Block stone side slope catastrophe danger pre-warning and forecasting method

A catastrophe and slope technology, applied in neural learning methods, forecasting, biological neural network models, etc., can solve problems such as low precision and cumbersome implementation, achieve accurate prediction, improve the accuracy of early warning and forecast, and ensure timeliness

Inactive Publication Date: 2018-06-29
TONGJI UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods require a lot of expert experience, and are generally applicable to the prediction of rocky slopes, but the prediction of instability of crushed ston

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
  • Block stone side slope catastrophe danger pre-warning and forecasting method
  • Block stone side slope catastrophe danger pre-warning and forecasting method
  • Block stone side slope catastrophe danger pre-warning and forecasting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] Such as figure 1 As shown, a method for early warning and forecasting of catastrophic hazards on broken rock slopes includes the following steps:

[0048] S1. Real-time data collection through the rainfall monitoring station with rain gauge, soil infiltration meter and displacement meter set up on site;

[0049] S2, through manual collection of on-site cracks and vegetation coverage;

[0050] S3, build the recurrent neural network model (RNN) of the catastrophe time of the broken rock slope according to the data collected in steps S1 and S2;

[0051] S4, according to the data collected in steps S1 and S2, establish a continuous Markov chain probability model of the catastrophe time of the broken rock slope;

[0052] S5. Synthesize the models established in steps S3 and S4 by weighted average to obtain the final catastrophe time prediction model, and perform early warning and forecast on the catastrophe danger of the rubble rock slope before the critical damage time or...

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 block stone side slope catastrophe danger pre-warning and forecasting method. The method comprises the following steps of: 1, acquiring data in real time through a rain gauge, a soil infiltration meter and a displacement meter on the scene; 2, acquiring a fissure condition and a plant coverage condition at the scene through manpower; 3, constructing a recurrent neural network model of block stone side slope catastrophe time according to the data acquired in the steps 1 and 2; 4, establishing a continuous Markov chain probability model of the block stone side slope catastrophe time according to the data acquired in the steps 1 and 2; 5, synthesizing the models of the steps 3 and 4 through weighted average so as to obtain a final prediction model, and before a critical failure time or an instability time, carrying out early warning and forecasting on a block stone side slope catastrophe danger. Compared with the prior art, the method is capable of carrying outearly warning and forecasting on block stone side slope catastrophe dangers more reasonably and more practicably, and has the features of being multi-parameterized and dynamic.

Description

technical field [0001] The invention relates to the field of accumulation body slope geological disaster engineering, in particular to a method for early warning and forecasting of catastrophe hazards of broken rock slopes. Background technique [0002] China is one of the countries with the worst landslides in the world. Only in the six years from 2006 to 2011, there were 157,927 landslides in the whole country. In recent years, China's annual economic losses caused by landslide disasters are more than 1 billion US dollars. In 2009, there were only 16 super-large and large-scale landslide disasters across the country, with direct economic losses reaching 190 million yuan; in 2011, there were 7 major landslide disasters with more than 10 people dead, missing, or direct economic losses of more than 100 million yuan, with direct economic losses of more than 100 million yuan. Loss of 599 million yuan. Landslide disasters not only cause huge economic losses, but also seriousl...

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
IPC IPC(8): G06Q10/04G06Q50/26G06N3/08G06N7/00G06F17/30G08C19/00H04L29/08
CPCH04L67/12G06F16/252G06F16/284G06N3/084G06Q10/04G06Q50/265G08C19/00G06N7/01
Inventor 许建聪杜续
Owner TONGJI 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