Landslide displacement prediction method and device and electronic equipment
A prediction method and displacement monitoring technology, applied in measuring devices, neural learning methods, instruments, etc., can solve the problem of low prediction accuracy of landslide displacement, and achieve the effect of improving displacement prediction accuracy
Active Publication Date: 2020-01-14
SHENZHEN UNIV +1
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[0005] The embodiment of the present invention provides a landslide displacement prediction method, device and electronic equipment, which are used to solve the problem of low accuracy of the existing landslide displacement prediction
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[0053]In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the specification and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.
[0054] Embodiments of the present invention provide a landslide displacement prediction method, device and electronic equipment to solve the problem of low prediction accuracy of existing landslide displacements. An embodiment of the present invention provides a method for predicting landslide displacement. The execution subject of the method may be, b...
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An embodiment of the invention discloses a landslide displacement prediction method and device and electronic equipment, which are used for solving the problem of low landslide displacement predictionprecision in the prior art. The method comprises the following steps: acquiring displacement monitoring data of each monitoring point in a predetermined number of monitoring points at a predeterminednumber of moments; based on the displacement monitoring data of each monitoring point at the predetermined number of moments, determining landslide displacement spatial relationship data between every two monitoring points in the predetermined number of monitoring points at a first predetermined moment; and taking the displacement spatial relationship data between every two monitoring points as the input of an LSTM prediction model, outputting displacement data of the predetermined number of monitoring points at a second predetermined moment. Based on the displacement monitoring data of eachmonitoring point at the predetermined number of moments and the landslide displacement spatial relationship data between every two monitoring points in the predetermined number of monitoring points atthe first predetermined moment, the landslide displacement of the predetermined number of monitoring points at the second predetermined moment is determined; and based on combination of the time sequence and the space sequence of the landslide displacement, displacement prediction precision is improved.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of landslide displacement prediction, in particular to a landslide displacement prediction method, device and electronic equipment. Background technique [0002] Landslide is a major natural geological disaster in the world, which poses a great threat to the life and property safety of local residents. Studies have shown that landslide displacement is a direct representation of the complex evolution behavior of landslides. Landslide displacement prediction is an effective and reliable method to reduce landslide hazards and realize early warning of landslide hazards. [0003] The existing landslide displacement prediction method is usually to first form the displacement monitoring data collected by the sensor within a period of time to form a displacement time series, then decompose the time series, and then apply various models to predict the decomposed displacements, and finally predi...
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IPC IPC(8): G01B21/02G06K9/62G06N3/04G06N3/08
CPCG01B21/02G06N3/049G06N3/08G06F18/2321
Inventor 李岩山周李刘洋刘星刘瑜王海鹏
Owner SHENZHEN UNIV