Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms

Xing Xiaogang; Li Mengyu; Xu Yubo; Diao Zhaokun; Li Zhou

doi:10.11959/j.issn.1000-0801.2026030

您当前的位置：

首页 >

文章列表页 >

Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms

Engineering and Application | 更新时间：2026-03-05

- Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms
- Telecommunications Science Vol. 42, Issue 2, Pages: 204-212(2026)
- 作者机构：
  
  中国移动通信集团设计院有限公司，北京 100080
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2026030
  CLC： TN915.02
- Received：13 January 2025，
  
  Revised：2025-07-03，
  
  Accepted：15 October 2025，
  
  Published：20 February 2026
- 稿件说明：
移动端阅览
邢小刚,李梦宇,徐玉波等.基于SfM及SOLO算法的通信机房智能三维建模技术方案研究[J].电信科学,2026,42(02):204-212.

Xing Xiaogang,Li Mengyu,Xu Yubo,et al.Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms[J].Telecommunications Science,2026,42(02):204-212.
邢小刚,李梦宇,徐玉波等.基于SfM及SOLO算法的通信机房智能三维建模技术方案研究[J].电信科学,2026,42(02):204-212. DOI： 10.11959/j.issn.1000-0801.2026030.

Xing Xiaogang,Li Mengyu,Xu Yubo,et al.Research on intelligent 3D modeling technology scheme for telecommunication equipment rooms based on SfM and SOLO algorithms[J].Telecommunications Science,2026,42(02):204-212. DOI： 10.11959/j.issn.1000-0801.2026030.

摘要

建设通信机房的数字孪生系统，对提升通信网络主要资产的管理水平具有重要意义。机房设备、设施的低成本、高质量三维建模是数字孪生系统建设的关键。为此，提出了一种通信机房的智能三维建模技术方案，依靠普通相机采集的多角度照片组，综合运用人工智能（artificial intelligence，AI）技术，可生成机房设备、设施的高精度、带语义三维模型。该方案联合使用运动恢复结构（structure from motion，SfM）及按位置分割对象（segmenting objects by locations，SOLO）算法，优化了SOLO算法的损失函数。分析表明，该方案可显著提升识别准确度，同时提升了建模运算效率，降低了建模需要采集的现场照片数量和精度要求，具有很强的实用性。

Abstract

The establishment of a digital twin system for communication equipment rooms holds substantial significance in elevating the management level of communication networks and assets. Central to this endeavor is the low-cost yet high-quality three-dimensional modeling of the equipment and facilities within the rooms. For this reason

an intelligent 3D modeling framework for telecommunication equipment rooms was devised

whereby

leveraging multi-angle photographs captured by ordinary cameras and integrating advanced artificial intelligence (AI) technology

high-precision

semantically rich three-dimensional models of the equipment and facilities could be generated. This solution incorporated the structure from motion (SfM) and segmenting objects by locations (SOLO) algorithms

with the loss function of the SOLO algorithm being optimized. Experimental results demonstrate that this approach markedly enhances recognition accuracy

substantially boosts modeling efficiency

and effectively reduces the requisite quantity and precision threshold of photographs

thereby manifesting robust practicality.

关键词

Keywords

references

刘咏荷 , 邢小刚 , 徐玉波 , 等 . 三维勘测建模技术研究及通信行业应用评估 [J ] . 电信工程技术与标准化 , 2023 , 36 ( 8 ): 36 - 42 .

Liu Y H , Xing X G , Xu Y B , et al . Research on 3D survey modeling technology and application evaluation in the communication industry [J ] . Telecom Engineering Technics and Standardization , 2023 , 36 ( 8 ): 36 - 42 .

王云舒 , 刘建业 , 曾庆化 , 等 . 结构光辅助的惯性/视觉室内导航三维环境重构方法 [J ] . 中国惯性技术学报 , 2016 , 24 ( 1 ): 51 - 58 .

Wang Y S , Liu J Y , Zeng Q H , et al . 3D environment restructure method with structured light for indoor vision/inertial navigation [J ] . Journal of Chinese Inertial Technology , 2016 , 24 ( 1 ): 51 - 58 .

郑太雄 , 黄帅 , 李永福 , 等 . 基于视觉的三维重建关键技术研究综述 [J ] . 自动化学报 , 2020 , 46 ( 4 ): 631 - 652 .

Zheng T X , Huang S , Li Y F , et al . Key techniques for vision based 3D reconstruction: a review [J ] . Acta Automatica Sinica , 2020 , 46 ( 4 ): 631 - 652 .

徐凯 , 胡瑞珍 , 杨鑫 . 几何引导的主动式三维感知与交互 [J ] . 图学学报 , 2022 , 43 ( 6 ): 1049 - 1056 .

Xu K , Hu R Z , Yang X . Geometry-guided active 3D perception and interaction [J ] . Journal of Graphics , 2022 , 43 ( 6 ): 1049 - 1056 .

曲熠 , 陈莹 . 基于尺度线索增强的无监督单目深度估计 [J ] . 电子学报 , 2024 , 52 ( 9 ): 3217 - 3227 .

Qu Y , Chen Y . Unsupervised monocular depth estimation based on scale clue enhancement [J ] . Acta Electronica Sinica , 2024 , 52 ( 9 ): 3217 - 3227 .

娄宁 , 马健 , 杨永崇 , 等 . 倾斜摄影的单体精细化三维建模技术 [J ] . 遥感信息 , 2020 , 35 ( 6 ): 44 - 48 .

Lou N , Ma J , Yang Y C , et al . Monolithic 3D modeling technology for tilting photography [J ] . Remote Sensing Information , 2020 , 35 ( 6 ): 44 - 48 .

刘欣怡 , 张永军 , 范伟伟 , 等 . 无人机倾斜摄影三维建模技术研究现状及展望 [J ] . 时空信息学报 , 2023 , 30 ( 1 ): 41 - 48 .

Liu X Y , Zhang Y J , Fan W W , et al . 3D modeling based on UAV oblique photogrammetry: Research status and prospect [J ] . Journal of Spatio-Temporal Information , 2023 , 30 ( 1 ): 41 - 48 .

刘双童 , 王明孝 . 基于倾斜摄影建模技术的三维地形实体模型制作研究 [J ] . 测绘与空间地理信息 , 2019 , 42 ( 1 ): 31 - 33 .

Liu S T , Wang M X . Research on 3D terrain solid model production based on tilting photography modeling technology [J ] . Geomatics & Spatial Information Technology , 2019 , 42 ( 1 ): 31 - 33 .

Wang H , Ding L , Dong S , et al . CAGroup3D: class-aware grouping for 3D object detection on point clouds [J ] . Advances in Neural Information Processing Systems , 2022 , 35 : 8 .

师春艳 . 基于三维视觉的室内设计虚拟现实方法研究 [J ] . 现代电子技术 , 2018 , 41 ( 5 ): 78 - 82, 88 .

Shi C Y . Research on virtual reality method of indoor design based on 3D vision [J ] . Modern Electronics Technique , 2018 , 41 ( 5 ): 78 - 82, 88 .

欧元汉 , 刘进 , 劳冬影 . 基于MVS点云的城市建筑三维重建方法 [J ] . 计算机工程与设计 , 2015 , 36 ( 11 ): 3064 - 3068 .

Ou Y H , Liu J , Lao D Y . 3D reconstruction method of city buildings based on MVS point cloud [J ] . Computer Engineering and Design , 2015 , 36 ( 11 ): 3064 - 3068 .

张彦雯 , 胡凯 , 王鹏盛 . 三维重建算法研究综述 [J ] . 南京信息工程大学学报 , 2020 , 12 ( 5 ): 591 - 602 .

Zhang Y W , Hu K , Wang P S . Review of 3D reconstruction algorithms [J ] . Journal of Nanjing University of Information Science & Technology , 2020 , 12 ( 5 ): 591 - 602 .

Wang X L , Kong T , Shen C H , et al . SOLO: segmenting objects by locations [M ] // Computer Vision-ECCV 2020 . Cham : Springer International Publishing , 2020 : 649 - 665 .

He K M , Gkioxari G , DolláR P , et al . Mask R-CNN [C ] // Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV) . Piscataway : IEEE Press , 2017 : 2980 - 2988 .

Lin T Y , Goyal P , Girshick R , et al . Focal loss for dense object detection [C ] // Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV) . Piscataway : IEEE Press , 2017 : 2999 - 3007 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on the application of digital twin technology for intelligent substations

Research on the capability evaluation system and maturity model of optical transport network

Resource allocation scheme for digital twin networks in smart cities

Ultra-wideband digital channel modeling based on generative adversarial network

Related Author

LI Zhou

DIAO Zhaokun

XU Yubo

LI Mengyu

XING Xiaogang

GUO Jia

LIU Hongyu

ZHANG Jinwei

Related Institution

China Mobile Group Design Institute Co, Ltd

State Grid Jibei Electric Power Company Limited Economic Research Institute

Beijing Research Institute of China Telecom Co., Ltd.

China Academy of Information and Communications Technology

Nanjing University of Posts and Telecommunications

⁰