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地震 ›› 2023, Vol. 43 ›› Issue (1): 185-197.doi: 10.12196/j.issn.1000-3274.2023.01.014

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基于B/S的钻孔应变数据可视化分析平台

李富珍1, 任天翔2, 张怀1, 石耀霖1   

  1. 1.中国科学院大学地球与行星科学学院, 计算地球动力学重点实验室, 北京 100049;
    2.中国地质科学院地球深部探测中心, 北京 100037
  • 收稿日期:2022-04-12 修回日期:2022-06-01 出版日期:2023-01-31 发布日期:2023-05-15
  • 通讯作者: 张怀, 教授。 E-mail: hzhang@ucas.ac.cn
  • 作者简介:李富珍(1994-), 女, 陕西延安人, 博士研究生, 主要从事地球物理研究。
  • 基金资助:
    国家杰出青年科学基金项目(41725017); 国家自然科学基金项目(U1839207)

Visual Analysis Platform of Borehole Strain Data Based on B/S

LI Fu-zhen1, REN Tian-xiang2, ZHANG Huai1, SHI Yao-lin1   

  1. 1. Key Laboratory of Computational Geodynamics, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
    2. SinoProbe Center, Chinese Academy of Geological Sciences, Beijing 100037, China
  • Received:2022-04-12 Revised:2022-06-01 Online:2023-01-31 Published:2023-05-15

摘要: 随着四分量钻孔应变观测数据的积累和观测可靠性的提升, 提高钻孔应变观测数据的处理分析和可视效率是当前钻孔应变观测研究的重要任务。 钻孔应变观测数据在超宽频带内具有高分辨率, 使得钻孔应变观测对地震和地震预报研究具有重要意义。 利用正应力花瓣图表示法来显示地应力的变化, 不仅有助于定性分析台站所处地点的相对地应力变化, 也可以定量读取在某时刻任一方向上观测到的正应力。 本文通过这种方法与数据可视化技术结合, 以图表数据结合地图展示作为平台主体, 搭建了基于B/S体系结构的四分量钻孔应变数据可视化分析平台。 该平台可以直观展示钻孔应变仪记录的地应力时空变化, 实现钻孔应变数据的可视化分析与多用户共享访问。

关键词: 四分量钻孔应变数据, 正应力花瓣图, 数据可视化

Abstract: With the accumulation of four-component borehole strain observation data and the increase of seismic stations, it is important to improve the efficiency of processing and analysis of these data. Due to the high resolution of borehole strain observation data in an ultra-wide frequency band, borehole strain observation data are significant for earthquake and earthquake prediction research. Using the normal stress petal diagram to display the change of in-situ stress, we can not only qualitatively analyze the relative in-situ stress change at the station, but also quantitatively read the normal stress observed in any direction at a certain time. In this paper, this method is combined with data visualization technology and chart data combined with map display as the main body of the platform builds a visualization analysis platform of four-component strain data based on B/S architecture. This platform can intuitively display the spatiotemporal variation law of in-situ stress recorded by the borehole strain gauge and realize the visual analysis and interaction of borehole strain data and shared access by multiple users.

Key words: Four-component borehole strain observation data, Normal stress petal diagram, Data visualization

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