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Landslide displacement prediction method and device and storage medium

A prediction method and displacement technology, applied in the direction of prediction, design optimization/simulation, special data processing applications, etc., can solve the problems of single prediction model and low prediction accuracy, achieve reliable prediction results, and improve the effect of prediction

Active Publication Date: 2020-11-06
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

The above models have their own characteristics and scope of application, but they all belong to a single prediction model, and the prediction accuracy is generally not high

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  • Landslide displacement prediction method and device and storage medium
  • Landslide displacement prediction method and device and storage medium
  • Landslide displacement prediction method and device and storage medium

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0032] refer to figure 1 , figure 1 It is a structural schematic diagram of the landslide displacement prediction equipment involved in the hardware operating environment of the embodiment of the present invention.

[0033] Such as figure 1 As shown, the landslide displacement prediction device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a client interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The customer interface 1003 may include a display screen (Display). The optional customer interface 1003 may also include a standard wired interface and a wi...

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Abstract

The invention provides a landslide displacement prediction method and device, and a storage medium. The landslide displacement prediction method comprises the following steps: obtaining historical monitoring data of landslide deformation induction factors and landslide displacement in a preset time as samples; establishing a neural network quantile regression model to obtain landslide displacementprediction results y of the m neural network quantile regression base learners; utilizing a kernel density estimation method to obtain a probability distribution function of a landslide displacementprediction result; and taking the probability distribution function as a weight, and obtaining a final combined prediction value of the landslide displacement through weighted average. The technical scheme provided by the invention has the beneficial effects that by utilizing conditional quantiles, the probability density function of each landslide displacement is obtained through a kernel densityestimation method, the final combined prediction value of the landslide displacement is obtained through weighted average, multiple prediction models can be subjected to weighted combination, the combined prediction model can eliminate large deviation generated by a single prediction model, and the reliability and precision of landslide displacement prediction are remarkably improved.

Description

technical field [0001] The invention relates to the technical field of landslide displacement prediction, in particular to a landslide displacement prediction method, equipment and storage medium. Background technique [0002] Landslide is a kind of extremely destructive geological disaster, which is widely distributed all over the world. At present, landslide disaster has become one of the types of geological disasters with the highest frequency and the greatest loss. The prediction of landslide displacement can predict the future development trend of landslide deformation, which is of great significance to disaster prevention and mitigation, and is one of the basic tasks of landslide disaster prevention and control. [0003] In 1965, Japanese scholar Ditaka Saito put forward the classic theory of landslide time prediction based on strain rate based on laboratory test data. Since then, landslide prediction has attracted widespread attention from scholars at home and abroad,...

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Application Information

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IPC IPC(8): G06F30/20G06Q10/04G06N3/04
CPCG06F30/20G06Q10/04G06N3/045
Inventor 马俊伟牛晓旭张俊荣刘晓邹宗兴
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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