State Grid’s Big Data Application Enhances Enterprise’s Core Competitiveness

State Grid’s big data application enhances the core competitiveness of enterprises

From conception to practice, from demonstration to pilot, State Grid’s big data application has moved on to the fast lane.

At the State Grid Corporation of China’s 2014 work conference, the company’s party group clearly proposed that data analysis should be strengthened and data application levels and commercial value should be improved. At the end of last year, State Grid Corporation of China officially launched the design, development and pilot construction of an enterprise-level big data platform based on summarizing previous research experience. After nearly a year of pilot practice, big data has been widely used in the three fields of power grid operation, business management and quality services, and has achieved remarkable results.

Big data has reached global awareness as an important strategic resource. In 2011, some international organizations issued reports that were optimistic about big data; starting in 2012, the United Kingdom, France, the United States and other countries have successively launched big data development plans. In China, the informationization wave led by big data is approaching fiercely. In March last year, big data was included in the government work report; in August this year, the State Council issued the "Action Outline to Promote the Development of Big Data", which particularly emphasized the development of big data to enhance the vitality of entrepreneurship and innovation and the level of social governance; in October this year, the The Fifth Plenary Session of the Eighth Central Committee of the Communist Party of China proposed to implement the national big data strategy. Nowadays, in the fields of urban construction, finance, e-commerce, public services and other fields, the application of big data can be seen everywhere and is changing all walks of life. An era of big data has arrived.

Opportunity is knocking

Seizing the opportunity is half the battle. The same is true for big data.

In recent years, the mobile Internet has emerged as a new force, accelerating the extension of informatization into various economic and social fields, and forming unique industrial competitive advantages. The "2015 China Big Data Development Survey Report" recently released by the China Academy of Information and Communications Technology predicts that the size of China's big data market will reach 11.59 billion yuan this year, with a growth rate of 38%; it is expected that from 2016 to 2018, the size of China's big data market will also reach 11.59 billion yuan. Maintain a rapid growth rate of around 40.

At the recently concluded Yunqi Conference, Jack Ma, chairman of the board of directors of Alibaba Group, said that in the future, computing power will become a production capacity, and data will become the largest means of production, which will Become a public resource like water, electricity, and oil. Jack Ma believes that mankind has entered the DT (big data) era, and data has replaced oil as the core resource.

Wang Jiye, director of the Information and Communications Department of the State Grid Corporation of China, believes that it is undeniable that big data will gradually create more value for mankind, and for power grid companies, the research and application of big data is an important step in improving quality and efficiency. It is an urgent requirement to promote the transformation of power grid development methods and company development methods.

The company's "three sets and five majors" system and strong smart grid construction have accumulated operational data with typical big data characteristics such as large volume, multiple types, high value, and fast speed, and have the ability to promote big data applications. Basic conditions.

Data from the State Grid Smart Grid Research Institute shows that as of the end of last year, the company managed 49.75TB of structured data, 213TB of unstructured data, 130TB of basic marketing data, and 43TB of electricity consumption information collection data. The company's information data is growing at an average rate of 10TB every day.

“The company’s production management and marketing systems have reached hundreds of petabytes of data scale. We carry out research, verification and application of key big data technologies and build a new power grid enterprise operation system, which helps to enhance value creativity. and core competitiveness." Wang Hailin, deputy chief engineer of State Grid Jiangsu Electric Power Company, emphasized.

State Grid Jiangsu Electric Power, as one of the company's pilot units for big data applications, tasted the "sweetness" of big data this summer.

State Grid Jiangsu Electric Power uses user information collection data as samples to carry out load forecasting work. Wang Hailin said: “In April this year, we used big data to predict that August 6 would usher in this year’s maximum load value of 84.4 million kilowatts. In fact, the maximum load value of 84.8 million kilowatts occurred on August 5, with a prediction accuracy of 99.53.

"

As the head of the main leading department of big data research and implementation of State Grid Corporation of China, Wang Jiye is particularly happy with such a prediction result. "We also had doubts in our hearts at the beginning of the prediction. After all, we have no experience. However, the final result is so accurate, which proves that we have and mastered the theoretical basis of big data in load forecasting and the ability of data analysis and mining. ”

Similarly, the State Grid Customer Service Center has also felt the power of big data. At present, the customer service center handles more than 350,000 call requests per day. In order to further improve the manual service connection rate and reduce customer Waiting time, the customer service center relied on big data technology to establish scenario applications such as "real-time traffic display and prediction" and "proactive service based on user perception of fault events", which significantly improved work efficiency. For example, through the application of real-time traffic display and prediction. In the predicted scenario, the manual service connection rate has increased by about 8, and the service efficiency and effect have been further optimized.

The advantages of big data are not only reflected within the service company, but also in supporting new energy access and improving new energy. There is also great potential for improving the accuracy of power generation and load forecasting, improving the level of coordinated control of new energy and comprehensive energy service capabilities.

Wang Jiye believes that big data is the core of smart grids, and smart grids are the global energy source. An important part of the development of the Internet. With the in-depth application of big data, the company's decision-making will be transformed from "business-driven" to "data-driven", further improving the efficiency and effectiveness of management. At the same time, making full use of these power grid-based data, in-depth After analysis, many high value-added services will be discovered, which will be beneficial to power grid security detection and control, customer power consumption behavior analysis and customer segmentation, refined operation management of power companies, etc., and improve company management efficiency, economic benefits and social benefits.

“Whether it is from the perspective of the external environment or the development needs of the enterprise itself, big data is not a question of whether to use it or not, but to follow the trend and must use it. "Wang Jiye said with emotion. He said that he has been engaged in the power communications industry for more than 20 years, and the industry has changed so much that today is no longer the same as in the past. "On the surface, the data is information, but after refining and analyzing it, you can find relevant patterns. , and then analyzing the rules with the help of various tools becomes decision-making. Big data is rich in content and can be used in many fields. It is a huge market. Seizing big data means occupying a large market. ”

Are you ready?

Looking at the global trend, the wave of big data is sweeping across the world. As one of the greatest scientific and technological achievements in the world, big data has become an important factor in promoting industrial transformation and An important force in reshaping industrial competitiveness. Following the trend and taking advantage of it are undoubtedly the core propositions in the era of big data.

State Grid's big data is large in volume, widely distributed, and of many types. These characteristics reflect information such as power grid operation methods, power production methods, and customer consumption habits. If these precious data can be mined and analyzed well, the real value of big data will be released. For example, big data can be used to analyze new electricity consumption. The relationship between the number of customers and regional economic development; macroeconomic trends from the perspective of electricity consumption, etc.

Deng Chunyu, a senior engineer at the Technology Strategy Research Center of China Electric Power Research Institute, believes that big data is like a gold mine. However, it is not easy to dig out gold. "Doing big data requires wisdom."

Data storage is undoubtedly an important part of mining the "gold mine" of big data. Core, especially in the era of big data, has complex application requirements and higher storage requirements. In fact, with the deepening of smart grid construction, there are more and more information collection points, reaching hundreds of collection points in some power distribution and data centers. Tens of thousands or even tens of millions. At present, most of this data is stored in relational databases. With the continuous improvement of intelligence, the requirements for database processing capabilities, storage space, query capabilities, etc. will be higher. At the same time, as the company continues to improve. As informatization construction continues to deepen, the amount of data generated by business systems is growing explosively. Some business systems face problems such as high storage upgrade costs and slow system response speeds.

In response to these problems, on the one hand, the company conducted a detailed analysis of the current status of business system data, and carried out historical data archiving based on the big data platform for a large amount of historical data, continuously improving system access efficiency and saving system storage costs; On the other hand, we analyze the business system architecture and introduce big data technology to solve problems that may cause system access bottlenecks.

Security is another aspect that cannot be ignored when mining the value of power grid big data. Since the big data of the power grid involves the privacy of many power users and has extremely wide geographical coverage, security issues are more prominent. Wang Jiye said that the company's big data will be planned, designed, and put into operation simultaneously in accordance with the principle of hierarchical management. Based on the importance of the data and the degree of sharing, it will be determined which ones can be opened and which ones require strong logical isolation. Used to ensure the security of data systems based on the cloud.

In addition, Sun Yixin, a senior researcher at the Management Consulting Institute of the State Grid Energy Research Institute, believes that under the condition of ensuring safety, making good use of big data must focus on extending the power and energy value chain to realize the business value chain. External extension of the grid. On the one hand, based on data analysis of power supply, demand, customer load characteristics, etc., it focuses on data mining and value discovery for users. Use big data technology to shorten the distance between the company and users in demand-side management, home energy management, energy-saving services, smart homes, 95598 customer service and other businesses, and explore the characteristics of user behavior; on the other hand, shift from supporting internal management to providing External services that monetize data assets as a product or service.

Wang Jiye believes that there are aspects that need to be further deepened in big data applications, including how to achieve data integration between internal and external, internal and external, and reduce barriers; how to establish a team with informatization, power, data Comprehensive talent team with analytical capabilities, etc. As a new thing, big data is at different stages of development and the contents of research and thinking are also different. "Only by discovering problems can we help solve them and guide us to the right path."

After repeated research, exploration and pilots, the value of the company's big data is now gradually becoming apparent. For example, the company uses big data technology to conduct online monitoring and analysis of operating indicators such as line loss and power consumption. At present, it has been applied in companies in some provinces (autonomous regions and municipalities directly under the Central Government). In addition, during the 30 days before and after the Spring Festival this year, the company applied big data analysis methods to some provincial (autonomous regions and municipalities) companies and 333 prefecture-level city companies to collect 275 million electricity customers and 14.5 billion pieces of electricity information. The Spring Festival electricity consumption situation was analyzed from the perspectives of electricity consumption category, power grid load, quality service, etc., resulting in more than 110,000 analysis results. "Integrating population, economic, electricity consumption and other data through big data can accurately reflect regional economic development and the consumption habits of electricity customers, which will greatly enrich the content of electric power value-added services." Sun Yixin said.

The curtain has opened

“Currently, the company’s big data research and pilot work has achieved phased results, but this does not mean that the company’s big data research and application has been completed. On the contrary, big data is in progress, and we still have a lot of work to do in the future," Wang Jiye emphasized.

On September 14, the company released new information and communication technologies to promote smart grids and the "One Strong, Three Excellent" modern company innovation and development action plan, emphasizing the need to accelerate the construction of enterprise-level big data shared by all majors. Platform, actively carry out big data application scenario design, make good use of big data, and give full play to the value of data.

Based on the company’s development strategy, the company’s big data application has bright prospects in the future. "Currently, the central government has proposed the implementation of the national big data strategy, and the company is on a new journey to build a global energy Internet, with heavy informatization tasks. Make good use of big data, tap the value of big data, and promote the widespread application of big data in company systems. , is an important guarantee for building a global energy Internet," Wang Jiye said.

At present, the company has built a unified big data platform covering the headquarters and provincial companies. As the enterprise-level big data platforms of State Grid Shandong, Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Sichuan Electric Power and customer service centers and other pilot units went online for trial operation.

Power grid business data has begun to take shape in terms of total volume and type. The next key is to conduct various analyzes of big data.

Currently, power grid business data is roughly divided into three categories: first, power enterprise production data, such as power generation, voltage stability, etc.; second, power enterprise operational data, such as transaction price, electricity sales , data on electricity customers, etc.; third, power enterprise management data, such as data on ERP, integrated platforms, collaborative office, etc.

With the advancement of informatization construction and the development of new energy, more big data application needs will emerge in various majors in the next stage, including the correlation between company big data and other industry data, and the relationship between economic and social development. Relationships etc. The company has very good conditions and foundation to realize a greater degree of information and knowledge discovery from the perspective of data operation and maintenance, so as to provide operation and maintenance services based on data, create data value-added value, further promote the transformation of the power grid development mode and the company's development mode, and provide the company with Build a global energy Internet, promote the implementation of the national big data strategy, and provide stronger and longer-term support.

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