KR20200103179A - a Pipe Precision Safety Diagnosis System - Google Patents

Abstract

Disclosed is a system for precision safety diagnosis of a city gas buried pipe. According to one embodiment of the present invention, the system for precision safety diagnosis of the city gas buried pipe comprises: a data transmission/reception part which receives measurement data by an indirect inspection method; and a data processing part which receives the measurement data by the indirect inspection method from the data transmission/reception part, determines the risk of damage to a sheath based on the received measurement data, predicts the remaining lifespan of the sheath, and determines whether or not to evacuate the pipe by considering both the risk and the remaining lifespan.

Description

Pipe Precision Safety Diagnosis System {a Pipe Precision Safety Diagnosis System}

The present invention relates to a system for precise safety diagnosis of a city gas buried pipe. Specifically, the present invention relates to a system for precise safety diagnosis of a more precise city gas buried pipe using artificial intelligence.

The precise safety diagnosis of city gas buried pipes is to find potential risk factors and causes by using equipment and specialized personnel to prevent gas accidents occurring in old pipes, and to preemptively suggest countermeasures.

Precise safety diagnosis is an indirect inspection such as DC voltage gradient method, AC voltage gradient method, and close-distance potential survey to find points where corrosion is likely to occur, such as inspection of anticorrosive facilities, location detection of buried pipes, damage to the covering or points of corrosion problems. In addition, it includes leak detection technology with laser methane detection linked to GPS coordinates for all sections.

If corrosion is a concern due to damage to the covering of the buried pipe according to the field investigation result according to the indirect inspection method, it may be determined whether or not it is excavated according to the risk evaluation criteria. In addition, the result of damage to the covering during direct excavation, whether the pipe thickness is reduced, and the status of the pipe coding are provided to the city gas operator, the main body of the pipe management.

Previously, from 2014 to 2017, precision safety diagnosis was conducted for 455.5km with a relatively high risk of 4257.8km of old medium pressure pipes, but 11km of the target pipe was omitted in 2016 due to insufficient systematic support system and human error. For a total of 4 years, including the failure, the precise safety diagnosis for the 23km pipe was omitted, resulting in a blind spot for safety management.

Specifically, as a result of diagnosing the same pipes from 2014 to 2017, city gas companies estimated that 1,116 damaged areas were covered at 507.2km of buried pipes, but the precision safety diagnosis agency estimated it to be 1979 at 358.3km and investigated by two institutions. The results were different.

As a result of finding out by measurement by an indirect inspection method that investigates the point where the possibility of piping corrosion occurs during the precise safety diagnosis, it is confirmed that there are about 3,400 damaged parts of the sheath that cannot be classified as risk due to not being managed. Even though the city gas business operator itself repeatedly performs detailed safety diagnosis, it is difficult to obtain the basis for the post-management operation due to the lack of an indirect inspection measurement value history management system at the damaged part of the covering, and only monitoring is being performed.

The precision safety diagnosis system according to an embodiment of the present invention is provided with a precision safety diagnosis support system that can be used jointly by linking city gas business operators and precision safety diagnosis institutions to prevent omission of the pipe to be diagnosed and independent based on data analysis. The purpose of this study is to secure the reliability of the diagnosis result through the risk assessment.

In addition, the precision safety diagnosis system according to an embodiment of the present invention uses a wireless communication and artificial intelligence-based support system to allow field work personnel to measure values, the location of the damaged part, and the degree of damage through a mobile device during precise safety diagnosis. The purpose is to perform systematic safety management of buried pipes by transmitting the data to the server or receiving information on the length, location, shape, and post management history of the pipe to be diagnosed from the database.

In addition, the precision safety diagnosis system according to an embodiment of the present invention analyzes the correlation between the previously secured indirect inspection measurement data and the cover damage and the risk as a result of the excavation investigation, and is a support system server for the annual precision safety diagnosis. The purpose of this study is to support the detection of damaged parts and the decision-making of risk classification that depend on the experience and know-how of the responsible technician through artificial intelligence-based self-learning of the measured data received by the device.

In addition, the precision safety diagnosis system according to an embodiment of the present invention aims to prevent unnecessary excavation investigations by predicting the remaining life of the coating based on measurement data analysis and to track and manage minor damaged areas where it is difficult to classify the risk level. To do.

In the system for precise safety diagnosis of a city gas buried pipe according to an embodiment of the present invention, a data transmission/reception unit receiving measurement data by an indirect inspection method and a data transmission/reception unit receiving and transmitting measurement data by an indirect inspection method It includes a data processing unit that determines whether or not to excavate a pipe based on the received measurement data, determining the risk of the damaged portion of the covering, predicting the remaining life of the covering, and considering both the risk and the remaining life.

The precision safety diagnosis system according to an embodiment of the present invention can secure a social safety net and improve public reliability through unified management of buried pipes different for each business operator or institution by utilizing a support system, and tracking management of damaged parts.

In addition, the precision safety diagnosis system according to an embodiment of the present invention minimizes the occurrence of deviations in the diagnosis results performed by the city gas service provider and the precision safety diagnosis agency by estimating and predicting the damaged area of the covering independently of the experience and know-how of the responsible technician. Thus, reliability can be secured.

In addition, the precision safety diagnosis system according to an embodiment of the present invention will provide a social infrastructure framework for tracking and managing the entire abnormal state and management of buried pipe diagnosis history by interlocking with the future support system and geographic information system (GIS). I can.

In addition, the precision safety diagnosis system according to an embodiment of the present invention can be expanded and introduced not only to underground buried gas pipes, but also to dangerous pipes such as water and sewage, electricity, and oil pipelines, thereby enhancing national safety management.

1 is a block diagram showing a pipe precision safety diagnosis system according to an embodiment of the present invention.
2 is a flow chart showing the operation of the piping precision safety diagnosis system according to an embodiment of the present invention.
3 shows the results of actual excavation investigation on the damaged area.

Hereinafter, specific embodiments of the present invention will be described in detail with reference to the drawings. However, the spirit of the present invention is not limited to the following embodiments, and those skilled in the art who understand the spirit of the present invention can easily add, change, delete, and add components to other embodiments included within the scope of the same idea. It may be suggested, but it will be said that this is also included within the scope of the inventive concept.

In the accompanying drawings, in explaining the overall structure in order to easily understand the spirit of the invention, minute parts may not be specifically expressed, and when describing the minute parts, the overall structure may not be specifically reflected. In addition, even if specific parts such as the installation location are different, if the action is the same, the same name is given, so that the convenience of understanding can be improved. In addition, when there are a plurality of identical configurations, only one configuration will be described, and the same description will be applied to other configurations, and the description will be omitted.

Hereinafter, in order to solve the above-described existing problems, a precision safety diagnosis support system that can be used jointly by linking a city gas business operator and a precision safety diagnosis organization will be described.

1 is a block diagram showing a pipe precision safety diagnosis system according to an embodiment of the present invention.

As shown in FIG. 1, the piping precision safety diagnosis system 100 is connected to the system server 300, and the system server 300 operates in the field to collect data from at least one terminal 200. Data is collected, and the collected data is transmitted to the pipe precision safety diagnosis system 100.

Specifically, the terminal 200 and the system server 300 can exchange data by performing wired or wireless communication, and the system server 300 and the pipe precision safety diagnosis system 100 are also connected through wired or wireless communication. Can be.

Here, the terminal 200 may refer to a mobile electronic device including various sensors for collecting data, an image capturing device, and a communication device. The terminal 200 can be connected to the Internet wirelessly, and search and input basic piping information including the location, length, and depth of burial of the city gas buried piping subject to precision safety diagnosis, and precise safety diagnosis performed on the piping to be diagnosed. It may be possible to view historical information including measured values, estimated locations of cladding defects, risk levels, and actions taken according to excavation surveys, and input measurement data based on GPS coordinates.

The piping precision safety diagnosis system 100 may include a data transmission/reception unit 110, a database 120, and a data processing unit 130. The data transmission/reception unit 110 may include a wired or wireless communication device. The database unit 120 may include a memory. The data processing unit 130 may include a processor.

Here, the data received by the piping precision safety diagnosis system 100 is largely the piping information submitted by the city gas business operator, the piping management subject, to the Korea Gas Safety Corporation, the precision safety diagnosis agency, and on-site diagnosis by the Korea Gas Safety Corporation. It can be classified into two types of data collected from.

The piping information provided by the city gas service provider may include the following information.

⒜ Design and construction details such as piping drawing, material, thickness, welding, etc. (road burial, bridge addition, river passage, etc.), piping installation history, change construction history such as route change, and depth of piping burial (the location of the protective pipe in the unmaintained section, construction Way),

⒝ Results of soil and ground investigation around piping, soil resistivity values, drainage conditions, vehicle load concentration zones (roads with more than 5 lanes of one way with frequent traffic of 10 tons or more) and management status of piping through cut land and water and sewage (including areas with frequent flooding)

⒞ Electric type of piping and T/B (test box) management history, method measurement and maintenance information

⒟ Pipe operation pressure, temperature level, pipe operation information, pipe maintenance information, other construction history and maintenance information

In addition, data collected from the on-site diagnosis refers to data collected through the terminal 200. Data collected by the terminal 200 from the on-site diagnosis is transmitted to the system server 300. The system server 300 appropriately converts and processes data received from one or more terminals and transmits the data to the pipe precision safety diagnosis system 100.

The data collected from the field diagnosis may include the following information.

⒜ Whether city gas is leaking, whether the emergency shut-off device is operating normally, and the measured value of anti-corrosion potential

⒝ Indirect inspection measurement value (DCVG, ACVG, CIPS) to find a point where corrosion is likely to occur, such as a damaged part or an abnormal point of corrosion protection, whether or not the pipe is damaged, and the result of measuring the thickness reduction of the weak part of the pipe.

⒞ Indirect inspection is conducted by using DCGV and ACVG, which can evaluate the relative size of the damaged area of the covering in a large range and whether there is active corrosion, and continuously measure the anticorrosive potential state at intervals of 1 to 5 m with CIPS. Local anti-corrosion potential defect spots are detected (this can be divided into that due to cladding damage and interference between underground facilities and buried objects). In the case of interference problems, the tendency of the anti-corrosion potential is identified to find the point of interference and the cause.

⒟ Whether the drawings are correct, line marks, and signs are appropriate

2 is a flow chart showing the operation of the piping precision safety diagnosis system according to an embodiment of the present invention.

The piping precision safety diagnosis system 100 receives data transmitted from the terminal 200 in the field (S101). Specifically, indirect inspection result data measured by the terminal 200 in the field is transmitted to the system server 300, and the pipe precision safety diagnosis system 100 receives the data processed/converted appropriately by the system server 300. .

The piping precision safety diagnosis system 100 classifies the received data (S103). Specifically, the precision safety diagnosis system 100 may classify the data transmitted from the terminal 200 by category. Here, the category may be at least one of a main pipe number, a sub pipe number, a city gas service provider, a region, or a diagnosis year of the pipe to be diagnosed.

The piping precision safety diagnosis system 100 records and manages the classified data (S105). Specifically, the precision safety diagnosis system 100 may manage the classified data into a database.

The piping precision safety diagnosis system 100 estimates the risk of the damaged area based on the received data (S107). In general, it is determined whether to excavate by evaluating the risk according to the measured data of indirect inspection. However, currently, according to the indirect inspection measurement data, the risk of the damaged area is classified into only 3 grades, and the correlation between the measurement data of the excavation target and the information on the risk of the damaged area due to actual excavation has not been verified.

Therefore, the piping precision safety diagnosis system 100 according to an embodiment of the present invention analyzes/learns the correlation between the indirect inspection measurement data and the risk according to the size and shape of the covered damaged area discovered by the actual excavation survey, Through learning, an estimation model is generated to estimate the risk of the damaged area according to the data. In this case, the estimation model used may be an estimation model generated through a known machine learning method including an artificial neural network.

Methods of measuring indirect inspection may include DCGV, ACVG, and CIPS, and Table 1 below shows the criteria for evaluating risk according to the conventional indirect inspection method.

Diagnostic technique Risk assessment criteria according to the indirect test method Severe Moderate Minor CIPS
(External power method) Large Dips, on & off potential value
Higher than -0.850V Medium Dips
On potential value
Lower than -0.850V
Off potential value
Higher than -0.850V Small Dips
On&off potential value
Lower than -0.850V CIPS
(Sacrifice Bipolar Method) Large Dips potential value
Higher than -0.850V Medium Dips potential value
Higher than -0.850V Small Dips
Potential value
Lower than -0.850V DCVG 30-100%Anodic both
On&off
AA 5-30%
Cathodic on, anodic or neutral off
CA, CN 0.1-5%
Cathodic both on&off
CC PCM
(EM, AC atten) 50-100% 30-50% 1-30% PCM A-frame (ACVG) >70dBuV
(2ft intervals around defect) 50-70dBuV 30-50dBuV 4-PIN
Resistivity <1000ohm.cm 1000-10000ohm.cm >10000ohm.cm

And, the excavation investigation criteria according to the risk evaluation criteria are shown in Table 2 below.

division CIPS Severe Moderate Minor No indication DCVG
or
ACVG Severe Excavation Excavation Excavation if necessary Excavation if necessary Moderate Excavation Excavation if necessary Excavation if necessary observe Minor Excavation Excavation if necessary observe observe No indication Excavation Excavation if necessary observe No action

According to Table 2, (1) if the CIPS risk corresponds to Sever, the CIPS risk is moderate, and the DCVG (or ACVG) measured value corresponds to Sever, it is necessary to confirm the excavation. (2) If CIPS and DCVG (or ACVG) measured values are "moderate" or less and "excavate if necessary", if there is no defect corresponding to (1), the minimum The excavation can be confirmed by specifying more than one point, and if the excavation is not confirmed, the city gas company establishes an excavation plan on its own.

(3) If the CIPS and DCVG (or ACVG) measured values correspond to "observation", the city gas service provider performs self-management.

Conventionally, as described in Tables 1 and 2, the risk of the damaged area is determined collectively according to indirect measurement data, and whether or not to dig is determined according to the risk, but according to an embodiment of the present invention The piping safety precision diagnosis system 100 generates an estimated model for the correlation between the measured value of the existing indirect irradiation and the size and shape of the covered damaged area obtained from the excavation survey, and estimates the risk of the covered damaged area according to the estimated model. .

3 shows the results of actual excavation investigation on the damaged area.

The damaged part of the covering can be visually confirmed by the actual excavation survey as shown in FIG. 3, and at this time, the estimated model for estimating the damaged part by measuring the size of the damaged part or the depth of the damaged part, or specifying the shape Can be used as an input value of.

It comes back to FIG. 2 again.

The pipe safety precision diagnosis system 100 predicts the remaining life of the coating (S109). Specifically, the pipe safety precision diagnosis system 100 predicts the remaining life of the coating based on the coating thickness and the corrosion rate. In order to predict the life of the covering, it is an important part to calculate the corrosion rate according to the environment where the pipe is installed (for example, the nature of the soil where the pipe is installed).

To this end, the pipe safety precision diagnosis system 100 calculates the corrosion rate of the pipe covering based on the thickness change measured during the precise safety diagnosis excavation investigation in a specific environment in order to calculate the corrosion rate and the thickness change when the same pipe is re-diagnosed in the future. It can be converted into a database. Accordingly, the pipe safety precision diagnosis system 100 may predict the remaining life of the pipe covering based on the existing database on the corrosion rate and specific environmental information in which the pipe is installed.

In addition, the pipe safety precision diagnosis system 100 according to an embodiment of the present invention performs learning by inputting specific environmental conditions, corrosion rates, and covering thickness values of buried pipes, similar to risk assessment according to indirect investigation data. And, by generating an estimation model for estimating the remaining life as a result of the learning, it may be possible to more accurately predict the remaining life of the covering.

The piping safety precision diagnosis system 100 according to an embodiment of the present invention determines whether to excavate based on the estimated risk of the damaged area and the estimated remaining life of the coating (S111). Previously, it was determined whether to excavate according to the indirect inspection measurement result standard according to Tables 1 and 2 above. However, an error in reading data may occur, and in this case, a problem in which the actual excavation proceeds even though it is not an excavation target occurred.

Therefore, in order to compensate for the above problems, the piping safety precision diagnosis system 100 according to an embodiment of the present invention considers both the risk estimation of the damaged area and the prediction of the remaining life of the coating through a learning model. You can decide whether to proceed.

In an embodiment, when the risk of the damaged part of the pipe is estimated to be more than a specific value, the pipe safety precision diagnosis system 100 may determine the progress of the excavation investigation regardless of the prediction of the remaining life of the covering. In another embodiment, the pipe safety precision diagnosis system 100 may determine the progress of the excavation investigation when the remaining life of the coating is shorter than the re-arrival period of the precise safety diagnosis. In another embodiment, when the risk is estimated to be less than a certain value and the remaining predicted life is longer than the re-arrival period, the pipe safety precision diagnosis system 100 does not proceed with the excavation investigation, but only performs the history management through monitoring. can do.

Here, the pipe precision safety diagnosis system 100 may perform history management by storing diagnostic information including the risk and the remaining life of the target pipe based on the identification number of the pipe and GPS coordinates.

In the above-described operation step, S101 may be performed by the data transmission/reception unit 110, S105 may be performed by the database unit 120, and the other steps may be performed by the data processing unit 130. However, this is an embodiment of the operation, and the subject of each operation is not limited as described above.

The present invention described above can be implemented as a computer-readable code in a medium on which a program is recorded. The computer-readable medium includes all types of recording devices storing data that can be read by a computer system. Examples of computer-readable media include HDD (Hard Disk Drive), SSD (Solid State Disk), SDD (Silicon Disk Drive), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. There is also a carrier wave (eg, transmission over the Internet).

The above detailed description should not be construed as restrictive in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

Claims (5)

In the piping precision safety diagnosis system,
A data transmission/reception unit for receiving measurement data by an indirect inspection method; And
Receive measurement data by indirect inspection method from the data transmission/reception unit, determine the risk of the damaged area based on the received measurement data, predict the remaining life of the coating, and whether to excavate the pipe considering both the risk and the remaining life Including a data processing unit to determine
Piping precision safety diagnosis system. The method of claim 1,
The data processing unit,
A first estimation model is generated by determining the correlation between the measured data and the risk by the indirect test method through learning, and the risk of the clothing is estimated by putting the measured data by the indirect test method into the first estimation model.
Piping precision safety diagnosis system. The method of claim 1,
The data processing unit
A second estimation model for predicting the remaining life of the pipe is generated based on the database on the pipe corrosion rate and the environment information in which the pipe is installed, and the remaining life of the pipe by putting environmental information of the pipe to be estimated into the second estimation model. To predict
Piping precision safety diagnosis system. The method of claim 1,
Further comprising a database unit for classifying and storing measured data by indirect inspection method by category
Piping precision safety diagnosis system. The method of claim 4,
The category includes at least one of a main pipe number, a sub pipe number, a city gas business operator, a region, or a diagnosis year of the pipe to be diagnosed.
Piping precision safety diagnosis system.

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