Power grid regulation and control and operation management system of power supply enterprise based on big data lean assistance

Abstract

The invention discloses a power grid regulation and control and operation management system of a power supply enterprise based on big data lean assistance. The system comprises a data warehouse for receiving service metadata. The data warehouse is connected with a data market. The data market is connected with a presentation layer. The working process comprises the following steps in sequence: the service metadata is transmitted to the data warehouse; the data warehouse is transmitted to the data market; and the data market is transmitted to the presentation layer. The system realizes mass data deep value mining, and can help personnel in enterprise decision-making level, management level and execution level to quickly obtain high-value power grid operation and management data information.

Description

technical field [0001] The invention relates to a power grid regulation and operation management system based on big data and lean assistance for power supply enterprises. Background technique [0002] In recent years, with the introduction of a series of measures such as promoting economic restructuring, changing the energy consumption structure, accelerating the construction of the electric power market and the reform of the electric power system, and promoting the rapid development of new energy, further proposals have been made for the organizational model of power grid regulation and control and system technical support. Demand for innovation and change. With the rapid development of ultra-high voltage and smart grids, Nantong Power Grid is not only growing stronger, but also undergoes profound changes in the structure of the power grid and power supply. The operation mechanism of the power grid is complex, the power generation of new energy is random, the power balance...

AI Technical Summary

Problems solved by technology

Due to the lack of intelligent and standardized management methods, the repetitive workload is large and the quality of the obtained data cannot be guaranteed. The operation and management personnel spend a lot of energy and time on data analysis and statistics.

The original management model has problems such as frequent collection of analysis materials, single content and reporting methods, need to switch between multiple business systems to sort out data, need to print a large amount of paper materials, and cannot conduct historical inquiries in a timely manner.

At the same time, the business scope and workload of regulation and management are increasing day by day. A large number of professional management and daily work rely on personal self-conscious management, and some negligence and omissions are inevitable. The production task planning, implementation, tracking, inspection, and assessment processes lack effective management tools. , the lack of a unified business work summary management platform and process control means, the lack of quantitative and qualitative analysis for regulation business and the scientific analysis of personnel work performance auxiliary control tools, the management efficiency is low, and it cannot meet the needs of lean and intelligent management of power grid regulation

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