测绘工程项目管理中大数据技术的应用研究

Research on the Application of Big Data Technology in Surveying and Mapping Engineering Project Management

文章研究了大数据技术在测绘工程项目管理中的应用,提出了一系列质检方法,以提高数据处理的效率和准确性。通过数据预处理、挖掘运行和结果整理三个步骤,对大数据挖掘的过程进行了详细分析。采用聚类分析和Apriori算法设定交互质检目标,并结合双向三维数据挖掘建立了质检模型。测试结果表明,文章设计的质检方法在准确性、效率和适应性方面均显著优于传统方法,为测绘工程项目管理提供了有力支持。

This paper studies the application of big data technology in surveying and mapping project management,and puts forward a series of quality inspection methods to improve the efficiency and accuracy of data processing.Through three steps of data preprocessing,mining operation and result sorting,the process of big data mining is analyzed in detail.Cluster analysis and Apriori algorithm are used to set the interactive quality inspection target,and the quality inspection model is established by combining two-way 3D data mining.The test results show that the quality inspection method designed in this paper is significantly better than the traditional method in terms of accuracy,effi ciency and adaptability,which provides strong support for the management of surveying and mapping engineering projects.