Remote monitoring method and device for intelligent pipeline cathode tester

Abstract

The invention belongs to the technical field of pipeline cathode protection, and discloses a remote monitoring method and device for intelligent pipeline cathode testers, and the method comprises the steps: obtaining detection data generated when N cathode testers respectively detect N pipe sections of an intelligent pipeline; abnormal data are screened out from the N pieces of detection data, and an abnormal tester and an abnormal pipe section are locked according to the abnormal data; determining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule; taking detection data generated by detecting the calibration pipe section by the calibration tester as first calibration data, and acquiring second calibration data generated by detecting the calibration tester by the abnormal tester; and marking an abnormal monitoring result of the abnormal tester based on the first calibration data and the second calibration data. In conclusion, the method can accurately judge the generation reason of the abnormal data, and further complete the effective evaluation of the measurement capability and the measurement precision of the cathode tester.

Description

Technical Field

[0001] The invention belongs to the technical field of pipeline cathode protection, and in particular relates to a remote monitoring method and device for an intelligent pipeline cathode tester. Background Art

[0002] Metal pipes are prone to corrosion in environments such as buried or submerged in water, so they need to be treated for corrosion. The traditional anti-corrosion method is to apply an anti-corrosion coating on the surface of the pipe. However, due to problems such as uneven coating, the anti-corrosion coating will have internal pores, and the acid and alkali ions in the soil or water will penetrate the anti-corrosion coating through the internal pores, which will still cause corrosion on the surface of the pipe. In addition, a cathodic protection technology is also used in the prior art to protect the pipe from corrosion.

[0003] Cathodic protection technology is a type of electrochemical protection technology. Its principle is to apply an external current to the surface of the corroded metal structure, so that the protected structure constitutes a cathode and inhibits the electron migration when metal corrosion occurs, thereby avoiding or reducing metal corrosion. In the process of cathodic protection, the level of the cathode potential parameters is of great significance to the actual protection effect. If the cathode potential is too low, it is not enough to protect the pipeline. If the cathode potential is too high, it will have a negative impact. Therefore, in order to ensure the cathodic protection effect of the pipeline, it is necessary to monitor the cathode potential parameters and other data.

[0004] In the prior art, a cathode tester with wireless communication function is usually used to detect cathode potential parameters. However, in the actual detection process, in order to ensure the accuracy of the detection data, the measurement capability and measurement accuracy of the cathode tester itself should also be evaluated. If multiple cathode testers are evaluated offline manually, there are defects such as large workload and low efficiency. Therefore, it is necessary to develop a remote monitoring system to remotely monitor and evaluate the cathode tester. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, the purpose of the present invention is to provide a remote monitoring method and device for an intelligent pipeline cathode tester.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A remote monitoring method for an intelligent pipeline cathode tester, comprising:

[0008] Acquire detection data generated by N cathode testers for detecting N pipe sections of the intelligent pipeline respectively;

[0009] Screening out abnormal data from the N detection data, and locking abnormal testers and abnormal pipe sections according to the abnormal data;

[0010] Determining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule;

[0011] The detection data generated by the calibration tester detecting the calibration pipe section is used as the first calibration data, and the second calibration data generated by the abnormal tester detecting the calibration tester is obtained;

[0012] Abnormal monitoring results of the abnormal tester are marked based on the first calibration data and the second calibration data.

[0013] Preferably, the step of screening out abnormal data from the N detection data comprises:

[0014] Calculate the target difference between the target detection data and the expected data;

[0015] Determine whether the target difference exceeds a safety threshold, and if so, mark the target detection data as abnormal data.

[0016] Preferably, the calibration rules include:

[0017] The abnormal tester and the calibration tester are adjacent cathode testers, or the calibration tester is a non-abnormal tester that is closest to the abnormal tester.

[0018] The calibration pipe section is a pipe section corresponding to the calibration tester.

[0019] Preferably, the detection data includes detection current data and detection potential data, and the detection current data and detection potential data of the first calibration data are recorded as first current data and first potential data respectively; the expected data includes expected current data and expected potential data; and the second calibration data includes second current data flowing through the calibration tester.

[0020] Preferably, the calculation of the target difference between the target detection data and the expected data includes:

[0021] Calculate the target current difference between the target detection current data and the expected current data;

[0022] Calculate the target potential difference between the target detection potential data and the expected potential data;

[0023] The target difference is taken as the average of the target current difference and the target potential difference.

[0024] Preferably, the marking of the abnormal monitoring result of the abnormal tester based on the first calibration data and the second calibration data includes:

[0025] calculating a calibration difference between the first current data and the second current data,

[0026] Determine whether the calibration difference is within the detection error range; if yes, mark the abnormal monitoring result of the abnormal tester as a protection abnormality; if no, mark the abnormal monitoring result of the abnormal tester as a detection abnormality.

[0027] Preferably, the step of obtaining the detection error range includes:

[0028] Obtaining a calibration distance between the abnormal tester and the calibration tester, and obtaining an error coefficient according to the calibration distance;

[0029] A basic error range is obtained, and a detection error range is calculated based on the basic error range and the error coefficient.

[0030] Preferably, the detection anomaly includes a single detection anomaly and a comprehensive detection anomaly;

[0031] Obtaining an abnormal difference between the abnormal data and the expected data, and calculating a final error between the abnormal difference and the calibration difference;

[0032] Determine whether the final error is within the comprehensive error range; if yes, mark the abnormal monitoring result of the abnormal tester as a single detection abnormality; if no, mark the abnormal monitoring result of the abnormal tester as a comprehensive detection abnormality.

[0033] Preferably, the remote monitoring method of the intelligent pipeline cathode tester further comprises executing an abnormal alarm according to the abnormal monitoring result, wherein the abnormal alarm is used to prompt that the abnormal tester has an abnormality.

[0034] As a general inventive concept, the present invention also provides the following technical solutions:

[0035] An intelligent pipeline cathode tester remote monitoring device, comprising:

[0036] The first data acquisition module is used to collect the detection data generated by N cathode testers respectively detecting N pipe sections of the intelligent pipeline;

[0037] A first screening module, used for screening out abnormal data from the N detection data;

[0038] A matching module, used for obtaining an abnormal tester and an abnormal pipe section according to the abnormal data, and for obtaining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule;

[0039] A second screening module is used to screen out the detection data generated by the calibration tester detecting the calibration pipe section from the N detection data as the first calibration data;

[0040] A second data acquisition module, used for acquiring second calibration data generated by the abnormal tester detecting the calibration tester;

[0041] A data analysis module obtains an abnormality monitoring result of the abnormality tester by analyzing the first calibration data and the second calibration data.

[0042] As a general inventive concept, the present invention also provides the following technical solutions:

[0043] An electronic device includes a memory, a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps of the above-disclosed intelligent pipeline cathode tester remote monitoring method are completed.

[0044] As a general inventive concept, the present invention also provides the following technical solutions:

[0045] A computer-readable storage medium is used to store computer instructions. When the computer instructions are executed, the steps of the above-disclosed intelligent pipeline cathode tester remote monitoring method are completed.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The intelligent pipeline cathode tester remote monitoring method of the present invention firstly judges the detection data of each cathode tester, and when the detection data is abnormal, the abnormal tester and the abnormal pipe section corresponding to the abnormal data are screened out; then, the calibration tester and the calibration pipe section corresponding to the abnormal tester and the abnormal pipe section are determined based on the matching rule; finally, the abnormal monitoring result about the abnormal tester is determined by analyzing the first calibration data generated by the calibration tester detecting the calibration pipe section and the second calibration data generated by the abnormal tester detecting the calibration tester, thereby accurately determining the cause of the abnormal data, and further completing the effective evaluation of the measurement capability and measurement accuracy of the cathode tester.

[0048] In addition, corresponding abnormal alarms are executed according to the abnormal monitoring results to prompt the abnormal tester to have abnormalities, thereby facilitating the staff to complete the maintenance of the intelligent pipeline and / or cathode tester in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural diagram of the intelligent pipeline cathodic protection system of the present invention;

[0050] Figure 2 It is a flow chart of the remote monitoring method of the intelligent pipeline cathode tester of the present invention;

[0051] Figure 3 It is a structural diagram of the remote monitoring device of the intelligent pipeline cathode tester of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Example 1

[0054] A remote monitoring method for an intelligent pipeline cathode tester, comprising:

[0055] S1. Obtaining test data

[0056] like Figure 1 As shown, the intelligent pipeline cathodic protection system includes N pipe sections constituting the intelligent pipeline, and a cathode tester for detecting the current data and potential data of the pipe section is provided on one side of each pipe section. Based on this: this step specifically obtains the detection data generated by the N cathode testers for detecting the N pipe sections of the intelligent pipeline respectively;

[0057] Each of the detection data includes detection current data and detection potential data.

[0058] S2. Filter out abnormal data from the N detection data;

[0059] The specific screening steps include:

[0060] (1) acquiring expected data, wherein the expected data includes expected current data and expected potential data;

[0061] (2) calculating a target current difference between the target detection current data and the expected current data; calculating a target potential difference between the target detection potential data and the expected potential data; and taking the average of the target current difference and the target potential difference as the target difference;

[0062] (3) Determine whether the target difference exceeds a safety threshold, and if so, mark the target detection data as abnormal data.

[0063] S3. Lock the abnormal tester and abnormal pipe section according to the abnormal data;

[0064] S4. Determine the calibration tester and calibration pipe section associated with the abnormal tester and abnormal pipe section according to the calibration rules;

[0065] In this step, the calibration rules include:

[0066] The abnormal tester and the calibration tester are adjacent cathode testers;

[0067] The calibration pipe section is a pipe section corresponding to the calibration tester.

[0068] In this embodiment, the calibration rule is further explained:

[0069] ①Assumption Figure 1 Cathode testers B and C are both abnormal testers, and cathode testers A and D are both non-abnormal testers. Taking the monitoring of abnormal tester B as an example, the adjacent cathode testers are abnormal tester C and non-abnormal tester A. At this time, the priority of non-abnormal tester A is higher than that of abnormal tester C; if one cathode tester is selected as the calibration tester, non-abnormal tester A is given priority; if two cathode testers are selected as the calibration testers, non-abnormal tester A and abnormal tester C are selected.

[0070] ②Assumption Figure 1 Cathode testers A, B and C are all abnormal testers. Taking the monitoring of abnormal tester B as an example, the cathode testers adjacent to it are abnormal testers A and C. At this time, if one cathode tester is selected as the calibration tester, abnormal tester A or C is randomly selected; if two cathode testers are selected as the calibration testers, abnormal testers A and C are selected.

[0071] S5. The detection data generated by the calibration tester on the calibration pipe section is used as the first calibration data, and the second calibration data generated by the abnormal tester on the calibration tester is obtained;

[0072] In this step, the detection current data and the detection potential data of the first calibration data are recorded as first current data and first potential data respectively. The second calibration data includes second current data flowing through the calibration tester.

[0073] S6. Marking the abnormal monitoring result of the abnormal tester based on the first calibration data and the second calibration data;

[0074] In this step:

[0075] (1) calculating a calibration difference between the first current data and the second current data,

[0076] (2) obtaining a calibration distance between the abnormal tester and the calibration tester, and obtaining an error coefficient according to the calibration distance; in this embodiment, according to the calibration rule, it can be known that the abnormal tester is adjacent to the calibration tester, so it can be known that the calibration distance is L, and the corresponding error coefficient is 1;

[0077] (3) Obtaining a basic error range [k, K], and calculating a detection error range [k, 1*K] based on the basic error range and the error coefficient;

[0078] (4) determining whether the calibration difference is within the detection error range; if yes, marking the abnormal monitoring result of the abnormal tester as a protection abnormality; if no, proceeding to step (5);

[0079] (5) Recording that the abnormal data includes abnormal detection current data and abnormal detection potential data, calculating the abnormal current difference between the abnormal detection current data and the expected current data; calculating the abnormal potential difference between the abnormal detection potential data and the expected potential data; and taking the average of the abnormal current difference and the abnormal potential difference as the abnormal difference;

[0080] (6) calculating the final error between the abnormal difference and the calibration difference;

[0081] (7) Determine whether the final error is within the comprehensive error range; if yes, mark the abnormal monitoring result of the abnormal tester as a single detection abnormality; if no, mark the abnormal monitoring result of the abnormal tester as a comprehensive detection abnormality.

[0082] S7. Execute an abnormal alarm according to the abnormal monitoring result, wherein the abnormal alarm is used to prompt that the abnormal tester has an abnormality;

[0083] In this step, the abnormal alarm includes a protection abnormal alarm and a detection abnormal alarm. During the specific execution, different alarms can be distinguished by sound volume, light color, etc.

[0084] Example 2

[0085] A remote monitoring method for an intelligent pipeline cathode tester, comprising:

[0086] S1. Obtaining test data

[0087] like Figure 1 As shown, the intelligent pipeline cathodic protection system includes N pipe sections constituting the intelligent pipeline, and a cathode tester for detecting the current data and potential data of the pipe section is provided on one side of each pipe section. Based on this: this step specifically obtains the detection data generated by the N cathode testers for detecting the N pipe sections of the intelligent pipeline respectively;

[0088] Each of the detection data includes detection current data and detection potential data.

[0089] S2. Filter out abnormal data from the N detection data;

[0090] The specific screening steps include:

[0091] (1) acquiring expected data, wherein the expected data includes expected current data and expected potential data;

[0092] (2) calculating a target current difference between the target detection current data and the expected current data; calculating a target potential difference between the target detection potential data and the expected potential data; and taking the average of the target current difference and the target potential difference as the target difference;

[0093] (3) Determine whether the target difference exceeds a safety threshold, and if so, mark the target detection data as abnormal data.

[0094] S3. Lock the abnormal tester and abnormal pipe section according to the abnormal data;

[0095] S4. Determine the calibration tester and calibration pipe section associated with the abnormal tester and abnormal pipe section according to the calibration rules;

[0096] In this step, the calibration rules include:

[0097] The calibration tester is a non-abnormal tester that is closest to the abnormal tester;

[0098] The calibration pipe section is a pipe section corresponding to the calibration tester.

[0099] In this embodiment, the calibration rule is further explained:

[0100] ①Assumption Figure 1 The cathode testers B and C in the figure are both abnormal testers, and the cathode testers A and D are both non-abnormal testers; taking the monitoring abnormal tester B as an example, the non-abnormal tester A closest to it is selected as the calibration tester; taking the monitoring abnormal tester C as an example, the non-abnormal tester D closest to it is selected as the calibration tester;

[0101] ②Assumption Figure 1 The cathode testers A, B and C in the figure are all abnormal testers. Taking the monitoring abnormal tester A as an example, the non-abnormal tester D closest to it is selected as the calibration tester.

[0102] S5. Using the detection data generated by the calibration tester on the calibration pipe section as the first calibration data, and obtaining the second calibration data generated by the abnormal tester on the calibration tester;

[0103] In this step, the detection current data and the detection potential data of the first calibration data are recorded as first current data and first potential data respectively. The second calibration data includes second current data flowing through the calibration tester.

[0104] S6. Marking the abnormal monitoring result of the abnormal tester based on the first calibration data and the second calibration data;

[0105] In this step:

[0106] (1) calculating a calibration difference between the first current data and the second current data,

[0107] (2) Obtaining the calibration distance between the abnormal tester and the calibration tester, and obtaining the error coefficient according to the calibration distance; for example: the calibration distance between cathode testers A and B is L, and the corresponding error coefficient is 1. The calibration distance between cathode testers A and D is 3L, and the corresponding error coefficient is 3;

[0108] (3) Obtaining a basic error range [k, K], and calculating a detection error range [k, n*K] based on the basic error range and the error coefficient, where n represents the error coefficient;

[0109] (4) determining whether the calibration difference is within the detection error range; if yes, marking the abnormal monitoring result of the abnormal tester as a protection abnormality; if no, proceeding to step (5);

[0110] (5) Recording that the abnormal data includes abnormal detection current data and abnormal detection potential data, calculating the abnormal current difference between the abnormal detection current data and the expected current data; calculating the abnormal potential difference between the abnormal detection potential data and the expected potential data; and taking the average of the abnormal current difference and the abnormal potential difference as the abnormal difference;

[0111] (6) calculating the final error between the abnormal difference and the calibration difference;

[0112] (7) Determine whether the final error is within the comprehensive error range; if yes, mark the abnormal monitoring result of the abnormal tester as a single detection abnormality; if no, mark the abnormal monitoring result of the abnormal tester as a comprehensive detection abnormality.

[0113] S7. Execute an abnormal alarm according to the abnormal monitoring result, wherein the abnormal alarm is used to prompt that the abnormal tester has an abnormality;

[0114] In this step, the abnormal alarm includes a protection abnormal alarm and a detection abnormal alarm. During the specific execution, different alarms can be distinguished by sound volume, light color, etc.

[0115] Example 3

[0116] An intelligent pipeline cathode tester remote monitoring device, comprising:

[0117] The first data acquisition module is used to collect the detection data generated by N cathode testers respectively detecting N pipe sections of the intelligent pipeline;

[0118] A first screening module, used for screening out abnormal data from the N detection data;

[0119] A matching module, used for obtaining an abnormal tester and an abnormal pipe section according to the abnormal data, and for obtaining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule;

[0120] A second screening module is used to screen out the detection data generated by the calibration tester detecting the calibration pipe section from the N detection data as the first calibration data;

[0121] A second data acquisition module, used for acquiring second calibration data generated by the abnormal tester detecting the calibration tester;

[0122] A data analysis module obtains an abnormality monitoring result of the abnormality tester by analyzing the first calibration data and the second calibration data.

[0123] The device provided in this embodiment is specifically executed according to the method steps of the above-mentioned embodiment 1 or embodiment 2.

[0124] Example 4

[0125] An electronic device includes a memory, a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps of a remote monitoring method for an intelligent pipeline cathode tester disclosed in the above-mentioned embodiment 1 or embodiment 2 are completed.

[0126] Example 5

[0127] A computer-readable storage medium is used to store computer instructions. When the computer instructions are executed, the steps of the remote monitoring method of an intelligent pipeline cathode tester disclosed in the above-mentioned embodiment 1 or embodiment 2 are completed.

[0128] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, embodiments of the present invention may take the form of complete hardware embodiments, complete software embodiments, or embodiments combining software and hardware aspects. Moreover, embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable vehicles (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0129] The embodiments of the present invention are described with reference to flowcharts and / or block diagrams of methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0130] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable terminal device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0132] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. "" and / or "" indicate that either one of the two can be selected, or both can be selected. Moreover, the terms "" include "" "" contain "" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "" include a..."" does not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention.

[0134] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring method for an intelligent pipeline cathode tester, characterized in that: include: Acquire detection data generated by N cathode testers for detecting N pipe sections of the intelligent pipeline respectively; Screening out abnormal data from the N detection data, and locking abnormal testers and abnormal pipe sections according to the abnormal data; Determining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule; The detection data generated by the calibration tester detecting the calibration pipe section is used as the first calibration data, and the second calibration data generated by the abnormal tester detecting the calibration tester is obtained; Abnormal monitoring results of the abnormal tester are marked based on the first calibration data and the second calibration data.

2. The remote monitoring method of the intelligent pipeline cathode tester according to claim 1 is characterized in that: The step of screening out abnormal data from the N detection data includes: Calculate the target difference between the target detection data and the expected data; Determine whether the target difference exceeds a safety threshold, and if so, mark the target detection data as abnormal data.

3. The remote monitoring method of the intelligent pipeline cathode tester according to claim 2 is characterized in that: The calibration rules include: The abnormal tester and the calibration tester are adjacent cathode testers, or the calibration tester is a non-abnormal tester that is closest to the abnormal tester. The calibration pipe section is a pipe section corresponding to the calibration tester.

4. The remote monitoring method of the intelligent pipeline cathode tester according to claim 3 is characterized in that: The detection data includes detection current data and detection potential data, and the detection current data and detection potential data of the first calibration data are respectively first current data and first potential data; the expected data includes expected current data and expected potential data; The second calibration data includes second current data flowing through the calibration tester.

5. The remote monitoring method of the intelligent pipeline cathode tester according to claim 4 is characterized in that: The calculation of the target difference between the target detection data and the expected data includes: Calculate the target current difference between the target detection current data and the expected current data; Calculate the target potential difference between the target detection potential data and the expected potential data; The target difference is taken as the average of the target current difference and the target potential difference.

6. The remote monitoring method of the intelligent pipeline cathode tester according to claim 5 is characterized in that: The method of marking the abnormal monitoring result of the abnormal tester based on the first calibration data and the second calibration data includes: calculating a calibration difference between the first current data and the second current data, Determine whether the calibration difference is within the detection error range; if yes, mark the abnormal monitoring result of the abnormal tester as a protection abnormality; if no, mark the abnormal monitoring result of the abnormal tester as a detection abnormality.

7. The remote monitoring method of the intelligent pipeline cathode tester according to claim 6 is characterized in that: The step of obtaining the detection error range includes: Obtaining a calibration distance between the abnormal tester and the calibration tester, and obtaining an error coefficient according to the calibration distance; A basic error range is obtained, and a detection error range is calculated based on the basic error range and the error coefficient.

8. The remote monitoring method of the intelligent pipeline cathode tester according to claim 7 is characterized in that: The detection anomaly includes single detection anomaly and comprehensive detection anomaly; Obtaining an abnormal difference between the abnormal data and the expected data, and calculating a final error between the abnormal difference and the calibration difference; Determining whether the final error is within the comprehensive error range; Yes, marking the abnormal monitoring result of the abnormal tester as a single detection abnormality; No, mark the abnormal monitoring result of the abnormal tester as a comprehensive detection abnormality.

9. The remote monitoring method of the intelligent pipeline cathode tester according to claim 8 is characterized in that: It also includes executing an abnormal alarm according to the abnormal monitoring result, and the abnormal alarm is used to prompt that the abnormal tester has an abnormality.

10. An intelligent pipeline cathode tester remote monitoring device, characterized in that: include: The first data acquisition module is used to collect the detection data generated by N cathode testers respectively detecting N pipe sections of the intelligent pipeline; A first screening module, used for screening out abnormal data from the N detection data; A matching module, used for obtaining an abnormal tester and an abnormal pipe section according to the abnormal data, and for obtaining a calibration tester and a calibration pipe section related to the abnormal tester and the abnormal pipe section according to a calibration rule; A second screening module is used to screen out the detection data generated by the calibration tester detecting the calibration pipe section from the N detection data as the first calibration data; A second data acquisition module, used for acquiring second calibration data generated by the abnormal tester detecting the calibration tester; A data analysis module obtains an abnormality monitoring result of the abnormality tester by analyzing the first calibration data and the second calibration data.

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