Research on the Application of Big Data Technology in Surveying and Mapping Engineering Project Management
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 oper-ation 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 signif-icantly better than the traditional method in terms of ac-curacy,efficiency and adaptability,which provides strong support for the management of surveying and mapping engineering projects.
surveying and mapping engineering project managementbig data technologysurveying and mapping datadata preprocessing
NETL
NSTL
万方数据
