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Engineering data transmission is a critical component throughout the entire life-cycle management of engineering data management. Data quality plays a central role in engineering data transmission, exerting a profound impact on engineering decision-making and safety. This paper analyzes the characteristics of engineering data transmission links, identifies data quality issues in engineering data transmission, and proposes Seed, a data quality assessment algorithm for engineering data transmission links. Finally, the effectiveness, and efficiency of the Seed algorithm are validated using both real-world and synthetic datasets.

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Data Quality Evaluation Model for Engineering Data Transmission Links

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Xinyuan Lan,
  • Chao Han,
  • Qiao Kang,
  • XiaoCong Chen,
  • Xudong Li,
  • Shengjie Zhai,
  • Weinian Pan,
  • Ke Huang,
  • Jinyang Song,
  • Shuang Li,
  • Shan Zhao

摘要

Engineering data transmission is a critical component throughout the entire life-cycle management of engineering data management. Data quality plays a central role in engineering data transmission, exerting a profound impact on engineering decision-making and safety. This paper analyzes the characteristics of engineering data transmission links, identifies data quality issues in engineering data transmission, and proposes Seed, a data quality assessment algorithm for engineering data transmission links. Finally, the effectiveness, and efficiency of the Seed algorithm are validated using both real-world and synthetic datasets.