Method and system for determining electromagnetic environment influence of high-voltage transmission line on oil and gas pipeline

Abstract

The application discloses a kind of high-voltage transmission line to oil and gas pipeline electromagnetic environment influence determination method and system, the high-voltage transmission line to oil and gas pipeline electromagnetic environment influence determination method includes basic data acquisition and pre-processing: collection transmission line, oil and gas pipeline, spatial position and environment related parameters;Electromagnetic interference mechanism analysis: based on the spatial correlation database, clear transmission line electromagnetic radiation generation mechanism and pipeline electromagnetic coupling path, identify the key factors and weight that influence electromagnetic interference;Coupling simulation model construction: based on the electromagnetic interference mechanism analysis result, establish transmission line-oil and gas pipeline-soil environment three-dimensional electromagnetic simulation model, multi-working condition simulation calculation: simulate including normal operation, fault short-circuit, operating overvoltage and extreme environment multiple working conditions, the present application constructs whole-process technical system, realizes the scientific quantification determination of high-voltage transmission line to oil and gas pipeline electromagnetic environment influence.

Description

Technical Field

[0001] This invention relates to the field of oil and gas pipeline planning technology, and in particular to a method and system for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines. Background Technology

[0002] With economic and social development and the expansion of power grid construction, the spatial intersections and parallel laying of overhead power transmission lines and buried oil and gas pipelines are becoming increasingly common, highlighting the growing contradiction between resource utilization and safe operation. In overlapping or near-overlapping sections, the electromagnetic environment generated by power transmission lines can pose multiple risks to oil and gas pipelines: first, electromagnetic interference can puncture the pipeline's anti-corrosion layer, leading to corrosion failure and leaks; second, strong electromagnetic environments can cause arc discharges, burning the pipe walls and reducing structural strength; and third, in extreme cases, it can induce oil and gas leaks or even explosions, seriously threatening public safety and the ecological environment.

[0003] Currently, the industry lacks a systematic electromagnetic environment impact assessment method for the initial stage of route planning. Existing assessments mostly focus on post-construction monitoring, making it difficult to mitigate risks at the source. Traditional assessment methods suffer from problems such as non-standard data processing and insufficient accuracy of simulation models, resulting in large errors in the quantification results of electromagnetic interference, which cannot provide reliable technical support for route and pipeline planning and design, and route optimization.

[0004] Therefore, it is urgent to build a complete and high-precision electromagnetic environment impact determination technology system to achieve scientific quantification and risk prediction of the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines. Summary of the Invention

[0005] This invention provides a method, system, equipment, and medium for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines, in order to solve the aforementioned technical problems in the prior art.

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0007] According to a first aspect of the present invention, a method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines is provided.

[0008] In one embodiment, the method for determining the electromagnetic environment impact of the high-voltage transmission line on the oil and gas pipeline includes: Basic data acquisition and preprocessing: Collect parameters related to power transmission lines, oil and gas pipelines, spatial location and environment, and construct a standardized spatial association database after cleaning, standardization and association mapping. Electromagnetic interference mechanism analysis: clarify the generation mechanism of electromagnetic radiation from transmission lines and the electromagnetic coupling path of pipelines, and identify key influencing factors and their weights; Coupled simulation model construction: Based on electromagnetic induction theory and the principle of multi-physics coupling, a three-dimensional electromagnetic simulation model of power transmission line-oil and gas pipeline-soil environment was built, and the model accuracy was ensured through theoretical and experimental verification. Multi-condition simulation calculation: Simulates normal operation, fault short circuit, operating overvoltage and extreme environmental conditions, and calculates key parameters such as electromagnetic induction voltage and current density along the pipeline; Risk assessment: Based on simulation results and pipeline tolerance parameters, the risk level of pipeline failure caused by electromagnetic interference is quantified through a three-level index system and fuzzy comprehensive evaluation method. Output assessment results and optimization suggestions: Generate a risk assessment report and propose optimization solutions such as route adjustment and shielding protection for high-risk areas.

[0009] The above technical solutions enable the scientific quantification of the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines. Standardized data processing ensures input accuracy, a high-precision simulation model is constructed based on the principle of multi-physics coupling, and a three-level indicator system is used to achieve risk classification. This provides reliable technical support for line and pipeline planning and design, and route optimization.

[0010] In one embodiment, during the basic data acquisition and preprocessing: Data collection content includes: power transmission line parameters, oil and gas pipeline parameters, spatial location parameters, and environmental parameters; The transmission line parameters mentioned in the above scheme include, but are not limited to: voltage level, conductor type, and rated current; Oil and gas pipeline parameters include, but are not limited to: material, pipe diameter, and type of anti-corrosion coating; Spatial location parameters include, but are not limited to: parallel length, net distance, and intersection angle; Environmental parameters include, but are not limited to: soil resistivity and humidity.

[0011] Data cleaning: Outliers were removed using the 3σ criterion, missing values ​​were filled in using Kriging interpolation, and data consistency was verified (error ≤ 1%). Data standardization: The unified unit is the International System of Units (SI), the standard coordinate format is the WGS84 coordinate system, and the scale parameter is normalized to the [0, 1] interval; Data association mapping: Using spatial coordinates and segment numbers as the association keys, a PostGIS spatial association database is constructed to support data query and association analysis.

[0012] In one embodiment, the electromagnetic interference mechanism analysis includes: Electromagnetic radiation generation mechanism of transmission lines: clarify the generation principle and characteristics of steady-state power frequency electromagnetic fields and transient electromagnetic fields; Among them, the steady-state power frequency electromagnetic field follows the Biot-Savart law. ; E: refers to the power frequency electric field strength at a certain point in the space around the transmission line (unit: kV / m or V / m), which is the core parameter for measuring the intensity of electromagnetic interference and directly affects the corrosion resistance and safe operation of oil and gas pipelines. I: refers to the effective value of the power frequency current in the transmission line conductor (unit: A), including the rated current or load current during normal operation. The larger the current, the stronger the electric field strength generated.

[0013] r: refers to the vertical distance (unit: m) from a point in space to the center of the transmission line conductor. The farther away from the conductor, the more obvious the attenuation of the electric field strength, which conforms to the inverse square law.

[0014] ∝: indicates a "proportional" relationship, meaning that the magnitude of the electric field strength E is directly proportional to the current I and inversely proportional to the square of the distance r.

[0015] Pipeline electromagnetic coupling path: Identify the mechanisms of electromagnetic induction coupling, capacitive coupling, and conductive coupling; Key influencing factor identification: Determine the weights of four categories of core influencing factors: line parameters, pipeline parameters, spatial location parameters, and environmental parameters.

[0016] In one embodiment, the weights of the four categories of core influencing factors are obtained using the analytic hierarchy process (AHP), specifically including the following steps: Component hierarchy; Design pairwise comparison judgment matrices; Consistency check and weight calculation; Weight normalization processing.

[0017] In one embodiment, the construction of the coupled simulation model includes: Model assumptions: The wires are assumed to be ideal conductors, the pipes are made of uniform steel, the soil is a uniform semi-infinite medium, and electromagnetic reflections from non-critical metal components are ignored; Boundary condition settings: The spatial boundary is a cuboid computational domain, and absorbing boundary conditions are set at the boundary. The interface satisfies the rules of tangential continuity and normal abrupt change of electromagnetic field. Model building steps: Use COMSOL Multiphysics 6.0 to build the geometric model, import spatial coordinate data to build the geometric model, assign material parameters, configure time-harmonic / transient electromagnetic fields and excitation sources, use free tetrahedral mesh generation, and define the three major coupling relationships; Model validation: The model's accuracy is ensured through theoretical validation using Nelson's formula and field measurements.

[0018] In one embodiment, the multi-condition simulation calculation includes: Operating condition design: covering four types of operating conditions: normal operation, fault short circuit, switching overvoltage, and extreme environment; Calculation content includes: electromagnetic induction parameters, coupling effect parameters, and risk correlation parameters; Results processing: Extract the maximum value of the parameter and compare it with the safety threshold, plot the axial / radial distribution curve and 3D cloud map, and conduct sensitivity analysis to determine the key influencing parameters.

[0019] In one embodiment, the risk assessment includes: A three-tiered indicator system is constructed: the first-tier indicators include electromagnetic interference intensity, pipeline withstand capability, and environmental impact; the second- and third-tier indicators clearly define the corresponding evaluation standards and data sources. Indicator scoring: Each tertiary indicator is scored on a scale of 1 to 5. Risk level classification: The risk level is divided into four levels by calculating the normalized comprehensive score using the fuzzy comprehensive evaluation method, and the corresponding handling requirements are clearly defined.

[0020] In one embodiment, a system for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines is also disclosed, specifically including: Data acquisition and preprocessing module: used to collect data on power transmission lines, oil and gas pipelines, spatial location and environmental parameters, and output a standardized spatial correlation database after cleaning, standardization and correlation mapping. Electromagnetic Interference Mechanism Analysis Module: Used to clarify the generation mechanism and coupling path of electromagnetic radiation, identify key influencing factors, and output interference mechanism report and list of key influencing factors; Coupled simulation model construction module: used to build and verify a three-dimensional electromagnetic simulation model based on the mechanism analysis results and standardized data, and output a verified simulation model; Multi-condition simulation calculation module: used to simulate multiple typical working conditions, calculate key electromagnetic parameters along the pipeline, and output simulation results and parameter distribution characteristics; Risk assessment module: Based on simulation results and pipeline tolerance parameters, it quantifies the risk level through a three-level indicator system and outputs a risk assessment report; Optimization suggestion output module: Used to propose optimization solutions such as route adjustment and shielding protection for high-risk areas.

[0021] In one embodiment, the system adopts a B / S architecture, is developed based on Python + Vue, and consists of a four-layer architecture: Data layer: Utilizes a MySQL+PostGIS database to store basic parameters, simulation results, and risk assessment data; Model layer: integrates electromagnetic simulation model and risk assessment model, and provides parameter configuration and automatic calculation interface; Application layer: includes five modules: data management, simulation calculation, risk assessment, visualization, and report generation; User layer: Supports web browser access, provides multi-role permission management, and features a simple, intuitive interface with wizard-driven operation.

[0022] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: This invention establishes a comprehensive technical system to scientifically quantify the impact of high-voltage transmission lines on the electromagnetic environment of oil and gas pipelines. Standardized data processing ensures input accuracy, a high-precision simulation model is built based on the principle of multi-physics coupling, and a three-level indicator system is used to achieve risk classification. This provides reliable technical support for line and pipeline planning and design, and route optimization. This method is not only applicable to risk prediction in the planning stage, but also to the review of the electromagnetic environment impact of existing lines and pipelines and the design of risk remediation plans, effectively mitigating electromagnetic interference risks at the source and ensuring the safe operation of oil and gas pipelines and public safety.

[0023] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0024] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0025] Figure 1 This is a flowchart illustrating a method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines, according to an exemplary embodiment. Figure 2 This is a structural block diagram illustrating a power grid primary frequency regulation capacity optimization system according to an exemplary embodiment; Figure 3 This is a flowchart illustrating the analytic hierarchy process in a method for determining the electromagnetic environment of oil and gas pipelines using a high-voltage transmission line, according to an exemplary embodiment. Figure 4 This is a structural block diagram illustrating the electromagnetic radiation generation mechanism of transmission lines and the electromagnetic coupling path of pipelines in an electromagnetic interference mechanism analysis based on an exemplary embodiment. Detailed Implementation

[0026] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.

[0027] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0028] In this document, unless otherwise stated, the term "multiple" means two or more.

[0029] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0030] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0031] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0032] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0033] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0034] Figure 1 An embodiment of the present invention is shown, which describes a method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines. In this embodiment, a planning scenario is applied where a 220kV high-voltage transmission line and an X80 steel gas pipeline are laid in parallel.

[0035] In this optional embodiment, the method for determining the electromagnetic environment impact of the high-voltage transmission line on the oil and gas pipeline includes: Step S101: Basic Data Acquisition and Preprocessing. Collect parameters related to power transmission lines, oil and gas pipelines, spatial location, and the environment. After cleaning, standardization, and correlation mapping, construct a standardized spatial correlation database. This spatial correlation database is a database system that combines spatial data (geographic coordinates, geometric shapes, topological relationships, etc.) with attribute data (various parameters and attribute information), and supports spatial query and spatial analysis functions. It is constructed using the professional tool PostGIS (a spatial extension of the PostgreSQL database), specifically including: Data acquisition: Line parameters were obtained from the power design institute: voltage level 220kV, conductor type LGJ-400 / 35, rated current 500A; pipeline parameters were obtained from the pipeline design institute: pipe diameter 1000mm, wall thickness 12mm, 3PE anti-corrosion layer; spatial location parameters were obtained through GNSS positioning and laser ranging: parallel length 300m, net distance 8m; on-site sampling and testing of soil resistivity: 50Ω・m, humidity 25% environmental parameters. Data cleaning: Short-circuit current anomalies were removed using the 3σ criterion. Data exceeding the 20-31.5kA range were supplemented with missing soil moisture data using Kriging interpolation. Data standardization: unify units, convert burial depth (cm) to m, standardize coordinate format to WGS84 coordinate system, and normalize scale parameters to the [0, 1] interval; Data association mapping: Using spatial coordinates and segment numbers as the association keys, a PostGIS spatial association database is constructed to support data query and association analysis.

[0036] Step S103: Electromagnetic interference mechanism analysis, clarifying the generation mechanism of electromagnetic radiation from transmission lines and the electromagnetic coupling path of pipelines, identifying key influencing factors and their weights, specifically including: Electromagnetic radiation generation mechanism of transmission lines: This study clarifies the generation principles and characteristics of steady-state and transient electromagnetic fields. Specifically, it establishes an analytical calculation model of the steady-state electromagnetic field of a transmission line under normal operating conditions based on Maxwell's equations. This analytical calculation model follows the Biot-Savart law. ; E: refers to the power frequency electric field strength at a certain point in the space around the transmission line (unit: kV / m or V / m), which is the core parameter for measuring the intensity of electromagnetic interference and directly affects the corrosion resistance and safe operation of oil and gas pipelines. I: refers to the effective value of the power frequency current in the transmission line conductor (unit: A), including the rated current or load current during normal operation. The larger the current, the stronger the electric field strength generated.

[0037] r: refers to the vertical distance (unit: m) from a point in space to the center of the transmission line conductor. The farther away from the conductor, the more obvious the attenuation of the electric field strength, which conforms to the inverse square law.

[0038] ∝: indicates a "proportional" relationship, meaning that the magnitude of the electric field strength E is directly proportional to the current I and inversely proportional to the square of the distance r.

[0039] Then, a transient electromagnetic field time-domain simulation model under fault short circuit and operational overvoltage conditions is established using circuit transient theory. The spatial distribution characteristics, spectral characteristics and attenuation laws of the two types of electromagnetic fields are extracted. The purpose is to clarify the characteristics of the interference source and provide an accurate input source and verification benchmark for the simulation model.

[0040] For example: it is specified that the distance at which the steady-state power frequency electromagnetic field of a 220kV line attenuates to a background value of ≤0.5kV / m is 50m, and the amplification factor k=50-100 when the transient electromagnetic field is short-circuited; Pipeline electromagnetic coupling path: Identify the mechanisms of electromagnetic induction coupling, capacitive coupling, and conductive coupling, and determine electromagnetic induction coupling as the main path. Based on the theories of electromagnetic induction, electrostatic coupling, and ground potential rise, establish mutual inductance models for electromagnetic induction coupling, equivalent circuit models for capacitive coupling, and ground potential distribution models for conductive coupling, respectively. Analyze the operating conditions, main influencing parameters, and their dominant ranking under typical laying methods for each coupling path, and clarify the interference propagation path and key parameters. In order to guide the simulation model to focus on the core coupling mechanism, provide a parameter basis and structural basis for the construction of the risk assessment index system; Key influencing factor identification: Determine the weights of four categories of core influencing factors: line parameters, pipeline parameters, spatial location parameters, and environmental parameters. Among the key influencing factors, the net distance has the highest weight, following the inverse square law.

[0041] In one embodiment, such as Figure 4 As shown, the code that clarifies the electromagnetic radiation generation mechanism of transmission lines and the electromagnetic coupling path of pipelines includes: flowchart TD A[Electromagnetic Interference Mechanism Analysis] --> B["Extracting Electromagnetic Field Characteristics"] (Spatial distribution, spectrum, attenuation pattern) A --> C ["Analyze the coupling path"] (Conditions of action, key parameters, dominant ranking) B --> E ["Start: Multi-condition simulation calculation"] (Define operating condition types and boundaries) C --> D ["Start: Coupled Simulation Model Construction"] (Provide excitation source parameters and verification benchmarks) C --> F ["Initiation: Risk Assessment"] (Provide key parameters and structural basis for the indicator system).

[0042] Please refer to Figure 3 The weights of the four core influencing factors are obtained using the analytic hierarchy process (AHP), specifically including the following steps: B101. Component hierarchy, including: Target layer: Weighting of the impact of electromagnetic interference intensity of high-voltage transmission lines on oil and gas pipelines; Criterion layer: Line parameters, pipeline parameters, spatial location parameters, environmental parameters; Scheme layer: Specific sub-factors under each criterion layer, including voltage level and current magnitude under line parameters.

[0043] B102. Design pairwise comparison judgment matrices, including: Three to five industry experts in the fields of electromagnetics, power systems, and pipeline engineering were invited to conduct pairwise comparisons of the importance of the four categories of factors in the criteria layer. A 1-9 scale was used to assign values, where 1 = both factors are equally important, 3 = the former is slightly more important than the latter, 5 = the former is more important than the latter, 7 = the former is much more important than the latter, 9 = the former is extremely more important than the latter, and 2 / 4 / 6 / 8 are intermediate transitional values. B103. Consistency check and weight calculation; Calculate the maximum eigenvalue λmax of the judgment matrix and pass the consistency index. (n=4, i.e., the number of factors in the criterion layer) and the random consistency ratio C=B / R, where R is the average random consistency index. When n=4, R=0.90, which tests for consistency. If C < 0.1, it indicates that the experts' judgment logic is consistent, and the weights of each criterion layer factor can be calculated using the eigenvector method; if C ≥ 0.1, feedback is needed to adjust the judgment matrix of the experts until the consistency requirement is met.

[0044] B104, Weight normalization processing.

[0045] The calculated initial weights—0.36 for line parameters, 0.24 for pipeline parameters, 0.24 for spatial location parameters, and 0.16 for environmental parameters—are normalized to obtain the standard weights "0.35, 0.25, 0.25, 0.15" in the document. These weights are rounded to two decimal places to meet the accuracy requirements for engineering applications.

[0046] Step S105: Construction of Coupled Simulation Model The geometric model was built using COMSOL Multiphysics 6.0. The wire diameter was 26.8 mm, the pipe outer diameter was 1000 mm + 2 × 0.4 mm anti-corrosion layer thickness, and the soil and air domains were modeled according to the actual terrain. Assigned material parameters: Conductivity of wire 3.5 × 10⁻⁶ 7 S / m, relative permeability of the pipe is 100, a time harmonic electromagnetic field (50Hz) and a transient electromagnetic field excitation source are set, and a free tetrahedral mesh is divided: the mesh size of the adjacent area is 0.2m; Verified by the Nelson formula, the model's calculated value has an error of 3.2% compared to the theoretical value, and the average error verified by field measurements is 6.8%, which meets the accuracy requirements.

[0047] Step S107, Multi-condition simulation calculation: Simulating four operating conditions—normal full load, three-phase short circuit fault, overvoltage during closing operation, and rainstorm—the maximum longitudinal induced voltage of the pipeline was calculated to be 18.6 V / m, and the maximum surface electric field strength was 35.2 kV / m. Axial distribution curves were plotted, and the midpoint of the parallel segment was identified as a high-interference region. Sensitivity analysis showed that the change in net distance had the most significant impact on the induced voltage.

[0048] Step S109, Risk Assessment: According to the three-level indicator system, the electromagnetic interference intensity scored 3.8 points, the pipeline withstand capability scored 2.0 points, the environmental impact scored 2.5 points, and the overall score was 0.65. The risk level was determined to be high, and an optimization suggestion was made to increase the clearance from 8m to 12m.

[0049] Figure 2 An embodiment of a system for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to the present invention is shown.

[0050] In this optional embodiment, the system for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines includes: Data acquisition and preprocessing module 201: used to collect data on power transmission lines, oil and gas pipelines, spatial location and environmental parameters, and output a standardized spatial correlation database after cleaning, standardization and correlation mapping. Electromagnetic Interference Mechanism Analysis Module 202: Used to clarify the generation mechanism and coupling path of electromagnetic radiation, identify key influencing factors, and output an interference mechanism report and a list of key influencing factors; Coupled simulation model construction module 203: used to build and verify a three-dimensional electromagnetic simulation model based on the mechanism analysis results and standardized data, and output a verified simulation model; Multi-condition simulation calculation module 204: used to simulate multiple typical working conditions, calculate key electromagnetic parameters along the pipeline, and output simulation results and parameter distribution characteristics; Risk assessment module 205: Based on simulation results and pipeline tolerance parameters, it quantifies the risk level through a three-level indicator system and outputs a risk assessment report; Optimization suggestion output module 206: Used to propose optimization solutions such as route adjustment and shielding protection for high-risk areas.

[0051] In practical applications, the system adopts a B / S architecture, is developed based on Python + Vue, and consists of a four-layer architecture: Data layer: MySQL+PostGIS database is used to store basic parameters, simulation results, and risk assessment data; Model layer: integrates electromagnetic simulation model and risk assessment model, and provides parameter configuration and automatic calculation interface; Application layer: includes five modules: data management, simulation calculation, risk assessment, visualization, and report generation; User layer: Supports web browser access, provides multi-role permission management, and features a simple, intuitive interface with wizard-driven operation.

[0052] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.

Claims

1. A method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines, characterized in that, include: Basic data acquisition and preprocessing: Collect parameters related to power transmission lines, oil and gas pipelines, spatial location and environment, clean, standardize and perform correlation mapping on the data to form a standardized spatial correlation database; Electromagnetic interference mechanism analysis: Based on the aforementioned spatial correlation database, the generation mechanism of electromagnetic radiation from transmission lines and the electromagnetic coupling path of pipelines are clarified, and the key factors and their weights affecting electromagnetic interference are identified. Coupled simulation model construction: Based on the analysis results of the electromagnetic interference mechanism, and in accordance with the electromagnetic induction theory and the multi-physics coupling principle, a three-dimensional electromagnetic simulation model of transmission line-oil and gas pipeline-soil environment is established, and the model is verified by theory and experimental measurements to ensure its accuracy. Multi-condition simulation calculation: Using the three-dimensional electromagnetic simulation model, various operating conditions including normal operation, fault short circuit, operating overvoltage and extreme environment are simulated to calculate key parameters such as electromagnetic induced voltage and current density along the pipeline. Risk assessment: Based on the parameter results obtained from the multi-condition simulation calculation, combined with the pipeline tolerance parameters, a three-level index system and fuzzy comprehensive evaluation method are used to quantify the risk level of pipeline failure caused by electromagnetic interference. Output assessment results and optimization suggestions: Based on the risk assessment results, generate a risk assessment report and propose optimization schemes, including route adjustment and shielding protection, for high-risk areas.

2. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 1, characterized in that, In the basic data acquisition and preprocessing: Data collection content includes: power transmission line parameters, oil and gas pipeline parameters, spatial location parameters, and environmental parameters; Data cleaning: Outliers were removed using the 3σ criterion, missing values ​​were supplemented using Kriging interpolation, and data consistency was verified; Data standardization: The unified unit is the International System of Units (SI), the standard coordinate format is the WGS84 coordinate system, and the scale parameter is normalized to the [0, 1] interval; Data association mapping: Using spatial coordinates and segment numbers as the association keys, a PostGIS spatial association database is constructed to support data query and association analysis.

3. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 2, characterized in that, The electromagnetic interference mechanism analysis includes: Electromagnetic radiation generation mechanism of transmission lines: clarify the generation principle and characteristics of steady-state power frequency electromagnetic fields and transient electromagnetic fields; Pipeline electromagnetic coupling path: Identify the mechanisms of electromagnetic induction coupling, capacitive coupling, and conductive coupling; Key influencing factor identification: Determine the weights of four categories of core influencing factors: line parameters, pipeline parameters, spatial location parameters, and environmental parameters.

4. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 3, characterized in that, The generation principles and characteristics of steady-state and transient electromagnetic fields are clearly defined, specifically including: An analytical calculation model of steady-state power frequency electromagnetic field of transmission lines under normal operating conditions is established based on Maxwell's equations. A time-domain simulation model of transient electromagnetic field under fault short-circuit and switching overvoltage conditions is established through circuit transient theory. The spatial distribution characteristics, spectral characteristics and attenuation laws of the two types of electromagnetic fields are extracted.

5. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 3, characterized in that, The mechanisms by which electromagnetic inductive coupling, capacitive coupling, and conductive coupling are identified specifically include: Based on the theories of electromagnetic induction, electrostatic coupling, and ground potential rise, electromagnetic induction coupling mutual inductance model, capacitive coupling equivalent circuit model, and conduction coupling ground potential distribution model are established respectively. The operating conditions, main influencing parameters, and their dominant ranking under typical laying methods of each coupling path are analyzed.

6. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 3, characterized in that, The weights of the four categories of core influencing factors were obtained using the analytic hierarchy process (AHP), specifically including the following steps: Component hierarchy; Design pairwise comparison judgment matrices; Consistency check and weight calculation; Weight normalization processing.

7. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 1, characterized in that, The construction of the coupled simulation model includes: Model assumptions: The wires are assumed to be ideal conductors, the pipes are made of uniform steel, the soil is a uniform semi-infinite medium, and electromagnetic reflections from non-critical metal components are ignored; Boundary condition settings: The spatial boundary is a cuboid computational domain, and absorbing boundary conditions are set at the boundary. The interface satisfies the rules of tangential continuity and normal abrupt change of electromagnetic field. Model building steps: Use COMSOL Multiphysics 6.0 to build the geometric model, import spatial coordinate data to build the geometric model, assign material parameters, configure time-harmonic / transient electromagnetic fields and excitation sources, use free tetrahedral mesh generation, and define the three major coupling relationships; Model validation: The model's accuracy is ensured through theoretical validation using Nelson's formula and field measurements.

8. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 1, characterized in that, The multi-condition simulation calculation includes: Operating condition design: covering four types of operating conditions: normal operation, fault short circuit, switching overvoltage, and extreme environment; Calculation content includes: electromagnetic induction parameters, coupling effect parameters, and risk correlation parameters; Results processing: Extract the maximum value of the parameter and compare it with the safety threshold, plot the axial / radial distribution curve and 3D cloud map, and conduct sensitivity analysis to determine the key influencing parameters.

9. The method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines according to claim 1, characterized in that, The risk assessment includes: A three-tiered indicator system is constructed: the first-tier indicators include electromagnetic interference intensity, pipeline withstand capability, and environmental impact; the second- and third-tier indicators clearly define the corresponding evaluation standards and data sources. Indicator scoring: Each tertiary indicator is scored on a scale of 1 to 5. Risk level classification: The risk level is divided into four levels by calculating the normalized comprehensive score using the fuzzy comprehensive evaluation method, and the corresponding handling requirements are clearly defined.

10. A system for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines, based on the application of the method for determining the electromagnetic environment impact of high-voltage transmission lines on oil and gas pipelines as described in claims 1-9, characterized in that... include: Data acquisition and preprocessing module: used to collect data on power transmission lines, oil and gas pipelines, spatial location and environmental parameters, and output a standardized spatial correlation database after cleaning, standardization and correlation mapping. Electromagnetic Interference Mechanism Analysis Module: Used to clarify the generation mechanism and coupling path of electromagnetic radiation, identify key influencing factors, and output interference mechanism report and list of key influencing factors; Coupled simulation model construction module: used to build and verify a three-dimensional electromagnetic simulation model based on the mechanism analysis results and standardized data, and output a verified simulation model; Multi-condition simulation calculation module: used to simulate multiple typical working conditions, calculate key electromagnetic parameters along the pipeline, and output simulation results and parameter distribution characteristics; Risk assessment module: Based on simulation results and pipeline tolerance parameters, it quantifies the risk level through a three-level indicator system and outputs a risk assessment report; Optimization suggestion output module: used to propose optimization solutions such as route adjustment and shielding protection for high-risk areas; The system adopts a B / S architecture, is developed based on Python + Vue, and consists of a four-layer architecture: Data layer: Utilizes a MySQL+PostGIS database to store basic parameters, simulation results, and risk assessment data; Model layer: integrates electromagnetic simulation model and risk assessment model, and provides parameter configuration and automatic calculation interface; Application layer: includes five modules: data management, simulation calculation, risk assessment, visualization, and report generation; User layer: Supports web browser access, provides multi-role permission management, and features a simple, intuitive interface with wizard-driven operation.

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