KR101022757B1 - Monitering method for collapsing embankment - Google Patents

Abstract

The present invention relates to a bank collapse collapse detection method for detecting bank collapse collapse, using a plurality of poles provided with a sensor.

The dike collapse detection method according to the present invention is a method for detecting the collapse of the dike using a plurality of poles having a plurality of sensors in the longitudinal direction so as to correspond to each strata of the dike, the pole to the dike Inserting step of inserting installation at regular intervals; A measuring step of measuring displacement of the embankment using the plurality of sensors; And a determination step of grouping the displacement values measured in the measuring step for each strata of the dike and determining whether the dike is unstable using the grouped displacement values.

Rivers, dikes, collapses, displacements, detection

Description

Monitering method for collapsing embankment}

The present invention relates to a bank collapse collapse detection method for detecting bank collapse collapse, using a plurality of poles provided with a sensor.

In Korea, from 2002 to 2004, large and small typhoons such as typhoons 'Rusa' and 'Cicada' were inundated and frequent rainfall caused large floods in all watersheds due to bank collapse, loss and flooding. .

Unlike the existing heavy rains at the time of designing the embankment, it is unpredictable due to local and intensive (guerrilla) rainfall in certain regions, and the flood duration of the river is 3 days ('02 due to excess rainfall of astronomical probability After 72 hours (design concept year), it is estimated that the embankment saturates, causing sliding, etc., and piping, the embankment, and leakage of structure parts.

In 2002, the number of flood damages related to drainage gates was 12% (54 out of 453 cases), and the magnitude of flood damage caused by river facilities (structures) is gradually increasing. Indicates.

Therefore, there is an urgent need to present future-oriented advanced safety management techniques that can take into account the diversified contents of water resources, soil and structural aspects for effective levee safety management.

On the other hand, in general, in the case of civil structure measurement management, the management standard value for each structure has been calculated for effective task performance.

However, in the field of civil measurement, it is confirmed that the control standard to compare with the measurement data is not clear yet.

Currently used management standards are cited from Japan and the United States, which also has the disadvantage of using empirical values collectively for similar structures.

Therefore, it is necessary to calculate the management standard of new concept rather than the existing concept of passive absolute control standard.

The present invention has been made in accordance with the above necessity, an object of the present invention is to provide an embankment collapse detection method that can detect the instability of the embankment by measuring the displacement of each part of the embankment caused by flooding.

The dike decay detection method according to the present invention for achieving the above object, as a method for detecting the decay of the dike using a plurality of poles having a plurality of sensors in the longitudinal direction to correspond to each layer of the dike. An insertion step of inserting and installing the poles at predetermined intervals in the embankment; A measuring step of measuring displacement of the embankment using the plurality of sensors; And a determination step of grouping the displacement values measured in the measuring step for each strata of the dike and determining whether the dike is unstable using the grouped displacement values.

delete

According to the present invention, by inserting a plurality of poles with a sensor on the top of the dike at a predetermined interval to measure the displacement of each part of the dike according to the displacement of the pole and through this to detect the instability of the dike to facilitate the collapse of the dike Can be detected.

Therefore, it provides an effect that can more easily protect lives and property from the bank collapse accident that can cause a large-scale damage.

Further, according to the present invention, more realistic and accurate detection is possible by determining the instability of the levee by grouping the displacement values measured for each strata.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the present specification and claims should not be construed as being limited to the common or dictionary meanings, and the inventors should properly explain the concept of terms in order to best explain their own invention. Based on the principle that can be defined, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

Hereinafter, with reference to FIGS. 1 and 2 to describe the embankment collapse detection method according to an embodiment of the present invention. 1 is a flow chart of the embankment collapse detection method according to an embodiment of the present invention, Figure 2 is a schematic diagram of the embankment collapse detection system according to a preferred embodiment of the present invention.

First, according to the present invention, as shown in FIG. 2, a plurality of poles 10 having a plurality of sensors A are inserted into the embankment 1 at predetermined intervals (S100).

Thus, the pawl 10 inserted into the bank is long enough to be exposed to the outside of the bank, it is preferable to be formed of a straight metal having oxidation resistance and corrosion resistance suitable for the characteristics inserted into the bank. Do.

However, the material of the pole 10 used in the present invention is not necessarily limited thereto, and may be formed of a non-metallic material such as ABS resin or FRP.

The pole 10 used in the present invention measures the displacement of each strata caused by erosion or destruction before the bank collapses at the position of the first insertion using the sensor (A).

The pole 10 installed as described above is always present in the same position as it is inserted at regular intervals in all sections of the embankment consisting of elements such as gravel, soil or concrete, as shown in FIG. Since is composed of different materials according to the strata, since the displacement amount and displacement speed for each strata of the dike (1) can be different, the present invention for this purpose in the position corresponding to each strata of the dike in the longitudinal direction of the pole (10) A number of sensors A ₁ to A ₄ are provided to measure the displacement in each strata.

At this time, the sensor 10 is preferably used as a position sensor to know the amount of displacement of the strata while flowing together as the strata are displaced.

In addition, the displacement amount of the levee layer thus measured is transmitted to the determination server 20 so that it can be used to determine whether the levee is unstable.

Here, the means for transmitting the information to the determination server 20 by the sensor A is preferably a wireless communication means with less distance constraint, but the present invention is not necessarily limited thereto, and the reliability of the data or other designer It is also possible to use a wired communication means according to the intention of the.

Next, in the present invention, it is determined whether the embankment 1 is unstable according to the displacement of each layer of the embankment 1 measured in the step 'S110' (S120).

To this end, the determination server 20 receives the information on the displacement of each strata measured by the sensor A of the pole 10, and determines whether the embankment 1 is unstable by referring to the received information. The principle is as follows.

Prior to this, in the present invention, in order to determine the instability of the levee reflecting the displacement amount and the displacement speed for each strata, the displacement value measured in the step 'S110' is grouped for each strata of the levee (1).

In more detail with reference to FIG. 3, all sensors installed at the same height as the height where the first sensor A1 is located are grouped into one, and similarly, sensors installed at the same height as the first sensor A2 are also grouped into another group.

Through this configuration, the present invention can more clearly know the movements of each layer, and even if some layers are raised, the movements of the layers can be accurately known since they are grouped based on the initial installation time.

관리도와

관리도를 이용한다.In the present invention, by using the displacement information grouped in this way to determine the instability of each strata of the embankment, for this purpose, the concept of a control chart (control chart) to determine whether the instability, large

Control chart

Use control charts.

관리도를 이용하는 방식을 살펴보도록 한다.This control chart is for calculating basic indicators for judgment.

Let's look at how to use control charts.

와 표준편차

로 정규분포하고 있는 것으로 가정하고, 표본

,

,....,

이 정규분포하는 변위값으로부터 추출한 표본크기

의 개별계측치라 하면, 이 표본의 평균은 아래의 [수학식 1]과 같이 나타낼 수 있다.Average displacement values measured in 'S110' stage

And standard deviation

Assume that we are normally distributed with

,

, ....,

Sample size extracted from this normally distributed displacement value

In terms of individual measurements of, the mean of this sample can be expressed as Equation 1 below.

Here, the sample measurement value means one of the displacement values measured from the grouped sensors.

는 표본의 평균,

는 i번째의 표본,

은 표본의 수이다.here,

Is the mean of the sample,

Is the i th sample,

Is the number of samples.

는 평균

와 표준편차

로 정규분포함을 알 수 있으므로 정규분포의 한계를 확률로 나타내면 다음과 같다.From central theorem

Is average

And standard deviation

Since normal distribution can be known as, the limit of normal distribution is expressed as probability as follows.

는 표본의 평균,

는 표본의 표준편차,

는 제 1종 오류의 확률,

는 정규분포에서 제 1종 오류를 제외한 상·하한계이다.here,

Is the mean of the sample,

Is the standard deviation of the sample,

Is the probability of type 1 error,

Is the upper and lower limits of the normal distribution excluding Type I errors.

이다.The probability that any sample mean is within the following limits is 1-

to be.

은 표본의 평균,

은 표본의 표준오차,

는 제1종 오류의 확률,

는 정규분포에서 제 1종 오류를 제외한 상·하한계,

는 표준편차,

은 표본(센서)의 수이다.Where LCL is the lower control limit, UCL is the upper control limit,

Is the mean of the sample,

Is the standard error of the sample,

Is the probability of type 1 error,

In the normal distribution, the upper and lower limits except the type 1 error,

Is the standard deviation,

Is the number of samples (sensors).

와 표준편차

를 알고 있다면 위의 [수학식3]은 표본평균의 관리도에 있어서 관리도 상한계과 관리도 하한계로 사용할 수 있다.Therefore, if the mean of displacement

And standard deviation

If Equation 3 is known, Equation 3 above can be used as the upper control limit and the lower control limit in the control chart of the sample mean.

한계를 사용한다면

대신에 3을 사용할 수 있다. 만일 표본평균

가 UCL의 위로, 그리고 LCL의 아래로 벗어나게 되면 표본평균은 관리 불능상태라고 한다. 다시 말해 변위값의 표준이

와 같지 않게 된다.3

If you use limits

You can use 3 instead. If the sample mean

Is above the UCL and below the LCL, the sample mean is said to be unmanageable. In other words, the standard of displacement

Will not be the same as

를 각 표본의 평균이라고 하면 변위 값의 평균

의 가장 좋은 예측치

는 다음의 식을 통해 산출할 수 있다.

Is the mean of each sample, the mean of the displacement values

Best estimate of

Can be calculated by the following equation.

는 표본의 재평균(예측치),

는 i번째의 표본평균, k는 표본의 수이다.here,

Is the reaverage (prediction) of the sample,

Is the i-th sample mean, and k is the number of samples.

의 예측치

는

의 관리도 중심선(CL)로 이용된다.Average of displacement

Estimate

Is

The control of is also used as the center line (CL).

의 예측치가 필요한데, 이를 위 해서는 표본군의 범위를 이용하는 것이 일반적이다.Standard deviation for setting control limits

An estimate of is needed, which is usually done using a range of sample groups.

으로 구성되는 표본크기

의 표본군에 대해 표본범위

은 개별계측치의 최대값과 개별계측치의 최대값의 차로 산출된다.Individual measurement

Sample size consisting of

Sample range for

Is calculated as the difference between the maximum value of the individual measured value and the maximum value of the individual measured value.

사이에는 중요한 관계가 성립하는데, 확률변수

로 표현할 수 있다. 이는 상대적 범위(relative range)라고 부르며, 정규분포를 하는 모집단으로부터 표본을 추출할 때

의 분포는 표본크기

에 의존한다.Sampling range and standard deviation of this distribution from normalized measurement data

An important relationship exists between the random variables

. This is called relative range, and when you sample from a population that is normally distributed

Distribution of sample size

Depends on

의 평균(기대값은)

인데, 이 값은 도 4에 도시된 관리한계 계수표와 같이 표본크기

에 따라 결정된다.

Of (the expected value is)

This value is the sample size as shown in the control limit coefficient table shown in FIG.

It depends on.

의 예측치에 대해 정리하면,

즉

이므로,

는 다음과 같이 정리된다.At this time,

If we sum up about estimate of,

In other words

Because of,

Is summarized as follows.

는 확률변수의 예측치,

은 표본범위의 예측치,

는 확률변수의 평균값(기대값)이다.here,

Is the predicted value of the random variable,

Is an estimate of the sample range,

Is the mean value (expected value) of the random variable.

이므로, 표준편차

의 예측치

는

이 된다.By the way,

Standard deviation

Estimate

Is

Becomes

의 예측치로

를, 표준편차

의 예측치로

를 이용하고,

를 3으로 놓으면

관리도 파라미터들은 다음의 수학식과 같이 정리된다.Average

With an estimate of

, Standard deviation

With an estimate of

Using

If you set it to 3

Control chart parameters are arranged as in the following equation.

은 표본 크기

의 함수이므로 [수학식 6]은 다음과 같이 정리될 수 있다.Management limit factor

Silver sample size

Equation 6 can be summarized as follows.

에 따른 상수

의 값은 도 4에서와 같이 정리될 수 있다.Sample size

Constant

The value of can be summarized as in FIG.

은 표준편차와 관련이 있으므로 분산은 관리도에

값을 차례로 타점함으로써 관리할 수 있다. 이관리도가

관리도인데

관리도의 중심선과 관리한계는 다음과 같다.Sample range

Is related to the standard deviation, so the variance

It can be managed by hitting values one after another. This chart

Control chart

The center line and management limits of the control chart are as follows.

은 표본범위의 평균,

은 표본범위의 표준편차이다.here,

Is the mean of the sample range,

Is the standard deviation of the sample range.

의 분포에서 표준편차

의 예측치

을 필요로 한다. 데이터 특성이 정규분포를 한다고 가정하면

은 상대적으로 범위

의 분포로부터 구할 수 있다.

의 표준편차를

라 하면 분산(

)=분산(

)=

분산(

)이 되며,

이므로 , 결과적으로

이 성립한다.Sample range to determine control limits

Standard deviation in the distribution of

Estimate

need. Suppose your data properties are normally distributed

Is relatively in range

It can be obtained from the distribution of.

The standard deviation of

Say variance (

) = Variance (

) =

Dispersion(

),

As a result,

This holds true.

는 알 수 없는 값이므로 그 추정치인

를 이용하여야 하는데, 이를 다시 정리하면

이 된다.

Is an unknown value, so its estimate is

You should use

Becomes

의 추정치인

은 아래의 식을 이용하여 산출할 수 있다.At this time,

Is an estimate of

Can be calculated using the following equation.

는 표본범위 표준편차의 추정치, 는 표본범위의 평균,

는 확률변수(

)의 평균값,

은 확률변수(

) 표준편차의 기대치이다.here,

Is an estimate of the standard deviation of the sample range, Is the mean of the sample range,

Is a random variable (

) Mean value,

Is a random variable (

) Is the expectation of the standard deviation.

관리한계를 사용하는

관리도의 파라미터는 다음의 식과 같다.

Using control limits

The parameters of the control chart are as follows.

와

는 다음의 [수학식 11]과 같은데, 이를 이용하여 [수학식 10]을 정리하면 다음의 [수학식 12]과 같다.Also, the management limit coefficient

Wow

Is the same as [Equation 11], when using the equation [10] to summarize the following [Equation 12].

는 확률변수(

)의 평균값,

은 확률변수(

) 표준편차의 기대치이며,

와

는 관리한계 계수이다.here,

Is a random variable (

) Mean value,

Is a random variable (

) Is the expectation of the standard deviation,

Wow

Is the control limit coefficient.

의 값은 도 4에 주어져 있다.At this time, Wow

Is given in FIG. 4.

관리도를 이용하는 방식에 대해 살펴보도록 한다.In the following,

Let's look at how to use control charts.

는 다음의 식을 통해 산출할 수 있다.If a large sample size is used, it is preferable to use the sample standard deviation to measure the variance.

Can be calculated by the following equation.

는 표준표본편차,

는 표본의 평균,

는 i번째 표본,

은 표본의 수이다.here,

Is the standard sample deviation,

Is the mean of the sample,

Is the i sample,

Is the number of samples.

로 정규 분포한다면, 표본 표준편차의 평균과 표준편차는 다음과 같다.If the data population, i.e. the distribution of measured groups of displacements,

If the distribution is normal, the mean and standard deviation of the sample standard deviation are

는 표본 표준편차의 평균,

는 공정분포의 표준편차,

는 표본 표준편차의 표준편차,

는 표본크기에 따라 결정되는 계수이다.here,

Is the mean of the sample standard deviations,

Is the standard deviation of the process distribution,

Is the standard deviation of the sample standard deviation,

Is a coefficient determined by the sample size.

는 다음과 같이 정의되어 있다.Also,

Is defined as

은 표본의 크기이며,

는 표본크기

의 크기에 따라 결정되는 계수로서 도 4를 이용하여 구할 수 있다.here,

Is the size of the sample,

Is the sample size

It can be obtained using FIG. 4 as a coefficient determined according to the size of.

(end) The standard value  If given

로 주어지면

관리도의 중심선(CL)은 [수학식 14]를 이용하여 다음과 같이 구할 수 있다.If the standard value of the standard deviation

Given by

The center line CL of the control chart can be obtained as follows using Equation 14.

In addition, the upper and lower limits of the control chart can be obtained as follows.

Furthermore, if [Equation 16] is substituted into [Equation 17], it can be expressed as follows.

On the other hand, [Equation 18] can be arranged as shown in [Equation 20] using the following [Equation 19].

는 표본 크기에 따라 결정되는 계수로서 도 4를 통해 그 값을 알 수 있다.here,

Is a coefficient determined according to the sample size, and its value can be seen through FIG. 4.

(I) The standard value  If not given

에 대해 표준치가 주어지지 않으면 과거의 자료를 분석하여 예측하여야 하는데, 표본크기

의 표본군이

개일 때,

를 i번째 표본의 표준편차라 하면

관리도의 중심선 및 관리한계는 다음과 같다.Standard Deviation

If no standard value is given for, the historical data should be analyzed and predicted.

The sample group of

When you are a dog,

Is the standard deviation of the i sample.

The center line and management limits of the control chart are as follows.

는 표준편차의 평균,

는 표본 표준편차의 표준편차,

는 표본크기에 따라 결정되는 계수이다.here,

Is the mean of the standard deviations,

Is the standard deviation of the sample standard deviation,

Is a coefficient determined by the sample size.

의 추정치

은 다음의 식과 같다.Population standard deviation according to Equation 14

Estimate of

Is as follows.

는 모집단 표준편차의 추정치,

는 표준편차의 평균,

는 표본크기에 따라 결정되는 계수이다.

Is an estimate of the population standard deviation,

Is the mean of the standard deviations,

Is a coefficient determined by the sample size.

관리도의 관리한계는 다음과 같이 정리된다.Summarizing [Equation 21] and [Equation 22] above

The management limits of the control chart are summarized as follows.

계수를 이용하여 위의 식을 좀 더 간단히 할 수 있는데,

계수의 식은 아래의 [수학식 24]와 같으며, 이를 통해 정리된 식은 아래의 [수학식 25]와 같다.

Using the coefficients, we can simplify the above equation.

The formula of the coefficient is as shown in [Equation 24] below, and the formula through this is as shown in [Equation 25] below.

와 의

는 표본크기에 따라 결정되는 계수로서, 그 값은 도 4의 표에 도시되어 있다.here,

And of

Is a coefficient determined according to the sample size, the value of which is shown in the table of FIG. 4.

의 중심선과 관리한계는 다음의 식과 같다.Meanwhile,

The center line and the management limit of are as follows.

는 표본평균의 재평균,

는 표본 표준편차,

는 모집단의 표준편차,

는 표본의 수이다.here,

Is the reaverage of the sample mean,

Is the sample standard deviation,

Is the standard deviation of the population,

Is the number of samples.

대신 [수학식 22]의

를 사용하면 다음과 같이 정리할 수 있다.Of Equation 26

Instead of Equation 22

Can be summarized as follows:

는

로 표현될 수 있으며, 그 값는 도 4에 도시되어 있다.here,

Is

It can be expressed as, the value is shown in FIG.

Indicators calculated in the same manner as described above are used to determine the instability of the embankment 1, hereinafter, the principle of determining the instability of the embankment in the present invention with reference to Figures 5a to 5e.

In the present invention, the instability of the embankment is determined by comparing the center CL of the control chart, the upper and lower control charts (UCL, LCL), and the displacement values of the sensors grouped above. The embankment 1 is determined to be unstable if at least one of the displacement values grouped as shown has a displacement value above the control chart limit (UCL) or below the control chart limit (LCL).

That is, it is determined whether or not the instability by each strata by grouping the displacement values of the various strata forming the dike (1). If the instability is determined only in one of them, it is determined that the whole dike is unstable.

Each point shown in FIG. 5A means a displacement value measured from the grouped sensors, and in the present invention, any position when such displacement values are compared with previously calculated indicators (center of control chart or upper and lower control charts). Determine the instability of the embankment based on its presence in the bank.

If one point appears to be above the control or upper limit or the lower limit, this is a very dangerous condition because the displacement measured from one of the grouped displacements has a much larger displacement than the other displacements. In the present invention, such a case is determined to be an unstable bank.

이격된 위치로 설정되는 것이 바람직하다.At this time, the control chart upper limit and lower limit are 3 from the center value CL.

It is preferably set to a spaced position.

Here, this determination is made by the determination server 20 as mentioned above.

In addition, in the present invention, at least two or more of the displacement values measured by the three sensors present at consecutive positions among the displacement values grouped as shown in FIG. 5B exceed the upper warning limit value or the lower warning limit value. If the displacement value is less than, the bank is determined to be unstable.

이격된 위치로 설정되며, 도 5a에서와 같이 하나의 폴이 큰 변위를 갖는 것은 아니나, 어느 정도 인접한 센서로부터 일정 수준이상 변위값이 측정될 경우 제방의 해당 부위가 취약한 것으로 판단될 수 있으므로 본 발명에서는 이와 같은 경우에도 제방이 불안정한 것으로 판정한다.Here, the upper warning limit value and the lower warning limit value are smaller than the control chart upper limit and the lower limit, 2 from the center value.

The pole is set at a spaced position, and as shown in FIG. 5A, one pole does not have a large displacement, but when the displacement value is measured by a predetermined level or more from an adjacent sensor to some extent, the corresponding part of the embankment may be determined to be vulnerable. Even in this case, the bank determines that the bank is unstable.

Next, a displacement value of at least four or more exceeding the upper limit or less than the lower limit is measured from the displacements measured by the five sensors present at consecutive positions among the displacement values grouped as shown in FIG. 5C. If so, the bank is determined to be unstable.

이격된 위치로 설정되며, 경고 한계수준에는 못 미치나 더욱 많은 폴이 변위되었을 경우를 불안정 상태로 판정한다.The upper and lower limit limits are from the center value.

It is set to a spaced position and is determined to be unstable if more poles are displaced but below the warning threshold.

In addition, the present invention provides a bank embankment when displacement values measured at eight sensors existing at consecutive positions among the displacement values grouped as shown in FIG. 5D exist at a position deviated to one side from the control center value CL. It may be determined as unstable.

Finally, the present invention determines that the embankment is unstable when the displacement values measured by eight sensors of the grouped displacement values are 'run', as shown in FIG. 5E.

The term "run" refers to an array of continuous points, in which not only the points are continuously arranged on one side of the center line but also the continuous points are arranged up and down.

Referring to 5e as an example, Table Nos. 8 to 12 run under the center point, and Sample Nos. 13 to 20 run downward through the zoom center point.

On the other hand, if it is determined that the embankment is unstable through the method described above, the determination server 20 outputs a warning signal, the warning signal is transmitted to a user terminal 30 connected through a network to remotely located users It is output in a form that the user can recognize so that the instability of the dike can be recognized.

In other words, the warning signal is output in a manner that can be easily recognized by the user as the designer intends among various means such as text, image, voice signal, or siren.

Through such a configuration, the present invention enables the user far from the dike to recognize the state of the dike, thereby ensuring the safety of the user because there is no need to visually check the dike in danger.

As mentioned above, although this invention was demonstrated by the limited embodiment and drawing, this invention is not limited by this, The person of ordinary skill in the art to which this invention belongs, Of course, various modifications and variations are possible within the scope of equivalent claims.

1 is a flow chart of the embankment collapse detection method according to an embodiment of the present invention,

2 is a schematic view of the embankment collapse detection system according to an embodiment of the present invention,

3 is a conceptual diagram illustrating an example of a collapsed embankment;

4 is a management limit coefficient table used to calculate an indicator for determining an embankment instability state in the present invention;

5A to 5E are conceptual views illustrating a case of a determination example determined as an unstable state according to an exemplary embodiment of the present invention.

Claims (10)

delete delete delete delete As a method for detecting the collapse of the dike using a plurality of poles having a plurality of sensors in the longitudinal direction to correspond to each of the strata of the dike, An insertion step of inserting and installing the poles at predetermined intervals in the embankment; A measuring step of measuring displacement of the embankment using the plurality of sensors; And And a determination step of grouping the displacement values measured in the measuring step for each strata of the dike, and determining whether the dike is unstable using the grouped displacement values. The determining step, A control chart upper limit and a control chart lower limit are calculated using an average of the displacement values grouped by strata, and at least one of the displacement values grouped by strata exceeds the control chart upper limit or is below the control chart. If the displacement has a value less than the limit, the embankment is determined to be unstable, A higher warning limit and a lower warning limit are calculated using the average of the displacement values grouped by strata, and at least two or more in three consecutive poles of the displacement values grouped by strata exceed or exceed the upper warning limit. If the displacement has less than the warning limit, the bank is determined to be unstable, The upper and lower attention limits are calculated using the average of the displacement values grouped by strata, and at least four of five consecutive poles among the displacement values grouped by strata exceed the upper or lower limits. Embankment collapse detection method characterized in that it is determined that the embankment is unstable when it has a displacement value less than the caution limit. The method of claim 5, wherein the determining step, A control chart center value is calculated using the average of the displacement values grouped by strata, The embankment collapse detection method characterized in that it is determined that the embankment is unstable when eight consecutive poles among the displacement values grouped by the strata exist in a position biased to one side from the center of the control chart. The method of claim 5, wherein the determining step, A control chart center value is calculated using the average of the displacement values grouped by strata, The embankment collapse detection method characterized in that it is determined that the embankment is unstable when eight consecutive poles of the displacement values grouped by the strata form a run (run). delete delete delete

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