了极好的发展机遇。智能轮胎的状态监测方法为轮胎生产、仓储、运输、销售和维修服务全生命周期的信息化管理提供了便利;其建模与控制技术方便了轮胎数字化设计与虚拟仿真的实现,为轮胎制造过程的智能化提供了便利;轮胎状态自动调节系统收集轮胎在不同路面状况、不同轮胎压力和不同速度下的信息,方便进行轮胎性能的分析,为轮胎制造过程的网络化提供了便利。但智能轮胎相关的轮胎材料和制造技术、传感器和芯片技术、实验测试技术以及智能化应用方面还存在一定的局限性,对智能轮胎技术在轮胎智能制造过程的实施提出了挑战。

本文引用格式

张向文 , 王飞跃 . 智能轮胎——轮胎智能制造的机遇与挑战[J]. 科技导报, 2018 , 36(21) : 38 -47 . DOI: 10.3981/j.issn.1000-7857.2018.21.004

Abstract

The development of intelligent tire is in line with the automatic, informational, intelligent and networked trend of the tire manufacturing process, and it is the fusion result of information technology and tire technology, so the intelligent tire creates excellent opportunities for the informational, intelligent and networked development of tire intelligent manufacturing. The condition monitoring method of intelligent tires provides convenience for the information management of the whole life cycle of tire production, warehousing, transportation, sales and maintenance services. The modeling and control technology of intelligent tires facilitates the realization of digital design and virtual simulation of tires and provides convenience for the intellectualization of tire manufacturing process. Tire condition automatic regulating system can collect tire information under different road conditions and different tire pressure and different vehicle speed, so it provides networked convenience for the tire manufacturing process. However, there are some limitations on the tire materials and manufacturing technology, sensors and chip technology, test technology and intelligent application related with intelligent tires, so the intelligent tire technology also provides some challenges for the implementation of tire intelligent manufacturing.

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