Four big data application scenarios of State Grid Henan Electric Power passed acceptance

On March 22, the State Grid Henan Electric Power Company completed and passed the project acceptance for the first batch of four big data application scenarios this year, marking substantial progress in the company's big data application scenario construction.

This year, State Grid Henan Electric Power will focus on five aspects, including safe production and power supply services, to complete the construction of 53 application scenarios in eight categories, including finance, customers, equipment, operation, market, projects, panoramic monitoring and panoramic maps. Together with the pilot project "distribution network large feeder power outage identification" scenario launched last year, the company has currently invested in five big data application scenarios, involving five categories, including equipment and operation.

Since last year, State Grid Henan Electric Power has compiled a list of application scenario construction for the company's big data center based on the actual work needs of various business departments and grassroots units, focusing on creating practical application scenarios that can serve corporate decision-making, business management, and grassroots units, and promote digital-driven production and operation management upgrades.

State Grid Henan Electric Power, in accordance with the principle of "unified release platform, unified access portal, unified authority allocation", built a big data application scenario release platform, formulated relevant specifications for big data application scenario development, established a regular communication and weekly meeting system, and actively completed the selection of big data application analysis platform to provide a standardized support system for project construction. At the same time, for the application scenarios that have been built, the company has carried out research and development work on the splitting of micro-applications and micro-service functions based on their functions to promote the sharing of big data application scenario services.