Pipeline internal inspection data management method and system

Abstract

The invention provides a pipeline internal inspection data management method and system, and belongs to the technical field of data management, and the method specifically comprises the steps: determining the equipment deviation types of different inspection devices according to the analysis results of the historical inspection data of the different inspection devices, taking the time period of the inspection data of the multiple inspection devices as a coincidence time period, and setting the equipment deviation types of the different inspection devices; determining equipment deviation types of the inspection equipment corresponding to different coincidence time periods, and determining credible time periods in the coincidence time periods based on the equipment deviation types; according to the re-checking result of the checking data of the checking devices of different device deviation types in the credible time period, the checking data of the adjacent time periods and the interval time period number of the credible time period, the checking processing strategy of the checking data of the adjacent time periods of the credible time period is determined, the checking processing reliability of the checking data is improved, and the checking efficiency is improved. And the accuracy of test data is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and in particular relates to a pipeline internal inspection data management method and system. Background Art

[0002] The integrity of the pipeline system directly affects the medium transportation efficiency and container safety. Generally, it is necessary to inspect and process the pipeline at a fixed time period.

[0003] Therefore, in order to manage and process the inspection data in order to more comprehensively evaluate and understand the true status of the target, the invention patent application CN202310092173.X "Data Management Method, Data Management System and Storage Medium for Copper Foil Production Materials" compares the inspection data of copper foil production materials with the set inspection standards, obtains the comparison results of the copper foil production materials, and stores the comparison results and matching procurement information in a database. However, there are the following technical problems: For inspection agencies, the detection accuracy of inspection equipment is not only related to its own parameters, but also to the operating environment of the inspection equipment. Changes in external data such as temperature, humidity, and power supply will cause the inspection accuracy of the inspection equipment to be affected to a certain extent. Relying solely on temperature and humidity monitoring data may not be able to accurately identify defects when there are problems with the monitoring equipment. At the same time, when there are abnormalities in external data such as temperature and humidity in the environment, the inspection results of multiple inspection equipment will all be abnormal. Therefore, how to determine the review processing strategy for the inspection data of the adjacent time periods of the overlapping time period based on the review data of the inspection results in the overlapping time period with multiple inspection equipment to ensure the reliability of the inspection data and the efficiency of the review processing has become a technical problem that needs to be solved urgently.

[0004] In order to solve the above technical problems, the present application provides a pipeline internal inspection data management method and system. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, in a first aspect, the present application provides a pipeline internal inspection data management method, which specifically includes: S1 obtains ambient temperature and humidity data corresponding to the pipeline internal inspection data, determines distribution data of time periods when the monitoring data is not within a preset range based on the monitoring data of the ambient temperature and humidity data, and proceeds to the next step when it is determined based on the distribution data that the reliability of the ambient data meets the requirements; S2 determines the equipment deviation type of different inspection equipment based on the analysis results of historical inspection data of different inspection equipment; S3 regards the time period in which inspection data of multiple inspection devices exist at the same time as the overlapping time period, determines the equipment deviation type of the inspection device corresponding to different overlapping time periods, determines the trusted time period in the overlapping time period based on the equipment deviation type, and when the distribution data of the trusted time period meets the requirements, determines the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period according to the review results of the inspection data of the inspection devices with different equipment deviation types in the trusted time period, the inspection data of the adjacent time periods and the number of time periods between the trusted time period.

[0006] The beneficial effects of the present invention are: By judging whether the distribution data of the trusted time periods meets the requirements, the time periods with a large number of trusted time periods and a relatively dispersed distribution, that is, the time periods with a small number of intervals between different trusted time periods, are screened. This avoids the technical problem of insufficient reliability of verification processing caused by only considering trusted time periods in time periods with a large number of intervals between trusted time periods, and realizes the determination of differentiated verification processing strategies in different time periods.

[0007] Based on the review results of the inspection data of the inspection equipment with different equipment deviation types in the trusted time period, the inspection data of adjacent time periods and the number of interval time periods with the trusted time period, the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period is determined. Not only the difference in the risk degree of external environmental interference in the trusted time period due to the difference in the error degree of the verification data in the trusted time period is taken into account, but also the difference in the risk of external interference due to the difference in the number of interval time periods, and the impact of external interference on the accuracy of the overall inspection data due to the difference in data volume are taken into account. The determination of the verification processing strategy for the inspection data of adjacent time periods is realized, and the efficiency and reliability of the verification processing are guaranteed.

[0008] A further technical solution is that the monitoring data includes monitoring temperature and monitoring humidity at different times.

[0009] A further technical solution is that the preset range is determined according to a preset control interval of the temperature and humidity of the testing equipment.

[0010] A further technical solution is to determine whether the reliability of environmental data meets the requirements, including: The period when the monitoring data is not within the preset range is regarded as the monitoring data deviation period; The date of the period when the monitoring data deviation occurs is regarded as the deviation date; Whether the reliability of the environmental data meets the requirements is determined based on the data volume of the inspection data on different deviation dates.

[0011] A further technical solution is to determine whether the reliability of the environmental data meets the requirements based on the amount of inspection data on different deviation dates, which specifically includes: When the data volume of the inspection data in different deviation dates is less than the preset data volume threshold and the number of deviation dates is within the preset date quantity range, it is determined that the reliability of the environmental data meets the requirements.

[0012] A further technical solution is that when the reliability of the environmental data does not meet the requirements, the inspection data to be verified is extracted according to a preset ratio.

[0013] A further technical solution is that the method for determining the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period is: According to the review results of the inspection data of the inspection equipment of different equipment deviation types in the trustworthy period, the inspection data with errors in the review results are determined and used as the error inspection data; determining an error checking device among the checking devices according to the amount of error checking data of different checking devices; Based on the number of error checking devices in the trusted period and the amount of the check data in the adjacent periods, a verification processing strategy for the check data in the adjacent periods is determined.

[0014] A further technical solution is that the error checking device is a checking device in which the amount of error checking data is greater than a preset error data amount threshold.

[0015] A further technical solution is to determine a verification processing strategy for the verification data of adjacent time periods based on the number of error verification devices in the trusted time period and the amount of verification data of adjacent time periods, specifically including: Determine the error coefficient of the credible period based on the ratio of the number of error inspection devices in the credible period to the number of inspection devices; When the error coefficient of a credible period is greater than a preset error coefficient threshold, the inspection data of the adjacent periods are all verified; When the error coefficient of the trusted time period is not greater than the preset error coefficient threshold, and when the error coefficient is not less than the second error coefficient threshold, the verification processing strategy of the adjacent verification data is determined based on the data volume of the verification data in the adjacent time period and the number of interval time periods between the adjacent time period and the trusted time period. When the error coefficient is less than the second error coefficient threshold, only the verification data belonging to the error verification device in the adjacent time period in the trusted time period is verified.

[0016] In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for managing internal pipeline inspection data when running the computer program.

[0017] Other features and advantages will be described in the following description, and in part will become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings.

[0020] Figure 1 It is a flow chart of a pipeline internal inspection data management method; Figure 2 It is a flow chart to determine whether the reliability of environmental data meets the requirements; Figure 3 is a flow chart of a method for determining a trustworthy period in a coincidence period; Figure 4 The present invention is a flowchart of a method for determining a verification processing strategy for verification data of adjacent time periods of a trusted time period. DETAILED DESCRIPTION

[0021] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the figures represent like or similar structures, and thus their detailed description will be omitted.

[0022] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0023] Verification processing is to conduct a second inspection on the inspection data that has been inspected, so as to verify the authenticity and error of the inspection data.

[0024] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a pipeline internal inspection data management method is provided, which specifically includes: S1 obtains ambient temperature and humidity data corresponding to the pipeline internal inspection data, determines distribution data of time periods when the monitoring data is not within a preset range based on the monitoring data of the ambient temperature and humidity data, and proceeds to the next step when it is determined based on the distribution data that the reliability of the ambient data meets the requirements; Furthermore, the monitoring data includes monitoring temperature and monitoring humidity at different times.

[0025] Specifically, the preset range is determined according to the preset control interval of the temperature and humidity of the testing equipment.

[0026] Specifically, such as Figure 2 As shown, determine that the reliability of environmental data meets the requirements, including: The period when the monitoring data is not within the preset range is regarded as the monitoring data deviation period; The date of the period when the monitoring data deviation occurs is regarded as the deviation date; Whether the reliability of the environmental data meets the requirements is determined based on the data volume of the inspection data on different deviation dates.

[0027] Furthermore, according to the amount of inspection data on different deviation dates, determining whether the reliability of the environmental data meets the requirements specifically includes: When the data volume of the inspection data in different deviation dates is less than the preset data volume threshold and the number of deviation dates is within the preset date quantity range, it is determined that the reliability of the environmental data meets the requirements.

[0028] It is understandable that when the reliability of the environmental data does not meet the requirements, the inspection data to be verified is extracted according to a preset ratio.

[0029] In another possible embodiment, determining that the reliability of the environmental data meets the requirements specifically includes: S11: taking a period in which the monitoring data is not within a preset range as a monitoring data deviation period, and determining a verification interference coefficient of the environmental data according to the number of the monitoring data deviation periods and the amount of verification data in the monitoring data deviation periods; It should be noted that before entering step S12, it is necessary to first determine whether there is a monitoring data deviation period, whether the number of monitoring data deviation periods meets the requirements, and whether the sum of the inspection data in different monitoring data deviation periods meets the requirements. Specifically, a threshold method is used to determine whether the requirements are met.

[0030] Specifically, when there is no monitoring data deviation period or the number of monitoring data deviation periods meets the requirement and the sum of the data volume of the inspection data in different monitoring data deviation periods meets the requirement, it is determined that the reliability of the environmental data meets the requirement.

[0031] It can be understood that when the number of monitoring data deviation periods does not meet the requirement and the sum of the data amounts of the inspection data in different monitoring data deviation periods does not meet the requirement, it is directly determined that the reliability of the environmental data does not meet the requirement.

[0032] In addition, when the number of monitoring deviation time periods does not meet the requirements or the sum of the data volume of the inspection data in different monitoring data deviation time periods does not meet the requirements, it is necessary to further determine whether the inspection interference coefficient of the environmental data meets the requirements. When the inspection interference coefficient does not meet the requirements, it is determined that the reliability of the environmental data does not meet the requirements.

[0033] It should also be noted that when the interference coefficient meets the requirements, the process proceeds to step S12.

[0034] S12: taking the date with the monitoring data deviation period as the deviation date, determining the number of the deviation dates, and determining the distribution dispersion coefficient based on the number of monitoring data deviation periods in different deviation dates; It should be noted that before entering step S13, it is necessary to further determine whether the number of deviation dates meets the requirements and whether the distribution dispersion coefficient meets the requirements. When the number of deviation dates does not meet the requirements or the distribution dispersion coefficient does not meet the requirements, it is determined that the reliability of the environmental data does not meet the requirements.

[0035] Specifically, when the number of deviation dates meets the requirements and the distribution dispersion coefficient meets the requirements, it is necessary to further determine whether the distribution dispersion coefficient is within the preset dispersion coefficient range. If so, when the inspection interference coefficient is within the preset interference coefficient range, it is directly determined that the reliability of the environmental data does not meet the requirements.

[0036] It should be noted that, only when the inspection interference coefficient is not within the preset interference coefficient interval or the distribution dispersion coefficient is not within the preset dispersion coefficient interval, the process proceeds to step S13.

[0037] S13 determines a comprehensive interference coefficient of the environmental data according to the inspection interference coefficient and the distribution dispersion coefficient of the environmental data, and determines whether the reliability of the environmental data meets the requirements based on the comprehensive interference coefficient.

[0038] Specifically, when the comprehensive interference coefficient is greater than a preset comprehensive interference coefficient threshold, it is determined that the reliability of the environmental data does not meet the requirement.

[0039] S2 determines the equipment deviation type of different inspection equipment based on the analysis results of historical inspection data of different inspection equipment; Furthermore, the equipment deviation type of the inspection equipment is determined based on the number of errors in the historical inspection data of the inspection equipment. Specifically, when the number of errors is greater than a preset error threshold, the equipment deviation type of the inspection equipment is determined to be a Class I deviation type. If not, the equipment deviation type of the inspection equipment is determined to be a Class II deviation type.

[0040] S3 regards the time period in which inspection data of multiple inspection devices exist at the same time as the overlapping time period, determines the equipment deviation type of the inspection device corresponding to different overlapping time periods, determines the trusted time period in the overlapping time period based on the equipment deviation type, and when the distribution data of the trusted time period meets the requirements, determines the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period according to the review results of the inspection data of the inspection devices with different equipment deviation types in the trusted time period, the inspection data of the adjacent time periods and the number of time periods between the trusted time period.

[0041] Specifically, such as Figure 3 As shown, the method for determining the credible period in the overlapping period is: Based on the device deviation type of the inspection device corresponding to the overlap period, determine the inspection device of a deviation type in the overlap period and use it as a trusted inspection device; determining the total amount of the inspection data of the overlap period according to the amount of the inspection data of the trusted inspection device and the number of trusted inspection devices; Whether the overlapping period is a credible period is determined according to the total amount of the verification data.

[0042] Furthermore, when the total amount of the inspection data in the overlapping period is greater than a preset data amount threshold, the overlapping period is determined to be a credible period.

[0043] In another possible embodiment, the method for determining the credible period in the overlapping period is: Based on the device deviation type of the inspection device corresponding to the overlap period, determine the inspection device of a deviation type in the overlap period and use it as a trusted inspection device; According to the data volume of the test data of the trusted test device, a trusted test device whose data volume is greater than a preset data volume value is determined and regarded as a data sufficient device; Based on the number of data sufficient devices in the coincident time period, it is determined whether the coincident time period is a trusted time period.

[0044] Furthermore, when the number of devices with sufficient data in the overlap period is greater than a preset threshold value of the number of sufficient devices, the overlap period is determined to be a credible period.

[0045] Specifically, determining whether the distribution data of the trustworthy period meets the requirements includes: When the average value of the number of interval time periods between different credible time periods is less than a preset number threshold, it is determined that the distribution data of the credible time periods meets the requirements.

[0046] It is understandable that when the distribution data of the credible time period does not meet the requirements, the inspection data to be verified is extracted according to the second preset ratio, where the second preset ratio is smaller than the preset ratio, which is specifically determined by expert scoring.

[0047] Furthermore, the verification process is to perform a secondary inspection process on the pipeline corresponding to the inspection data.

[0048] It should be noted that the adjacent time period is a time period whose number of interval time periods between the adjacent time period and the trusted time period is within a preset interval of the number of interval time periods.

[0049] Specifically, such as Figure 4 As shown, the method for determining the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period is: According to the review results of the inspection data of the inspection equipment of different equipment deviation types in the trustworthy period, the inspection data with errors in the review results are determined and used as the error inspection data; determining an error checking device among the checking devices according to the amount of error checking data of different checking devices; Based on the number of error checking devices in the trusted period and the amount of the check data in the adjacent periods, a verification processing strategy for the check data in the adjacent periods is determined.

[0050] Furthermore, the error checking device is a checking device in which the amount of error checking data is greater than a preset error data amount threshold.

[0051] It is understandable that, based on the number of error checking devices in the trusted period and the amount of check data in adjacent periods, the verification processing strategy for the check data in the adjacent periods is determined, specifically including: Determine the error coefficient of the credible period based on the ratio of the number of error inspection devices in the credible period to the number of inspection devices; When the error coefficient of a credible period is greater than a preset error coefficient threshold, the inspection data of the adjacent periods are all verified; When the error coefficient of the trusted time period is not greater than the preset error coefficient threshold, and when the error coefficient is not less than the second error coefficient threshold, the verification processing strategy of the adjacent verification data is determined based on the data volume of the verification data in the adjacent time period and the number of interval time periods between the adjacent time period and the trusted time period. When the error coefficient is less than the second error coefficient threshold, only the verification data belonging to the error verification device in the adjacent time period in the trusted time period is verified.

[0052] Furthermore, a verification processing strategy for the adjacent verification data is determined according to the amount of verification data in the adjacent time periods and the number of interval time periods between the adjacent time period and the trusted time period, specifically including: When the amount of verification data in the adjacent time periods is less than the preset verification data amount, all verification data are verified; When the amount of verification data in the adjacent time periods is not less than the preset verification data amount, and when the number of interval time periods between the adjacent time period and the trusted time period is less than the preset interval time period number threshold, all verification data in the adjacent time periods are verified; when the number of interval time periods between the adjacent time period and the trusted time period is not less than the preset interval time period number threshold, the verification data belonging to the error verification device in the trusted time period in the adjacent time period is verified.

[0053] Specifically, the method for determining the verification processing strategy of the inspection data of adjacent time periods is: According to the verification results of the inspection data of the inspection devices of different device deviation types in the trusted period, the inspection data with errors in the verification results are determined and used as error verification data, and the error verification device among the inspection devices is determined according to the amount of error verification data of different inspection devices; It should be further explained that, in the above steps, it is also necessary to further determine that when there is no error check data in the trusted time period, the check data to be verified in the adjacent time period is extracted according to the second preset ratio; It can be understood that when there is error check data in the trusted time period, it is necessary to further determine whether the total amount of error check data in the trusted time period and the number of error check devices meet the requirements. When any of the total amount of error check data in the trusted time period and the number of error check devices do not meet the requirements, the probability of external interference is relatively high. Therefore, all the check data in the adjacent time periods are directly verified.

[0054] Furthermore, when the total amount of error-checked data in the trusted period and the number of error-checking devices both meet the requirements, the process proceeds to the next step.

[0055] Determine the external interference anomaly coefficient of the trusted period based on the number of error checking devices in the trusted period, combined with the device deviation types of different error checking devices and the number of verification devices; It is understandable that before proceeding to the next step, it is also necessary to determine whether the second type of deviation inspection equipment belongs to error verification equipment in the said trusted time period. When the second type of deviation inspection equipment belongs to error verification equipment in the said trusted time period, the probability of external interference is relatively high at this time, so all inspection data in adjacent time periods are directly verified.

[0056] At the same time, if the inspection equipment of the second type of deviation does not belong to the error verification equipment in the said trusted time period, it means that the probability of external interference at this time is small, so only the inspection data of the error verification equipment in the trusted time period in the said adjacent time period is verified.

[0057] If and only if there are error verification devices in the trusted period for the second type of deviation inspection devices but not all of them belong to the error verification devices, the external interference anomaly coefficient is determined and the process proceeds to the next step.

[0058] Based on the external interference abnormality probability and the data volume of the verification data between the trustworthy time periods, a verification processing strategy for the verification data of the sub-time periods between the trustworthy time periods is determined.

[0059] It should be noted that, based on the probability of the external interference anomaly and the amount of the verification data between the trusted time periods, a verification processing strategy for the verification data of the sub-periods between the trusted time periods is determined, specifically including: When the probability of the external interference anomaly is greater than the preset error probability coefficient threshold, the first verification processing strategy is adopted to perform verification processing on the inspection data; When the abnormal probability of different external interferences is not greater than the preset error probability coefficient threshold, and when the abnormal probability of external interference is within the preset abnormal probability interval, only the inspection data of the error inspection device in the adjacent time period in the trusted time period is verified and processed; when the abnormal probability of external interference is no longer within the preset abnormal probability interval, the verification and processing strategy of the adjacent inspection data is determined based on the amount of inspection data in the adjacent time period and the number of interval time periods between the adjacent time period and the trusted time period.

[0060] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for managing internal pipeline inspection data when running the computer program.

[0061] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0062] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A pipeline internal inspection data management method, characterized in that: Specifically include: Obtaining ambient temperature and humidity data corresponding to the pipeline internal inspection data, determining distribution data of time periods when the monitoring data is not within a preset range based on the monitoring data of the ambient temperature and humidity data, and proceeding to the next step when it is determined based on the distribution data that the reliability of the ambient data meets the requirements; Determine the equipment deviation type of different inspection equipment based on the analysis results of historical inspection data of different inspection equipment; The time period in which inspection data of multiple inspection devices exist at the same time is regarded as the overlapping time period, and the equipment deviation type of the inspection device corresponding to different overlapping time periods is determined. The trusted time period in the overlapping time period is determined based on the equipment deviation type. When the distribution data of the trusted time period meets the requirements, the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period is determined according to the review results of the inspection data of the inspection devices with different equipment deviation types in the trusted time period, the inspection data of the adjacent time periods and the number of time periods between the trusted time period and the trusted time period.

2. The pipeline internal inspection data management method according to claim 1, characterized in that: The monitoring data includes the monitored temperature and the monitored humidity at different times.

3. The pipeline internal inspection data management method according to claim 1, characterized in that: The preset range is determined according to the preset control interval of the temperature and humidity of the testing equipment.

4. The pipeline internal inspection data management method according to claim 1, characterized in that: Determine whether the reliability of environmental data meets the requirements, including: The period when the monitoring data is not within the preset range is regarded as the monitoring data deviation period; The date of the period when the monitoring data deviation occurs is regarded as the deviation date; Whether the reliability of the environmental data meets the requirements is determined based on the data volume of the inspection data on different deviation dates.

5. The pipeline internal inspection data management method according to claim 4, characterized in that: Determine whether the reliability of the environmental data meets the requirements based on the amount of inspection data on different deviation dates, specifically including: When the data volume of the inspection data in different deviation dates is less than the preset data volume threshold and the number of deviation dates is within the preset date quantity range, it is determined that the reliability of the environmental data meets the requirements.

6. The pipeline internal inspection data management method according to claim 1, characterized in that: When the reliability of the environmental data does not meet the requirements, the inspection data to be verified is extracted according to a preset ratio.

7. The pipeline internal inspection data management method according to claim 1, characterized in that: The method for determining the verification processing strategy of the inspection data of the adjacent time periods of the trusted time period is: According to the review results of the inspection data of the inspection equipment of different equipment deviation types in the trustworthy period, the inspection data with errors in the review results are determined and used as the error inspection data; determining an error checking device among the checking devices according to the amount of error checking data of different checking devices; Based on the number of error checking devices in the trusted period and the amount of the check data in the adjacent periods, a verification processing strategy for the check data in the adjacent periods is determined.

8. The pipeline internal inspection data management method according to claim 7, characterized in that: The error checking device is a checking device whose data amount of error checking data is greater than a preset error data amount threshold.

9. The pipeline internal inspection data management method according to claim 7, characterized in that: Based on the number of error checking devices in the trusted period and the amount of check data in adjacent periods, a verification processing strategy for the check data in the adjacent periods is determined, specifically including: Determine the error coefficient of the credible period based on the ratio of the number of error inspection devices in the credible period to the number of inspection devices; When the error coefficient of a credible period is greater than a preset error coefficient threshold, the inspection data of the adjacent periods are all verified; When the error coefficient of the trusted time period is not greater than the preset error coefficient threshold, and when the error coefficient is not less than the second error coefficient threshold, the verification processing strategy of the adjacent verification data is determined based on the data volume of the verification data in the adjacent time period and the number of interval time periods between the adjacent time period and the trusted time period. When the error coefficient is less than the second error coefficient threshold, only the verification data belonging to the error verification device in the adjacent time period in the trusted time period is verified.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a pipeline internal inspection data management method according to any one of claims 1 to 9 is executed.

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