摘要
在岩土工程地质勘察行业,土工试验数据通常借助Excel以手工方式录入工程地质勘察数据库来生成成果表、成果图,并进行分析评价,最终形成勘察报告。其表格繁多,数据量大,即便是操作熟手,也存在数据录入效率低下、容易出错且不易被发现的困境。本文通过对土工试验成果表和工程地质勘察数据库这两者数据格式的分析,通过数据监理、智能编码、智能筛选、智能匹配等技术手段直接从土工试验成果表中提取各类土工试验数据至工程地质勘察数据库进行入库操作,显著提高了工作效率,保障了数据的准确性。
In geotechnical engineering geological survey industry,soil test data is typically entered manually by means of excel to engineering geological survey database,then generate the results of the table、the results chart,and analyze and evaluate,and ultimately the formation of the survey report. Usually,There are many forms of soil test data and the amount of data,even if the operating confirmed,there is inefficiency,error- prone and not easily found predicament.In this paper,through the study of both data formats and data supervision,intelligent coding,intelligent filtering,intelligent matching methods to extract the data required for various types engineering survey database direct storage. Ultimately improve the work efficiency,guarantee the accuracy of the data.
出处
《城市勘测》
2015年第4期162-164,共3页
Urban Geotechnical Investigation & Surveying
关键词
土工试验数据
智能
无缝
工程地质勘察数据库
soil test data
intelligent
seamless
engineering geological survey database
