Journal of South China University of Technology(Natural Science Edition) ›› 2018, Vol. 46 ›› Issue (12): 84-92.doi: 10.3969/j.issn.1000-565X.2018.12.011

• Mechanical Engineering • Previous Articles     Next Articles

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) 

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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