测绘通报 ›› 2020, Vol. 0 ›› Issue (9): 127-131.doi: 10.13474/j.cnki.11-2246.2020.0298

• 技术交流 • 上一篇    下一篇

三维激光扫描技术用于老旧小区改造中二维信息提取与平面制图

龙润泽1, 鲁明军2   

  1. 1. 北京城建勘测设计研究院有限责任公司, 北京 100101;
    2. 云南登威科技有限公司, 云南 昆明 650100
  • 收稿日期:2020-06-22 出版日期:2020-09-25 发布日期:2020-09-28
  • 作者简介:龙润泽(1994-),男,助理工程师,主要从事精密工程测量、轨道交通工程测量及监测等技术研究。E-mail:872860973@qq.com

Research on the extraction of full-section elements in the renovation project of old residential areas by 3D laser scanning technology

LONG Runze1, LU Mingjun2   

  1. 1. Beijing Urban Construction Exploration&Surveying Design Research Instittute Co., Ltd., Beijing 100101, China;
    2. Yunnan DO-WIN Technology Co., Ltd., Kunming 650100, China
  • Received:2020-06-22 Online:2020-09-25 Published:2020-09-28

摘要: 在老旧小区改造过程中,需要对小区建筑的外部、内部结构面等信息数据进行提取。针对传统测绘方法工作量大、成本高、周期长等问题,本文以云南省红河州某海关住宿楼老旧小区改造项目为例,基于三维激光扫描技术获取的点云数据,对建筑物的外立面、楼梯内部结构和楼顶面进行了扫描。基于Leica Cyclone软件进行了点云数据配准、滤波去噪、数据分层管理等试验研究,整合点云数据后采用CAD软件绘制了该老旧建筑的外立面、剖面和平面的图,并使用全站仪、测距仪等传统测量手段对本次扫描成果的测量精度和准确性进行了检查评价,二维制图的平均精度可以达到1.54 cm。试验结果表明,三维激光扫描技术可以得到现场的三维点云数据,通过高密度、高精度、高质量的点云数据可完整地记录现场所有数据形态,其对于后续老旧小区改造项目的数据获取及成图拥有完整的解决方案。

关键词: 三维激光扫描, 老旧小区改造, 点云数据, 二维化成图方案, 数据处理

Abstract: In the process of old residential area reconstruction, it is necessary to extract the information data of external structural surface and internal structural surface of residential buildings. Aiming at the problems of traditional surveying and mapping methods such as heavy workload, high cost and long period, this paper takes an old residential area reconstruction project of a customs building in Honghe prefecture of Yunnan province as an example, based on the point cloud data obtained by three-dimensional laser scanning technology, scans the building's external facade, internal structure of stairs and roof. Based on Leica Cyclone software, we carry out experimental research on point cloud data registration, filtering and denoising, and data hierarchical management. After integrating point cloud data, it has drawn the facade, section and plan of the old building with CAD software, and checked and evaluated the measurement accuracy and accuracy of the scanning results with traditional measurement methods such as total station and distance meter. The average accuracy of the two-dimensional mapping can reach to 1.54 cm. The research results show that 3D laser scanning technology can obtain 3D point cloud data of field data, completely record all data forms of the field with high-density, high-precision, high-quality point cloud data, and has a complete solution for data acquisition and mapping of the subsequent old community reconstruction project.

Key words: 3D laser scanning, reconstruction of old communities, point cloud data, two-dimensional mapping scheme, data processing

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