Rapid construction method and equipment for electric field fingerprint technology database

Abstract

The invention discloses a rapid construction method and equipment for an electric field fingerprint technology database, and belongs to the technical field of corrosion monitoring. The method comprises the following steps: S1, simulation demand analysis: calculating distribution information of an electric field containing a pitting corrosion monitoring piece; s2, simulation parameters are set, and a monitoring part simulation calculation model is established; s3, simulation calculation: according to set simulation parameters, calculating to obtain model electric field distribution information without pitting corrosion and model electric field distribution information with pitting corrosion under all single parameters; s4, extracting potential information of the simulation model to construct a potential matrix: constructing an electric field data extraction coordinate matrix according to preset electrode matrix parameters, and extracting potential information corresponding to each coordinate; s5, data post-processing: according to the potential matrix, respectively constructing an initial potential difference matrix and an acquisition potential difference matrix, and further calculating to obtain an FC value matrix; and S6, data storage: inserting the parameters and the matrix into an existing pitting database. According to the invention, the electric field fingerprint technology database can be constructed efficiently and quickly.

Description

Technical Field

[0001] The present invention belongs to the technical field of corrosion monitoring, and particularly relates to a method and device for quickly constructing an electric field fingerprint technology database. Background Art

[0002] In the oil and gas industry, property losses caused by pipeline corrosion failure can account for 3% - 5% of the gross national product. Therefore, corrosion monitoring of oil and gas pipelines is very important. In recent years, the electric field fingerprint technology has been increasingly widely used in the field of corrosion monitoring due to its outstanding advantages. However, the current electric field fingerprint monitoring database and data inversion accuracy are still relatively low.

[0003] With the development of computer technology and the maturity of numerical simulation technology, more and more practical engineering problems begin to rely on model simulation to find specific implementation methods for actual engineering application scenarios from the simulation results. In numerical simulation technology, one application method is to obtain a large amount of simulation data through numerical simulation and establish a mathematical model, and use the established mathematical model to solve actual engineering problems. However, for the establishment of a model database, it is often not only inefficient but also troublesome to query data. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems in the above related technologies to some extent.

[0005] For this reason, the purpose of the present invention is to provide a method and device for quickly constructing an electric field fingerprint technology database, which can efficiently and quickly construct an electric field fingerprint technology database.

[0006] In order to solve the above technical problems, the present invention is implemented as follows: The embodiment of the present invention provides a method for quickly constructing an electric field fingerprint technology database, and the method includes: S1. Conduct a simulation requirement analysis, including calculating the electric field distribution information of a monitoring component with pitting corrosion; S2. Set simulation parameters and establish a simulation calculation model of the monitoring component; S3. Conduct a simulation calculation: According to the set simulation parameters, calculate the electric field distribution information of the models without pitting corrosion and with pitting corrosion under all single parameters; S4. Extract the potential information of the simulation model to construct a potential matrix: According to the preset electrode matrix parameters, construct an electric field data extraction coordinate matrix, and extract the potential information corresponding to each coordinate; S5. Post-process the data: According to the potential matrix, respectively construct an initial potential difference matrix and a collected potential difference matrix, and then calculate to obtain an FC value matrix; S6. Data storage: Insert the foregoing simulation parameters, potential difference matrix, and FC value matrix into an existing pitting corrosion database.

[0007] In addition, according to the method for quickly constructing an electric field fingerprint technology database of the present invention, the following additional technical features may also be included: In some of the embodiments, the method further includes: repeating steps S4 - S6 in a traversing manner so that data under all parameters are stored in the pitting database.

[0008] In some of the embodiments, the method further includes: querying the calculation result under the simulation parameters in the pitting database through the simulation parameters.

[0009] In some of the embodiments, in step S1, confirm the electric field fingerprint monitoring object information, simulation calculation target, requirements, and corrosion defect information included, and calculate the electric field distribution information of the monitoring piece with pitting according to the monitoring object information, simulation calculation target, requirements, and corrosion defect information included.

[0010] In some of the embodiments, step S2 includes: S21. System construction: Determine the programming language, multi - physical - field simulation calculation software, and database; S22. Monitoring piece model parameter setting, including the size and material of the monitoring piece; S23. Pitting parameter setting: Set the morphological parameters when pitting occurs on the monitoring piece, including pitting coordinate information and morphological parameter information; S24. Physical - field parameter setting: Add physical - field parameters of the simulation model, apply direct current to both ends of the monitoring piece, and establish a simulation calculation model of the monitoring piece.

[0011] In some of the embodiments, the morphological parameter information in step S23 includes the pitting radius and the pitting depth.

[0012] In some of the embodiments, step S3 includes: Calculation of the model without pitting: Select a single parameter from the simulation parameters of the monitoring piece as the parameter used in this calculation, and calculate the electric field distribution information of the monitoring piece model without pitting under the single parameter; Calculation of the model with pitting: Use the same parameters as those in the calculation of the model without pitting, and calculate the electric field distribution information of the monitoring piece model with pitting under the parameter.

[0013] In some of the embodiments, step S4 includes: S41. Construct an electrode matrix: Set the electrode matrix parameters of the monitoring piece model, obtain the electrode coordinate information under different electrode matrix arrangements, and form an electrode matrix; S42. Construct a potential matrix: According to the obtained electrode coordinate information, extract the potential information of the sampling points included in the electrode matrix to obtain a potential matrix.

[0014] In some of these embodiments, the content of step S5 includes: According to the potential matrix, calculate the potential difference between any two adjacent electrodes in the case where the monitoring member is not corroded and pitting occurs, to obtain an initial potential difference matrix and an acquired potential difference matrix including all electrode sites; Calculate an FC value matrix based on the acquired potential difference matrix and the initial potential difference matrix; Wherein, the FC value is the ratio of the voltage values in the two cases of non-corrosion and pitting occurrence.

[0015] The calculation method of a single FC value is the ratio of the single potential difference measured by a pair of electrodes at the moment of pitting occurrence (time t) to the moment of non-pitting occurrence (time t0).

[0016] An embodiment of the present invention also provides a device for quickly constructing an electric field fingerprint technology database, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to implement the steps of the method for quickly constructing an electric field fingerprint technology database as described in any one of the above.

[0017] Compared with the prior art, the present invention has at least the following beneficial effects: In the embodiment of the present invention, the provided method for quickly constructing an electric field fingerprint technology database can, through the program-controlled model parameters, call a commercial simulation software and connect to the database, realize the combined solution of different parameter ranges of a single model, and also realize the combined solution of different parameters of different models, and realize the calculation and storage of the simulation results. The solution and application are very convenient and fast, and can be widely adapted to the simulation cases where the calculation parameters of the model are variable and multiple models cooperate for calculation, and realize the establishment of a database of calculation results of multiple model parameters of the electric field fingerprint technology.

[0018] The device for quickly constructing an electric field fingerprint technology database of the present invention can implement the method for quickly constructing an electric field fingerprint technology database as described above, and thus has at least all the features and advantages of the method for quickly constructing an electric field fingerprint technology database as described above, which will not be elaborated here. The additional aspects and advantages of the present invention will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flowchart of the method for quickly constructing an electric field fingerprint technology database disclosed in an embodiment of the present invention; Figure 2 It is a schematic diagram of the model parameter setting interface of the method for quickly constructing an electric field fingerprint technology database disclosed in an embodiment of the present invention; Figure 3Schematic diagram of the electrode matrix setting interface for the method of quickly constructing an electric field fingerprint technology database disclosed in an embodiment of the present invention; Figure 4 Schematic diagram of the data query interface for the method of quickly constructing an electric field fingerprint technology database disclosed in an embodiment of the present invention. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Next, the embodiments of the present invention will be described in detail in conjunction with the accompanying drawings through specific embodiments and their application scenarios.

[0022] Please refer to Figure 1 As shown, in some embodiments of the present invention, a method for quickly constructing an electric field fingerprint technology database is provided. The monitoring object targeted by this method is an array electrode corrosion component, that is, its signal acquisition electrodes are several and arranged in an array, and are fixedly arranged on the surface of the component to be corroded, such as the surface of a straight pipeline with pitting corrosion.

[0023] The method includes the following steps: Step 1, Simulation calculation requirement analysis: Calculate the electric field distribution information of the monitoring component with pitting corrosion.

[0024] In this step, it is necessary to clarify the monitoring object information of the electric field fingerprint technology, confirm the simulation calculation objectives, requirements, and the included corrosion defect information. The monitoring object information includes the geometric parameters of the pipeline (pipe diameter, wall thickness, material), anti-corrosion layer parameters (thickness, resistivity), soil environment parameters (conductivity, water content), etc. The simulation calculation objectives and requirements include the accuracy of the simulation, boundary conditions (such as the applied current), calculation methods (such as the finite element method), etc. The corrosion defect information includes the geometric characteristics of pitting corrosion (size, depth, location), the electrical characteristics of the corrosion products (resistivity), etc. According to the determined information, the electric field distribution information of the monitoring component with pitting corrosion (such as a straight pipeline) is calculated.

[0025] Simulate the detection of a straight pipeline with pitting corrosion by the electric field fingerprint non-destructive testing technology, including the detection of the external surface electric field of the pipeline without corrosion and with pitting corrosion. The simulation principle is to apply a constant current at both ends of the pipeline, deploy electrodes on the external surface of the pipeline, and measure the voltage value between two adjacent electrodes, that is, to reflect the internal defect distribution of the pipeline through the voltage measurement on the external surface.

[0026] Step 2: Setting parameters for the simulation calculation model: Construct a simulation calculation program and set model parameters (such as pipeline parameters), pitting parameters, and physical field parameters.

[0027] The simulation model can be pipelines, flat plates, elbows, etc., and model defects include uniform corrosion, pitting, and cracks, etc. The simulation model parameters include geometric parameters, mesh parameters, material parameters, physical field parameters, and coordinate parameters, etc. The simulation model parameters are a set of different calculation parameters, which can be the uniform distribution calculation of a single parameter or the full combination of different values of multiple parameters. Step 2 includes the following steps: Step 2.1: System construction: Select programming languages (MATLAB, Java, etc.), multi-physics field simulation calculation software (COMSOL, etc.), and databases (MySQL, etc.).

[0028] Step 2.2: Pipeline parameter setting: Set the pipeline simulation model parameters, including pipeline length, outer diameter, wall thickness, material, etc.

[0029] Step 2.3: Pitting parameter setting: Set the morphology parameters when pitting occurs in the pipeline, including pitting coordinate information and morphology parameter information, where the morphology parameter information includes pitting radius and pitting depth.

[0030] Step 2.4: Physical field parameter setting: Add the physical field parameters of the simulation model, apply direct current to both ends of the pipeline, and establish a pipeline simulation calculation model.

[0031] An example of the development and simulation calculation of the present invention is as Figure 2 shown.

[0032] Step 3: Calculation of the simulation calculation model: Calculate the electric field distribution information of the pipeline without pitting and with pitting under a single parameter.

[0033] For the set model parameters, perform calculations according to the set parameters to obtain the electric field distribution information of the simulation model. Step 3 includes the following steps: Step 3.1: Calculation of the pipeline model without pitting: Select a single parameter in the pipeline setting parameter array as the pipeline setting parameter, and calculate the electric field distribution information of the model under a single pipeline parameter.

[0034] Step 3.2: Calculation of the pipeline model with pitting: Calculate the pipeline model with pitting under the same set parameters as in Step 3.1.

[0035] Step 4: Extraction of potential information of the simulation model: According to the set electrode matrix parameters, construct an electric field data extraction coordinate matrix, and extract the potential information included in the coordinates to construct a collected potential matrix. Specifically, the voltage values of the outer surface electrode array of the pipeline model are extracted. An example of the extraction of the present invention is as Figure 3 shown.

[0036] In this step, set the data extraction coordinate information. The coordinate information is a two-dimensional matrix, which can be single coordinate information or a combination of multiple coordinate information, including the coordinate information of each acquisition electrode under different electrode layout schemes, and extract the potential values of the set coordinate information points. Step 4 includes the following steps: Step 4.1: Construct an electrode coordinate matrix: Set the electrode matrix parameters on the outer surface of the pipeline model, including the array dimension and the array spacing. According to the set pipeline parameters and electrode matrix information, calculate the coordinate information of the acquisition electrodes under different electrode matrix arrangements. The electrode matrix parameters can be a combination of multiple parameters to achieve the acquisition of potential information under different electrode arrangement schemes.

[0037] Taking i the j row , where x , y and z are the coordinate information of the acquisition electrodes.

[0038] Step 4.2: Construct an acquisition potential matrix: According to the above-extracted coordinate information, extract the potential information of the acquisition electrodes included in the electrode matrix and construct an acquisition potential matrix: , where p ij is the potential value of the i th row and j th column.

[0039] Step 5, Calculate data post-processing: According to the above acquisition potential matrix, construct an initial potential difference matrix and an acquisition potential difference matrix respectively, and calculate the FC value matrix.

[0040] For the potential information included in the above-extracted coordinate information, calculate the potential difference between adjacent coordinates, construct an acquisition potential difference matrix, and further calculate the acquisition FC value matrix according to the acquisition potential difference matrix and the initial potential difference matrix. The FC value is the ratio of the voltage value acquired by the electrode matrix on the outer surface of the uncorroded pipeline to the voltage value acquired by the electrode array on the outer surface of the pipeline with pitting corrosion. Step 5 includes the following steps: Step 5.1: Construct an acquisition potential difference matrix: According to the above acquisition potential matrix, calculate the potential difference between adjacent coordinates and construct an acquisition potential difference matrix: , where v mn is the potential difference matrix m thn Potential difference of the column

[0041] Step 5.2: Construct the initial potential difference matrix: In the same way as the above steps, construct the potential matrix of the straight pipeline without pitting, and then construct the initial potential difference matrix: , where v0 mn is the potential difference of the m th row and the n th column of the initial potential difference matrix.

[0042] Step 5.3: Construct the matrix for calculating the FC value: According to the above-collected potential difference matrix and the initial potential difference matrix, calculate the matrix for collecting the FC value: , where fc mn is the FC value of the m th row and the n th column of the FC value matrix.

[0043] Step 6. Post-processing data storage: Insert the model parameters, potential difference matrix, and FC value matrix into the established pipeline pitting database.

[0044] Store the model results under each calculated parameter and the potential difference matrix and FC value matrix obtained from the previous processing, where the calculated parameters of different models in the database are used as the composite primary key.

[0045] Insert the calculation results of the simulation model into the established pipeline pitting database table, including pipeline parameters, pitting morphology parameters, and the voltage values collected by the electrode array and the electric field fingerprint feature signal FC calculated by data preprocessing.

[0046] Step 7. Full-parameter simulation calculation: Traverse all the set parameters of the model to complete the calculation and data storage of all the set parameter models. Specifically: According to the set calculation parameters, repeat the above steps 3 to 6 to ensure that all the set parameters of the model are traversed, and complete the simulation calculation, data post-processing, and storage of all the set parameters.

[0047] Step 8. Query of simulation calculation results: The system provides a method for querying the database table, and queries the calculation results of the simulation model under the calculation parameters of the model by selecting the calculation parameters in the database. An example result of the present invention is as shown in Figure 4 .

[0048] For the parts not described in detail in the present invention, reference can be made to the prior art, or they are well-known technologies to those skilled in the art. This embodiment does not make any limitations in this regard and will not be described in detail here.

[0049] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative rather than restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit of the present invention and the scope protected by the claims, and all of them fall within the protection scope of the present invention.

Claims

1. A method for quickly constructing an electric field fingerprint technology database, characterized in that: The method comprises: S1. Conduct simulation demand analysis, including calculating the electric field distribution information of the pitting monitoring component; S2. Setting simulation parameters and establishing a simulation calculation model for monitoring components; S3, performing simulation calculation: according to the set simulation parameters, calculating the electric field distribution information of the model with and without pitting corrosion under all single parameters; S4, extracting the potential information of the simulation model to construct a potential matrix: constructing an electric field data extraction coordinate matrix according to preset electrode matrix parameters, and extracting the potential information corresponding to each coordinate; S5, data post-processing: constructing an initial potential difference matrix and a collection potential difference matrix according to the potential matrix, and then calculating and obtaining an FC value matrix; S6. Data storage: insert the aforementioned simulation parameters, potential difference matrix and FC value matrix into the existing pitting database.

2. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: The method further comprises: repeating steps S4-S6 in a traversal manner, so that data under all parameters are stored in the pitting database.

3. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: The method further comprises: querying the calculation results under the simulation parameters in the pitting database through the simulation parameters.

4. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: In step S1, the electric field fingerprint monitoring object information, simulation calculation targets, requirements and included corrosion defect information are confirmed, and the electric field distribution information of the pitting monitoring part is calculated based on the monitoring object information, simulation calculation targets, requirements and included corrosion defect information.

5. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: Step S2 includes: S21, system construction: determine the programming language, multi-physics field simulation software and database; S22, monitoring component model parameter setting, including monitoring component size and material; S23, pitting parameter setting: setting the morphological parameters of the monitored part when pitting occurs, including pitting coordinate information and morphological parameter information; S24. Physical field parameter setting: add simulation model physical field parameters, apply direct current to both ends of the monitoring component, and establish a simulation calculation model for the monitoring component.

6. The method for quickly constructing an electric field fingerprint technology database according to claim 5, characterized in that: The morphology parameter information in step S23 includes pitting radius and pitting depth.

7. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: Step S3 includes: Calculation of the model without pitting corrosion: select a single parameter among the simulation parameters of the monitoring component as the parameter used in this calculation, and calculate the electric field distribution information of the monitoring component model without pitting corrosion under the single parameter; Calculation of model with pitting corrosion: Use the same parameters as those in the calculation of model without pitting corrosion to calculate the electric field distribution information of the monitoring component model with pitting corrosion under these parameters.

8. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: Step S4 includes: S41, constructing an electrode matrix: setting the monitoring component model electrode matrix parameters, obtaining electrode coordinate information under different electrode matrix arrangements, and forming an electrode matrix; S42, constructing a potential matrix: based on the obtained electrode coordinate information, extracting the potential information of the sampling points contained in the electrode matrix to obtain a potential matrix.

9. The method for quickly constructing an electric field fingerprint technology database according to claim 1, characterized in that: The content of step S5 includes: According to the potential matrix, the potential difference between any two adjacent electrodes when the monitored component is not corroded and when pitting occurs is calculated to obtain an initial potential difference matrix and a collection potential difference matrix containing all electrode sites; According to the collected potential difference matrix and the initial potential difference matrix, the FC value matrix is ​​calculated; Among them, the FC value is the ratio of the voltage values ​​in the two cases of no corrosion and pitting corrosion.

10. A device for quickly building an electric field fingerprint technology database, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for rapidly constructing an electric field fingerprint technology database as described in any one of claims 1 to 9.

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