BACKGROUND

The development of the power and energy industry is undergoing profound changes. On the one hand, the requirements of large power group companies for informatization are also increasing. They have gradually transitioned from the initial stage of focusing on basic IT network construction and simple business system construction to the intermediate stage of distributed IT center construction, core network construction, and the improvement of various related professional business systems. It is the advanced stage of comprehensive business integration platform construction. On the other hand, with the gradual deepening of the reform of China's power system, especially with the release of "Several Opinions on Further Deepening the Reform of the Power System", the electricity sales market will gradually become market-oriented. The operational efficiency of the participants presents an even greater challenge.

PAIN POINTS OF SMART POWER

With the continuous increase of power grid business volume and the diversification of business types, the demand for data mutual access between business departments increases, and the access channels that emerge as the times require are numerous and complex, and access failures often occur. Second, some business systems of the power grid have very high requirements for real-time data. The newly added data of the system needs to be synchronized to the shared library in real time to ensure the efficient operation of the business. In addition, how to effectively use technical means to calculate massive historical data, how to use effective data basis to make management decisions, and at the same time meet the growing demand for innovative applications, are all issues that power groups and their solution providers must face. Finally, with the full liberalization of the electricity sales market, a large number of electricity sales companies have transitioned from the business model of simply earning the difference to providing value-added services. Providing higher-quality services through data analysis and improving their own competitiveness are essential for surviving in today's market.

SOLUTION ADVANTAGES

Core advantages description

SOLUTION INTRODUCTION

DataFocus can be deployed as an independent big data platform or integrated application as a data analysis module of a big data solution for power. Use the DataFocus big data warehouse to build a unified big data center, establish unified data standards, and provide unified data services to the outside world.

FEATURES AND ADVANTAGES OF SOLUTIONS

The power industry is a data-intensive industry. After years of informatization and Internet + practice, large power groups already have a considerable data foundation. As a highly flexible professional software product focusing on data analysis and algorithm integration, DataFocus can be easily integrated with various operation and maintenance software platforms. Power industry solution providers or power companies can integrate various technical features of DataFocus from different perspectives, rationally use and solve problems in specific scenarios.

CLIENT CASE

Make data analysis easier！

Case No.1：

S Grid Corporation has formed dozens of business systems through years of informatization construction, and accumulated a large amount of data. These business systems are scattered in various business departments, and the integration and exchange of various heterogeneous data are difficult.

Provide data integration processing capabilities using the DataFocus data integration platform

Extract data from data sources of different structures, process and transform, and finally load the data into various storage structures. Real-time data synchronization of nearly 10,000 tables and non-intrusive incremental data synchronization of multiple large tables with more than 10 billion records, supporting one-key access to more than 30 data sources, and easily meeting the high demand for real-time data synchronization and sharing in the power grid, Finally, a high-speed data channel is built to support application construction.

  • The company has established a power big data center based on DataFocus, which integrates the company's internal data assets and external data assets, thereby promoting the integration and utilization of internal and external data assets, unifying data standards, and supporting the application of the upper-level asset operation system and customer service electronic channels.
  • Using the search analysis module of DataFocus, application services such as power big data analysis and visualization system can be easily realized；
  • Using the algorithm training platform of DataFocus, AI applications for multiple specific business scenarios have been created, such as fault warning, power load forecasting, scheduling system optimization, etc.

The effective application of DataFocus starts from breaking the company's data islands, and forms a large number of data visualization applications and data-based AI applications around the formed mobile data assets.

Case No.2：

Y Electricity Sales Company has a large number of electricity purchase customers, most of which are industrial electricity enterprises, especially manufacturing enterprises. Electricity costs constitute an important production cost for these customers. Because the production and operation of enterprises will be affected by seasonal fluctuations, market and sales changes, etc., their production plans often change, which makes it impossible for enterprises to accurately predict electricity consumption.

Electricity sales company provides smart energy services with DataFocus

Extract data from data sources of different structures, process and transform, and finally load the data into various storage structures. Real-time data synchronization of nearly 10,000 tables and non-intrusive incremental data synchronization of multiple large tables with more than 10 billion records, supporting one-key access to more than 30 data sources, and easily meeting the high demand for real-time data synchronization and sharing in the power grid, Finally, a high-speed data channel is built to support application construction.

Ready to Go?

Get Started