How to apply large data in power industry

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? What should be used for reference in the application strategy of electric power industry? Please pay attention to this version of the report.

Large data in the public management, retail, Internet, telecommunications, finance and many other industries to promote rapid expansion of the market scale rapidly, 2012 domestic large data market scale has reached 450 million yuan. IDC predicts that China's big data market will reach $617 million trillion by 2016, with a global scale of $23.8 billion trillion. Large data has penetrated into every industry today and has become an important factor in production. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. Larger data than traditional database system processing capacity, in order to obtain the value of data, must choose a new way to deal with. Power large data is the practice of large data idea, technology and method in power industry, and it is one of the key fields of large data application.

Internal: Optimized management mode

The power industry data quantity is big, the type is many, the value is high, has the high value to the power enterprise profit and the control level promotion. Network experts said that whenever the data utilization rate increased by 10%, it will enable the grid to improve 20%~49% profits. As in the telecommunications industry, the use of large data in the power industry is also divided into internal applications and external applications.

Internal application refers to the use of large data to optimize the management model of power enterprises, improve the management level of power enterprises, mainly including the following aspects.

--Supporting infrastructure decisions

Large data technology is helpful to the decision of infrastructure location and construction of power enterprises. For example, the Danish wind power company Vestas plans to combine global weather system data with company generator data, using data such as temperature, air pressure, humidity, air sediments, wind direction, wind speed, and company history, to support the siting of wind turbines using supercomputers and large data model solutions, To make full use of wind speed, wind, airflow and other factors to achieve maximum power generation, and reduce energy costs. In addition, Vestas will add global deforestation trails, satellite imagery, geo-data and monthly and tidal data to better support infrastructure decision-making.

--Upgrade Customer analysis

On the one hand, by using the huge historical sales data of electric power enterprises, the user power consumption behavior Analysis and User Market segmentation are analyzed, so that managers can optimize marketing organization and improve service mode. On the other hand, through exchanging with the outside data, excavating the relation that the user uses electricity and electricity price, weather, transportation and so on, perfecting the user demand forecasting model, and then providing the decision makers with multi-dimensional, intuitive, comprehensive and in-depth forecast data, actively grasping the market dynamics.

--Improve intelligent control

Large data technology will accelerate the pace of intelligent control of power enterprises and promote the development of smart grid. For example, by arranging sensors for the power infrastructure, dynamic monitoring facilities operation, and based on large data analysis and mining concept and visual display technology means, the integration of online detection, video surveillance, emergency command, inspection and other functions of the "intelligent online monitoring and visualization scheduling management system" to effectively change the operation of the way, From the embryonic stage to eliminate part of the operational dimension of the fault, to achieve the intelligent operation.

--Strengthening collaborative management

Integrated power industry production, operation, sales, management data, to achieve power generation, transmission, substation, distribution, electricity, dispatch, the full link data sharing, to power demand forecasting as the driving optimization of resource allocation, coordination of power production, operation and sales management, improve production efficiency and resource utilization. In addition, the integration of various departments of power enterprises will optimize the internal information communication, so that the financial, personnel and other work more smoothly, help enterprises to carry out fine operation Management, improve the group control level.

External: Enrich Value-added business

External applications refer to the social benefits of using large data from the power industry, mainly including the following.

--rich value-added services

The use of power industry data can provide users with richer value-added services content. For example, by providing users with a TV map of their monthly time-sharing details, users will be able to understand their electricity habits and adjust them as needed, while making the electricity charging process more transparent. With the popularization of wireless machine-to-machine sensor and large data analysis, new tools such as intelligent Thermostat Controller are possible to enter large buildings and consumers ' families, and these technologies will bring great energy-saving space for users in the future.

--Provide economic guidance

As an important economic first data, electricity data is a "vane" of regional economic operation, which can be used as a reference for investment decision-makers. Researchers from the University of California, Los Angeles, according to the large data theory, the population Survey information, power companies to provide real-time user information and geographic, meteorological and other information integrated, designed a "power map." The plot, which is a block unit, can reflect the amount of electricity consumed at all times, and can be compared with the average income of the person and the type of building. By perfecting the "power map", it can reflect the economic situation of the area and the behavior habits of each group more accurately, to assist the investors ' decision-making, and also can provide the basis for the city and power grid planning.

Note: Ensure data quality

The large data age has brought new development opportunities for the power industry, but also raised new challenges. Through good large data management, can effectively improve the power production, marketing and power grid operations and other aspects of the management level. In order to practice large data strategy, the following preparations should be done.

Do a good job of data collection and management. If the data is wrong, outdated, or one-sided, the analysis will be incorrect, and if the data is redundant and confusing, it will increase the difficulty of obtaining effective information and make the data processing inefficient. Therefore, ensuring data quality, normalization and format unification are the foundation of large data application.

Improve relevant technical capability. With high quality data, we need enough data storage, analysis and processing ability to fully and effectively apply the data. Power enterprises should improve the technology of mass data storage, distributed computing, data mining, statistical analysis and data visualization to meet the needs of large data strategy.

Train large power data talents. It is the guarantee of large data strategy to cultivate large data technology professional talents, especially the compound talents of technology and data modeling analysis.

Challenges See requirements: How to extract value from large data

Low quality, poor sharing, defensive fragile, weak foundation, for these power industry to promote large data problems, the telecommunications industry is also familiar with the feeling? Part of these problems, the telecommunications industry also need to ponder, there are some problems, it is precisely the advantages of the telecommunications industry, the telecommunications sector to promote the information technology opportunities.

Data quality is low, data control ability is not strong. In the large data age, data quality and data control ability directly influence the accuracy and real-time of data analysis. At present, the power industry data in the degree of availability of particles, data acquisition timeliness, integrity, consistency and other aspects of performance are not satisfactory, the uniqueness of data sources, timeliness and accuracy needs to be improved, some data still need manual input, collection efficiency and accuracy is still lacking, the industry enterprises lack of complete data control strategy, Organization and control process.

How to extract valuable information from massive data? This is also the problem that the telecommunication industry faces. The idea is that a complex, isolated database can be replaced with an intelligent information infrastructure that allows businesses to capture and store information when they need it. There is also the view that the ability to rely on software can be relied on to identify "junk" data and "valuable" data. The question of which is more effective is still inconclusive. In any case, it is necessary to develop a data collection standards, in time, precision specifications, thus for the follow-up data analysis lay a good foundation.

Data sharing is not smooth, data integration is not high. The essence of large data technology is to mining knowledge from the associated complex data, to enhance the value of data, a single business, type of data, even if the volume is large, lack of shared integration, its value will be greatly reduced. At present, the power industry lacks the industry level data model definition and the main data management, each unit data aperture is inconsistent. There are more serious data barriers in the industry, and there is not enough data sharing between business chains, and the phenomenon of data duplication is more outstanding.

Break the "bias" of the enterprise and establish a resource pool in the industry so that users can get the data resources on demand. From the perspective of the telecommunications industry, now, the cooperation between telecom operators is advancing, for example, operators to develop a converged mobile gaming billing platform, in Beijing Telecom online Business Office micro-letter platform, users can not only query the telecommunications services, but also inquiries Unicom and mobile services, the use of fees, The experience of sharing data resources can also be popularized in the application process of large data.

Lack of defensive ability, the information security faces the challenge. Due to the privacy of many electric power users, large power data have put forward higher requirements for information security. Power enterprises have a wide range of geographical coverage, various types of protection system construction imbalance, information security level is inconsistent, especially in remote areas unit protection system has not been fully established, security needs to be improved. The safety protection means and key protection measures of enterprises in the industry need to be further strengthened, from the current passive defense to multi-level and active defense.

To establish a security and privacy protection mechanism that is compatible with large data, and to ensure data security through technical means and strengthening enterprise self-discipline.

Lack of carrying capacity, infrastructure needs to be improved. The requirement of the power data storage time and the explosive growth of massive power data put forward higher requirements for IT infrastructure. At present, most of the power enterprises have built integrated enterprise-level information integration platform, can satisfy the daily business processing requirements, but its information network transmission ability, data storage ability, data processing ability, data exchange ability, data display ability and data interactive ability can not meet the requirements of power large data, still need to strengthen further.

In this regard, the power industry and telecommunications have advantages. Although the power industry is also in the construction of broadband and intelligent community, but the so-called "surgery industry has specialized" in the IT infrastructure, especially the network infrastructure, the telecommunications industry in the operational dimension, billing and so on have a unique advantage. At the same time, in the construction of data center, power industry has rich experience on energy consumption. Therefore, two industries may wish to strengthen cooperation and achieve win-win situation.

Lack of relevant personnel, professional supply is insufficient. Large data is a new business, the development of large power data requires new types of professional and technical personnel, such as large data-processing system administrators, large data-processing platform developers, statistics analysts and data scientists. However, the lack of such technicians in the current industry and abroad will become an important factor affecting the development of large power data.

We should strengthen the training of large data talents and encourage the innovation in large data field within enterprises. At the same time, the use of manufacturing professionals is also a good way. (Nash)

Strategy: Breaking down industry and enterprise data barriers

From the China Electrical Engineering Society Information Committee published the "China Power large Data Development White Paper (2013)" can be seen, the power industry will be in the following areas to promote large data strategy. These strategies can also be a revelation for the telecoms industry, which is also promoting big data strategies.

Plan ahead and accelerate the demonstration. Set up long-term power large data application strategy, actively carry out prophase research, combined with the nature of power business and development needs, from the data scale, growth, diversification and the needs of data analysis, all-round demonstration of the development direction and road of large power data, the development of medium and long term power data planning, Establish realistic goals and priorities, clear budgets and deadlines.

On the basis of planning, it is oriented to power production, user electricity, enterprise operations, such as large quantities of data in the field, combined with the actual situation, to find the most easily implemented, the most effective, demand the most urgent link, guide industry manufacturers to participate, pay attention to the common needs and characteristics of power industry, rapid development of large power data practice, from simple analysis to in-depth analysis, And then to realize intelligent mining, step-by-step, gradually in-depth.

Data governance, industry sharing. Establish the Power Data control system, define the complete power data control flow and power data responsibility system, and the whole lifecycle management of power data from data acquisition to data processing, data distribution, and data use. On the basis of improving power data management capability, data governance and data quality evaluation are carried out to improve the timeliness, accuracy and completeness of power data.

Break the power industry between enterprises, the data barrier between the business, promote the data open sharing among the power enterprises, construct the unified metadata and master data management platform of the power industry, establish the unified power data model and industry level Power data Center, develop the model and rule base of power data analysis and mining, and excavate the value of large power data, Provide content value-added services for both inside and outside the industry.

Personnel training, ecological construction. Combined with the development of large power data, the industry should consider and unify the planning to develop professional talents, especially power data scientists. We should actively promote the certification of large power data, promote the analysis of competitive enterprise culture, provide development space for large data talents, and provide solid human resource protection for the development of large power data.

Intelligent power, intelligent city. Power large data is the cornerstone of Intelligent city, closely around the development of smart power system to carry out large power data application practice. The main line is to reshape the core value of electric power and change the mode of electric power development. Rebuilding the core value of people-oriented at the macroscopic level, rebuilding the core ability of science development at the meso level, rebuilding the business process with customer demand at the micro level, realizing the electric power industry safer, more economical, greener and more harmonious development.

As covering cities and villages, with the largest artificial network of synchronous transmission of energy and information, intelligent power system has become the foundation and core of future intelligent city construction, based on power fiber to household and electric power communication network, further expands the practice of large power data, and constructs home electric automation and energy efficiency management, integrated information platform of the community, Intelligent city's energy efficiency management platform and Intelligent City Integration Information Service platform, will bring wisdom from the power grid to the community to the city, and finally realize the power development mode and urban development mode of the common transformation.

Links-How does the power industry understand big data?

For example, the large power data is the focus and subset of large data in the power industry. However, the large power data is not only the technological progress, but also involves the whole power system in the big data age development idea, the management system and the technical route and so on the important change, is the next generation intelligent power system in the big Data age the value form jumps.

The characteristics of large power data can be summarized as 3 "V" 3 "E". 3 "V" is a large volume (Volume), a type of multiple (produced) and speed (velocity), 3 "E" is the data namely energy, the data is interactive (Exchange), the data is a common love (Empathy).

The two core lines of large power data are to reshape the power core value and transform the Power development mode. Power large data through the market personalized demand and the enterprise's own benign development of mining, driving power enterprises from the "power production-centric" to "customer-centric" transformation. Power large data through the optimization of power system production operation mode, the elimination of intermittent renewable energy and the guidance to the whole society on the concept of saving and emission reduction can promote the transformation of China's power industry from the extensive development mode of high energy consumption, high emission and low efficiency to low energy consumption, low emission and high efficiency green development mode. In addition, the effective application of large power data can provide high value-added content value-added services for both inside and outside the industry.