KR101056057B1 - How to measure the condition of coastal shoreline facilities - Google Patents

Abstract

By accurately measuring the condition of facilities installed on the slopes of the coastal shores (large signs of damage or signs of collapse) in real time, if there is concern of large-scale damage or collapse of the facilities installed on the shores, the countermeasures should be taken in advance. Disclosed is a method for measuring the condition of coastal shoreline facilities to prevent damage caused by massive damage or collapse of the shoreline facility.

The disclosed method for measuring the condition of coastal shoreline facilities includes a measuring step of measuring a displacement of the target using a displacement sensor installed in a vertical direction on the surface or ground of the coastal shoreline facility; A proximity analysis step of grouping displacement information of the target measured in the measuring step and analyzing proximity based on the displacement information of the grouped targets; A relative displacement difference analysis step of analyzing a relative displacement difference based on the displacement information of the target; And a similarity analysis step of determining the behavior of the coastal slope by performing a similarity analysis based on the result information of analyzing the difference between the proximity and the relative displacement.

Coast, shore, slope, proximity, relative displacement, similarity

Description

Method for state measuring of seashore revetment facilities

The present invention accurately measures the condition of facilities installed on the slopes of coastal shores (large signs of damage or signs of collapse) in real time, and plans to establish countermeasures in advance when there is concern of large-scale damage or collapse of facilities installed on shoreline shores. The present invention relates to a method for measuring the condition of coastal shoreline facilities to prevent damage caused by massive damage or collapse of coastal shoreline facilities.

From 2002 to 2004, Korea suffered a lot of damages due to the collapse and loss of the shore banks (banks) and floods due to the invasion and tsunami of big and small typhoons such as typhoons 'Rusa' and 'Cicada'.

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 (hydraulic, hydrological), soil, and structural aspects for effective coastal shore safety management.

On the other hand, although various real-world measurement data are given to civil engineers who are at risk of coastal slope collapse, it is not easy to analyze the real-time coastal slope behavior after analysis, processing, and draw conclusions about slope stability. .

At present, various methods have been proposed at home and abroad to detect leaks in coastal shores or to assess the health of body structure.

In Korea, physical exploration methods such as natural potential exploration, electrical resistivity exploration, and low temperature exploration have been applied in various ways. In this method, since the depth of detection becomes low when the electrode interval is set very small in order to increase the resolution, the electrode interval should be maintained above the proper interval in arcs above a certain scale.

Overseas, there is a study using the nonlinear dynamic model (NDS), which is similar to the mathematical analysis technique, and suggests a method for analyzing the collapse time of structures including earthquakes.

However, all of these existing civil structures measurement and management methods are based on the calculation of the control standard for each structure for effective task performance and the comparative analysis between the measurement results and the values calculated during the design.

In the civil engineering field, it was confirmed that the management standard value to be compared with the measurement data is not clear. The current management standard value refers to the data of Japan and the US as it is. This value is also an empirical value, not a calculated value in the design of the structure. There is a drawback to using a batch of similar structures.

In particular, since there are too many variables for the repair facility to apply the simple comparative type of control standard method used in other structures, there is an urgent need for a method of calculating the control standard value suitable for the characteristics of the repair facility.

The present invention has been proposed by the above needs,

SUMMARY OF THE INVENTION An object of the present invention is to provide a method for measuring the condition of a coastal shoreline facility, which enables accurate measurement in real time of a state (signal of large scale damage or collapse) of a facility installed in a coastal lake.

Another problem to be solved by the present invention is to measure in advance the signs of large-scale damage or collapse of the facilities installed on the coastal lakes, so as to establish countermeasures, thereby preventing damages caused by the large-scale damages or collapses of the coastal lakes in advance. To provide a method for measuring the condition of coastal shoreline facilities.

"Method for measuring the condition of coastal shoreline facilities" according to the present invention for solving the above problems,

A measurement step of measuring a displacement of the target by using a displacement sensor installed in a vertical direction on the ground surface or the ground of the coastal shoreline facility;

A proximity analysis step of grouping displacement information of the target measured in the measuring step and analyzing proximity based on the displacement information of the grouped targets;

A relative displacement difference analysis step of analyzing a relative displacement difference based on the displacement information of the target; And

And a similarity analysis step of determining the behavior of the coastal slope by performing a similarity analysis based on the result of analyzing the difference between the proximity and the relative displacement.

Here, the grouping of the displacement information of the target is characterized in that the displacement information of the horizontal target installed in the same section is grouped into one group.

According to the present invention, there is an advantage that it is possible to accurately measure the condition (large signs of damage or signs of collapse, slope behavior) of the facilities installed in the coastal lake in real time.

In addition, due to the above advantages, it is possible to predict large-scale damage or signs of collapse of the facilities installed on the coastal shores in advance, and to prepare countermeasures to prevent damage caused by large-scale damages or collapses of the coastal shores. There are advantages to it.

Hereinafter, described in detail with reference to the accompanying drawings a preferred embodiment of the present invention. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

1A is an example diagram in which a plurality of targets are installed on an inclined slope of a field (site) in the present invention, and FIG. 1B is an example diagram in which a plurality of targets are installed in an underground slope of a field (site), and FIG. Fig. 3 is a schematic configuration diagram of a state measuring system of a coastal revetment facility according to the present invention.

The difference between FIG. 1A and FIG. 1B is that the displacement detection sensor installed in the target is different. For example, as shown in FIG. 1A, the displacement detection sensor installed on the slope of the ground may use a length measuring sensor or a position measuring sensor using GPS that connects each target with a wire and measures a displacement length of the corresponding wire. In addition, it is preferable to use an angle sensor as the displacement sensor installed on the slope of the ground as shown in FIG. 1B. Since the length sensor, the angle sensor, or the position measuring sensor adopts a sensor already known in the field for displacement measurement, its detailed description is omitted.

The measurement of displacement information using targets installed on the slope of the ground and the measurement of displacement information using targets installed on the slope of the ground differ only in the installed sensor, and the slope behavior is measured using the measured displacement information. Since the method of analysis is the same, below, only the thing which installed the target in the surface of the surface for convenience of description is demonstrated.

As shown in Fig. 1A, a plurality of targets 101 to 104 applied to the present invention are installed using poles 111 to 114 on the surface slopes of coastal shoreline facilities installed in the field (field). Here, the target is preferably installed horizontally with respect to the same cross section.

In FIG. 1A, only four targets are shown on the slope for convenience, but in order to accurately predict the condition of coastal shoreline facilities, it is preferable to install as many targets as possible, but the larger the number of targets, the higher the accuracy can be achieved. Since the cost and information processing are excessively consumed, it is desirable to set an optimized number of targets by experiment or the like.

는 각 단면의 센서위치로서, n은 단면번호이고, m은 센서위치이다.here

Is a sensor position of each cross section, n is a cross section number, and m is a sensor position.

2 is a configuration diagram showing a state measurement system of the coastal coastal facilities using an angle sensor or GPS, the field system 100, the state measurement means 200 of the coastal coastal facilities, the communication network 300, the monitoring system 400 It consists of.

On-site system 100 is installed in the vertical direction to the ground surface of the coastal shoreline facility 120 of the site by poles 111 ~ 114 and a plurality of targets (101 ~ 104) including a displacement measuring sensor and installed in the site Convert the target displacement information obtained from the displacement measuring sensors included in the plurality of targets 101 to 104 into a data format corresponding to the connected communication network, and then to the state measuring means 200 of the coastal shoreline facility located remotely through the communication network. Displacement information transmitting means 130 for transmitting.

Displacement information transmission means 130 may include a signal processor for wired transmission to the terminal connected to the signal processing the displacement information obtained from each displacement measuring sensor, and to transmit the displacement information processed by the signal processor to the wireless communication network It may include a wireless transmitter for converting into a wireless data format for wireless transmission. In the case of using a wired terminal device, the administrator has the inconvenience of accessing the signal processor directly to the signal processor, and in the case of the wireless transmission method, the administrator can eliminate the inconvenience of directly exploring the location of the signal processor. have. However, since wired and wireless methods have various advantages and disadvantages, it is possible to select a suitable method or to use both methods in consideration of the installation location or other surrounding environment of coastal shoreline facilities.

The state measuring means 200 of the coastal shoreline facility may be installed in the field like the on-site system 100 installed in the field, or installed remotely and performing data communication through a separate communication network (for example, CDMA). Can also be used. Considering the convenience of management or other surrounding environment, it is desirable to install remotely.

The state measuring means 200 of the coastal shore security facilities 200 groups the displacement information of the plurality of targets transmitted from the displacement information transmitting means 130, and analyzes the displacement information of the grouped targets to measure the state of the coastal shore security facilities. To perform a function, specifically, displacement information receiving means for receiving displacement information of a plurality of targets transmitted from the displacement information transmitting means; A database server 220 for storing and managing displacement information received by the displacement information receiving unit 210 in a database 221; Displacement information of a plurality of targets stored in the database 221 is grouped, and the displacement information of the grouped targets is analyzed by a SAM algorithm to determine slope behavior, and the result of the determination is provided as state measurement information of coastal shoreline facilities. Information analyzing means 230; Measurement information transmitting means 240 for transmitting the state information of the coastal coastal facilities measured by the displacement information analysis means 230 to the terminal of the general user and the information reference through the communication network 300.

Here, the displacement information analyzing means 230 means a conventional information processing computer, and a detailed description thereof will be omitted.

Monitoring system 400 is a general user (non-professional) system 410 for receiving and using the displacement information analysis information through the communication network 300, and receives the displacement information analysis information through the communication network 300 to the coast Information referrer system 420, which is an analytical expert that notifies large-scale damage or collapse of a raft facility or establishes measures to prevent damage from large-scale damage or collapse.

The state measurement system of the coastal coastal facility according to the present invention configured as described above is to measure the displacement amount of the coastal coastal facility in the displacement measuring sensor included in the target (101 ~ 104) installed on the surface slope of the coastal coastal facility (S101), In the signal processor of the displacement information transmission means 130, the measured displacement information is signal-processed and made into a data file, and when the terminal is connected, the wired transmission is performed to the terminal. If the remote data is transmitted remotely, the wireless transmitter converts the data into a wireless data format corresponding to the communication network and wirelessly transmits the displacement information through the communication network. The measured displacement information includes sensor position information, section number information, and sensor position information of each cross section. In addition, the measured displacement information means displacement information of a target horizontally installed with respect to each same cross section. For example, suppose that four targets are installed at regular intervals on the surface slope of a coastal shoreline facility, and eight targets are installed horizontally on the same cross section. Displacement information is generated, and since eight displacement information are grouped in one group horizontally with respect to the same cross section, four data groups can be obtained in the above case (S103).

The grouping information thus obtained is used to set up a representative cross section to estimate the fracture line of the lake, i.e. whether it will collapse to a deep or shallow fracture surface. The potential breakdown lines that can occur in the cross section to be analyzed are proportional to the number of sensors, and the analysis is performed in each step, including the number of cases.

Here, if the number of sensors installed based on each cross-section is less than five, a method of grouping and analyzing the entire cross-section may be applied.

In the above-described field system 100 may be implemented in parallel with a wired transmission method and a wireless transmission method as necessary.

The state measuring means 200 of the coastal shore security facilities 200 receives the displacement information transmitted from the displacement information transmitting means 130 through the displacement information receiving means 210, the displacement information receiving means 210 transmits the displacement information Receive displacement information with a technical configuration corresponding to the means 130. For example, when the transmission means is a wired method (RS-485), the receiving means also has a wired configuration, and when the transmission means is a wireless system, the receiving means also has a wireless configuration.

When the displacement information receiving means 210 receives the displacement information of a plurality of targets installed in the vertical direction to the indicator of the coastal coastal facilities, the database server 220 stores it in the database 221, displacement information analysis means ( 230 applies the displacement information of the plurality of targets stored in the database 221 to a preset SAM algorithm to extract the state measurement value of the coastal shoreline facility.

To this end, first, a closeness is analyzed based on the displacement information of the target (S105). Here, the proximity means a difference in time series data between viewpoints, that is, a degree of correlation of time sequence data of each viewpoint. .

In order to measure the degree of correlation of the time series data of each observation point installed on the slope, each observation point compares the displacement data and analyzes the interlocking behavior of the observation points, that is, the behavior pattern, and confirms the size and speed of the slope. .

It is assumed that there are N observation points or poles on the surface of the measurement target slope, and each observation point is called P1, P2, ..., Pn. The time distribution for measuring data is called t1, t2, ..., tn, and the change in position of each observation point over time, that is, the displacement of the upper slope is called D. Therefore, the displacement of Pi point over time can be expressed as Di (t1), Di (t2), ..., Di (tn), or simply Di (tk), k = 1, 2, ..., tn Can be.

In the same way, in the case of the Pj point, the displacement according to the time sequence is represented by Dj (t1), Dj (t2), ..., Dj (tn).

When time is tk, the displacement difference between two viewpoints Pi and Pj is defined as Equation 1 below.

When the time domain between two viewpoints Pi and Pj is [t1, t2], the time difference data of the displacement, Di, j (tk), can be expressed by Equation 2 below.

Here, the displacement difference Di (tk) has a distance dimension where the region is between [0 and ∞].

As shown in Fig. 4, in the case where the fracture of the slope is a shallow fracture where the fracture occurs at the bottom of the slope, the displacement will occur in the + ∞ direction, and when the fracture surface rotates, such as deep fracture, the displacement will move in the zero direction. Here, the engineering meaning of ∞ corresponds to slope failure, + means an increase in displacement between two observation points, and-means a decrease in displacement. Since the displacement difference generated from the slope should be compared and analyzed on the equation and graph to be developed later, it is better to calculate the displacement difference by changing it to a simple dimensionless constant. Therefore, since the displacement difference is moving between [0 and ∞], the function can be converted into a dimensionless constant using the characteristic of the tan function moving from [0 to ∞] between [0 and ∞]. The transformed dimensionless constant will move in the interval [0-1]. This conversion method is shown in Equation 3 below.

이다.or

to be.

This expression can be rearranged as shown in Equation 4 below.

의 영역은 0≤

≤90이므로,

는 [0 ~ 1]구간 내의 상수 값으로 계산된다. 그러므로

는 두 사면 관측점의 계측변위 데이터의 차이를 거리 차원이 아닌 무차원 상수로 나타낼 수 있는 값이다.here

The area of 0≤

≤90,

Is calculated as a constant value within the range [0 to 1]. therefore

Is a value that can represent the difference between the measured displacement data of two slope observation points as a dimensionless constant rather than a distance dimension.

However, knowing how the slopes interlock together, that is, the two observations on the slope move together, the size of the fracture surface can be known. In other words, if the same time-phase displacement difference between the two viewpoints on the slope is large, the two points are moving separately on different failure planes, and if there is little or no displacement, the two viewpoints are moving on the same failure plane, so the size and velocity of the failure plane Can be inferred.

를 최대값 1에서 빼주면된다.Therefore, it is necessary to introduce a new index of the difference between the displacement data of two viewpoints, that is, the proximity of the viewpoints. Proximity indices are entirely different from the displacement difference between two observation points. Proximity indices can be subtracted from the maximum difference from a constant displacement difference. The maximum value of the displacement represented by the sine function is 1 for + displacement and 0 for-displacement. Therefore, the proximity index is the displacement difference defined by the dimensionless constant,

Subtract from the maximum value of 1.

The proximity index between two observation points on the slope at time differences i and j is

)=발생가능한 최대변위 차(0 ~ ∞) - 실제 변위차(

) = 1(

의 양의 최대변위 값) -

(실제변위 값)Proximity Index (

) = Maximum displacement difference (0 to ∞)-actual displacement difference (

) = 1 (

Value of positive displacement)-

(Actual displacement value)

)(음의 실제변위 값)Or = 0-(-

) (Negative actual displacement value)

Therefore, for deep failures where the relative displacement between two viewpoints due to the rotation of the failure slope decreases, the proximity index will be negative, and for shallow failures where relative displacement increases due to translation of the failure slope, positive exponential values will occur. To have.

근접성 지수의 절대값이 작을수록 두 관측점의 변위차가 작으므로 거동 양상은 비슷하다. 즉, 지수가 1 혹은 0에 근접할수록 사면의 거동 양상은 비슷하며, 이는 같은 파괴면 상에 있다. 변위량이 지속적으로 증가하고 있는 일반적인 사면 거동에 대한 근접성 지수는 아래의 수식 5에 보인 바와 같으며, 만약 현저한 깊은 파괴로 인한 상대변위 감소 구간에서는 아래의 수식 5에 대해 부호만 다르게 정의된다.In conclusion, the greater the absolute value of the proximity index, the smaller the difference in time series data between two observation points, which means that the difference in displacement between two points is small. In other words,

The smaller the absolute value of the proximity index, the smaller the difference in displacement between the two observations. In other words, as the exponent approaches 1 or 0, the behavior of the slope is similar, which is on the same fracture surface. Proximity indices for general slope behavior with increasing displacements are shown in Equation 5 below, and only the sign is defined differently for Equation 5 below in the relative displacement reduction section due to significant deep fracture.

Next, the relative displacement difference is analyzed based on the displacement information of the target (S107). Here, the relative displacement difference means a similar degree of graph shape of the data series.

Since the behavior pattern due to the failure of the slope occurs over a long time, it is advantageous to find a shape in which the displacement difference between the two observation points shows different behavior with time. However, in the case of the proximity index, the total time series data between each observation point is simply represented by one index, so it is difficult to analyze the process of behavioral difference between each observation point. In other words, it is advantageous to use a graph that knows the process rather than the proximity index that represents the overall behavioral difference as one value. Therefore, I would like to introduce the concept of similarity to this requirement.

In other words, since the proximity index uses the concept of an average value, both the stable data and the unstable data may have the same average value.However, when the data are plotted on a graph, it is easy to see that the data of the graph having similar shapes show the same slope behavior. have.

)와 최소변위차(

)와 해당 시점의 변위차를 사용하여 구할 수 있다. 두 관측점의 최대변위 차와 최소변위 차의 차이가 변위차 차이의 최대값이 될 것이며, 이는 두 관측 데이터를 이용한 변위차 그래프의 최대간격(

-

)이 될 것이다. 그리고 최대 변위차값을 해당 시점의 변위차값으로 빼면 이는 변위차 그래프의 해당 시점의 간격이 되며(

-

), 해당 간격을 최대 간격으로 나누면 이는 상대 변위차가 될 것이다. 먼저, 최대 및 최소 상대변위 차는 아래의 수식6 및 수식7로 정의되며, 이는 도 5와 같이 나타낼 수 있다.To use the concept of similarity, we first define relative displacement. Relative displacement difference is the maximum displacement difference between two observations (

) And minimum displacement (

) And the displacement difference at that time. The difference between the maximum displacement difference and the minimum displacement difference between two observation points will be the maximum value of the displacement difference, which is the maximum interval of the displacement difference graph using the two observation data (

-

Will be Subtracting the maximum displacement difference value by the displacement difference value at that time becomes the interval of the corresponding time point in the displacement difference graph (

-

If you divide the interval by the maximum interval, it will be the relative displacement difference. First, the maximum and minimum relative displacement difference is defined by Equations 6 and 7 below, which may be represented as shown in FIG. 5.

The relative displacement difference of the time column data corresponding to a certain time tk in the observation time i and j of two observation points can be defined by Equation 8 below.

When the average value of two time column data is obtained, it can be defined by Equation 9 below.

의 범위는 [0 ~ 1]인 무차원수이므로, 당연히 이의 평균값인

역시 범위가 [0 ~ 1]사이인 무차원수이다.

값이 크거나 혹은 1에 근접할 때 i, j시간 구간의 데이터 시리즈는 유사한 모양을 갖게 될 것이다. 다시 말하면,

값이 작거나 0에 근접하면 i, j시간 구간의 데이터 시리즈는 서로 다른 모양을 갖게 될 것이다.

Since the range of is a dimensionless number that is [0 to 1],

It is also a dimensionless number ranging from [0 to 1].

When the value is large or close to 1, the data series of the i and j time intervals will have a similar shape. In other words,

If the value is small or close to 0, the data series in the i and j time intervals will have different shapes.

Next, similarity analysis is performed using the results of the proximity analysis and the state displacement difference analysis, and the slope behavior is determined based on the result of the similarity analysis (S109 to S111).

)라는 개념을 정의하였고, 데이터 시리즈의 그래프 형상의 비슷한 정도를 나타내기 위하여 상대 변위차(

)라는 개념을 정의하였다. 상기 두 가지 개념을 각각 사용하는 것이 아니라 함께 사용한다면, 두 관측지점의 시간 열 데이터의 변위차의 정도 및 그래프로 나타난 모양이 비슷한 정도(각 지점의 시간에 따른 데이터의 증감 정도)를 동시에 나타낼 수 있을 것이다. 이 두 개념은 근접성과 상대변위 차를 각각 좌표의 한 축으로 하여 도 6과 같이 그림으로 표현할 수 있으며, 같은 무리에 속하면 같은 거동을 나타내고 있다고 할 수 있을 것이다.In order to quantify the difference in the time series data of two observations, that is, the difference in displacement between two points, the proximity index (

), And the relative displacement difference (

) Is defined. If the two concepts are not used separately, but used together, the degree of displacement of the time series data of two observation points and the shape of the graph are similar (the degree of increase and decrease of data over time at each point) can be simultaneously represented. There will be. These two concepts can be expressed as a figure as shown in Fig. 6 by using the proximity and relative displacement difference as one axis of the coordinates, respectively, and it can be said that they represent the same behavior when belonging to the same group.

)은 아래의 수식 10과 같이 정의한다. 구간이 [0 ~ 1]사이인 두 무차원수로 구성되었으므로, 유사성은 당연히 [0 ~ 1]사이의 범위 구간에 존재한다.The similarity is defined using the product of the proximity index and the relative displacement difference produced by the time columns i and j of the two observations. This similarity (

) Is defined as in Equation 10 below. Since the interval consists of two dimensionless numbers between [0 and 1], similarity naturally exists in the range interval between [0 and 1].

An analytical model, as noted, was applied to the data in any region measured. FIG. 7 lists the original measurement data, and the displacement difference and the average displacement difference using the same are shown in FIG. 8. In FIG. 9, the relative displacement difference and the average relative displacement difference were calculated. The similarity calculated using the proximity index and the relative displacement difference is shown in FIG. 10, which is illustrated in FIG. 11.

As shown in FIG. 10, the proximity index showed a value close to 1 in all measurement data. This means that there is little displacement difference in the slope behavior of each observation point.

In the case of the relative displacement difference, it moves from 0.376 to 0.489, indicating that the measurement data is null. That is, as can be seen from the proximity, the displacement of the slope behavior does not have a big difference, but as shown in FIGS. 12 to 14, it can be seen that the graph shows an unstable graph pattern instead of a stable situation.

In conclusion, by using the concept of proximity, relative displacement, and similarity, the real-time slope behavior can be analyzed and deduced on slope stability after analyzing and processing various actual measurement data that may cause the slope collapse. will be.

The state measurement information and judgment information of the coastal coastal facilities determined in this way are used by a manager (a professional manager who manages coastal coastal facilities) and a general user (the relevant information) by using a communication network such as the Internet or a text transmission method such as SMS. As a user to be used).

The manager shall check the status measurement and judgment information of the transmitted coastal shore facilities and issue an alert and promptly follow up when it is determined that the coastal shore facilities may show signs of major damage or fear of collapse. Minimize the damage caused by large-scale damage or collapse of coastal shoreline facilities.

The present invention is not limited to the above-described specific preferred embodiments, and various modifications can be made by any person having ordinary skill in the art without departing from the gist of the present invention claimed in the claims. Of course, such changes will fall within the scope of the claims.

1A and 1B are schematic structural diagrams of a field system to which the present invention is applied.

2 is a configuration diagram of a state measurement system of a coastal shoreline facility according to the present invention.

Figure 3 is a flow chart showing a method for measuring the state of coastal shoreline facilities according to the present invention.

Figure 4 is an exemplary view for explaining the fracture surface of the slope in the present invention.

5 is a view for explaining the displacement difference of the slope behavior in the present invention.

Figure 6 is an exemplary view showing a similarity analysis method using the difference between proximity and relative displacement in the present invention.

7 is an example of original measurement data in the present invention.

8 is an example of the displacement difference and the average displacement difference in the present invention.

9 is an exemplary diagram of a relative displacement difference and an average state displacement difference.

10 is an example of similarity calculation using the proximity index and the relative displacement difference.

Figure 11 illustrates the similarity using the proximity index and relative displacement difference.

12 is a diagram illustrating a circular displacement measurement data over time.

13 is an exemplary view of a displacement difference between observation points of slope behavior.

14 is an exemplary view showing a state displacement difference between observation points of slope behavior.

<Explanation of symbols for the main parts of the drawings>

100... Field system

101 to 104. target

111 to 114... pole

130... Displacement information transmission means

200... Means of state measurement of shore shore rest facility

220... Database server

230... Displacement Information Analysis Means

300... communications network

Claims (5)

delete delete delete delete In the method for measuring the state of the coastal coastal facilities through the field system and the condition measuring means of the coastal coastal facilities, A measurement step of measuring a displacement of a target using a displacement sensor installed on the ground surface or the ground of the coastal shoreline facility in the field system; Proximity to group the displacement information of the target measured in the measurement step in the state measuring means of the coastal shoreline facilities, and to analyze the proximity which is the degree of correlation of the time series data of each observation point based on the displacement information of the grouped targets. An analysis step; A relative displacement difference analyzing step of analyzing, by the state measuring means of the coastal shoreline facility, the maximum displacement difference and the minimum displacement difference between the two observation points and the relative displacement difference which is the displacement difference between the viewpoints based on the displacement information of the target; And Similarity analysis to determine whether belonging to the same group after expressing the proximity and relative displacement difference as a picture of each axis based on the result of analyzing the proximity and relative displacement difference in the state measuring means of the coastal shoreline facility Performing a similarity analysis step of determining the behavior of the coastal slope, Grouping the displacement information of the target, Displacement information of horizontal targets installed in the same section is grouped into one group, The proximity analysis step, By comparing the displacement data of each observation point to analyze the linkage of the observation points, and based on the results of the linkage analysis analysis to determine the behavior of the slope, The relative displacement difference analysis step, The relative displacement difference is calculated using the difference between the maximum displacement and the minimum displacement between the two observation points and the displacement difference at that time. The similarity analysis step, And multiplying the proximity index obtained in the proximity analysis step and the relative displacement difference obtained in the relative displacement difference analysis step, and analyzing the similarity using the result.

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