Issue |
E3S Web Conf.
Volume 283, 2021
2021 3rd International Conference on Civil, Architecture and Urban Engineering (ICCAUE 2021)
|
|
---|---|---|
Article Number | 02037 | |
Number of page(s) | 6 | |
Section | Urban Planning and Protection of Natural Environment Facilities | |
DOI | https://doi.org/10.1051/e3sconf/202128302037 | |
Published online | 07 July 2021 |
A collaborative method to survey and store urban components
1 College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, Guangxi, 541006, China
2 Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, Guangxi, 541006, China
* Corresponding author's e-mail: 649811715@qq.com
Urban components are the important part of the city, and the rapid and efficient survey of urban components is a key requirement of urban digitization. In this paper, a method of the collaborative survey and storage of urban components is proposed. The national standard code for urban components survey is optimized to accelerate the survey and storage of urban components, and the time cost of error discovery is shorten by using AutoCAD to check the spatial location and employing a VBA macro programme to search for the attribute data errors. At the same time, a collaborative processing flow of components data is constructed through ArcPy to further speed up the storage of urban components. The experiment of urban components survey in Wanxiu District of Wuzhou City shows that this method can effectively reduce the complexity of urban component data storage procedure and the error rate. Compared with the traditional method, the proposed method is about 2 times more efficient to input the urban component data into the database.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.