- Release Date: 2019-09-09 Source: Company News Views: 145
Provincial power grid operation status, recent power supply and demand situation and peak-valley periods, the entire process of power purchase and sales business, substation operation sites... On large display screens, this information can be monitored in real time and controlled online through curves, images, and other means. "This is the application of our electric power big data, playing the roles of 'clairvoyant', 'clairaudient', 'iron abacus', and 'early warning aircraft'," said the head of the State Grid Hunan Electric Power Operation Monitoring (Control) Center. The company has spent 10 years building an information network covering provincial substations, power supply stations, and service grids, establishing a big data analysis platform and analysis models. By integrating business data such as power grid development, construction, operation, electricity prices and fees, customer service, and power quality, it comprehensively monitors and analyzes the company's power purchase and sales business and key performance indicators.
Electricity data is a "barometer" of economic and social development. Monitoring by the State Grid Hunan Electric Power Operation Monitoring (Control) Center shows that from January to November, the total electricity consumption in Hunan Province reached 157.33 billion kWh, with a cumulative growth rate of 10.11%, the highest for the same period since 2011. The electricity demand from new manufacturing industries represented by Lens Technology is very strong, while traditional high-energy-consuming industries operate at a low speed, indicating ongoing internal structural adjustment of industry and continuous fermentation of the shift between old and new growth drivers.
Reporting for installation and connection is a "wind vane" for the prosperity of the electric power economy. Electric power data has the characteristics of large volume, multiple types, and high value, and there is still much room for exploration in serving government decision-making, serving upstream and downstream enterprises, and serving power customers. To this end, the company proposed "six ideas": using industry electricity consumption to detect economic vitality, using power grid equipment to witness urban growth, using data fusion to discover ecological changes, using electricity consumption differences to observe people's livelihoods, using customer electricity analysis to analyze consumption status, and using interaction results to perceive the connotation of credit.
