基于大数据的地铁全线建设投资智能控制研究

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摘要 研究目的：地铁建设项目投资消耗因素具有复杂性、时序性、空间性和开放性,导致现有的定额投资控制模式已远远达不到投资随机性和非线性演变的要求,亟需改革地铁投资控制管理模式。由此本文综合运用BIM、Python技术与模糊数学、BP神经网络、已获价值理论和PDCA循环法,构建地铁全线建设投资智能预测和控制方法。
研究结论：(1)建立了地铁全线建设投资基础数据库,同时构建地铁工程投资问题原因对策库;(2)运用SPSS因子分析、粗糙集理论、模糊数学结合BP神经网络得到全线施工总目标;(3)综合PDCA循环、已获价值理论对重点管控工程进行投资动态优化控制,显著提高了项目整体的管理效率和水平;(4)建立了地铁全线建设投资计算机辅助智能控制软件并应用在成都地铁建设实例中;(5)本研究成果可为地铁全线建设投资控制提供可行性方案。

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	段晓晨
	杨静
	汪辉
	王丹

关键词 ：地铁全线建设, BP神经网络, 投资智能预测, 智能控制

Abstract：Research purposes: Due to the complexity, sequence, space and openness of investment consumption factors in subway construction projects, the existing fixed investment control mode has far failed to meet the requirements of investment randomness and nonlinear evolution, and it is urgent to reform the subway investment control management mode. Therefore, this paper comprehensively uses BIM, Python technology, fuzzy mathematics, BP neural network, acquired value theory and PDCA cycle method to build an intelligent prediction and control method for subway construction investment.
Research conclusions: (1) The basic database of subway construction investment is established, and the cause and countermeasure database of subway project investment is constructed. (2) Using SPSS factor analysis, rough set theory, fuzzy mathematics combined with BP neural network, the overall construction objective of the whole line is obtained. (3) Integrated PDCA cycle and acquired value theory carry out dynamic investment optimization control for key control projects, significantly improving the overall management efficiency and level of the project. (4) The computer aided intelligent control software for subway construction investment was established and applied in Chengdu subway construction example. (5) The research results can provide a feasible plan for the investment control of the entire subway line construction.

Key words： construction of the entire subway line BP neural network investment intelligent forecasting intelligent control

收稿日期: 2024-01-22

PACS:

U477

基金资助:国家自然科学基金面上项目(72071133); 河北大地园林有限公司项目（横20220209）

作者简介: ** 段晓晨,1962 年出生,男,教授。

引用本文:

段晓晨, 杨静, 汪辉, 王丹. 基于大数据的地铁全线建设投资智能控制研究[J]. 铁道工程学报, 2024, 41(11): 118-123.
DUAN Xiaochen, YANG Jing, WANG Hui, WANG Dan. Research on Intelligent Control of Subway Construction Investment Based on Big Data. Journal of Railway Engineering Society, 2024, 41(11): 118-123.

链接本文:

https://tdgcxb.crec.cn/CN/ 或 https://tdgcxb.crec.cn/CN/Y2024/V41/I11/118

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[5]	段晓晨,张文,喇海霞,等.地铁盾构掘进进度三维非线性控制方法研究[J].铁道工程学报,2020(5):93-98.Duan Xiaochen, Zhang Wen, La Haixia, etc. Research on the Three Dimensional Nonlinear Control Method of Metro Shield Tunneling Progress[J]. Journal of Railway Engineering Society, 2019(5):93-98.
[6]	段晓晨,孟春成,吴曼茜,等.地铁车站土建工程施工进度三维动态优化控制[J].地下空间与工程学报,2022(5):1678-1688.Duan Xiaochen, Meng Chuncheng, Wu Manqian, etc. 3D Dynamic Optimal Control of Civil Engineering Construction Schedule of Metro Station[J]. Chinese Journal of Underground Space and Engineering,2022(5):1678-1688.