基于三维地形重建的隧道出口边坡施工碳排放研究

于贵; 童佳辉; 宋宇秋; 余志祥

doi:10.3724/j.gyjzG25091003

基于三维地形重建的隧道出口边坡施工碳排放研究

doi: 10.3724/j.gyjzG25091003

1. 中铁科学研究院集团有限公司, 成都 610032;
2. 西南交通大学土木工程学院, 成都 610031

基金项目:

中国中铁股份有限公司科技研究开发计划项目（科研院2022-重大-01，2023-重大-06，2023-重大-08）。

详细信息

作者简介:
于贵,硕士研究生,教授级高级工程师,主要从事低碳可持续设计、固碳增汇、地质灾害与滑坡防治等方面的研究。

通讯作者:
余志祥,yzxswjtu@163.com。

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- 被引次数: 0
出版历程
- 收稿日期: 2025-09-10
- 网络出版日期: 2026-11-06

Research on Carbon Emission Accounting for Tunnel Exit Slope Construction Based on 3D Terrain Reconstruction

1. China Railway Academy Group Co., Ltd., Chengdu 610032, China;
2. School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China

摘要

摘要: 在“双碳”战略背景下，隧道工程施工阶段的碳排放管控已成为交通基础设施低碳转型的关键环节。针对传统依赖设计图纸的碳排放计算方法难以准确反映现场施工状况的问题，提出一种基于三维地形重建的碳排放高精度计算方法。建立了基于无人机倾斜摄影与多视角几何重建的施工场地三维建模方法，实现了施工现场破坏面积与土方量的准确提取；依据三维地形重建数据，构建了涵盖机械作业、材料运输与植被破坏的多维碳排放核算体系，从而实现了施工过程的碳排放精确计算与施工方案优化。将所提出方法应用于西渝高铁某隧道工程，基准方案（方案1）碳排放量为355296.6 kgCO₂e，基于此进一步提出两种优化方案：方案2通过减少高能耗设备并优化施工调度，碳排放下降33.83%；方案3在方案2的基础上通过优化设备配置、提高机械效率并引入光伏发电系统，碳排放下降34.31%；同时，优化方案将施工总成本由255.17万元降至208.87万元。
- 碳排放核算 /
- 三维重建 /
- 隧道工程 /
- 减碳评估 /
- 施工方案优化
Abstract: Under the "dual-carbon" strategy， controlling carbon emissions during the tunnel construction phase has become critical for the low-carbon transition of transportation infrastructure. To address the limitation of traditional design-drawing-based methods， which cannot accurately reflect on-site construction conditions， this paper proposes a high-precision carbon accounting method based on three-dimensional（3D） terrain reconstruction. A 3D site modeling approach using UAV oblique photogrammetry and multi-view geometric reconstruction was developed to enable accurate extraction of the disturbance area and earthwork quantities. Based on the 3D terrain data， a multi-dimensional carbon accounting framework was established， covering mechanical operations， material transportation， and vegetation disturbance， thereby enabling precise estimation of construction-phase carbon emissions and facilitating construction scheme optimization. The proposed method was applied to a tunnel project on the Xi’an-Chongqing High-Speed Railway. The baseline scheme （Scheme 1） yielded 355296.6 kgCO₂e. Two optimization schemes were further proposed： Scheme 2 reduced emissions by 33.83% by eliminating high-energy equipment and optimizing construction scheduling； Scheme 3， building on Scheme 2， reduced emissions by 34.31% by optimizing equipment configuration， improving machinery efficiency， and introducing photovoltaic power. At the same time， the optimized schemes reduced total construction cost from CNY 2.5517 million to CNY 2.0887 million.
- carbon emission accounting /
- 3D reconstruction /
- tunnelling works /
- carbon reduction assessment /
- construction scheme optimization

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参考文献(23)

[1]	XU B Q,LIU C. A 3D reconstruction method for buildings based on monocular vision[J]. Computer-Aided Civil and Infrastructure Engineering,2022,37(3):354-369.
[2]	POLLEFEYS M,NISTÉR D,FRAHM J M,et al. Detailed real-time urban 3D reconstruction from video[J]. International Journal of Computer Vision,2008,78(2):143-167.
[3]	LU Q C,SANGHOON L,ASCE A M. Image-based technologies for constructing as-is building information models for existing buildings[J]. Journal of Computing in Civil Engineering,2017,31(4):04017005.
[4]	HAN Y T,FENG D M,WU W W,et al. Geometric shape measurement and its application in bridge construction based on UAV and terrestrial laser scanner[J]. Automation in Construction,2023,151:104880.
[5]	CHANGHUN S,PAN Y K. 3D terrain reconstruction of construction sites using a stereo camera[J]. Automation in Construction,2016,64:65-77.
[6]	PUCKO Z,SUMAN N,REBOLJ D. Automated continuous construction progress monitoring using multiple workplace real time 3D scans[J]. Advanced Engineering Informatics,2018,38:27-40.
[7]	YAN X Z,ZHANG H,LI H. Computer vision-based recognition of 3D relationship between construction entities for monitoring struck-by accidents[J]. Computer-Aided Civil and Infrastructure Engineeringcv,2020,35(9):1023-1038.
[8]	LIU R,LIANG H,WANG Z Y,et al. Fusion-based high-quality polarization 3D reconstruction[J]. Optics and Lasers in Engineering,2023,162:107397.
[9]	REJA V K,VARGHESE K,HA Q P. Computer vision-based construction progress monitoring[J]. Automation in Construction,2022,138:104245.
[10]	周志祥,姜腾蛟,唐亮,等.移动式三维激光扫描系统在桥面全息变形监测的应用研究[J].应用基础与工程科学学报,2018,26(5):1078-1091.
[11]	熊文,石颖,丁旭东,等.基于点云模型的桥梁构件形态变化趋势识别与分析[J].桥梁建设,2018,48(6):35-40.
[12]	苑壮.基于无人机三维激光扫描技术的矿区岩移观测研究[D].济南:山东科技大学,2020.
[13]	RAZALI A F,ARIFF M F M,MAJID Z. A hybrid point cloud reality capture from terrestrial laser scanning and uav-photogrammetry[J]. The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2022,46:459-463.
[14]	鲍学英,韩通,霍雨雨.铁路轨道工程物化阶段碳排放预测及影响因素研究[J].铁道科学与工程学报,2024,21(10):4299-4310.
[15]	鲍学英,申中帅,刘北胜,等.铁路路基挡墙碳减排方案优选及降碳策略研究[J].铁道科学与工程学报,2024,21(9):3842-3853.
[16]	戴延泽,占曙光.考虑碳排放的城轨开行大小交路方案分析[J].铁道科学与工程学报,2022,19(12):3546-3556.
[17]	陈坤阳,段华波,张怡,等.广州地铁盾构隧道建设期碳排放强度与减排潜力研究[J].隧道建设(中英文),2022,42(12):2064-2072.
[18]	方海,曹子龙,凤振华,等.基于全生命周期理论的公路建设期碳排放核算方法及实证研究[J].公路工程,2021,46(1):92-97.
[19]	何青,李晔,张鑫.道路系统全生命周期碳排放量化分析框架:基于国际标准[J].城市交通,2022,20(1):102-109.
[20]	JIA S Y,LIU M H. Embodied GHG emissions of high speed rail stations:quantification,data-driven prediction and cost-benefit analysis[J]. Journal of Cleaner Production,2022,366:133006.
[21]	吴宏飞.基于正交试验的污水泵性能优化设计[J].水泵技术,2021(5):13-16.
[22]	万伦,宋文武,虞佳颖,等.叶片包角对高比转速离心泵水力性能的影响研究[J].人民长江,2018,49(15):96-100.
[23]	中华人民共和国住房和城乡建设部.建筑碳排放计算标准:GB/T 51366-2019[S].北京:中国建筑工业出版社,2019.