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

Dam break grading early-warning index extraction method for homogeneous earth dam

A technology of early warning indicators and extraction methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as non-linear relationship of variables cannot be considered

Active Publication Date: 2015-09-16
NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, principal component analysis (PCA) method is used for principal component analysis, considering that the PCA algorithm cannot consider the nonlinear relationship between variables

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
  • Dam break grading early-warning index extraction method for homogeneous earth dam
  • Dam break grading early-warning index extraction method for homogeneous earth dam
  • Dam break grading early-warning index extraction method for homogeneous earth dam

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] The present invention will be further described below in conjunction with specific examples.

[0088] like figure 1 Shown is the flow chart of principal component analysis in the present invention.

[0089] like figure 2 Shown is the flow chart of core principal component analysis in the present invention.

[0090] To verify with homogeneous earth dam failure test:

[0091] The present invention analyzes and studies the monitoring data of a homogeneous earth dam entity test to test the rationality of the method of the present invention.

[0092] 1 Project overview and test process

[0093] 1.1 Project overview

[0094] The maximum storage capacity of the test reservoir is 100,000 m 3 , the water retaining structure is a homogeneous cohesive earth dam, the highest earth dam is 9.7m high, the dam crest is 120m long, 3m wide, and the average dam width is 27.25m. Loam soil with a clay content of 11.5%, a degree of compaction of 97%, and a cohesion C value ranging fr...

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 discloses a dam break grading early-warning index extraction method for a homogeneous earth dam. The method comprises the steps that a sliding window method is used for dividing a value measuring sequence, a earth dam monitoring physical quantity sliding window matrix is extracted based on principal component analysis (PCA) or kernel principal component analysis algorithm (KPCA), and the evolution of the principal component number / principal component matrix norm with earth dam conditions on the basis of 85% contribution rate is determined. Actual dam break tests indicate that the enlargement and the sudden changes of the two indexes correspond to the condition deterioration and the ultimate break of an earth dam respectively, and it is full demonstrated that the principal component number or the principal component matrix norm can be used as the first-grade early-warning index and the second-grade early-warning index for the safety condition of the earth dam; mutual checking can be conducted between the principal component number and the principal component matrix norm, wherein the first-grade early-warning index corresponds to the earth dam condition deterioration, and the second-grade early-warning index corresponds to the earth dam break.

Description

technical field [0001] The invention relates to a PCA and KPCA-based extraction method for grading early warning indicators of homogeneous earth dam failure. Background technique [0002] At present, earth-rock dam failure tests at home and abroad mainly include indoor small-scale model dam failure tests and physical dam site failure tests. The indoor small-scale model dam failure tests cannot reflect the actual situation of the prototype dam due to the large scale difference between the model and the prototype. collapse process. [0003] The monitoring data is a true reflection of the behavior of the earth dam, but there are also problems such as incomplete information of a single measuring point, including instrument measurement errors, and insufficient representativeness of the measuring points. However, the existing early warning index extraction methods are all aimed at individual measuring points, without considering the incomplete information of a single measuring po...

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): G06F19/00
Inventor 方卫华张娜董万军储华平周凌辉陆敏陈允平卞红娟
Owner NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES
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