Research on Dynamic Technology of Digital Benefit Intelligent Quantitative Control

Zhimin He, Aidi Dong, Jianhong Pan
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Abstract

With the rapid development of the digital economy, combined with changes in the company's internal and external development situations, the digitization of grid companies is extending from supporting management digitization to serving energy Internet digitization applications, extending from serving internally to internally and externally, and helping to improve quality and efficiency. To empower emerging industries to upgrade and extend, the digital construction of power grid companies will become an important core task for the construction of the energy Internet. This article is based on the quantitative control dynamic technology of digital economic benefit evaluation, through the analysis of business types, project cycles., new business development, etc., using big data analysis., data governance, machine learning and other technologies to capture, integrate, and analyze project data, To form an architectural feature model, to screen and effectively correlate digital economic benefit evaluation indicators, and finally complete the construction of a dynamic analysis model for digital economic benefit evaluation intelligent quantitative control.
数字效益智能定量控制动态技术研究
随着数字经济的快速发展,结合公司内外部发展形势的变化,电网公司的数字化正在从支持管理数字化向服务能源互联网数字化应用延伸,从服务内部向内外延伸,助力提质增效。为赋能新兴产业升级延伸,电网公司数字化建设将成为能源互联网建设的重要核心任务。本文是基于定量控制动态技术的数字经济效益评价,通过对企业类型、项目周期的分析。、新业务开发等,运用大数据分析。、数据治理、机器学习等技术对项目数据进行捕获、整合、分析,形成建筑特征模型,筛选并有效关联数字经济效益评价指标,最终完成构建数字经济效益评价智能定量控制的动态分析模型。
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