File digital management method and system applied to paper files and medium

Abstract

The invention relates to an archive digital management method and system applied to a paper archive and a medium, and the method comprises the steps: M1, collecting the data information of a storage track of the paper archive in the digital process of the paper archive, and obtaining the data information of the number of the archive in real time; and M2, based on the data information of the paper archive storage track, smoothing the paper archive storage track by adopting an improved Kriging interpolation algorithm to obtain the data information of the smoothed paper archive storage track, and cutting the paper archive storage track according to a fixed step length to obtain the cut paper archive storage track. And obtaining data information of the storage track of the cut paper archive. According to the method, the storage space is saved, quick retrieval, copying and transmission are facilitated, and the management efficiency and the utilization value of the archives are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of paper archive digitization, and in particular to an archive digitization management method and system medium applied to paper archives. Background Art

[0002] The digitization of paper archives is an important change in the field of archives management, and its background is mainly driven by the development of the Internet of Things and digital development. With the continuous advancement of Internet of Things technology, archives management has achieved automation and intelligence, improving efficiency and security. At the same time, the development of digital technology, such as computer technology and scanning technology, has made it possible to convert paper archives into digital information. Traditional paper archives take up a lot of space and are easily damaged. Summary of the invention

[0003] In view of the above problems, the present invention provides a digital archive management method, system and medium applied to paper archives, which not only saves storage space, but also facilitates rapid retrieval, copying and transmission, and greatly improves the management efficiency and utilization value of archives.

[0004] In order to achieve the above-mentioned purpose and other related purposes, the technical solution provided by the present invention is as follows: a digital archive management method applied to paper archives, the method comprising:

[0005] M1. During the digitization of paper archives, data information on the storage track of paper archives is collected, and data information on the archive number is obtained in real time;

[0006] M2. Based on the data information of the paper archive storage trajectory, the paper archive storage trajectory is smoothed using an improved Kriging interpolation algorithm to obtain the data information of the paper archive storage trajectory after smoothing;

[0007] M3. Based on the data information of the paper archive storage trajectory after the smoothing process, the paper archive storage trajectory is cropped according to a fixed step length to obtain the data information of the cropped paper archive storage trajectory;

[0008] M4. Based on the data information of the storage trajectory of the cut paper archives and the data information of the archive numbers, the archive digital management algorithm based on the Spearman correlation coefficient is used to optimize the storage of the archives to obtain the data information of the digital archives after optimized management.

[0009] Furthermore, in step M2, the smoothing process of the paper archive storage trajectory using the improved Kriging interpolation algorithm includes:

[0010] M21. Based on the data information of the paper archive storage trajectory, construct a trajectory point matrix of the paper archive to obtain data information of the trajectory point matrix of the paper archive;

[0011] M22. Based on the data information of the trajectory point matrix of the paper archive, establish the semivariogram function Q of the trajectory point of the paper archive,

[0012]

[0013] Among them, x is the data information of the trajectory point matrix of the paper archive, α1, α2 and α3 are the semi-variation factors of the trajectory points of the paper archive, and the correlation of the trajectory points of the paper archive is characterized to obtain the data information of the correlation of the trajectory points of the paper archive;

[0014] M23. Based on the data information of the correlation of the trajectory points of the paper archive, establish the interpolation function W of the trajectory points of the paper archive,

[0015]

[0016] Among them, y is the data information of the correlation of the trajectory points of the paper archives, β1, β2 and β3 are the weight coefficients of the trajectory points of the paper archives, and the paper archive storage trajectory is smoothed to obtain the data information of the smoothed paper archive storage trajectory.

[0017] Furthermore, the weight coefficients β1, β2 and β3 of the trajectory points of the paper archive are,

[0018] Among them, y is the data information of the correlation of the trajectory points of the paper archives.

[0019] Furthermore, the semi-variation factors α1, α2 and α3 of the trajectory points of the paper archive are,

[0020]

[0021] Among them, x is the data information of the trajectory point matrix of the paper archive.

[0022] Furthermore, in step M4, the use of the archive digital management algorithm based on the Spearman correlation coefficient to optimize the storage of archives includes:

[0023] M41. Based on the data information of the storage track of the cut paper archive and the data information of the archive number, establish the Spearman correlation function H of the archive,

[0024]

[0025] Among them, h1 is the data information of the storage trajectory of the cropped paper archive, h2 is the data information of the archive number, θ1, θ2 and θ3 are the Spearman correlation factors of the archive, which characterize the correlation between the archive storage trajectory and the number, and obtain the data information of the correlation between the archive storage trajectory and the number;

[0026] M42. Based on the data information of the correlation between the archive storage track and the number, establish the digital management function R of the archive,

[0027]

[0028] Among them, z is the data information of the correlation between the archive storage trajectory and the number, δ1, δ2 and δ3 are the cost factors of archive digital management;

[0029] M43. Based on the digital management function R of the archive, the storage of the archive is optimized and managed to obtain data information of the digital archive after optimized management.

[0030] Furthermore, it also includes:

[0031] M44. According to the data information of the digital archives after the optimized management, a feasibility evaluation function G of the digital archives management is established.

[0032]

[0033] Among them, r is the data information of the digitized archives after optimized management, γ1, γ2 and γ3 are the feasibility assessment factors of the digital management of archives, the data information of the feasibility assessment value of the digital management of archives is obtained, and a preset threshold is set. If the feasibility assessment value of the digital management of archives is greater than the preset threshold, the requirement is met; if the feasibility assessment value of the digital management of archives is less than the preset threshold, the requirement is not met, and an error warning message is issued.

[0034] Furthermore, the cost factors δ1, δ2 and δ3 of the digital archive management are:

[0035]

[0036] Among them, z is the data information of the correlation between the archive storage trajectory and the number.

[0037] Furthermore, the constraint function f of the cost factors δ1, δ2 and δ3 of the digital archive management is:

[0038]

[0039] Among them, the value range of the constraint function f is (3,5).

[0040] In order to achieve the above-mentioned purpose and other related purposes, the present invention also provides a digital archive management system applied to paper archives, including a computer device, which is programmed or configured to execute any one of the steps of the digital archive management method applied to paper archives.

[0041] In order to achieve the above-mentioned purpose and other related purposes, the present invention also provides a computer-readable storage medium, which stores a computer program programmed or configured to execute any one of the methods for digitalizing archives applied to paper archives.

[0042] The present invention has the following positive effects:

[0043] 1. The present invention uses an improved Kriging interpolation algorithm to smooth the storage trajectory of paper archives, and combines it with an archive digital management algorithm based on the Spearman correlation coefficient to optimize the storage management of archives, which not only saves storage space, but also facilitates rapid retrieval, copying and transmission, and greatly improves the management efficiency and utilization value of archives.

[0044] 2. Aiming at the situation that the storage trajectory of the read paper archives is not smooth, the present invention segments the trajectory, which effectively solves the problem of the non-smooth data flow nodes of the paper archives. At the same time, for the paper archives with large traffic and complex content, the paper archives are stored and managed in batches, which improves the security of the paper archive digitization process. At the same time, the digitized archives do not require a large amount of storage space, and compared with the paper archives, a large amount of physical space and storage costs can be saved. At the same time, the management and maintenance of the digitized archives are also more convenient, which reduces the investment of manpower and material resources and reduces the management cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0046] Figure 2 It is a schematic diagram of the process flow of the improved Kriging interpolation algorithm of the present invention;

[0047] Figure 3 The figure is a flow chart of the archive digital management algorithm based on the Spearman correlation coefficient of the present invention. DETAILED DESCRIPTION

[0048] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0049] Example: Figure 1 As shown, a digital archive management method applied to paper archives, the method comprising:

[0050] M1. During the digitization of paper archives, data information on the storage track of paper archives is collected, and data information on the archive number is obtained in real time;

[0051] M2. Based on the data information of the paper archive storage trajectory, the paper archive storage trajectory is smoothed using an improved Kriging interpolation algorithm to obtain the data information of the paper archive storage trajectory after smoothing;

[0052] M3. Based on the data information of the paper archive storage trajectory after the smoothing process, the paper archive storage trajectory is cropped according to a fixed step length to obtain the data information of the cropped paper archive storage trajectory;

[0053] M4. Based on the data information of the storage trajectory of the cut paper archives and the data information of the archive numbers, the archive digital management algorithm based on the Spearman correlation coefficient is used to optimize the storage of the archives to obtain the data information of the digital archives after optimized management.

[0054] In this embodiment, if Figure 2 As shown, in step M2, the smoothing process of the paper archive storage trajectory using the improved Kriging interpolation algorithm includes:

[0055] M21. Based on the data information of the paper archive storage trajectory, construct a trajectory point matrix of the paper archive to obtain data information of the trajectory point matrix of the paper archive;

[0056] M22. Based on the data information of the trajectory point matrix of the paper archive, establish the semivariogram function Q of the trajectory point of the paper archive,

[0057]

[0058] Among them, x is the data information of the trajectory point matrix of the paper archive, α1, α2 and α3 are the semi-variation factors of the trajectory points of the paper archive, and the correlation of the trajectory points of the paper archive is characterized to obtain the data information of the correlation of the trajectory points of the paper archive;

[0059] M23. Based on the data information of the correlation of the trajectory points of the paper archive, establish the interpolation function W of the trajectory points of the paper archive,

[0060]

[0061] Among them, y is the data information of the correlation of the trajectory points of the paper archives, β1, β2 and β3 are the weight coefficients of the trajectory points of the paper archives, and the paper archive storage trajectory is smoothed to obtain the data information of the smoothed paper archive storage trajectory.

[0062] In this embodiment, the weight coefficients β1, β2 and β3 of the trajectory points of the paper archive are:

[0063]

[0064] Among them, y is the data information of the correlation of the trajectory points of the paper archives.

[0065] In this embodiment, the semi-variation factors α1, α2 and α3 of the trajectory points of the paper archive are,

[0066]

[0067] Among them, x is the data information of the trajectory point matrix of the paper archive.

[0068] In this embodiment, if Figure 3 As shown, further, in step M4, the use of the archive digital management algorithm based on the Spearman correlation coefficient to optimize the storage of archives includes:

[0069] M41. Based on the data information of the storage track of the cut paper archive and the data information of the archive number, establish the Spearman correlation function H of the archive,

[0070]

[0071] Among them, h1 is the data information of the storage trajectory of the cropped paper archive, h2 is the data information of the archive number, θ1, θ2 and θ3 are the Spearman correlation factors of the archive, which characterize the correlation between the archive storage trajectory and the number, and obtain the data information of the correlation between the archive storage trajectory and the number;

[0072] M42. Based on the data information of the correlation between the archive storage track and the number, establish the digital management function R of the archive,

[0073]

[0074] Among them, z is the data information of the correlation between the archive storage trajectory and the number, δ1, δ2 and δ3 are the cost factors of archive digital management;

[0075] M43. Based on the digital management function R of the archive, the storage of the archive is optimized and managed to obtain data information of the digital archive after optimized management.

[0076] In this embodiment, it also includes:

[0077] M44. According to the data information of the digital archives after the optimized management, a feasibility evaluation function G of the digital archives management is established.

[0078]

[0079] Among them, r is the data information of the digitized archives after optimized management, γ1, γ2 and γ3 are the feasibility assessment factors of the digital management of archives, the data information of the feasibility assessment value of the digital management of archives is obtained, and a preset threshold is set. If the feasibility assessment value of the digital management of archives is greater than the preset threshold, the requirement is met; if the feasibility assessment value of the digital management of archives is less than the preset threshold, the requirement is not met, and an error warning message is issued.

[0080] In this embodiment, the cost factors δ1, δ2 and δ3 of the digital archive management are:

[0081]

[0082] Among them, z is the data information of the correlation between the archive storage trajectory and the number.

[0083] In this embodiment, the constraint function f of the cost factors δ1, δ2 and δ3 of the digital archive management is:

[0084]

[0085] Among them, the value range of the constraint function f is (3,5).

[0086] Embodiment 2: Based on the archive digital management method applied to paper archives in Embodiment 1, the present invention is further illustrated and described below.

[0087] like Figure 1 As shown, a digital archive management method applied to paper archives, the method comprising:

[0088] M1. During the digitization of paper archives, data information on the storage track of paper archives is collected, and data information on the archive number is obtained in real time;

[0089] M2. Based on the data information of the paper archive storage trajectory, the paper archive storage trajectory is smoothed using an improved Kriging interpolation algorithm to obtain the data information of the paper archive storage trajectory after smoothing;

[0090] M3. Based on the data information of the paper archive storage trajectory after the smoothing process, the paper archive storage trajectory is cropped according to a fixed step length to obtain the data information of the cropped paper archive storage trajectory;

[0091] M4. Based on the data information of the storage trajectory of the cut paper archives and the data information of the archive numbers, the archive digital management algorithm based on the Spearman correlation coefficient is used to optimize the storage of the archives to obtain the data information of the digital archives after optimized management.

[0092] In this embodiment, the present invention provides a digital archive management system applied to paper archives, including a computer device that is programmed or configured to execute any one of the steps of the digital archive management method applied to paper archives.

[0093] In this embodiment, a digital archive management system for paper archives is provided, the system comprising:

[0094] The data acquisition module is used to collect data information of the storage track of paper archives and obtain data information of archive numbers in real time;

[0095] The paper archive storage trajectory smoothing module is used to smooth the paper archive storage trajectory using an improved Kriging interpolation algorithm to obtain data information of the paper archive storage trajectory after smoothing;

[0096] A paper archive storage track cutting module is used to cut the paper archive storage track according to a fixed step length to obtain data information of the cut paper archive storage track;

[0097] The paper archive digital management optimization module is used to optimize the storage of archives using an archive digital management algorithm based on the Spearman correlation coefficient, and obtain the data information of the digital archives after optimized management.

[0098] In this embodiment, document collection: First, it is necessary to collect the documents that need to be indexed. These documents can be text files, web page contents, etc.

[0099] Document preprocessing: Preprocess the collected documents, including removing stop words, punctuation marks, and performing stemming, etc., to reduce the size of the index and improve retrieval efficiency.

[0100] Lexical analysis: Split the preprocessed documents into a series of keywords or terms, which will be used to build the inverted index.

[0101] Inverted list construction: Establish a mapping relationship between terms and documents. For each keyword, record a list of all documents containing the keyword. The structure of the inverted list is similar to a term-document inverted list, which can quickly locate documents containing specific keywords.

[0102] Inverted file generation: Store the information in the inverted table into the inverted file to form the final inverted index structure.

[0103] Index optimization: Optimize the generated inverted index, including removing duplicates, compressing storage, etc., to improve the efficiency and performance of the index.

[0104] Storage and maintenance: The optimized inverted index is stored and regularly maintained and updated to adapt to changes in document content.

[0105] In this embodiment, the present invention provides a computer-readable storage medium, on which is stored a computer program programmed or configured to execute any one of the methods for digitalizing archives applied to paper archives.

[0106] Any reference to memory, storage, database or other media used in the embodiments provided in the present application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM).

[0107] In summary, the present invention not only saves storage space, but also facilitates rapid retrieval, copying and transmission, and greatly improves the management efficiency and utilization value of archives.

[0108] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A digital archive management method applied to paper archives, characterized in that: The method comprises: M1. During the digitization of paper archives, data information on the storage track of paper archives is collected, and data information on the archive number is obtained in real time; M2. Based on the data information of the paper archive storage trajectory, the paper archive storage trajectory is smoothed using an improved Kriging interpolation algorithm to obtain the data information of the paper archive storage trajectory after smoothing; M3. Based on the data information of the paper archive storage trajectory after the smoothing process, the paper archive storage trajectory is cropped according to a fixed step length to obtain the data information of the cropped paper archive storage trajectory; M4. Based on the data information of the storage trajectory of the cut paper archives and the data information of the archive numbers, the archive digital management algorithm based on the Spearman correlation coefficient is used to optimize the storage of the archives to obtain the data information of the digital archives after optimized management.

2. The digital archive management method for paper archives according to claim 1, characterized in that: In step M2, the smoothing process of the paper archive storage trajectory using the improved Kriging interpolation algorithm includes: M21. Based on the data information of the paper archive storage trajectory, construct a trajectory point matrix of the paper archive to obtain data information of the trajectory point matrix of the paper archive; M22. Based on the data information of the trajectory point matrix of the paper archive, establish the semivariogram function Q of the trajectory point of the paper archive, Among them, x is the data information of the trajectory point matrix of the paper archive, α1, α2 and α3 are the semi-variation factors of the trajectory points of the paper archive, and the correlation of the trajectory points of the paper archive is characterized to obtain the data information of the correlation of the trajectory points of the paper archive; M23. Based on the data information of the correlation of the trajectory points of the paper archive, establish the interpolation function W of the trajectory points of the paper archive, Among them, y is the data information of the correlation of the trajectory points of the paper archives, β1, β2 and β3 are the weight coefficients of the trajectory points of the paper archives, and the paper archive storage trajectory is smoothed to obtain the data information of the smoothed paper archive storage trajectory.

3. The digital archive management method for paper archives according to claim 2 is characterized in that: The weight coefficients β1, β2 and β3 of the trajectory points of the paper archive are, Among them, y is the data information of the correlation of the trajectory points of the paper archives.

4. The digital archive management method for paper archives according to claim 2 is characterized in that: The semi-variation factors α1, α2 and α3 of the trajectory points of the paper archive are, Among them, x is the data information of the trajectory point matrix of the paper archive.

5. The digital archive management method for paper archives according to claim 1, characterized in that: In step M4, the use of the archive digital management algorithm based on the Spearman correlation coefficient to optimize the storage of archives includes: M41. Based on the data information of the storage track of the cut paper archive and the data information of the archive number, establish the Spearman correlation function H of the archive, Among them, h1 is the data information of the storage trajectory of the cropped paper archive, h2 is the data information of the archive number, θ1, θ2 and θ3 are the Spearman correlation factors of the archive, which characterize the correlation between the archive storage trajectory and the number, and obtain the data information of the correlation between the archive storage trajectory and the number; M42. Based on the data information of the correlation between the archive storage track and the number, establish the digital management function R of the archive, Among them, z is the data information of the correlation between the archive storage trajectory and the number, δ1, δ2 and δ3 are the cost factors of archive digital management; M43. Based on the digital management function R of the archive, the storage of the archive is optimized and managed to obtain data information of the digital archive after optimized management.

6. The digital archive management method for paper archives according to claim 5, characterized in that: Also includes: M44. According to the data information of the digital archives after the optimized management, a feasibility evaluation function G of the digital archives management is established. Among them, r is the data information of the digitized archives after optimized management, γ1, γ2 and γ3 are the feasibility assessment factors of the digital management of archives, the data information of the feasibility assessment value of the digital management of archives is obtained, and a preset threshold is set. If the feasibility assessment value of the digital management of archives is greater than the preset threshold, the requirement is met; if the feasibility assessment value of the digital management of archives is less than the preset threshold, the requirement is not met, and an error warning message is issued.

7. The digital archive management method for paper archives according to claim 5 is characterized in that: The cost factors δ1, δ2 and δ3 of the digital archive management are: Among them, z is the data information of the correlation between the archive storage trajectory and the number.

8. The digital archive management method for paper archives according to claim 7 is characterized in that: The constraint function f of the cost factors δ1, δ2 and δ3 of the digital archive management is: Among them, the value range of the constraint function f is (3,5).

9. A digital archive management system for paper archives, comprising a computer device, characterized in that: The computer device is programmed or configured to execute the steps of the archive digitalization management method applied to paper archives as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program programmed or configured to execute the archive digitalization management method applied to paper archives as described in any one of claims 1 to 8.

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