KR101918486B1 - underground utilities information acquisition apparatus based on big-data for exploring a composite pipe using resistivity, and the method thereof - Google Patents

Abstract

The present invention relates to an underground utilities information acquisition apparatus for exploring a composite pipe using resistivity, capable of acquiring pipe information about underground utilities using a database and a resistivity distribution acquired by a potential difference for each position of the ground, and a method thereof. Precise measurement data for the underground utilities buried under the ground can be secured. The underground utilities information acquisition apparatus includes a measurement unit for measuring position information about the underground utilities, a management unit for learning measurement result information in a database, a pipe determining unit for determining a single pipe or composite pipe, and a pipe information acquisition unit for acquiring the pipe information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and method for obtaining underground buried information based on a big data for exploring a composite pipe using an electrical resistivity,

The present invention relates to an apparatus and method for acquiring underground buried information based on a big data for exploring a composite pipe using an electrical resistivity, and more particularly, to an apparatus and method for acquiring underground buried information based on electrical resistivity, This invention relates to a technology for acquiring pipeline information on underground objects.

Due to the inaccurate buried information of sewerage, electricity, telecommunication, gas, oil, and heating pipelines buried underground for the aesthetics and safety of the city, construction, subway, roads, etc., It causes secondary damage such as singularity, power outage, and gas leakage.

Technologies such as magnetic markers, electromagnetic induction surveying, surface transmission radar, magnetic field communication, and electrical resistivity have been widely used for exploration of 7 complicated underground facilities in the past. However, It was impossible to obtain information of the entire buried pipe.

Furthermore, to conduct excavation work, it is necessary to investigate existing spatial information data to grasp the information of underground pipelines (or underground objects). However, in the past, it has been requested to request pipeline information of a local area, a national geographic information source, KEPCO, etc. and to synthesize it with a CAD (Computer Aided Design), so that the pipeline information can be comprehensively analyzed Equipment and services.

Tunnel and underground exploration using electrical resistivity is based on the principle that when two probes are installed at different locations and voltage is applied to one probe, the current flowing from the probe is the same as the current flowing into the other probe Based.

That is, the current density distribution in the state where only the soil constituting the general ground is present and the current density in the case where other materials such as electric power pipe, water pipe, sewer pipe, etc. are included, In order to obtain the n variables, n different equations are extracted and the n-order simultaneous equations are calculated to reverse the current and resistance relation for two different probe combinations.

Therefore, by using this method, the center position (x, y, z) of the pipeline buried in the basement, the radius r of the pipeline, the material m of the pipeline, and the direction d of the pipeline can be obtained.

However, a large amount of calculation is required to calculate the simultaneous equations, and the amount of calculation and the accuracy vary greatly depending on the pattern in which a plurality of probes are installed.

In tunnel and underground exploration using conventional electrical resistivity, the general installation structure in which two probe combinations are installed at intervals of 2 meters at intervals of 10 meters is selected. However, in the case where there is no prior information of the conduit buried underground, However, in most cases, with the basic seven underground burials (communication, power, water, sewage, heating, gas, oil, etc.) It is almost impossible to explore pipeline information.

Considering the time required to solve the simultaneous equations, there are limits to acquiring accurate data while installing in various forms.

SUMMARY OF THE INVENTION An object of the present invention is to provide a method and apparatus for setting a plurality of mathematical equations based on the assumption that a probe is installed in a square used in an electrical resistivity method by using a database for accumulating big data for various embedding conditions, By minimizing the time to be exposed, various trial and error methods are applied to acquire more accurate pipeline information.

It is also an object of the present invention to provide a technique for extracting a complex pipeline or a single pipeline for a variable exploration area and collectively obtaining different information on the buried pipeline for the entire exploration target area.

It is also an object of the present invention to solve the inaccuracies of a GPS sensor exhibiting a 10-meter error range using a centimeter-class high precision positioning module that works in conjunction with a mobile device.

It is another object of the present invention to provide a three-dimensional augmented reality service that provides pipeline information of underground objects to a construction target area such as a building, a subway, a road, etc. in real time in cooperation with a high-precision positioning module and a mobile device, And to prevent safety accidents.

The apparatus for acquiring underground buried information based on Big Data for exploring a composite pipe using the electrical resistivity according to an embodiment of the present invention includes a plurality of probes installed in the ground, a current is injected into the probe, A measurement unit for measuring an electrical resistivity distribution and measuring positional information on a buried underground buried object, a management unit for learning measurement result information including the electrical resistivity distribution and the location information in a database, And a pipeline information obtaining unit for obtaining pipeline information related to the underground buried object according to a result determined by the pipeline determining unit.

The measurement unit may selectively inject current into at least one of the plurality of probe probes of the plurality of probes, measure the voltage through the unselected probe, and measure the electrical resistivity distribution by a potential difference according to the measured voltage .

Wherein the measurement unit interprets the positioning data with respect to the underground buried object in the ground from the electrical resistivity distribution, and the measurement unit uses the positioning data and the external positioning data received from the external high- Information can be obtained.

And the measuring unit obtains the position information by continuously correcting the data according to the movement of the user adjusting the high-precision positioning module.

Wherein the management unit stores the at least one or more information of at least one of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, and a pipe depth information related to the underground buried object located in a region to be surveyed, The measurement result information can be learned.

The pipeline determination unit may determine the composite pipeline or the single pipeline for the underground buried object based on the measurement result information including the electrical resistivity distribution and the location information based on the database.

The pipeline determination unit may determine the single pipeline including the composite pipeline information or the single buried pipeline information including different buried pipeline information for a plurality of the underground buried objects embedded in the region to be surveyed.

Wherein the pipeline information obtaining unit obtains, in the area to be surveyed, at least one of the pipe type, the pipe material, the pipe size, the pipe connection information, the pipe direction, the pipe location, and the pipe line of the composite pipe or the single pipe, And the depth of burial of the pipe.

Further, the apparatus for acquiring an underground buried information based on a big data for exploring a complex pipe using the electrical resistivity according to an embodiment of the present invention may include an information providing unit for providing the pipe information related to the underground buried object to a mobile device And the like.

A method of operating an apparatus for acquiring an underground buried information based on Big Data for exploring a composite pipe using an electrical resistivity according to an embodiment of the present invention includes the steps of injecting a current into a plurality of probes provided on the ground, Measuring the electrical resistivity distribution of the underground, measuring location information of the buried underground buried object, learning measurement result information including the electrical resistivity distribution and the location information in a database (DB) Analyzing the measurement result information based on the database to determine a complex pipeline or a single pipeline of the underground pipeline, and acquiring pipeline information related to the underground pipeline according to the determined result of the complex pipeline or the single pipeline .

Wherein the measuring comprises selectively injecting a current into at least one of the plurality of probes selected in the plurality of probes, measuring a voltage through the unselected probe, and measuring the electrical resistivity distribution by a potential difference according to the measured voltage .

Wherein the measuring step comprises the steps of: analyzing the positioning data for the underground buried object underground from the electrical resistivity distribution; comparing the positioning data with the high-precision positioning data for the buried underground buried object using the external positioning data received from the external high- The location information can be obtained.

Wherein the learning step comprises the steps of: storing at least one of at least one of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, and a pipe depth information related to the underground buried object located in a region to be surveyed, , It is possible to learn the measurement result information.

The determining step may determine the composite channel or the single channel for the underground buried object based on the measurement result information including the electrical resistivity distribution and the location information based on the database.

Wherein the acquiring step includes acquiring at least one of the pipe type, the pipe material, the pipe size, the pipe connection information, the pipe direction, the pipe position, and the pipe line of the composite pipe or the single pipe, And the depth of burial of the pipe.

Also, a method of acquiring underground buried information based on a big data for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention includes providing the pipe information related to the underground buried to a mobile device possessed by a user .

According to the embodiment of the present invention, by using a database for accumulating big data for various embedding conditions, a probe is installed in a square used in the electrical resistivity method, and a plurality of formulas formed as a whole, This method minimizes the time required to solve the problem, and can minimize the time dramatically. Therefore, it is possible to acquire more accurate pipeline information by applying various trial and error methods.

Also, according to the embodiment of the present invention, it is possible to prevent a safety accident of the number of steps, power outage, and gas leakage due to pipe breakage in advance by preliminarily grasping the pipeline information about the underground buried underground.

According to an embodiment of the present invention, at least any one of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, a pipe position, and a depth of a pipe in a composite pipe or a single pipe for the buried underground , The entire information on the buried channel can be provided as a 3D augmented reality service.

In addition, according to the embodiment of the present invention, it is possible to prevent a large-scale accident of the ground deformation that may occur due to excavation work by a false inspection of the construction area.

In addition, according to the embodiment of the present invention, it is possible to improve the international status of the exploration field by securing the precise data of underground buried underground buried, and to solve the social problems such as disaster, safety and energy As shown in FIG.

Further, according to the embodiment of the present invention, by wirelessly connecting a plurality of probes, it is possible to easily increase or decrease the number of times of trial and error to acquire the medium characteristics of the conduit, and automatically change the ground point of the probe So that the approach of the high-precision positioning module can be facilitated.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating a detailed configuration of an apparatus for acquiring an underground buried information based on a big data for exploring a composite pipe using an electrical resistivity according to an embodiment of the present invention; FIG.
FIGS. 2A to 2D illustrate an example of providing pipeline information on a buried underground buried in a region to be surveyed according to an embodiment of the present invention.
3A and 3B illustrate an example of extracting a composite channel according to an embodiment of the present invention.
FIG. 4 illustrates an example of providing pipeline information according to an embodiment of the present invention.
5 is a flowchart illustrating a method of acquiring underground buried information based on a big data for exploring a complex pipe line using an electrical resistivity according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. In addition, the same reference numerals shown in the drawings denote the same members.

Also, terminologies used herein are terms used to properly represent preferred embodiments of the present invention, which may vary depending on the viewer, the intention of the operator, or the custom in the field to which the present invention belongs. Therefore, the definitions of these terms should be based on the contents throughout this specification.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating a detailed configuration of a device for acquiring an underground buried information based on a big data for exploring a composite pipe using an electrical resistivity according to an embodiment of the present invention. FIG.

Referring to FIG. 1, an apparatus for acquiring an underground buried information based on a big data for exploring a composite pipe using an electrical resistivity according to an embodiment of the present invention uses an electrical resistivity distribution obtained by a potential difference of a ground and a database Obtain pipeline information on underground objects.

A large data-based underground buried information obtaining apparatus 100 for exploring a complex pipe line using the electrical resistivity according to an embodiment of the present invention includes a measuring unit 110, a managing unit 120, a pipe determining unit 130 And a pipeline information obtaining unit 140. [

The measuring unit 110 injects a current into a plurality of probes installed on the ground, calculates a potential difference by location of the ground, measures the electrical resistivity distribution of the ground, and measures the position information of the buried underground buried object.

For example, the measuring unit 110 generates a voltage signal according to a frequency and converts it into a current, selectively injects a current into at least one selected probe pair among a plurality of probes provided in a region to be probed, The electric resistivity distribution due to the potential difference of the voltage can be measured by measuring an induced voltage with respect to the current injected through the electrode.

More specifically, the electrical resistivity distribution obtained from the plurality of probes may be determined by determining the coordinates of the underground buried object, the radius of the underground buried material, the electrical conductivity of the underground buried material, the electric conductivity of the surrounding medium, the dielectric constant ratio, the radius of the probe, Distance, and number of probes. Among these, the variables that can be known beforehand when performing field or indoor experiments may be the radius of the probe, the distance between the probes, the number of probes, and the electrical resistivity distribution.

Therefore, the measuring unit 110 can measure the electric conductivity of the underground buried object, the electric conductivity of the surrounding medium, the dielectric constant ratio, the center coordinates of the underground buried object, the radius of the underground object, The direction of at least one of the two directions can be predicted.

For example, the measurement unit 110 obtains an electrical resistivity distribution from a plurality of probes that are installed to a larger extent than the range of the roughly anticipated underground. At this time, the measuring unit 110 can repeat the process of obtaining the electrical resistivity distribution from a plurality of probes by selecting different pairs from among the probes.

Since the measurement unit 110 has eight variables to be acquired, that is, the electric conductivity of the underground buried material, the electric conductivity of the surrounding medium, the dielectric constant ratio, the center coordinates of the underground buried material, the radius of the underground buried material, Lt; RTI ID = 0.0 > resistivity < / RTI >

The Big Data-based underground buried information obtaining apparatus 100 for exploring a complex pipe line using the electrical resistivity according to the embodiment of the present invention includes an inverse analysis algorithm (for example, a genetic algorithm, Monte Carlo Method, etc.) to obtain the variables to be predicted, thereby obtaining the degree of relative softness with respect to the location, size, direction and surrounding of the underground buried object. According to the embodiment, the process of obtaining the degree of relative softness with respect to the location, size, direction, and periphery of the underground buried object by applying the inverse analysis algorithm to the electrical resistivity distribution is performed by the measurement unit 110 according to the embodiment of the present invention Or may be performed in the pipeline information obtaining unit 140. [

The probe should be grounded at the ground and wirelessly connected between points. Further, the arrangement and spacing of the probes can be set according to the probe resolution (precision) and the terrain conditions. For example, probes may be selected from the group consisting of a Wenner array, a Schlumberger array, a Pole-Pole array, a Pole-Dipole array and a Dipole-Dipole array. May be installed by at least one arrangement method, and the distance and the number may be different depending on the arrangement method and the terrain condition.

According to the embodiment, the measuring unit 110 may measure the electrical resistivity distribution for the buried underground buried object by using the vertical survey or the horizontal survey, or the simultaneous use of the vertical survey and the horizontal survey.

The vertical survey is a concept corresponding to the horizontal electric survey, and is a method of acquiring the physical property distribution from the underground heaven portion to the deep portion while increasing the interval of the probe at a specific location. In addition, the horizontal surveying is a surveying method for investigating the horizontal change of the underground structure, and is performed along a predetermined side line, and can be detected while maintaining the interval of the probes and the intervals of the probes in the electric and electromagnetic probes.

The measurement unit 110 analyzes the location data of the underground buried object from the electrical resistivity distribution and calculates the absolute coordinates of the buried underground buried object using the location data and the external positioning data received from the external high- Can be converted.

In this case, the high-precision positioning module 10 may be a positioning receiver that minimizes the distance from the mobile station (ROVER) in cooperation with its own base station, improves the positioning accuracy, and continuously utilizes the correction information.

For example, the user can move the area to be surveyed using the high-precision positioning module 10, and the external positioning data for the buried underground objects obtained by the high-precision positioning module 10 can be transmitted to the VRS Lt; / RTI > Therefore, the measurement unit 110 of the apparatus 100 for acquiring the underground buried information based on the big data for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention is able to acquire the underground buried information from the VRS (Virtual Reference Station) As shown in Fig.

The measuring unit 110 may measure the electrical resistivity distribution based on the potential difference according to the position according to the voltage received at each of the plurality of probes and interpret and acquire the positioning data with respect to the underground buried object using the electrical resistivity distribution . In addition, the measuring unit 110 receives the external positioning data from the VRS system or the high-precision positioning module 10 moving in the area to be surveyed, and obtains high-precision position information on the underground using the external positioning data and the positioning data can do.

At this time, the measuring unit 110 can acquire high-precision position information on the underground buried object by continuous correction of data according to the movement of the user adjusting the high precision positioning module 10 of the outside. The high-precision positional information may include at least one of a pipe size of the underground pipe, pipe connection information, a pipe direction, a pipe position, and a depth of the pipe.

The water pipe is buried at shallow depth of 1m and deep under 50m. However, it is difficult to detect the buried position of the water pipe buried in the ground with the conventional detection technology. However, The depth of exploration of the underground buried information obtaining apparatus 100 for exploring the big data is 12 meters and the maximum depth is 20 meters, which is suitable for exploration.

The management unit 120 learns the measurement result information including the electrical resistivity distribution and the position information in the database (DB) 160.

The database 160 may store and maintain at least one or more of the following information related to the type of underground buried in each area and location, pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, have. The database 160 also stores measurement result information measured by the measurement unit 110 of the underground buried information acquisition apparatus 100 based on the Big Data for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention. And can learn at least one of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, a pipe position, and a depth of a pipeline buried in the underground pipe received from an external server.

Underground soil structure and pipeline information have a large number of cases, and the number of such cases can be learned based on the numerical values obtained through experience. The experiential value can be obtained through actual survey of various ground structures and buried pipelines through actual measurement. However, since the database 160 for learning becomes more sufficient as more of the actual measurement data is accumulated, machine learning for gradual and accurate exploration becomes possible .

For example, when the medium characteristic of the water pipe as the cast iron pipe is 1, the medium characteristic of the sewer pipe as the concrete pipe is 2, and the medium characteristic of the PVC pipe is 4, the medium information between the two points is 5 If obtained, it is possible to infer that between the two points there is a constant pipe and a power pipe. Of course, even if one water pipe and two sewer pipes pass, it is 5, but it can be assumed that it is extremely rare that two sewer pipes pass at the same time. In this case, it is possible to trace a single channel in a trial and error manner until the medium information is 1 or 4 is obtained while narrowing the two points from the analogy that the two channels are flowing. That is, when the measurement value is known, the present invention can predict pipeline information buried underground by backtracking the components constituting the measurement value.

The apparatus 100 for acquiring underground buried information based on the Big Data for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention performs trial and error in an automated manner to obtain more accurate pipe information acquisition probability Can be improved.

The pipeline determining unit 130 analyzes the measurement result information based on the database 160 to determine a complex pipeline or a single pipeline of the underground pipeline.

For example, the channel determination unit 130 may use an artificial intelligence (AI) -based machine learning (machine learning) or a deep learning (deep learning) based on the database 160 Thus, it is possible to determine a complex pipeline or a single pipeline of underground objects according to measurement result information in an area to be surveyed.

The pipeline determination unit 130 may determine a single pipeline including a complex pipeline including information on different buried pipelines for a plurality of underground buried buried sites in the region to be surveyed or a single buried pipeline information.

The pipeline information obtaining unit 140 obtains pipeline information related to a subterranean buried object according to the result determined by the pipeline determining unit 130.

The pipeline information obtaining unit 140 may obtain the degree of relative softness with respect to the location, size, direction, and periphery of the underground buried object by applying an inverse analysis algorithm to the electrical resistivity distribution measured by the measuring unit 110. [ In addition, the conduit information obtaining unit 140 can infer the location and direction of the underground objects in the ground surface by applying the resistance value measured in the room or the field and the inverse analysis technique by theoretically deriving the electrical resistivity distribution.

Therefore, the pipeline information obtaining unit 140 analyzes the measurement result information including the electrical resistivity distribution and the position information based on the database 160 to calculate the pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, And the depth of burial of the substrate. Accordingly, the pipeline information acquiring unit 140 acquires the pipeline type of the complex pipeline or the single pipeline determined by the pipeline determining unit 130, the pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, The pipe information including at least one of the pipe line information and the pipe line information.

As shown in FIG. 1, a big data-based underground buried information obtaining apparatus 100 for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention may further include an information providing unit 150 have.

The information providing unit 150 may provide the channel information related to the underground buried to the mobile device 20 possessed by the user.

According to the embodiment, the information providing unit 150 may provide the pipeline information through the mobile device 20 possessed by the user in a two-dimensional (2D) map mode, a three-dimensional (3D) It can be provided as augmented reality mode UI / UX. Here, the mode setting or changing, information changing, and display setting can be variously applied by the user's selection input.

In this case, the map mode provides a plan view of a surrounding environment including a subterranean buried object embedded in a region to be surveyed using symbols or characters, and the comparison mode is a channel information acquisition unit 140 And the existing augmented reality information stored and held in the database 160. The augmented reality mode is a type of a complex pipe or a single pipe associated with the underground material, Dimensional duct shape information including at least one of size, pipeline connection information, pipeline direction, pipeline position, and depth of pipeline burial.

Here, the mobile device 20 may be a portable device of at least one of a laptop computer, a smart phone, a tablet PC, and a wearable computer carried by the user, And may be means for connecting the user-high-precision positioning module 10 and the underground buried-information obtaining apparatus 100, which are located in the high-precision positioning module 10.

FIGS. 2A to 2D illustrate an example of providing pipeline information on a buried underground buried in a region to be surveyed according to an embodiment of the present invention.

More specifically, FIG. 2A shows an example of selecting an area to be surveyed, FIG. 2B shows an example of measuring location information on a subterranean buried object, FIG. 2C shows an example of obtaining highly accurate location information And FIG. 2D shows an example of providing channel information through a mobile device.

Referring to FIG. 2A, a big data-based underground buried information acquisition device 240 for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention performs adaptive tiling on the area 210 to be surveyed To obtain pipeline information related to the underground buried object 215 buried under the exploration target area 210. [

More specifically, referring to FIG. 2B, a plurality of probes 211 may be installed in the region 210 to be explored depending on the topography condition of the region to be explored 210 and the type and shape of the underground buried object. In this case, the Big Data-based underground buried information acquisition device 240 for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention is configured to acquire underground buried information through the plurality of probes 211, The electrical resistivity distribution can be measured and the underground buried object 215 embedded in the underground can be explored (yellow area).

2b, the sink hole 213, the stone 214, and the underground buried object 215 may be buried in the bottom of the area to be explored 210, and in the embodiment of the present invention, The big data based underground buried information obtaining device 240 for exploring the complex pipe by using the electrical resistivity determines the complex pipe or single pipe of the underground pipe 215 and the pipe information related to the underground pipe 215 Can be obtained.

The underground buried information acquisition device 240 for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention sets a reference probe 212 as a reference point among the plurality of probes 211 0, 0, 0) can be applied. The relative coordinates may be used to obtain location information for underground objects, such as absolute coordinates, which will be discussed below.

Referring to FIG. 2C, the Big Data-based underground buried information obtaining apparatus 240 for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention includes an electrical resistivity distribution And can acquire the external positioning data from the high-precision positioning module 10, as shown in FIG.

At this time, the Big Data-based underground buried information acquisition device 240 for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention forms a virtual reference station near the mobile station to provide a high-accuracy positioning result And receive positioning data and external positioning data from a VRS system (Virtual Reference Station 230).

For example, the VRS system 230 may obtain positioning data and external positioning data according to the electrical resistivity distribution from the plurality of probes 211 and the high-precision positioning module 10, respectively, To the underground buried information acquisition device 240 for the big data for exploring the complex pipe using the electrical resistivity.

The Big Data-based Underground Embedded Information Acquisition Device 240 for exploring the composite pipe using the electrical resistivity according to the embodiment of the present invention is provided with an underground buried object 215 embedded in the ground using the positioning data and the external positioning data And can acquire high-precision positional information on the underground object 215 by continuously correcting the data according to the movement of the user 30 based on the relative coordinates and the absolute coordinates.

As shown in FIG. 2C, a plurality of probes 211 may be monitored for position, arrangement and spacing by satellites 220, and probe 211 may be a reference station.

The underground buried information acquisition device 240 for exploring a complex pipe line using the electrical resistivity according to an embodiment of the present invention is configured to acquire underground buried information based on the database 231, It is possible to obtain the pipeline information on the underground facility 215 using the resistivity distribution and the location information of the underground facility 215 and can acquire the pipeline information related to the underground facility 215 using at least one of application fields of communication, .

Referring to FIG. 2D, a big data-based underground buried information obtaining device 240 for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention includes a complex pipe or a single pipe To the mobile device (20) possessed by the user (30), pipe information including at least one of the pipe type, the pipe material, the pipe size, the pipe connection information, the pipe direction, the pipe location, The augmented reality mode or the map mode 250.

According to an embodiment of the present invention, a big data-based underground buried information obtaining apparatus 240 for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention includes a two-dimensional (2D) map mode, a three- (3D) augmented reality mode. In detail, it can provide tunnel information, tunnel preliminary survey, tunnel detection, joint detection, bedrock exploration, dam leakage detection, dam survey, oil tank It may also provide appropriate pipeline information for exploration purposes, such as leaks, landfill range, and sewer detection, and on the exploration platform.

3A and 3B illustrate an example of extracting a composite channel according to an embodiment of the present invention.

More specifically, FIG. 3A illustrates an example of extracting and acquiring a complex pipeline using an underground buried information acquisition apparatus based on a big data for exploring a complex pipeline using an electrical resistivity according to an embodiment of the present invention, FIG. 3B shows an example of extracting and acquiring a composite channel using an existing detection technique.

As shown in FIG. 3A, when the underground buried objects of the cast iron pipe 310 and the concrete pipe 320 are buried in the ground, a large data base for exploring the complex pipe using the electrical resistivity according to the embodiment of the present invention The u-PUSA (universal PUSA) can acquire pipeline information including different embedded pipeline information of the cast iron pipe 310 and the concrete pipe 320.

At this time, the pipeline information related to the underground buried object includes the pipe type of the complex pipeline or the single pipeline, the pipe type such as the cast iron pipe 310 and the concrete pipe 320, the pipeline size, pipeline connection information, pipeline direction, And a depth of embedding. For example, a single conduit may refer to a single cast iron pipe 310 or a concrete pipe 320.

However, the type, material, size, connection information, direction, and position information of the complex pipeline and the single pipeline are not limited to those shown in Figs. 3A and 3B.

3B, the conventional PUSA (Prediction of Underground Structure and Anomaly) can not extract, analyze, or recognize each of the cast iron pipe 310 and the concrete pipe 320, There is a limit to misjudge the center axis of the pipe.

That is, a universal PUSA (u-PUSA) based on a big data for exploring a complex pipe using an electrical resistivity according to an embodiment of the present invention can be applied to a complex pipe or a single pipe It is possible to detect the location of the submersible with high accuracy and to minimize the time for interpreting the pipeline information.

FIG. 4 illustrates an example of providing pipeline information according to an embodiment of the present invention.

Referring to FIG. 4, the mobile device transmits channel information about underground objects to a two-dimensional (2D) map mode a, a three-dimensional (3D) comparison mode b, or a three- c).

For example, a big data-based underground buried information acquisition device for exploring a complex pipe line using an electrical resistivity according to an embodiment of the present invention can provide acquired pipe information to a mobile device possessed by a user, (A), a three-dimensional (3D) comparison mode (b), or a three-dimensional (3D) augmented reality mode (c) according to the mode setting, information change, ).

In this case, the map mode (a) provides a plan view of the surrounding environment including the underground buried object buried in the area to be surveyed using symbols or characters, and the comparison mode (b) The augmented reality mode (c) is used to compare the existing pipeline information stored and maintained in the database, and the augmented reality mode (c) is used to compare the pipe type of the complex pipeline or single pipeline related to the underground pipeline and the pipeline material, pipeline size, pipeline connection information, , A pipeline position, and a depth of a pipeline buried in a three-dimensional solid form.

Here, the mobile device may be a portable device of at least one of a laptop computer, a smart phone, a tablet PC, and a wearable computer carried by the user, And a means for connecting the user-high-precision positioning module and the underground buried information obtaining device.

5 is a flowchart illustrating a method of acquiring underground buried information based on a big data for exploring a complex pipe line using an electrical resistivity according to an embodiment of the present invention.

The method of FIG. 5 is performed by an apparatus for acquiring an underground buried information based on a big data for exploring a composite pipe using an electrical resistivity according to an embodiment of the present invention shown in FIG.

Referring to FIG. 5, in step 510, a current is injected into a plurality of probes installed in the ground, a potential difference is calculated for each location of the ground to measure the electrical resistivity distribution of the ground, and the position information of the buried underground buried object is measured .

Step 510 may be to selectively inject current into at least one of the plurality of probe pairs selected, measure the voltage through the unselected probe, and measure the electrical resistivity distribution by a potential difference according to the measured voltage .

In operation 510, a voltage signal according to the frequency is generated and converted into a current. The current is selectively injected into at least one of the plurality of probes selected from the plurality of probes installed in the region to be probed, Measuring the induced voltage and measuring the electrical resistivity distribution by the potential difference of the voltage.

More specifically, the electrical resistivity distribution obtained from the plurality of probes may be determined by determining the coordinates of the underground buried object, the radius of the underground buried material, the electrical conductivity of the underground buried material, the electric conductivity of the surrounding medium, the dielectric constant ratio, the radius of the probe, Distance, and number of probes. Among these, the variables that can be known beforehand when performing field or indoor experiments may be the radius of the probe, the distance between the probes, the number of probes, and the electrical resistivity distribution.

For example, step 510 obtains an electrical resistivity distribution from a plurality of probes that are installed at a greater than expected range of underground masses. At this time, step 510 may repeat the process of obtaining the electrical resistivity distribution from the plurality of probes by selecting different pairs from among the probes.

Step 510 is followed by step 510, where the variables to be acquired are eight, ie, the electrical conductivity of the underground buried material, the electrical conductivity of the surrounding medium, the dielectric constant ratio, the center coordinates of the underground buried material, the radius of the underground buried material, And obtaining the distribution.

Step 510 further includes interpreting the location data for the underground underground burial from the electrical resistivity distribution, converting the absolute coordinates of the buried underground buried object using the positioning data and the external positioning data received from the external high- And acquiring high-precision position information on the underground burial object by continuously correcting the data according to the movement of the user adjusting the high-precision positioning module of the outside.

In this case, the high-precision positioning module may be a positioning receiver that improves the positioning accuracy by minimizing the distance from the mobile station in cooperation with its own base station and continuously utilizes the correction information.

In step 520, measurement result information including the electrical resistivity distribution and position information is learned in the database (DB).

Step 520 is a database for storing and holding at least one or more pieces of information related to the type of underground pipelines located in the region to be surveyed, pipeline material, pipeline size, pipeline connection information, pipeline direction and pipeline burial depth information, It may be a step of learning information.

The database may store and hold at least one or more of the type of pipeline, pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, and pipeline buried depth information pertaining to the underground buried per area and location. In addition, the database can learn the measurement result information measured in step 510, and can acquire the measurement result information measured in step 510, At least one of the information may be learned.

In step 530, the measurement result information is analyzed based on the database to determine the complex pipeline or single pipeline of the underground pipeline.

Step 530 uses the database based artificial intelligence (AI) -based machine learning (machine learning) or deep learning (deep learning) to calculate the measurement result information in the area to be surveyed And determining a complex pipeline or a single pipeline of the underground buried object.

In step 540, pipeline information related to underground objects is obtained according to the determined result of the complex pipeline or single pipeline.

Step 540 may apply the inverse analysis algorithm to the electrical resistivity distribution measured in step 510 to obtain the degree of relative softness with respect to the location, size, direction, and periphery of the underground buried object. In addition, step 540 may derive the electrical resistivity distribution theoretically to infer the location and direction of underground subsurface material in the ground surface by applying resistance values and inverse analysis techniques, measured indoors or in the field.

Therefore, in step 540, it is determined whether or not the pipe type, the pipe material, the pipe size, the pipe connection information, the pipe direction, the pipe position, and the depth of the pipe in the survey target area, And acquiring channel information including at least one of the channel information and the channel information.

In addition, the method for acquiring underground buried information based on Big Data for exploring a complex pipe using the electrical resistivity according to an embodiment of the present invention includes a step 550 of providing pipe information related to a subterranean underground to a mobile device possessed by the user .

For example, in step 550, the channel information is converted into a 2D (2D) map mode, a 3D (3D) comparison mode, or a 3D (3D) / UX. ≪ / RTI >

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment 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 configured for 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. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

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 exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

100: Underground buried information acquisition system based on Big data for exploring a composite pipe using electrical resistivity
210: area to be surveyed
211:
212: Reference probe
213: sink hole
214: Stone
215: Underground
220: satellite
231: Database
250: augmented reality mode or map mode
310: Cast iron pipe
320: Concrete pipe
330: Circular tube

Claims (17)

A measuring unit for injecting a current into a plurality of probes installed in the ground, calculating a potential difference by location of the ground, measuring an electrical resistivity distribution in the ground, and measuring position information on the buried underground buried object;
A management unit for learning measurement result information including the electrical resistivity distribution and the positional information in a database;
A pipeline determining unit for analyzing the measurement result information based on the database to determine a complex pipeline or a single pipeline of underground pipeline; And
And a pipeline information obtaining unit for obtaining pipeline information related to the underground buried object according to a result determined by the pipeline determining unit,
The management unit
The database storing and holding at least one or more information of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, and a pipe depth information related to the underground buried object located in a region to be surveyed, Wherein the information is learned by using the electrical resistivity of the underground buried information.
The method according to claim 1,
The measuring unit
Using an electrical resistivity to selectively inject current into at least one or more selected probe pairs of the plurality of probes, measure a voltage through an unselected probe, and measure the electrical resistivity distribution by a potential difference according to the measured voltage Underground buried information acquisition system based on big data for exploring a composite pipe.
3. The method of claim 2,
The measuring unit
The control unit interprets the positioning data for the underground buried object from the electrical resistivity distribution and acquires the high-precision positional information for the buried underground buried object using the positioning data and the external positioning data received from the external high- Based underground buried information acquisition device for exploring a composite pipe by using electrical resistivity.
The method of claim 3,
The measuring unit
Wherein the location information is obtained by continuous correction of data according to a movement of a user who adjusts the external high precision positioning module, wherein the location information is acquired by using the electrical resistivity.
delete The method according to claim 1,
The conduit determining unit
And determining the composite channel or the single channel for the underground buried object based on the measurement result information including the electrical resistivity distribution and the location information based on the database, Underground buried information acquisition device based on big data for exploration.
The method according to claim 6,
The conduit determining unit
Exploring the complex pipe line using the electrical resistivity to determine the single pipe line including the composite pipe line or the single buried pipe line information including different buried pipe information for a plurality of the underground buried objects buried in the area to be surveyed Big - data - based underground buried information acquisition device.
The method according to claim 6,
The pipeline information obtaining unit
Wherein at least one of the pipeline type, pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, and pipeline depth of the pipeline for the underground buried object to be measured, An underground buried information acquisition apparatus based on a big data for exploring a complex pipe line using an electrical resistivity for acquiring the pipe line information including at least one of the pipe lines.
The method according to claim 1,
And providing the pipeline information related to the underground buried to a mobile device possessed by the user,
Wherein the underground buried information acquiring unit acquires a buried underground buried information from the underground buried information.
A method of operating an apparatus for acquiring underground buried information based on a big data for exploring a composite pipe using electrical resistivity,
Measuring the electrical resistivity distribution of the ground by injecting a current into a plurality of probes installed on the ground, calculating a potential difference according to the position of the ground, and measuring location information of the buried underground buried object;
Learning the measurement result information including the electrical resistivity distribution and the position information in a database (DB);
Analyzing the measurement result information based on the database to determine a complex pipeline or a single pipeline of the underground pipeline; And
And acquiring pipeline information related to the underground buried object according to a result of the determination of the complex pipeline or the single pipeline,
The learning step
The database storing and holding at least one or more information of a pipe type, a pipe material, a pipe size, a pipe connection information, a pipe direction, and a pipe depth information related to the underground buried object located in a region to be surveyed, The method comprising the steps of: acquiring underground buried information based on a big data for exploring a complex pipe line using electrical resistivity.
11. The method of claim 10,
The measuring step
Using an electrical resistivity to selectively inject current into at least one or more selected probe pairs of the plurality of probes, measure a voltage through an unselected probe, and measure the electrical resistivity distribution by a potential difference according to the measured voltage A Method for Obtaining Underground Buried Information Based on Big Data for Exploring Composite Pipeline.
12. The method of claim 11,
The measuring step
The control unit interprets the positioning data for the underground buried object from the electrical resistivity distribution and acquires the high-precision positional information for the buried underground buried object using the positioning data and the external positioning data received from the external high- A method for acquiring underground buried information based on big data for exploring a composite pipe using electrical resistivity.
delete 11. The method of claim 10,
The determining step
And determining the composite channel or the single channel for the underground buried object based on the measurement result information including the electrical resistivity distribution and the location information based on the database, A method of acquiring underground buried information based on Big Data for exploration.
15. The method of claim 14,
The obtaining step
Wherein at least one of the pipeline type, pipeline material, pipeline size, pipeline connection information, pipeline direction, pipeline location, and pipeline depth of the pipeline for the underground buried object to be measured, A method for acquiring underground buried information based on a big data for exploring a complex pipe line using an electrical resistivity for acquiring the pipe line information including at least one of the plurality of pipe lines.
11. The method of claim 10,
Providing the pipeline information related to the underground buried to a mobile device possessed by the user
A method for acquiring underground buried information based on a big data for exploring a complex pipe line by using an electrical resistivity further comprising:
A computer program stored in a computer-readable medium for performing the method of any one of claims 10 to 12, 14 to 16.

Images