JP2009007914A - Method and device for predicting slope face collapse and landslide - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem wherein provided data requires an another method such as investigation boring for a planar, straight line-shaped and 3D analysis, though a great effort is continuously made for always monitoring and prediction for providing accurate data, due to requiring suitable specialty for determining the installation direction and its method or providing and analyzing the data, though an expansion gauge is installed as a method generally used for an investigation on a slope face collapse and a landslide. <P>SOLUTION: An AE sensor is arranged in a part near a root of a tree, and AE generated by stress received to the root and AE generated by cutting the root are observed, and are amplified by an amplifier, and are analyzed by an AE analyzer, and the timing and a scale of the slope face collapse are predicted. The roots of a plant are vertically and horizontally distributed underground, and underground data can be accurately provided without depending on an expansion/contration device and the investigation boring by knowing a position of its AE generation. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

The present invention is a completely new technical field that attempts to predict slope collapse, landslide, change in flat land, and the like by observing and analyzing AEs generated by plants inhabiting slopes, slopes, and plains.

Currently, for the prediction of slope failure, landslide, etc., an extensometer is generally installed, but there are parts that cannot respond to subtle changes due to the installation method of the equipment, and the ability of the strain gauge as a sensor There is a limit.
It also requires very specialized knowledge.
A method for easily and continuously knowing this change at low cost is desired.

Extensometers are commonly used for investigations and prediction methods related to slope failures and landslides. However, there is considerable expertise in determining the direction and method of installation, and in acquiring and analyzing data. Sex is required. In addition, great efforts are being made in continuous monitoring and prediction to obtain accurate data.
Further, the obtained data is planar and linear, and another method such as survey boring is required for three-dimensional analysis.

The present invention observes and analyzes AE generated in response to stress received by the plant from the ground, and observes and analyzes the sound of cutting the roots caused by direct ground activity, so that the possibility of slope collapse, landslide, etc. It predicts the time, scale, etc.
Since plants grow naturally, a new installation at the site is a system composed of an AE sensor, an amplifier, an AE analysis device, and a data transmission device.

One of the features of the present invention is that a plant is used. The roots of the plant are underground and spread vertically and horizontally. By observing AEs caused by the stress received by the roots due to minute changes that are precursors such as slope failures and landslides, slope failures and landslides are observed. You can know the possibility of the collapse of the flat ground. Further, the AE generated by cutting a part of the root changes in the frequency and the total energy amount depending on the root part to be cut. Predictive analysis of the timing and scale of slope failures, landslides, flatland collapses, etc. is performed by knowing the location where this root can be cut and the total amount of energy. By knowing the location where the roots were cut, the scale of slope failure, landslide, flatland collapse, etc. is analyzed, and by knowing the total amount of energy, the time to collapse is predicted.
This eliminates the need to investigate the location where the extensometer is installed, saving time and money.

The above-mentioned predictive analysis of slope failure, landslide, flatland collapse, etc. by analyzing AE is done by knowing the location where the root is cut, so there is no need for survey boring, It is possible to know the scale more accurately than it depends on, and to estimate the amount of collapsed soil more accurately.

Plants feel the change of the earth as a whole, catch the change as stress, and emit outside as AE.
One of the features of the present invention is to capture and analyze AE emitted by plants. The daily changes felt by plants can be regarded as AE, and from the accumulated data, the change of the ground can be predicted based on the characteristics of the occurrence of AE. This provides a scientific basis for the prediction of changes in the earth using organisms, which have been said to be unfounded legends, and enables continuous monitoring.

The main part of the observation equipment according to the present invention is represented by an AE sensor, an amplifier, an AE analysis device, and a data transmission device. For this reason, the cost effectiveness per site is advantageous.

Since plant roots are distributed vertically and horizontally, it is possible to acquire planar and three-dimensional data instead of linear and superficial data acquisition like an extensometer.

In addition, since changes in plant ecology are represented by changes in the field, it is possible to know the subtle changes until just before the disaster that has become a disaster for a long time, making it easier to take measures against disasters. This makes it possible to minimize damage from disasters.

1 is an overall schematic diagram according to the present invention. It is the schematic of the detection apparatus of the landslide etc. which concern on this invention.

Claims (2)

By attaching an AE (Acoustic Emission) sensor for plants inhabiting slopes, slopes and flatlands, and capturing AEs caused by stress on the roots and root breakage, and analyzing the captured AEs A method for predicting the collapse of slopes, etc., which predicts the possibility, timing and scale of slopes, slopes and flats. Attaching an AE sensor to plants that inhabit slopes, slopes and plains, capturing AEs caused by stress on the roots and root breakage, and analyzing the captured AEs, slopes, slopes A slope failure prediction device characterized by predicting the possibility, timing, and scale of flat land collapse.

Images