A collaborative method to survey and store urban components

Qingyun Tang,Yongliang Du,Guiwen Lan,Donglin Fan

doi:10.1051/e3sconf/202128302037

Qingyun Tang, Yongliang Du + Show 2 more

Open Access

https://doi.org/10.1051/e3sconf/202128302037

Copy DOI

Abstract

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.

Highlights

Urban components are the important part of the city, and are an important data source of the so-called “digital city” [1]
It can be seen from the table that the traditional component data storage is carried out in a timely manner after the end of the field work every day, the component attributes of each field survey must be input one by one, and the working hours of this collaborative survey program is 2 times faster than the traditional technology
The efficiency and time of the rapid survey and storage of the collaborative method are significantly better than the traditional method by the statistics

Summary

Introduction

Urban components are the important part of the city, and are an important data source of the so-called “digital city” [1]. Some existing basic software, such as AutoCAD, ArcGIS, SuperMap, and MapGIS, are able to process urban components data, but they mostly focus on the basic editing function of spatial data, and do not deal with the storage of urban components. In the conventional technical process of urban components survey and storage, field workers rely on basic map data to obtain the geographical location of urban components and record their attribute information in the field. The way of conventional components data storage is easy to cause errors, which are mainly reflected in the following aspects: the first is the spatial position error. This is mainly caused by the measurement equipment and human factors.

Collaborative survey and storage technology of urban components

Case study and analysis

Findings

Conclusion