How should the power big data strategy plan be planned?

As the oldest communication company in China, and the first to propose to be the leader of the industry Internet, this is the first time that AsiaInfo has comprehensively combed energy big data, pointing out the problems of energy big data, the value goal of energy big data, and more important. They gave a very complete strategic plan for power big data. More than 5,000 words, very long, but really worth watching. No time to? You can collect it first, find a complete time and read it again. The leaders of the energy industry, remember to start laying out early.

Wonderful view

1. The value objectives of big data are different in different parts of the value chain. In the power generation segment, big data should serve the economical, efficient and clean environment of the power generation; in the power transmission and transformation, big data should serve a strong smart grid; in the power sector, big data should serve intelligent interaction.

2. The power industry feels like a relatively independent energy industry, but it is actually related to other industries, including real estate, finance, smart communities, and smart municipalities. The convergence of data from various industries is the way we want to increase the application of power big data in the future, but the data of other industries is still difficult to obtain.

3. How much data and grid data of the five major power generation groups can be coordinated, how can they be integrated, and there is no way to do it now, but the future is definitely a development trend, but this kind of inter-enterprise exchange in the industry. Still less.

4. How to build and operate this data connection platform is the key to recreating China's power core capabilities. The big data cloud computing platform of the power industry has to produce three aspects of ecology. On the one hand, the power system data ecology, on the other hand, the power system application ecology, the third is the product ecology.

5, the data ecology is well understood, is the IaaS and PaaS layer in the cloud computing platform, the data is stored and processed through the platform to form a technical framework. The resource integration of the development side is to aggregate the developers and comprehensively serve the Chinese power industry to form our application ecology. Once we have formed our power data ecology and application ecology, the corresponding application products, as well as platform-level products, cloud platform-level products, including infrastructure products, big data platforms, etc., can be formed based on the previous ecology. Promote the ecology of our products.

6, we not only need to help companies to achieve his own enterprise data warehouse, industry data warehouse and other data application development. In addition, we also need to integrate internal and external resources to enhance the vitality of the entire ecosystem. In the process of resource integration, we can establish a rules system for data transactions. We can realize the existing profitable data products and form a new profit growth point with data products as the core. This is achievable.

The following is the full text of the finished speech:

Massive data deposited in the power industry

The power industry generates a large amount of data in the whole process value chain, including transmission, transmission, distribution, use, and scheduling. Each link has a large amount of data, and the data is very valuable.

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