化工进展 ›› 2021, Vol. 40 ›› Issue (S2): 192-197.DOI: 10.16085/j.issn.1000-6613.2021-1470

• 工业催化 • 上一篇    下一篇

炼油催化剂档案专题数据库的建设及应用

胡一鸣()   

  1. 中国石油化工股份有限公司石油化工科学研究院,北京 100083
  • 收稿日期:2021-07-12 出版日期:2021-11-12 发布日期:2021-11-12
  • 作者简介:胡一鸣(1993—),女,博士,主要从事石油化工行业情报信息调研管理及数字化建设工作,E-mail:huyiming.ripp@sinopec.com

Construction and application of refining catalyst archives thematic database

HU Yiming()   

  1. SINOPEC Research Institute of Petroleum Processing, Beijing 100083, China
  • Received:2021-07-12 Online:2021-11-12 Published:2021-11-12

摘要:

从海量数据中迅速、准确地获取与炼油催化剂相关的知识信息有利于节约新型炼油催化剂开发的时间成本。科研档案作为记录过程数据和经验知识的载体,是炼油催化剂生产技术再发展的重要基础。本文通过对炼油催化剂科研档案利用现状的分析,发现档案资源并未与研发生产过程进行有效的契合,造成了资源的严重浪费。为提升档案资源在产品开发过程中的使用价值,本文提出以炼油催化剂为核心的档案专题数据库建设思路,介绍了数据库的系统体系架构、技术总体架构和部署运行架构,阐述了如何利用炼油催化剂档案专题数据库实现企业研发过程中不同用户对档案知识多样化利用的需求,使档案专题数据库在科研创新中发挥出应有的支撑作用,期望为我国石油化工领域中科研档案的数据管理和知识挖掘提供借鉴。

关键词: 石油, 催化剂, 科研档案, 知识挖掘, 专题数据库, 知识图谱

Abstract:

Rapid and accurate acquisition of refining catalysts knowledge from mass data is beneficial to saving the time cost of developing novel refining catalysts. Scientific research archives, regarded as carriers to record the process data and experiential knowledge, are the important basis for the development of refining catalyst production technology. Through analyzing the current situation about the utilization of refining catalysts-related scientific research archives, it can be found that those archives are not effectively combined with the research and production process, and thus resulting in severe waste of resources. In order to enhance the use value of archives in product development, the idea about construction of refining catalyst archives thematic database was raised. In this paper, the system architecture, overall technical framework and operation strategy were introduced, which could meet different users' demand during the research and development process. The database also realizes its supporting role in research, which is expected to work as a reference in scientific research archives of petrochemical industry in China when it comes to data management and knowledge mining.

Key words: petroleum, catalyst, scientific research archives, knowledge mining, thematic database, knowledge graph

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