As a major national energy support system, the power industry has more and more applications. The increasingly stringent environmental supervision requirements and the adjustment of energy policies in various countries have put forward requirements for energy conservation, greenness, safety, self-healing, and reliable operation of the power system. Traditional power networks have been unable to meet these requirements. With the application and popularization of Internet, cloud computing, and Internet of Things technologies, "big data", known as another disruptive technological revolution in the IT industry, was born. Electricity + big data has become a way out for the electric power system to respond to new demands and new situations. As early as 2006, the national "SG186 Project" put forward the goal of building the national power grid into an "integrated enterprise-level information integration platform" to ensure that the data of the power grid can be "entered in one place and used by the entire network", which is the truth of information. Security, consistency and completeness are guaranteed. Power data in the industry mainly involves the data of various links of power production and power services, from power generation, transmission, transformation, distribution, power consumption to dispatch, each link generates massive data, such as energy benchmark parameters in the power generation process of power plants , Electric energy production, operation monitoring and equipment maintenance and other data; user information and power market information in the operation of electric power enterprises; data such as talents, materials, collaborative office, and capital operation in the management of power distribution companies, which together constitute a multi-source, heterogeneous , Multi-dimensional and multi-form power data resources. At the same time, the data of the power system also meets the "big" characteristics of big data: the conventional SCADA system is calculated at a sampling interval of 3-4S, and 10,000 collection points can generate 1.03TB of data a year; State Grid Corporation’s 240 million smart meters per year The amount of data generated is about 200 TB; and the total amount of data in the disaster recovery center of the entire State Grid Corporation's information system is close to 15 PB. Not only that, GIS, EMS, DTS and other systems are also generating, transmitting and storing data at any time. With the continuous expansion of electric energy application fields and the deepening of electric power informatization, electric power data is growing at an unprecedented speed. How electric power data can serve smart grids, smart cities, and energy conservation and emission reduction has become a research topic all over the world. In my country, due to the informatization construction process of power dispatching centers at all levels, various units and departments are advancing in a phased and functional manner, and the lack of standardized regulations for data output has caused the power grid to accumulate a large amount from the day it was born. Power grid parameters with different storage methods, different data models, and different coding rules are used. These data have both simple file databases and complex network databases, which constitute the heterogeneous data source of the power grid. Bowei Software’s original heterogeneous big data fusion technology does not require interface docking between multiple software. It collects multi-source heterogeneous data between various systems directly based on the windows environment and outputs structured data in real time. This technology is widely applicable to data needs. Convergence and data migration in various industries. In the power system, Bowei software can carry out the life cycle management of power assets, marketing and distribution coordination management, thereby gradually forming a data-centric enterprise information management system, promoting the sharing of data resources, and giving play to the value of big data. The value of electric power big data is that by mining the relationships and laws between data, it will have a disruptive effect in ensuring power supply sufficiency, optimizing power resource allocation, and assisting government decision-making, energy utilization, etc.: Through the analysis of the characteristics of power users, the law of power consumption is found, and the power supply is predicted from the demand side, thereby guiding power production, changing the existing way of responding to emergency situations with a certain amount of rugged backup capacitors, and increasing the utilization rate of power. At the same time, the analysis of users' electricity consumption habits is also conducive to the conduct of electricity marketing. Through power big data, we can clearly know the distribution and power usage of the national power grid, discover the unreasonable phenomenon of the grid layout or the power generation, transmission, and transformation links, and let the government make relevant decisions based on data to change the "brain head" decision. The solution model makes the power grid more scientific and smarter. Due to the characteristics of full life cycle and full system coverage, power big data can discover problems between power production and power services through the data, prevent large-scale power outages, and ensure the stability of power supply and the speed of power recovery during disasters. In terms of providing a strong backing. Electricity, as an indispensable basic energy system in production and life, is a hub link in building a green, energy-saving, and convenient smart city system and the development of a large energy system of "clean replacement of disposable energy and electric energy replacement of terminal energy". The power big data of China is undoubtedly the "core" of the hub, and it plays a role in moving the whole body. Air Coil,Air Core Inductor,Air Coil Inductor,Copper Wire Coil Shaanxi Magason-tech Electronics Co.,Ltd , https://www.magason-tech.com
