A cloud storage-based electronic archive backup method and system

By calculating the importance of electronic files and performing automatic backup based on this, the problems of waste of cloud storage space and low backup efficiency are solved, and more efficient and reliable electronic file backup is achieved.

CN115580623BActive Publication Date: 2025-04-29ZHEJIANG STARSINO INFORMATION TECH
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Patent Information

Application Number
CN202211259300.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-14
Publication Date
2025-04-29
Estimated Expiration
2042-10-14

AI Technical Summary

Technical Problem

The importance of the existing technology fails to effectively build electronic files, resulting in a waste of cloud storage space and the inability to ensure the reliable storage of core important electronic files. At the same time, it also lacks automatic online storage methods, which affects backup efficiency and reliability.

Method used

By extracting the title of the electronic file, determining its type, and calculating its importance based on the type, level of confidentiality and number of pages. When the importance exceeds the threshold, different backup strategies are used to automatically backup through cloud storage, including full-text backup, partial backup or title backup.

Benefits of technology

It improves the reliability and backup efficiency of electronic files, reduces the waste of cloud storage space, achieves more efficient storage space use, and provides targeted backup strategies for the confidentiality and importance of different files.

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Abstract

The present invention provides a cloud storage-based electronic archive backup method and system, belonging to the technical field of electronic archive storage, and specifically comprises: extracting the title of the electronic archive, and determining the type of the electronic archive based on the title of the electronic archive; determining the importance of the electronic archive based on the type, confidentiality level, and number of pages of the electronic archive; when the importance of the electronic archive is greater than a first importance threshold, based on the confidentiality level and number of pages of the electronic archive, using different backup strategies to automatically back up the electronic archive through cloud storage, thereby further improving the reliability and pertinence of the electronic archive backup and reducing the demand for cloud storage space.
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Description

Technical Field

[0001] The present invention belongs to the technical field of electronic archive storage, and in particular relates to an electronic archive backup method and system based on cloud storage. Background Art

[0002] In order to realize the backup management of electronic archives, various factors of electronic archive storage backup strategy are comprehensively considered in the invention patent publication number CN106874144 "Storage backup strategy evaluation method based on electronic archive attributes". According to the characteristics of electronic archives, multiple storage backup strategies can be evaluated, thus providing meaningful guidance and reference for archives institutions on how to choose appropriate storage media and storage backup strategies according to their own electronic archive characteristics. However, there are the following technical problems:

[0003] 1) There is no construction of the importance of electronic archives based on the confidentiality level, title, number of pages, etc. of the electronic archives. Different filing strategies are adopted based on the confidentiality level of different electronic archives, which will lead to a waste of cloud storage space and cannot guarantee the reliable storage of core important electronic archives;

[0004] 2) The use of cloud storage to automatically store electronic archives online is not considered, which affects the backup efficiency and reliability of electronic archives to a certain extent.

[0005] Based on the above technical problems, it is necessary to design an electronic file backup method and system based on cloud storage. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for backing up electronic files based on cloud storage.

[0007] In order to solve the above technical problems, the first aspect of the present invention provides an electronic archive backup method based on cloud storage, comprising:

[0008] S11 extracts the title of the electronic file, and determines the type of the electronic file based on the title of the electronic file;

[0009] S12: determining the importance of the electronic file based on the type, confidentiality level, and number of pages of the electronic file;

[0010] S13: When the importance of the electronic file is greater than the first importance threshold, proceed to step S14;

[0011] S14: Based on the confidentiality level and number of pages of the electronic file, different backup strategies are adopted to automatically back up the electronic file through cloud storage.

[0012] By analyzing the titles of electronic archives, we can get the specific types of electronic archives, such as official documents, emails, certificates, etc. On this basis, based on the type, confidentiality level and number of pages of the electronic archives, we can get the importance of the electronic archives according to the prediction model of the machine learning algorithm or the method of constructing a formula. When the importance of the electronic archive is greater than the first importance threshold, it means that the importance of the electronic archive at this time is relatively strong. Then, according to the confidentiality level and number of pages of the electronic archive, different backup strategies are adopted to automatically back up through cloud storage. For example, the more pages and the higher the confidentiality level, the full text backup is performed. The lower the number of pages and the lower the confidentiality level, the partial backup or the title backup is performed. This solves the original technical problems of not constructing the importance of electronic archives, adopting different filing strategies according to different confidentiality levels and importance, and not adopting cloud storage for automatic filing. This further improves the reliability of electronic archives, promotes the improvement of the efficiency of electronic archive backup, and reduces unnecessary waste of storage space.

[0013] By determining the importance of the electronic archive based on the type, confidentiality level and number of pages of the electronic archive, it is possible to evaluate the importance of the electronic archive from multiple angles, so that the importance can more accurately reflect the actual status of the electronic archive and lay the foundation for the automatic storage of the electronic archive.

[0014] By setting the first importance threshold, the waste of cloud storage space for electronic files with low importance is avoided, so that the cloud storage space can give priority to the storage of electronic files with high importance in a more targeted manner, thereby improving the efficiency of backup and reducing space waste.

[0015] By adopting different backup strategies based on the confidentiality level and number of pages of the electronic archives, the electronic archives are automatically backed up through cloud storage, thereby improving the efficiency of backing up the electronic archives and improving the security of the electronic archives. At the same time, the backup of the electronic archives is made more targeted, and more efficient use of storage space is achieved.

[0016] A further technical solution is that the specific steps of determining the type of the electronic archive are:

[0017] S21 extracts the title of the electronic file, and extracts keywords from the title of the electronic file to obtain keywords;

[0018] S22 matches the keyword with a keyword database based on the keyword to obtain a matching result;

[0019] S23 obtains the type of the electronic file based on the matching result.

[0020] By obtaining the types of electronic archives, the comprehensiveness of the construction of the importance of electronic archives is greatly promoted, and the foundation is laid for the final targeted backup.

[0021] A further technical solution is that the keyword database is constructed based on a mapping relationship between keywords and types of electronic archives.

[0022] A further technical solution is that the calculation formula for the importance of the electronic archive is:

[0023]

[0024] Among them, K1, K2, and K3 are constants, L, M, and Y are the weight determined according to the type of electronic file, the weight determined according to the confidentiality level of the electronic file, and the number of pages, respectively. The value range of L is between 0 and 1. The higher the importance of the type of electronic file, the larger L is. The value range of M is between 0 and 1. The higher the confidentiality level of the electronic file, the larger M is.

[0025] A further technical solution is to determine the electronic files that need to be automatically backed up by combining the confidentiality level with the importance of the electronic files. The specific steps are:

[0026] S31 determines whether the classification of the electronic file is top secret or confidential based on the classification of the electronic file. If so, the electronic file needs to be automatically backed up. If not, proceed to step S32;

[0027] S32: based on the importance of the electronic file, determining whether the importance of the electronic file is greater than a first importance threshold, if so, automatically backing up the electronic file is required, if not, proceeding to step S33;

[0028] S33: If and only if the importance of the electronic file is greater than a second importance threshold and the confidentiality level of the electronic file is confidential, it is necessary to automatically back up the electronic file, wherein the second importance threshold is less than the first importance threshold.

[0029] By determining the electronic archives that need to be automatically backed up in steps according to the confidentiality and importance of the electronic archives, the efficiency of electronic archive determination is improved, and it has higher comprehensiveness and reliability. At the same time, the automatic backup of electronic archives with low confidentiality but a certain degree of importance can ensure that electronic archives with higher importance and high confidentiality can be backed up, further ensuring the reliability of electronic archives.

[0030] A further technical solution is that the first importance threshold and the second importance threshold are determined by the number of electronic files, the space of cloud storage, and the nature of the electronic files.

[0031] A further technical solution is that the specific steps of automatically backing up the electronic archive are:

[0032] S41 determines whether the classification level of the electronic file is top secret or confidential. If so, the electronic file needs to be automatically filed in full. If not, proceed to step S42;

[0033] S42 determines whether the number of pages of the electronic file is greater than a first page number threshold. If so, the electronic file needs to be automatically filed in full. If not, proceed to step S43;

[0034] S43 determines whether the confidentiality level of the electronic file is confidential and the number of pages of the electronic file is greater than the second page number threshold. If so, the first and last pages of the electronic file are automatically filed, and the second page number threshold is less than the first page number threshold. If not, proceed to step S44.

[0035] S44 backs up the title of the electronic file.

[0036] The reliability of electronic archive backup is improved by automatically backing up the full text of the electronic archive in steps according to the confidentiality level and number of pages of the electronic archive. The top secret or confidential documents are first screened and then the number of pages is screened, so that the top secret or confidential documents with more pages are screened first, which improves the screening efficiency. The second page number threshold is set so that more content is saved in the confidentiality-level documents with a higher number of pages, which improves the reliability of the electronic archive.

[0037] A further technical solution is that the first page number threshold and the second page number threshold are determined according to the number of electronic archives and the space of cloud storage, wherein the calculation formula of the first page number threshold is:

[0038] S1=(K4(1-K5C) C +K6 arcsinD1)S

[0039] Among them, K4, K5, and K6 are constants, C, D1, and S are weights determined by the space of cloud storage, weights determined by the number of electronic files, and basic page number threshold, respectively. The value ranges of C and D are both between 0 and 1. The larger the space of cloud storage, the larger C is, and the more electronic files there are, the larger D is.

[0040] By determining the formula of the first page number threshold, the judgment of the number of pages becomes more accurate and consistent, thereby promoting the reliability of the model.

[0041] On the other hand, the present invention provides an electronic archive backup system based on cloud storage, which adopts the above-mentioned electronic archive backup method based on cloud storage, and specifically includes:

[0042] Type assessment module, importance assessment module, automatic backup module;

[0043] The type assessment module is responsible for determining the type of the electronic archive;

[0044] The importance evaluation module is responsible for determining the importance of the electronic file;

[0045] The automatic backup module is responsible for automatically backing up the electronic archives through cloud storage using different backup strategies.

[0046] On the other hand, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the above-mentioned electronic archive backup method based on cloud storage.

[0047] Other features and advantages will be described in the following description, and partly 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.

[0048] 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

[0049] 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 attached drawings.

[0050] Figure 1 is a flow chart of a cloud storage-based electronic archive backup method according to Example 1;

[0051] Figure 2 This is a framework diagram of an electronic archive backup system based on cloud storage in Example 2. DETAILED DESCRIPTION

[0052] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0053] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" 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.

[0054] Example 1

[0055] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a method for backing up an electronic archive based on cloud storage is provided, comprising:

[0056] S11 extracts the title of the electronic file, and determines the type of the electronic file based on the title of the electronic file;

[0057] For example, if the keywords of the title of the electronic file are "about" and "notice", then the electronic file is an official document.

[0058] S12: determining the importance of the electronic file based on the type, confidentiality level, and number of pages of the electronic file;

[0059] To give a specific example, the type, confidentiality level, and number of pages of the electronic file can be input into a prediction model based on a machine learning algorithm to obtain the importance of the electronic file. Alternatively, a specific calculation formula can be constructed through an empirical formula to convert the type and confidentiality level of the electronic file into a weight to calculate the importance of the electronic file.

[0060] S13: When the importance of the electronic file is greater than the first importance threshold, proceed to step S14;

[0061] For example, if the importance of the electronic file is 5 and the first importance threshold is 2, then the process goes to step S14, otherwise the process does not go to step S14 for automatic backup.

[0062] S14: Based on the confidentiality level and number of pages of the electronic file, different backup strategies are adopted to automatically back up the electronic file through cloud storage.

[0063] To give a specific example, when the classification of an electronic file is top secret or confidential, the full text is stored. If it is a secret or unclassified electronic file, the full text is stored only when there are many pages. Otherwise, only part of the content is saved or only the title is backed up.

[0064] By analyzing the titles of electronic archives, we can get the specific types of electronic archives, such as official documents, emails, certificates, etc. On this basis, based on the type, confidentiality level and number of pages of the electronic archives, we can get the importance of the electronic archives according to the prediction model of the machine learning algorithm or the method of constructing a formula. When the importance of the electronic archive is greater than the first importance threshold, it means that the importance of the electronic archive at this time is relatively strong. Then, according to the confidentiality level and number of pages of the electronic archive, different backup strategies are adopted to automatically back up through cloud storage. For example, the more pages and the higher the confidentiality level, the full text backup is performed. The lower the number of pages and the lower the confidentiality level, the partial backup or the title backup is performed. This solves the original technical problems of not constructing the importance of electronic archives, adopting different filing strategies according to different confidentiality levels and importance, and not adopting cloud storage for automatic filing. This further improves the reliability of electronic archives, promotes the improvement of the efficiency of electronic archive backup, and reduces unnecessary waste of storage space.

[0065] By determining the importance of the electronic archive based on the type, confidentiality level and number of pages of the electronic archive, it is possible to evaluate the importance of the electronic archive from multiple angles, so that the importance can more accurately reflect the actual status of the electronic archive and lay the foundation for the automatic storage of the electronic archive.

[0066] By setting the first importance threshold, the waste of cloud storage space for electronic files with low importance is avoided, so that the cloud storage space can give priority to the storage of electronic files with high importance in a more targeted manner, thereby improving the efficiency of backup and reducing space waste.

[0067] By adopting different backup strategies based on the confidentiality level and number of pages of the electronic archives, the electronic archives are automatically backed up through cloud storage, thereby improving the efficiency of backing up the electronic archives and improving the security of the electronic archives. At the same time, the backup of the electronic archives is made more targeted, and more efficient use of storage space is achieved.

[0068] In another possible embodiment, the specific steps of determining the type of the electronic archive are:

[0069] S21 extracts the title of the electronic file, and extracts keywords from the title of the electronic file to obtain keywords;

[0070] S22 matches the keyword with a keyword database based on the keyword to obtain a matching result;

[0071] For example, if the keywords are about, commendation, and notification, then about and notification in the keyword database correspond to official documents, and the matching result is the official document.

[0072] S23 obtains the type of the electronic file based on the matching result.

[0073] By obtaining the types of electronic archives, the comprehensiveness of the construction of the importance of electronic archives is greatly promoted, and the foundation is laid for the final targeted backup.

[0074] In another possible embodiment, the keyword database is constructed based on a mapping relationship between keywords and types of electronic archives.

[0075] In another possible embodiment, the calculation formula of the importance of the electronic file is:

[0076]

[0077] Among them, K1, K2, and K3 are constants, L, M, and Y are the weight determined according to the type of electronic file, the weight determined according to the confidentiality level of the electronic file, and the number of pages, respectively. The value range of L is between 0 and 1. The higher the importance of the type of electronic file, the larger L is. The value range of M is between 0 and 1. The higher the confidentiality level of the electronic file, the larger M is.

[0078] In another possible embodiment, the electronic files that need to be automatically backed up are determined by combining the confidentiality level with the importance of the electronic files, and the specific steps are as follows:

[0079] S31 determines whether the classification of the electronic file is top secret or confidential based on the classification of the electronic file. If so, the electronic file needs to be automatically backed up. If not, proceed to step S32;

[0080] S32: based on the importance of the electronic file, determining whether the importance of the electronic file is greater than a first importance threshold, if so, automatically backing up the electronic file is required, if not, proceeding to step S33;

[0081] S33: If and only if the importance of the electronic file is greater than a second importance threshold and the confidentiality level of the electronic file is confidential, it is necessary to automatically back up the electronic file, wherein the second importance threshold is less than the first importance threshold.

[0082] By determining the electronic archives that need to be automatically backed up in steps according to the confidentiality and importance of the electronic archives, the efficiency of electronic archive determination is improved, and it has higher comprehensiveness and reliability. At the same time, the automatic backup of electronic archives with low confidentiality but a certain degree of importance can ensure that electronic archives with higher importance and high confidentiality can be backed up, further ensuring the reliability of electronic archives.

[0083] In another possible embodiment, the first importance threshold and the second importance threshold are determined by the number of electronic archives, the space of cloud storage, and the nature of the electronic archives.

[0084] In another possible embodiment, the specific steps of automatically backing up the electronic file are:

[0085] S41 determines whether the classification level of the electronic file is top secret or confidential. If so, the electronic file needs to be automatically filed in full. If not, proceed to step S42;

[0086] S42 determines whether the number of pages of the electronic file is greater than a first page number threshold. If so, the electronic file needs to be automatically filed in full. If not, proceed to step S43;

[0087] S43 determines whether the confidentiality level of the electronic file is confidential and the number of pages of the electronic file is greater than the second page number threshold. If so, the first and last pages of the electronic file are automatically filed, and the second page number threshold is less than the first page number threshold. If not, proceed to step S44.

[0088] S44 backs up the title of the electronic file.

[0089] The reliability of electronic archive backup is improved by automatically backing up the full text of the electronic archive in steps according to the confidentiality level and number of pages of the electronic archive. The top secret or confidential documents are first screened and then the number of pages is screened, so that the top secret or confidential documents with more pages are screened first, which improves the screening efficiency. The second page number threshold is set so that more content is saved in the confidentiality-level documents with a higher number of pages, which improves the reliability of the electronic archive.

[0090] In another possible embodiment, the first page number threshold and the second page number threshold are determined according to the number of electronic archives and the space of cloud storage, wherein the calculation formula of the first page number threshold is:

[0091] S1=(K4(1-K5C) C +K6 arcsinD1)S

[0092] Among them, K4, K5, and K6 are constants, C, D1, and S are weights determined by the space of cloud storage, weights determined by the number of electronic files, and basic page number threshold, respectively. The value ranges of C and D are both between 0 and 1. The larger the space of cloud storage, the larger C is, and the more electronic files there are, the larger D is.

[0093] By determining the formula of the first page number threshold, the judgment of the number of pages becomes more accurate and consistent, thereby promoting the reliability of the model.

[0094] Example 2

[0095] like Figure 2 As shown, an electronic archive backup system based on cloud storage is provided in an embodiment of the present application, which adopts the above-mentioned electronic archive backup method based on cloud storage, specifically including:

[0096] Type assessment module, importance assessment module, automatic backup module;

[0097] The type assessment module is responsible for determining the type of the electronic archive;

[0098] The importance evaluation module is responsible for determining the importance of the electronic file;

[0099] The automatic backup module is responsible for automatically backing up the electronic archives through cloud storage using different backup strategies.

[0100] Example 3

[0101] The present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned electronic archive backup method based on cloud storage.

[0102] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0103] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0104] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0105] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for backing up electronic files based on cloud storage, characterized in that: Specifically include: S11 extracts the title of the electronic file, and determines the type of the electronic file based on the title of the electronic file; S12: determining the importance of the electronic file based on the type, confidentiality level, and number of pages of the electronic file; S13: When the importance of the electronic file is greater than the first importance threshold, proceed to step S14; S14 automatically backs up the electronic file through cloud storage using different backup strategies based on the confidentiality level and number of pages of the electronic file; The specific steps for automatically backing up the electronic archives are as follows: S41 determines whether the classification level of the electronic file is top secret or confidential. If so, it is necessary to automatically back up the full text of the electronic file. If not, proceed to step S42; S42 determines whether the number of pages of the electronic file is greater than a first page number threshold. If so, it is necessary to automatically back up the full text of the electronic file. If not, proceed to step S43; S43 determines whether the confidentiality level of the electronic file is confidential and the number of pages of the electronic file is greater than a second page number threshold. If so, automatically back up the first and last pages of the electronic file, and the second page number threshold is less than the first page number threshold. If not, proceed to step S44. S44 backs up the title of the electronic file.

2. The electronic archive backup method based on cloud storage as claimed in claim 1, characterized in that: The specific steps for determining the type of the electronic archive are: S21 extracts the title of the electronic file, and extracts keywords from the title of the electronic file to obtain keywords; S22 matches the keyword with a keyword database based on the keyword to obtain a matching result; S23 obtains the type of the electronic file based on the matching result.

3. The electronic archive backup method based on cloud storage as claimed in claim 2, characterized in that: The keyword database is constructed based on the mapping relationship between keywords and types of electronic archives.

4. The electronic archive backup method based on cloud storage as claimed in claim 1, characterized in that: The calculation formula for the importance of the electronic archive is: Among them, K1, K2, and K3 are constants, L, M, and Y are the weight determined according to the type of electronic file, the weight determined according to the confidentiality level of the electronic file, and the number of pages, respectively. The value range of L is between 0 and 1. The higher the importance of the type of electronic file, the larger L is. The value range of M is between 0 and 1. The higher the confidentiality level of the electronic file, the larger M is.

5. The electronic archive backup method based on cloud storage as claimed in claim 1, characterized in that: The first page number threshold and the second page number threshold are determined according to the number of electronic archives and the space of cloud storage, wherein the calculation formula of the first page number threshold is: Among them, K4, K5, and K6 are constants, C, D1, and S are weights determined by the space of cloud storage, weights determined by the number of electronic files, and basic page number threshold, respectively. The value ranges of C and D1 are both between 0 and 1. The larger the space of cloud storage, the larger C is, the more electronic files there are, and the larger D1 is.

6. A cloud storage-based electronic archive backup system, using the cloud storage-based electronic archive backup method according to any one of claims 1 to 5, specifically comprising: Type assessment module, importance assessment module, automatic backup module; The type assessment module is responsible for determining the type of the electronic archive; The importance evaluation module is responsible for determining the importance of the electronic file; The automatic backup module is responsible for automatically backing up the electronic archives through cloud storage using different backup strategies.

7. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the cloud storage-based electronic archive backup method according to any one of claims 1 to 5.

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