计算机与现代化 ›› 2022, Vol. 0 ›› Issue (07): 91-96.

• 人工智能 • 上一篇    下一篇

面向中原城市群的科技服务资源池研究与设计

  

  1. (1.齐鲁工业大学(山东省科学院),山东济南250353;2.山东省计算中心(国家超级计算济南中心),山东济南250013;
    3.山东省人工智能研究院,山东济南250013)
  • 出版日期:2022-07-25 发布日期:2022-07-25
  • 作者简介:单珂(1985—),男,山东济南人,助理研究员,硕士,研究方向:大数据技术应用,E-mail: shank@sdas.org; 通信作者:张一鸣(1991—),男,研究实习员,硕士,研究方向:科技服务理论,E-mail: zhangyiming0920@126.com; 刘瑞霞(1976—),女,博士,研究方向:人工智能,E-mail: liurx@sdas.org。
  • 基金资助:
    国家重点研发计划项目(2018YFB1404500); 齐鲁工业大学(山东省科学院)科教产融合创新试点工程项目(2020KJC-ZD16)

Research and Design of Science and Technology Service Resource Pool Oriented to Central Plains Urban Agglomeration

  1. (1. Qilu University of Technology(Shandong Academy of Sciences), Jinan 250353, China;
    2. Shandong Computer Science Center(National Supercomputer Center in Jinan), Jinan 250013, China;
    3. Shandong Artificial Intelligence Institute, Jinan 250013, China)
  • Online:2022-07-25 Published:2022-07-25

摘要: 随着我国科学技术的快速发展,中原城市群的信息化建设取得了较大进步,形成了具有地域特色的科技资源,但是总体而言,中原城市群科技服务资源分散,集成化不高,服务效率低,难以做到真正意义上的科技资源共享。为解决上述问题,本文研究数据抽取、处理、校验、标准化和融合技术。通过科技服务数据采集集成引擎,运用大数据整合技术,将分散独立的各类科技服务数据整合为一体;采用HBase列存储数据库和HDFS分布式文件系统存储不同类型数据,支撑结构化、半结构化、非结构化数据的并行处理,进而向平台提供数据检索、数据分析等各类数据服务,解决各类不同来源数据融合的问题,完成中原城市群科技服务资源池的架构设计,提高科技资源利用率,促进科技资源合理利用。

关键词: 科技服务, 大数据; 数据交换; 数据处理; 数据存储

Abstract:  With the rapid development of science and technology in China, great progress has been made in the informatization construction of the Central Plains urban agglomeration, and the scientific and technological resources with regional characteristics have been formed. But on the whole, the science and technology service resources of Central Plains urban agglomeration are scattered, the integration is not high, and the service efficiency is low, so it is difficult to achieve the real sense of science and technology resource sharing. In order to solve the above problems, this paper studies data extraction, processing, verification, standardization and fusion technology. Through the technology service data collection integration engine, this paper uses big data integration technology  to integrate the scattered and independent various technology service data into one; HBase column storage database and HDFS distributed file system are used to store different types of data to support the parallel processing of structured, semi-structured, and unstructured data, and then providing various data services such as data retrieval and data analysis to the platform, solving various differences problems of source data integration, completing the architectural design of the science and technology service resource pool of the Central Plains urban agglomeration, improving the utilization rate of science and technology resources, and promoting the rational use of science and technology resources.

Key words: science and technology services, big data, data exchange, data processing, data storage