%0 Journal Article
%T 测绘地理信息工程中大数据技术的应用分析<br>Application Analysis of Big Data Technology in Surveying and Mapping Geographic Information Engineering
%A 徐家虎
%J Hans Journal of Civil Engineering
%P 876-883
%@ 2326-3466
%D 2024
%I Hans Publishing
%R 10.12677/hjce.2024.135094
%X 随着大数据技术的快速发展，测绘地理信息工程领域正在经历一场深刻的变革。大数据技术的应用不仅提高了工作效率，促进了协同工作，还完善了测绘地理信息系统。本文首先对学者们的研究内容进行了综述，发现对于大数据技术在测绘地理信息工程中的应用没有系统的研究。因此，本文从大数据技术的概念及其在测绘地理信息工程中的应用优势出发进行研究。接着，本文分析了大数据技术可以在城市测绘、城乡规划和智慧城市建设三个应用方向进行应用，然后针对大数据技术的应用难点提出了相应的应用措施。最后，本文还讨论了大数据应用中可能面临的风险，并提出了相应的风险应对措施。通过这些措施，可以有效降低风险，确保测绘地理信息工程的顺利进行和可持续发展。<br />
With the rapid development of big data technology, the field of surveying and mapping geographic information engineering is undergoing a profound change. The application of big data technology not only improves work efficiency and promotes collaborative work, but also improves the surveying and mapping geographic information system. This article first summarizes the research content of scholars and finds that there is no systematic research on the application of big data technology in surveying and mapping geographic information engineering. Therefore, this article conducts research based on the concept of big data technology and its application advantages in surveying and mapping geographic information engineering. Next, this article analyzes the three application directions in which big data technology can be applied in urban surveying and mapping, urban and rural planning, and smart city construction, and then proposes corresponding application measures to address the application difficulties of big data technology. Finally, this article also discusses the risks that may be faced in big data applications and proposes corresponding risk countermeasures. Through these measures, risks can be effectively reduced and the smooth progress and sustainable development of the surveying and mapping geographic information engineering can be ensured.
%K 测绘地理信息工程，大数据技术，数据处理与分析<br>Surveying and Mapping Geographic Information Engineering
%K Big Data Technology
%K Data Processing and Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=88580