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Research and development of heavy truck big data management system based on Vue and element UI

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Published:14 October 2022Publication History

ABSTRACT

In view of the importance of the analysis and research of heavy truck driving big data and the urgent need for a simple and easy-to-use visual platform to display information, a set of heavy truck big data management system based on Vue and element UI is developed. The back-end of the system uses springboot technology to integrate the storage, processing and analysis functions of big data related technologies. The front-end is designed through Vue framework and element UI components, and finally develops a heavy truck background visual management system based on big data. The system has the functions of displaying real-time data of specified vehicles and querying any historical data of specified vehicles. It has the advantages of high concurrency and convenient maintenance.

References

  1. Moreno, G. , Narumanchi, S. , Feng, X. , Anschel, P. , & Keller, P. . (2021). Electric-drive vehicle power electronics thermal management: current status, challenges, and future directions[J]. Journal of Electronic Packaging.Google ScholarGoogle Scholar
  2. Dang Y, Zhao H, Wang J, Yang P, Chen L, Chang WL. (2018) An Analysis of Current Situation and Future Trend of heavy truck[J]. Automobile Applied Technology. (13):212-214.Google ScholarGoogle Scholar
  3. Su JG. (2019) Development of big data in the Internet era[J]. Science and technology wind. (10):1.Google ScholarGoogle Scholar
  4. Marx V. (2013) The big challenges of big data[J]. Nature. 498(7453):255-260.Google ScholarGoogle ScholarCross RefCross Ref
  5. Khoury MJ, Ioannidis J. (2014) Big data meets public health[J]. New Zealand Medical Journal. 346(6213):1054-1055.Google ScholarGoogle Scholar
  6. Liu, X. , Yan, X. , Wang, W. , H Titheridge, & Liu, Y. . (2021). Characterizing the polycentric spatial structure of beijing metropolitan region using carpooling big data[J]. Cities, 109(1), 103040.Google ScholarGoogle ScholarCross RefCross Ref
  7. Chen H, Liu H, Qiao SH, Wang YF. (2013) Analysis of Vehicle Driving Data Based on Cubic Spline Interpolation[J]. Automotive Innovation. (8):4.Google ScholarGoogle Scholar
  8. Yang C Liu LL. (2019) Research on Driving Cycle of Heavy Truck Based on Big Data[J]. Automobile Applied Technology. (20):61-63.Google ScholarGoogle Scholar
  9. Hao H, Wang HW, OUYANG MG. (2013) Predictions of China's passenger vehicle and commercial vehicle stocks[J]. Tsinghua Univ(Sci & Tech). 51(06):868-872.Google ScholarGoogle Scholar
  10. Meng XF, Ci X. (2013) Big Data Management: Concepts, Techniques and Challenges[J]. Journal of Computer Research and Development. 50(1):24.Google ScholarGoogle Scholar
  11. Gandomi, A., & Haider, M. (2015) Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Dong XT. (2013) Definition, characteristics and application analysis of big data[J]. Silicon Valley. (11): 2.Google ScholarGoogle Scholar
  13. Kuang ZG, Ji TT, Wu XL. (2017) Research and Practice of Single Page Application for Management System Based on Vue.js[J]. Modern Computer. (20):5.Google ScholarGoogle Scholar
  14. Liu K, Zhou XZ, Zhou DR. (2002) Data Visualization Research and Development[J]. Department of Computer Science. 28(8):3.Google ScholarGoogle Scholar
  15. Ren L, Du Y, Ma S, Zhang XL, Dai GZ. (2014) Visual Analytics Towards Big Data[J]. Journal of Software. 25(09):1909-1936.Google ScholarGoogle Scholar
  16. You LZ, Guo YC, Li CX. (2006) The principle and application of A jax engine[J]. Microcomputer Information, (02X):3.Google ScholarGoogle Scholar
  17. Hou L, Tang RZ, Xu YS. (2004) Review of theory, Key Technologies and Its Application of Modular Product Design[J]. Chinese Journal of Mechanical Engineering, 40(1):6.Google ScholarGoogle Scholar
  18. Gao WG, Xu YS, Chen YL, Zhang Qing. (2007) Theory and Methodology of Generalized Modular Design [J]. Chinese Journal of Mechanical Engineering, 43(6):7.Google ScholarGoogle Scholar
  19. Zhang HM, Xiong GL. (2001) Product Requirements Capturing and Structurally Modeling [J]. Computer Integrated Manufacturing Systems. 7(10):4.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Other conferences
    ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
    June 2022
    905 pages
    ISBN:9781450397179
    DOI:10.1145/3548608

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    Publication History

    • Published: 14 October 2022

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