KR20000056747A - Method or apparatus judging a metal pipe's electric potential as a result of self-studying - Google Patents

Abstract

PURPOSE: A method and an apparatus for judging abnormalcy of electric potential of pipeline by self-checking system are provided to accomplish improvements enabling the system administrator to discriminate abrasion or damage of pipelines with ease while allowing the administrator to directly manage the pipeline in real-time basis. CONSTITUTION: A method comprises a first step of judging whether a signal corresponding to a value of electric potential difference applied from a converter is normal, a second step of judging whether the signal corresponding to the value of electric potential difference is applied from a converter, a third step of judging whether the value of electric potential difference falls within a stable predetermined value area of a database, a fourth step of selecting the next converter and performing the first step if the value is judged as falling within the area in the third step, a fifth step of counting time if the value is not judges as falling in the third step, a sixth step of judging whether the time counted in the fifth step is larger than 1 second, a seventh step of performing the first step if the time is smaller than 1 second and performing a self-checking if the time is larger than 1 second, an eighth step of generating an alarm signal according to the result of checking in the seventh step, and a ninth step of checking the position of the relevant converter and displaying onto a state display the position having the highest probability.

Description

Method and apparatus for judging pipe potential abnormality by self-learning {Method or apparatus judging a metal pipe's electric potential as a result of self-studying}

The present invention is a method for determining the abnormality of the pipe potential by the self-learning that allows the real-time manager to easily manage the state of the metal pipe such as city gas pipes, oil pipes, etc. using electric potentials and to prevent accidents in advance. And to an apparatus.

In general, in order to prevent corrosion, metal pipes such as city gas pipes and oil pipes are planted with magnesium anodes and connected with metal pipes to prevent corrosion of metal pipes. However, since the metal pipe is buried in the ground, it is impossible to confirm the exact status of the metal pipe, which causes many difficulties in managing the metal pipe.

1 is a view schematically showing a device for detecting a conventional pipe state, Figure 2 is another view schematically showing a device for detecting a conventional pipe state.

In the metal pipe 10 embedded in the ground, a magnesium anode 12 connected to the metal pipe 10 is buried in the vicinity of the metal pipe 10 to prevent corrosion, and then the magnesium pipe 12 is embedded in the magnesium pipe 12. Corrosion of the metal pipe 10 is prevented by maintaining the potential of the connected metal pipe 10 at a potential of −850 mV or less. In the metal pipe 10, a reference electrode 14 made of saturated copper sulfate (Cu / CuSO4) material is embedded in a place adjacent to the metal pipe so as to be tested at least twice a year for the determination of proper potential maintenance. A method of directly measuring the reference electrode 14 by the multitester 18 is implemented by connecting the multitester 18 to 14. In addition, the multi tester 18 is installed by connecting a test box (T / B) 16, the test box 16 is connected to the metal pipe 10 embedded in the ground.

As shown in FIG. 1, the measuring method is sensitive to external influences such as measuring ground conditions, and should directly check a long distance section in which a metal pipe is installed for measuring, and also fails to meet potentials generated immediately after the measurement (such as contacting other facilities). If the operator does not perform the measurement until the next measurement cycle, it will be left in the state of potential dislocation as it is, so it takes a long time for the point of potential dislocation and the cause tracking.

As a method for solving the above problems, a method as shown in FIG. 2 is implemented. The metal pipe 10 is connected to a metal anode 10 by embedding a magnesium anode 12 adjacent to the metal pipe as shown in FIG. The reference electrode 14 is buried in the vicinity of 10. The reference electrode 14 connected to the metal pipe 10 is installed so that the converter 20 is connected to each other.

The converter 20 is a device for calculating a potential difference value between the metal pipe 10 and the reference electrode 14 and converting the calculated potential difference value into a constant signal. The converter 20 includes a remote terminal device (RTU). (22) is connected (or linked), and the remote terminal device 22 is a device for temporarily storing a signal applied from the converter 20 and immediately applying the signal to the modem 24. The modem 24 is a device that modulates the signal applied from the remote terminal device 22 into a communication protocol so that the signal applied from the remote terminal device 22 can be smoothly transmitted through the dedicated communication line. The signal converter 26 is connected to the modem 24 via a dedicated communication line, and a communication protocol is applied from the modem 24 to the signal converter 26. The signal converter 26 demodulates a communication protocol corresponding to a predetermined signal (1V to 5V) which is converted by the converter 20 and applied through the remote terminal device 22 and the modem 24. 5V). The potential display unit 28 is connected to the signal conversion unit 26, and the potential display unit 28 is a device for converting a signal applied from the signal conversion unit 26 to a potential difference value calculated by the converter 20. . The potential display portion 28 is connected to the potential amount / determination portion 30, and the potential amount / decision portion 30 compares and applies the potential difference value, which is a signal applied from the potential display portion 28, and is applied to the converter 20. It is a device for determining the presence or absence of the current status of the metal pipe (10) embedded in the area corresponding to the position. An alarm generation unit 32 and a numerical guidance unit 34 are connected to the potential amount and undetermination unit 30, and the alarm generation unit 32 is connected to the metal pipe in accordance with a signal applied from the potential amount and determination unit 30. It is a device that displays the defective position in (10) on the pipe network. The numerical guidance section 34 displays a signal corresponding to the occurrence of an abnormal state in the metal pipe 10 of the selected section of the metal pipe 10 shown in the pipe network according to a signal applied from the potential amount / non-determination unit 30. Is a device for quickly grasping the abnormal position of the metal pipe 10 indicating the abnormal state to prevent accidents in advance. The potential amount / non-determination unit 30 compares the potential difference value, which is a signal applied from the potential display unit 28, and recognizes that an external power supply is introduced when the change in time is not constant when the potential difference value is large. If the change in the value over time is constant, the subway is recognized as entering the vicinity of the pipe.

In the conventional method for measuring the presence or absence of potential value for the metal pipe shown in FIG. 2, when the potential value of the current state for the metal pipe is larger than the reference value, it is recognized as an unconditionally good condition, and therefore, when the potential value is larger than the reference value. As the anticorrosive current flows too much on the metal pipe, the tolerant potential of the metal pipe is lowered, so that the anti-corrosive state is formed. When the metal pipe is in the anti-corrosive state, hydrogen bubbles and alkali generated on the surface of the metal pipe are generated. As a result of promoting the aging of the coating, there is a problem that causes a large accident when the corroded metal pipe is broken.

The present invention has been made in view of the above-described problems, and an object of the present invention is to manage a remote monitoring system using electric potentials to facilitate the management method for coated metal piping such as city gas piping and oil pipeline. By managing the real-time metal pipes directly, the manager can easily determine the occurrence of abnormal conditions such as corrosion or damage due to the overheating of the pipes, and the self-learning causes of the abnormal conditions of the metal pipes. The present invention provides a method for judging an abnormality in piping potential by self-learning that can be easily detected through tracking to prevent large-scale accidents caused by damage to metal pipes.

In addition, another object of the present invention is to provide a pipe potential abnormality determination apparatus by self-learning suitable for performing the pipe potential abnormality determination method by the self-learning.

In order to achieve the above object, the present invention, the first step of determining whether the signal corresponding to the potential difference value applied from the selected converter by sequentially selecting a plurality of converters connected to the metal pipe buried in the ground ; A second step of determining whether a signal corresponding to a potential difference value has been applied from the converter selected in the first step and repeating again if the signal is not applied; A third step of determining whether the potential difference value corresponds to a stable set value region (between a and b) of the potential difference value in the database in the second step; A fourth step of recognizing a steady state if the applied potential difference value of the third step corresponds to a stable set value region of the database, and repeatedly executing the first step of continuously selecting a next converter; A fifth step of counting time when the potential difference value applied from the converter in the third step does not correspond to a stable set value region of the database; A sixth step of determining whether the count value obtained by counting the time in the fifth step is greater than one second; A seventh step of repeating the first step if the count value in the sixth step is less than 1, and performing self-learning if the count value is greater than 1 second; An eighth step of applying the alarm signal to the alarm generation unit as a search result in the database of the occurrence status of the potential reduction area and the over-prediction area following the seventh step; And when the abnormal condition occurs after the seventh or eighth step, it displays the corresponding situation and quickly finds the position of the abnormality of the metal pipe, and detects the position of the most likely part where the current situation can occur in the situation display unit Provided is a pipe potential abnormality determination method by self-learning including a ninth step.

In addition, the present invention, in order to achieve the above object, the metal pipe buried in the ground to supply the gas, magnesium anode connected to the metal pipe is installed to prevent corrosion of the metal pipe, ground embedded in the ground A converter that calculates a potential difference value between an electrode, a metal pipe, and a reference electrode, and converts the potential difference value into a constant signal; a remote terminal device connected to the converter and temporarily storing a signal applied from the converter and applying the signal; Modem which modulates the signal applied from the remote terminal device and converts it into communication protocol so that the signal connected to the remote device and applied from the remote terminal device is transmitted smoothly through the dedicated communication line. A signal converter which demodulates a communication protocol as a signal and converts the signal into a predetermined signal; A pipe potential abnormality judging device for a metal pipe, comprising: a potential display unit that is connected to a signal conversion unit and converts a signal applied from the signal conversion unit into a potential difference value calculated by the converter. In order to prevent the risk of corrosion, abnormality is observed in the specific potential flow of a specific region while always updating the trend of the specific potential value of a specific region by self-learning in the remote monitoring device of the pipe type potential value by wire or wireless. Self-learning unit that is installed to determine the situation, the alarm quickly and accurately when the alarm occurs; An alarm generation unit connected to the self-learning unit and generating an alarm signal to store all information for each hour of the current situation and to notify the remote monitoring manager of an emergency situation; And detecting the location of the most potent part connected to the self-learning unit and the current situation can occur, and when the abnormal condition occurs, the remote monitoring manager quickly identifies the location of the abnormality of the metal pipe and accidents. Provided is a pipe potential abnormality determination device by self-learning, characterized in that it comprises a status display unit installed to prevent occurrence in advance.

1 is a view schematically showing a device for detecting a conventional pipe state.

Figure 2 is another schematic view showing a device for detecting a conventional pipe state.

3 is a view schematically showing an apparatus for detecting a state of a pipe according to the present invention.

4 is a flowchart illustrating a method of detecting a state of a pipe according to the present invention.

5 is a flow chart of the self-learning unit of the device for detecting the state of the pipe according to the present invention.

Figure 6 is another flow chart of the self-learning unit of the device for detecting the state of the pipe according to the present invention.

7 is a graph showing a state change of the potential difference applied from the pipe according to the present invention.

<Explanation of symbols for main parts of drawing>

40: metal piping 42: magnesium anode

44: reference electrode 48: converter

50: Remote Terminal Unit (RTU) 52: Modem

54: signal conversion section 58: potential display section

60: self-learning unit 62: alarm generating unit

64: status display

Referring to the accompanying drawings of the present invention will be described in detail a preferred embodiment and working state of the present invention.

3 is a view schematically showing a device for detecting a state of a pipe according to the present invention, the method of measuring the method potential value from the metal pipe 40 to the potential display unit 58 and the process of applying a signal are the same as in the related art. Detailed description is omitted.

However, a magnetic learning unit 60 is connected to the potential display unit 58, and the magnetic learning unit 60 is currently generated in the magnetic learning unit 60 when an abnormality occurs with respect to the metal pipe 40. All information for each hour of the situation is stored, and to alert the remote surveillance administrator to the alarm signal to generate an alarm signal to the alarm generator 62 associated with the self-learning unit 60. In addition, the self-learning unit 60 is installed in the situation display unit 64 to detect the position of the most potent part that can cause the current situation to determine the current situation immediately. As described above, when an abnormal condition occurs, an alarm is generated and at the same time, a situation corresponding to the place where the alarm is generated is displayed so that the remote surveillance manager can quickly grasp the location of the abnormal occurrence of the metal pipe 40. You will be able to respond quickly and appropriately.

4 is a flowchart illustrating a method for detecting a state of a pipe according to the present invention, FIG. 5 is a flowchart of a self-learning unit in a device for detecting a state of a pipe according to the present invention, and FIG. 6 is a state of a pipe according to the present invention. Another device for detecting the magnetic flow is another flow chart, and Figure 7 is a graph showing the state change of the potential difference applied from the pipe according to the present invention.

As can be seen in Figure 4, the first step (S10) refers to the selection step of the converter 48, the first step in order to continue the plurality of converters 48 connected to the metal pipe 40 in order By selecting, the signal corresponding to the potential difference value applied from the selected converter 48 is received, and it is determined whether the signal is abnormal. That is, in the first step, after determining the signal of the potential difference value for one converter and if there is no error, the signal of the potential difference value for the converters connected to the metal pipe is determined by selecting another converter to determine the signal of the potential difference value. will be.

In a second step S20, it is determined whether a signal corresponding to a potential difference value is applied from the converter 48 selected in the first step. That is, in the second step, it is determined whether a signal corresponding to the potential difference value applied from the selected converter 48 is applied. If not, the second step is repeated again.

In the next third step S30, it is determined whether the potential difference value applied in the second step corresponds to a stable set value region (between a and b in FIG. 7) of the potential difference value in the database. In particular, in the third step, if the potential difference value applied from the converter 48 corresponds to the stable set value area of the database, the first step is repeated to select the next converter 48. .

In addition, in the fourth step performed after the third step, if the potential difference value applied from the converter 48 of the third step corresponds to the stable set point region of the database, it is recognized as a normal state. By repeating the first step by selecting the converter 48, the third step is repeated.

In the fifth step S40 performed after the fourth step, if the potential difference value applied from the converter 48 does not correspond to the stable set value region of the database, the time is counted. In the sixth step S50, In step 5, it is determined whether the count value counting time is greater than 1 second. That is, in the sixth step, if the count value is less than 1, the first step is repeatedly executed. If the count value is greater than 1 second, the self-learning unit of the seventh step S60 executes self-learning.

In the eighth step S70 according to the self-learning result of the seventh step, when an abnormal state occurs, an alarm signal is applied to the alarm generator 62 to generate an alarm sound to the outside. That is, in the eighth step, when the occurrence state of the potential reduction area and the over-prevention area corresponds to the situation based on the search result in the database, an alarm signal is applied to the alarm generation unit 62 to generate an alarm.

In the next ninth step S80, the position of the corresponding converter 48 is detected and the most prominent position is displayed on the situation display unit 64 so that the monitor can quickly detect the state of the pipe and prevent the occurrence of an accident in advance. do.

In the self-learning of FIG. 5 and FIG. 6, the seventh step S60 is described with reference to flowcharts of situation analysis and database update according to potential value change, and a graph showing potential value state change with time of FIG. 7. The self-learning section of the following will be described in detail.

Based on the signal received in the sixth step S50 of FIG. 4, the self-learning unit in the seventh step S60 performs the following steps. As shown in FIG. 5, in the tenth step S100, it is determined whether the potential difference value is smaller than a, and in the eleventh step S110 after the tenth step, the potential value representing the peak is calculated by calculating the change amount of the potential difference value with respect to time. Calculate how steep or gentle the slope of is. The potential value is determined and stored in the self-learning unit mainly based on the slope and generation period of the anticorrosive potential peak with respect to time. That is, the eleventh step is used as a subject of judgment and storage in the database search embedded in the self-learning unit 60 in the fifteenth step S150 or in the database update in the seventeenth step S170. The tenth step (S100), the eleventh step (S110) is a case where the potential difference value is smaller than a in Fig. 7 and the other method, such as whether the corrosion potential is reduced due to damage to the metal pipe by other construction, or underground water pipes and the like. It is a step for determining various related situations, such as whether the corrosion resistance has been reduced due to metal pipe contact or the corrosion potential has been reduced due to the consumption of magnesium in the magnesium anode 42 embedded in the ground.

If the potential value is not less than a in the tenth step, a twelfth step is performed. In the twelfth step S120, it is determined whether the potential value corresponds to a value between b and b2. That is, in the twelfth step, if the potential value is a value between b and b2, the change period of the potential value is calculated in the thirteenth step (S130), and if the potential value is not a value between b and b2, the fourteenth step In step S140, it is recognized as an error or data error of the data. In the process from step 12 to step 14, whether the method potential value is an over method state exceeding b of FIG. 7, is current flowing from an external power source, or current leakage into the ground due to the operation of the subway. To judge.

Based on the results of the eleventh step (S110), the thirteenth step (S130), and the fourteenth step (S140), in the fifteenth step (S150), the potential value of the database that is set based on the initially set database is newly added. The potential difference values shown are compared with each other and searched.

In the sixteenth step S160 following the fifteenth step, if the search result in the fifteenth step is the same as the conventionally generated situation, the eighth step S70 of FIG. 4 is immediately performed. Next, if a situation in which the search result is not the same as the conventionally generated situation occurs, the eighth step S70 is executed immediately after updating the existing database by executing the seventeenth step S170. That is, the databases used in steps 16 to 17 are data related to the pipe system potential value for preventing corrosion of the pipe. That is, as described above, the data related to the pipe system potential value means data related to external power inflow, leakage current caused by subway, etc., which is an over-provisional situation indicating a potential value rise, and a third-party construction representing a situation where the potential value falls. Data related to piping damage, contact of other facilities, and consumption of magnesium.

FIG. 6 is a flowchart of a function for resetting the reference database in the course of performing self-learning. As shown in FIG. 6, in step 18, the date is checked by a timer inside the self-learning unit. In the nineteenth step S210 executed after the eighteenth step, a step of storing data performed in the eighteenth step is described.

In the twentieth step S220 performed after the nineteenth step, if the 30 days have not elapsed since the reference database was reset, the program is returned to the eighteenth step, and if the 30 days have elapsed after the reset, the next step is performed. The 21st step (S230) is performed to calculate the reference value by analyzing the relevant data for each time, period, and potential stored in the database.

In the twenty-second step S240 performed after the twenty-first step, a new database is changed based on the calculation result of the analyzed reference value in the twenty-first step so that the change in the method potential value generated in a certain region is continued. And learn about trends in the region-specific modalities. Therefore, based on the above data, when a specific situation occurs, the remote monitor will be notified of the result in a quick and accurate judgment, so that the effective mode potential value monitoring can be performed.

Looking at the effects of the present invention by the above-described configuration and operation are as follows.

According to the present invention, a converter connected to a metal pipe such as a gas or an oil pipe and a reference electrode are respectively provided at intervals of a predetermined distance, and each of the sections to which the converter is connected is provided with an insulator between sections to exclude interference with each other. It is installed to insulate each other, and the potential difference value is obtained from the potential value of the reference electrode applied to the converter and the potential value applied from the pipe, and transferred to the modem of the remote monitoring apparatus through the remote terminal device. The modem of the remote monitoring apparatus is applied to the signal conversion section and the potential difference value applied to the signal conversion section is applied to the potential display section and the self-learning section, and the self-learning section determines the potential difference value. 7 b), since it is concentrated and monitored, hydrogen bubbles and alkali generated on the surface of the metal pipes by the over-producing method may cause corrosion by accelerating aging of the coating, thereby causing corrosion. The risk can be prevented in advance. Therefore, according to the result of the self-learning unit, an alarm sound is generated for each dangerous situation, and at the same time, the monitor monitors and detects the state of the metal pipe quickly by displaying the position where the abnormal condition occurs so that the remote monitor can know. The state can be known at all times and the effect of preventing oversized accidents can be prevented.

Claims (6)

A first step of determining whether or not a signal corresponding to a potential difference value applied from a selected converter is sequentially selected by sequentially selecting a plurality of converters connected to a metal pipe buried in the ground; A second step of determining whether a signal corresponding to a potential difference value has been applied from the converter selected in the first step and repeating again if the signal is not applied; A third step of determining whether the potential difference value corresponds to a stable set value region (between a and b) of the potential difference value in the database in the second step; A fourth step of recognizing a steady state if the applied potential difference value of the third step corresponds to a stable set value region of the database, and repeatedly executing the first step of continuously selecting a next converter; A fifth step of counting time when the potential difference value applied from the converter in the third step does not correspond to a stable set value region of the database; A sixth step of determining whether the count value obtained by counting the time in the fifth step is greater than one second; A seventh step of repeating the first step if the count value in the sixth step is less than 1, and performing self-learning if the count value is greater than 1 second; An eighth step of applying the alarm signal to the alarm generation unit as a search result in the database of the occurrence status of the potential reduction area and the over-prediction area following the seventh step; And when the abnormal condition occurs after the seventh or eighth step, it displays the corresponding situation and quickly finds the position of the abnormality of the metal pipe, and detects the position of the most likely part where the current situation can occur in the situation display unit Method for determining the pipe potential abnormality by self-learning comprising a ninth step. The method of claim 1, wherein the seventh step of executing self-learning comprises: a tenth step of determining whether a potential difference value is less than a from an input signal; An eleventh step of calculating, after the tenth step, an amount of change in the potential difference value with respect to time to calculate whether the slope of the potential value representing the peak is abrupt or gentle; A twelfth step of determining whether the potential value is between b and b2 when the potential value is greater than b after the execution of the fourth step; Calculating a change period of the potential value when the potential value of the twelfth step is a value between b and b2; A fourteenth step of recognizing a data error or an equipment error when the potential value of the twelfth step is not a value between b and b2; A fifteenth step of searching for the results of the eleventh, thirteenth and fourteenth stages based on the database embedded in the seventh stage of the self-learning unit 60; A sixteenth step of shifting to the eighth step when the same situation occurs depending on whether or not the search result of the fifteenth step is the same as before; And a seventeenth step of updating data related to a pipe system potential value of an existing database if the search result of the sixteenth step does not occur in the same situation as before. The method of claim 1, wherein the seventh step (S60) of executing the self-learning comprises: an eighteenth step of checking a date by a timer inside the self-learning unit; A nineteenth step of storing real-time data after the eighteenth step; A step 20 of returning to step 18 if 30 days have not elapsed since the reference database was reset following step 19; A twenty-first step of calculating a reference value by analyzing relevant data for each time, period, and potential stored in the database if 30 days have passed since the reference database was reset following the step 20; In step 22, the method changes the new database based on the calculation result of the reference value analyzed in step 21 and continuously updates the change in the method potential value in a certain area to execute the learning about the trend of the method method unique to the area. Pipe dislocation abnormality determination method by self-learning comprising a. The magnetic learning unit (60) according to claim 1, wherein the magnetic learning unit (60) has a function of detecting a situation in an over-eating region of more than a specific potential value when the potential difference value exceeds b, and informing a situation of the situation. Determination of piping potential abnormality by learning. The method according to claim 1, wherein the self-learning unit (60) calculates the period of change of the potential difference between the potential reduction region and the over-prevention region in terms of time and change amount, and calculates the occurrence of the potential reduction region and the over-prevention region in the database. Search and store and analyze potential state as time, period, and potential data, and reset the analysis result for 30 days based on time, period, and potential data for the potential state. Determination of piping potential abnormality by self-learning. Calculate the potential difference between the metal pipe embedded in the ground to supply gas, the magnesium anode connected to the metal pipe and installed to prevent corrosion of the metal pipe, the reference electrode embedded in the ground, the metal pipe and the reference electrode A converter for converting a potential difference value into a constant signal, a remote terminal device connected to the converter and storing the signal applied from the converter for a while, and a signal applied to the remote terminal device and applied from the remote terminal device Modem which modulates the signal applied from the remote terminal device into a communication protocol so as to be transmitted smoothly through a dedicated communication line, and signal conversion that demodulates and converts the communication protocol, which is a constant signal connected to the modem and applied from the modem, to a predetermined signal. And is connected to and applied from the signal converter. In the pipe potential abnormality judgment device of the metal pipe which consists of a potential display part which converts arc into the potential difference value computed by the converter, it connects next to the potential display part, and is wired in order to prevent the danger by the corrosion of the metal pipe 40. Or, the remote monitoring device of the pipe type potential value using wireless always updates the trend of the method potential value in a specific area by self-learning, and judges and alarms the situation quickly and accurately when an abnormal situation occurs in the local method potential value flow. Self-learning unit 60 is installed to inform the function; An alarm generator 62 which is connected to the self-learning unit and generates an alarm signal to store all information for each hour of a situation currently occurring and to inform the remote monitoring manager of an emergency situation; And detecting the location of the most influential part connected to the self-learning part and the current situation may occur, and displaying a situation corresponding to an abnormal condition so that the remote surveillance manager quickly identifies the location of the abnormal occurrence of the metal pipe 40. Apparatus for determining the pipe potential abnormality by self-learning, characterized in that it consists of a situation display unit 64 is installed to grasp and prevent the occurrence of an accident.