Oil and gas pipeline repair simulation analysis method and system based on detection equipment

Abstract

The application discloses an oil and gas pipeline repair simulation analysis method and system based on detection equipment, relates to the technical field of oil and gas pipeline data analysis, and comprises the following steps: monitoring an oil and gas pipeline based on detection equipment, and acquiring physical parameter data of the oil and gas pipeline; the application acquires physical parameter data through monitoring of the oil and gas pipeline, establishes a historical repair database based on historical data marking repair time, divides the database according to the historical repair database, establishes a repair case model in combination with a repair scheme, outputs a repair strategy, formulates a reasonable and effective repair strategy for defects of the oil and gas pipeline, performs simulation repair judgment to generate a preliminary evaluation scheme sheet, preliminarily evaluates the sheet and types of defects of the oil and gas pipeline, performs effect evaluation according to preset evaluation indexes, compares the evaluation value of the simulated repair oil and gas pipeline with a preset index threshold, generates a deviation value and performs traceability analysis and dynamic correction, and dynamically adjusts and optimizes the scheme according to the analysis result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas pipeline data analysis, and particularly relates to an oil and gas pipeline repair simulation analysis method and system based on detection equipment. BACKGROUND

[0002] The detection equipment is used to obtain accurate state information of the oil and gas pipeline, and is the basis of the whole simulation. The oil and gas pipeline, as a key infrastructure for energy transportation, plays an important role in the energy supply system of modern society. With the long-term operation of the oil and gas pipeline, it is inevitably affected by various factors such as changes in geological conditions, erosion of transportation medium, external damage, etc. The pipeline will inevitably have various damages such as corrosion, cracks and perforation problems. Oil and gas pipeline repair refers to a series of technical measures taken to restore the normal operation function of the running oil and gas pipeline and ensure safe and reliable transportation of oil and gas. Numerical simulation technology has been widely used in the engineering field. Related data of the oil and gas pipeline is obtained by using various detection equipment, and the pipeline repair process and effect are simulated by computer simulation technology.

[0003] In the prior art, in the oil and gas pipeline repair work, it has become a common means to construct a digital twin and simulate a repair scheme by using multi-source detection data. However, the traditional digital twin construction may have the problem of insufficient precision, and the repair scheme often depends on artificial experience, lacks intelligence, and the analysis after simulation is often not comprehensive and in-depth, and there is a lack of a systematic method to evaluate the repair effect and dynamically correct the repair scheme according to the evaluation result, resulting in the problem of poor repair effect in the actual repair process.

[0004] In view of the above technical defects, a solution is proposed. SUMMARY

[0005] The purpose of the present application is to comprehensively evaluate and optimize various repair schemes before the actual repair work is carried out through the whole-process simulation analysis from data acquisition, model construction, real-time analysis to evaluation and analysis.

[0006] In order to achieve the above purpose, the present application adopts the following technical scheme: an oil and gas pipeline repair simulation analysis method based on detection equipment, comprising the following steps:

[0007] Step 1: monitoring the oil and gas pipeline based on the detection equipment to obtain physical parameter data of the oil and gas pipeline, labeling the repair time based on the historical physical parameter data of the oil and gas pipeline to obtain historical repair case data, and establishing a historical repair database;

[0008] Step two: based on the historical repair database, the defect points, defect positions and defect degrees of the oil and gas pipeline are obtained and set as the division basis points, the historical repair database is divided to generate the defect types of the oil and gas pipeline, and the repair case model of the oil and gas pipeline is established by combining the repair scheme in the historical repair database to output the repair strategy of the oil and gas pipeline;

[0009] Step three: the physical parameter data of the real-time oil and gas pipeline is obtained and input into the repair case model of the oil and gas pipeline to output the repair strategy of the real-time oil and gas pipeline, and the simulation repair judgment is performed according to the repair strategy of the real-time oil and gas pipeline to generate a simulation repair preliminary evaluation scheme sheet;

[0010] Step four: based on the simulation repair preliminary evaluation sheet, the oil and gas pipeline effect evaluation is performed according to the preset evaluation indexes, the simulation repair oil and gas pipeline evaluation values of each evaluation index are obtained, and the simulation repair oil and gas pipeline evaluation values are sorted according to the characteristics of different repair schemes;

[0011] Step five: the simulation repair oil and gas pipeline evaluation values are compared with the preset index threshold values to generate index deviation values, the deviation source analysis is performed based on the deviation values to obtain the deviation matching result, and the dynamic analysis correction is performed based on the deviation matching analysis result.

[0012] Further, the step one further includes constructing a dynamic knowledge graph composed of physical parameter nodes, repair time nodes, repair method nodes and environmental factor nodes of the oil and gas pipeline;

[0013] Physical parameter node: pressure, temperature, strain, acoustic vibration, including real-time value and threshold value;

[0014] Repair event node: fault type is leakage, corrosion, deformation, occurrence time, location, leakage amount;

[0015] Repair method node: welding, replacement, material, time length, parameter recovery after repair;

[0016] Environmental factor node: soil property, temperature, rainfall and external event;

[0017] Through the regional site of the oil and gas pipeline, the sensor deployment and data acquisition of the oil and gas pipeline are performed, the data are acquired and preprocessed according to the installed sensor equipment, the sensor real-time data are mapped to the physical parameter nodes of the knowledge graph through the edge computing node, and the attributes thereof are updated;

[0018] The "repair event node" is triggered through abnormality detection, the abnormal events in the operation process of the oil and gas pipeline are analyzed according to time series, new nodes are automatically created and associated with relevant physical parameters, and the abnormal threshold value is dynamically adjusted in combination with historical data and environmental factors.

[0019] According to the maintenance time node and the environmental data, a time environmental causal diagram is constructed, and the causal relationship is verified through a statistical method, an initial starting abnormal time point and an ending time point are marked in abnormal monitoring, and a repair completion time is marked through repair equipment Internet of Things data.

[0020] Further, the defect type of the oil and gas pipeline is generated, specifically including the following:

[0021] S100, a historical repair database is acquired, and a defect point, an oil and gas pipeline position and a defect degree are extracted from the historical repair database and set as a division basis point to divide the historical repair database;

[0022] S101, the defect point is a defect position of the oil and gas pipeline, the oil and gas pipeline position is a pipeline paragraph coordinate point, and the defect degree is a defect length, an area and a deformation amount;

[0023] S102, the repair defect event in the historical repair database is divided into types by a set type defect threshold value, including a small area defect, a large area defect and a moderate defect, and is classified into three defect type repair defect events.

[0024] Further, the repair case model of the oil and gas pipeline is established, specifically including the following:

[0025] S200, a unified data pedestal is initially constructed, a defect type of the oil and gas pipeline and a repair scheme adopted for the corresponding defect type are acquired as a sample database, a repair case model framework of the oil and gas pipeline is constructed based on a convolution network, and the sample database is integrated, including an input layer, a processing layer and an output layer;

[0026] S201, the input layer: oil and gas pipeline parameter data collected by a sensor is inputted;

[0027] The processing layer: the oil and gas pipeline parameter data is mapped to a pre-generated defect type, a matching defect type is obtained through similarity calculation, and a corresponding repair strategy is obtained through the defect type;

[0028] The output layer: the corresponding repair strategy is obtained as an output feature vector;

[0029] S202, the repair strategy is a repair material, a repair technology and an expected time.

[0030] Further, a simulation repair judgment is performed according to a real-time oil and gas pipeline repair strategy to generate a simulation repair preliminary evaluation scheme sheet, specifically including the following:

[0031] S300, obtain the physical parameter data of the real-time oil and gas pipeline, input into the repair case model of the oil and gas pipeline, output the repair strategy of the real-time oil and gas pipeline, analyze the repair strategy of the real-time oil and gas pipeline, and analyze the confidence of each repair strategy;

[0032] S301, analyze the repair technology, cost and time of each repair strategy to obtain the recommended index of each repair strategy;

[0033] S302, according to the recommended index of each repair strategy, select a reasonable repair strategy for integrated analysis to obtain a simulated repair preliminary evaluation sheet.

[0034] Further, according to the preset evaluation index, the effect of the oil and gas pipeline is evaluated based on the simulated repair preliminary evaluation sheet, combined with the defect type of the oil and gas pipeline, according to the preset evaluation index, the effect of the oil and gas pipeline is evaluated, the simulated repair oil and gas pipeline evaluation value of each evaluation index is obtained, and according to the simulated repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted:

[0035] S400, extract feature vectors from the simulated repair scheme sheet: defect type, oil and gas pipeline position, oil and gas pipeline defect size, repair technology, material requirement, equipment list and post-repair parameters and leakage probability, and perform data linear standardization processing;

[0036] S401, quantitatively score each evaluation index, and the evaluation index is the post-repair parameter recovery rate, single repair cost and post-repair leakage probability;

[0037] S402, based on the score and weight of each single index, calculate the comprehensive score of the repair scheme,

[0038] ;

[0039] In the above formula, is the post-repair parameter recovery rate of the oil and gas pipeline, is the single repair cost, is the post-repair leakage probability;

[0040] According to the simulated repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted.

[0041] Further, based on the deviation matching analysis result, dynamic analysis correction is carried out, and the specific steps are as follows:

[0042] S500, obtain the simulated repair oil and gas pipeline evaluation value, and compare it with the preset index threshold value to generate each index deviation value;

[0043] S501, based on the deviation value, deviation traceability analysis is performed to obtain a deviation matching result, and the contribution degree G of each factor to the deviation is reversely deduced and analyzed according to the deviation index;

[0044] ;

[0045] In the above formula, is a partial derivative term of ; is a factor feature vector in the repair scheme;

[0046] S502, based on the contribution degree of each evaluation index, the repair strategy of the oil and gas pipeline is adjusted, the effect of the corrected scheme is verified, and the corrected scheme is included in the historical repair case library.

[0047] The oil and gas pipeline repair simulation analysis system based on the detection equipment comprises the following modules:

[0048] The data acquisition module monitors the oil and gas pipeline based on the detection equipment, acquires the physical parameter data of the oil and gas pipeline, labels the repair time based on the historical physical parameter data of the oil and gas pipeline to obtain historical repair case data, and establishes a historical repair database;

[0049] The model construction module acquires the defect points, defect positions and defect degrees of the oil and gas pipeline based on the historical repair database, and sets them as division points to divide the historical repair database, to generate the defect types of the oil and gas pipeline, and combine the repair scheme in the historical repair database to establish a repair case model of the oil and gas pipeline, to output the repair strategy of the oil and gas pipeline;

[0050] The real-time analysis module acquires the physical parameter data of the real-time oil and gas pipeline, inputs the data into the repair case model of the oil and gas pipeline, to output the repair strategy of the real-time oil and gas pipeline, and judges the simulation repair according to the repair strategy of the real-time oil and gas pipeline, to generate a simulation repair preliminary evaluation scheme sheet;

[0051] The repair evaluation module combines the defect types of the oil and gas pipeline, and evaluates the effect of the oil and gas pipeline according to the preset evaluation index, to obtain the simulation repair oil and gas pipeline evaluation value of each evaluation index, and sorts the different repair schemes according to the characteristics of the repair schemes according to the simulation repair oil and gas pipeline evaluation value;

[0052] The repair analysis module compares the simulation repair oil and gas pipeline evaluation value with the preset index threshold value, generates the index deviation value, performs deviation traceability analysis based on the deviation value to obtain the deviation matching result, and performs dynamic analysis and correction based on the deviation matching analysis result.

[0053] As described above, due to the adoption of the above technical solutions, the present application has the following advantages:

[0054] The oil and gas pipeline repair simulation analysis method and system based on detection equipment, by monitoring the oil and gas pipeline to obtain physical parameter data, and based on the historical data marking repair time to establish a historical repair database, according to the defect point, position and degree information in the historical repair database, the database is divided, the defect type is generated, and the repair case model is established combined with the repair scheme, and the repair strategy is output, which can more accurately formulate reasonable and effective repair strategy for different types of oil and gas pipeline defects, improve the pertinence and scientificity of the repair scheme, simulate repair to generate a preliminary evaluation scheme sheet, the preliminary evaluation sheet and the oil and gas pipeline defect type, according to the preset evaluation index to evaluate the effect, by comparing the simulation repair oil and gas pipeline evaluation value with the preset index threshold, the deviation value is generated and the traceability analysis and dynamic correction are carried out, and the scheme is dynamically adjusted and optimized according to the analysis result, and the level of oil and gas pipeline repair work is continuously improved. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 The method flow structure schematic diagram of the present application is shown;

[0056] Figure 2 The system execution overall structure schematic diagram of the present application is shown. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0058] Embodiment one:

[0059] As shown in the figure, the oil and gas pipeline repair simulation analysis method based on detection equipment includes the following steps: Figures 1-2 Step one: based on the detection equipment, the oil and gas pipeline is monitored to obtain the physical parameter data of the oil and gas pipeline, based on the historical physical parameter data of the oil and gas pipeline, the repair time is marked to obtain the historical repair case data, and the historical repair database is established;

[0060] Step two: based on the historical repair database, the defect point, defect position and defect degree of the oil and gas pipeline are obtained, and are set as the division point to divide the historical repair database, to generate the defect type of the oil and gas pipeline, and combined with the repair scheme in the historical repair database, the repair case model of the oil and gas pipeline is established to output the repair strategy of the oil and gas pipeline;

[0061] Step three: according to the defect type of the oil and gas pipeline, the repair strategy of the oil and gas pipeline is output, and the repair strategy of the oil and gas pipeline is simulated to generate a preliminary evaluation scheme sheet, the preliminary evaluation sheet and the oil and gas pipeline defect type, according to the preset evaluation index to evaluate the effect, by comparing the simulation repair oil and gas pipeline evaluation value with the preset index threshold, the deviation value is generated and the traceability analysis and dynamic correction are carried out, and the scheme is dynamically adjusted and optimized according to the analysis result, and the level of oil and gas pipeline repair work is continuously improved.

[0062] Step three: Obtain the real-time physical parameter data of the oil and gas pipeline, input into the repair case model of the oil and gas pipeline, output the repair strategy of the real-time oil and gas pipeline, and judge the simulated repair according to the repair strategy of the real-time oil and gas pipeline to generate a simulated repair preliminary evaluation scheme sheet;

[0063] Step four: Based on the simulated repair preliminary evaluation sheet, combining the oil and gas pipeline defect type, according to the preset evaluation index, the effect of the oil and gas pipeline is evaluated, the simulated repair oil and gas pipeline evaluation value of each evaluation index is obtained, and according to the simulated repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted;

[0064] Step five: Compare the simulated repair oil and gas pipeline evaluation value with the preset index threshold value to generate index deviation value, and perform deviation source analysis based on the deviation value to obtain deviation matching result, and perform dynamic analysis correction based on the deviation matching analysis result.

[0065] The step one further includes constructing a dynamic knowledge graph composed of physical parameter nodes, maintenance time nodes, repair method nodes and environmental factor nodes of the oil and gas pipeline;

[0066] Physical parameter node: pressure, temperature, strain, acoustic vibration, including real-time value and threshold value;

[0067] Maintenance event node: fault type is leakage, corrosion, deformation, occurrence time, location, leakage amount;

[0068] Repair method node: welding, replacement, material, time length, repair parameter recovery condition after repair;

[0069] Environmental factor node: soil property, temperature, rainfall and external event;

[0070] Through the regional site of the oil and gas pipeline, the sensor deployment and data collection of the oil and gas pipeline are performed, the data is acquired and preprocessed according to the installed sensor equipment, the sensor real-time data is mapped to the physical parameter node of the knowledge graph through the edge computing node, and the attribute is updated;

[0071] The "maintenance event node" is triggered through abnormal detection, the abnormal events in the operation process of the oil and gas pipeline are analyzed according to time sequence, a new node is automatically created and related physical parameters are associated, historical data and environmental factors are combined, and the abnormal threshold value is dynamically adjusted;

[0072] According to the maintenance time node and environmental data, a time environmental causal diagram is constructed, and the causal relationship is verified by statistical method, the initial starting abnormal time point and ending time point are marked during abnormal monitoring, and the repair completion time is marked through the Internet of Things data of repair equipment.

[0073] The defect type of the oil and gas pipeline is generated, and specifically includes the following:

[0074] S100, a historical repair database is acquired, and a defect point, an oil and gas pipeline position, and a defect degree are extracted from the historical repair database and set as a division basis point to divide the historical repair database;

[0075] S101, the defect point is a defect position of the oil and gas pipeline, the oil and gas pipeline position is a pipeline paragraph coordinate point, and the defect degree is a defect length, an area, and a deformation amount;

[0076] S102, a repair defect event in the historical repair database is divided into types by using a set type defect threshold value, including a small area defect, a large area defect, and a moderate defect, and is classified into three types of repair defect events.

[0077] A repair case model of the oil and gas pipeline is established, and specifically includes the following:

[0078] S200, a unified data base is initially constructed, a defect type of the oil and gas pipeline and a repair scheme adopted for the corresponding defect type are acquired as a sample database, a repair case model framework of the oil and gas pipeline is constructed based on a convolution network, and the sample database is integrated, including an input layer, a processing layer, and an output layer;

[0079] S201, the input layer: oil and gas pipeline parameter data collected by a sensor is inputted;

[0080] The processing layer: the oil and gas pipeline parameter data is mapped to a pre-generated defect type, a matching defect type is obtained by similarity calculation, and a corresponding repair strategy is obtained by the defect type;

[0081] The output layer: the corresponding repair strategy is obtained as an output feature vector;

[0082] S202, the repair strategy is a repair material, a repair technology, and an expected time.

[0083] A simulated repair judgment is performed according to a real-time oil and gas pipeline repair strategy to generate a simulated repair preliminary evaluation scheme sheet, and specifically includes the following:

[0084] S300, physical parameter data of a real-time oil and gas pipeline is acquired and inputted into a repair case model of the oil and gas pipeline to output a repair strategy of the real-time oil and gas pipeline, the repair strategy of the real-time oil and gas pipeline is analyzed, and a confidence degree of each repair strategy is analyzed;

[0085] S301, a repair technology, a cost, and a time of each repair strategy are analyzed to obtain a recommendation index of each repair strategy;

[0086] S302, according to the recommended index of each repair strategy, a reasonable repair strategy is selected for integrated analysis to obtain a simulation repair preliminary evaluation form.

[0087] According to the preset evaluation index, the effect of the oil and gas pipeline is evaluated based on the simulation repair preliminary evaluation form, combined with the defect type of the oil and gas pipeline, according to the preset evaluation index, the effect of the oil and gas pipeline is evaluated, and the simulation repair oil and gas pipeline evaluation value of each evaluation index is obtained, according to the simulation repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted:

[0088] S400, feature vectors are extracted from the simulation repair scheme form: defect type, oil and gas pipeline location, oil and gas pipeline defect size, repair technology, material requirement, equipment list, and post-repair parameters and leakage probability, and data linear standardization processing is performed;

[0089] S401, each evaluation index is quantitatively scored, and the evaluation index is the post-repair parameter recovery rate, the single repair cost and the post-repair leakage probability;

[0090] S402, based on the score and weight of each single index, the comprehensive score of the repair scheme is calculated,

[0091] ;

[0092] In the above formula, is the post-repair parameter recovery rate of the oil and gas pipeline, is the single repair cost, is the post-repair leakage probability;

[0093] According to the simulation repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted.

[0094] Based on the deviation matching analysis result, dynamic analysis correction is performed, and the specific steps are as follows:

[0095] S500, the simulation repair oil and gas pipeline evaluation value is obtained, and it is compared with the preset threshold value of each index to generate an index deviation value;

[0096] S501, based on the deviation value, deviation traceability analysis is performed to obtain a deviation matching result, and the contribution degree G of each factor to the deviation is inversely deduced and analyzed according to the deviation index;

[0097] ;

[0098] In the above formula, is the partial derivative term of is the factor feature vector in the repair scheme;

[0099] ​S502, based on the contribution of each evaluation index, the repair strategy of the oil and gas pipeline is adjusted, the effect of the modified scheme is verified, and the modified scheme is included in the historical repair case library.

[0100] Embodiment two:

[0101] As shown in the oil and gas pipeline repair simulation analysis system based on the detection equipment, comprising the following modules: Figure 2 The data acquisition module monitors the oil and gas pipeline based on the detection equipment, acquires the physical parameter data of the oil and gas pipeline, labels the repair time based on the historical physical parameter data of the oil and gas pipeline to obtain the historical repair case data, and establishes a historical repair database;

[0102] The model construction module acquires the defect points, defect positions and defect degrees of the oil and gas pipeline based on the historical repair database, and sets them as the division basis to divide the historical repair database to generate the defect types of the oil and gas pipeline, and combines the repair scheme in the historical repair database to establish a repair case model of the oil and gas pipeline to output the repair strategy of the oil and gas pipeline;

[0103] The real-time analysis module acquires the real-time physical parameter data of the oil and gas pipeline, inputs the real-time physical parameter data into the repair case model of the oil and gas pipeline to output the repair strategy of the real-time oil and gas pipeline, and judges the simulation repair according to the repair strategy of the real-time oil and gas pipeline to generate a simulation repair preliminary evaluation scheme sheet;

[0104] The repair evaluation module combines the defect types of the oil and gas pipeline, evaluates the effect of the oil and gas pipeline according to the preset evaluation index based on the simulation repair preliminary evaluation sheet, obtains the simulation repair oil and gas pipeline evaluation value of each evaluation index, and sorts the different repair schemes according to the characteristics of the different repair schemes according to the simulation repair oil and gas pipeline evaluation value.

[0105] The repair analysis module compares the simulation repair oil and gas pipeline evaluation value with the preset threshold value of each index to generate an index deviation value, performs deviation traceability analysis based on the deviation value to obtain a deviation matching result, and performs dynamic analysis and correction based on the deviation matching analysis result.

[0106] The size of the interval and the threshold is set for easy comparison. The size of the threshold depends on the number of sample data and the base number set by the person skilled in the art for each group of sample data. As long as it does not affect the proportional relationship between the parameters and the quantized values.

[0107] The above formulas are dimensionless values, and the formulas are obtained by collecting a large amount of data to simulate the most real situation. The preset parameters in the formula are set by the person skilled in the art according to the actual situation;

[0108] The above formulas are dimensionless values, and the formulas are obtained by collecting a large amount of data to simulate the most real situation. The preset parameters in the formula are set by the person skilled in the art according to the actual situation;

[0109] In the two embodiments provided in the present application, it should be understood that the disclosed apparatus and system can be implemented in other manners; for example, the apparatus embodiments described above are merely schematic; for example, the division of the modules is only a logical function division; there can be another division manner for the actual implementation; for example, a plurality of modules or components can be combined or integrated into another system, or some features can be ignored or not executed; in addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the modules can be indirect couplings or communication connections through some interfaces, devices or modules, and can be in electrical, mechanical or other forms;

[0110] The above describes only the preferred embodiments of the present application, but the protection scope of the present application is not limited to this, and any person skilled in the art can make equivalent replacements or changes to the technical solutions and the inventive concept of the present application within the technical scope disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A method for simulation analysis of oil and gas pipeline repair based on detection equipment, characterized in that, Comprise the following steps: Step one: based on the detection equipment for oil and gas pipeline monitoring, obtain the physical parameter data of oil and gas pipeline, based on the historical acquisition of oil and gas pipeline physical parameter data, mark the repair time to get the historical repair case data, and establish the historical repair database; Step two: based on the historical repair database, the defect point, defect position and defect degree of oil and gas pipeline are obtained, and they are set as the division point to divide the historical maintenance database, to generate the defect type of oil and gas pipeline, and combined with the maintenance scheme in the historical maintenance database, the repair case model of oil and gas pipeline is established, and the repair strategy of oil and gas pipeline is output; Step three: the real-time physical parameter data of oil and gas pipeline is obtained, and input into the repair case model of oil and gas pipeline, to output the repair strategy of real-time oil and gas pipeline, and the repair strategy of real-time oil and gas pipeline is simulated to judge, to generate the preliminary evaluation scheme of simulation repair; Step four: based on the preliminary evaluation scheme of simulation repair, combined with the defect type of oil and gas pipeline, the effect evaluation of oil and gas pipeline is carried out according to the preset evaluation index, the evaluation value of simulation repair oil and gas pipeline of each evaluation index is obtained, and the simulation repair oil and gas pipeline evaluation value is sorted according to the characteristics of different repair schemes; Step five: the simulation repair oil and gas pipeline evaluation value is compared with the preset index threshold value, the index deviation value is generated, the deviation source analysis is carried out based on the deviation value, the deviation matching result is obtained, and the dynamic analysis correction is carried out based on the deviation matching result, Wherein, based on the deviation matching result for dynamic analysis correction, the specific steps are as follows: S500, the simulation repair oil and gas pipeline evaluation value is obtained, and it is compared with the preset index threshold value, and the index deviation value is generated; S501, based on the deviation value, the deviation source analysis is carried out, to obtain the deviation matching result, and the contribution degree G of each factor to the deviation is deduced and analyzed reversely; ， In the above equation, is the partial derivative term of is the factor feature vector in the repair solution; S502, based on the contribution degree of each evaluation index, the repair strategy of oil and gas pipeline is adjusted, the effect of the corrected scheme is verified, and the corrected scheme is included in the historical repair case library.

2. The detection equipment based oil and gas pipeline repair simulation analysis method according to claim 1, characterized in that, The step one also includes constructing dynamic knowledge graph, which is composed of physical parameter node, repair time node, repair method node and environmental factor node of oil and gas pipeline; Physical parameter node: pressure, temperature, strain, acoustic vibration, including real-time value and threshold value; Repair time node: fault type is leakage, corrosion, deformation, occurrence time, location, leakage amount; Repair method node: welding, replacement, material, time length, parameter recovery after repair; Environmental factor node: soil property, temperature, rainfall and external event; Through the regional site of oil and gas pipeline, the sensor deployment and data acquisition of oil and gas pipeline are carried out, the data is acquired and pretreated according to the installed sensor equipment, the real-time data of sensor is mapped to the physical parameter node of knowledge graph through edge computing node, and the attribute of physical parameter node is updated; The "maintenance time node" is triggered by anomaly detection, which analyzes the abnormal events in the operation of the oil and gas pipeline according to time series, automatically creates a new node and associates relevant physical parameters, combines historical data and environmental factors, and dynamically adjusts the abnormal threshold; According to the maintenance time node and environmental data, a time environment causal diagram is constructed, and the causal relationship is verified by statistical method. The initial start time point and end time point of the abnormality are marked during the anomaly monitoring, and the repair completion time is marked through the repair equipment Internet of Things data.

3. The detection equipment based oil and gas pipeline repair simulation analysis method according to claim 1, characterized in that, The defect type of the oil and gas pipeline is generated, which specifically includes the following: S100, obtain the historical repair database, extract the defect point, oil and gas pipeline position, and defect degree from the historical repair database, and set it as the division basis point to divide the historical repair database; S101, the defect point is the defect position of the oil and gas pipeline, the oil and gas pipeline position is the coordinate point of the pipeline paragraph, and the defect degree is the defect length, area and deformation amount; S102, the repair defect events in the historical repair database are divided into types according to the set type defect threshold, including small area defect, large area defect, and moderate defect, and are classified into three types of repair defect events.

4. The detection equipment based oil and gas pipeline repair simulation analysis method according to claim 1, characterized in that, The repair case model of the oil and gas pipeline is established, which specifically includes the following: S200, initially construct a unified data base, obtain the defect type of the oil and gas pipeline and the maintenance scheme adopted for the corresponding defect type as a sample database, and construct a repair case model framework of the oil and gas pipeline based on convolution network, integrate the sample database, including input layer, processing layer and output layer; S201, input layer: input the oil and gas pipeline parameter data collected by the sensor; Processing layer: map the oil and gas pipeline parameter data to the pre-generated defect type, calculate the similarity to get the matching defect type, and get the corresponding repair strategy through the defect type; Output layer: the corresponding repair strategy is taken as the output feature vector; S202, the repair strategy is repair material, repair technology and expected time.

5. The detection equipment based oil and gas pipeline repair simulation analysis method according to claim 1, characterized in that, According to the real-time oil and gas pipeline repair strategy, a simulated repair judgment is made to generate a simulated repair preliminary evaluation scheme, which specifically includes the following: S300, obtain the physical parameter data of the real-time oil and gas pipeline, input it into the repair case model of the oil and gas pipeline to output the repair strategy of the real-time oil and gas pipeline, and perform repair analysis on the repair strategy of the real-time oil and gas pipeline to analyze the confidence of each repair strategy; S301, analyze the repair technology, cost and time of each repair strategy to get the recommendation index of each repair strategy; S302, according to the recommendation index of each repair strategy, select a reasonable repair strategy for integrated analysis to get a simulated repair preliminary evaluation scheme.

6. The detection equipment based oil and gas pipeline repair simulation analysis method according to claim 1, characterized in that, Based on the simulated repair preliminary evaluation scheme, combined with the defect type of the oil and gas pipeline, the effect of the oil and gas pipeline is evaluated according to the preset evaluation index to get the simulated repair oil and gas pipeline evaluation value of each evaluation index. According to the simulated repair oil and gas pipeline evaluation value, different repair schemes are sorted according to their characteristics: S400, extract feature vectors from the simulated repair scheme sheet: defect type, oil and gas pipeline location, oil and gas pipeline defect size, repair technology, material requirement, equipment list, and post-repair parameters and leakage probability, and perform linear standardization processing on the data; S401, quantitatively score each evaluation index, and the evaluation index is the post-repair parameter recovery rate, single repair cost and post-repair leakage probability; S402, based on the score and weight of each single index, calculate the comprehensive score of the repair scheme, ， In the above formula, is the parameter recovery rate after oil and gas pipeline repair, is the single repair cost, is the leakage probability after repair; According to the simulated repair oil and gas pipeline evaluation value, sort according to the characteristics of different repair schemes.

7. An oil and gas pipeline repair simulation analysis system based on detection equipment, characterized by, The following modules are included: The data acquisition module is based on the detection equipment for monitoring the oil and gas pipeline to obtain the physical parameter data of the oil and gas pipeline, based on the historical physical parameter data of the oil and gas pipeline, the repair time is labeled to obtain the historical repair case data, and the historical repair database is established; The model construction module is based on the historical repair database, and the defect point, defect position and defect degree of the oil and gas pipeline are obtained, and are set as the division basis point to divide the historical maintenance database, to generate the defect type of the oil and gas pipeline, and combine the maintenance scheme in the historical maintenance database, to establish the repair case model of the oil and gas pipeline, to output the repair strategy of the oil and gas pipeline; The real-time analysis module obtains the real-time physical parameter data of the oil and gas pipeline, inputs the real-time physical parameter data of the oil and gas pipeline into the repair case model of the oil and gas pipeline, and outputs the repair strategy of the real-time oil and gas pipeline. According to the repair strategy of the real-time oil and gas pipeline, simulate the repair to generate a simulated repair preliminary evaluation scheme sheet; The repair evaluation module is based on the simulated repair preliminary evaluation scheme sheet, combined with the defect type of the oil and gas pipeline, according to the preset evaluation index, the effect of the oil and gas pipeline is evaluated, the simulated repair oil and gas pipeline evaluation value of each evaluation index is obtained, and according to the simulated repair oil and gas pipeline evaluation value, the characteristics of different repair schemes are sorted; The repair analysis module compares the simulated repair oil and gas pipeline evaluation value with the preset index threshold value, generates an index deviation value, performs deviation source analysis based on the deviation value to obtain a deviation matching result, and performs dynamic analysis correction based on the deviation matching result, Wherein, based on the deviation matching result for dynamic analysis correction, the specific steps are as follows: S500, obtain the simulated repair oil and gas pipeline evaluation value, and compare it with the preset index threshold value to generate an index deviation value; S501, based on the deviation value, perform deviation source analysis to obtain a deviation matching result, and inversely deduce and analyze the contribution of each factor to the deviation according to the deviation index; ， In the above equation, is the partial derivative term of is the factor feature vector in the repair solution; S502, based on the contribution of each evaluation index, adjust the repair strategy of the oil and gas pipeline, verify the effect of the corrected scheme, and include the corrected scheme in the historical repair database.

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