Pipeline defect feature tag online management system and method

Abstract

The invention discloses a pipeline defect feature tag online management system and method, relates to the technical field of defective pipeline management, and aims to solve the problems of inaccurate acquisition and unsafe storage of pipeline defect data. According to the pipeline defect feature tag online management system and method, encryption of different methods and strengths and confirmation of key length are performed according to defect levels of different data in the stored data, so that the security encryption strength of the stored data is further ensured, the stored data is signed by using a private key after encryption of the stored data is completed, and the security of the stored data is improved. The receiver can use the public key of the sender to verify the signature to ensure that the data is not tampered, so that the integrity and security of the data are further improved, the data can be analyzed, shared and utilized more easily through format conversion of the data, the efficiency and quality of data processing are improved, and the method is suitable for popularization and application. The reliability of the data can be improved to the maximum extent by converting the target pipeline data into the target file.

Description

Technical Field

[0001] The present invention relates to the technical field of defective pipeline management, and in particular to an online management system and method for pipeline defect feature labels. Background Art

[0002] Defect pipeline management refers to the management and control of work-in-progress defects, unresolved defects, and newly introduced defects during software development or maintenance to ensure that defects are identified, tracked, repaired, and verified to be closed.

[0003] The Chinese patent with publication number CN103167544B discloses a pipeline intelligent method and system based on segmentation of communication pipelines to generate labels. The method mainly generates segmented pipeline labels by segmenting the end-to-end communication process in the communication pipeline, which can monitor, control and manage the communication pipeline more flexibly and specifically. It is convenient for operators to generate unified formatted monitoring information for each segment of the network, which is conducive to comparative analysis of the communication pipeline status and helps to collect statistics on the link quality, resource occupancy, and user behavior of the communication pipeline. Although the above patent solves the problem of label management, the following problems still exist in actual operation:

[0004] 1. Failure to accurately manage the repair pipeline cycle based on the specific processing time of the pipeline, resulting in reduced management effectiveness of defective pipelines.

[0005] 2. No further data verification and encryption are performed on the defect management data, resulting in excessive duplication and abnormal data in the data and reduced data security.

[0006] 3. No further source data backup storage is performed for the labeled data, resulting in a decrease in the integrity of the defective pipeline data.

[0007] 4. Failure to mark defective pipelines in more detail results in the inability to obtain pipeline data in a timely manner when the pipelines are repaired later. Summary of the invention

[0008] The purpose of the present invention is to provide an online management system and method for pipeline defect feature labels, which performs encryption of different methods and strengths and confirmation of key length according to the defect levels of different data in the stored data, thereby further ensuring the security encryption strength of the stored data. After the stored data is encrypted, the stored data is signed using a private key, and the receiver can use the sender's public key to verify the signature to ensure that the data has not been tampered with, thereby further improving the integrity and security of the data. By converting the format of the data, the data can be more easily analyzed, shared and utilized, which helps to improve the efficiency and quality of data processing. Converting the target pipeline data into a target file can maximize the reliability of the data and solve the problems in the prior art.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] The online management system for pipeline defect feature labels includes:

[0011] Label data statistical classification units for:

[0012] The pipeline defect data is obtained from the data terminal, the pipeline defect data is classified according to the pipeline defect level, and then the pipelines in each defect level are specifically labeled, and finally the pipelines in each defect level data are uniquely coded and numbered, and the uniquely coded and numbered data are marked as the target pipeline data;

[0013] Tag data storage backup unit, used for:

[0014] Based on the target pipeline data obtained in the label data statistical classification unit, each target pipeline data is formatted, the target pipeline data after the format conversion is backed up by an automatic full backup method, and the backed-up data is stored in a memory, and the data in the memory is marked as storage data;

[0015] Tag backup data encryption unit, used for:

[0016] Based on the storage data in the memory obtained in the tag data storage backup unit, the storage data is verified, and according to the verification result, the storage data is transmitted to the encryption database for storage data encryption, and the encrypted storage data is marked as standard pipeline data;

[0017] Tag encryption data management unit, used for:

[0018] Based on the standard pipeline data obtained in the label backup data encryption unit, the processing cycle data in the standard pipeline data is obtained, the standard pipeline data is managed for data cycle according to the obtained processing cycle data, and the standard pipeline data is sent to the display terminal for display.

[0019] Preferably, the label data statistical classification unit includes:

[0020] Pipeline defect level differentiation module, used for:

[0021] When the pipeline defect data is obtained from the data terminal, each pipeline defect data is marked with the defect value of the pipeline corresponding to the data;

[0022] When the value of the pipeline defect is 5-35, the pipeline defect level of the pipeline is level one;

[0023] When the value of the pipeline defect is 36-70, the pipeline defect level of the pipeline is level 2;

[0024] When the value of the pipeline defect is 71-95, the pipeline defect level of the pipeline is level three;

[0025] When the value of the pipeline defect is 95-100, the pipeline defect level of the pipeline is level 4;

[0026] When the pipeline defect level of a pipeline is level four, the pipeline is in a scrapped state, and the scrapped pipeline data is directly counted.

[0027] Preferably, the label data statistical classification unit further includes:

[0028] Specific label annotation module is used to:

[0029] Acquire data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type for pipelines in each defect level;

[0030] Among them, pipe materials include carbon steel, stainless steel, cast iron, and plastic;

[0031] Pipeline connections include welding, threaded connection, and ferrule connection;

[0032] Pipeline structure includes pipe diameter, thickness, and structural form;

[0033] Pipeline status refers to the operating status and maintenance status of the pipeline. The operating status includes the operating time, working pressure, and flow rate of the pipeline. The maintenance status includes maintenance records, maintenance methods, maintenance cycles, pipeline service life, and pipeline maintenance status.

[0034] Types of pipeline defects include cracks, pits, deformation, and corrosion;

[0035] The acquired data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type are labeled with specific labels for each pipeline, and the data upload time and processing cycle time of each pipeline are marked;

[0036] Uniquely encode and number the pipeline data that has been marked with specific labels.

[0037] Preferably, the label data storage backup unit includes:

[0038] Data conversion module for:

[0039] Taking the data format of the data stored in the memory as the target conversion format;

[0040] Confirming the format factor of the conversion format, wherein the format factor of the conversion format is a parameter format conversion factor;

[0041] Get the data format of the target pipeline data;

[0042] The data format of the target pipeline data corresponds to the format factor of the conversion format;

[0043] Obtaining a data conversion evaluation parameter of a data format of each target pipeline data using a format factor of the conversion format;

[0044] The minimum value of the parameter in the data conversion evaluation parameter corresponds to the data format of each target pipeline data;

[0045] The target pipeline data corresponding to the minimum value is converted into a data format to obtain a plurality of target pipeline data having completed the format conversion.

[0046] Preferably, the label data storage backup unit further includes:

[0047] Data backup module, used for:

[0048] Get the target pipeline data after format conversion is completed;

[0049] Convert the target pipeline data after format conversion into a target file;

[0050] When the target pipeline data after format conversion is converted into a target file, it is transmitted to the backup storage through the network;

[0051] When the target pipeline data after format conversion is converted into a target file, a backup plan of the target file is confirmed;

[0052] The backup plan includes the backup time, backup location and backup personnel of the target files.

[0053] Preferably, the label backup data encryption unit includes:

[0054] Backup data verification module, used to:

[0055] First, the stored data in the memory is extracted, and the stored data is verified by CRC verification;

[0056] The verification process of CRC verification is:

[0057] The acquired storage data is divided by the CRC code;

[0058] Among them, the CRC code is a code consisting of a binary bit string and a polynomial data with coefficients of '0' and '1' values;

[0059] If the stored data is divided by the CRC code and the result is a division result, the check result is a qualified check result;

[0060] If the stored data is divided by the CRC code and the result is an incomplete division, the check result is an unqualified check result, and the unqualified check result is discarded.

[0061] Preferably, the label backup data encryption unit further includes:

[0062] Verify data encryption module for:

[0063] Analyze the encryption method and key length of the verified qualified data in the stored data;

[0064] Among them, the encryption method and key length are first confirmed according to the defect level of different data in the stored data. When the defect level is higher, the calculation strength of the encryption method is stronger, and the key length is also stronger;

[0065] After the stored data is encrypted, the private key is used to sign the stored data, and the signature and encrypted data are stored in the encrypted database for independent storage.

[0066] Preferably, the tag encryption data management unit includes:

[0067] Cycle time confirmation module for:

[0068] Divide standard pipeline data into multiple data segments with the same sections;

[0069] Extract time keywords from each data segment;

[0070] The time keyword is the time data of the time when the data of the defective pipeline is uploaded and the last processing time of the defective pipeline;

[0071] Defective pipelines are divided into maintenance management levels according to the upload time and the last processing time;

[0072] Management warnings of different intensities are generated according to the divided levels.

[0073] Preferably, the tag encryption data management unit further includes:

[0074] Cycle time management module for:

[0075] Acquire warning data of different intensities, where the warning levels are divided into weak and strong levels;

[0076] When the warning level is a strong level, the standard pipeline data in the strong level is matched and obtained;

[0077] The acquired standard pipeline data of a strong level is transmitted to the display terminal, and the staff performs pipeline maintenance operations according to the labels corresponding to the standard pipeline data in the display terminal.

[0078] The present invention provides another technical solution, a method for implementing an online management system for pipeline defect feature labels, comprising the following steps:

[0079] Step 1: First, each defective pipeline is specifically labeled through the label data statistical classification unit, and the labeled pipeline defect data is uniquely coded and labeled;

[0080] Step 2: Use the label data storage backup unit to back up each defective pipeline data with a unique coding number, and store the backed-up data in an independent storage device to save the source data:

[0081] Step 3: Use the tag backup data encryption unit to verify the source data in the memory, encrypt the data after the time verification is completed, and store the encrypted data in the encryption database for encrypted storage;

[0082] Step 4: Use the tag encryption data management unit to encrypt the data in the database for maintenance warning according to the processing cycle time of the pipeline, and transmit the generated warning report to the display terminal for warning display.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] 1. The pipeline defect feature label online management system and method provided by the present invention can more effectively manage pipelines with different defect intensities according to the level classification of pipeline defects, and carry out different maintenance response plans for pipelines of different levels according to the maintenance management level, thereby further improving the efficiency of maintenance of pipelines with key defects and avoiding the problem of maintenance delay.

[0085] 2. The pipeline defect feature label online management system and method provided by the present invention can make data easier to analyze, share and utilize by converting the data format, which helps to improve the efficiency and quality of data processing. Converting the target pipeline data into a target file can maximize the reliability of the data.

[0086] 3. The pipeline defect feature label online management system and method provided by the present invention performs encryption with different methods and strengths and confirms the key length according to the defect levels of different data in the stored data, thereby further ensuring the security encryption strength of the stored data. After the stored data is encrypted, the stored data is signed with a private key, and the receiver can use the sender's public key to verify the signature to ensure that the data has not been tampered with, thereby further improving the integrity and security of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0087] Figure 1 It is a schematic diagram of the overall module of the present invention;

[0088] Figure 2 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0089] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0090] In order to solve the problem in the prior art that when labeling defective pipelines, the defective pipelines are not labeled in more detail, resulting in the failure to obtain pipeline data in time when the pipelines are repaired later, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0091] The online management system for pipeline defect feature labels includes:

[0092] Label data statistical classification units for:

[0093] The pipeline defect data is obtained from the data terminal, the pipeline defect data is classified according to the pipeline defect level, and then the pipelines in each defect level are specifically labeled, and finally the pipelines in each defect level data are uniquely coded and numbered, and the uniquely coded and numbered data are marked as the target pipeline data;

[0094] Tag data storage backup unit, used for:

[0095] Based on the target pipeline data obtained in the label data statistical classification unit, each target pipeline data is formatted, the target pipeline data after the format conversion is backed up by an automatic full backup method, and the backed-up data is stored in a memory, and the data in the memory is marked as storage data;

[0096] Tag backup data encryption unit, used for:

[0097] Based on the storage data in the memory obtained in the tag data storage backup unit, the storage data is verified, and according to the verification result, the storage data is transmitted to the encryption database for storage data encryption, and the encrypted storage data is marked as standard pipeline data;

[0098] Tag encryption data management unit, used for:

[0099] Based on the standard pipeline data obtained in the label backup data encryption unit, the processing cycle data in the standard pipeline data is obtained, the standard pipeline data is managed for data cycle according to the obtained processing cycle data, and the standard pipeline data is sent to the display terminal for display.

[0100] Label data statistical classification units, including:

[0101] Pipeline defect level differentiation module, used for:

[0102] When the pipeline defect data is obtained from the data terminal, each pipeline defect data is marked with the defect value of the pipeline corresponding to the data;

[0103] When the value of the pipeline defect is 5-35, the pipeline defect level of the pipeline is level one;

[0104] When the value of the pipeline defect is 36-70, the pipeline defect level of the pipeline is level 2;

[0105] When the value of the pipeline defect is 71-95, the pipeline defect level of the pipeline is level three;

[0106] When the value of the pipeline defect is 95-100, the pipeline defect level of the pipeline is level 4;

[0107] When the pipeline defect level of a pipeline is level four, the pipeline is in a scrapped state, and the scrapped pipeline data is directly counted.

[0108] Specific label annotation module is used for:

[0109] Acquire data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type for pipelines in each defect level;

[0110] Among them, pipe materials include carbon steel, stainless steel, cast iron, and plastic;

[0111] Pipeline connections include welding, threaded connection, and ferrule connection;

[0112] Pipeline structure includes pipe diameter, thickness, and structural form;

[0113] Pipeline status refers to the operating status and maintenance status of the pipeline. The operating status includes the operating time, working pressure, and flow rate of the pipeline. The maintenance status includes maintenance records, maintenance methods, maintenance cycles, pipeline service life, and pipeline maintenance status.

[0114] Types of pipeline defects include cracks, pits, deformation, and corrosion;

[0115] The acquired data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type are labeled with specific labels for each pipeline, and the data upload time and processing cycle time of each pipeline are marked;

[0116] Uniquely encode and number the pipeline data that has been marked with specific labels.

[0117] Specifically, the degree of each pipeline defect in each pipeline defect data is first differentiated by the pipeline defect grade differentiation module. When the pipeline grade is level one, the pipeline is a slight defect, when the pipeline grade is level two, the pipeline is a moderate defect, when the pipeline grade is level three, the pipeline is a severe defect, and when the pipeline grade is level four, the pipeline is scrapped. According to the grade differentiation of pipeline defects, pipelines with different defect intensities can be managed more effectively with different intensities. The higher the grade, the higher the management intensity of the pipeline. Each pipeline is labeled in more detail through the specific labeling module. Among them, the pipeline material is an important part of the pipeline defect feature label. Pipes of different materials have different characteristics in terms of performance, corrosion resistance, strength, etc. Therefore, it is necessary to select the appropriate pipeline material according to the use environment and fluid characteristics. The pipeline connection method is also an important factor in the pipeline defect feature label. Different connection methods have different characteristics in terms of installation, maintenance, sealing performance, etc. The pipeline structure has a great influence on the performance and service life of the pipeline. Pipelines with different structures have different characteristics in terms of fluid delivery efficiency, strength, corrosion resistance, etc. The type of pipeline defect is one of the core contents of the pipeline defect feature label. Different types of defects have a great impact on the performance and service life of the pipeline.

[0118] In order to solve the problem in the prior art that after the defective pipeline data is labeled, the source data of the labeled data is not further backed up and stored, thereby causing the integrity of the defective pipeline data to decrease, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0119] The tag data storage backup unit includes:

[0120] Data conversion module for:

[0121] Taking the data format of the data stored in the memory as the target conversion format;

[0122] Confirming the format factor of the conversion format, wherein the format factor of the conversion format is a parameter format conversion factor;

[0123] Get the data format of the target pipeline data;

[0124] The data format of the target pipeline data corresponds to the format factor of the conversion format;

[0125] Obtaining a data conversion evaluation parameter of a data format of each target pipeline data using a format factor of the conversion format;

[0126] The minimum value of the parameter in the data conversion evaluation parameter corresponds to the data format of each target pipeline data;

[0127] The target pipeline data corresponding to the minimum value is converted into a data format to obtain a plurality of target pipeline data having completed the format conversion.

[0128] Data backup module, used for:

[0129] Get the target pipeline data after format conversion is completed;

[0130] Convert the target pipeline data after format conversion into a target file;

[0131] When the target pipeline data after format conversion is converted into a target file, it is transmitted to the backup storage through the network;

[0132] When the target pipeline data after format conversion is converted into a target file, a backup plan of the target file is confirmed;

[0133] The backup plan includes the backup time, backup location and backup personnel of the target files.

[0134] Specifically, the stored data is converted into an operational parameter through the data conversion module. According to the determination of the conversion factor, the difficulty and cost of data conversion between different data formats can be measured. The data conversion evaluation parameter can be used to evaluate the conversion quality and efficiency between data formats. The data conversion is performed according to the target conversion format corresponding to the minimum value, which helps to improve the consistency and operability of the data. By converting the data format, the data can be more easily analyzed, shared and utilized, which helps to improve the efficiency and quality of data processing. When the target pipeline data is converted into a target file through the data backup module, it is transmitted to the backup storage through the network. Converting the target pipeline data into a target file can maximize the reliability of the data. By converting the target pipeline data into a target file, even if the original data is lost or damaged, the integrity of the data can be protected by restoring the backup. After the data is backed up, the required files can be restored at any time.

[0135] In order to solve the problem that there is no further data verification and encryption for defect management data in the prior art, which leads to excessive duplication and abnormal data in the data and reduced data security, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0136] Tag backup data encryption unit, including:

[0137] Backup data verification module, used to:

[0138] First, the stored data in the memory is extracted, and the stored data is verified by CRC verification;

[0139] The verification process of CRC verification is:

[0140] The acquired storage data is divided by the CRC code;

[0141] Among them, the CRC code is a code consisting of a binary bit string and a polynomial data with coefficients of '0' and '1' values;

[0142] If the stored data is divided by the CRC code and the result is a division result, the check result is a qualified check result;

[0143] If the stored data is divided by the CRC code and the result is an incomplete division, the check result is an unqualified check result, and the unqualified check result is discarded.

[0144] Verify data encryption module for:

[0145] Analyze the encryption method and key length of the verified qualified data in the stored data;

[0146] Among them, the encryption method and key length are first confirmed according to the defect level of different data in the stored data. When the defect level is higher, the calculation strength of the encryption method is stronger, and the key length is also stronger;

[0147] After the stored data is encrypted, the private key is used to sign the stored data, and the signature and encrypted data are stored in the encrypted database for independent storage.

[0148] Specifically, the stored data is subjected to CRC verification through the backup data verification module. The CRC verification can perform faster verification when the length of the information field and the verification field of the stored data is uncertain. At the same time, the division operation is performed by the CRC code, and the verification process is simpler. The error detection and correction capabilities of the verification are stronger, and it is easier to achieve error control in the stored data. The stored data that passes the verification is encrypted through the verification data encryption module, and the data that fails the verification is automatically deleted. Different methods and strengths of encryption and key length confirmation are performed according to the defect levels of different data in the stored data, thereby further ensuring the security encryption strength of the stored data. After the storage data encryption is completed, the stored data is signed with a private key, and the receiver can use the sender's public key to verify the signature to ensure that the data has not been tampered with, thereby further improving the integrity and security of the data.

[0149] In order to solve the problem in the prior art that after obtaining the defective pipeline data, the repair pipeline is not accurately managed according to the specific processing time of the pipeline, which leads to a decrease in the management effect of the defective pipeline, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0150] Tag encryption data management unit, including:

[0151] Cycle time confirmation module for:

[0152] Divide standard pipeline data into multiple data segments with the same sections;

[0153] Extract time keywords from each data segment;

[0154] The time keyword is the time data of the time when the data of the defective pipeline is uploaded and the last processing time of the defective pipeline;

[0155] Defective pipelines are divided into maintenance management levels according to the upload time and the last processing time;

[0156] Management warnings of different intensities are generated according to the divided levels.

[0157] Cycle time management module for:

[0158] Acquire warning data of different intensities, where the warning levels are divided into weak and strong levels;

[0159] When the warning level is a strong level, the standard pipeline data in the strong level is matched and obtained;

[0160] The acquired standard pipeline data of a strong level is transmitted to the display terminal, and the staff performs pipeline maintenance operations according to the labels corresponding to the standard pipeline data in the display terminal.

[0161] Specifically, the last processing time of each defective pipeline is determined through the cycle time confirmation module, and each defective pipeline is divided into a maintenance management level according to the last processing time. Different maintenance response plans are implemented for pipelines of different levels according to the maintenance management level, thereby further improving the efficiency of the maintenance of key defective pipelines and avoiding the problem of maintenance delays. Different levels of maintenance management levels are divided into different levels of early warning through the cycle time management module, and the acquired standard pipeline data of the strong level is transmitted to the display terminal. The staff performs pipeline maintenance operations according to the labels corresponding to the standard pipeline data in the display terminal, thereby further improving the efficiency of the maintenance of key defective pipelines.

[0162] The present invention provides another technical solution, a method for implementing an online management system for pipeline defect feature labels, comprising the following steps:

[0163] Step 1: First, each defective pipeline is specifically labeled through the label data statistical classification unit, and the labeled pipeline defect data is uniquely coded and labeled;

[0164] Among them, according to the classification of pipeline defects, pipelines with different defect intensities can be managed with different intensities more effectively;

[0165] Step 2: Use the label data storage backup unit to back up each defective pipeline data with a unique coding number, and store the backed-up data in an independent storage device to save the source data:

[0166] Among them, converting the target pipeline data into the target file can maximize the reliability of the data. By converting the target pipeline data into the target file, even if the original data is lost or damaged, the integrity of the data can be protected by restoring the backup;

[0167] Step 3: Verify the source data in the memory through the tag backup data encryption unit, encrypt the data after the time verification is completed, and store the encrypted data in the encryption database for encrypted storage;

[0168] Among them, the data that fails the verification will be automatically deleted, and different methods and strengths of encryption and key length confirmation will be performed according to the defect levels of different data in the stored data, thereby further ensuring the security encryption strength of the stored data;

[0169] Step 4: Use the tag encryption data management unit to perform maintenance warning based on the data in the encrypted database according to the processing cycle time of the pipeline, and transmit the generated warning report to the display terminal for warning display;

[0170] Among them, different maintenance response plans are adopted for pipelines of different levels according to the maintenance management level, thereby further improving the efficiency of maintenance of key defective pipelines.

[0171] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0172] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The pipeline defect feature label online management system is characterized by: include: Label data statistical classification units for: The pipeline defect data is obtained from the data terminal, the pipeline defect data is classified according to the pipeline defect level, and then the pipelines in each defect level are specifically labeled, and finally the pipelines in each defect level data are uniquely coded and numbered, and the uniquely coded and numbered data are marked as the target pipeline data; Tag data storage backup unit, used for: Based on the target pipeline data obtained in the label data statistical classification unit, each target pipeline data is formatted, the target pipeline data after the format conversion is backed up by an automatic full backup method, and the backed-up data is stored in a memory, and the data in the memory is marked as storage data; Tag backup data encryption unit, used for: Based on the storage data in the memory obtained in the tag data storage backup unit, the storage data is verified, and according to the verification result, the storage data is transmitted to the encryption database for storage data encryption, and the encrypted storage data is marked as standard pipeline data; Tag encryption data management unit, used for: Based on the standard pipeline data obtained in the label backup data encryption unit, the processing cycle data in the standard pipeline data is obtained, the standard pipeline data is managed for data cycle according to the obtained processing cycle data, and the standard pipeline data is sent to the display terminal for display.

2. The pipeline defect feature label online management system according to claim 1 is characterized by: The label data statistical classification unit comprises: Pipeline defect level differentiation module, used for: When the pipeline defect data is obtained from the data terminal, each pipeline defect data is marked with the defect value of the pipeline corresponding to the data; When the value of the pipeline defect is 5-35, the pipeline defect level of the pipeline is level one; When the value of the pipeline defect is 36-70, the pipeline defect level of the pipeline is level 2; When the value of the pipeline defect is 71-95, the pipeline defect level of the pipeline is level three; When the value of the pipeline defect is 95-100, the pipeline defect level of the pipeline is level 4; When the pipeline defect level of a pipeline is level four, the pipeline is in a scrapped state, and the scrapped pipeline data is directly counted.

3. The pipeline defect feature label online management system according to claim 2 is characterized by: The label data statistical classification unit further includes: Specific label annotation module is used for: Acquire data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type for pipelines in each defect level; Among them, pipe materials include carbon steel, stainless steel, cast iron, and plastic; Pipeline connections include welding, threaded connection, and ferrule connection; Pipeline structure includes pipe diameter, thickness, and structural form; Pipeline status refers to the operating status and maintenance status of the pipeline. The operating status includes the operating time, working pressure, and flow rate of the pipeline. The maintenance status includes maintenance records, maintenance methods, maintenance cycles, pipeline service life, and pipeline maintenance status. Types of pipeline defects include cracks, pits, deformation, and corrosion; The acquired data on pipeline material, pipeline connection, pipeline structure, pipeline status and pipeline defect type are labeled with specific labels for each pipeline, and the data upload time and processing cycle time of each pipeline are marked; Uniquely encode and number the pipeline data that has been marked with specific labels.

4. The pipeline defect feature label online management system according to claim 1 is characterized by: The label data storage and backup unit comprises: Data conversion module for: Taking the data format of the data stored in the memory as the target conversion format; Confirming the format factor of the conversion format, wherein the format factor of the conversion format is a parameter format conversion factor; Get the data format of the target pipeline data; The data format of the target pipeline data corresponds to the format factor of the conversion format; Obtaining a data conversion evaluation parameter of a data format of each target pipeline data using a format factor of the conversion format; The minimum value of the parameter in the data conversion evaluation parameter corresponds to the data format of each target pipeline data; The target pipeline data corresponding to the minimum value is converted into a data format to obtain a plurality of target pipeline data having completed the format conversion.

5. The pipeline defect feature label online management system according to claim 4 is characterized by: The label data storage backup unit further includes: Data backup module, used for: Get the target pipeline data after format conversion is completed; Convert the target pipeline data after format conversion into a target file; When the target pipeline data after format conversion is converted into a target file, it is transmitted to the backup storage through the network; When the target pipeline data after format conversion is converted into a target file, a backup plan of the target file is confirmed; The backup plan includes the backup time, backup location and backup personnel of the target files.

6. The pipeline defect feature label online management system according to claim 1 is characterized by: The label backup data encryption unit includes: Backup data verification module, used to: First, the stored data in the memory is extracted, and the stored data is verified by CRC verification; The verification process of CRC verification is: The acquired storage data is divided by the CRC code; Among them, the CRC code is a code consisting of a binary bit string and a polynomial data with coefficients of '0' and '1' values; If the stored data is divided by the CRC code and the result is a division result, the check result is a qualified check result; If the stored data is divided by the CRC code and the result is an incomplete division, the check result is an unqualified check result, and the unqualified check result is discarded.

7. The pipeline defect feature label online management system according to claim 6 is characterized by: The label backup data encryption unit further includes: Verify data encryption module for: Analyze the encryption method and key length of the verified qualified data in the stored data; Among them, the encryption method and key length are first confirmed according to the defect level of different data in the stored data. When the defect level is higher, the calculation strength of the encryption method is stronger, and the key length is also stronger; After the stored data is encrypted, the private key is used to sign the stored data, and the signature and encrypted data are stored in the encrypted database for independent storage.

8. The pipeline defect feature label online management system according to claim 1 is characterized by: The tag encryption data management unit includes: Cycle time confirmation module for: Divide standard pipeline data into multiple data segments with the same sections; Extract time keywords from each data segment; The time keyword is the time data of the time when the data of the defective pipeline is uploaded and the last processing time of the defective pipeline; Defective pipelines are divided into maintenance management levels according to the upload time and the last processing time; Management warnings of different intensities are generated according to the divided levels.

9. The pipeline defect feature label online management system according to claim 8 is characterized by: The tag encryption data management unit further includes: Cycle time management module for: Acquire warning data of different intensities, where the warning levels are divided into weak and strong levels; When the warning level is a strong level, the standard pipeline data in the strong level is matched and obtained; The acquired standard pipeline data of a strong level is transmitted to the display terminal, and the staff performs pipeline maintenance operations according to the labels corresponding to the standard pipeline data in the display terminal.

10. A method for implementing the pipeline defect feature label online management system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: First, each defective pipeline is specifically labeled through the label data statistical classification unit, and the labeled pipeline defect data is uniquely coded and labeled; Step 2: Use the label data storage backup unit to back up each defective pipeline data with a unique coding number, and store the backed-up data in an independent storage device to save the source data: Step 3: Verify the source data in the memory through the tag backup data encryption unit, encrypt the data after the time verification is completed, and store the encrypted data in the encryption database for encrypted storage; Step 4: Use the tag encryption data management unit to encrypt the data in the database for maintenance warning according to the processing cycle time of the pipeline, and transmit the generated warning report to the display terminal for warning display.

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