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A slope intelligent early warning method and device

A slope and intelligent technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of insufficient measurement accuracy, prone to false alarms, and inability to predict slopes and landslides, so as to improve the accuracy of early warning, Shorten the early warning time and judge the effect of considering factors

Active Publication Date: 2021-08-31
SOUTHWEST JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Existing forecasting devices and forecasting methods cannot accurately predict slopes and landslides. Not only the measurement accuracy is not high enough, but the forecast lead time is short, and false alarms are prone to occur, which instead causes panic among personnel and waste of materials. In the early warning technology, there are few predictions for the position of the sliding surface. The method of predicting the position of the sliding surface through the neural network early warning model and then judging the early warning level is more based and practical.

Method used

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  • A slope intelligent early warning method and device
  • A slope intelligent early warning method and device
  • A slope intelligent early warning method and device

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Experimental program
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Effect test

Embodiment 1

[0073] like figure 1 As shown, this embodiment provides a method for intelligent early warning of slopes, which includes step S1, step S2, step S3 and step S4.

[0074] Step S1, obtaining the geological information of the slope, the model of the slope, the horizontal displacement of each monitoring point in the slope and the vertical displacement of each monitoring point in the slope, the geological information of the slope includes the The coordinate position information of the slope, the weight of the soil of the slope, the property of the soil of the slope, the range of the internal friction angle of the soil of the slope and the cohesion of the soil of the slope scope;

[0075] Step S2, based on the geological information of the slope, calculate the different sliding surface shape information of the slope in the slope model, the horizontal displacement range of each monitoring point arranged in the slope model, and the slope The vertical displacement range of each monito...

Embodiment 2

[0120] like figure 2 As shown, this embodiment provides an intelligent early warning device for slopes, the device includes a first acquisition module 701 , a calculation module 702 , a construction module 703 and a prediction module 704 .

[0121] The first acquisition module 701 is used to acquire geological information of the side slope, the model of the side slope, the horizontal displacement of each monitoring point in the side slope, and the vertical displacement of each monitoring point in the side slope. The geological information of the slope includes the coordinate position information of the slope, the soil weight of the slope, the soil properties of the slope, the internal friction angle range of the soil of the slope, and the slope of the slope. range of soil cohesion;

[0122] The calculation module 702 is configured to calculate, based on the geological information of the side slope, different sliding surface shape information of the side slope in the model of...

Embodiment 3

[0151] Corresponding to the above method embodiments, the embodiments of the present disclosure further provide an intelligent slope early warning device, and a slope intelligent early warning device described below and a slope intelligent early warning method described above may refer to each other correspondingly.

[0152] image 3 It is a block diagram of a slope intelligent early warning device 800 according to an exemplary embodiment. like image 3 As shown, the intelligent slope early warning device 800 may include: a processor 801 and a memory 802 . The slope intelligent early warning device 800 may also include one or more of a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .

[0153] Wherein, the processor 801 is used to control the overall operation of the intelligent slope early warning device 800, so as to complete all or part of the steps in the above-mentioned intelligent slope early warning method. The memor...

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Abstract

The invention provides a slope intelligent early warning method and device. The method includes: obtaining the geological information of the slope, the model of the slope, and the horizontal displacement and vertical displacement of each monitoring point in the slope; based on the geological information of the slope, calculating Different sliding surface shape information of the slope in the slope model, the horizontal displacement range and vertical displacement range of each monitoring point arranged in the slope model; based on the range of internal friction angle, cohesion range, edge The shape information of different sliding surfaces of the slope, the horizontal displacement range and the vertical displacement range of each monitoring point arranged in the slope model are used to construct the neural network model; according to the constructed neural network model, the horizontal displacement and vertical displacement range of each monitoring point in the slope Based on the predicted results and the soil weight of the slope, the early warning level of the slope is obtained. The invention does not need a large amount of historical monitoring data to carry out early warning to the existing slope engineering.

Description

technical field [0001] The invention relates to the technical field of mountain disasters, in particular to a slope intelligent early warning method and device. Background technique [0002] The existing forecasting devices and forecasting methods cannot make more accurate forecasts for side slopes and landslides, not only the measurement accuracy is not high enough, the forecast lead time is short, but also false alarms are prone to occur, causing panic among personnel and waste of materials. In the early warning technology, there are few predictions for the position of the sliding surface. The method of predicting the position of the sliding surface through the neural network early warning model and then judging the early warning level is more basis and practical. SUMMARY OF THE INVENTION [0003] The purpose of the present invention is to provide a slope intelligent early warning method and device to improve the above problems. [0004] In order to achieve the above pu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08G06F119/14
CPCG06N3/04G06N3/08G06F30/27G06F2119/14
Inventor 杨涛高福洲张俊云李博凯张哲陈怀林吴羿君
Owner SOUTHWEST JIAOTONG UNIV
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