摘要
输变电工程选线制约因素较多,受环境影响十分明显,传统二维图选结合现场勘察的工作方式,不仅费时费力,而且无法全面掌握线路上的自然条件,导致选线效果难以保证。本文利用实景三维对输变电工程的选线规划进行了研究;在真实地理场景中进行选线范围约束、线路标绘及实景模拟,并结合空间分析技术辅助方案比选,为科学合理选线提供了一种新的思路。实践证明,在黄埠岭500 kV输变电工程建设项目中,实景三维以其真实、立体、直观的表达优势,不仅可以提高选线效率和质量,还可以在穿越风景区等特殊线路段上开展景观视觉影响分析,为方案比选与论证提供科学客观的决策参考,是对输电线路数字化选线的一次深度赋能。
There are many restrictive factors in the route selection of power transmission and transformation projects, which are obviously affected by the environment. The traditional 2 D map selection combined with on-site survey work is not only time-consuming and labor-intensive, but also cannot fully grasp the natural conditions on the route, making it difficult to guarantee the selection effect. This paper studies the route selection planning of power transmission and transformation projects using 3 D real scene technology. It provides a new idea for scientific and rational route selection by carrying out selection range constraints, line plotting and simulation in real geographic scenes, combined with spatial analysis technology to assist in the comparison of planning scheme. During the construction of Huangbuling 500 kV project, practices show that the 3 D real scene with its real, three-dimensional and intuitive expression advantages can not only improve the efficiency and quality of route selection, but also possible to carry out landscape visual impact analysis on special route such as crossing scenic spots to provide scientific and objective decision-making reference for scheme comparison and demonstration, which is an in-depth empowerment for digital transmission route selection.
作者
张英栋
乔新
周圣川
ZHANG Yingdong;QIAO Xin;ZHOU Shengchuan(Qingdao Surveying&Mapping Institute,Qingdao 266000,China;National-local Joint Engineering Research Center of Integration and Application of Marine-terrestrial Geographical Information(Qingdao),Qingdao 266000,China)
出处
《测绘通报》
CSCD
北大核心
2022年第11期157-161,共5页
Bulletin of Surveying and Mapping
关键词
实景三维
输变电工程
选线规划
视觉分析
3D real scene
power transmission and transformation project
route selection planning
visual analysis