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

Slope monitoring and early warning system and method based on deformation data

A technology for monitoring and early warning and slope, which is applied in the field of slope monitoring system based on deformation data, can solve the problems that the stability coefficient cannot be used as an early warning value, the range of instability, and insufficient landslide prediction criteria, etc.

Inactive Publication Date: 2013-12-04
CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
View PDF5 Cites 52 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] (1) The stability coefficient cannot be used as an early warning value
The concept of the stability coefficient method is clear and the indicators are clear. The disadvantage is that it can only be used for long-term forecasting, and it has not been used in slope early warning at present.
Plastic strain is often used in small deformation landslides, medium and long-term forecast, can not be measured
[0012] (2) Acceleration indicators cannot warn of slopes moving at a constant speed
Under normal circumstances, if the mountain maintains a state of uniform acceleration all the time, it will not form a high-speed movement for a certain period of time, which cannot be judged from the acceleration index, but will eventually evolve into a landslide
Some high-speed landslides and landslides at home and abroad, without exception, are in a state of jerk motion (movement with gradually increasing acceleration) on the eve of high-speed destruction, and the time is extremely short, so it is difficult to monitor
According to the criterion that the acceleration is greater than 0, there may be erroneous results in the prediction of imminent slipping of landslides
[0013] (3) The deformation rate criterion has no definite critical value
Based on the statistical results of some existing landslides, it is generally believed that the critical deformation rate before the occurrence of landslides ranges from 0.1 to 1000 mm / d, with great differences, and there is no definite critical value
In actual analysis, the displacement-time curve of the monitoring point often has sudden changes, negative values ​​or breakpoints, and the deformation speed cannot be accurately determined
[0014] (4) The displacement-time curve will have local oscillations
If only the timing characteristics of the displacement are considered, misjudgments and false positives will occur when the displacement increases sharply (that is, the steep period)
[0015] (5) Single-point monitoring results cannot provide early warning for the overall stability of the entire slope
[0016] (6) It is difficult to monitor the maximum value of deformation when sliding
If it is mistakenly regarded as a landslide precursor and forecasted, it will often affect the normal progress of the project
[0017] (7) Different deformation mechanisms of slope rock mass lead to insufficient landslide prediction criteria
Only based on the displacement curve or acceleration curve of a single observation point, it may be possible to accurately warn of the imminent slippage of the landslide, but it is impossible to determine the range of instability

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
  • Slope monitoring and early warning system and method based on deformation data
  • Slope monitoring and early warning system and method based on deformation data
  • Slope monitoring and early warning system and method based on deformation data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The present invention will be further described below in conjunction with drawings and embodiments.

[0082] The slope monitoring and early warning system based on deformation data includes multiple surface displacement devices 1 and a communication base station 2. The surface displacement device 1 sends the collected data information to the communication base station 2, and the communication base station 2 interacts with the remote monitoring center data. , each surface displacement device 1 includes a displacement sensor 3, an angle offset sensor 3 and an acquisition transmission module, the acquisition transmission module receives the data collected by the displacement sensor 4 and the angle offset sensor 3, and sends the data to the base station .

[0083] The surface displacement device 1 also includes an equipment box 5, a base 6 and an equipment fixing rod 7 buried in the slope, the base 6 is installed on the top of the equipment fixing rod 7, and the equipment b...

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

A slope monitoring and early warning system based on deformation data comprises a plurality of surface displacement devices and a communication base station. The surface displacement devices send collected data information to the communication base station, and data interaction is carried out between the communication base station and a far-end monitoring center. According to a slope monitoring and early warning method based on the deformation data, a slope stability computational formula is deduced according to measured point displacement values and angle deviation values through analysis on a slope deformation instability mechanism based on theories of rock and soil mechanics. Dangerousness states on a slope are judged according to slope stability coefficient indexes, and therefore dangerousness classification on the slope can have fixed indexes and standards. The slope monitoring and early warning method based on the deformation data is different from the existing displacement-time method that different slopes have different early warning displacement values.

Description

technical field [0001] The invention relates to the technical field of slope monitoring, in particular to a deformation data-based slope monitoring system and method. Background technique [0002] At present, domestic and foreign scholars have proposed more than 10 kinds of prediction criteria for judging that the slope is in a critical instability state. Such as: stability coefficient, reliability probability, deformation rate and displacement acceleration, among which the main ones are as follows. [0003] (1) Stability factor method: The safety factor calculated by the limit equilibrium method is generally considered to be more appropriate to determine the safety factor criterion as 1. If the safety factor is less than 1, the slope will be in an unstable state; if the safety factor is greater than 1, the slope will be in a stable state; when the safety factor is equal to 1, the slope will be in a critical equilibrium state. [0004] (2) Plastic strain method: If the tan...

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): G01B21/32G08B21/00
Inventor 刘涌江黄河杨涛杨兵张小松冯君
Owner CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
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