河北水利电力学院学报 ›› 2025, Vol. 35 ›› Issue (1): 70-74.DOI: 10.16046/j.cnki.issn2096-5680.2025.01.012

• 工程项目管理 • 上一篇    下一篇

基于时间序列模型的建筑工程精准造价智能管控技术

汪菊   

  1. 安徽国防科技职业学院城市建设学院,安徽省六安市梅山中路56号 237001
  • 收稿日期:2023-10-23 修回日期:2024-02-05 出版日期:2025-03-31 发布日期:2025-04-16
  • 作者简介:汪菊(1988-),女,安徽六安人,硕士,讲师,从事建设工程管理、土木工程管理。E-mail:wangjjj666@126.com
  • 基金资助:
    安徽省示范课程项目(2020SJJXSFK0491);安徽省优质继续教育网络课程项目(2021tzpy41);“课程思政”教学改革与实践探索研究项目(gf2021jxyjz05);安徽省高校优秀青年骨干教师国内访问研修项目(gxgnfx2022190)

Intelligent Control Technology for Precision Cost of Construction Projects Based on Time Series Models

WANG Ju   

  1. Urban Construction College, Anhui Vocational College of Defense Technology, 237001, Lu'an, Anhui, China
  • Received:2023-10-23 Revised:2024-02-05 Online:2025-03-31 Published:2025-04-16

摘要: 针对建筑工程造价要素指标选取的维度较少,导致管控效果不理想的问题,文中提出基于时间序列模型的建筑工程精准造价智能管控技术。首先结合建筑工程的项目特征,通过构建时间序列预测项目的造价指数;其次从4个维度选取造价要素指标,并计算每个指标的造价指数;最后结合边缘计算技术,通过优化边缘节点路径,构建出造价智能管控网络模型,实现建筑工程精准造价智能管控。在实验中,对提出的建筑工程智能造价管控技术进行了管控效果的检验。最终的测试结果表明,文中提出的造价智能管控技术具有较高的评价值,智能管控效果较为理想。

关键词: 时间序列, 建筑工程, 造价管控, 造价预测

Abstract: In response to the problem of limited selection of dimensions for cost element indicators in construction projects, which leads to unsatisfactory control effects, a precise cost intelligent control technology for construction projects based on time series models is proposed. Firstly, based on the characteristics of the construction project, the cost index of the project is predicted     by constructing a time series. Then select cost element indicators from four dimensions and calculate the cost index for each indicator. Finally, combined with edge computing technology, by optimizing the path of edge nodes, an intelligent cost control network model is constructed to achieve accurate intelligent cost control of construction projects. In the experiment, the effectiveness of the proposed intelligent cost control technology for construction projects was tested. The final test results indicate that the proposed cost intelligent control technology has a high evaluation value, and the intelligent control effect is relatively ideal.

Key words: time series, construction, cost control, cost forecasting

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