华东师范大学学报（自然科学版） ›› 2022, Vol. 2022 ›› Issue (5): 14-25.doi: 10.3969/j.issn.1000-5641.2022.05.002

• 区块链系统与数据管理 • 上一篇    下一篇

多源数据辅助材料研发的数据应用系统

洪语晨, 郁毅明, 王晔*(), 董启文   

  1. 华东师范大学 数据科学与工程学院, 上海　200062
  • 收稿日期:2022-07-19 接受日期:2022-07-19 出版日期:2022-09-25 发布日期:2022-09-26
  • 通讯作者: 王晔 E-mail:ywang@dase.ecnu.edu.cn

Data application system for multi-source data-aided materialresearch and development

Yuchen HONG, Yiming YU, Ye WANG*(), Qiwen DONG   

  1. School of Data Science and Engineering, East China Normal University, Shanghai　200062, China
  • Received:2022-07-19 Accepted:2022-07-19 Online:2022-09-25 Published:2022-09-26
  • Contact: Ye WANG E-mail:ywang@dase.ecnu.edu.cn

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摘要：

材料研发行业在生产过程中产生的数据类型多样, 数据来源于不同系统, 涉及流程多, 面临数据孤岛等问题, 需要一个集数据收集、管理与应用于一体的数据应用系统推动其数字化转型, 发挥数据价值, 驱动行业创新变革. 本文针对以上问题, 设计了面向材料研发领域的数据应用系统, 覆盖了材料研发领域中从数据采集到数据存储的完整数据管理流程, 并且能够有效支撑“专题数据库”“配方性能预测”及“配方相关性分析”等材料研发数据应用, 推动材料研发行业以数据驱动创新发展.

关键词: 数据管理, 数据采集, 数据管理系统

Abstract:

The material research industry generates a wide variety of data from a wide range of sources. Notably, the data islanding issue pertaining to this scenario demands an application platform that integrates data collection, management, and application so that the value of the data can be better utilized for development. For this purpose, this study proposes a data management system that handles the entire data management lifecycle from collection to application for the material research industry, including thematic database, formula performance prediction, and formula correlation analysis capabilities. Itis expected that this development will promote data-driven innovations and improvements within the industry.

Key words: data management, data collection, data management system

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