国产数据库在能源数字化转型中的创新应用研究  

Research on the innovative application of domestic database in energy digital transformation

作　　者：董文 张俊峰 刘俊 张雷 DONG Wen;ZHANG Junfeng;LIU Jun;ZHANG Lei(China Electronics Technology Kingbase(Beijing)Technologies Inc.,Beijing 100085,China;Technology and Standards Research Institute,China Academy of Information and Communications Technology,Beijing 100191,China)

机构地区：[1]中电科金仓(北京)科技股份有限公司,北京100085 [2]中国信息通信研究院技术与标准研究所,北京100191

出　　处：《信息通信技术与政策》2024年第10期68-74,共7页Information and Communications Technology and Policy

摘　　要：在全球能源格局重塑与国内能源化工行业转型升级的大背景下,数字化转型已成为能源行业提升竞争力的必由之路。深入探讨了异构数据库智能迁移、数据库自治优化及灵活扩展体系架构等创新技术,有效破解了数据库迁移难题,提升了数据处理效能与系统稳定性。国产数据库凭借其多模数据处理与云数据库技术,为石油石化行业构筑了强大的数据管理与服务能力,有力推动了行业数据共享、业务协同与运营效率的全面提升。该能源企业上游开发生产系统整合上云升级项目的成功实践,充分验证了国产数据库在实际应用中的良好表现,展现了其在能源行业数字化转型中的巨大潜力与价值。Under the background of the reshaping of the global energy pattern and the transformation and upgrading of the domestic energy and chemical industry,digital transformation has become an inevitable path for the energy enterprises to enhance their competitiveness.This paper deeply discusses the innovative technologies such as intelligent migration of heterogeneous databases,database autonomy optimization and flexible expansion architecture,then effectively solves the problem of database migration and improves data processing efficiency and system stability.With its multi-mode data processing and cloud database technology,the domestic database has built a strong data management and service capability for the petroleum and petrochemical industry,which has effectively promoted the overall improvement of industry data sharing,business collaboration and operational efficiency.The successful practice of integrating the upstream development and production system of an energy enterprise into the cloud upgrade project fully verifies the good performance of the domestic database in practical application,and shows its great potential and value in the digital transformation of the energy industry.

关 键 词：能源数字化转型 国产数据库 自治优化 多模数据 云数据库 

分 类 号：TP311.132.3[自动化与计算机技术—计算机软件与理论]