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本文提出了京港澳高速公路改扩建工程高精度机载激光扫描测量的自动化勘测设计及其协同方法。首先,对海量高密度的激光雷达扫描数据进行高效组织和管理,快速生成生产所需的大比例尺3D数字产品和道路特征信息。然后,通过与公路CAD协同设计,快速生成设计人员所需的各类断面地面线数据。最后,协同平、纵、横线形数据自动交互,实现既有道路线形要素恢复,并进行道路工程的改扩建工程优化设计。工程实践表明,激光扫描测量成果满足道路改扩建工程定测与施工图设计精度要求,显著提高测设效率和工程质量,有效控制工程造价。
This paper presents an automatic survey design and its synergistic method for high-precision airborne laser scanning surveying of Beijing-Hong Kong-Macao Freeway Extension Project. First, massively high-density lidar scanning data is efficiently organized and managed to rapidly generate large-scale 3D digital products and road characterization information needed for production. Then, collaborative design with highway CAD, quickly generate all kinds of cross-sectional surface line data required by the designer. Finally, collaborative horizontal, vertical and horizontal linear data automatically interact to achieve both the restoration of road linear elements, and road engineering reconstruction and expansion project optimization design. Engineering practice shows that laser scanning measurement results meet the requirements of road design and construction drawings and design accuracy, significantly improve the measuring efficiency and project quality, and effectively control the project cost.