The invention discloses a loess road slope health monitoring method, which comprises the following steps of: periodically carrying out aerial survey by an unmanned aerial vehicle to obtain multi-stage image data of a slope along a road and a surrounding area, inputting the obtained image data into a trained slope disease identification neural network model, and identifying the loess road slope based on an image identification theory. According to the method, the disease types and distribution characteristics of the investigated road slope are preliminarily recognized, meanwhile, a slope live-action three-dimensional model and a three-dimensional point cloud model are generated by using unmanned aerial vehicle image data, slope diseases are recognized more efficiently and quantitatively by comparing point cloud models in different periods, and then a three-dimensional numerical value grid model can be quickly obtained based on the live-action three-dimensional model. According to the method, the stability coefficients of the side slope under different working conditions can be calculated, then potential key monitored side slope objects along the highway are determined, GNSS monitoring stations are reasonably arranged on the key monitored side slope on the basis of early theoretical calculation and numerical simulation, slope surface displacement is continuously monitored in real time, and after accumulative deformation has a clear tendency, the stability coefficients of the side slope are calculated. Furthermore, the dangerous slope is cooperatively monitored in a multi-dimensional and all-dimensional manner by adopting a conventional monitoring technical means, so that the aim of early warning in advance is fulfilled.

    本发明公开了一种黄土公路边坡健康监测方法,通过定期开展无人机航测,获得公路沿线边坡及周边区域的多期影像数据,将获取的影像数据输入到训练好的边坡病害识别神经网络模型中,基于图像识别理论,初步识别出所调查公路边坡的病害类型及分布特征,同时利用无人机影像数据生成边坡实景三维模型以及三维点云模型,通过对比不同期次点云模型更加高效定量的识别出边坡病害,再基于实景三维模型可快速获得三维数值网格模型,可计算不同工况下边坡的稳定性系数,进而确定公路沿线潜在重点监测边坡对象,在前期的理论计算、数值仿真的基础上合理地在重点监测边坡上布设GNSS监测站,实时连续监测坡体表面位移,在累计变形有明确趋势性之后,进一步采用常规的监测技术手段,多维度全方位的协同监测危险边坡,达到提前预警的目的。


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    Titel :

    Loess road slope health monitoring method


    Weitere Titelangaben:

    一种黄土公路边坡健康监测方法


    Beteiligte:
    WANG CHUBIN (Autor:in) / ZHENG WANPENG (Autor:in) / LUAN JIHAO (Autor:in) / DU YUAN (Autor:in) / MA YIFEI (Autor:in) / GOU CHAOYONG (Autor:in) / WANG XINGTAO (Autor:in) / HONG WEI (Autor:in)

    Erscheinungsdatum :

    2022-04-15


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G01D MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE , Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein / B64C AEROPLANES , Flugzeuge / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V / G08C Übertragungssysteme für Messwerte, Regel-, Steuer- oder ähnliche Signale , TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS



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