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Intelligent steel support axial force adjusting method based on bp neural network

A bp neural network and intelligent adjustment technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as no relevant standards, lag, and large differences

Active Publication Date: 2021-03-09
SHANGHAI MECHANIZED CONSTR GRP
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AI Technical Summary

Problems solved by technology

[0003] However, there are many uncertain factors in the value of the axial force required for the steel support, such as soil density, temperature changes, and traffic pipelines. The axial force value required for the steel support is usually different from the design value, and the As conditions such as weather, surrounding environment and geological creep change, the supporting axial force of the steel support also changes dynamically.
In addition, in the actual construction process, if the monitoring deformation of the foundation pit is found to be too large, the axial force value of the steel support needs to be adjusted. However, there is no relevant standard for the adjustment of the specific axial force value. It is often adjusted based on the professional experience of relevant personnel, and then after observation One day's deformation data is used to judge whether the axial force adjustment is appropriate. This axial force adjustment method is uncertain and the adjustment time lags behind the deformation that has occurred

Method used

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  • Intelligent steel support axial force adjusting method based on bp neural network
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Embodiment Construction

[0029] The specific implementation manner of the present invention will be described in more detail below with reference to schematic diagrams. The advantages and features of the present invention will be more apparent from the following description. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0030] Such as figure 1 As shown, this embodiment provides a method for intelligent adjustment of steel support axial force based on bp neural network, including:

[0031] Step S1: After the steel support is installed, set the initial axial force of the steel support axial force servo system according to the design value;

[0032] Step S2: Collect the loading days of the axial force of the steel support axial force servo system, and collect the data of the average value of the axial force of the steel support and...

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Abstract

The invention provides a steel support axial force intelligent adjustment method based on a bp neural network. The method comprises the following steps that an initial axial force is set according toa design value; data of loading days of axial force of a steel support, an axial force mean value of the steel support every day and accumulated deformation of a foundation pit every day are acquired,training is conducted by taking the three data as samples through a bp neural network model, and parameters of the bp neural network model are stored after the training result meets requirements; theaxial force mean value of the same day and the loading days of the next day in the sample data are input into the bp neural network model for calculation to obtain the predicted deformation of the foundation pit of the next day; if the predicted deformation of the foundation pit is smaller than a threshold value, the initial axial force is kept; and if the predicted deformation amount is larger than the threshold value, the axial force is adjusted and continuously input into the bp neural network model for calculation until the predicted deformation amount of the foundation pit meets the requirement, and the finally adjusted axial force is taken as a set axial force. The purpose of actively adjusting the axial force in advance to control the deformation of the foundation pit before the deformation of the foundation pit occurs is achieved.

Description

technical field [0001] The invention relates to the technical field of foundation pit engineering construction, in particular to an intelligent adjustment method for steel support axial force based on bp neural network. Background technique [0002] At present, in the construction of foundation pit engineering, steel support support systems are usually used to resist the deformation of the foundation pit, especially for occasions with high requirements for foundation pit deformation, the steel support axial force servo system is often used to control the deformation of the foundation pit. The steel support support system needs to apply a certain axial force to each steel support to prevent deformation of the foundation pit. [0003] However, there are many uncertain factors in the value of the axial force required for the steel support, such as soil density, temperature changes, and traffic pipelines. The axial force value required for the steel support is usually different ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E02D17/04E02D33/00G06F30/27G06N3/04G06N3/08G06F119/14
CPCE02D17/04E02D33/00G06F30/27G06N3/084E02D2300/0029G06F2119/14G06N3/048G06N3/045
Inventor 刘泉王正佳许勇俞嫒妍朱炜金晶付军国李冀清周蓉峰程吉蒋玲玲陈晓明
Owner SHANGHAI MECHANIZED CONSTR GRP
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