A method and device for monitoring interference parameters of a gas pipeline affected by a subway

Abstract

The application provides a subway-affected gas pipeline interference parameter monitoring method and device, proposes a step of formulating an interference parameter monitoring principle and a data analysis method, includes basic data research content and principles, field monitoring and detection methods and requirements, data processing and analysis steps, and provides technical support for subway interference pipeline data analysis; a subway interference trend analysis method is established, a maximum wave range ΔE Max is proposed as a reference value for analyzing the corrosion risk trend of a certain section of the interference pipeline, which makes up for the deficiency of the current single-point corrosion risk judgment, promotes the understanding of the subway interference range, risk size and other problems in the industry, and constructs a subway-affected gas pipeline interference parameter monitoring principle, which is more scientific and reasonable in monitoring point arrangement, achieves accurate monitoring and accurate risk diagnosis, and avoids redundancy or risk caused by excessive monitoring or missed monitoring.

Description

Technical Field

[0001] This invention relates to the field of gas pipeline monitoring technology, and in particular to a method and device for monitoring interference parameters of gas pipelines affected by subways. Background Technology

[0002] With the rapid development of urbanization in my country, the construction of urban rail transit subway systems and municipal underground pipelines, which are considered "lifeline projects" for cities, has been carried out on a large scale. In 2023, Beijing Gas Group operated more than 20,000 kilometers of steel natural gas pipelines, supplying all urban districts and most suburban counties of Beijing. At the same time, Beijing Metro operates 27 lines with an operating mileage of 836 kilometers and 490 stations. During metro operation, because the running rails cannot achieve complete insulation from the ground, some of the current flowing through the running rails leaks into the ground. This current flows back to the substation through the soil, pipelines, and other media, forming stray DC current in the metro. This stray current causes rapid corrosion in the area where it flows out, posing a safety hazard to nearby underground gas pipelines.

[0003] Regarding interference parameter monitoring, at least 24 hours of data monitoring is conducted to analyze and clarify the corrosion risk from stray current interference in the subway. However, the current methods for selecting monitoring points are not uniform, and the deployment of monitoring points often follows the principle of "better too many than too few," which puts great pressure on financial investment, operation and maintenance investment, and personnel investment. Therefore, it is crucial to scientifically and rationally deploy monitoring points to achieve accurate monitoring and precise risk diagnosis, and to avoid the waste of equipment and maintenance burden caused by excessive deployment of monitoring points.

[0004] Regarding interference data analysis, existing monitoring data only assesses high, medium, and low interference corrosion risks at single test pile locations, without forming interference trends along pipelines near subway lines. This hinders the accurate identification, management, and drainage of high-risk interference corrosion areas. Therefore, it is necessary to establish a baseline value for interference fluctuations for each pipeline affected by subway interference, using the baseline value as the denominator to statistically analyze the fluctuation changes of that interfering pipeline. Summary of the Invention

[0005] The present invention aims to provide a method and apparatus for monitoring interference parameters of gas pipelines affected by subways, which overcomes or at least partially solves the above-mentioned problems.

[0006] To achieve the above objectives, the technical solution of the present invention is specifically implemented as follows:

[0007] One aspect of the present invention provides a method for monitoring interference parameters of gas pipelines affected by subway, comprising:

[0008] Obtain the relative location of subway lines and depot areas and buried gas pipelines, as well as the locations of intersections or adjacent points;

[0009] The monitoring points are determined based on the relative positions of the subway lines and depot areas and the underground gas pipeline network, as well as the locations of intersections or adjacent points.

[0010] The basic data on the pipe-to-ground potential fluctuations caused by the dynamic stray current in the subway are obtained from the monitoring points.

[0011] The maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation is determined as the benchmark value, and the corrosion risk of the affected pipeline is analyzed based on the benchmark value.

[0012] Optionally, the basic data obtained from the monitoring points regarding the pipe-to-ground potential fluctuations caused by the dynamic stray current in the subway include:

[0013] The pipe-to-ground potential after interference from stray currents from the subway was measured at test piles along the pipeline.

[0014] Optionally, the maximum value of the fluctuation range in the basic data for determining the pipe-to-ground potential fluctuation is used as a benchmark value, and the analysis of the corrosion risk of the disturbed pipeline based on the benchmark value includes:

[0015] In cases where a pipeline intersects with a subway line, the intersection point is taken as the location with the greatest pipeline-to-ground potential fluctuation, and the maximum value of the fluctuation range ΔE is determined. Max = The most positive pipe-to-ground potential value of the cross-point test pile - the most negative pipe-to-ground potential value of the cross-point test pile, and the maximum value of the fluctuation range ΔE Max As a benchmark value;

[0016] The pipe potential fluctuation range ΔE of other non-intersection test piles = the most positive pipe ground potential value of other non-intersection test piles - the most negative pipe ground potential value of other non-intersection test piles;

[0017] Calculate the maximum value ΔE within the fluctuation range. Max Percentage based on the baseline = ΔE / ΔE Max ;

[0018] According to the maximum value of the fluctuation range ΔE Max The percentage analysis of disturbance fluctuation characteristics is based on the baseline.

[0019] Optionally, the step is based on the maximum value of the fluctuation range ΔE. Max The percentage-based analysis of disturbance fluctuation characteristics includes:

[0020] At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases.

[0021] Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection was analyzed.

[0022] Optionally, the maximum value of the fluctuation range in the basic data for determining the pipe-to-ground potential fluctuation is used as a benchmark value, and the analysis of the corrosion risk of the disturbed pipeline based on the benchmark value includes:

[0023] When pipelines and subway lines run parallel, the maximum value of the potential fluctuation range within the parallel section is used as the benchmark value and set to 100%. The attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

[0024] Optionally, determining the monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, and the location of intersections or adjacent points, includes:

[0025] When the pipeline is located in a subway-like location, denser monitoring points should be deployed at stations, maintenance bases, and substations.

[0026] Another aspect of the present invention provides a gas pipeline interference parameter monitoring device affected by subway, comprising:

[0027] The first acquisition module is used to acquire the relative positional relationship between the subway line and the depot area and the buried gas pipeline network, as well as the location of the intersection or adjacent points.

[0028] The determination module is used to determine monitoring points based on the relative positional relationship between the subway line and the depot area and the buried gas pipeline network, as well as the location of intersections or adjacent points.

[0029] The second acquisition module is used to acquire basic data on the pipe-to-ground potential fluctuations caused by the dynamic stray current of the subway from the monitoring points.

[0030] The analysis module is used to determine the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value, and to analyze the corrosion risk of the disturbed pipeline based on the benchmark value.

[0031] Optionally, the second acquisition module acquires basic data on pipe-to-ground potential fluctuations caused by dynamic stray currents in the subway from the monitoring points in the following manner:

[0032] The pipe-to-ground potential after interference from stray currents from the subway was measured at test piles along the pipeline.

[0033] Optionally, the analysis module determines the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value:

[0034] In cases where a pipeline intersects with a subway line, the intersection point is taken as the location with the greatest pipeline-to-ground potential fluctuation, and the maximum value of the fluctuation range ΔE is determined. Max= The most positive pipe-to-ground potential value of the cross-point test pile - the most negative pipe-to-ground potential value of the cross-point test pile, and the maximum value of the fluctuation range ΔE Max As a benchmark value;

[0035] The pipe potential fluctuation range ΔE of other non-intersection test piles = the most positive pipe ground potential value of other non-intersection test piles - the most negative pipe ground potential value of other non-intersection test piles;

[0036] Calculate the maximum value ΔE within the fluctuation range. Max Percentage based on the baseline = ΔE / ΔE Max ;

[0037] According to the maximum value of the fluctuation range ΔE Max The percentage analysis of disturbance fluctuation characteristics is based on the baseline.

[0038] Optionally, the analysis module specifically uses the maximum value of the fluctuation range ΔE in the following manner. Max Percentage analysis of disturbance fluctuation characteristics based on baseline:

[0039] At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases.

[0040] Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection was analyzed.

[0041] Optionally, the analysis module determines the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value:

[0042] When pipelines and subway lines run parallel, the maximum value of the potential fluctuation range within the parallel section is used as the benchmark value and set to 100%. The attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

[0043] Optionally, the determining module determines the monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, and the location of intersections or adjacent points, in the following manner:

[0044] When the pipeline is located in a subway-like location, denser monitoring points should be deployed at stations, maintenance bases, and substations.

[0045] Therefore, the method and device for monitoring interference parameters of gas pipelines affected by subways provided by this invention proposes steps for formulating interference parameter monitoring principles and data analysis methods, including basic data survey content and principles, on-site monitoring methods and requirements, and data processing and analysis steps, providing technical support for data analysis of subway-affected pipelines; it also establishes a subway interference trend analysis method and proposes the maximum fluctuation range ΔE. Max This serves as a benchmark for analyzing the corrosion risk trend of a certain section of the pipeline affected by interference, making up for the shortcomings of the current assessment based solely on single-point corrosion risk, and promoting the industry's understanding of issues such as the scope and magnitude of subway interference. It also establishes a monitoring principle for interference parameters of gas pipelines affected by subways, enabling more scientific and reasonable deployment of monitoring points, achieving accurate monitoring and precise risk diagnosis, and avoiding redundancy or risks caused by over-monitoring or under-monitoring. Attached Figure Description

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 A flowchart of a method for monitoring interference parameters of gas pipelines affected by subway, provided in an embodiment of the present invention;

[0048] Figure 2 This is a schematic diagram of a pipeline potential testing system provided in an embodiment of the present invention;

[0049] Figure 3 This is a schematic diagram illustrating how the fluctuation range along the pipeline changes with the distance from the intersection point, as provided in an embodiment of the present invention.

[0050] Figure 4 This is a schematic diagram illustrating the interference attenuation along the pipeline at the distance intersection point provided in an embodiment of the present invention;

[0051] Figure 5 This is a schematic diagram of the potential fluctuation range along the pipeline under the condition of parallel operation at equal distances, provided by an embodiment of the present invention.

[0052] Figure 6 This is a schematic diagram illustrating the interference attenuation along the pipeline under equidistant parallel conditions, provided in an embodiment of the present invention.

[0053] Figure 7 This is a schematic diagram of the intersection of a pipeline and a subway line provided in an embodiment of the present invention;

[0054] Figure 8 This is a schematic diagram of the pipeline and subway running in parallel, provided as an embodiment of the present invention.

[0055] Figure 9 This is a schematic diagram of the structure of a gas pipeline interference parameter monitoring device affected by subway, provided in an embodiment of the present invention. Detailed Implementation

[0056] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0057] Figure 1 A flowchart of the method for monitoring interference parameters of gas pipelines affected by subway provided in an embodiment of the present invention is shown. See [link / reference]. Figure 1 The method for monitoring interference parameters of gas pipelines affected by subway, provided in this embodiment of the invention, includes:

[0058] S1, obtain the relative positional relationship between the subway line and depot area and the buried gas pipeline network, as well as the location of intersections or adjacent points;

[0059] S2, the monitoring points are determined based on the relative positions of the subway lines and depot areas and the underground gas pipeline network, as well as the locations of intersections or adjacent points;

[0060] S3, obtain basic data on pipe-to-ground potential fluctuations caused by dynamic stray currents in the subway from monitoring points;

[0061] S4. Determine the maximum value of the fluctuation range in the basic data of pipe-to-ground potential fluctuation as the benchmark value, and analyze the corrosion risk of the affected pipeline based on the benchmark value.

[0062] Specifically, this invention proposes steps for formulating principles for monitoring interference parameters and a data analysis scheme, including basic data survey content and principles, on-site monitoring methods and requirements, and data processing and analysis steps, providing technical support for data analysis of interference pipelines in subways.

[0063] This invention can monitor situations such as pipelines intersecting with subway lines, pipelines running parallel to subway lines, and pipelines located in subway-specific positions.

[0064] The following explains the intersections between pipelines and subway lines:

[0065] 1. Basic Data Survey

[0066] By investigating relevant data on subway lines and nearby buried gas pipelines, the relative positional relationship, intersections, or adjacent points of the subway lines, depot areas, and buried gas pipeline networks were clarified.

[0067] In practice, five pipe segments with overlapping intersections were analyzed, and the variation of interference fluctuation characteristics with different distances from the intersection points was statistically analyzed. The test pile numbers corresponding to these five pipe segments are T1001-T1027, T2001-T2020, T3001-T3050, T4001-T4011, and T5001-T5023, respectively. It is recommended that each monitoring pipe segment be within the range of 10-30km.

[0068] Based on the relative positions of the subway system and pipelines, multiple intersecting and parallel locations and their vicinity are selected as monitoring points. Through long-term on-site testing (more than 24 hours), basic data on the potential fluctuations of the pipeline caused by the dynamic stray current of the subway are obtained. This data is used to analyze the fluctuation characteristics and obtain characteristic parameters, assess the level of stray current interference, and identify high-risk points and their distribution patterns that are affected by subway stray current interference.

[0069] 2. On-site monitoring and testing

[0070] As an optional implementation of this invention, obtaining basic data on pipe-to-ground potential fluctuations caused by stray currents in the subway from monitoring points includes: testing the pipe-to-ground potential after interference from stray currents in the subway at test piles along the pipeline.

[0071] In practice, based on the relative positions of the subway system and pipelines, multiple intersecting and parallel locations and their vicinity are selected as monitoring points. Through long-term on-site testing (over 24 hours), basic data on pipeline-to-ground potential fluctuations caused by stray currents from the subway are obtained. This data is used to analyze the fluctuation characteristics, obtain characteristic parameters, assess the stray current interference level, and identify high-risk points affected by subway stray current interference and their distribution patterns. The specific testing methods are as follows:

[0072] See Figure 2 The pipeline ground potential E(V) after interference from stray currents from the subway is measured at test piles along the pipeline. A multimeter, a data logger with storage function, or a remote monitoring system can be used to continuously measure and record the potential fluctuations for no less than 24 hours. Figure 2 In the middle: 1-buried metal pipeline; 2-test pile; 3-reference electrode; 4-potential data tester.

[0073] 3. Data processing and analysis

[0074] As an optional implementation of this invention, the maximum value of the fluctuation range in the basic data of pipe-to-ground potential fluctuation is determined as a benchmark value, and the corrosion risk of the disturbed pipeline is analyzed based on the benchmark value, including:

[0075] When a pipeline intersects with a subway line, the intersection point is taken as the location of the greatest pipeline-to-ground potential fluctuation, and the maximum fluctuation range ΔE is determined.Max = The most positive pipe-to-ground potential value of the cross-point test pile - the most negative pipe-to-ground potential value of the cross-point test pile, and the maximum fluctuation range ΔE Max As a benchmark value;

[0076] The pipe potential fluctuation range ΔE of other non-intersection test piles = the most positive pipe ground potential value of other non-intersection test piles - the most negative pipe ground potential value of other non-intersection test piles;

[0077] Calculate the maximum fluctuation range ΔE Max Percentage based on the baseline = ΔE / ΔE Max ;

[0078] Based on the maximum fluctuation range ΔE Max The percentage analysis of disturbance fluctuation characteristics is based on the baseline.

[0079] As an optional implementation of this invention, based on the maximum fluctuation range ΔE Max The percentage-based analysis of disturbance fluctuation characteristics includes:

[0080] At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases.

[0081] Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection was analyzed.

[0082] In practical implementation, this invention performs statistical analysis on the 24-hour pipe-to-soil potential monitoring values ​​of each test pile, and proposes a maximum fluctuation range ΔE. Max The baseline value is used to analyze the corrosion risk trend of a certain section of the pipeline that has been disturbed. The specific method is as follows:

[0083] ① When a gas pipeline intersects with a subway line, the intersection point is typically where the pipeline-to-ground potential fluctuation is greatest. This value is defined as the maximum fluctuation range ΔE. Max = The most positive pipe-to-ground potential value of the test pile at the intersection point - the most negative pipe-to-ground potential value of the test pile at the intersection point, and ΔE Max As a benchmark value;

[0084] ② Statistical analysis of the pipe potential fluctuation range ΔE of other non-intersection test piles: ΔE = the most positive pipe-to-ground potential value of the test pile - the most negative pipe-to-ground potential value of the test pile;

[0085] ③ Calculate ΔE Max Percentage based on the baseline = ΔE / ΔE Max ;

[0086] ④ Statistical analysis of interference fluctuation characteristics: The specific method is as follows: At the subway intersection, the interference fluctuation range is the largest. As the distance from the intersection increases, the pipe-to-ground potential fluctuation range gradually decreases. If the potential fluctuation range at the subway intersection is taken as the benchmark and set to 100%, the attenuation of its potential fluctuation range with the distance from the intersection is analyzed.

[0087] Depend on Figure 3 and Figure 4 It can be observed that within a range of 2 to 5 km from the subway intersection, the interference fluctuation range decreases to less than 50% of its maximum value. Then, when the distance from the subway intersection reaches 10 to 25 km, the interference fluctuation range decreases to about 10% to 30% of its maximum value.

[0088] The following explains the situation where pipelines run parallel to subway lines:

[0089] As an optional implementation of the present invention, the maximum value of the fluctuation range in the basic data of pipeline potential fluctuation is determined as the benchmark value. The corrosion risk of the affected pipeline is analyzed based on the benchmark value, including: when the pipeline runs parallel to the subway line, the maximum value of the potential fluctuation range in the parallel section is taken as the benchmark value and set to 100%, and the attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

[0090] In practice, the steps are consistent with the overlapping situations, and are divided into basic data survey, on-site monitoring and testing, and data processing and analysis.

[0091] The specific results are as follows:

[0092] Pipe sections (T6001-T6010) and (T7001-T7012) run parallel to the subway. Within these parallel sections, the range of interference fluctuations is relatively similar. However, further away from the parallel sections, the range of pipe-to-ground potential fluctuations gradually decreases as the distance from the inflection point of the parallel sections increases. Using the maximum potential fluctuation range within the parallel sections as a baseline (set to 100%), the attenuation of the potential fluctuation range within and away from the parallel sections is analyzed. As shown in the figure below, approximately 5 km from the parallel inflection point of the subway, the pipeline interference fluctuation range decreases to about 20% of its maximum value.

[0093] The following explains the characteristic location of the pipeline within the subway system:

[0094] As an optional implementation of the present invention, determining the monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, and the location of intersections or adjacent points, includes: when the pipeline is located in a subway characteristic location, increasing the density of monitoring points at stations, maintenance bases, and substations.

[0095] Specifically, stations, maintenance depots, and substations, as management centers for the parking, inspection, operation, and maintenance of subway vehicles, play a crucial role in the normal operation of the subway. However, due to constraints such as land area, process requirements, and operational management, most tracks within the depots are constructed using ballast track, while tracks in some parking and maintenance depots are installed using simplified methods. Consequently, the track's insulation resistance to ground is relatively low, making it easier for current to flow out from weak points, easily forming a strong cathodic potential field that can cause cathodic interference to surrounding pipelines.

[0096] In addition, in DC traction systems, the presence of operating current and short-circuit current may cause contact voltages exceeding safety limits between the return rail and the ground. To mitigate the threat posed by elevated rail potential to subway operational safety and passenger safety, stray current collection networks are installed along the rails, and rail voltage limiting devices (OVPDs) are installed at typical locations such as stations and maintenance depots. These devices ensure personal safety through interlocking. However, prolonged grounding and interlocking operation of the OVPDs leads to a surge in stray currents in the rail transit system, severely impacting the pipelines with interference currents.

[0097] For the reasons mentioned above, stations, maintenance bases, and substations will be the locations with the most severe interference from the subway, and it is necessary to appropriately increase the density of monitoring points.

[0098] See below. Figure 7 and Figure 8 This invention will be illustrated using a typical example of a pipe located in a subway station, but it is not limited to this example:

[0099] This invention establishes the monitoring principles for gas pipelines affected by subway interference, as follows:

[0100] 1. Pipeline intersects with subway

[0101] When a pipeline intersects with a subway line, the distance between the pipeline and the intersection point is d kilometers, and the monitoring points are set at intervals of n kilometers.

[0102] ① When d≤5, n=1;

[0103] ②When 5<d≤10, n=[1,2);

[0104] ③ When 10 < d ≤ 20, n = [2, 3);

[0105] ④ When d > 20, n = [3, 5).

[0106] 2. Pipelines running parallel to subway

[0107] When the pipeline runs parallel to the subway, the distance between the pipeline and the parallel inflection point is d kilometers, and the monitoring points are set at intervals of n kilometers.

[0108] When the pipeline is in a parallel section with the subway or when d≤5, n=1;

[0109] ① When 5 < d ≤ 10, n = [1, 2);

[0110] ②When 10<d≤20, n=[2,3);

[0111] ③ When d > 20, n = [3, 5).

[0112] 3. The pipeline is located in a characteristic position of the subway.

[0113] When the pipeline is located at a station, maintenance base, or substation, the distance between the pipeline and the aforementioned characteristic locations is d kilometers, and the monitoring points are set at intervals of n kilometers.

[0114] ① When d≤3, n=1;

[0115] ②When d>3, n=[3,5).

[0116] Therefore, the method for monitoring interference parameters of gas pipelines affected by subways provided in this invention proposes steps for formulating interference parameter monitoring principles and data analysis methods, including basic data survey content and principles, on-site monitoring methods and requirements, and data processing and analysis steps, providing technical support for subway-affected pipeline data analysis; a subway interference trend analysis method is established, and the maximum fluctuation range ΔE is proposed. Max This serves as a benchmark for analyzing the corrosion risk trend of a certain section of the pipeline affected by interference, making up for the shortcomings of the current assessment based solely on single-point corrosion risk, and promoting the industry's understanding of issues such as the scope and magnitude of subway interference. It also establishes a monitoring principle for interference parameters of gas pipelines affected by subways, enabling more scientific and reasonable deployment of monitoring points, achieving accurate monitoring and precise risk diagnosis, and avoiding redundancy or risks caused by over-monitoring or under-monitoring.

[0117] Figure 9 This diagram illustrates the structure of a gas pipeline interference parameter monitoring device affected by subway interference provided in an embodiment of the present invention. This device utilizes the aforementioned method. The following is only a brief description of the structure of the device; for other matters not covered herein, please refer to the relevant descriptions in the above-described method for monitoring gas pipeline interference parameters affected by subway interference. Figure 9 The gas pipeline interference parameter monitoring device affected by subway provided in this embodiment of the invention includes:

[0118] The first acquisition module is used to acquire the relative positional relationship between the subway line and the depot area and the buried gas pipeline network, as well as the location of the intersection or adjacent points.

[0119] The determination module is used to determine monitoring points based on the relative positional relationship between subway lines and depot areas and buried gas pipelines, as well as the location of intersections or adjacent points.

[0120] The second acquisition module is used to acquire basic data on pipe-to-ground potential fluctuations caused by dynamic stray currents in the subway from the monitoring points.

[0121] The analysis module is used to determine the maximum value of the fluctuation range in the basic data of pipe-to-ground potential fluctuation as the benchmark value, and to analyze the corrosion risk of the affected pipeline based on the benchmark value.

[0122] As an optional implementation of this invention, the second acquisition module acquires basic data on the pipe-to-ground potential fluctuations caused by the dynamic stray current in the subway from the monitoring points in the following manner:

[0123] The pipeline ground potential was tested at test piles along the pipeline after being disturbed by stray currents from the subway.

[0124] As an optional implementation of this invention, the analysis module determines the maximum value of the fluctuation range in the basic data of pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value:

[0125] When a pipeline intersects with a subway line, the intersection point is taken as the location of the greatest pipeline-to-ground potential fluctuation, and the maximum fluctuation range ΔE is determined. Max = The most positive pipe-to-ground potential value of the cross-point test pile - the most negative pipe-to-ground potential value of the cross-point test pile, and the maximum fluctuation range ΔE Max As a benchmark value;

[0126] The pipe potential fluctuation range ΔE of other non-intersection test piles = the most positive pipe ground potential value of other non-intersection test piles - the most negative pipe ground potential value of other non-intersection test piles;

[0127] Calculate the maximum fluctuation range ΔE Max Percentage based on the baseline = ΔE / ΔE Max ;

[0128] Based on the maximum fluctuation range ΔE Max The percentage analysis of disturbance fluctuation characteristics is based on the baseline.

[0129] As an optional implementation of this invention, the analysis module specifically uses the maximum fluctuation range ΔE in the following manner. Max Percentage analysis of disturbance fluctuation characteristics based on baseline:

[0130] At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases.

[0131] Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection was analyzed.

[0132] As an optional implementation of this invention, the analysis module determines the maximum value of the fluctuation range in the basic data of pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value:

[0133] When pipelines and subway lines run parallel, the maximum value of the potential fluctuation range within the parallel section is used as the benchmark value and set to 100%. The attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

[0134] As an optional implementation of this invention, the determining module determines the monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, and the location of intersections or adjacent points, in the following manner:

[0135] When the pipeline is located in a subway-like location, denser monitoring points should be deployed at stations, maintenance bases, and substations.

[0136] Therefore, the gas pipeline interference parameter monitoring device provided by this invention, which addresses interference parameter monitoring, proposes steps for formulating interference parameter monitoring principles and data analysis methods. These include basic data survey content and principles, on-site monitoring methods and requirements, and data processing and analysis steps, providing technical support for subway-affected pipeline data analysis. Furthermore, a subway interference trend analysis method was established, and the maximum fluctuation range ΔE was proposed. Max This serves as a benchmark for analyzing the corrosion risk trend of a certain section of the pipeline affected by interference, making up for the shortcomings of the current assessment based solely on single-point corrosion risk, and promoting the industry's understanding of issues such as the scope and magnitude of subway interference. It also establishes a monitoring principle for interference parameters of gas pipelines affected by subways, enabling more scientific and reasonable deployment of monitoring points, achieving accurate monitoring and precise risk diagnosis, and avoiding redundancy or risks caused by over-monitoring or under-monitoring.

[0137] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for monitoring interference parameters of gas pipelines affected by subway, characterized in that, include: Obtain the relative location of subway lines and depot areas and buried gas pipelines, as well as the locations of intersections or adjacent points; The monitoring points are determined based on the relative positions of the subway lines and depot areas and the underground gas pipeline network, as well as the locations of intersections or adjacent points. The basic data on the pipe-to-ground potential fluctuations caused by the dynamic stray current in the subway are obtained from the monitoring points. The maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation is determined as the benchmark value, and the corrosion risk of the disturbed pipeline is analyzed based on the benchmark value. in: The basic data obtained from the monitoring points regarding the pipe-to-ground potential fluctuations caused by the dynamic stray current in the subway include: The pipe-to-ground potential after interference from stray currents from the subway was measured at test piles along the pipeline. The maximum value of the fluctuation range in the basic data for determining the pipe-to-ground potential fluctuation is used as a benchmark value. The analysis of the corrosion risk of the disturbed pipeline based on this benchmark value includes: In cases where a pipeline intersects with a subway line, the intersection point is taken as the location with the greatest pipeline-to-ground potential fluctuation, and the maximum value of the fluctuation range ΔE is determined. Max = The most positive pipe-to-ground potential value of the cross-point test pile - The most negative pipe-to-ground potential value of the cross-point test pile, and the maximum value of the fluctuation range ΔE Max As a benchmark value; The pipe potential fluctuation range ΔE of other non-intersection point test piles = the most positive pipe-to-ground potential value of other non-intersection point test piles - the most negative pipe-to-ground potential value of other non-intersection point test piles; Calculate the maximum value ΔE within the fluctuation range. Max Percentage based on the baseline = ΔE / ΔE Max ; According to the maximum value of the fluctuation range ΔE Max The percentage-based analysis of disturbance fluctuation characteristics is used as a benchmark. The maximum value of the fluctuation range ΔE is used as the basis. Max The percentage-based analysis of disturbance fluctuation characteristics includes: At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases. Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection is analyzed. The determination of monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, and the location of intersections or adjacent points includes: When the pipeline is located in a subway-like location, denser monitoring points should be deployed at stations, maintenance bases, and substations.

2. The method according to claim 1, characterized in that, The maximum value of the fluctuation range in the basic data for determining the pipe-to-ground potential fluctuation is used as a benchmark value. The analysis of the corrosion risk of the disturbed pipeline based on this benchmark value includes: When pipelines and subway lines run parallel, the maximum value of the potential fluctuation range within the parallel section is used as the benchmark value and set to 100%. The attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

3. A device for monitoring interference parameters of gas pipelines affected by subway, characterized in that, include: The first acquisition module is used to acquire the relative positional relationship between the subway line and the depot area and the buried gas pipeline network, as well as the location of the intersection or adjacent points. The determination module is used to determine monitoring points based on the relative positional relationship between the subway line and the depot area and the buried gas pipeline network, as well as the location of intersections or adjacent points. The second acquisition module is used to acquire basic data on the pipe-to-ground potential fluctuations caused by the dynamic stray current of the subway from the monitoring points. The analysis module is used to determine the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value, and to analyze the corrosion risk of the disturbed pipeline based on the benchmark value; in: The second acquisition module obtains basic data on pipe-to-ground potential fluctuations caused by dynamic stray currents in the subway from the monitoring points in the following manner: The pipe-to-ground potential after interference from stray currents from the subway was measured at test piles along the pipeline. The analysis module determines the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value: In cases where a pipeline intersects with a subway line, the intersection point is taken as the location with the greatest pipeline-to-ground potential fluctuation, and the maximum value of the fluctuation range ΔE is determined. Max = The most positive pipe-to-ground potential value of the cross-point test pile - The most negative pipe-to-ground potential value of the cross-point test pile, and the maximum value of the fluctuation range ΔE Max As a benchmark value; The pipe potential fluctuation range ΔE of other non-intersection point test piles = the most positive pipe-to-ground potential value of other non-intersection point test piles - the most negative pipe-to-ground potential value of other non-intersection point test piles; Calculate the maximum value ΔE within the fluctuation range. Max Percentage based on the baseline = ΔE / ΔE Max ; According to the maximum value of the fluctuation range ΔE Max The percentage-based analysis of disturbance fluctuation characteristics is used as a benchmark. The analysis module specifically uses the maximum fluctuation range ΔE in the following manner. Max Percentage analysis of disturbance fluctuation characteristics based on baseline: At the subway intersection, the range of interference fluctuations is the largest. As the distance from the intersection increases, the range of pipe-to-ground potential fluctuations gradually decreases. Using the potential fluctuation range at the subway intersection as a benchmark and set to 100%, the attenuation of the potential fluctuation range with the distance from the intersection is analyzed. The determining module determines the monitoring points based on the relative positional relationship between the subway line and depot area and the buried gas pipeline network, as well as the location of intersections or adjacent points, in the following manner: When the pipeline is located in a subway-like location, denser monitoring points should be deployed at stations, maintenance bases, and substations.

4. The apparatus according to claim 3, characterized in that, The analysis module determines the maximum value of the fluctuation range in the basic data of the pipe-to-ground potential fluctuation as a benchmark value in the following manner, and analyzes the corrosion risk of the disturbed pipeline based on the benchmark value: When pipelines and subway lines run parallel, the maximum value of the potential fluctuation range within the parallel section is used as the benchmark value and set to 100%. The attenuation of the potential fluctuation range in the parallel section and far from the parallel section is analyzed.

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