Design and implementation of CTD profile observation data accumulation system based on MySQL

Xing-min Li, Tao Dong, Xin-peng Wang, Li-Shan Ma
{"title":"Design and implementation of CTD profile observation data accumulation system based on MySQL","authors":"Xing-min Li, Tao Dong, Xin-peng Wang, Li-Shan Ma","doi":"10.1145/3507548.3507590","DOIUrl":null,"url":null,"abstract":"In order to realize the accumulation of sea temperature, conductivity, pressure, depth, salinity, density and sound profile observation data, a ocean observation data storage system based on database is designed. For efficiently realizing accumulation of ocean observation data, the system makes full use of the advantages of MYSQL database management platform, and orderly stores tens of thousands ofConductivity-Temperature-Depth(CTD) profile observation data. At the same time, the data quality control will be applied to the received hydrological observation data, which improves the quality of the data stored in the database and enhances the data usability. After the system was developed, a simulation environment was set up to test the system. The results show that the system hasrational function design and stable operation, which can well realize the accumulation of CTD profile observation data. The realization of ocean hydrologic profile observation data accumulation provides reliable data source for the subsequent in-depth data-mining and utilization of ocean hydrologic observation data.","PeriodicalId":414908,"journal":{"name":"Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3507548.3507590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In order to realize the accumulation of sea temperature, conductivity, pressure, depth, salinity, density and sound profile observation data, a ocean observation data storage system based on database is designed. For efficiently realizing accumulation of ocean observation data, the system makes full use of the advantages of MYSQL database management platform, and orderly stores tens of thousands ofConductivity-Temperature-Depth(CTD) profile observation data. At the same time, the data quality control will be applied to the received hydrological observation data, which improves the quality of the data stored in the database and enhances the data usability. After the system was developed, a simulation environment was set up to test the system. The results show that the system hasrational function design and stable operation, which can well realize the accumulation of CTD profile observation data. The realization of ocean hydrologic profile observation data accumulation provides reliable data source for the subsequent in-depth data-mining and utilization of ocean hydrologic observation data.
基于MySQL的CTD剖面观测数据积累系统的设计与实现
为了实现海温、电导率、压力、深度、盐度、密度和声廓线观测数据的积累,设计了基于数据库的海洋观测数据存储系统。为高效实现海洋观测数据的积累,系统充分利用MYSQL数据库管理平台的优势,有序存储数万条CTD剖面观测数据。同时对接收到的水文观测数据进行数据质量控制,提高了数据库存储数据的质量,增强了数据的可用性。系统开发完成后,搭建了仿真环境对系统进行了测试。结果表明,该系统功能设计合理,运行稳定,能够很好地实现CTD剖面观测数据的积累。海洋水文剖面观测数据积累的实现,为后续海洋水文观测数据的深度挖掘和利用提供了可靠的数据源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信