Application Analysis of Artificial Intelligence Technology in Construction Cost Estimation for Building Projects
人工智能技术在建筑工程造价估算中运用分析

摘要

建筑工程项目成本估算的传统方法基于定额体系及人工经验进行计算，具有耗时长、准确性低、反应迟缓等问题。 而人工智能技术的运用给工程成本估算带来新的思路和手段。文章提出了人工智能应用于项目成本估算应该遵守的数 据准确第一的原则；根据实际数据灵活调整模型的选择原则；人机相互补充的协调原则。从项目的投资估算、设计概 预算、招投标报价预测、动态造价管理到BIM技术集成等五个方面详细介绍了人工智能应用于造价估算的方法和技术 手段并从数据治理、平台建设、机构设置三个方面给出了实现途径及管理要求。研究发现，AI正在引领工程项目投资 估算由“凭据式”转变为以“数据”为中心的方式，但是在实际应用过程当中还是存在不少问题如：数据碎片化严重 以及缺乏相关专业技术人才等问题。 

Abstract

 Traditional methods of construction cost estimation for building projects are based on quota systems and manual experience, and are characterized by long processing time, low accuracy, and slow responsiveness. The application of artificial intelligence technology has introduced new ideas and methods for project cost estimation. This paper proposes that the application of artificial intelligence to project cost estimation should follow three principles: the principle of prioritizing data accuracy, the principle of flexibly adjusting model selection according to actual data, and the principle of coordination between human expertise and machine intelligence. From five aspects, namely investment estimation, design budget estimation, bidding price forecasting, dynamic cost management, and BIM technology integration, the paper elaborates on the methods and technical means of applying artificial intelligence to cost estimation, and further presents implementation approaches and management requirements from the perspectives of data governance, platform construction, and organizational setup. The study finds that AI is driving the transformation of project investment estimation from an evidence-based approach to a data-centered approach. However, in practical application, there are still many problems, such as severe data fragmentation and a lack of relevant professional and technical personnel.