Research on a Big Data-Based Cost Index System for Wind Power Projects and Its Application
基于大数据分析的风电工程造价指标体系及应用研究

摘要

风电项目投入大且造价繁杂，传统的管理模式很难做到精细化动态管控。依托大数据分析的成本指标体系能够汇总项目的历史数据，市场资讯以及施工信息，以量化的形式测算出项目的总体及各项的成本数值，找出影响造价的主要因子，可以用于指导项目的投融资，初步设计，施工阶段控本以及最终决算等多个流程。有利于提升预算精准性，减少成本风险，促进风电工程项目全过程的精细管控，为风电行业的数字化转型及智慧化升级提供数据基础。

Abstract

Wind power projects involve large investments and highly complex cost structures, making it difficult for traditional management approaches to achieve refined and dynamic cost control. A cost index system based on big data analysis can integrate historical project data, market information, and construction data, quantitatively estimate both the overall project cost and the costs of individual components, and identify the key factors affecting project cost. It can be applied to multiple stages of a project, including investment and financing, preliminary design, cost control during construction, and final settlement. Such a system helps improve budgeting accuracy, reduce cost risks, and promote refined whole-process cost management in wind power projects, while also providing a data foundation for the digital transformation and intelligent upgrading of the wind power industry.