华南理工大学学报(自然科学版) ›› 2018, Vol. 46 ›› Issue (12): 84-92.doi: 10.3969/j.issn.1000-565X.2018.12.011

• 机械工程 • 上一篇    下一篇

基于物联网的汽车制造系统集成设计云平台

刘世豪1,李斌勇2   

  1. 1. 海南大学 机电工程学院,海南 海口 570228;
    2. 成都信息工程大学 网络空间安全学院,四川 成都 610225
  • 收稿日期:2018-04-04 修回日期:2018-08-07 出版日期:2018-12-25 发布日期:2018-11-01
  • 通信作者: 刘世豪(1981-) ,男,博士,副教授,主要从事制造系统建模与优化研究 E-mail:liushihao1102@126.com
  • 作者简介:刘世豪(1981-) ,男,博士,副教授,主要从事制造系统建模与优化研究
  • 基金资助:
    中央引导地方科技发展专项资金项目( ZY2018HN09-6) ;
    国家自然科学基金资助项目( 71701026 ) ;
    海南省自然 科学基金资助项目( 518QN256) 

Integrated Design Cloud Platform for Automobile Manufacturing System Based on Internet of Things#br#

LIU Shihao1 LI Binyong2   

  1. 1. School of Mechanical and Electrical Engineering,Hainan University,Haikou 570228,Hainan,China;
    2. School of Cybersecurity,Chengdu University of Information Technology,Chengdu 610225,Sichuan,China
  • Received:2018-04-04 Revised:2018-08-07 Online:2018-12-25 Published:2018-11-01
  • Contact: 刘世豪(1981-) ,男,博士,副教授,主要从事制造系统建模与优化研究 E-mail:liushihao1102@126.com
  • About author:刘世豪(1981-) ,男,博士,副教授,主要从事制造系统建模与优化研究
  • Supported by:
    The central government guiding special funds for development of local Science and Technology ( ZY2018HN09-6) , the National Natural Science Foundation of China( 71701026) and the Natural Science Foundation of Hainan Province of China( 518QN256) 

摘要: 为了提高汽车制造系统的智能化水平,提出了基于物联网和云计算的汽车制造系统集成设计方法.结合所提出的方法,构造了基于物联网的汽车制造系统集成设计云平台,借助物联网监测系统的在线状态数据.在汽车制造系统的概念设计阶段,运用模糊积分法解决多指标集成决策问题,获取最优概念设计方案.在汽车制造系统的详细设计阶段,运用遗传算法和云计算技术求解系统的最优拓扑结构及参数,对系统进行在线改进.将所提出的方法进行应用,解决了在一批车用曲轴新的加工要求下某汽车智能制造系统的性能指标优化问题,使车用曲轴的平均加工速度达到4件/h、产品合格率达到97%.研究表明,所提出的基于物联网和云计算的汽车制造系统集成设计方法具有较高的工程应用价值.

关键词: 在线监测, 物联网, 云计算, 智能制造, 集成设计, 车用曲轴

Abstract: In order to improve the intelligent level of automobile manufacturing system, an integrated design method for automobile manufacturing system based on internet of things and cloud computing is proposed. In according to the proposed method, an internet of things-based integrated design cloud platform for automobile manufacturing system is constructed, in which the user's new design requirements can be real-time processed. In the process of on-line monitoring of the automobile manufacturing system, the data collection and transmission is carried out by using the Internet of Things. The state data of the system is analyzed under the cloud computing platform, then the fault and design defects of the automobile manufacturing system is found, which provides a targeted improvement strategy for the conceptual design and detailed design of the system. In the automobile manufacturing system’s conceptual design stage, the fuzzy integral method is used to solve the multi-index integrated decision-making problem in order to obtain the optimal concept design scheme. In the automobile manufacturing system’s detailed design stage, the optimal topology and its parameters of the system is solved by genetic algorithm and cloud computing technology, and the automobile manufacturing system is online improved on the basis of the obtained design results. The use of cloud computing and online improvement method is conducive to improving the intelligent level of automobile manufacturing system. Taking the proposed method into practical application, the performance index optimization problem of an automobile intelligent manufacturing system is solved under the new processing requirements of a batch of automobile crankshaft, which makes the processing speed and product yield of the automobile crankshaft improved largely. After the automobile intelligent manufacturing system is improved, the average machining speed of the crankshaft for automobile is 4 piece/h and the product qualification rate is 97%.The research shows that the proposed integrated design method for automobile manufacturing system based on internet of things and cloud computing has high engineering application value.

Key words: online monitoring, internet of things, cloud computing, intelligent manufacturing, integrated design, automobile crankshaft

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