高级检索

    边坡监测数据可视化处理及分析

    Visualization Processing and Analysis of Slope Monitoring Data

    • 摘要: 该文针对边坡监测系统和数据分析在工程监测应用中存在的实际问题,基于Vue3框架和Element Plus开源备件库,开发并验证了一套涵盖数据采集、处理、展示及分析全流程的可视化分析系统。该系统实现了位移方向自动转换,统一了现场监测系统与数据分析的需求;采用数学平均法将一定时间区间内监测数值取平均值,再对其进行平滑处理,解决了因监测设备精度不足造成的数据频繁波动问题;以稳定日期选取方式解决了内部位移数据的稳定性不足的问题;以时空对齐方式实现了监测数据的三维可视化展示。在此基础上,进一步建立了适用于本系统的边坡监测数据关联分析和融合分析标准,实现了对边坡变形类型、发展阶段、诱因的有效判别。该系统可配合既有地质灾害风险监测平台使用,数据来源丰富,数据可视化分析可操作性强、自动化程度高,可为同类工程边坡监测数据的深度分析提供参考。

       

      Abstract: Aiming at the practical problems existing in the application of a slope monitoring system and data analysis in engineering monitoring, a set of visual analysis system covering the entire process of data collection, processing, display, and analysis is developed and verified based on the Vue3 framework and Element Plus open source component library. This system realizes the automatic conversion of displacement directions and unifies the requirements of on-site monitoring system and data analysis. It achieves smooth processing of monitoring data by adopting the average method of monitoring values within a specific time interval, thus solving the problem of frequent data fluctuations caused by insufficient accuracy of monitoring equipments. It addresses the low stability issue of internal displacement data by means of stable date selection and realizes three-dimensional visual display of monitoring data through spatio-temporal alignment. Furthermore, it establishes standards for association analysis and fusion analysis of slope monitoring data that applicable to this system, enabling effective discrimination of slope deformation types, development stages, and inducing factors.The system can be used in conjunction with existing geological disaster risk monitoring platforms, featuring rich data sources, strong operability of data visualization analysis, and a high degree of automation. It can provide references for the in-depth analysis of slope monitoring data in similar engineering projects.

       

    /

    返回文章
    返回