State Grid Fujian Electric Power Promotes the Construction of Energy Big Data Center

On August 24, it was learned that State Grid Fujian Electric Power deployed to promote the construction of energy big data centers, coordinate energy big data centers with high standards, steadily promote the physical operation of energy big data centers, strengthen the quality of data products, better support the strategic landing of State Grid Corporation, and support the modernization of social and corporate governance capabilities.

State Grid Fujian Electric Power explores the establishment of a scientific and reasonable cooperation mechanism, establishes close cooperative relations with government departments, universities and experts, strengthens planning and research, and improves the quality of data products; Accelerate the convergence and access of external data, deepen the research on the technical scheme and management mechanism of data access, promote the unified collection, overall management and resource sharing of data in the energy industry, and establish a scientific and accurate big data analysis model to make the data more complete and valuable; Coordinate the construction of data infrastructure, formulate detailed rules for data application management, put forward standardized management requirements for data application demand library, reserve library, R&D library and product library, strengthen data basic management, and ensure data quality and safety; Strengthen team building, pay attention to the cultivation of information and management professionals, and better serve the development of energy big data centers.

Guided by market demand, the company strengthens precision investment, product operation and application management, promotes the application iteration of data products, ensures the value-added of data products, and improves R&D efficiency. At present, the company has built an "electronic easy-to-add" data product system, and developed more than 20 data products such as rural revitalization power index and visual kanban of tea energy consumption. Promote the external value-added of data products such as enterprise sewage treatment, residential vacancy analysis and group rent identification. (Lin Meimei)