From conception to practice, from demonstration to pilot, the big data application of State Grid Corporation of China has been heading for the fast lane.
At the work conference of State Grid Corporation of China in 20 14, the party group of the company clearly proposed to strengthen data analysis and improve the application level and commercial value of data. At the end of last year, State Grid Corporation of China officially launched the design, development and pilot construction of enterprise-level big data platform on the basis of summarizing the previous research experience. After nearly a year of pilot practice, at present, big data has been widely used in power grid operation, management and quality service, and achieved remarkable results.
As an important strategic resource, big data has reached a global consensus. 20 1 1, some international organizations released reports optimistic about big data; Since 20 12, Britain, France, the United States and other countries have successively launched big data development plans. In China, the wave of informatization led by big data is fierce. In March last year, big data was written into the government work report; In August this year, the State Council released the Action Plan for Promoting Big Data Development, with special emphasis on enhancing entrepreneurial innovation and social governance vitality through the development of big data; In June 5438+this year 10, the Fifth Plenary Session of the 18th CPC Central Committee proposed to implement the national big data strategy. Nowadays, in 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. The era of big data has arrived.
Opportunity is knocking at the door.
Seizing the opportunity is half the battle. The same is true of big data.
In recent years, the emergence of mobile Internet has accelerated the extension of informatization to various fields of economy and society, and formed a unique industrial competitive advantage. The Report on China's Big Data Development in 20 15 recently released by China Information and Communication Research Institute predicts that the size of China's big data market will reach 1 159 billion yuan this year, with a growth rate of 38%. It is predicted that from 20 16 to 20 18, China's big data market will maintain a high growth rate of about 40%.
At the recently concluded Yun Qi conference, Ma Yun, Chairman of the Board of Directors of Alibaba Group, said that in the future, computing power will become a kind of production capacity, and data will become the largest means of production and a public resource like water, electricity and oil. Ma Yun believes that human beings have entered the DT (Big Data) era, and data has replaced oil as the core resource.
Wang, director of the Information and Communication Department of State Grid Corporation of China, believes that it is undeniable that big data will gradually create more value for mankind. For power grid enterprises, the research and application of big data is an urgent requirement to improve quality and efficiency, and promote the transformation of power grid development mode and company development mode.
The company's "three sets and five big" system and powerful smart grid construction have accumulated operational data with typical big data characteristics such as large capacity, multiple types, high value and high speed, and have the basic conditions to promote the application of big data.
According to the data of Smart Grid Research Institute of State Grid, by the end of last year, the company managed 49.75TB of structured data, 2 13TB of unstructured data, 43TB of marketing basic data and 43tb of electricity consumption information collection data, and the company's informatization data grew at an average rate of 10tb every day.
"The company's production management and marketing system has reached the data scale of several hundred petabytes. Carrying out research, verification and application of key technologies of big data and building a new operation system of power grid enterprises will help to enhance value creativity and core competitiveness. " Wang Hailin, deputy chief engineer of State Grid Jiangsu Electric Power Company, stressed.
As one of the pilot units of the company's big data application, State Grid Jiangsu Electric Power tasted the "sweetness" of big data this summer.
State Grid Jiangsu Electric Power takes the data collected by users as samples for load forecasting. Wang Hailin said: "In April this year, we used big data to predict that the maximum load this year will be 84.4 million kilowatts on August 6. In fact, the maximum load value is 84.8 million kilowatts on August 5, and the prediction accuracy rate is 99.53%. "
As the head of the main lead department of big data research and implementation of State Grid Corporation of China, Wang is particularly happy with this prediction result. "At the beginning of the forecast, we also had doubts in our hearts. After all, there is no experience to learn from, but the final result is so accurate, which proves that we have 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 thousand traffic requests every day. In order to further improve the connection rate of manual service and reduce the waiting time of customers, the customer service center has established scene applications such as "real-time traffic display and prediction" and "active service based on users' perception of fault events" relying on big data technology, and the work efficiency has been significantly improved. For example, through the application of real-time traffic display and scene prediction, the connection rate of manual service has increased by about 8%, and the service efficiency and effect have been further optimized.
The advantages of big data are not only reflected in service companies, but also in supporting new energy access, improving the accuracy of new energy power generation and power load forecasting, improving the coordination and regulation level of new energy and comprehensive energy service capabilities.
Wang believes that big data is the core of smart grid, and smart grid is an important part of the development of global energy Internet. With the in-depth application of big data, the company's decision-making will be changed from "business-driven" to "data-driven", which will further improve the efficiency and effectiveness of management. At the same time, making full use of these grid-based data and digging out many high value-added services through in-depth analysis will be beneficial to power grid safety detection and control, customer electricity consumption behavior analysis and customer segmentation, refined operation management of power enterprises, and improve the management, economic and social benefits of the company.
"No matter from the external environment or the development needs of the enterprise itself, big data is not a problem of use, but a trend that must be used." Wang said with emotion. He said that he has been engaged in the power communication industry for more than 20 years, and the industry has changed too much. Today is different from the past. "The data is information on the surface, but after refining and analysis, we can find out the relevant laws, and then use various tools to analyze the laws and become decisions. Big data is rich in content and can be used in many fields. This is a huge market. Mastering big data will occupy the big market. "
Are you ready?
Throughout the global trend, the wave of big data has swept through. As one of the greatest scientific and technological achievements in the world, big data has become an important force to promote industrial transformation and reshape industrial competitiveness. Taking advantage of the trend and taking advantage of the trend is undoubtedly the core proposition of the era of big data.
Big data of State Grid Corporation of China has the characteristics of large quantity, wide distribution and many types, which reflects the information of power grid operation mode, power production mode, customer consumption habits and so on. If these valuable data can be well mined and analyzed, the real value of big data will be released. For example, using big data to analyze the relationship between the number of new power customers and regional economic development; Macro-economic trend viewed from electricity consumption.
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, but it is not easy to dig gold. "Big data is a great test of wisdom."
Data storage is undoubtedly an important part of mining big data "gold mine". Storage is the core of big data, especially in the era of big data, with 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 millions or even tens of millions in some power distribution and data centers. At present, most of these data are stored in relational databases. With the continuous improvement of intelligence, the requirements for database processing ability, storage space and query ability will be higher. At the same time, with the deepening of the company's informatization construction, the amount of data generated by business systems has exploded, and some business systems are facing problems such as high storage upgrade cost and slow system response.
In order to solve these problems, on the one hand, the company analyzes the current situation of business system data in detail, and archives a large number of historical data based on big data platform, which continuously improves the system access efficiency and saves the system storage cost; On the other hand, it analyzes the business system architecture and introduces big data technology to solve the problem where the system access bottleneck may be caused.
Security is another aspect that can't be ignored in mining the value of power grid big data. Because the power grid big data involves the privacy of many power users, and the geographical coverage is extremely extensive, the security issue is more prominent. Wang said that the company's big data will be planned, designed and put into operation synchronously according to the principle of hierarchical management, and according to the importance and enjoyment of the data, which can be opened and which need to be used in logical isolation will be determined, thus ensuring the security of the cloud-based data system.
In addition, Sun Yixin, a senior researcher at the Management Consulting Institute of State Grid Energy Research Institute, believes that in a safe situation, making good use of big data should take the extension of the electric energy value chain as the main line to realize the extension of the business value chain to the outside of the power grid. On the one hand, on the basis of data analysis of power supply, demand and customer load characteristics, we pay attention to user data mining and value discovery. Using big data technology, we can narrow the distance between the company and users in demand side management, home energy management, energy-saving services, smart home, 95598 customer service and other businesses, and tap the characteristics of user behavior; On the other hand, from supporting internal management to providing external services, data assets are realized as a product or service.
Wang believes that big data applications need to continue to deepen, including how to achieve internal and external data integration and reduce barriers; How to build a compound talent team with information power and data analysis ability? As a new thing, big data is at different stages of development, and the content of research and thinking is different. "Only by finding problems can we help solve them and guide us on the right path."
After repeated research, exploration and pilot, the value of the company's big data is gradually becoming prominent. For example, the company uses big data technology to conduct online monitoring and analysis of business indicators such as line loss and electricity consumption. At present, it has been applied in some provinces (autonomous regions and municipalities directly under the Central Government) companies. In addition, 30 days before and after the Spring Festival this year, the company applied big data analysis method to analyze the power consumption during the Spring Festival from the perspectives of power consumption category, power grid load and quality service, forming 65438. "Integrating data such as population, economy and electricity consumption through big data can accurately reflect regional economic development and consumption habits of power users, which will greatly enrich the content of power value-added services." Sun Yixin said.
The curtains have been opened.
"At present, the company's big data research and pilot work has achieved initial results, but this does not mean that the research and application of the company's big data has come to a successful conclusion. On the contrary, big data is in progress and there is still a lot of work to be done in the future. " Wang stressed.
On September 14, the company released an action plan to promote the innovation and development of smart grid and "one strong and three excellent" modern companies, emphasizing the need to speed up the construction of enterprise-level big data platforms for various majors, actively carry out the design of big data application scenarios, make good use of big data and give full play to its value.
Based on the company's development strategy, the company's big data application prospects are bright in the future. "At present, the central government proposes to implement the national big data strategy, and the company is in a new journey of building a global energy Internet. The task of informatization is heavy. Making good use of big data, tapping the value of big data and promoting the wide application of big data in enterprise systems are important guarantees for building a global energy Internet. " Wang said to him.
At present, the company has built a unified big data platform covering headquarters and provincial companies. With the trial operation of enterprise-level big data platforms in Shandong, Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Sichuan Electric Power, customer service centers and other pilot units. Power grid business data has begun to take shape in terms of total volume and types, and the next key is to do a good job in the analysis of big data.
At present, the power grid business data can be roughly divided into three categories: first, the production data of power enterprises, such as power generation, voltage stability and other data; The second is the operation data of power enterprises, such as transaction price, electricity sales, electricity customers and other data; The third is the management data of power enterprises, such as ERP, integrated platform, collaborative office, etc.
With the advancement of information construction and the development of new energy, there will be more demand for big data applications in the next stage, including the correlation between company big data and other industry data, and the relationship with economic and social development. The company has very good conditions and foundation to realize greater information and knowledge discovery from the perspective of data operation and maintenance, so as to provide data-based operation and maintenance services, create value-added data, further promote the transformation of power grid development mode and company development mode, build a global energy Internet for the company, promote the implementation of the national big data strategy, and provide stronger and longer-term support.
The above is what Bian Xiao shared for you about the application of big data by State Grid to enhance the core competitiveness of enterprises. For more information, you can pay attention to Global Ivy and share more dry goods.