KR101909998B1 - A system and method for evaluating ground subsidence risk of sewer pipe surrounding ground, and a recording medium having computer readable program for executing the method - Google Patents

Abstract

The risk assessment system for the ground subsidence around the sewer pipeline includes a moving part, an image acquisition part, a damage information acquisition part, a duct soundness calculation part, a backside cavity detection part, a joint risk evaluation part, and a risk calculation part. The moving part travels in the sewer pipe, and the image acquiring part acquires images of different areas inside the sewer pipe by being mounted on the traveling part. The damage information obtaining part obtains predetermined damage information in the sewer pipe from the obtained image , The pipeline soundness calculator calculates the soundness of the sewer pipe by comparing the damage information with the predetermined standard of the sewage pipe integrity assessment and the rear cavity joint detection unit detects the cavity of the backside of the sewage pipe, And the joint risk assessment unit compares the backside common information with a predetermined backside common evaluation standard to calculate the joint risk of the backside of the drainage pipe. The risk calculation unit calculates the risk of the surrounding of the drainage pipe by using the drainage pipe health and the backside risk of the drainage pipe. The risk of subsidence is calculated.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a system, method, and computer readable program for implementing a method of evaluating the risk of a ground subsidence around a sewer pipe, and a recording medium recording the computer readable program for performing the method. FOR EXECUTING THE METHOD}

The present invention relates to a system and method for assessing the risk of subsidence, and more particularly, to a system and method for assessing the risk of subsidence around a sewer line.

In recent years, the frequency of occurrence of a single hole has been increasing, and damage cases have also increased. Especially, in the urban area, a lot of sinkholes are generated in relation to water supply and drainage pipelines or subway lines.

Attempts to predict occurrence of a sinkhole have been ongoing. For example, Japanese Patent Application No. 2008-135526 and Japanese Patent Application No. 2005-168680 disclose techniques for measuring the risk of sinkhole occurrence. .

However, these techniques are techniques for estimating the risk of earthquake - induced ground collapse, and there are some unsuitable aspects to be used for predicting the risk of subsidence occurring in relation to water supply and drainage pipelines.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a system and method capable of more effectively evaluating the risk of ground subsidence around a sewer pipeline.

In order to achieve the above object, according to the present invention, there is provided a system for assessing the risk of subsidence of a surrounding soil in a sewer pipe, comprising: a traveling part; an image acquiring part; a damage information acquiring part; a duct soundness calculating part; a backside joint detecting part; And a calculation unit.

And the damage information acquiring unit acquires predetermined damage information in the sewage pipe from the acquired image. The damage information acquiring unit acquires the damage information of the inside of the sewage pipe from the acquired image, And the conduit soundness calculating unit calculates the soundness of the sewer pipe by comparing damage information with a predetermined sewer pipe conduit soundness evaluation standard and the rear cavity joint detecting unit detects the cavity of the back surface of the sewage pipe, And the joint risk assessment unit compares the backside common information with a predetermined backside common evaluation standard to calculate the joint risk of the back side of the sewer pipe. The risk calculating unit calculates the risk of the back side of the sewer pipe, And calculates the risk of subsurface subsidence.

With this configuration, it is possible to more effectively evaluate the risk of depressions around the sewer pipe by using the image information obtained from the inside of the sewer pipe and the backside common detection information of the sewer pipe line.

In this case, the image acquiring unit may include a CCTV image acquiring unit for acquiring a CCTV image in the sewer pipe. According to such a configuration, it is possible to utilize the CCTV image inside the sewer pipe along with the inside image of the sewer pipe in the close-up view for analysis of the sewage pipe line.

The damage information obtaining unit may include a caption information extracting unit for extracting caption information of the CCTV image. According to such a configuration, not only the CCTV image but also the caption information output together with the image can be used for analysis of the sewer line.

The information processing apparatus may further include a position information obtaining unit that obtains the position of the running unit. According to this configuration, it is possible to grasp not only the damage to the sewer pipe, the presence or condition of the backside cavity, but also the position thereof.

In addition, the damage information obtaining unit may cause the back joint detecting unit to obtain the back joint information for the image acquisition region in which the predetermined damage information is obtained. With this arrangement, it is possible to perform detection of the back cavity concentrically with respect to a region where the possibility of the back cavity is high.

The apparatus may further include a conduit state data input unit for receiving preset state data for the sewage pipe, and a conduit state evaluation unit for calculating the state degree of goodness of the sewer conduit by comparing the input state data with preset state data standards, The calculation unit can further calculate the risk of subsidence of the ground around the sewer line by using the state goodness of the pipeline.

According to this configuration, it is possible to more effectively evaluate the risk of subsidence of the ground by utilizing the existing sewer pipe related data and opinions of the operation managers.

In addition, the status data standard may be a standard for at least one of a pipe type, a pipe diameter, a burial year, a drainage type, a buried surrounding road status, a maintenance history, and construction information of a sewer pipe.

In addition, a recording medium on which a computer-readable program for executing the above-described method and an invention in which the system is implemented in the form of a method is disclosed.

According to the present invention, it is possible to more effectively evaluate the risk of depressions around the sewer pipe by using the image information and the backside cavity detection information obtained in the sewer pipe.

In addition, it is possible to utilize CCTV images inside the sewer pipe along with the inside image of the sewer pipe in the close-up for analysis of the sewage line.

In addition, CCTV images as well as caption information output with images can be used for analysis of sewer lines.

In addition, it is possible to grasp not only the damage to the sewer pipe, the presence or condition of the back cavity, but also its position.

Also, it is possible to perform detection of the back cavity concentrically with respect to areas where the back cavity is likely to be present.

In addition, it is possible to more effectively evaluate the risk of subsidence by utilizing existing data on sewerage pipelines and opinions of operation managers.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic block diagram of a system for evaluating subsidence of a groundwater around a sewer line according to an embodiment of the present invention; FIG.
Fig. 2 is an example of a sewage pipeline condition evaluation table. Fig.
FIG. 3 is an example of a rating and judgment criterion table according to the state score. FIG.
FIG. 4 is an example of a table showing the influence of the sewage pipe condition evaluation result on the risk of soil depression.
FIG. 5 is an example of a table showing the state evaluation of a sewer line, the integrity evaluation, and the influence of the presence of a backside cavity on the risk of ground depression.
Fig. 6 is an example of a risk assessment chart for the risk of subsidence around a sewer line.
Fig. 7 is an example of the evaluation criteria table of Sewer-SRI.
8 is a schematic flowchart of a method for evaluating the risk of depressions around a water pipe according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a schematic block diagram of a groundwater depression evaluation system according to an embodiment of the present invention. The ground subsidence risk assessment system 100 includes a driving unit 110, an image acquisition unit 120, a damage information acquisition unit 130, a duct soundness calculation unit 140, a backside cavity detection unit 150, And a risk calculating unit 200. The image acquiring unit 120 may further include a CCTV image receiving unit 160, a position information obtaining unit 170, a channel state data input unit 180, a channel condition evaluating unit 190, The acquisition unit 122 and the damage information acquisition unit 130 each include a caption information extraction unit 132. [

In FIG. 1, each component of the ground-based subsidence risk assessment system 100 may be implemented by hardware alone, but it may be general to be implemented together with hardware and hardware-based software.

The traveling unit 110 travels in the sewer pipe. For this purpose, the traveling unit 110 can be adjusted in accordance with the drainage type and environmental conditions, and can be implemented as an unmanned traveling traveling apparatus capable of traveling, for example, a 800 mm to 1200 mm sewer line.

The plurality of image acquiring units 120 are mounted on the traveling unit 110 to acquire images of different areas inside the sewer pipe. The image acquisition unit 120 is implemented as a high-resolution camera, and a plurality of images of different areas within the running water pipe are photographed to minimize a square. For example, four cameras with 2 million pixels or more can be implemented, and the panoramic image of the inside of the sewer pipe can be photographed to detect microcracks of 0.3 mm.

The CCTV image acquiring unit 122 acquires the CCTV image inside the sewer pipe. According to such a configuration, it is possible to utilize the CCTV image inside the sewer pipe along with the inside image of the sewer pipe in the close-up view for analysis of the sewage pipe line.

The damage information obtaining unit 130 obtains predetermined damage information in the sewer pipe from the acquired image. The damage information set in advance is preset information for estimating the risk of subsidence, for example, information on steps, cracks, breakage, etc. of sewer lines and can be stored in the DB for each type of damage.

The damage information obtaining unit 130 may extract the feature from the image obtained from the image obtaining unit 120 and compare the damage with the type of damage stored in the DB to obtain damage information on the sewer pipe.

The caption information extracting unit 132 extracts the caption information of the CCTV image. According to such a configuration, not only the CCTV image but also the caption information output together with the image can be used for analysis of the sewer line.

The pipeline soundness calculating unit 140 compares the obtained caption information and the damage information with the predetermined standard for evaluating the soundness of the sewer pipe to calculate the soundness of the sewer pipe.

The backside cavity detection unit 150 is mounted on the travel unit 110 to detect the cavity of the backside of the drainage pipe to obtain backside cavity information. It is a structure for solving the problem that it is difficult to properly detect the cavity around the sewer pipe by the ground penetrating radar (GPR) survey performed on the surface of the ground. As a result, the reliability of the joint detection can be improved through direct exploration in the sewer pipe .

The back cavity detector 150 is optimized for the drainage type and environment conditions to obtain information such as the position and size of the cavity on the back of the drainage pipe. To this end, it is possible to apply GPR probes using various frequencies (500MHz ~ 2GHz) and to detect cavities within 1m around the pipeline.

The joint risk assessment unit 160 compares the back cavity information with a predetermined backside cavity evaluation standard to calculate the back joint risk of the drainage duct.

The position information obtaining unit 170 obtains the position of the driving unit 110. [ UWB can be used to measure the precise position in the pipeline, and the position recognition error rate of the sewer pipe probe can be realized within 30cm. According to this configuration, it is possible to grasp not only the damage of the sewer pipe, the existence and the condition of the back cavity but also the position thereof.

At this time, the damage information acquisition unit 130 may allow the back cavity detection unit 150 to acquire the back cavity information for the image acquisition region in which the predetermined damage information is acquired. According to such a configuration, it is possible to analyze the risk of subsurface depression through in-house GPR detection where it is judged to be dangerous through CCTV image analysis.

The pipeline state data input unit 180 receives preset state data for the sewage pipeline. The data for indirectly evaluating the performance of the target channel section in terms of the sewerage service is inputted by reflecting the existing sewer pipe related data and the opinion of the sewer pipe (operation & management) engineer.

For this purpose, data on six detailed evaluation items indirectly reflecting the performance of the sewer line such as the type of the pipe, the pipe diameter, the number of years of laying, the drainage type, the surrounding roads, and the history information can be inputted. The six items are as follows.

Tuberculosis: Hume tube, PE tube, multiple PE tube (3 items)

Diameter: 300mm or less, 300mm or more, 450mm or less, 450mm or more (3 items)

Year of burial: Hume pipe (less than 0 to 10 years, more than 10 years to less than 20 years or indefinite, more than 20 years, less than 0 to 10 years, less than 10 years to less than 30 years or indefinite, more than 30 years) 3 items)

Drainage type: sewer pipe, confluence type, excellence pipe (3 items)

Outer roads: Roads surrounding surrounding buildings (non-dimensional) (1 item)

Maintenance related: buried pipe history information (dimensionless) (1 item)

The pipeline condition evaluation unit 190 compares the input state data with a predetermined state data standard to calculate a state degree of goodness of the sewage pipeline. At this time, the status data standard may be a standard for at least one of the pipe type, pipe diameter, burial year, drainage type, burial surrounding road status, maintenance history, and construction information of the sewer pipe.

The degree of goodness score is calculated as 100 points (perfect score), and the score at high score can be evaluated as good. Based on the final evaluation score and the evaluation level derived, it is possible to support the improvement decision on the target channel section.

Item, content condition and score table for status evaluation are shown in Fig. 2 is an example of a sewage pipeline condition evaluation table. The evaluation score is calculated as follows.

here,

A: Basic score

n: Number of basic evaluation items (n = 6)

x: score by basic evaluation item

[Weight (A) × Condition value (B) × 100 points (converted point)]

The results of the evaluation of the condition of the sewer pipeline are for improvement decision for maintenance and classified according to the evaluation score (total score) ① good (standing) ② rehabilitation / washing ③ replacement.

The result of the state evaluation according to the evaluation score is shown in FIG. 3 is an example of a rating and judgment reference table according to the state evaluation score.

Replacement is necessary if there is a risk of physical damage to the sewerage system due to aging or a variety of accidents. That is, when the condition evaluation result of the sewer pipe is not good, the possibility of the ground depression around the pipeline is also increased.

Figures 4 and 5 illustrate the effect of the sewage line condition assessment and direct evaluation from the measured information on the Sewer-Sinkhole Risk Index (Sewer-SRI) around the sewer pipeline. Fig. 4 is an example of a table showing the influence of the evaluation result of the sewer pipeline condition on the risk of the ground depression around the sewer pipeline, Fig. 5 is a graph showing the state evaluation of the sewer pipeline, In the example shown in Fig.

The risk calculation unit 200 calculates the risk of subsidence of the ground around the sewer pipe using the soundness of the sewer pipe, the risk of joint risk at the back of the sewer pipe, and the state goodness degree. For example, it is calculated using the results of the state assessment of the sewer line and the results of CCTV image analysis and GPR detection, which are direct evaluations.

Sewer-SRI (Sewer-SRI) is an evaluation index for estimating the risk of soil depression around the sewer pipeline. Fig. 6 is an example of a risk evaluation table for the risk of subsidence around a sewer line. Sewer-SRI's evaluation score calculation formula is as follows.

here,

Sewer-SRIp = Sewer-SRI Score

n = number of items to be evaluated

x = score by evaluation item [weight x condition value x 100 points (converted score)]

The rating of Sewer-SRI is shown in FIG. Fig. 7 is an example of the evaluation criteria table of Sewer-SRI.

8 is a schematic flowchart of a method for evaluating the risk of depressions around a water pipe according to the present invention. 8, an SRI evaluation method using a Sinkhole Risk Index (SRI) evaluation apparatus evaluates the state of an underground pipe, calculates an evaluation value (S110), evaluates the pipe damage using the pipe inner side image, (S120), the evaluation value is calculated by evaluating the back cavity of the conduit (S130). Then, the sinkhole risk index (SRI) around the pipeline is evaluated based on the calculated three evaluation values (S140).

Basic information about the pipeline can be entered in order to make the above evaluation. The basic information about the pipeline includes the information of the pipelines buried in the pipeline, the type of pipeline (metal / nonmetal, detailed ducts (ex, ductile iron, etc.)), pipe length, pipe length, and burial year.

In addition, filtering information that defines the section of the object channel may be further included. (Eg, galvanized steel pipe), whether or not the pipes are not lined (CIP), etc. Structural stability or water quality according to laws, regulations or judgments Water Quality Safety Whether or not a tube is judged to be inappropriate in terms of securing can be used.

The SRI evaluation method can be applied to water pipe and sewer pipe in different ways. The following describes the SRI evaluation method in the sewer pipeline.

In Fig. 2, the evaluation table of the sewer pipeline condition includes detailed evaluation items on the type of drainage and drainage. Tuberculosis can be evaluated as 'A' for chest tubes, 'B' for PE tubes, and 'C' for multiple PE tubes. The drainage type can be evaluated as 'A' for sewer pipes, 'B' for combined multiples, and 'C' for double pipes.

Sewer-SRI (Sewer-SRI) is calculated by using the result of the state evaluation of the sewer pipe and the result of CCTV image analysis and GPR detection directly evaluated.

The SRI evaluation method according to the embodiment described above may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and constructed according to the embodiments, or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

Each of the drawings referred to in the description of the preceding embodiments is merely one embodiment shown for convenience of explanation, and items, contents and images of the information displayed in each drawing may be modified and displayed in various forms.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: Risk assessment system for the ground subsidence around sewer pipeline
110:
120:
122: CCTV image acquisition unit
130: damage information obtaining unit
132: Subtitle information extracting unit
140: Pipe soundness calculator
150: back cavity detection part
160: Common Risk Assessment Department
170: Position information obtaining unit
180: channel state data input unit
190: Pipeline condition evaluation section
200: Risk Calculator

Claims (15)

A running section that runs in the sewer pipe;
A plurality of image acquiring units mounted on the traveling unit to acquire images of different regions inside the sewer pipe;
A damage information obtaining unit for obtaining predetermined damage information in the sewer pipe from the obtained image;
A pipeline soundness calculation unit for calculating the soundness of the sewer pipe by comparing the damage information with a preset sewer pipe soundness evaluation standard;
A back cavity detector mounted on the driving unit to detect a cavity of a back surface of the sewage pipe to obtain back cavity information;
A joint risk assessment unit for comparing the back cavity information with a predetermined backside joint evaluation standard to calculate a back joint risk of the drainage duct; And
And a risk calculating unit for calculating a risk of the ground depression around the sewer pipe using the soundness of the sewer pipe and the joint risk of the backside of the sewer pipe,
Wherein the image acquiring unit includes a CCTV image acquiring unit for acquiring a CCTV image in the sewer pipe,
Wherein the damage information obtaining unit includes a caption information extracting unit for extracting caption information of the CCTV image,
Wherein the pipeline soundness calculating unit further compares the caption information with the sewer pipe soundness evaluation criterion to calculate the soundness of the sewer pipe line.
delete delete The method according to claim 1,
Further comprising a position information obtaining unit for obtaining the position of the running unit.
The method of claim 4,
Wherein the damage information obtaining unit obtains the back cavity detection unit's back cavity information for the image acquisition region in which the predetermined damage information is obtained.
The method according to claim 1,
A conduit state data input unit receiving preset state data for the sewerage conduit; And
And a pipeline condition evaluating unit for comparing the state data with a preset state data reference to calculate a state goodness degree of the sewer pipeline,
Wherein the risk calculation unit calculates the risk of the ground subsidence around the sewer pipe by further utilizing the state goodness degree.
The method of claim 6,
Wherein the state data criterion is a criterion for at least one of a pipe type of a sewer pipe, a tube diameter, a buried year, a drainage form, a buried surrounding road state, a maintenance history, and construction information. .
The risk assessment system for the ground subsidence around the sewer pipeline,
An image acquiring step of acquiring images of different areas inside the sewer pipe from the running part traveling in the sewer pipe;
A damage information acquiring step of acquiring predetermined damage information in the sewer pipe from the acquired image;
Calculating a soundness of the sewer pipe by comparing the damage information with a predetermined sewer pipe soundness evaluation standard;
Detecting a cavity in the back of the sewer pipe to obtain back cavity information;
A common risk assessment step of comparing the back cavity information with a predetermined back cavity evaluation standard to calculate a back joint risk of the sewerage conduit; And
And a risk calculating step of calculating a risk of subsidence in the vicinity of the sewer pipe by using the soundness of the sewer pipe and the risk of joint risk on the backside of the sewer pipe,
The image acquiring step further acquires a CCTV image inside the sewer pipe,
Wherein the damage information obtaining step includes a caption information extracting step of extracting caption information of the CCTV image,
Wherein the pipeline soundness calculating step compares the caption information with the sewer pipe soundness evaluation standard to calculate the soundness of the sewer pipe line.
delete delete The method of claim 8,
Further comprising: a position information acquiring step of acquiring position information of the traveling part.
The method of claim 11,
Wherein the damage information acquisition step causes the backside cavity detection step to be performed on the image acquisition area in which the predetermined damage information is obtained.
The method of claim 8,
A pipeline state data input step of receiving state data set in advance for the sewer pipeline; And
Further comprising a duct condition evaluation step of comparing the state data with a preset state data reference to calculate a state goodness degree of the sewer pipe,
Wherein the risk calculating step further calculates the risk of subsidence of the ground around the sewer pipe by using the state goodness degree.
14. The method of claim 13,
Wherein the condition data criterion is a criterion for at least one of a pipe type of a sewer pipe, a pipe diameter, a buried year, a drainage form, a buried surrounding road condition, a maintenance history, and construction information. .
A recording medium on which a computer-readable program for executing the method according to any one of claims 8 to 14 is recorded.

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