基于预处理迭代方法的高效大型电网工程数据分析

High-efficiency large-scale power grid engineering data analysis based on preprocessing iterative method

当前电网基建工程的预算缺乏统一评审标准,数据价值也尚未得到深度挖掘和利用。针对目前在电网基建工程数据分析领域的评审人员数量严重不足、评审质量和效率偏低等问题,文中采用大数据预处理的方法对大型电网工程数据进行分析,开展了电网规划、固定资产投资项目的技术经济评价,以及规划项目管理信息平台相关的数据处理工作。以广州供电局为例,开发设计了一套适用于该供电局所辖范围内的投资造价数据智能评估分析系统,负责区域内行业定额的数据分析、上报和发布,经过数值实验验证,该预处理方法可以有效提升数据的压缩效率。

At present,the budget of power grid infrastructure projects lacks unified evaluation standards,and the data value has not been deeply exploited and utilized.At present,the number of reviewers in the field of data analysis of power grid infrastructure projects is seriously insufficient,and the quality and efficiency of the review are low.In this paper,the big data preprocessing method is used to analyze the data of large-scale power grid project,and the technical and economic evaluation of power grid planning and fixed assets investment projects is carried out,as well as the data processing work related to the planning project management information platform.Finally,taking guangzhou power supply bureau as an example,an intelligent evaluation and analysis system of investment cost data is developed and designed,which is suitable for the scope of the power supply bureau.It is responsible for the data analysis,reporting and publishing of the industry quota in the region.The numerical experiments show that the preprocessing method can effectively improve the efficiency of data compression.