Intelligent Internet era, the new form of value, extending the expansion of the product features to make the enterprise boundaries gradually blurred. For electricity enterprises, not only to grasp the time window, select the appropriate direction of development, but also actively adjust to adapt to the new value creation model.

   At the end of May 2017, China's Wuzhen held the "man-machine war", the final AlphaGo to 3: 0 disparity victory over the world's first person Go Jie. In this world-renowned game AlphaGo turned out, so that its developer Google's DeepMind company has been an unprecedented concern, but also to artificial intelligence (Artificial Intelligence) once again become a hot topic.




Artificial Intelligence (AI) is an emerging technology science that studies the development of theories, methods, techniques and applications for simulating, extending and extending human intelligence. With the maturity of theory and technology, the impact of current artificial intelligence is not limited to a few local areas, but a profound impact and change almost all industries, led us into a new era of intelligent interconnection.




In the industrial sector, the application of intelligent technology can bring significant benefits to enterprises, reflected in the promotion of productivity, improve product quality, improve security, reduce volatility and improve customer satisfaction and so on. For example, Rio Tinto has increased efficiency by 10-20% through the use of intelligent unmanned trucks and drilling machines in the Pilbara iron mine project in Australia. Google Data Center using its DeepMind machine learning artificial intelligence technology, can effectively save 40% of energy consumption. According to the McKinsey Global Institute "man-machine coexistence of the new millennium" analysis predicts that the future of artificial intelligence, automation and other technology applications each year to improve global productivity 0.8-1.4%.

Artificial intelligence in the field of energy cross-integration will also play an increasingly important role. Bill Gates in a recent speech focused on that artificial intelligence, new energy and biotechnology three areas will be the future vane. The ability of intelligent products to learn in depth is amazing, and it is conceivable that artificial intelligence will be the "container" of human intelligence that will make future production life more efficient and creative. At the same time, people on the safe economy, clean and sustainable energy demand is also growing, the urgent need for energy technology and institutional mechanisms continue to innovate.




The prelude to the smart interconnection era has been opened. For the power companies, not only to grasp the time window, select the appropriate direction of development, but also actively adjust to adapt to the new value creation model, and in the process of continuous exploration and build a new competitive advantage.




A New Framework for Enterprises in the Age of Intelligent Interconnection




Smart Internet era, a wide range of intelligent products and applications are connected to all the new value form, extending the extended product features make the enterprise's boundaries gradually become blurred. Professor Liao Jianwen recently published in the "Harvard Business Review" article that, in the new context, more suitable for "end" "network" "cloud" new framework to replace the traditional industry, enterprise boundary analysis framework. In the new business ecology, these three are playing different functions, and interconnected, relying on each other, together constitute the main ecological structure of the ecological level.




"End", in the intelligent ecosystem is the scene can be the interaction of contacts, but also based on system feedback to improve service fulcrum. On the one hand, the "end" play the role of contact, the different scenes of various types of equipment and user behavior data acquisition, sorting and mining. The development of Internet of Things technology, and further extended to any items and items can be exchanged between information and communication, so as to achieve the intelligent identification of items, positioning, tracking, monitoring and management functions laid a solid foundation to see Can be seen, tangible physical products in the embedded digital module can be aware of the external environment, a new entry into the information. For example, the software client and the app can record accurately based on the user's click, open, and dwell time on each page, creating user preferences and providing precise push; the industrial manufacturing system, after adding the digital module, not only monitors the operating status of the device , Timely maintenance updates, you can also record the accumulation of production data, to optimize the production system to provide valuable data.




On the other hand, the "end" direct docking users, after the system feedback can provide more quality services, thereby enhancing customer satisfaction. In the intelligent ecosystem, whether it is to enhance efficiency or optimize the experience, and ultimately reflected in the terminal. For example, Schneider Electric's next-generation EcoStruxure platform provides large-scale solutions for power distribution users to manage equipment operations such as low-voltage circuit breakers from the field or cloud platform. With the increase of the collected data, the algorithm optimization can improve the operation efficiency further, so as to provide a more perfect solution on the terminal.




"Network", not just the physical form of the network connection, more emphasis is to achieve the synergistic value of the network effect. To a more reasonable structure and flexible networking, to achieve the various "end" between the convergence of interaction. For example, in the field of intelligent manufacturing, the flexible manufacturing system under the concept of industrial 4.0 interacts with each other through the triggering interaction between the end and the end to achieve automatic connection and adjustment from order, design, processing to assembly, inspection and delivery. Enhance the production efficiency of flexible manufacturing system.




In addition, the "network" is also reflected in the connection and leveraging internal and external resources, in different network nodes to establish contact between to create value. The process of enterprise value creation is no longer a single linear value chain that relies on its own core resources, but needs to play an ecological advantage based on the value network composed of all the members of the network node. For example, ChargePoint, electric pile and other domestic and foreign car networking platform companies through the creation of ecosystem "network", the user, the charging station operators, electric car manufacturers, real estate business effectively integrated together. For the charging station operators to provide cloud platform energy measurement and management, to provide users with different models of the test drive experience, enhance the user sticky, and real estate profits into cooperation with the introduction of apartment piles and so on. By building an attractive network, attracting a large number of complementary players to actively participate in the construction of the value chain.




"Cloud", not only to provide data storage and computing and other basic functions, more importantly, as the entire system of the brain, in an intelligent way to tap the depth of data value, giving the whole system to optimize the ability to optimize iterative and learning evolution. In this intelligent system, the terminal to provide data collection of materials, and further by the network to play the transfer, stacking and other synergies, and ultimately by the intelligent cloud platform using advanced algorithms and other technical advantages, diagnostic analysis, forecasting, providing high quality Of the products and services, constitute a complete system closed loop.




For example, Google's DeepMind uses artificial intelligence to build cloud platforms that use neural network pattern recognition systems to predict changes in electricity usage by manipulating computer servers and associated pumps, cooling towers, chillers, dry coolers, etc. Cooling system to help companies save 40% of the energy, Google's overall energy efficiency by 15%.




How to speed up the transformation of development




At present, the smart Internet era of emerging technology development and application of accelerating, its representative of the commercial potential and value creation model will also profoundly affect the power companies. And actively grasp the development opportunities of intelligent Internet era, can bring a lot of benefits for the power companies, you can proceed from the following aspects:




First, efforts to build by the energy acquisition system and the use of equipment components of the terminal. Active use of Internet of things, wear equipment, robots and other intelligent mobile terminal technology to optimize the energy system sensor, information, communication, control and other components of the layout, in different situations to collect, access to massive data information, and constantly strengthen the state real-time perception And information feedback. For example, through the sensor embedded in the equipment to collect transmission, substation equipment status information, combined with intelligent inspection technology to establish equipment status monitoring database and fire, wind, rain and other external public information interface, the weather, municipal and other relevant data Into the equipment status monitoring database; the use of integrated camera, infrared thermometer, range finder, mobile phones, mobile equipment and many other features of the AR helmet, carry out transformer maintenance, equipment, panoramic state information acquisition and operation and maintenance operations dynamic interaction, And finally to achieve the production, operation and maintenance of the state of the equipment and real-time record and update, give full play to the "end" of the role of contact for the data based on the situation to achieve product and service innovation and lay a solid foundation.




Second, the construction of integrated energy service network to play a synergistic effect. Taking power grid enterprises as an example, this paper builds a comprehensive energy source based on the smart grid, which is interconnected with various types of networks such as heat pipe network, natural gas pipeline network and transportation network, and coordinated operation of various energy forms, centralized and distributed energy The internet. Play a smart self-healing, flexible networking features, so that it can support the distributed power supply, micro-grid, smart terminal plug and play demand, as the basis for carrying business services.




In the power grid business, based on massive user behavior data, user classification, in the virtual power plant, integrated energy solutions, contract energy management, customization and other aspects of energy to actively expand; in equipment manufacturing, promote intelligent, green and flexible electrical Equipment manufacturing, intelligent network connection equipment supply, manufacturing, maintenance of the various links in the maintenance of the use of large data for machine self-learning, and further upward traceability for pre-equipment manufacturers to provide optimization recommendations to improve the production of flexible and market responsiveness.




Third, build a data-driven intelligent cloud platform. In the intelligent operation, based on the integrated data of power transmission and transformation equipment, the establishment of a unified and coordinated, scientific and efficient production and operation of the transmission and distribution equipment life cycle management system, based on large data and machine learning to provide more lean assets Operation and increasingly accurate operation and maintenance program; in the energy supply and demand balance, can learn from the prospective energy, energy OS as the core to build the operating system platform, the energy supply side to achieve the wind power generation power forecast, and can penetrate to the front Product design optimization, reduce the life cycle cost; in the demand side to strengthen the regional side of the load capacity analysis, to achieve the source - network - the depth of interaction, to promote operational efficiency and new energy consumption capacity.