Life cycle data management system and management method of pipeline

Abstract

The invention provides a pipeline life cycle data management system and method, and the system comprises a data collection module which is used for collecting the target data of a pipeline in each life cycle stage, and carrying out the stage distinguishing storage after the verification of the collected target data; the data processing module is used for analyzing the corresponding target data based on the data management standard of each life cycle stage, generating a stage report and performing query management on the target data and the stage report of each life cycle stage; and the analysis and decision module is used for performing deep analysis on the stage report of each life cycle stage of the pipeline regularly and determining an operation and maintenance strategy of the pipeline based on a deep analysis result. Reliability, accuracy and comprehensiveness of life cycle data management of the pipeline are guaranteed, and meanwhile operation stability and operation reliability of the pipeline are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a life cycle data management system and method for pipelines. Background Art

[0002] At present, in many fields such as industry and municipal administration, pipelines are widely used for transporting oil, natural gas, water, etc. A large amount of data will be generated during the entire life cycle of pipelines. Therefore, the management of pipeline life cycle data is particularly important; However, at present, the management of pipeline data is mostly decentralized, lacking a unified data management system that runs through the entire life cycle of pipelines, resulting in difficulty in ensuring data integrity. At the same time, it is difficult for staff to query data, and it is impossible to effectively predict possible problems with pipelines, making it difficult to quickly determine corresponding decisions, affecting the safe operation and management efficiency of pipelines; Therefore, in order to overcome the above defects, the present invention provides a life cycle data management system and method for pipelines. Summary of the Invention

[0003] The present invention provides a life cycle data management system and method for pipelines, which collect target data of pipelines at each life cycle stage, verify and store the target data, ensuring the comprehensiveness and reliability of the collected target data of pipelines. Secondly, the target data at each life cycle stage is processed and analyzed to generate a stage report for each stage, facilitating the understanding of the situation of pipelines at each stage. At the same time, query management is provided, facilitating maintenance personnel to perform corresponding queries according to needs, improving the convenience of life cycle data management of pipelines. Finally, the stage reports at each life cycle stage of pipelines are deeply analyzed regularly, facilitating the prediction of possible anomalies in pipelines, thereby providing corresponding operation and maintenance strategies, ensuring the reliability, accuracy, and comprehensiveness of life cycle data management of pipelines, and at the same time, ensuring the operation stability and reliability of pipelines.

[0004] The present invention provides a life cycle data management system for pipelines, including: A data collection module, configured to collect target data of pipelines at each life cycle stage, and perform stage-distributed storage after verifying the collected target data; A data processing module, configured to analyze the corresponding target data based on the data management standards at each life cycle stage, generate a stage report, and perform query management on the target data and stage reports at each life cycle stage; An analysis and decision-making module, configured to regularly perform in-depth analysis on the stage reports at each life cycle stage of pipelines, and determine the operation and maintenance strategies for pipelines based on the results of the in-depth analysis.

[0005] Preferably, a pipeline life cycle data management system, the data acquisition module, comprising: A stage determination unit, configured to obtain the entire life cycle of the pipeline based on the management terminal, and analyze the entire life cycle to obtain each life cycle stage of the pipeline; A monitoring point determination unit, configured to obtain the application scenario of the pipeline, and at the same time, extract the business attributes of each life cycle stage, and determine the monitoring dimensions of each life cycle stage and the monitoring focus under each monitoring dimension based on the application scenario and the business attributes; A data acquisition unit, configured to: Deploy corresponding sensors in each life cycle stage of the pipeline based on the monitoring dimensions and the monitoring focus, and perform business parameter adaptation on the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation result, and obtain the target data of the pipeline in each life cycle stage.

[0006] Preferably, a pipeline life cycle data management system, the data acquisition module, comprising: A data verification unit, configured to: Obtain the reference state interval of the pipeline in each life cycle stage, and sequentially perform a first match between the target data and the corresponding reference state interval, and perform abnormal data verification on the target data based on the first match result; At the same time, after the abnormal data verification is passed, traverse the target data to obtain the data sequence corresponding to the target data, and sequentially analyze each single data in the data sequence to obtain the hierarchical structure of the target data; Perform a second match between the hierarchical structure and the standard hierarchical structure of each life cycle stage, and perform data integrity verification on the target data based on the second match result; A data storage unit, configured to, after the data integrity verification is passed, perform stage division on the target data based on each life cycle stage of the pipeline, and store the target data in a stage-distinguished manner based on the stage division result.

[0007] Preferably, a pipeline life cycle data management system, the data verification unit, comprising: A result acquisition subunit, configured to obtain the abnormal data verification result and the data integrity verification result of the target data, and start the supplementary improvement mechanism for the target data when there is a verification failure; A data improvement subunit, configured to: Determine the life cycle stage to be improved based on the start result, and simultaneously open the online supplementary permission and the offline verification and supplementary permission for the life cycle stage to be improved; Receive online supplementary data and offline verification supplementary data simultaneously based on the activation result, analogize and deduplicate the online supplementary data and the offline verification supplementary data, and improve the target data based on the analogizing and deduplication result.

[0008] Preferably, a pipeline life cycle data management system, a data processing module, includes: A data analysis unit, configured to: Determine the analysis target for the pipeline in each life cycle stage based on the business process of the pipeline, and perform object classification on the target data in each life cycle stage based on the analysis target; Meanwhile, determine the analysis dimension for each type of data object and the limiting indicators under each dimension based on the analysis target, and obtain the data management standard for each type of data object based on the analysis dimension and the limiting indicators; Traverse the data for each type of data object to obtain the data structure of each type of data object, and determine the data management method for each type of data object based on the data structure; Perform conditional constraints on the data management standard based on the data management method, and perform synchronous independent analysis on each type of data object in the target data based on the conditional constraint result; Determine the association relationship between different types of data objects in each life cycle stage, and perform association correction on the synchronous independent analysis result based on the association relationship to obtain the analysis result of each life cycle stage; A stage report generation unit, configured to: Determine the stage report structure based on the report generation requirement, where the stage report structure includes an abstract, a management result, and a summary; Parse the analysis result to obtain the management result of each life cycle stage, and perform text parsing on the management result to obtain the management result representation of the corresponding key points; Generate a report abstract for each life cycle stage based on the management result representation, and determine the real-time status of the pipeline in each life cycle stage based on the management result; Generate management guidance suggestions for the pipeline based on the deviation degree between the real-time status and the pipeline operation management standard; Typeset the management result, report abstract, and management guidance suggestions of each life cycle stage based on the stage report structure to obtain the stage report.

[0009] Preferably, a pipeline life cycle data management system, a data processing module, includes: A data storage unit, configured to: Obtain the allowable query requirements for the target data and the stage report based on the management terminal, and configure the database schema of the preset database based on the allowable query requirements and the structures of the target data and the stage report; Store the target data and stage reports based on the configuration results, and build query indexes for the target data and stage reports based on the stored structure; Interface configuration unit, for: Bind query logic based on the allowable query requirements and query indexes, and perform first-condition adaptation on the search engine based on the query logic binding result; Meanwhile, determine the query permission scope of different user objects for the target data and stage reports at different life cycle stages based on the management terminal, and perform second-condition adaptation on the search engine based on the query permission scope; Visualization unit, for obtaining a query mechanism based on the first-condition adaptation result and the second-condition adaptation result. Meanwhile, associate the query mechanism with the data display driver, and obtain the final query management mechanism based on the association result.

[0010] Preferably, a life cycle data management system for a pipeline, the analysis and decision-making module includes: Feature determination unit, for: Regularly retrieve the stage reports of each life cycle stage of the pipeline, read the stage reports, and obtain the historical data and maintenance records of the pipeline; Determine the loss status of the pipeline based on the historical data and maintenance records. Meanwhile, determine the component replacement characteristics of the pipeline based on the maintenance records; Obtain the surrounding environment status of the pipeline, and determine the influencing factors on the pipeline and the influence weights of each influencing factor based on the surrounding environment status; In-depth analysis unit, for: Determine the supervision items for the pipeline and the supervision indicators for each supervision item based on the management requirements, and comprehensively analyze and predict the loss status of the pipeline, the component replacement characteristics of the pipeline, the influencing factors on the pipeline by the surrounding environment status, and the influence weights of each influencing factor based on the supervision items and supervision indicators; Determine the potential hidden danger points existing in the pipeline based on the comprehensive analysis and prediction; Strategy formulation unit, for determining the operation and maintenance strategy for the pipeline based on the potential hidden danger points.

[0011] Preferably, a life cycle data management system for a pipeline, the strategy formulation unit includes: Strategy formulation subunit, for: Obtain the potential hidden danger points existing in the pipeline, and determine the hidden danger types and hidden danger characteristics of the potential hidden danger points; Match similar operation and maintenance strategies from the preset strategy library based on the hidden danger types and hidden danger characteristics, and determine the deviation parameters between the hidden danger characteristics and the similar operation and maintenance strategies; Locally adjust the similar operation and maintenance strategies based on the deviation parameters to obtain the final operation and maintenance strategy for the pipeline; An operation and maintenance management sub-unit for performing operation and maintenance management on a pipeline based on an operation and maintenance strategy, monitoring the operation and maintenance management process in real time, and providing feedback on and recording the real-time monitoring results.

[0012] The present invention provides a method for managing life cycle data of a pipeline, including: Step 1: Collect target data of the pipeline at each life cycle stage, and perform stage-based differentiated storage after verifying the collected target data; Step 2: Analyze the corresponding target data based on the data management standards for each life cycle stage to generate a stage report, and perform query management on the target data and stage reports for each life cycle stage; Step 3: Regularly perform in-depth analysis on the stage reports of each life cycle stage of the pipeline, and determine the operation and maintenance strategy for the pipeline based on the results of the in-depth analysis.

[0013] Preferably, in a method for managing life cycle data of a pipeline, in Step 1, collecting the target data of the pipeline at each life cycle stage includes: Obtain the full life cycle of the pipeline based on a management terminal, and parse the full life cycle to obtain each life cycle stage of the pipeline; Obtain the application scenario of the pipeline. At the same time, extract the business attributes of each life cycle stage, and determine the monitoring dimensions for each life cycle stage and the monitoring focus under each monitoring dimension based on the application scenario and business attributes; Deploy corresponding sensors at each life cycle stage of the pipeline based on the monitoring dimensions and monitoring focus, and perform business parameter adaptation on the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation results to obtain the target data of the pipeline at each life cycle stage.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: By collecting the target data of the pipeline at each life cycle stage, verifying and storing the target data, the comprehensiveness and reliability of the collected target data of the pipeline are ensured. Secondly, processing and analyzing the target data of each life cycle stage to generate a stage report for each stage facilitates understanding the situation of the pipeline at each stage. At the same time, providing query management facilitates corresponding queries by operation and maintenance personnel according to needs, improving the convenience of managing the life cycle data of the pipeline. Finally, regularly performing in-depth analysis on the stage reports of each life cycle stage of the pipeline facilitates predicting possible anomalies in the pipeline, thereby providing corresponding operation and maintenance strategies, ensuring the reliability, accuracy, and comprehensiveness of managing the life cycle data of the pipeline, and at the same time ensuring the operation stability and reliability of the pipeline.

[0015] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the specification of this application.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Description of the Drawings

[0017] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings: Figure 1 It is a structural diagram of a pipeline life cycle data management system in an embodiment of the present invention; Figure 2 It is a structural diagram of a data acquisition module in a pipeline life cycle data management system in Embodiment 2 of the present invention; Figure 3 It is a flowchart of a pipeline life cycle data management method in an embodiment of the present invention. Detailed Embodiments

[0018] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0019] Embodiment 1 This embodiment provides a pipeline life cycle data management system, as Figure 1 shown, including: A data acquisition module, configured to acquire target data of the pipeline in each life cycle stage, and perform stage-distinguished storage after verifying the acquired target data; A data processing module, configured to analyze the corresponding target data based on the data management standards of each life cycle stage, generate a stage report, and perform query management on the target data and stage report of each life cycle stage; An analysis and decision-making module, configured to periodically perform in-depth analysis on the stage reports of each life cycle stage of the pipeline, and determine the operation and maintenance strategy for the pipeline based on the results of the in-depth analysis.

[0020] In this embodiment, each life cycle stage includes stages such as planning, design, manufacturing, installation, operation, and maintenance.

[0021] In this embodiment, the target data refers to the real-time operation data of the pipeline corresponding to each life cycle stage.

[0022] In this embodiment, verification refers to verifying the integrity, compliance, and whether there are abnormal data, etc. of the collected target data.

[0023] In this embodiment, stage - differentiated storage means separating and storing target data in different life cycles, aiming to distinguish target data in different stages.

[0024] In this embodiment, the data management standard is the rule corresponding to each life - cycle stage. For example, in the construction stage, it may include standards such as verifying the welding quality of pipelines.

[0025] In this embodiment, the stage report refers to a report that can represent the actual situation of the pipeline in the current life - cycle stage obtained by analyzing the corresponding target data through the data management standard.

[0026] In this embodiment, query management means providing a query service. Specifically, operation and maintenance personnel, etc., can query the corresponding data according to the query requirements.

[0027] In this embodiment, in - depth analysis refers to comprehensively analyzing the stage reports of each life - cycle stage of the pipeline, predicting the possible abnormal types or locations of the pipeline, so as to provide decision - making strategies for the operation and maintenance of the pipeline and ensure the reliability of the pipeline.

[0028] The beneficial effects of the above - mentioned technical solution are as follows: By collecting the target data of the pipeline in each life - cycle stage and verifying and storing the target data, the comprehensiveness and reliability of the collected target data of the pipeline are ensured. Secondly, by processing and analyzing the target data of each life - cycle stage, stage reports for each stage are generated, which is convenient for understanding the situation of the pipeline in each stage. At the same time, query management is provided, which is convenient for operation and maintenance personnel to make corresponding queries according to their needs, improving the convenience of life - cycle data management of the pipeline. Finally, by regularly conducting in - depth analysis on the stage reports of each life - cycle stage of the pipeline, it is convenient to predict the possible abnormalities of the pipeline, so as to provide corresponding operation and maintenance strategies, ensuring the reliability, accuracy, and comprehensiveness of life - cycle data management of the pipeline. At the same time, the operation stability and operation reliability of the pipeline are ensured.

[0029] Embodiment 2 Based on Embodiment 1, this embodiment provides a life - cycle data management system for pipelines, as Figure 2 shown. The data acquisition module includes: A stage determination unit, configured to obtain the entire life - cycle of the pipeline based on a management terminal and parse the entire life - cycle to obtain each life - cycle stage of the pipeline; A monitoring point determination unit, which is used to obtain the application scenario of the pipeline. At the same time, it extracts the business attributes of each life cycle stage, and determines the monitoring dimensions for each life cycle stage and the key points of monitoring under each monitoring dimension based on the application scenario and business attributes; A data acquisition unit, which is used for: Deploy corresponding sensors at each life cycle stage of the pipeline based on the monitoring dimensions and the key points of monitoring, and adapt the business parameters of the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation result, and obtain the target data of the pipeline at each life cycle stage.

[0030] In this embodiment, the life cycle stage refers to each different stage included in the pipeline obtained after analyzing the entire life cycle of the pipeline.

[0031] In this embodiment, the business attribute refers to the business type corresponding to each life cycle stage, such as pipeline installation or pipeline transportation, etc.

[0032] In this embodiment, the monitoring dimension refers to the monitoring type when monitoring data for each life cycle stage.

[0033] In this embodiment, the key point of monitoring refers to the matters that need to be emphasized in monitoring for each life cycle stage.

[0034] In this embodiment, the business parameter adaptation refers to configuring the operating parameters of the deployed sensors according to the monitoring dimensions and the key points of monitoring, with the aim of ensuring that the sensors can collect corresponding data according to requirements.

[0035] The beneficial effects of the above technical solution are: ensuring the comprehensiveness and reliability of the monitoring of the pipeline at each life cycle stage, and further ensuring the comprehensiveness and accuracy of the target data of the pipeline at each life cycle stage, providing reliable data support for the life cycle data management of the pipeline.

[0036] Embodiment 3 Based on Embodiment 1, this embodiment provides a life cycle data management system for pipelines. The data acquisition module includes: A data verification unit, which is used for: Obtain the reference state interval of the pipeline at each life cycle stage, and sequentially perform the first matching of the target data with the corresponding reference state interval, and verify the abnormal data based on the first matching result; At the same time, after the abnormal data verification passes, traverse the target data to obtain the data sequence corresponding to the target data, and sequentially analyze each single data in the data sequence to obtain the hierarchical structure of the target data; Perform a second match between the hierarchical structure and the standard hierarchical structure of each life cycle stage, and perform data integrity verification on the target data based on the second match result; A data storage unit, configured to, after the data integrity verification passes, perform stage division on the target data based on each life cycle stage of the pipeline, and perform stage-distinguished storage on the target data based on the stage division result.

[0037] In this embodiment, the reference state interval refers to the standard state corresponding to the pipeline when it is operating normally and without faults or abnormalities in each life cycle stage.

[0038] In this embodiment, the abnormal data verification refers to determining the data whose values of the target data are not within the corresponding reference state interval.

[0039] In this embodiment, the data sequence refers to the structure corresponding to the target data and the positional relationship between each data obtained after overall inspection and analysis of the target data. Among them, the single data is the specific data content corresponding to each moment in the data sequence.

[0040] In this embodiment, the hierarchical structure refers to the data types included in the target data and the association relationship between each data type.

[0041] In this embodiment, the standard hierarchical structure refers to the data types corresponding to the operation data of the pipeline in each life cycle stage and the association relationship between various types, which is the reference basis for verifying whether the target data is complete.

[0042] The beneficial effects of the above technical solution are: By determining the reference state interval and the standard hierarchical structure of the pipeline in each life cycle stage, it is possible to verify whether the target data of the pipeline is abnormal and whether the data is complete according to the reference state interval and the standard hierarchical structure, ensuring the accuracy and reliability of the final obtained target data of the pipeline.

[0043] Embodiment 4 Based on Embodiment 3, this embodiment provides a life cycle data management system for a pipeline. The data verification unit includes: A result acquisition subunit, configured to acquire the abnormal data verification result and the data integrity verification result of the target data, and start the supplementary improvement mechanism for the target data when there is a verification failure; A data improvement subunit, configured to: Determine the life cycle stage to be improved based on the start result, and simultaneously open the online supplementary permission and the offline verification and supplementary permission for the life cycle stage to be improved; Based on the activation result, receive online supplementary data and offline verification supplementary data simultaneously, analogize and deduplicate the online supplementary data and the offline verification supplementary data, and improve the target data based on the analogizing and deduplicating results.

[0044] In this embodiment, the supplementary and improvement mechanism refers to the specific solutions or measures for improving the target data when the target data is abnormal.

[0045] In this embodiment, the life cycle stage to be improved refers to the life cycle stage in which the target data is abnormal, that is, the life cycle stage that requires data improvement.

[0046] In this embodiment, the online supplementary permission refers to enabling data supplementation through the Internet or network methods.

[0047] In this embodiment, the offline verification supplementary permission refers to enabling users to go to the site for verification and then submit reports to supplement data.

[0048] The beneficial effects of the above technical solution are as follows: When the verification of the target data fails, the supplementary and improvement mechanism for the target data is started, so as to improve the target data according to the supplementary and improvement mechanism, ensuring the accuracy and reliability of the target data of the finally obtained pipeline.

[0049] Embodiment 5 Based on Embodiment 1, this embodiment provides a life cycle data management system for a pipeline. The data processing module includes: The data analysis unit is used for: Determine the analysis objectives for the pipeline in each life cycle stage based on the business process of the pipeline, and classify the target data in each life cycle stage by object; At the same time, determine the analysis dimensions for each type of data object and the limited indicators under each dimension based on the analysis objectives, and obtain the data management standards for each type of data object based on the analysis dimensions and the limited indicators; Traverse the data for each type of data object to obtain the data structure of each type of data object, and determine the data management method for each type of data object based on the data structure; Conduct conditional constraints on the data management standards based on the data management method, and conduct synchronous independent analysis on each type of data object in the target data based on the conditional constraint results; Determine the association relationships between different types of data objects in each life cycle stage, and perform association correction on the synchronous independent analysis results based on the association relationships to obtain the analysis results for each life cycle stage; The stage report generation unit is used for: Determine the stage report structure based on the report generation requirements, where the stage report structure includes an abstract, management results, and a summary; Analyze the analysis results to obtain the management results of each life cycle stage, and perform text parsing on the management results to obtain the management result representations of the corresponding key points; Generate a report abstract for each life cycle stage based on the management result representations, and determine the real-time status of the pipeline at each life cycle stage based on the management results; Generate management guidance suggestions for the pipeline based on the deviation degree between the real-time status and the pipeline operation management standards; Typeset the management results, report abstracts, and management guidance suggestions for each life cycle stage based on the stage report structure to obtain the stage report.

[0050] In this embodiment, the analysis objective refers to the management objective of the pipeline required for each proof cycle stage. For example, in the installation stage of the pipeline, the analysis objective is the stability of the pipeline installation and the tightness of the connection between pipelines, etc.

[0051] In this embodiment, object classification refers to splitting the target data under each life cycle stage into data sets corresponding to each analysis objective according to the analysis objective, aiming to facilitate the corresponding data analysis operations.

[0052] In this embodiment, the analysis dimension refers to the analysis items when analyzing each type of data object.

[0053] In this embodiment, the limiting index refers to the conditions or standards that need to be relied on when performing data analysis under each analysis dimension.

[0054] In this embodiment, the data structure is the association relationship between the data types and data contents included in each type of data object.

[0055] In this embodiment, the condition constraint refers to further optimizing and limiting the data management standards according to the data management method.

[0056] In this embodiment, synchronous independent analysis refers to simultaneously analyzing the corresponding data according to the condition constraint results corresponding to each type of data object, and the analysis between different types of data objects does not conflict.

[0057] In this embodiment, association correction refers to adjusting the synchronous independent analysis results according to the association relationship between different types of data objects, that is, considering the influence relationship between different types of data objects to ensure the reliability of the finally obtained analysis results.

[0058] In this embodiment, the stage report structure refers to the composition of reports corresponding to different life cycle stages.

[0059] In this embodiment, the management result representation refers to the management result corresponding to the key points, that is, the information representation that can ultimately be viewed by the user.

[0060] The beneficial effects of the above technical solution are as follows: By determining the analysis objectives for the pipeline in each life cycle stage, analyzing and managing the target data in each life cycle stage according to the analysis objectives, realizing reliable and effective management of the target data of the pipeline in each life cycle stage. At the same time, generating stage reports for the management results of the target data managed in each life cycle stage, realizing an intuitive and effective understanding of the real-time status of the pipeline in each life cycle stage, and improving the comprehensiveness and intelligence of the life cycle data management of the pipeline.

[0061] Embodiment 6 Based on Embodiment 1, this embodiment provides a life cycle data management system for pipelines. The data processing module includes: A data storage unit, used for: Obtaining the allowable query requirements for the target data and stage reports based on the management terminal, and configuring the database schema of the preset database based on the allowable query requirements and the structures of the target data and stage reports; Storing the target data and stage reports into the database based on the configuration result, and constructing query indexes for the target data and stage reports based on the storage structure; An interface configuration unit, used for: Binding query logics based on the allowable query requirements and query indexes, and performing the first condition adaptation on the search engine based on the query logic binding result; At the same time, determining the query permission ranges of different user objects for the target data and stage reports in different life cycle stages based on the management terminal, and performing the second condition adaptation on the search engine based on the query permission ranges; A visualization unit, used for obtaining a query mechanism based on the first condition adaptation result and the second condition adaptation result. At the same time, associating the query mechanism with the data display driver, and obtaining the final query management mechanism based on the association result.

[0062] In this embodiment, the allowable query requirements refer to the business contents that can be queried allowed by the management terminal, etc.

[0063] In this embodiment, the preset database is constructed in advance.

[0064] In this embodiment, the database schema refers to the strategy for managing the data in the preset database.

[0065] In this embodiment, the query index refers to the basis that can represent the specific positions of the target data and stage reports in the preset database.

[0066] In this embodiment, query logic binding refers to associating different query requirements with corresponding query indexes, so as to facilitate rapid determination of corresponding access data according to the query index when a query requirement exists.

[0067] In this embodiment, the first condition adaptation refers to configuring the query logic binding result on the search engine, thereby facilitating the execution of the corresponding query request through the search engine.

[0068] In this embodiment, the second condition adaptation refers to configuring permissions for users with different user identities on the search engine.

[0069] The beneficial effect of the above technical solution is: by storing the target data and stage reports according to the allowable query requirements, and at the same time, adapting the search engine according to the query index of the target data and stage reports and the query authority range of different users after storage, the query management mechanism is accurately and effectively constructed, thereby facilitating users to query the corresponding target data and stage reports according to their needs, providing great convenience for user queries.

[0070] Example 7 Based on Example 1, this embodiment provides a pipeline lifecycle data management system, an analysis and decision module, including: A feature determination unit, configured to: Regularly retrieve and read the stage reports of each pipeline life cycle stage to obtain historical data and maintenance records of the pipeline; Determine the wear status of the pipeline based on historical data and maintenance records, and determine component replacement characteristics of the pipeline based on the maintenance records; Obtain the surrounding environment status of the pipeline, and determine the factors affecting the pipeline and the influence weight of each factor based on the surrounding environment status; In-depth analysis unit for: Determine the supervision items and supervision indicators for pipelines based on management requirements, and conduct comprehensive analysis and prediction of pipeline loss status, pipeline component replacement characteristics, factors affecting the surrounding environment on pipelines, and the weight of each factor based on the supervision items and supervision indicators; Determine potential hidden dangers in pipelines based on comprehensive analysis and prediction; The strategy formulation unit is used to determine the operation and maintenance strategy for the pipeline based on potential risk points.

[0071] In this embodiment, the wear state refers to failures and natural wear of the pipeline.

[0072] In this embodiment, the component replacement feature refers to the replacement situation of different components in the pipeline, including the type of components replaced and the number of components replaced.

[0073] In this embodiment, the influencing factor refers to the environmental factor that affects the pipeline, such as environmental humidity, etc.

[0074] In this embodiment, the influence weight is used to characterize the degree of influence of different influencing factors on the pipeline.

[0075] In this embodiment, the supervision item refers to the type of monitoring of the pipeline.

[0076] In this embodiment, the supervision index refers to the supervision standard that needs to be met under each supervision item.

[0077] In this embodiment, the potential trouble point refers to the position point in the pipeline where a failure may occur.

[0078] The beneficial effects of the above technical solution are as follows: By regularly retrieving and analyzing the stage reports of each life cycle stage of the pipeline, the potential trouble points existing in the pipeline are determined, and then the operation and maintenance strategy of the pipeline is determined according to the potential trouble points, thereby ensuring the operation stability and reliability of the pipeline.

[0079] Embodiment 8 Based on Embodiment 7, this embodiment provides a life cycle data management system for a pipeline, and the strategy formulation unit includes: The strategy formulation sub-unit is used for: Obtain the potential trouble points existing in the pipeline, and determine the trouble type and trouble manifestation of the potential trouble points; Match similar operation and maintenance strategies from the preset strategy library based on the trouble type and trouble manifestation, and determine the deviation parameter between the trouble manifestation and the similar operation and maintenance strategies; Based on the deviation parameter, locally adjust the similar operation and maintenance strategies to obtain the final operation and maintenance strategy for the pipeline; The operation and maintenance management sub-unit is used for performing operation and maintenance management on the pipeline based on the operation and maintenance strategy, and performing real-time monitoring on the operation and maintenance management process, and feeding back and recording the real-time monitoring results.

[0080] In this embodiment, the trouble manifestation refers to the directly observable fault phenomenon shown by the potential trouble point.

[0081] In this embodiment, the preset strategy library is pre-constructed and used to store different operation and maintenance strategies.

[0082] In this embodiment, the deviation parameter refers to the difference between the trouble manifestation and the trouble manifestation corresponding to the similar operation and maintenance strategy.

[0083] The beneficial effects of the above technical solution are as follows: By matching similar operation and maintenance strategies from a preset strategy library according to the potential hazard types and hazard manifestations of potential hazard points, and making local adjustments to the similar operation and maintenance strategies, the operation and maintenance strategies for pipelines are determined, and then the operation and maintenance management of pipelines is realized according to the operation and maintenance strategies, ensuring the reliability of pipelines and improving the comprehensiveness of pipeline management at the same time.

[0084] Embodiment 9 This embodiment provides a method for managing life cycle data of pipelines, as Figure 3 shown, including: Step 1: Collect the target data of the pipeline in each life cycle stage, and store them in a stage - differentiated manner after verifying the collected target data; Step 2: Analyze the corresponding target data based on the data management standards of each life cycle stage to generate a stage report, and perform query management on the target data and stage reports of each life cycle stage; Step 3: Regularly conduct in - depth analysis on the stage reports of each life cycle stage of the pipeline, and determine the operation and maintenance strategies for the pipeline based on the results of the in - depth analysis.

[0085] The beneficial effects of the above technical solution are as follows: By collecting the target data of the pipeline in each life cycle stage, verifying and storing the target data, the comprehensiveness and reliability of the collected target data of the pipeline are ensured. Secondly, by processing and analyzing the target data of each life cycle stage to generate a stage report for each stage, it is convenient to understand the situation of the pipeline in each stage. At the same time, providing query management facilitates the corresponding queries by operation and maintenance personnel according to their needs, improving the convenience of life cycle data management of pipelines. Finally, regularly conducting in - depth analysis on the stage reports of each life cycle stage of the pipeline facilitates the prediction of possible abnormalities in the pipeline, thereby providing corresponding operation and maintenance strategies, ensuring the reliability, accuracy and comprehensiveness of life cycle data management of pipelines, and at the same time ensuring the operation stability and reliability of the pipeline.

[0086] Embodiment 10 On the basis of Embodiment 9, this embodiment provides a method for managing life cycle data of pipelines. In Step 1, collecting the target data of the pipeline in each life cycle stage includes: Based on the management terminal, obtain the full life cycle of the pipeline, and analyze the full life cycle to obtain each life cycle stage of the pipeline; Obtain the application scenario of the pipeline. At the same time, extract the business attributes of each life cycle stage, and determine the monitoring dimensions and the monitoring focuses under each monitoring dimension based on the application scenario and business attributes; Deploy corresponding sensors at each life cycle stage of the pipeline based on the monitoring dimensions and monitoring focuses, and adapt the business parameters of the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation results, and obtain the target data of the pipeline at each life cycle stage.

[0087] The beneficial effects of the above technical solution are: ensuring the comprehensiveness and reliability of the monitoring of the pipeline at each life cycle stage, and further ensuring the comprehensiveness and accuracy of the target data of the pipeline at each life cycle stage finally obtained, providing reliable data support for the life cycle data management of the pipeline.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A life cycle data management system for a pipeline, characterized in that, including: A data acquisition module, configured to acquire target data of a pipeline in each life cycle stage, and perform stage - differentiated storage after verifying the acquired target data; A data processing module, configured to analyze the corresponding target data based on the data management standards of each life cycle stage, generate stage reports, and perform query management on the target data and stage reports of each life cycle stage; An analysis and decision - making module, configured to regularly perform in - depth analysis on the stage reports of each life cycle stage of the pipeline, and determine the operation and maintenance strategy for the pipeline based on the results of the in - depth analysis.

2. The life cycle data management system for a pipeline according to claim 1, wherein The data acquisition module includes: A stage determination unit, configured to obtain the full life cycle of the pipeline based on a management terminal, and parse the full life cycle to obtain each life cycle stage of the pipeline; A monitoring point determination unit, configured to obtain the application scenario of the pipeline, and at the same time, extract the business attributes of each life cycle stage, and determine the monitoring dimensions for each life cycle stage and the monitoring focus under each monitoring dimension based on the application scenario and business attributes; A data acquisition unit, configured to: Deploy corresponding sensors in each life cycle stage of the pipeline based on the monitoring dimensions and monitoring focus, and perform business parameter adaptation on the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation results, and obtain the target data of the pipeline in each life cycle stage.

3. The life cycle data management system of a pipeline according to claim 1, wherein, The data acquisition module includes: A data verification unit, configured to: Obtain the reference state interval of the pipeline in each life cycle stage, and sequentially perform a first match between the target data and the corresponding reference state interval, and perform abnormal data verification on the target data based on the first match result; At the same time, after the abnormal data verification passes, traverse the target data to obtain the data sequence corresponding to the target data, and sequentially parse each single data in the data sequence to obtain the hierarchical structure of the target data; Perform a second match between the hierarchical structure and the standard hierarchical structure of each life cycle stage, and perform data integrity verification on the target data based on the second match result; A data storage unit, configured to, after the data integrity verification passes, perform stage division on the target data based on each life cycle stage of the pipeline, and perform stage - differentiated storage on the target data based on the stage division result.

4. The life cycle data management system of a pipeline according to claim 3, wherein The data verification unit includes: A result acquisition sub - unit, configured to obtain the abnormal data verification result and data integrity verification result of the target data, and start the supplementary improvement mechanism for the target data when there is a verification failure; A data improvement sub - unit, configured to: Determine the life cycle stage to be improved based on the start result, and simultaneously open the online supplementary permission and offline verification and supplementary permission for the life cycle stage to be improved; Based on the opening result, receive the online supplementary data and offline verification and supplementary data at the same time, analogize and deduplicate the online supplementary data and offline verification and supplementary data, and improve the target data based on the analogizing and deduplicating results.

5. The life cycle data management system of a pipeline according to claim 1, characterized in that The data processing module includes: A data analysis unit, configured to: Determine the analysis target for the pipeline in each life cycle stage based on the business process of the pipeline, and perform object classification on the target data of each life cycle stage based on the analysis target; Meanwhile, determine the analysis dimensions for each type of data object and the limiting indicators under each dimension based on the analysis objectives, and obtain the data management standards for each type of data object based on the analysis dimensions and limiting indicators; Traverse the data for each type of data object to obtain the data structure of each type of data object, and determine the data management method for each type of data object based on the data structure; Conduct conditional constraints on the data management standards based on the data management method, and conduct synchronous independent analysis on each type of data object in the target data based on the conditional constraint results; Determine the association relationships between different types of data objects in each life cycle stage, and perform association correction on the synchronous independent analysis results based on the association relationships to obtain the analysis results for each life cycle stage; Stage report generation unit, for: Determine the stage report structure based on the report generation requirements, where the stage report structure includes an abstract, management results, and a summary; Parse the analysis results to obtain the management results for each life cycle stage, and perform text parsing on the management results to obtain the management result representations of the corresponding key points; Generate a report abstract for each life cycle stage based on the management result representations, and determine the real-time status of the pipeline in each life cycle stage based on the management results; Generate management guidance suggestions for the pipeline based on the deviation degree between the real-time status and the pipeline operation management standards; Typeset the management results, report abstracts, and management guidance suggestions for each life cycle stage based on the stage report structure to obtain the stage report.

6. The life cycle data management system of a pipeline according to claim 1, characterized in that Data processing module, including: Data storage unit, for: Obtain the allowable query requirements provided for the target data and stage reports based on the management terminal, and configure the database schema of the preset database based on the allowable query requirements and the structures of the target data and stage reports; Store the target data and stage reports based on the configuration results, and construct query indexes for the target data and stage reports based on the storage structures; Interface configuration unit, for: Bind the query logic based on the allowable query requirements and query indexes, and perform the first condition adaptation on the search engine based on the query logic binding results; Meanwhile, determine the query permission ranges of different user objects for the target data and stage reports in different life cycle stages based on the management terminal, and perform the second condition adaptation on the search engine based on the query permission ranges; Visualization unit, for obtaining the query mechanism based on the first condition adaptation results and the second condition adaptation results. Meanwhile, associate the query mechanism with the data display driver, and obtain the final query management mechanism based on the association results.

7. A lifecycle data management system for a pipeline according to claim 1, characterized in that, Analysis and decision-making module, including: Feature determination unit, for: Regularly retrieve the stage reports of each life cycle stage of the pipeline, read the stage reports, and obtain the historical data and maintenance records of the pipeline; Determine the loss status of the pipeline based on the historical data and maintenance records, and determine the component replacement characteristics of the pipeline based on the maintenance records; Obtain the surrounding environment status of the pipeline, and determine the influencing factors on the pipeline and the influence weights of each influencing factor based on the surrounding environment status; In-depth analysis unit, for: Determine the supervision items for the pipeline and the supervision indicators for each supervision item based on management requirements, and conduct a comprehensive analysis and prediction on the loss status of the pipeline, the component replacement characteristics of the pipeline, the influencing factors of the surrounding environment on the pipeline, and the influence weights of each influencing factor based on the supervision items and supervision indicators; Determine the potential hidden danger points existing in the pipeline based on the comprehensive analysis and prediction; A strategy formulation unit, configured to determine the operation and maintenance strategy for the pipeline based on the potential hidden danger points.

8. A life cycle data management system for a pipeline according to claim 7, wherein, The strategy formulation unit includes: A strategy formulation subunit, configured to: Obtain the potential hidden danger points existing in the pipeline, and determine the hidden danger types and hidden danger characteristics of the potential hidden danger points; Match similar operation and maintenance strategies from a preset strategy library based on the hidden danger types and hidden danger characteristics, and determine the deviation parameters between the hidden danger characteristics and the similar operation and maintenance strategies; Make a partial adjustment to the similar operation and maintenance strategies based on the deviation parameters to obtain the final operation and maintenance strategy for the pipeline; An operation and maintenance management subunit, configured to perform operation and maintenance management on the pipeline based on the operation and maintenance strategy, monitor the operation and maintenance management process in real time, and feedback and record the real-time monitoring results.

9. A method for managing lifecycle data of a pipeline, characterized in that It includes: Step 1: Collect the target data of the pipeline in each life cycle stage, and perform stage-based classification and storage after verifying the collected target data; Step 2: Analyze the corresponding target data based on the data management standards of each life cycle stage to generate a stage report, and perform query management on the target data and stage reports of each life cycle stage; Step 3: Regularly conduct in-depth analysis on the stage reports of each life cycle stage of the pipeline, and determine the operation and maintenance strategy for the pipeline based on the in-depth analysis results.

10. A method for managing life cycle data of a pipeline according to claim 9, characterized in that, In Step 1, collecting the target data of the pipeline in each life cycle stage includes: Obtain the full life cycle of the pipeline based on the management terminal, and parse the full life cycle to obtain each life cycle stage of the pipeline; Obtain the application scenario of the pipeline. At the same time, extract the business attributes of each life cycle stage, and determine the monitoring dimensions for each life cycle stage and the monitoring focus under each monitoring dimension based on the application scenario and business attributes; Deploy corresponding sensors in each life cycle stage of the pipeline based on the monitoring dimensions and monitoring focus, and adapt the business parameters of the corresponding sensors; Monitor the pipeline status in sequence according to the execution order of each life cycle stage of the pipeline based on the business parameter adaptation results to obtain the target data of the pipeline in each life cycle stage.

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