输变电工程造价大数据平台构建与智能分析管控应用研究

输变电工程项目建设规模不断壮大,相应的电网造价数据量也持续增加,但目前对于造价数据的挖掘处理远远不够,亟待提升造价管理的信息化水平,构建输变电工程造价“大数据”体系。本文基于大数据应用背景下输变电工程造价数据管理运用现状,分析大数据理论在工程造价管理中应用的必要性及意义,探讨了输变电工程造价数据采集、存储技术及关键影响因素技术的应用,系统梳理与总结造价数据来源类型、数据分析与处理流程、数据信息挖掘与应用方向等内容,构建了基于大数据应用的输变电工程造价系统平台,并结合实际应用案例,通过分析找到关键影响因素,采用支持向量机方法、粒子群等方法,建立起科学的造价预测模型,可为电网企业输变电工程造价管控水平的提升提供重要支撑。

Construction of large data platform for transmission and transformation project cost and application research of intelligent analysis control

The construction scale of power transmission and transformation projects has been rapidly developed, and the corresponding amount of power grid cost data continues to increase. However, at present, the mining and processing of project cost data cost is far from enough. It is urgent to improve the informatization level of cost management and construct the "big data" system for the cost of power transmission and transformation project. Based on the current situation of data management of power transmission and transformation engineering under the background of big data application,this paper analyzes the necessity and significance of the application of big data theory in engineering cost management, The application of the cost data collection, storage technology and key influencing factors of the transmission and transformation project is discussed. The types of the cost data sources, the data analysis and processing flow, the direction of the data mining and application are systematically summarized and summarized, and the platform of the transmission and transformation project cost system based on the big data application is constructed and combined. and the key influencing factors are found through the analysis of practical application cases. The scientific cost prediction model is established by means of support vector machine and particle swarm, which can provide a heavy burden for the improvement of cost management and control level of power transmission and Transformation Engineering in power grid enterprises.