Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Full-Cycle Data Analysis Platform Construction Scheme for the Truck Industry

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342644,
        author={Jinhuan  Zang and Heling  Mao and Lu  Zhang},
        title={Full-Cycle Data Analysis Platform Construction Scheme for the Truck Industry},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={truck industry data big data lake warehouse integration big data platform construction},
        doi={10.4108/eai.17-11-2023.2342644}
    }
    
  • Jinhuan Zang
    Heling Mao
    Lu Zhang
    Year: 2024
    Full-Cycle Data Analysis Platform Construction Scheme for the Truck Industry
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342644
Jinhuan Zang1, Heling Mao1,*, Lu Zhang1
  • 1: China Auto Information Technology (Tianjin) Co., Ltd., Tianjin, China
*Contact email: maoheling@catarc.ac.cn

Abstract

Due to the popularity of data acquisition tools, data will be generated throughout the life cycle of automobiles. Key information needs to be extracted to reflect market changes, competitive enterprise dynamics, technology trends from the data. In this study, data processing processes and tools in the industry are investigated, and key technologies such as data dimension reduction, data fusion and data governance are integrated by using the coupling relationship of various links to connect data resources with each other through ID identification. Finally, the visualization platform and analysis report can be used to condense data analysis results and expert wisdom, provide decision support for product planning and market strategy of automobile and parts enterprises, and digitally empower the value chain of automobile