Design method, device, device and readable storage medium for anti-slide pile
A design method and technology of anti-slide piles, applied in the field of anti-slide piles, can solve the problems of overly conservative design, increased disaster occurrence, high time cost, etc., and achieve the effects of excellent accuracy rate, economic cost saving, and improved accuracy
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Embodiment 1
[0029] like figure 1 As shown, this embodiment provides a method for designing an anti-sliding pile, and the method includes step S1, step S2, step S3 and step S4.
[0030] Step S1, obtaining a historical database, which includes the engineering geological information and design information of the anti-sliding piles that have completed construction;
[0031] The data included in the engineering geological information can be adjusted according to the data collected by the user. In this embodiment, the engineering geological information includes the earthquake magnitude of the geological region, the rainfall of the geological region, the type of rock and soil material of the slope, the Bulk density, friction angle in rock and soil body, cohesion, slope angle, rock and soil layer type of pile body reinforcement layer, elastic modulus of reinforcement layer, shear modulus, load size of top of slope, slope profile shape, design edge Slope range information; design information incl...
Embodiment 2
[0073] like figure 2 As shown, this embodiment provides an anti-sliding pile design device, the device includes a first acquisition module 701 , a construction module 702 , a training module 703 and a prediction module 704 .
[0074] The first acquisition module 701 is used to acquire a historical database, where the historical database includes engineering geological information and design information of the anti-sliding piles that have completed construction;
[0075] A construction module 702, configured to construct a sample set based on the historical database;
[0076] The training module 703 is used to train the convolutional neural network model by using the sample set based on the MobileNet optimization technology to obtain a trained convolutional neural network;
[0077] The prediction module 704 is configured to use the trained convolutional neural network to predict the design information of the anti-sliding pile that needs to be constructed currently.
[0078] ...
Embodiment 3
[0102] Corresponding to the above method embodiments, the embodiments of the present disclosure also provide design equipment for anti-sliding piles.
[0103] image 3 It is a block diagram of an anti-sliding pile design apparatus 800 according to an exemplary embodiment. like image 3 As shown, the design device 800 of the anti-sliding pile may include: a processor 801 and a memory 802 . The anti-slide pile design device 800 may also include one or more of a multimedia component 803 , an I / O interface 804 , and a communication component 805 .
[0104] Wherein, the processor 801 is used to control the overall operation of the anti-sliding pile design device 800, so as to complete all or part of the steps in the above-mentioned anti-sliding pile design method. The memory 802 is used to store various types of data to support the operation of the anti-sliding pile design apparatus 800, which data may include, for example, instructions for any application or method operating on...
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