File full life cycle management method and system based on big data technology

Abstract

The invention discloses an archive full life cycle management method and system based on a big data technology, and belongs to the technical field of archive management. A management role identity and auditing indexes are set according to an auditing program or an auditing link, an archive role auditing database containing archive auditing behavior characteristics is generated, the auditing behavior characteristics cover archive auditing contents and defect degrees thereof, and the management role identity has hierarchical attributes of auditing permissions; constructing a defect evaluation model, performing defect evaluation on the archive, and obtaining a defect evaluation value; when the model is executed, the dynamic tracking coefficient is quantized through dynamic tracking to serve as a dynamic weighting coefficient; constructing different audit cycles of the full life cycle of the archive, regularly updating audit behavior characteristics and returning the audit behavior characteristics to the defect evaluation model to realize regular defect evaluation of the archive, and outputting a periodic audit list; the auditing authority level attributes of different management roles can be effectively distinguished, and dynamic defect evaluation is realized, so that the auditing precision and efficiency of the full life cycle of the archive are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of archive management, and in particular to a method and system for managing archives throughout their life cycle based on big data technology. Background Art

[0002] With the rapid development of information technology and the sharp increase in data volume, big data technology has become an indispensable tool in all walks of life; in the field of archives management, traditional archives management methods have been unable to meet the growing number of archives and complex management needs.

[0003] Traditional archive management methods usually rely on manual operations and paper records, which are not only inefficient but also prone to errors, making it difficult to achieve effective management and auditing of the entire life cycle of archives. In addition, existing archive management systems are often unable to fully record the audit behavior characteristics of archives, including the characteristics of archive audit content and the defect characteristics of archive audit content, resulting in difficulty in accurately evaluating the integrity and compliance of archives during the audit process. In addition, existing archive management systems also have deficiencies in the management of audit authority. In particular, different audit procedures or audit links usually require different management role identities to execute, but existing systems often cannot effectively distinguish the hierarchical attributes of the audit authority of these roles, resulting in confusion of authority and unclear responsibilities during the audit process. At the same time, traditional defect assessment methods often rely on static assessment standards and fixed assessment models, and cannot be dynamically adjusted according to the actual situation of the archives and audit needs. This not only reduces the accuracy and effectiveness of the assessment, but also limits the flexibility and scalability of the archive management system. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for managing the entire life cycle of archives based on big data technology to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A file life cycle management system based on big data technology, the system includes: file entry module, file management center module, dynamic tracking module and update feedback module;

[0007] The archive entry module, the dynamic tracking module and the update feedback module are respectively connected to the archive management center module;

[0008] The file entry module sets the management role identity and the audit index according to the audit procedure or audit link to generate a file role audit database, in which the audit behavior characteristics of the file are recorded, and the audit behavior characteristics include the file audit content characteristics and the defect degree characteristics of the file audit content, and the management role identity also has the hierarchical attribute of the audit authority;

[0009] The archive management center module, based on the archive role audit database, uses the dynamic weighting principle to construct a defect assessment model, conducts defect assessment on different archives, and obtains the defect assessment value of the archive;

[0010] The dynamic tracking module is used to quantify the dynamic tracking coefficient by dynamic tracking when executing the defect assessment model, and obtain the dynamic tracking coefficient as the dynamic weighting coefficient;

[0011] The update feedback module is used to construct different audit cycles throughout the life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the periodic audit list of the archive.

[0012] Furthermore, the file entry module includes a creation unit and a level differentiation unit;

[0013] The creation unit is used to create an archive management role identity information library, in which different archive role audit databases are allocated, and one archive role audit database is allocated to one management role identity;

[0014] The hierarchical differentiation unit is used to locate the identity of the management role to achieve the calibration of the upstream audit level and the downstream audit level.

[0015] Further, the archive management center module includes a data processing unit and a defect assessment model unit;

[0016] The data processing unit implements the encoding of the management role identity and the marking of the archive role audit database according to the audit authority sequence, including the marking of the audit behavior characteristics, the marking of the audit content and the marking of the defect degree;

[0017] The defect assessment model unit is used to construct a defect assessment model to perform defect assessment on the archive.

[0018] Further, the dynamic tracking module includes a positioning unit and a dynamic tracking coefficient quantization unit;

[0019] The positioning unit is used to locate the management role identity to distinguish between the upward audit level and the downward audit level;

[0020] The dynamic tracking coefficient quantification unit is used to respectively call the archive role audit database of each management role identity allocation in the upper audit level and the archive role audit database of each management role identity allocation in the lower audit level to calculate the dynamic tracking coefficient.

[0021] Further, the update feedback module includes an update unit and a feedback unit;

[0022] The updating unit is used to set different audit indicators and assign different audit contents to management role persons in different audit cycles during the whole life cycle of the archive, so as to realize the regular update of audit behavior characteristics in different audit cycles;

[0023] The feedback unit is used to arrange the defect assessment values ​​obtained in each audit cycle in order from large to small, so as to generate and output a periodic audit list of the archive.

[0024] A method for managing the entire life cycle of archives based on big data technology, the method comprising the following steps:

[0025] According to the audit procedures or audit links, the management role identity and the audit index are respectively set to generate an archive role audit database, in which the audit behavior characteristics of the archives are recorded, and the audit behavior characteristics include the archive audit content characteristics and the defect degree characteristics of the archive audit content, and the management role identity also has the hierarchical attributes of the audit authority;

[0026] Based on the archive role audit database, a defect assessment model is constructed using the dynamic weighting principle to conduct defect assessments on different archives to obtain the defect assessment values ​​of the archives;

[0027] When executing the defect assessment model, the dynamic tracking method is used to quantify the dynamic tracking coefficient, and the dynamic tracking coefficient is obtained as a dynamic weighting coefficient;

[0028] Construct different audit cycles for the entire life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the periodic audit list of the archive.

[0029] Furthermore, the specific implementation process of generating the archive role audit database includes:

[0030] Create an archive management role identity information database, wherein K archive role audit databases are allocated in the archive management role identity information database, wherein one archive role audit database is allocated to one management role identity, the management role identity is set according to the audit procedure or audit link, and one management role identity is set for one audit procedure or one audit link, and the archive role audit database records the audit behavior characteristics of the archives, the audit behavior characteristics include the archive audit content allocated according to the audit procedure or audit link and the defect degree of the archive audit content, the defect degree is obtained by the audit index of the set audit procedure or audit link, and the defect degree is the weighted average of the conformity degree of the archive audit content to each audit index;

[0031] The management role identity set according to the audit procedure or audit link has the hierarchical attributes of the audit authority, and the hierarchical attributes also include the upward audit level and the downward audit level. The calibration of the upward audit level and the downward audit level is dynamically tracked by the located management role identity.

[0032] Furthermore, the specific implementation process of constructing the defect assessment model includes:

[0033] The set management role identities are uniformly coded according to the order of audit permissions, and any i-th management role identity is recorded as M i , the management role identity M i The corresponding archive role audit database is recorded as A(M i )={[F x |M i , D(F x |M i )]|x∈[1,y]}, where F x represents the xth file, y represents the total number of files, [F x |M i , D(F x |M i )] indicates the mark of the audit behavior characteristics, F x |M i Indicates the role assigned to the management role identity M i File F x The mark of the audit content, D(F x |M i )] indicates the content of the file audit F x |M i Marking of the degree of defect;

[0034] Based on the archive role audit database, a defect assessment model is constructed to evaluate the archive F x Conduct defect assessment and calculate file F x Defect assessment value In the formula, E i Indicates the management role identity M of the location i The dynamic tracking coefficient of , I represents the total number of management role identities.

[0035] Furthermore, the specific implementation process of the dynamic tracking includes:

[0036] Positioning management role identity M i To distinguish between the upward audit level and the downward audit level, the management role identity number interval in the upward audit level is [1, i), and the management role identity number interval in the downward audit level is (i, I];

[0037] The archive role audit database of each management role identity assignment in the upstream audit level and the archive role audit database of each management role identity assignment in the downstream audit level are called respectively to calculate the dynamic tracking coefficient E i = In the formula, F x |M j Represents the identity M assigned to the jth management role j File F x The mark of the audit content, D(F x |M j ) indicates the content of the file audit F x |M j Marking of the degree of defect;

[0038] In the above method, according to the audit procedures or audit links, the set management role identity has the hierarchical attribute of audit authority. This hierarchical attribute is continuous, that is, the behavior that causes defects is also continuous. When a certain management role identity is located, its upper audit level is the source of the defect, and its lower audit level is the spread of the consequences of the defect. By comparing the impact values ​​of the upper and lower hierarchical circle relationships, that is, and To quantify the dynamic tracking coefficient.

[0039] Furthermore, the specific implementation process of the periodic defect assessment includes:

[0040] In different audit cycles of the whole life cycle of archives, different audit indicators are set and different audit contents are assigned to management roles. Audit behavior characteristics are regularly updated in different audit cycles. The results of regular updates are input into the defect assessment model to achieve regular defect assessment of archives.

[0041] Arrange the defect assessment values ​​obtained in each audit cycle in order from largest to smallest to generate and output the archive's periodic audit list.

[0042] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: in a method and system for managing the entire life cycle of archives based on big data technology, the present invention provides a method and system for managing management roles and audit indicators according to audit procedures or audit links, and generates an archive role audit database containing archive audit behavior characteristics, wherein the audit behavior characteristics cover archive audit content and its defect degree, and the management role identity has the hierarchical attributes of audit authority; a defect assessment model is constructed, and defect assessment is performed on the archives to obtain defect assessment values; when executing the model, a dynamic tracking quantification dynamic tracking coefficient is used as a dynamic weighting coefficient; different audit cycles of the entire life cycle of the archives are constructed, and the audit behavior characteristics are regularly updated and returned to the defect assessment model to realize regular defect assessment of the archives, and output a periodic audit list; the present invention can effectively distinguish the hierarchical attributes of audit authority of different management roles, realize dynamic defect assessment, and improve the audit accuracy and efficiency of the entire life cycle of the archives. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0044] Figure 1 It is a schematic diagram of the steps of a method for managing the entire life cycle of archives based on big data technology of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] In the first embodiment of the present invention, a file life cycle management system based on big data technology is provided, the system comprising: a file entry module, a file management center module, a dynamic tracking module and an update feedback module;

[0047] The archive entry module, the dynamic tracking module and the update feedback module are respectively connected to the archive management center module.

[0048] The file entry module sets the management role identity and the audit index according to the audit procedure or audit link to generate a file role audit database, in which the audit behavior characteristics of the file are recorded, and the audit behavior characteristics include the file audit content characteristics and the defect degree characteristics of the file audit content, and the management role identity also has the hierarchical attribute of the audit authority;

[0049] Wherein, the file entry module includes a creation unit and a level distinction unit;

[0050] The creation unit is used to create an archive management role identity information library, in which different archive role audit databases are allocated, and one archive role audit database is allocated to one management role identity;

[0051] The hierarchical differentiation unit is used to locate the identity of the management role to achieve the calibration of the upstream audit level and the downstream audit level.

[0052] The archive management center module, based on the archive role audit database, uses the dynamic weighting principle to build a defect assessment model, conducts defect assessment on different archives, and obtains the defect assessment value of the archive;

[0053] Wherein, the archive management center module includes a data processing unit and a defect assessment model unit;

[0054] The data processing unit implements the encoding of the management role identity and the marking of the archive role audit database according to the audit authority sequence, including the marking of the audit behavior characteristics, the marking of the audit content and the marking of the defect degree;

[0055] The defect assessment model unit is used to construct a defect assessment model to perform defect assessment on the archive.

[0056] The dynamic tracking module is used to quantify the dynamic tracking coefficient by dynamic tracking when executing the defect assessment model, and obtain the dynamic tracking coefficient as the dynamic weighting coefficient;

[0057] Wherein, the dynamic tracking module includes a positioning unit and a dynamic tracking coefficient quantization unit;

[0058] The positioning unit is used to locate the management role identity to distinguish between the upward audit level and the downward audit level;

[0059] The dynamic tracking coefficient quantification unit is used to call the archive role audit database of each management role identity allocation in the upper audit level and the archive role audit database of each management role identity allocation in the lower audit level respectively to calculate the dynamic tracking coefficient.

[0060] The update feedback module is used to construct different audit cycles of the entire life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the periodic audit list of the archive;

[0061] Wherein, the update feedback module includes an update unit and a feedback unit;

[0062] The updating unit is used to set different audit indicators and assign different audit contents to management role persons in different audit cycles during the whole life cycle of the archive, so as to realize the regular update of audit behavior characteristics in different audit cycles;

[0063] The feedback unit is used to arrange the defect assessment values ​​obtained in each audit cycle in order from large to small, so as to generate and output a periodic audit list of the archive.

[0064] See also Figure 1 In the second embodiment, a method for managing the entire life cycle of archives based on big data technology is provided, which is applied to the first embodiment. The method includes the following steps:

[0065] Step 1: According to the audit procedures or audit links, the management role identity and audit indicators are respectively set to generate an archive role audit database, in which the archive role audit database records the audit behavior characteristics of the archives, the audit behavior characteristics include the archive audit content characteristics and the defect degree characteristics of the archive audit content, and the management role identity also has the hierarchical attributes of the audit authority;

[0066] Exemplarily, an archive management role identity information database is created, and K archive role audit databases are allocated in the archive management role identity information database, wherein one archive role audit database is allocated to one management role identity, and the management role identity is set according to the audit procedure or audit link, and one management role identity is set for one audit procedure or one audit link, and the archive role audit database records the audit behavior characteristics of the archive, and the audit behavior characteristics include the archive audit content allocated according to the audit procedure or audit link and the defect degree of the archive audit content, and the defect degree is obtained by the audit index of the set audit procedure or audit link, and the defect degree is the weighted average of the conformity degree of the archive audit content to each audit index;

[0067] The management role identity set according to the audit procedure or audit link has the hierarchical attributes of the audit authority, and the hierarchical attributes also include the upward audit level and the downward audit level. The calibration of the upward audit level and the downward audit level is dynamically tracked by the located management role identity.

[0068] Step 2: Based on the archive role audit database, use the dynamic weighting principle to build a defect assessment model, conduct defect assessments on different archives, and obtain the defect assessment values ​​of the archives;

[0069] For example, the set management role identities are uniformly coded according to the audit authority order, and any i-th management role identity is recorded as M i , the management role identity M iThe corresponding archive role audit database is recorded as A(M i )={[F x |M i , D(F x |M i )]|x∈[1,y]}, where F x represents the xth file, y represents the total number of files, [F x |M i , D(F x |M i )] indicates the mark of the audit behavior characteristics, F x |M i Indicates the role assigned to the management role identity M i File F x The mark of the audit content, D(F x |M i )] indicates the content of the file audit F x |M i Marking of the degree of defect;

[0070] Based on the archive role audit database, a defect assessment model is constructed to evaluate the archive F x Conduct defect assessment and calculate file F x Defect assessment value In the formula, E i Indicates the management role identity M of the location i The dynamic tracking coefficient of , I represents the total number of management role identities.

[0071] Step 3: When executing the defect assessment model, a dynamic tracking method is used to quantify the dynamic tracking coefficient, and the dynamic tracking coefficient is obtained as a dynamic weighting coefficient;

[0072] For example, the location management role identity M i To distinguish between the upward audit level and the downward audit level, the management role identity number interval in the upward audit level is [1, i), and the management role identity number interval in the downward audit level is (i, I];

[0073] The archive role audit database of each management role identity assignment in the upstream audit level and the archive role audit database of each management role identity assignment in the downstream audit level are called respectively to calculate the dynamic tracking coefficient In the formula, F x |M j Represents the identity M assigned to the jth management role j File F x The mark of the audit content, D(F x |M j ) indicates the content of the file audit Fx |M j A mark of defect degree.

[0074] Step 4: Construct different audit cycles for the entire life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the archive periodic audit list;

[0075] For example, in different audit cycles in the whole life cycle of archives, different audit indicators are set and different audit contents are assigned to management roles, and audit behavior characteristics are regularly updated in different audit cycles. The results of regular updates are input into the defect assessment model to achieve regular defect assessment of archives;

[0076] Arrange the defect assessment values ​​obtained in each audit cycle in order from largest to smallest to generate and output the archive's periodic audit list.

[0077] 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.

[0078] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for managing the entire life cycle of archives based on big data technology, characterized in that: The method includes: According to the audit procedures or audit links, the management role identity and the audit index are respectively set to generate an archive role audit database, in which the audit behavior characteristics of the archives are recorded, and the audit behavior characteristics include the archive audit content characteristics and the defect degree characteristics of the archive audit content, and the management role identity also has the hierarchical attributes of the audit authority; Based on the archive role audit database, a defect assessment model is constructed using the dynamic weighting principle to conduct defect assessments on different archives to obtain the defect assessment values ​​of the archives; When executing the defect assessment model, the dynamic tracking method is used to quantify the dynamic tracking coefficient, and the dynamic tracking coefficient is obtained as a dynamic weighting coefficient; Construct different audit cycles for the entire life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the periodic audit list of the archive.

2. According to the method for managing the entire life cycle of archives based on big data technology according to claim 1, it is characterized in that: The specific implementation process of generating the archive role audit database includes: Create an archive management role identity information database, wherein K archive role audit databases are allocated in the archive management role identity information database, wherein one archive role audit database is allocated to one management role identity, the management role identity is set according to the audit procedure or audit link, and one management role identity is set for one audit procedure or one audit link, and the archive role audit database records the audit behavior characteristics of the archives, the audit behavior characteristics include the archive audit content allocated according to the audit procedure or audit link and the defect degree of the archive audit content, the defect degree is obtained by the audit index of the set audit procedure or audit link, and the defect degree is the weighted average of the conformity degree of the archive audit content to each audit index; The management role identity set according to the audit procedure or audit link has the hierarchical attributes of the audit authority, and the hierarchical attributes also include the upward audit level and the downward audit level. The calibration of the upward audit level and the downward audit level is dynamically tracked by the located management role identity.

3. According to the method for managing the entire life cycle of archives based on big data technology in claim 1, it is characterized in that: The specific implementation process of constructing the defect assessment model includes: The set management role identities are uniformly coded according to the order of audit permissions, and any i-th management role identity is recorded as M i , the management role identity M i The corresponding archive role audit database is recorded as A(M i )={[F x |M i , D(F x |M i )]|x∈[1,y]}, where F x represents the xth file, y represents the total number of files, [F x |M i , D(F x |M i )] indicates the mark of the audit behavior characteristics, F x |M i Indicates the role assigned to the management role identity M i File F x The mark of the audit content, D(F x |M i )] indicates the content of the file audit F x |M i Marking of the degree of defect; Based on the archive role audit database, a defect assessment model is constructed to evaluate the archive F x Conduct defect assessment and calculate file F x Defect assessment value In the formula, E i Indicates the management role identity M of the location i The dynamic tracking coefficient of , I represents the total number of management role identities.

4. According to the method for managing the entire life cycle of archives based on big data technology as described in claim 3, it is characterized in that: The specific implementation process of the dynamic tracking includes: Positioning management role identity M i To distinguish between the upward audit level and the downward audit level, the management role identity number interval in the upward audit level is [1, i), and the management role identity number interval in the downward audit level is (i, I]; The archive role audit database of each management role identity assignment in the upstream audit level and the archive role audit database of each management role identity assignment in the downstream audit level are called respectively to calculate the dynamic tracking coefficient In the formula, F x |M j Represents the identity M assigned to the jth management role j File F x The mark of the audit content, D(F x |M j ) indicates the content of the file audit F x |M j A mark of defect degree.

5. According to the method for managing the entire life cycle of archives based on big data technology as described in claim 4, it is characterized in that: The specific implementation process of the periodic defect assessment includes: In different audit cycles of the whole life cycle of archives, different audit indicators are set and different audit contents are assigned to management roles. Audit behavior characteristics are regularly updated in different audit cycles. The results of regular updates are input into the defect assessment model to achieve regular defect assessment of archives. Arrange the defect assessment values ​​obtained in each audit cycle in order from largest to smallest to generate and output the archive's periodic audit list.

6. A file life cycle management system based on big data technology, which implements a file life cycle management method based on big data technology as described in any one of claims 1 to 5, characterized in that: The system includes: a file entry module, a file management center module, a dynamic tracking module and an update feedback module; The archive entry module, the dynamic tracking module and the update feedback module are respectively connected to the archive management center module; The file entry module sets the management role identity and the audit index according to the audit procedure or audit link to generate a file role audit database, in which the audit behavior characteristics of the file are recorded, and the audit behavior characteristics include the file audit content characteristics and the defect degree characteristics of the file audit content, and the management role identity also has the hierarchical attribute of the audit authority; The archive management center module, based on the archive role audit database, uses the dynamic weighting principle to construct a defect assessment model, conducts defect assessment on different archives, and obtains the defect assessment value of the archive; The dynamic tracking module is used to quantify the dynamic tracking coefficient by dynamic tracking when executing the defect assessment model, and obtain the dynamic tracking coefficient as the dynamic weighting coefficient; The update feedback module is used to construct different audit cycles throughout the life cycle of the archive, regularly update the audit behavior characteristics, return to the defect assessment model to achieve regular defect assessment of the archive, and output the periodic audit list of the archive.

7. The archive life cycle management system based on big data technology according to claim 6 is characterized in that: The file entry module includes a creation unit and a level distinction unit; The creation unit is used to create an archive management role identity information library, in which different archive role audit databases are allocated, and one archive role audit database is allocated to one management role identity; The hierarchical differentiation unit is used to locate the identity of the management role to achieve the calibration of the upstream audit level and the downstream audit level.

8. The archive life cycle management system based on big data technology according to claim 6 is characterized in that: The archive management center module includes a data processing unit and a defect assessment model unit; The data processing unit implements the encoding of the management role identity and the marking of the archive role audit database according to the audit authority sequence, including the marking of the audit behavior characteristics, the marking of the audit content and the marking of the defect degree; The defect assessment model unit is used to construct a defect assessment model to perform defect assessment on the archive.

9. The archive life cycle management system based on big data technology according to claim 6 is characterized in that: The dynamic tracking module includes a positioning unit and a dynamic tracking coefficient quantization unit; The positioning unit is used to locate the management role identity to distinguish between the upward audit level and the downward audit level; The dynamic tracking coefficient quantification unit is used to respectively call the archive role audit database of each management role identity allocation in the upper audit level and the archive role audit database of each management role identity allocation in the lower audit level to calculate the dynamic tracking coefficient.

10. The archive life cycle management system based on big data technology according to claim 6 is characterized in that: The update feedback module includes an update unit and a feedback unit; The updating unit is used to set different audit indicators and assign different audit contents to management role persons in different audit cycles during the whole life cycle of the archive, so as to realize the regular update of audit behavior characteristics in different audit cycles; The feedback unit is used to arrange the defect assessment values ​​obtained in each audit cycle in order from large to small, so as to generate and output a periodic audit list of the archive.

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