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近年来分布式光纤传感技术已成为土工测试领域的一股新生力量,在岩土体尤其是边坡的变形监测中发挥了日益重要的作用。基于该技术构建的边坡智能监测系统能捕捉坡表和坡体内部应变场的时空分布特征。由于光纤监测可获取海量数据,如何对其进行高效的提取、处理和挖掘是该技术应用中的瓶颈。基于MATLAB开发的边坡应变场可视化系统通过用户界面实现了对海量光纤监测数据的识别、去噪、预测分析和可视化展示,并具有边坡稳定状态诊断及预警的功能。在一组室内边坡模型试验中,采用该系统成功实现了边坡应变场监测数据的可视化,并对边坡稳定性相关的预警阈值进行了回归分析,体现了其处理数据方便、快捷、高效、直观等特点。该系统未来将在现场边坡的监测和滑坡预警预报中发挥重要的作用。
In recent years, distributed optical fiber sensing technology has become a new force in the field of geotechnical testing. It has played an increasingly important role in the deformation monitoring of rock and soil, especially in the slope. The intelligent slope monitoring system based on this technology can capture the spatiotemporal distribution of strain field in slope table and slope. Due to the huge amount of data that can be acquired by optical fiber monitoring, how to efficiently extract, process and mine fiber is a bottleneck in the application of this technology. The slope strain field visualization system developed based on MATLAB has realized the identification, denoising, predictive analysis and visual display of mass optical fiber monitoring data through the user interface, and has the function of slope stability state diagnosis and early warning. In a series of indoor slope model tests, the system was used to visualize the monitoring data of slope strain field, and the regression analysis was carried out on the warning thresholds related to the slope stability, which showed that the data processing was convenient, fast and efficient , Intuitive and so on. The system will play an important role in on-site slope monitoring and landslide warning and forecast in the future.