基于大数据的电网实物资产分析评价系统设计与实现

Design and implementation of real assets analysis and evaluation system of power grid based on big data

实物资产分析评价指通过汇集资产在全寿命周期各个阶段的数据,从规模结构、健康水平、利用效率及退役报废等方面进行分析,掌握实物资产现状,从而提出实物资产配置、管理改进方案,最终为实现资产安全、效能、成本的综合最优以及提升资产运行效益提供科学客观的事实依据。本文介绍了一种基于大数据思想和ID-CROSS算法的实物资产分析评价系统,利用数据解析链路原理,实现实物资产分析评价的指标体系、分析维度、数据来源、加工过程和展现。系统的设计与开发立足于工程实践和系统成果在电网企业的应用,验证了文中设计思路的可行性和有效性。

The analysis and evaluation of physical assets refers to the analysis of the four aspects of scale structure,health level,utilization efficiency and decommissioning and retirement by collecting data at various stages of the life cycle,so as to grasp the current situation of physical assets and predict the risks and challenges facing the future.The physical asset allocation and management improvement program will ultimately provide a scientific and objective factual basis for achieving comprehensive optimization of asset safety,efficiency and cost,reducing asset operational risks and improving asset operational efficiency.This paper introduces a physical asset analysis and evaluation system based on big data idea and ID-CROSS algorithm design.It uses the data analysis link principle to analyze the index system,analysis dimension,data source,processing process and presentation mode of physical assets analysis and evaluation.Comprehensively sorted out.The design and development of the system is based on engineering practice,and the system results verify the design ideas and implementation methods in the application of State Grid Corporation of China.