KR101949822B1 - Sensing System for Collapse of Slope - Google Patents

Abstract

The present invention relates to a slope failure detection system, and more particularly, to a slope failure detection system capable of measuring and transmitting surface displacement data and environment change data to a plurality of sensing modules using a wireless communication method, In addition, it is possible to perform the installation work quickly and easily, and the replacement and maintenance work of the sensing module can be performed more conveniently. In addition to the method of measuring only the surface displacement, the external environment change The possibility of collapse of the slope surface can be predicted according to whether the external environment change condition is above the environmental change criterion value. Thus, even if the surface displacement does not actually occur, There is a dictionary for slope collapse To provide a slope collapse detection system that enables more secure.

Description

[0001] SENSING SYSTEM FOR COLLAPSE OF SLOPE [0002]

The present invention relates to a slope failure detection system. More particularly, the present invention makes it possible to measure and transmit surface displacement data and environment change data to a plurality of sensing modules using a wireless communication method, thereby making it possible to more easily measure a collapse state with respect to a slope surface, And it is possible to perform the replacement and maintenance work of the sensing module more conveniently. In addition to the method of measuring only the surface displacement, the measurement of the external environment for the area other than the surface displacement, The possibility of collapse of the slope can be predicted according to whether or not the slope of the slope is greater than or equal to the environmental change criterion. Thus, even if the actual displacement does not occur, More securely. The present invention relates to a slope failure detection system that locks a slope.

Generally, the slope surface is formed by an artificial cut or embankment or is formed by a natural settlement. When the slope surface is weakened, it causes great loss of life and material damage.

Particularly, the slope of the slope is often caused by the geographical characteristics of the mountainous region and the climate characteristic of the winter season where about two-thirds of the average annual rainfall (1300 ~ 1500mm) is concentrated in Korea. This causes yearly loss of people and property, .

In order to prevent collapse of the slope, a physical construction technique such as a net, a partition, and a concrete installation method has been used. However, such a construction method has a problem that the slope can not be sufficiently collapsed.

Recently, a method for predicting the collapse of the slope and predicting the slope has been actively researched and developed. As a countermeasure to prevent the collapse of the slope in advance, slope maintenance system is currently being developed in Korea by Korea Institute of Construction Technology and Road Traffic Research Institute of Korea Highway Corporation for slope slope of general highway and expressway in Korea. The system is commonly developed based on the investigation of current slope distribution, slope survey and stability analysis, establishment of countermeasure method, and database construction on slope data.

A slope failure detection system for predicting the slope failure of a slope surface is a widely used method for predicting the collapse of a slope by measuring a strain of a wire in real time by connecting a plurality of files to a slope and connecting the upper portion of each file with a wire have.

However, this slope failure detection system has a problem that it is impossible to precisely predict the possibility of the slope collapse because only the change of the slope surface can be observed, but the change of the slope surface can not be detected at all.

Particularly, slope slopes are generally formed by forming a rock layer on a deep depth layer, and a slope layer on top of a rock layer. The slope collapse occurs in a form in which the slope layer collapses. Therefore, it is desirable to estimate the slope failure probability by measuring the ground slope change as well as the ground slope change, thereby further improving the prediction accuracy. Therefore, there is a strong demand for a detection system capable of detecting such slope change.

In addition, the system for predicting the collapse probability of the slope is composed of a method of measuring only the change of the current indicator, which predicts the possibility of collapse through the actual change of the land surface. Strictly speaking, when the slope is microscopically collapsed, There is a problem in that, in the case of collapsing accident that occurs suddenly in the state where there is no change of the surface, it is not detected at all.

Korean Patent No. 10-1457649

SUMMARY OF THE INVENTION The present invention has been made to solve the problems of the related art, and an object of the present invention is to provide a sensor module capable of measuring and transmitting surface displacement data and environment change data using a wireless communication method to a plurality of sensing modules, It is possible to measure the collapse state more conveniently, to perform the installation work quickly and easily, and to provide a slope surface collapse detection system which can more conveniently perform the replacement and maintenance work of the sensing module.

Another object of the present invention is to measure not only the surface displacement but also the surface displacement as well as the external environment change to the area so as to predict the possibility of collapse of the slope depending on whether the external environment change condition is above the environment change reference value, Accordingly, it is possible to predict the collapse of the slope failure due to the degree of the external environment change even if the surface displacement does not actually occur, and to provide a slope failure detection system that can more safely perform the slope failure prevention.

The present invention provides a sensing module comprising: a plurality of sensing modules provided on a slope surface and including an indicator displacement sensing unit for measuring a displacement of an indicator; and an environmental change sensing unit for measuring an external environment change; A wireless communication unit receiving a measurement value from a plurality of the sensing modules and wirelessly transmitting the measured values; A relay for transmitting measurement values of the plurality of sensing modules from the wireless communication unit; And a measurement server that receives measurement values of a plurality of the sensing modules from the relay and estimates collapse probability of the sloped surface, and transmits a prediction result to the user terminal, wherein the measurement server measures The possibility of collapse is estimated by judging in real time whether or not the displacement state of the index is equal to or greater than the index displacement reference value and determining whether the environment change state measured by the environment change sensing unit is equal to or more than the environment change reference value, To provide a slope failure detection system.

Here, the surface displacement sensing unit may include a tilt sensor for measuring a slope change of an index, a distance sensor for measuring a distance between the plurality of sensing modules, and an acceleration sensor for measuring an amount of impact, , A humidity sensor, an illuminance sensor, and a rainfall measuring sensor.

The measurement server may further include a database for cumulatively storing the environment change data measured through the environment change sensing unit over time, and the environment change data may be stored in the environment A change reference value can be generated and stored in the database.

The measurement server may generate a new environment change reference value based on the reference value generation rule and store the new environment change reference value in the database when the surface displacement state measured by the surface displacement sensing unit is equal to or greater than the reference displacement reference value.

The reference value generation rule may include a step of comparing past environmental change data to set a period from a point in time when a change of a threshold value or more is changed to a present time as a symptom prediction period and the environment change data generated during the symptom prediction period as a whole, And setting the analysis result to a new environment change reference value.

In addition, if the symptom prediction period is different for different types of environment change data in the process of setting the symptom prediction period, the longest period may be set as the symptom prediction period.

According to the present invention, since the surface displacement data and the environment change data can be measured and transmitted to a plurality of sensing modules using the wireless communication method, it is possible to measure the collapse state with respect to the slope surface more easily, So that it is possible to carry out the replacement and maintenance work of the sensing module more conveniently.

In addition, it is possible to predict the possibility of collapse of the slope according to whether the external environment change condition is above the environmental change reference value by measuring the external environment change to the area other than the land surface displacement instead of simply measuring the surface displacement, Even if there is no displacement, if there is a possibility of collapse according to the degree of external environment change, it can be predicted, and it is possible to carry out the advance preparation for slope collapse more safely.

1 is a conceptual view of a slope failure detection system according to an embodiment of the present invention;
2 is a functional block diagram functionally illustrating the configuration of a slope failure detection system according to an embodiment of the present invention.
FIG. 3 is a flowchart illustrating a slope failure prediction method using a slope failure detection system according to an embodiment of the present invention,
4 is a flowchart illustrating a slope failure prediction method using a slope failure detection system according to another embodiment of the present invention, in accordance with a logic flow.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

2 is a functional block diagram functionally showing the configuration of a slope failure detection system according to an embodiment of the present invention. [0027] FIG. 1 is a block diagram of a slope failure detection system according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating a slope failure prediction method using a slope failure detection system according to an embodiment of the present invention, in accordance with a logic flow.

The slope surface collapse detection system according to an embodiment of the present invention includes a plurality of sensing modules 100 installed on slopes, a wireless communication unit 200 receiving measurement values from a plurality of sensing modules 100, A repeater 300 for transmitting and receiving measurement values from the communication unit 200 and a measurement server 400 for receiving measurement values from the repeater 300 and estimating collapse probability.

The sensing module 100 is installed on the slope surface 10 to measure the surface change of the slope surface 10 and the environmental change state. As shown in FIG. 1, slope 10 is formed in such a manner that a rock layer 11 exists in a deep layer and a tolstone layer 12 is stacked on an upper portion of rock layer 11. Slope collapse generally occurs when the slope of soil layer 12 It is caused by collapse. The sensing module 100 is installed in an upper space of the slope surface 10 by a separate support 101 partially buried in the soil layer 12. [

The sensing module 100 includes a surface displacement sensing unit 110 for measuring the displacement of the surface and an environment change sensing unit 120 for measuring an external environment change. The surface displacement sensing unit 110 includes an inclination sensor for measuring a slope of the surface, an acceleration sensor for sensing the amount of impact of the surface and movement of the acceleration sensor, a distance measuring unit Sensor. The distance sensor is used to measure the distance between the sensing modules 100. An optical sensor such as an infrared sensor may be used. By measuring the distance between the sensing modules 100 through the distance sensor, When the position of the module 100 changes, a change in the position of the sensing module 100 can be sensed through the distance sensor, and it can be seen that the surface displacement has occurred at the position of the sensing module 100. The environmental change sensing unit 120 measures a change in the external environment with respect to an area where the sensing module 100 is installed, and includes a temperature sensor for measuring temperature, a humidity sensor for measuring humidity, and a rainfall measuring sensor for measuring precipitation .

Accordingly, the sensing module 100 can measure the displacement state of the surface of the earth through the surface displacement sensing unit 110 and separately measure the external temperature, humidity, precipitation amount, and the like with respect to the corresponding region through the environment change sensing unit 120 Can be measured.

The wireless communication unit 200 is installed in each sensing module 100 and receives measured values measured by the respective sensing modules 100 to wirelessly transmit the information to the repeater 300. The wireless communication unit 200 may be manufactured using a beacon device or the like.

The repeater 300 is configured to receive the measured values of the sensing module 100 wirelessly from the wireless communication unit 200 and to transmit the measured information to the measurement server 400 in a wireless communication manner, To the measurement server 400 via the network. The repeater 300 may be installed in a predetermined area where a plurality of the sensing modules 100 are installed and may transmit signals of the plurality of sensing modules 100 to the measurement server 400 through a single repeater 300 .

The measurement server 400 receives the measurement values of the plurality of sensing modules 100 from the repeater 300, predicts collapse probability of the slope, and transmits the prediction results to the user terminal 500. The measurement server 400 determines in real time whether or not the displacement state of the indicator measured by the surface displacement sensing unit 110 is equal to or greater than the index displacement reference value. If the environment change state measured by the environment change sensing unit 120 is It is configured to estimate the collapse probability by judging whether or not it is equal to or greater than the environmental change reference value per unit time.

According to this configuration, the slope failure detection system according to an embodiment of the present invention measures not only the surface displacement but also the surface displacement as well as the displacement of the external environment to determine whether the external environment change state is equal to or greater than the environmental change reference value It is possible to predict the collapse probability of the slope. In other words, if there is a possibility of collapse according to the extent of the external environment change, even if the surface displacement does not actually occur, it can be predicted and it is possible to more safely and thoroughly prepare for the slope collapse.

At this time, the state of the surface displacement measured by the surface displacement sensing unit 110 is transmitted to the measurement server 400 in real time, and when the measured displacement displacement value is larger than a predetermined index displacement reference value, And is configured to be transmitted in real time. Alternatively, the environment change status information transmitted by the environment change sensing unit 120 to the measurement server 400 or transmitted in real time per unit time may be determined by the measurement server 400 per unit time, It is determined whether or not the environment change state is equal to or greater than a preset environment change reference value. If the environment change reference value is equal to or greater than the environmental change reference value, the corresponding information is transmitted to the terminal 500 in real time.

First, in the measurement server 400, environment change data measured through the environment change sensing unit 120 is cumulatively stored (stored) in time according to time, A database 410 is provided.

3, the surface displacement data is measured through the surface displacement sensing unit 110 of the sensing module 100, the environmental change data is measured through the environment change sensing unit 120 (S10), and the measured index Displacement data and environment change data are stored in the database 410 of the measurement server 400 (S20). The metrology server 400 receives the surface displacement data and the environment change data through the repeater 300 and determines whether the surface displacement data is equal to or larger than the index displacement reference value (S30). If the surface displacement data is equal to or larger than the index displacement reference value, a warning signal is generated (S70) and transmitted to the user terminal.

The measurement server 400 determines whether the unit time has elapsed (S40). If the unit time has elapsed, the measurement server 400 compares the received environment change data with the data of the database 410 (S50). In step S60, it is determined whether the environmental change data is equal to or greater than the environmental change reference value. If the environmental change data is equal to or greater than the environmental change reference value, a warning signal is generated in step S70 and transmitted to the user terminal.

Since the possibility of collapse of the slope surface is predicted by using both the surface displacement data and the environment change data through this process, unlike the conventional technology, if the environmental condition with a high possibility of collapse is maintained even if the actual surface change does not occur, It can be judged and a countermeasure can be taken in advance.

4 is a flowchart illustrating a slope failure prediction method using a slope failure detection system according to another embodiment of the present invention, in accordance with a logic flow.

The slope surface collapse detection system according to another embodiment of the present invention detects a slope surface collapse detection system according to another exemplary embodiment of the present invention when a surface displacement data is equal to or greater than an index displacement reference value, And further stores it in the database 410 to newly update the database 410. Through this process, the longer the system is used, the more recent data can be updated to predict the more likely collapse.

4, when the surface displacement data is equal to or larger than the surface displacement reference value, a warning signal is generated (S70) and transmitted to the user terminal. At the same time, a new environment change reference value is generated based on the reference value generation rule. , The reference value generation rule includes first setting a symptom prediction period (S81), analyzing the environment change data as a whole during the set symptom prediction period (S82), and generating a new environment change reference value based on the analysis , And then stores the new environmental change reference value in the database 410 and updates it.

Therefore, in the process (S60) of comparing the environmental change data with the database 410 per unit time (S50) and determining whether the environmental change data is equal to or greater than the environmental change reference value, the new environment change reference value is applied in an updated state, It is possible to predict the collapse probability more accurately.

In the method of setting the symptom prediction period (S81), the past environment change data may be compared as a whole from the current time, and the period may be set as the symptom prediction period from the point in time when the change beyond the threshold value is present.

For example, if the amount of precipitation greatly increases beyond the threshold of 60 days before the past 60 days, from this point of time, that is, from the past 60 days to the present point in time, can be set as the symptom prediction period.

At this time, since the measured environment change data includes various factors such as temperature, humidity, illumination, and precipitation as described above, the symptom prediction period is set in the same manner for each factor. If the symptom prediction period is set on the basis of the time point at which a change of the different kinds of environment change data from the past time point is more than the threshold value, the respective symptom prediction periods may be different from each other. In this way, when different symptom prediction periods are set for each environment change data, the longest period can be set as the symptom prediction period for the entire environment change data.

For example, for precipitation, the predicted period is from the past 60 days to the present from the past, and the predicted period is from the past 74 days to the present, and the temperature and the illuminance are compared with the past 45 days If it is determined that the present time is the predicted period, the period from before the longest period of 74 days to the present time can be set as the symptom prediction period.

When the symptom prediction period is set as described above, the environment change data generated during the symptom prediction period is analyzed as a whole. For example, it is possible to analyze how much precipitation is total, temperature, humidity, and illuminance, respectively, during a symptom prediction period, and generate a total amount or average for each of them as a new environment change reference value corresponding to the warning prediction period.

For example, the environmental change threshold can be set to 250 mm (total amount) of precipitation and 72% (average) of humidity for 74 days. Therefore, the possibility of collapse can be predicted by comparing and analyzing the environmental change data per unit time based on the environmental change reference value and determining whether the past precipitation amount, humidity, etc. exceeded the reference value from the current point of time.

According to this process, whenever the surface displacement data exceeds the reference value, a new environmental change reference value is always newly generated based on this point and stored in the database 410, so that more data is accumulated and more accurate collapse occurs over time Possibility prediction is possible.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: sensing module
110: surface displacement sensing unit 120: environmental change sensing unit
200:
300: repeater
400: Measurement Server
410: Database
500: User terminal

Claims (6)

delete delete delete delete delete A plurality of sensing modules provided on the slope surface and including an indicator displacement sensing unit for measuring a displacement of an indicator and an environmental change sensing unit for measuring an external environment change;
A wireless communication unit receiving a measurement value from a plurality of the sensing modules and wirelessly transmitting the measured values;
A relay for transmitting measurement values of the plurality of sensing modules from the wireless communication unit; And
A measurement server for receiving measurement values of a plurality of the sensing modules from the repeater to estimate collapse probability of the slope and transmitting the prediction results to a user terminal,
Wherein the measurement server determines in real time whether a displacement state of the indicator measured by the indicator displacement sensing unit is equal to or greater than an index displacement reference value and that the environment change state measured by the environment change sensing unit is an environment change reference value The probability of collapse is predicted,
Wherein the surface displacement sensing unit includes a tilt sensor for measuring a slope change of an indicator, a distance sensor for measuring a distance between the plurality of sensing modules, and an acceleration sensor for measuring an impact amount,
Wherein the environmental change sensing unit includes a temperature sensor, a humidity sensor, an illuminance sensor, and a rainfall amount measuring sensor,
Wherein the measurement server includes a database for cumulatively storing environment change data measured through the environment change sensing unit over time,
Wherein the environmental change reference value is generated through a separate reference value generation rule based on the environment change data stored in the database and stored in the database,
The measurement server
A new environment change reference value is generated on the basis of the reference value generation rule and the existing environment change reference value stored in the database is updated with a new environment change reference value when the index displacement state measured by the surface displacement sensing unit is equal to or greater than the index displacement reference value Store,
The reference value generation rule
Comparing the past environmental change data and setting the period from the time when the change beyond the threshold value appears to the present time to the symptom prediction period;
Analyzing the environment change data generated during the symptom prediction period as a whole and setting the analysis result as a new environment change reference value,
In the process of setting the symptom prediction period
Wherein the symptom prediction period is set to the symptom prediction period when the symptom prediction period is different for different types of environment change data.

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