Tunnel surrounding rock geological information prediction method based on built tunnel information intelligent identification

A technology of intelligent identification and tunnel information, which is applied in the field of rock tunnel engineering, can solve the problems of low precision of tunnel surrounding rock geological prediction model and insufficient utilization of tunnel surrounding rock geological information, so as to improve the prediction model, improve reliability and high The effect of forecast accuracy

Active Publication Date: 2021-04-06
SOUTHEAST UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a tunnel surrounding rock geological information prediction method based on intelligent identification of built tunnel information, overcomes the defects in the prior art, and solves the insufficient utilization of tunnel surrounding rock geological information in built tunnel engineering and the low accuracy of tunnel surrounding rock geological prediction models The problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tunnel surrounding rock geological information prediction method based on built tunnel information intelligent identification
  • Tunnel surrounding rock geological information prediction method based on built tunnel information intelligent identification
  • Tunnel surrounding rock geological information prediction method based on built tunnel information intelligent identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0030] This application aims to provide a basis for rapid prediction of engineering geological information, thereby reducing safety problems caused by engineering geological uncertainty; figure 1 As shown, it is a schematic diagram of the entire prediction method flow. It can be seen from the figure that the entire flow diagram includes several steps: data storage, data screening, model building, training model, and model prediction, that is, the engineering geological The information is classified and stored, and the clustering algorithm is used to filter the data of the built tunnel; then based on the data screening, the BP neural network prediction model is...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a tunnel surrounding rock geological information prediction method based on built tunnel information intelligent identification, and the method comprises the steps: carrying out the classification and storage of engineering geological information through data preprocessing and formatting, and carrying out the data screening of built tunnel information through a clustering algorithm; establishing a BP neural network prediction model on the basis of data screening, carrying out training, and verifying the reliability of the model; and finally predicting surrounding rock geological information of an unknown section of the tunnel by using the completely trained model. The tunnel surrounding rock geological information prediction model based on built tunnel information intelligent identification has good universality and high prediction precision, can fully consider built tunnel engineering surrounding rock data, and carries out deduction and dynamic update on tunnel surrounding rock geological information, therefore, more reliable surrounding rock geological information is obtained for fine analysis and design of tunnel engineering, and the method is suitable for prediction of most tunnel surrounding rock geological information.

Description

technical field [0001] The invention relates to a method for predicting geological information of surrounding rock of a tunnel based on intelligent identification of information of built tunnels, and belongs to the technical field of rock tunnel engineering. Background technique [0002] In tunnel engineering, due to the influence of various complex geological processes, the acquisition of geological information of the rock mass has the characteristics of time progression, spatial variability, and difficulty in obtaining local information. During the actual implementation of the project, subject to various uncertainties in geological information, it is often necessary to infer the geological information of the tunnel under construction based on the information of the already built tunnel. Therefore, in order to accurately evaluate the geological information of the surrounding rock of the tunnel under construction, it is necessary to On the basis of considering the influence ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/08G06K9/62G06N3/04G06N3/08
CPCG06Q10/04G06Q50/08G06N3/084G06N3/044G06F18/23
Inventor 张琦王宁李建春蒋擎何磊张宸浩沈益鑫郑彦龙
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap