摘要
实现高效收集和分析勘察数据,做出准确评估和预测,是当前信息化勘察建设的重点。然而,多源异构的存储和时空异步的数据处理,使得勘察数据往往成为数据孤岛。为此,研究采用了移动互联技术、人工智能、计算机视觉和GIS自动绘制等技术,构建了一款集成多源异构数据管理、工程数据可视化、柱状图生成等模块的智慧数据管理系统,打通了远程场景下的数据堵塞和自动分析问题。通过X市实际数据表明,系统能提升岩土工程的数据采集、处理与可视化效率,对人工智能技术助力智慧勘察领域具备借鉴意义。
It is the construction focus of information survey to collect and analyze survey data efficiently and make accurate evaluation and prediction.However,multi-source heterogeneous storage and spatio-temporal asynchronous data processing make survey data often become data islands.In order to efficiently collect and analyze multi-source heterogeneous survey data,mobile internet technologies,computer vision and GIS automatic drawing technology were adopted in the research,and a smart data management system integrating multi-source heterogeneous data management,engineering data visualization,histogram generation and other analysis modules was built,which solved the problem of data congestion and analysis in remote scenes.The actual data of X City shows that the system can greatly improve the collection,processing and visualization of existing geotechnical engineering data,and it has reference significance for the field of artificial intelligence technology to assist the field of intelligent survey.
作者
冀盼彧
徐利成
刘轩
任沁枭
翁美琳
JI Panyu;XU Licheng;LIU Xuan;REN Qinxiao;WENG Meilin(Guangzhou Transportation Design Institute,Guangzhou 511400,China;Guangzhou University,Guangzhou 511400,China;Zhuhai College of Science and Technology,Zhuhai 519090,China)
出处
《城市勘测》
2023年第6期187-192,共6页
Urban Geotechnical Investigation & Surveying
关键词
岩土工程
勘察数据系统
钻孔数据管理
在线GIS绘制
柱状图生成
geotechnical engineering
survey data system
drilling data management
online GIS mapping
columnar graph generation