Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A disease prediction method based on tunnel environmental information

A tunnel environment and prediction method technology, applied in the direction of prediction, instruments, calculation models, etc., can solve the problems of wasting funds, affecting the safe use performance of tunnels, and overhauling structures affecting driving safety, etc., to achieve the effect of reducing financial and material resources

Inactive Publication Date: 2019-03-22
SHANGHAI TONGYAN CIVIL ENGINEERING TECHNOLOGY CORP LTD
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If there are cracks in the tunnel structure, the erosive groundwater will seep into the tunnel structure, which will lead to corrosion of the tunnel lining steel bars, structural concrete corrosion, etc., which will seriously damage the durability of the tunnel structure, thus affecting the safe performance of the tunnel.
Based on the above situation, the overhaul of the structure that affects traffic safety within the design reference period not only wastes a lot of money, but also affects the operation and use of the tunnel.

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
  • A disease prediction method based on tunnel environmental information
  • A disease prediction method based on tunnel environmental information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] refer to figure 1 , 2 , a disease prediction method based on tunnel environment information, including the following steps:

[0017] Step 1: Build a disease prediction model, train and predict the model based on historical data:

[0018] First, collect tunnel environmental data, including tunnel environmental information (stratum information where the tunnel is located, hydrological information, segment type, segment location, etc.), and basic tunnel information (starting and ending mileage of the tunnel, ring number, construction date, etc.).

[0019] Stratum information such as: plain fill, sand, loess, silty clay, clay, pebbles, limestone, etc.;

[0020] Hydrological information such as: rainfall, groundwater level, etc.;

[0021] Segment position such as: standard block, splicing block, etc.

[0022] Sample labeling: the diseased segment is a negative sample, and the normal segment is a positive sample. All samples are divided into training samples and predicti...

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 disease prediction method based on tunnel environmental information, which mainly solves the technical problem that the traditional prediction mode mostly takes a single variable as a parameter and cannot meet the actual disease prediction effect. The technical proposal of the invention comprises the following steps: step 1, building a disease prediction model and training the model based on the historical data: firstly, collecting tunnel environment data, including tunnel environment information and tunnel basic information; Sample marking: the diseased segment is negative sample, and the normal segment is positive sample; Then the machine learning algorithm is selected to iterate and optimize the model until the accuracy of the model meets the requirements. 2,classify that tunnel disease identification level: from the beginning mileage to the end mileage of the tunnel, jud whether the segments of the tunnel position are disease or not one by one, outputting the different diseases by classification through threshold setting, and finally obtaining all the diseases of each grade in the tunnel.

Description

technical field [0001] The invention relates to a tunnel environment evaluation method, in particular to a disease prediction method based on tunnel environment information. Background technique [0002] According to the incomplete statistical data on tunnel diseases, about 1 / 3 of the total tunnels have problems such as lining structure cracks and water leakage. Through investigation, it is found that a considerable proportion of tunnels have cracks and water leakage after completion and operation, and some tunnels even have lining cracks and other diseases during construction. If there are cracks in the tunnel structure, erosive groundwater will seep into the tunnel structure, which will lead to corrosion of the tunnel lining steel bars and structural concrete corrosion, which will seriously damage the durability of the tunnel structure and affect the safe performance of the tunnel. Based on the above situation, the overhaul of the structure affecting traffic safety within...

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): G06Q10/04G06Q50/08G06N20/00
CPCG06Q10/04G06Q50/08
Inventor 刘学增何喆卿李志国
Owner SHANGHAI TONGYAN CIVIL ENGINEERING TECHNOLOGY CORP LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com