Application of time series database in Guizhou Province geological disaster monitoring equipment operation maintenance scheduling platform
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摘要: 本文分析了目前贵州省地质灾害监测设备运行维护调度平台对海量时空监测数据的存储和访问需求，提出了引入时序数据库技术来解决传统数据库在处理海量运维调度数据时碰到的存储容量和访问效率方面问题的解决方案。基于时序数据库技术对贵州省地质灾害监测设备运行维护调度平台进行升级和重构，取得显著成效。
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关键词:
- 时序数据库 /
- InfoEarth ThingDB /
- 地质灾害监测平台 /
- 数字化管理
Abstract: This paper analyzes the storage and access requirements of massive spatio-temporal monitoring data in the Guizhou Povince gelogical disaster monitoring equipment operation mintenance sheduling platform, and proposes a solution to solve the problems of storage capacity and access efficiency in traditional database when dealing with massive operation and maintenance scheduling data. Based on the design of time series database, the Guizhou Povince gelogical disaster monitoring equipment operation maintenance sheduling platform has been upgraded and reconstructed. -
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[1] 何满潮. 滑坡地质灾害远程监测预报系统及其工程应用[J]. 岩石力学与工程学报, 2009, 28(6):1081-1090.[HE M C. Real-time remote monitoring and forecasting system for geological disasters of landslides and its engineering application[J]. Chinese Journal of Rock Mechanics and Engineering, 2009, 28(6):1081-1090.(in Chinese)]
[2] 冯红伟. 数据挖掘技术的研究及应用[D]. 西安:西北工业大学, 2002.[FENG H W.Research and application of data mining technology[D].Xi'an:Northwestern Polytechnical University, 2002.(in Chinese)]
[3] 贾澎涛, 何华灿, 刘丽, 等. 时间序列数据挖掘综述[J]. 计算机应用研究, 2007, 24(11):15-18.[JIA P T, HE H C, LIU L, et al. Overview of time series data mining[J]. Application Research of Computers, 2007, 24(11):15-18.(in Chinese)]
[4] 吕炳潮, 杨扬, 伍民友. 实时信息的理论研究及应用[J]. 计算机工程与设计, 2010, 31(18):4012-4014.[LYU B C, YANG Y, WU M Y.Research on theory of real-time information and application[J]. Computer Engineering and Design, 2010, 31(18):4012-4014.(in Chinese)]
[5] 王洪辉, 李鄢, 庹先国, 等. 地质灾害物联网监测系统研制及贵州实践[J]. 中国测试, 2017, 43(9):94-99.[WANG H H, LI Y, TUO X G, et al. Development of geological hazards monitoring system based on IoT andapplication in Guizhou Province[J]. China Measurement & Testing, 2017, 43(9):94-99.(in Chinese)]
[6] 张宏斌. 地质灾害综合监测数据库设计[J]. 电子技术与软件工程, 2019(18):175-176.[ZHANG H B..Design of comprehensive monitoring database for geological hazards[J]. Electronic Technology & Software Engineering, 2019(18):175-176.(in Chinese)]
[7] STRUCKOV A, YUFA S M, VISHERATIN A A, et al. Evaluation of modern tools and techniques for storing time-series data[J]. Procedia Computer Science, 2019, 156:19-28.
[8] Information Technology; Studies Conducted by C. Li et al on Information Technology Recently Reported (FluteDB:An efficient and scalable in-memory time series database for sensor-cloud)[J]. Computers, Networks & Communications,2018
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