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作 者:冯涛[1] 舒畅 郑洪[1] 张占荣[1] 姚洪锡[1] 师学明[2] Feng Tao;Shu Chang;Zheng Hong;Zhang Zhanrong;Yao Hongxi;Shi Xueming(China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan Hubei 430063,China;School of Geophysics and Geomatics,China University of Geosciences,Wuhan Hubei 430074,China)
机构地区:[1]中铁第四勘察设计院集团有限公司,湖北武汉430063 [2]中国地质大学地球物理与空间信息学院,湖北武汉430074
出 处:《工程地球物理学报》2024年第3期363-371,共9页Chinese Journal of Engineering Geophysics
基 金:国家重点研发计划项目(编号:2021YFB2600402)。
摘 要:为解决岩土试验数据采集和应用数据分散、人工处理效率低、非标数据难以建模等问题,运用流程重组、物联网、数据挖掘等多种现代信息技术,对岩土试验数字化工程进行了整体规划和实施,对岩土试验数据管理平台的业务架构和功能架构进行了设计,基于J2EE(Java 2 Platform Enterprise Edition)架构研发了岩土试验数据管理平台和试验数据中心。岩土试验中通过物联网二维码的应用,样本识别准确率和效率得到了提升,岩土试验的总体周期大幅缩短。通过压力试验机升级改造和软件集成,单轴抗压强度试验效率提升了50%以上。岩土试验数据管理平台的建立和升级改造,提升了岩土试验工作效率、岩土试验数据的利用率和测试数据管理水平,获得了良好效益。In order to solve the problems of scattered data collection and application data dispersion,low efficiency of manual processing,and difficulty in modeling non-standard data,various modern information technologies such as process reengineering,internet of things(IoT),and data mining are used in rock experiment data management to carry out the overall planning and implementation of geotechnical test digital engineering.The business architecture and functional architecture of the rock experiment data management platform are designed.Based on J2EE(Java 2 platform enterprise edition)technology,a rock experiment data management platform and rock experiment data center are developed.Through the application of IoT quick response(QR)codes,the accuracy,efficiency and the overall cycle of rock experiment of sample recognition is significantly improved.Through the upgrading and software integration of pressure testing machines,the efficiency of uniaxial compressive strength testing has been improved by more than 50%.The establishment and upgrading of the rock experiment data management platform have improved the efficiency of rock and soil experiment job,the utilization rate of data,and the management level of test data,thus achieving good benefits.
关 键 词:岩土试验 数据管理平台 J2EE 试验效率 物联网
分 类 号:P631[天文地球—地质矿产勘探] P642[天文地球—地质学]
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