新基建背景下工程造价管理模式的变革研究 -工程造价专业

摘要

在新基建背景下，工程造价管理模式正面临前所未有的机遇与挑战。本研究以新基建政策实施为背景，聚焦数字化、智能化技术对传统工程造价管理的深刻影响，旨在探索适应新时代需求的工程造价管理模式变革路径。通过文献分析、案例研究和实证调查相结合的方法，系统梳理了当前工程造价管理中存在的问题，并深入剖析了大数据、人工智能、BIM等新兴技术在造价管理中的应用潜力。研究表明，新基建的推进促使工程造价管理从传统的静态、分散模式向动态、集成化方向转变，显著提升了管理效率与决策精准度。同时，研究发现基于数据驱动的全过程造价管理模式能够有效整合资源，优化资源配置，降低项目全生命周期成本。本研究的主要创新点在于提出了“数字孪生+智能预测”的新型造价管理模式框架，该框架不仅实现了造价信息的实时更新与共享，还通过算法模型增强了风险预警能力。此外，研究进一步明确了技术赋能下造价管理人员角色转型的重要性，强调其需具备跨领域知识与综合技能。总体而言，本研究为工程造价管理模式的转型升级提供了理论支持与实践指导，对推动行业数字化发展具有重要意义。

关键词：新基建；工程造价管理；数字孪生；智能预测；全过程管理

ABSTRACT

Under the background of new infrastructure construction, the project cost management model is facing unprecedented opportunities and challenges. This study, grounded in the implementation of new infrastructure policies, focuses on the profound impact of digitalization and intelligent technologies on traditional cost management, aiming to explore pathways for transforming cost management models to meet the demands of the new era. By employing a combination of literature analysis, case studies, and empirical surveys, this research systematically identifies existing issues in current cost management practices and thoroughly examines the application potential of emerging technologies such as big data, artificial intelligence, and BIM in cost management. The findings indicate that the advancement of new infrastructure construction drives cost management to transition from traditional static and fragmented models toward dynamic and integrated approaches, significantly enhancing management efficiency and decision-making accuracy. Additionally, it was discovered that a data-driven full-process cost management model can effectively consolidate resources, optimize resource allocation, and reduce lifecycle costs of projects. A key innovation of this study lies in proposing a novel cost management fr amework integrating "digital twins + intelligent prediction," which not only enables real-time updates and sharing of cost information but also strengthens risk warning capabilities through algorithmic models. Furthermore, the study highlights the importance of role transformation for cost management personnel empowered by technology, emphasizing the necessity for them to possess interdisciplinary knowledge and comprehensive skills. Overall, this research provides theoretical support and practical guidance for the transformation and upgrading of cost management models, playing a significant role in promoting the digital development of the industry.

Keywords: New Infrastructure; Engineering Cost Management; Digital Twin; Intelligent Prediction; Whole Process Management