Pipeline fault processing method and device and computer equipment

Abstract

The invention relates to a pipeline fault processing method and device and computer equipment. The method comprises the following steps: acquiring pipeline detection information and pipeline operation information of each pipeline, and identifying a pipeline abnormality type and pipeline abnormality information of each pipeline through a pipeline abnormality analysis model, thereby generating a first pipeline abnormality adjustment strategy of each pipeline, and performing pipeline abnormality processing on each pipeline, obtaining a pipeline exception processing result and pipeline self-inspection information of each pipeline; and on the basis of the pipeline exception processing result of each pipeline and the pipeline self-inspection information of each pipeline, generating a second pipeline exception adjustment strategy of each pipeline, and on the basis of the second pipeline exception adjustment strategy of each pipeline, performing pipeline exception repair processing on each pipeline to complete a pipeline fault processing task of each pipeline. By adopting the method, the processing accuracy of the pipeline fault can be improved.

Description

Technical Field

[0001] The present application relates to the technical fields of big data analysis and product analysis guidance, and in particular to a pipeline fault processing method, device and computer equipment. Background Art

[0002] In modern urban construction, the fields of pipeline engineering, intelligent control, and fault handling are inseparable and key components. Pipeline engineering primarily involves the planning, design, construction, and maintenance of pipeline systems. Intelligent control, on the other hand, utilizes advanced sensors, data acquisition and processing technologies, and intelligent algorithms to achieve automated monitoring and management of pipeline systems. Fault handling, on the other hand, involves detecting, diagnosing, and resolving pipeline system faults.

[0003] Existing pipeline fault handling methods primarily rely on manual experience. Specifically, when a pipeline failure occurs, professionals use their experience and detected fault symptoms to determine the cause and develop appropriate handling strategies. While this approach can resolve pipeline failures, it is slow and susceptible to human influence, limiting the accuracy of fault handling and resulting in low precision in pipeline fault handling. Summary of the Invention

[0004] Based on this, it is necessary to provide a pipeline failure processing method, device, computer equipment, computer readable storage medium and computer program product to address the above technical problems.

[0005] In a first aspect, the present application provides a method for handling pipeline failures, comprising:

[0006] Obtaining pipeline detection information of each pipeline and pipeline operation information of each pipeline, and identifying the pipeline abnormality type of each pipeline and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model;

[0007] generating a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline, and performing pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy for each pipeline to obtain a pipeline abnormality processing result for each pipeline and pipeline self-inspection information for each pipeline;

[0008] Based on the pipeline abnormality processing results of each pipeline and the pipeline self-inspection information of each pipeline, a second pipeline abnormality adjustment strategy for each pipeline is generated, and based on the second pipeline abnormality adjustment strategy for each pipeline, pipeline abnormality repair processing is performed on each pipeline to complete the pipeline fault processing task for each pipeline.

[0009] Optionally, the identifying the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and the pipeline operation information of each pipeline through a pipeline abnormality analysis model includes:

[0010] Based on the pipeline detection information of each pipeline, identifying pipeline structure abnormality information of each pipeline, and based on the pipeline operation information of each pipeline, identifying pipeline operation abnormality information of each pipeline;

[0011] For each pipeline, based on the pipeline structure abnormality information of the pipeline, a pipeline abnormal area of the pipeline is identified, and based on the pipeline operation abnormality information of the pipeline, pipeline operation data of each pipeline operation type of the pipeline is identified;

[0012] Based on the pipeline abnormal area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, the abnormal type corresponding to the abnormal area of the pipeline, the abnormal degree corresponding to the abnormal area of the pipeline, and the abnormal state corresponding to the abnormal area of the pipeline are identified through a pipeline abnormality analysis model, and the abnormal degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline are used as pipeline abnormality information of the pipeline.

[0013] Optionally, the identifying pipeline structure abnormality information of each pipeline based on the pipeline detection information of each pipeline includes:

[0014] For each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified; based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified using a pipeline structure evaluation strategy;

[0015] Based on the pipeline structure evaluation data of each pipeline area, abnormal pipeline areas are screened, and each of the abnormal pipeline areas is used as pipeline structure abnormality information of the pipeline.

[0016] Optionally, generating a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline includes:

[0017] For each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, query the pipeline abnormality adjustment method adapted to the pipeline;

[0018] Based on the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline, determining the target adjustment parameters of the pipeline abnormality adjustment method through the pipeline abnormality repair network;

[0019] The target adjustment parameter is used to replace the adjustment parameter of the pipeline abnormality adjustment method to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0020] Optionally, performing pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy of each pipeline to obtain a pipeline abnormality processing result of each pipeline and pipeline self-inspection information of each pipeline includes:

[0021] For each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, generate pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline;

[0022] In response to a worker uploading a repair record based on the pipeline manual repair warning information of the pipeline, collecting a manual repair result of the pipeline, and performing pipeline abnormality adjustment processing on the pipeline based on the pipeline abnormality adjustment process of the pipeline to obtain a pipeline abnormality adjustment result of the pipeline;

[0023] Using the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline;

[0024] Through the preset pipeline function self-inspection strategy, the pipeline self-inspection processing is performed on the pipeline to obtain the pipeline operation data corresponding to each pipeline function of the pipeline, and the pipeline operation data corresponding to each pipeline function of the pipeline is used as the pipeline self-inspection information of the pipeline.

[0025] Optionally, generating a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result of each pipeline and the pipeline self-check information of each pipeline includes:

[0026] Based on the manual repair result of the pipeline, identifying the repair fault information of the pipeline, and based on the abnormal adjustment result of the pipeline, identifying the adjustment fault information of the pipeline;

[0027] Based on the pipeline operation data corresponding to each pipeline function of the pipeline, querying the pipeline function database for abnormal pipeline functions of the pipeline;

[0028] generating a new repair strategy for the pipeline and a new adjustment strategy for the pipeline based on the repair fault information of the pipeline and the adjustment fault information of the pipeline, and generating a functional repair strategy for the pipeline through a functional repair network based on the abnormal pipeline function of the pipeline;

[0029] The new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy are used as a second pipeline abnormality adjustment strategy for the pipeline.

[0030] In a second aspect, the present application further provides a pipeline fault processing device, comprising:

[0031] an acquisition module, configured to acquire pipeline detection information of each pipeline and pipeline operation information of each pipeline, and identify the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model;

[0032] a processing module, configured to generate a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline, and perform pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy, to obtain a pipeline abnormality processing result for each pipeline and pipeline self-test information for each pipeline;

[0033] The repair module is configured to generate a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result of each pipeline and the pipeline self-test information of each pipeline, and perform pipeline abnormality repair processing on each pipeline based on the second pipeline abnormality adjustment strategy of each pipeline to complete the pipeline fault processing task for each pipeline.

[0034] Optionally, the acquisition module is specifically configured to:

[0035] Based on the pipeline detection information of each pipeline, identifying pipeline structure abnormality information of each pipeline, and based on the pipeline operation information of each pipeline, identifying pipeline operation abnormality information of each pipeline;

[0036] For each pipeline, based on the pipeline structure abnormality information of the pipeline, a pipeline abnormal area of the pipeline is identified, and based on the pipeline operation abnormality information of the pipeline, pipeline operation data of each pipeline operation type of the pipeline is identified;

[0037] Based on the pipeline abnormal area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, the abnormal type corresponding to the abnormal area of the pipeline, the abnormal degree corresponding to the abnormal area of the pipeline, and the abnormal state corresponding to the abnormal area of the pipeline are identified through a pipeline abnormality analysis model, and the abnormal degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline are used as pipeline abnormality information of the pipeline.

[0038] Optionally, the processing module is specifically configured to:

[0039] For each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified; based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified using a pipeline structure evaluation strategy;

[0040] Based on the pipeline structure evaluation data of each pipeline area, abnormal pipeline areas are screened, and each of the abnormal pipeline areas is used as pipeline structure abnormality information of the pipeline.

[0041] Optionally, the processing module is specifically configured to:

[0042] For each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, query the pipeline abnormality adjustment method adapted to the pipeline;

[0043] Based on the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline, determining the target adjustment parameters of the pipeline abnormality adjustment method through the pipeline abnormality repair network;

[0044] The target adjustment parameter is used to replace the adjustment parameter of the pipeline abnormality adjustment method to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0045] Optionally, the repair module is specifically configured to:

[0046] For each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, generate pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline;

[0047] In response to a worker uploading a repair record based on the pipeline manual repair warning information of the pipeline, collecting a manual repair result of the pipeline, and performing pipeline abnormality adjustment processing on the pipeline based on the pipeline abnormality adjustment process of the pipeline to obtain a pipeline abnormality adjustment result of the pipeline;

[0048] Using the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline;

[0049] Through the preset pipeline function self-inspection strategy, the pipeline self-inspection processing is performed on the pipeline to obtain the pipeline operation data corresponding to each pipeline function of the pipeline, and the pipeline operation data corresponding to each pipeline function of the pipeline is used as the pipeline self-inspection information of the pipeline.

[0050] Optionally, the repair module is specifically configured to:

[0051] Based on the manual repair result of the pipeline, identifying the repair fault information of the pipeline, and based on the abnormal adjustment result of the pipeline, identifying the adjustment fault information of the pipeline;

[0052] Based on the pipeline operation data corresponding to each pipeline function of the pipeline, querying the pipeline function database for abnormal pipeline functions of the pipeline;

[0053] generating a new repair strategy for the pipeline and a new adjustment strategy for the pipeline based on the repair fault information of the pipeline and the adjustment fault information of the pipeline, and generating a functional repair strategy for the pipeline through a functional repair network based on the abnormal pipeline function of the pipeline;

[0054] The new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy are used as a second pipeline abnormality adjustment strategy for the pipeline.

[0055] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0057] In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0058] The pipeline fault processing method, apparatus, and computer device described above obtain pipeline detection information and pipeline operation information of each pipeline, and identify the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model; generate a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline; and perform pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy to obtain a pipeline abnormality processing result and pipeline self-test information of each pipeline; generate a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result and pipeline self-test information of each pipeline; and perform pipeline abnormality repair processing on each pipeline based on the second pipeline abnormality adjustment strategy to complete the pipeline fault processing task for each pipeline. This solution comprehensively analyzes the pipeline operation information and pipeline detection information of each pipeline to identify the pipeline anomaly type and pipeline anomaly information of the pipeline, thereby generating a first pipeline anomaly adjustment strategy for the pipeline, avoiding the inefficiency and subjective influence of manual analysis and fault judgment. Then, this solution combines the self-inspection information of the repaired pipeline and the pipeline anomaly processing results to generate a second pipeline anomaly adjustment for the pipeline, thereby avoiding repair anomalies and pipeline anomalies in a single repair, allowing the pipeline to operate normally after the repair is completed, without the need for manual analysis and manual judgment and detection processes, thereby improving the efficiency of pipeline fault analysis and identification. Then, through secondary pipeline fault processing, with different focuses and perspectives, the comprehensiveness and accuracy of pipeline fault processing are effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 1 is a flow chart of a method for handling a pipeline failure in one embodiment;

[0061] Figure 2 1 is a flow chart of an example of processing a pipeline failure in one embodiment;

[0062] Figure 3 is a structural block diagram of a pipeline fault processing device in one embodiment;

[0063] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0065] The pipeline fault processing method provided in the embodiment of the present application can be applied to the constructed intelligent control system for pipeline fault processing. The system can be applied to a terminal, which can be, but is not limited to, various personal computers, laptops, mid-range computers, etc. Among them, the terminal comprehensively analyzes the pipeline operation information and pipeline detection information of each pipeline, identifies the pipeline abnormality type and pipeline abnormality information of the pipeline, and thus generates a first pipeline abnormality adjustment strategy for the pipeline, avoiding the problems of inefficiency and subjective judgment of manual analysis and fault judgment. Then, this solution combines the self-inspection information of the repaired pipeline and the pipeline abnormality processing results to generate a second pipeline abnormality adjustment for the pipeline, thereby avoiding the repair abnormality and pipeline abnormality of a single repair, so that the pipeline after the repair is completed can operate normally, and there is no need for manual analysis and manual judgment and detection processes, thereby improving the efficiency of pipeline fault analysis and identification. Then, through the secondary pipeline fault processing, the two pipeline fault processing methods have different focuses and angles, thereby effectively improving the comprehensiveness and accuracy of pipeline fault processing.

[0066] In an exemplary embodiment, Figure 1 As shown, a method for handling pipeline failure is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps S101 to S103. Among them:

[0067] In step S101, pipeline detection information and pipeline operation information of each pipeline are obtained, and based on the pipeline detection information and pipeline operation information of each pipeline, the pipeline abnormality type and pipeline abnormality information of each pipeline are identified through a pipeline abnormality analysis model.

[0068] In this embodiment, the terminal uses pipeline detection sensors installed on each pipeline to collect pipeline detection data from different pipeline areas, obtaining pipeline detection information for each pipeline. The terminal then receives operational data from each pipeline during its current operation task, obtaining pipeline operation information for each pipeline. Pipeline detection sensors include, but are not limited to, temperature sensors, vibration sensors, flow rate sensors, and water quality sensors. The pipeline operation information for each pipeline includes operational data for each pipeline operation type, including, but not limited to, pipeline function execution type, pipeline material type, and pipeline task completion type. Finally, based on the pipeline detection information and pipeline operation information for each pipeline, the terminal uses a pipeline anomaly analysis model to identify the pipeline anomaly type and pipeline anomaly information for each pipeline. The pipeline anomaly analysis model is an artificial neural network based on the ABC analysis method. Pipeline anomaly types include, but are not limited to, pipeline damage, pipeline blockage, pipeline deformation, pipeline corrosion, and material shortage. Pipeline anomaly information includes the degree of anomaly corresponding to the pipeline anomaly area and the corresponding anomaly status. The abnormal state is used to represent the impact of the pipeline failure on the actual operation of the pipeline. The abnormal state includes but is not limited to states such as unable to operate, barely operating, able to operate normally, operating normally, and running smoothly. The specific identification process will be described in detail later.

[0069] In step S102, based on the pipeline abnormality type and pipeline abnormality information of each pipeline, a first pipeline abnormality adjustment strategy is generated for each pipeline. Based on the first pipeline abnormality adjustment strategy of each pipeline, pipeline abnormality processing is performed on each pipeline to obtain a pipeline abnormality processing result for each pipeline and pipeline self-test information for each pipeline.

[0070] In this embodiment, the terminal generates a first pipeline anomaly adjustment strategy for each pipeline based on the pipeline anomaly type and pipeline anomaly information for each pipeline. Based on the first pipeline anomaly adjustment strategy for each pipeline, the terminal performs pipeline anomaly processing on each pipeline, obtaining pipeline anomaly processing results and pipeline self-test information for each pipeline. The first pipeline anomaly adjustment strategy for each pipeline is a pipeline anomaly adjustment method. These anomaly adjustment methods include manual repair methods and anomaly adjustment processes. Manual repair methods include, but are not limited to, pipeline replacement, pipeline patching, pipeline structural adjustment, and material replacement. Anomaly adjustment processes are processes that allow the pipeline to self-adjust, including, but not limited to, pipeline cleaning, pipeline high-temperature distillation, and internal pipe unblocking. The resulting pipeline anomaly processing results include the manual repair results and pipeline anomaly adjustment results for the pipeline, while the pipeline self-test information includes pipeline operation data corresponding to each pipeline function. The specific identification process will be described in detail later.

[0071] In step S103, based on the pipeline abnormality processing result of each pipeline and the pipeline self-test information of each pipeline, a second pipeline abnormality adjustment strategy is generated for each pipeline. Based on the second pipeline abnormality adjustment strategy of each pipeline, pipeline abnormality repair processing is performed on each pipeline to complete the pipeline fault processing task for each pipeline.

[0072] In this embodiment, the terminal generates a second pipeline anomaly adjustment strategy for each pipeline based on the pipeline anomaly handling results and pipeline self-test information for each pipeline. Based on the second pipeline anomaly adjustment strategy, the terminal performs pipeline anomaly repair on each pipeline, completing the pipeline fault handling task for each pipeline. The second pipeline anomaly adjustment strategy for each pipeline includes a new pipeline repair strategy, a new pipeline adjustment strategy, and a pipeline functional repair strategy. The specific generation process will be described in detail later.

[0073] Based on the above scheme, by comprehensively analyzing the pipeline operation information and pipeline detection information of each pipeline, the pipeline abnormality type and pipeline abnormality information of the pipeline are identified, thereby generating a first pipeline abnormality adjustment strategy for the pipeline, avoiding the problems of inefficiency and subjective judgment of manual analysis and fault judgment. Then, this scheme combines the self-inspection information of the repaired pipeline and the pipeline abnormality processing results to generate a second pipeline abnormality adjustment for the pipeline, thereby avoiding repair abnormalities and pipeline abnormalities in a single repair, allowing the pipeline after the completed pipeline repair to operate normally without the need for manual analysis and manual judgment and detection processes, thereby improving the efficiency of pipeline fault analysis and identification. Then, through secondary pipeline fault processing, the two pipeline fault processing methods have different focuses and angles, thereby effectively improving the comprehensiveness and accuracy of pipeline fault processing.

[0074] Optionally, based on the pipeline detection information of each pipeline and the pipeline operation information of each pipeline, the pipeline abnormality type of each pipeline and the pipeline abnormality information of each pipeline are identified through a pipeline abnormality analysis model, including: based on the pipeline detection information of each pipeline, identifying the pipeline structure abnormality information of each pipeline, and based on the pipeline operation information of each pipeline, identifying the pipeline operation abnormality information of each pipeline; for each pipeline, based on the pipeline structure abnormality information of the pipeline, identifying the pipeline abnormality area of the pipeline, and based on the pipeline operation abnormality information of the pipeline, identifying the pipeline operation data of each pipeline operation type of the pipeline; based on the pipeline abnormality area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, through the pipeline abnormality analysis model, identifying the abnormality type corresponding to the abnormal area of the pipeline, the abnormality degree corresponding to the abnormal area of the pipeline, and the abnormal state corresponding to the abnormal area of the pipeline, and using the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline as the pipeline abnormality information of the pipeline.

[0075] In this embodiment, the terminal identifies pipeline structural anomaly information for each pipeline based on pipeline detection information, and identifies pipeline operational anomaly information for each pipeline based on pipeline operational information. The pipeline structural anomaly information includes the pipeline abnormality region where the pipeline is abnormal, and the pipeline operational anomaly information includes pipeline operational data for each pipeline operational type.

[0076] For each pipeline, the terminal identifies the pipeline's abnormal area based on the pipeline's structural anomaly information and, based on the pipeline's operational anomaly information, identifies pipeline operational data for each pipeline operation type. The pipeline operational data for each pipeline operation type identified based on the operational anomaly information includes abnormal operational data within each pipeline operation type, such as data on abnormal pipeline function execution, missing pipeline materials, and low pipeline task completion rates.

[0077] Based on the pipeline abnormality region and pipeline operation data for each pipeline operation type, the terminal uses a pipeline abnormality analysis model to identify the abnormality type, abnormality severity, and abnormal status corresponding to the pipeline abnormality region. The terminal then uses the abnormality severity and abnormal status corresponding to the pipeline abnormality region as pipeline abnormality information. Specifically, the pipeline abnormality analysis model is used to identify the abnormality type, abnormality severity, and abnormal status of the pipeline based on the pipeline operation data for each pipeline operation type, and the pipeline abnormality region is used to locate the abnormal location of the pipeline.

[0078] Based on the above solution, the analysis efficiency and accuracy of pipeline anomaly analysis are improved by analyzing the pipeline anomaly type, degree of anomaly, and abnormal state from the two perspectives of pipeline structure anomaly and operation anomaly.

[0079] Optionally, based on the pipeline detection information of each pipeline, pipeline structure abnormality information of each pipeline is identified, including: for each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified, and based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified through a pipeline structure evaluation strategy; based on the pipeline structure evaluation data of each pipeline area, abnormal pipeline areas are screened, and each abnormal pipeline area is used as pipeline structure abnormality information of the pipeline.

[0080] In this embodiment, for each pipeline, the terminal identifies pipeline self-inspection data for each pipeline zone based on the pipeline detection information. Based on the pipeline self-inspection data for each pipeline zone, the terminal uses a pipeline structure evaluation strategy to identify pipeline structure evaluation data for each pipeline zone. The pipeline self-inspection data includes sensor data collected by various pipeline detection sensors, such as temperature change data, vibration fluctuation data, flow rate change data, and water quality change data. The pipeline structure evaluation strategy includes sub-evaluation strategies for sensor data collected by different pipeline detection sensors. Each self-evaluation strategy includes a correspondence between each evaluation data point and the sensor data range. The terminal uses this correspondence to identify pipeline structure evaluation data for each pipeline zone.

[0081] The terminal screens for abnormal pipeline areas based on the pipeline structure evaluation data for each pipeline area and identifies each abnormal pipeline area as pipeline structure anomaly information. Specifically, the terminal presets a threshold for the pipeline structure evaluation data and identifies pipeline areas below the threshold as abnormal pipeline areas.

[0082] Based on the above scheme, structural evaluation of each pipeline area is performed to screen abnormal pipeline areas, thereby improving the accuracy and comprehensiveness of screening abnormal pipeline areas.

[0083] Optionally, based on the pipeline abnormality type and pipeline abnormality information of each pipeline, a first pipeline abnormality adjustment strategy for each pipeline is generated, including: for each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, querying the pipeline abnormality adjustment method adapted for the pipeline; based on the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline, determining the target adjustment parameter of the pipeline abnormality adjustment method through the pipeline abnormality repair network; replacing the adjustment parameter of the pipeline abnormality adjustment method with the target adjustment parameter to obtain the first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0084] In this embodiment, the terminal queries the pipeline anomaly adjustment method for each pipeline based on the pipeline anomaly type corresponding to the pipeline anomaly region. The pipeline anomaly adjustment database stores the correspondence between different pipeline anomaly types and pipeline anomaly adjustment methods. The terminal then selects the pipeline anomaly adjustment method suitable for each pipeline anomaly region based on the pipeline anomaly type corresponding to each pipeline anomaly region and the correspondence in the pipeline anomaly adjustment database.

[0085] The terminal then determines the target adjustment parameters for the pipeline anomaly adjustment method based on the degree of anomaly corresponding to the pipeline anomaly area and the anomaly status corresponding to the pipeline anomaly area through the pipeline anomaly repair network. The pipeline anomaly repair network is a network that identifies the adjustment parameters for the pipeline anomaly type. The pipeline anomaly repair network is a deep learning-based neural network trained on sample adjustment parameters for different pipeline anomaly adjustment methods, the degree of anomaly of each sample, and the anomaly status of each sample.

[0086] The terminal replaces the adjustment parameters of the pipeline abnormality adjustment method with the target adjustment parameters to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0087] Based on the above scheme, the pipeline anomaly adjustment method is screened by pipeline anomaly type, and the target adjustment parameters of the pipeline anomaly adjustment method are generated based on the pipeline anomaly repair network, which improves the accuracy and adaptability of pipeline anomaly repair.

[0088] Optionally, based on the first pipeline abnormality adjustment strategy of each pipeline, pipeline abnormality processing is performed on each pipeline to obtain pipeline abnormality processing results of each pipeline and pipeline self-inspection information of each pipeline, including: for each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, generating pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline; in response to the staff's upload operation of the repair record based on the pipeline manual repair warning information of the pipeline, collecting the manual repair result of the pipeline, and based on the pipeline abnormality adjustment process of the pipeline, performing pipeline abnormality adjustment processing on the pipeline to obtain the pipeline abnormality adjustment result of the pipeline; using the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline; performing pipeline self-inspection processing on the pipeline through a preset pipeline function self-inspection strategy to obtain pipeline operation data corresponding to each pipeline function of the pipeline, and using the pipeline operation data corresponding to each pipeline function of the pipeline as the pipeline self-inspection information of the pipeline.

[0089] In this embodiment, the terminal generates manual repair warning information and a pipeline abnormality adjustment process for each pipeline based on the first pipeline abnormality adjustment policy. The first pipeline abnormality adjustment policy includes a repair policy corresponding to a manual repair method and an adjustment policy corresponding to a pipeline adjustment method. The terminal fills the repair policy corresponding to the manual repair method into a repair warning template to obtain the manual repair warning information. The terminal then identifies the system execution process corresponding to the adjustment policy to obtain the pipeline abnormality adjustment process.

[0090] The terminal responds to the staff's operation of uploading the repair record based on the pipeline manual repair warning information of the pipeline, collects the manual repair result of the pipeline, and performs pipeline abnormality adjustment processing on the pipeline based on the pipeline abnormality adjustment process of the pipeline to obtain the pipeline abnormality adjustment result of the pipeline.

[0091] Then, the terminal uses the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline.

[0092] Then, the terminal performs a pipeline self-inspection process on the pipeline through a preset pipeline function self-inspection strategy, obtains pipeline operation data corresponding to each pipeline function of the pipeline, and uses the pipeline operation data corresponding to each pipeline function of the pipeline as the pipeline self-inspection information of the pipeline. Among them, the pipeline function self-inspection strategy is a self-inspection program for each pipeline operation function. The self-inspection program can control the pipeline to execute different pipeline functions and record the data changes of each pipeline detection type during the execution of each pipeline function, thereby obtaining the pipeline operation data corresponding to each pipeline function. Among them, each pipeline detection type includes but is not limited to pipeline vibration detection, pipeline temperature detection, pipeline pressure detection, water flow velocity detection, water flow impact force detection, pipeline execution process duration detection, pipeline execution process sequence detection, etc.

[0093] Based on the above solution, abnormal processing results are identified through manual repair and pipeline adjustment, and each operating function of the pipeline is self-checked to ensure a comprehensive self-check of the operation status of the repaired and adjusted pipeline.

[0094] Optionally, based on the pipeline abnormality processing results of each pipeline and the pipeline self-inspection information of each pipeline, a second pipeline abnormality adjustment strategy for each pipeline is generated, including: based on the manual repair results of the pipeline, identifying the pipeline repair fault information, and based on the pipeline abnormal adjustment results, identifying the pipeline adjustment fault information; based on the pipeline operation data corresponding to each pipeline function of the pipeline, querying the abnormal pipeline function of the pipeline in the pipeline function database; based on the pipeline repair fault information and the pipeline adjustment fault information, generating a new pipeline repair strategy and a new pipeline adjustment strategy, and based on the abnormal pipeline function of the pipeline, generating a pipeline function repair strategy through a function repair network; using the pipeline new repair strategy, the pipeline new adjustment strategy, and the pipeline function repair strategy as the second pipeline abnormality adjustment strategy of the pipeline.

[0095] In this embodiment, the terminal identifies pipeline repair fault information based on the manual repair results of the pipeline, and identifies pipeline adjustment fault information based on the abnormal adjustment results of the pipeline. The manual repair results include manually marked pipeline fault identification information indicating unrepaired, incomplete repair, or failed repair. For example, if a pipeline breaks during the deformation recovery process, making it impossible to repair it again using the current repair method and requiring only replacement, the repair fault information indicates a pipeline break. The pipeline adjustment fault information indicates an abnormal adjustment test failure during the adjustment test after the pipeline adjustment process. For example, if a pipeline infusion test is performed after the pipeline is unblocked and an infusion abnormality is present, identification information indicating pipeline unblocking failure is recorded. That is, after the pipeline is adjusted, any remaining pipeline faults requiring adjustment are identified.

[0096] Based on the pipeline operation data corresponding to each pipeline function of the pipeline, the terminal searches the pipeline function database for abnormal pipeline functions of the pipeline, wherein the abnormal pipeline function is a pipeline function that cannot be operated, fails to operate, or operates abnormally.

[0097] Next, the terminal generates a new pipeline repair strategy and a new pipeline adjustment strategy based on the pipeline repair fault information and the pipeline adjustment fault information. Based on the pipeline's abnormal pipeline function, the terminal generates a pipeline functional repair strategy through the functional repair network. Each repair strategy and adjustment strategy is adapted for each repair fault information and adjustment fault strategy, meaning each strategy can only address a single repair fault information or adjustment fault information. The functional repair network is a classifier neural network that performs program repair on the software program corresponding to the abnormal pipeline function. This classifier neural network adapts the repair strategy of the software execution program corresponding to the pipeline function to different abnormal pipeline functions.

[0098] Finally, the terminal uses the new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy as the second pipeline abnormality adjustment strategy of the pipeline.

[0099] Based on the above solution, by adjusting the functional repair strategy for different pipeline repair fault information and adapting the corresponding repair strategy, the accuracy, adaptability and efficiency of the secondary repair are improved.

[0100] The application also provides an example of handling a pipeline failure, such as Figure 2 As shown, the specific processing process includes the following steps:

[0101] Step S201: Obtain pipeline detection information and pipeline operation information of each pipeline.

[0102] Step S202 : Based on the pipeline detection information of each pipeline, pipeline structure abnormality information of each pipeline is identified, and based on the pipeline operation information of each pipeline, pipeline operation abnormality information of each pipeline is identified.

[0103] Step S203 : for each pipeline, based on the pipeline structure abnormality information of the pipeline, identifying the pipeline abnormal area of the pipeline, and based on the pipeline operation abnormality information of the pipeline, identifying the pipeline operation data of each pipeline operation type of the pipeline.

[0104] Step S204: Based on the pipeline abnormal area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, the pipeline abnormality analysis model is used to identify the abnormality type corresponding to the pipeline abnormal area, the abnormality degree corresponding to the pipeline abnormal area, and the abnormal state corresponding to the pipeline abnormal area, and the abnormality degree corresponding to the pipeline abnormal area and the abnormal state corresponding to the pipeline abnormal area are used as pipeline abnormality information of the pipeline.

[0105] Step S205 , for each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified, and based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified using a pipeline structure evaluation strategy.

[0106] Step S206 , based on the pipeline structure evaluation data of each pipeline area, screen abnormal pipeline areas, and use each abnormal pipeline area as pipeline structure abnormality information of the pipeline.

[0107] Step S207: for each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, query the pipeline abnormality adjustment method adapted for the pipeline.

[0108] Step S208 : Based on the abnormality degree and the abnormal state corresponding to the abnormal area of the pipeline, target adjustment parameters of the pipeline abnormality adjustment method are determined through the pipeline abnormality repair network.

[0109] Step S209 : replacing the adjustment parameters of the pipeline abnormality adjustment method with the target adjustment parameters to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0110] Step S210 : For each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline are generated.

[0111] Step S211, in response to the staff's operation of uploading the repair record based on the pipeline manual repair warning information of the pipeline, the manual repair result of the pipeline is collected, and based on the pipeline abnormality adjustment process of the pipeline, the pipeline abnormality adjustment processing is performed on the pipeline to obtain the pipeline abnormality adjustment result of the pipeline.

[0112] Step S212: The manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline are used as the pipeline abnormality processing result of the pipeline.

[0113] In step S213, a pipeline self-inspection process is performed on the pipeline through a preset pipeline function self-inspection strategy to obtain pipeline operation data corresponding to each pipeline function of the pipeline, and the pipeline operation data corresponding to each pipeline function of the pipeline is used as pipeline self-inspection information of the pipeline.

[0114] Step S214: Based on the manual repair result of the pipeline, the repair fault information of the pipeline is identified, and based on the abnormal adjustment result of the pipeline, the adjustment fault information of the pipeline is identified.

[0115] Step S215 , based on the pipeline operation data corresponding to each pipeline function of the pipeline, query the pipeline function database for abnormal pipeline functions.

[0116] Step S216: Generate a new pipeline repair strategy and a new pipeline adjustment strategy based on the pipeline repair fault information and the pipeline adjustment fault information, and generate a pipeline function repair strategy based on the abnormal pipeline function of the pipeline through the function repair network.

[0117] Step S217: The new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy are used as a second pipeline abnormality adjustment strategy for the pipeline.

[0118] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0119] Based on the same inventive concept, embodiments of the present application also provide a pipeline fault handling device for implementing the aforementioned pipeline fault handling method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more pipeline fault handling device embodiments provided below can be found in the limitations of the pipeline fault handling method described above and will not be further elaborated here.

[0120] In an exemplary embodiment, Figure 3 As shown, a pipeline fault processing device is provided, including: an acquisition module 310, a processing module 320 and a repair module 330, wherein:

[0121] An acquisition module 310 is configured to acquire pipeline detection information of each pipeline and pipeline operation information of each pipeline, and identify the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model;

[0122] The processing module 320 is configured to generate a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline, and perform pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy, thereby obtaining a pipeline abnormality processing result for each pipeline and pipeline self-test information for each pipeline.

[0123] The repair module 330 is configured to generate a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result of each pipeline and the pipeline self-test information of each pipeline, and perform pipeline abnormality repair processing on each pipeline based on the second pipeline abnormality adjustment strategy of each pipeline to complete the pipeline fault processing task for each pipeline.

[0124] Optionally, the acquisition module 310 is specifically configured to:

[0125] Based on the pipeline detection information of each pipeline, identifying pipeline structure abnormality information of each pipeline, and based on the pipeline operation information of each pipeline, identifying pipeline operation abnormality information of each pipeline;

[0126] For each pipeline, based on the pipeline structure abnormality information of the pipeline, a pipeline abnormal area of the pipeline is identified, and based on the pipeline operation abnormality information of the pipeline, pipeline operation data of each pipeline operation type of the pipeline is identified;

[0127] Based on the pipeline abnormal area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, the abnormal type corresponding to the abnormal area of the pipeline, the abnormal degree corresponding to the abnormal area of the pipeline, and the abnormal state corresponding to the abnormal area of the pipeline are identified through a pipeline abnormality analysis model, and the abnormal degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline are used as pipeline abnormality information of the pipeline.

[0128] Optionally, the processing module 320 is specifically configured to:

[0129] For each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified; based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified using a pipeline structure evaluation strategy;

[0130] Based on the pipeline structure evaluation data of each pipeline area, abnormal pipeline areas are screened, and each of the abnormal pipeline areas is used as pipeline structure abnormality information of the pipeline.

[0131] Optionally, the processing module 320 is specifically configured to:

[0132] For each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, query the pipeline abnormality adjustment method adapted to the pipeline;

[0133] Based on the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline, determining the target adjustment parameters of the pipeline abnormality adjustment method through the pipeline abnormality repair network;

[0134] The target adjustment parameter is used to replace the adjustment parameter of the pipeline abnormality adjustment method to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

[0135] Optionally, the repair module 330 is specifically configured to:

[0136] For each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, generate pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline;

[0137] In response to a worker uploading a repair record based on the pipeline manual repair warning information of the pipeline, collecting a manual repair result of the pipeline, and performing pipeline abnormality adjustment processing on the pipeline based on the pipeline abnormality adjustment process of the pipeline to obtain a pipeline abnormality adjustment result of the pipeline;

[0138] Using the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline;

[0139] Through the preset pipeline function self-inspection strategy, the pipeline self-inspection processing is performed on the pipeline to obtain the pipeline operation data corresponding to each pipeline function of the pipeline, and the pipeline operation data corresponding to each pipeline function of the pipeline is used as the pipeline self-inspection information of the pipeline.

[0140] Optionally, the repair module 330 is specifically configured to:

[0141] Based on the manual repair result of the pipeline, identifying the repair fault information of the pipeline, and based on the abnormal adjustment result of the pipeline, identifying the adjustment fault information of the pipeline;

[0142] Based on the pipeline operation data corresponding to each pipeline function of the pipeline, querying the pipeline function database for abnormal pipeline functions of the pipeline;

[0143] generating a new repair strategy for the pipeline and a new adjustment strategy for the pipeline based on the repair fault information of the pipeline and the adjustment fault information of the pipeline, and generating a functional repair strategy for the pipeline through a functional repair network based on the abnormal pipeline function of the pipeline;

[0144] The new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy are used as a second pipeline abnormality adjustment strategy for the pipeline.

[0145] Each module in the aforementioned pipeline fault processing device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor within a computer device in the form of hardware, or may be stored in a computer device memory in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0146] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for handling pipeline failure is implemented. The display unit of the computer device is used to form a visually visible image, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0147] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0148] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of a method for processing a pipeline failure when executing the computer program.

[0149] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for handling pipeline failure are implemented.

[0150] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of a method for handling pipeline failure when executed by a processor.

[0151] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0152] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0153] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for handling pipeline failure, characterized in that: The method comprises: Obtaining pipeline detection information of each pipeline and pipeline operation information of each pipeline, and identifying the pipeline abnormality type of each pipeline and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model; generating a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline, and performing pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy for each pipeline to obtain a pipeline abnormality processing result for each pipeline and pipeline self-inspection information for each pipeline; Based on the pipeline abnormality processing results of each pipeline and the pipeline self-inspection information of each pipeline, a second pipeline abnormality adjustment strategy for each pipeline is generated, and based on the second pipeline abnormality adjustment strategy for each pipeline, pipeline abnormality repair processing is performed on each pipeline to complete the pipeline fault processing task for each pipeline.

2. The method according to claim 1, characterized in that The pipeline abnormality analysis model is used to identify the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and the pipeline operation information of each pipeline, including: Based on the pipeline detection information of each pipeline, identifying pipeline structure abnormality information of each pipeline, and based on the pipeline operation information of each pipeline, identifying pipeline operation abnormality information of each pipeline; For each pipeline, based on the pipeline structure abnormality information of the pipeline, a pipeline abnormal area of the pipeline is identified, and based on the pipeline operation abnormality information of the pipeline, pipeline operation data of each pipeline operation type of the pipeline is identified; Based on the pipeline abnormal area of the pipeline and the pipeline operation data of each pipeline operation type of the pipeline, the abnormal type corresponding to the abnormal area of the pipeline, the abnormal degree corresponding to the abnormal area of the pipeline, and the abnormal state corresponding to the abnormal area of the pipeline are identified through a pipeline abnormality analysis model, and the abnormal degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline are used as pipeline abnormality information of the pipeline.

3. The method according to claim 2, characterized in that The identifying of pipeline structural abnormality information of each pipeline based on the pipeline detection information of each pipeline includes: For each pipeline, based on the pipeline detection information of the pipeline, pipeline self-inspection data of each pipeline area of the pipeline is identified; based on the pipeline self-inspection data of each pipeline area, pipeline structure evaluation data of each pipeline area is identified using a pipeline structure evaluation strategy; Based on the pipeline structure evaluation data of each pipeline area, abnormal pipeline areas are screened, and each of the abnormal pipeline areas is used as pipeline structure abnormality information of the pipeline.

4. The method according to claim 2, characterized in that The generating of a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type of each pipeline and the pipeline abnormality information of each pipeline includes: For each pipeline, based on the pipeline abnormality type corresponding to the abnormal area of the pipeline, query the pipeline abnormality adjustment method adapted to the pipeline; Based on the abnormality degree corresponding to the abnormal area of the pipeline and the abnormal state corresponding to the abnormal area of the pipeline, determining the target adjustment parameters of the pipeline abnormality adjustment method through the pipeline abnormality repair network; The target adjustment parameter is used to replace the adjustment parameter of the pipeline abnormality adjustment method to obtain a first pipeline abnormality adjustment strategy corresponding to the pipeline.

5. The method according to claim 1, characterized in that The pipeline abnormality adjustment strategy based on each pipeline performs pipeline abnormality processing on each pipeline to obtain a pipeline abnormality processing result of each pipeline and pipeline self-inspection information of each pipeline, including: For each pipeline, based on the first pipeline abnormality adjustment strategy of the pipeline, generate pipeline manual repair warning information of the pipeline and the pipeline abnormality adjustment process of the pipeline; In response to a worker uploading a repair record based on the pipeline manual repair warning information of the pipeline, collecting a manual repair result of the pipeline, and performing pipeline abnormality adjustment processing on the pipeline based on the pipeline abnormality adjustment process of the pipeline to obtain a pipeline abnormality adjustment result of the pipeline; Using the manual repair result of the pipeline and the pipeline abnormality adjustment result of the pipeline as the pipeline abnormality processing result of the pipeline; Through the preset pipeline function self-inspection strategy, the pipeline self-inspection processing is performed on the pipeline to obtain the pipeline operation data corresponding to each pipeline function of the pipeline, and the pipeline operation data corresponding to each pipeline function of the pipeline is used as the pipeline self-inspection information of the pipeline.

6. The method according to claim 5, characterized in that Generating a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result of each pipeline and the pipeline self-check information of each pipeline includes: Based on the manual repair result of the pipeline, identifying the repair fault information of the pipeline, and based on the abnormal adjustment result of the pipeline, identifying the adjustment fault information of the pipeline; Based on the pipeline operation data corresponding to each pipeline function of the pipeline, querying the pipeline function database for abnormal pipeline functions of the pipeline; generating a new repair strategy for the pipeline and a new adjustment strategy for the pipeline based on the repair fault information of the pipeline and the adjustment fault information of the pipeline, and generating a functional repair strategy for the pipeline through a functional repair network based on the abnormal pipeline function of the pipeline; The new pipeline repair strategy, the new pipeline adjustment strategy, and the pipeline function repair strategy are used as a second pipeline abnormality adjustment strategy for the pipeline.

7. A pipeline fault processing device, characterized in that: The device comprises: an acquisition module, configured to acquire pipeline detection information of each pipeline and pipeline operation information of each pipeline, and identify the pipeline abnormality type and pipeline abnormality information of each pipeline based on the pipeline detection information and pipeline operation information of each pipeline using a pipeline abnormality analysis model; a processing module, configured to generate a first pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality type and pipeline abnormality information of each pipeline, and perform pipeline abnormality processing on each pipeline based on the first pipeline abnormality adjustment strategy, to obtain a pipeline abnormality processing result for each pipeline and pipeline self-test information for each pipeline; The repair module is configured to generate a second pipeline abnormality adjustment strategy for each pipeline based on the pipeline abnormality processing result of each pipeline and the pipeline self-test information of each pipeline, and perform pipeline abnormality repair processing on each pipeline based on the second pipeline abnormality adjustment strategy of each pipeline to complete the pipeline fault processing task for each pipeline.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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