CN117671714A - Intelligent archive management method and system for building full life cycle - Google Patents

Abstract

The invention discloses an intelligent archive management method and system for constructing a full life cycle, and relates to the technical field of archive management. The method comprises the following steps: collecting archival data and creating a primary archive; performing file arrangement based on the primary archives, generating and storing an ultimate archives; file retrieval and sharing are carried out by establishing a retrieval rule; recording the operation history and the access history of the file, and marking and tracing; establishing archiving requirements and conducting archiving and backup; setting archive destruction rules and periodically destroying and updating. According to the invention, through collecting, identifying, sorting, storing, searching, counting and destroying the file information resources, file management in a full period from file collection to file destruction is established, so that the integrated utilization and management of the file resources are realized; thereby improving the efficiency and quality of file management and promoting information sharing and collaboration.

Description

A method and system for building a full life cycle of smart archives management

Technical field

The invention belongs to the technical field of archives management, and in particular relates to a method and system for constructing a full life cycle of intelligent archives management.

Background technique

The application of smart archives refers to the intelligentization and digitization of archives management. Intelligent and digital technologies make the management and interaction of archives more convenient and promote the sharing and utilization of information. However, the existing archives management only focuses on the collection, sorting and retrieval of archives, and does not establish a full life cycle archives management process from the generation to destruction of archives. Therefore, there will be low efficiency of archives management, inability to guarantee archives security, and information Issues such as barriers to sharing and interaction.

Contents of the invention

The purpose of the present invention is to provide a method and system for constructing a full life cycle of smart archive management, which is specifically achieved through the following technical solutions:

In the first aspect, embodiments of this application provide a method for constructing a full life cycle smart archive management method, which includes the following steps:

Collect archival data and create a primary archive;

Organize files based on the primary archives, generate and store the final archives;

Archive retrieval and sharing by establishing search rules;

Record the operation history and access history of archives and mark and trace them;

Establish archiving requirements and perform archiving and backup;

Set file destruction rules and destroy and update them regularly;

Collecting archival data includes online collection, offline collection and automatic collection;

The specific steps of creating the primary archive include: converting paper archives into electronic archives through information scanning;

The file sorting includes data classification, document image processing and document text processing;

Establishing the search rules includes keyword search, fuzzy search, full-text search, related search and synonym search;

Among them, the full-text search uses OCR recognition technology; the synonym search uses natural semantic analysis technology;

The archiving requirement is established based on the operation history and the access history, and is used to archive and save backups of infrequently accessed files.

Preferably, establishing a connection between the ultimate archive and the blockchain includes the following steps:

Establish blockchain nodes and create smart contracts in said blockchain;

Record the archive information in the ultimate archive in the blockchain node;

Establish an access control mechanism based on the smart contract.

Preferably, the access control mechanism is specifically:

Divide the archives in the ultimate archive into a number of archive blocks containing archive information;

Encrypt the file block and set a verification method;

Assign access rights to visitors based on the smart contract;

If a visitor accesses the archive block, the access rights are matched and verified.

Preferably, document image processing is performed on archive materials, including the following steps:

Obtain archival images in paper archival materials; the archival images include reference images and images to be detected;

extracting a plurality of reference statistical features in the reference image;

Perform feature encoding on the reference statistical features to generate a reference statistical feature vector;

Perform image coding on the reference image to generate a reference image feature vector;

Optimize the feature encoding of the reference image feature vector based on the reference statistical feature vector to obtain an optimized reference image feature matrix;

Perform image coding optimization on the image to be detected to obtain an optimized detection image feature matrix;

Measure the optimized reference image feature matrix and the optimized detection image feature matrix to obtain a measured feature vector;

Pass the metric feature vector through a classifier to obtain a classification result;

Wherein, the classification result indicates whether the image quality of the image to be detected meets predetermined requirements.

Preferably, the document image processing also includes image correction, image decontamination, image edge filling, image cropping and image rotation;

Regarding the image correction, it specifically includes the following steps:

Read the archive image to be corrected and preprocess the archive image to be corrected;

Use Fourier transform to obtain the tilt angle α of the preprocessed archival image to be corrected;

Determine the outer boundary line and tilt angle β of the archive image to be corrected through boundary fitting, and use spatial affine transformation to correct the tilt of the archive image to be corrected;

Extract the list of text pictures in the file image to be corrected, and use the preset radical components and/or text components to match the text pictures in the file image to be corrected, determine the inversion of the file image to be corrected, and compare the inverted file image to be corrected Flip to obtain a file image with the text content facing forward and the tilt angle meeting the specification requirements;

Wherein, the preprocessing includes white edge cropping and grayscale processing.

Preferably, the document text processing includes text cleaning, text standardization, text segmentation, text conversion and sensitive information processing.

Preferably, the document image processing and the document text processing also include image and text comparison, specifically:

Obtain archive images through the document image processing;

Obtain file text through the file text processing;

Compare the file image and the file text with pictures and texts to obtain comparison results;

The comparison result indicates the degree of matching between the image and the text of the file.

Preferably, the files are destroyed and updated regularly, specifically: setting a time limit for file destruction, judging the files to be destroyed based on the file destruction rules, and if the files to be destroyed comply with the file destruction rules, then the files to be destroyed are Archives to be destroyed are destroyed and the ultimate archive is updated.

Preferably, the archive storage process also includes checking the archive information, specifically including the following steps:

Obtain the set of associated file storage areas corresponding to the first file inspection keyword corresponding to the file storage area to be checked and the first file retrieval path;

Centrally obtain the second file check keyword from the associated file storage area, and analyze the first file parsing sequence associated with the first file check keyword in the first file retrieval path within the preset time and the second file check keyword The second file parsing sequence associated with the corresponding second file retrieval path;

Based on the pre-configured file parsing architecture, the file information in the first file parsing sequence and the file information in the second file parsing sequence are respectively parsed to obtain the first file information set and the second file parsing in the first file parsing sequence respectively. a second set of archival information in the sequence;

Determine associated file information related to the file writing problem in the file storage area to be checked from the first file information set and the second file information set respectively, and establish a binding relationship between the associated file information and the file storage area to be checked;

Send and record the associated file information and the inspection status of the file storage area to be inspected.

In the second aspect, embodiments of the present application provide a smart archive management system that builds a full life cycle, including an archive collection module, an archive arrangement module, an archive retrieval module, an archive recording module, an archive storage module and an archive destruction module that are sequentially communicated and connected. ;

The archive collection module is used to collect archive materials and create a primary archive;

The file sorting module organizes files based on the primary archive and generates a final archive;

The archive retrieval module is used to establish retrieval rules and perform archive retrieval and sharing;

The archive recording module is used to record the operation history and access history of archives and to mark and trace them;

The archive storage module is used to establish archiving requirements, perform archiving and backup, and store the ultimate archive;

The file destruction module is used to set file destruction rules and destroy and update them regularly.

The beneficial effects of the present invention are:

(1) The present invention establishes a full-cycle archive management from archive collection to archive destruction by collecting, identifying, sorting, storing, retrieving statistics and destroying archive information resources, thereby realizing integrated utilization and management of archive resources; This will further improve the efficiency and quality of archives management and promote information sharing and collaboration.

(2) The present invention combines blockchain with archive management, which can ensure the security, privacy protection and transparency of archives, and improve the reliability and traceability of archive information.

(3) The present invention greatly improves the efficiency of file inspection by checking file information. It can also avoid misjudgments caused by manual inspection one by one and improve the accuracy of file analysis and inspection.

(4) The present invention uses artificial intelligence detection technology based on deep learning to extract high-dimensional implicit feature distribution information in the paper archive image to be detected and the reference paper archive image, and further uses a distance measurement tool to measure the to-be-detected The characteristic difference between the implicit features of the paper archive image and the implicit features of the reference paper archive image is used to evaluate the quality of the paper archive image to be detected. In this way, the quality of the scanned paper archive image can be intelligently and accurately inspected to determine whether the clarity of the scanned archive image meets subsequent application requirements.

(5) The present invention realizes the tilt correction of the archive image by fitting the frame of the scanned archive image and performing Fourier transform on it, and can solve the problem that the straight line cannot be accurately fitted due to paper damage caused by the archive being stored for too long. situation, it can shield information irrelevant to the layout content, thereby improving the accuracy of tilt correction; for inversion situations, inversion detection is used to ensure that the file text is in the forward direction, improve file processing efficiency, and facilitate application in file digital management and archiving.

Description of drawings

For better understanding and implementation, the technical solution of the present application will be described in detail below with reference to the accompanying drawings.

Figure 1 is a flow chart of steps for constructing a full life cycle smart archive management method provided by an embodiment of the present application;

Figure 2 is a schematic structural diagram of a full life cycle smart archive management system provided by an embodiment of the present application.

Detailed ways

In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended inventive object, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of methods and systems consistent with aspects of the application as detailed in the appended claims.

The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a," "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and/or" as used herein is meant to encompass any and all possible combinations of one or more of the associated listed items.

Specific implementations, features and effects of the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.

Example 1

Please refer to Figure 1. This embodiment of the present application provides a method for constructing a full life cycle smart archive management method, which includes the following steps:

Collect archival data and create a primary archive;

Organize files based on the primary archives, generate and store the final archives;

Archive retrieval and sharing by establishing search rules;

Record the operation history and access history of archives and mark and trace them;

Establish archiving requirements and perform archiving and backup;

Set file destruction rules and destroy and update them regularly;

Collecting archival data includes online collection, offline collection and automatic collection;

The specific steps of creating the primary archive include: converting paper archives into electronic archives through information scanning;

The file sorting includes data classification, document image processing and document text processing;

Establishing the search rules includes keyword search, fuzzy search, full-text search, related search and synonym search;

Among them, the full-text search uses OCR recognition technology; the synonym search uses natural semantic analysis technology;

The archiving requirement is established based on the operation history and the access history, and is used to archive and save backups of infrequently accessed files.

In an embodiment provided by this application, establishing a connection between the ultimate archive and the blockchain includes the following steps:

Establish blockchain nodes and create smart contracts in said blockchain;

Record the archive information in the ultimate archive in the blockchain node;

Establish an access control mechanism based on the smart contract.

Further, the access control mechanism is specifically:

Divide the archives in the ultimate archive into a number of archive blocks containing archive information;

Encrypt the file block and set a verification method;

Assign access rights to visitors based on the smart contract;

If a visitor accesses the archive block, the access rights are matched and verified.

In an embodiment provided by this application, performing document image processing on archival data includes the following steps:

Obtain archival images in paper archival materials; the archival images include reference images and images to be detected;

extracting a plurality of reference statistical features in the reference image;

Perform feature encoding on the reference statistical features to generate a reference statistical feature vector;

Perform image coding on the reference image to generate a reference image feature vector;

Optimize the feature encoding of the reference image feature vector based on the reference statistical feature vector to obtain an optimized reference image feature matrix;

Perform image coding optimization on the image to be detected to obtain an optimized detection image feature matrix;

Measure the optimized reference image feature matrix and the optimized detection image feature matrix to obtain a measured feature vector;

Pass the metric feature vector through a classifier to obtain a classification result;

Wherein, the classification result indicates whether the image quality of the image to be detected meets predetermined requirements.

Further, the document image processing also includes image correction, image decontamination, image edge filling, image cropping and image rotation;

Regarding the image correction, it specifically includes the following steps:

Read the archive image to be corrected and preprocess the archive image to be corrected;

Use Fourier transform to obtain the tilt angle α of the preprocessed archival image to be corrected;

Determine the outer boundary line and tilt angle β of the archive image to be corrected through boundary fitting, and use spatial affine transformation to correct the tilt of the archive image to be corrected;

Extract the list of text pictures in the file image to be corrected, and use the preset radical components and/or text components to match the text pictures in the file image to be corrected, determine the inversion of the file image to be corrected, and compare the inverted file image to be corrected Flip to obtain a file image with the text content facing forward and the tilt angle meeting the specification requirements;

Wherein, the preprocessing includes white edge cropping and grayscale processing.

In an embodiment provided by this application, the document text processing includes text cleaning, text standardization, text segmentation, text conversion and sensitive information processing.

Further, regarding the document image processing and the document text processing, image and text comparison is also included, specifically:

Obtain archive images through the document image processing;

Obtain file text through the file text processing;

Compare the file image and the file text with pictures and texts to obtain comparison results;

The comparison result indicates the degree of matching between the image and the text of the file.

In an embodiment provided by this application, files are regularly destroyed and updated, specifically: setting a time limit for file destruction, and judging the files to be destroyed based on the file destruction rules. If the files to be destroyed meet the requirements According to the file destruction rules, the files to be destroyed are destroyed and the ultimate archive library is updated.

In an embodiment provided by this application, the file storage process also includes checking the file information, which specifically includes the following steps:

Obtain the set of associated file storage areas corresponding to the first file inspection keyword corresponding to the file storage area to be checked and the first file retrieval path;

Centrally obtain the second file check keyword from the associated file storage area, and analyze the first file parsing sequence associated with the first file check keyword in the first file retrieval path within the preset time and the second file check keyword The second file parsing sequence associated with the corresponding second file retrieval path;

Based on the pre-configured file parsing architecture, the file information in the first file parsing sequence and the file information in the second file parsing sequence are respectively parsed to obtain the first file information set and the second file parsing in the first file parsing sequence respectively. a second set of archival information in the sequence;

Determine associated file information related to the file writing problem in the file storage area to be checked from the first file information set and the second file information set respectively, and establish a binding relationship between the associated file information and the file storage area to be checked;

Send and record the associated file information and the inspection status of the file storage area to be inspected.

In summary, the present invention establishes a full-cycle archive management from archive collection to archive destruction by collecting, identifying, sorting, storing, retrieving statistics and destroying archive information resources, thereby achieving integrated utilization and destruction of archive resources. management; thereby improving the efficiency and quality of archives management and promoting information sharing and collaboration.

The invention combines blockchain with archive management, which can ensure the security, privacy protection and transparency of archives, and improve the reliability and traceability of archive information.

The present invention greatly improves the efficiency of file inspection by checking the file information. It can also avoid misjudgments caused by manual inspection one by one and improve the accuracy of file analysis and inspection.

The present invention uses artificial intelligence detection technology based on deep learning to extract high-dimensional implicit feature distribution information in the paper archive image to be detected and the reference paper archive image, and further uses a distance measurement tool to measure the paper archive to be detected The feature difference between the implicit features of the image and the implicit features of the reference paper archive image is used to evaluate the quality of the paper archive image to be detected. In this way, the quality of the scanned paper archive image can be intelligently and accurately inspected to determine whether the clarity of the scanned archive image meets subsequent application requirements.

The present invention realizes the tilt correction of the archive image by fitting the frame of the scanned archive image and performing Fourier transform on it, and can solve the problem that the straight line cannot be accurately fitted due to paper damage caused by the archive being stored for too long, and can Shield information irrelevant to the layout content, thereby improving the accuracy of tilt correction; in the case of inversion, inversion detection is used to ensure the forward direction of the file text, improve file processing efficiency, and facilitate application in file digital management and archiving.

Example 2

Please refer to Figure 2. The embodiment of the present application provides a smart archive management system that builds a full life cycle, including an archive collection module, an archive arrangement module, an archive retrieval module, an archive recording module, an archive storage module and an archive destruction module that are sequentially communicated and connected. ;

The archive collection module is used to collect archive materials and create a primary archive;

The file sorting module organizes files based on the primary archive and generates a final archive;

The archive retrieval module is used to establish retrieval rules and perform archive retrieval and sharing;

The archive recording module is used to record the operation history and access history of archives and to mark and trace them;

The archive storage module is used to establish archiving requirements, perform archiving and backup, and store the ultimate archive;

The file destruction module is used to set file destruction rules and destroy and update them regularly.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not detailed or documented in a certain embodiment, please refer to the relevant descriptions of other embodiments.

Specifically, the system provides three collection methods: online collection, offline collection, and automatic collection, and can conduct four-character detection on the collected files; it provides functions of organizing and archiving, batch hooking, batch scanning, and file receiving; the system supports scanner linkage scanning Function, supports electronic document image processing (correction, stain removal, edge filling, cropping, rotation, etc.), and provides automatic processing tools for high-definition images, which can realize functions such as text deepening, red seal deepening, black spots removal, and background color changing.

The system can also add, delete, modify file data and perform daily maintenance of files. For archive data, it also provides functions such as batch modification, batch deletion, printing of various forms (various directories), data transfer, data transfer, personalized design, batch download, etc. Supports system announcement release and data recycle bin functions.

In the file destruction of this system, it meets the management requirements of preservation and destruction appraisal in the file storage process, completes the renewal and destruction of appraisal files according to the appraisal plan, and prints an inventory of appraisal documents to support expiration reminders.

The system provides multiple retrieval methods such as integrated retrieval, card retrieval, advanced retrieval, and full-text retrieval; it provides OCR recognition function to enable full-text retrieval of electronic archive contents; it supports associated retrieval to achieve associated retrieval between different archive types; It has natural semantic analysis function, can realize synonym retrieval, and provides synonym maintenance function.

The system provides file borrowing management for archivists, including borrowing registration, borrowing authorization approval (can be approved for individual files or multiple files), approval permission division (allowing to view, allowing to view and print), electronic file browsing, downloading, Printing needs to support custom watermarks (including static text watermarks and dynamic system time, access users); support the mask printing function of sensitive parts of electronic files; support the borrowing and return management of physical files, and support the overdue reminder function. Supports file information push function, including active push and request push modes.

The system supports file self-evaluation and expert re-evaluation functions. Users can self-evaluate their file management situation based on their own file management situation, and the system can generate a self-evaluation score based on the self-evaluation situation. Experts can re-evaluate the selection units according to the situation. The system can generate assessment result reports based on assessment, self-assessment, and re-assessment.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional units and modules is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs. Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be hardware-based. It can also be implemented in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present application. For the specific working processes of the units and modules in the above system, please refer to the corresponding processes in the foregoing method embodiments, and will not be described again here.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered to be beyond the scope of the present invention.

The above are only preferred embodiments of the present invention, and do not limit the present invention in any form. Although the present invention has been disclosed above in preferred embodiments, it is not intended to limit the present invention. Anyone skilled in the art , without departing from the scope of the technical solution of the present invention, the technical contents disclosed above can be used to make some changes or modifications to equivalent embodiments with equivalent changes. However, without departing from the technical solution of the present invention, according to the technical solution of the present invention, In essence, any brief modifications, equivalent changes and modifications made to the above embodiments still fall within the scope of the technical solution of the present invention.

Claims (10)

1. A method for constructing a full life cycle of smart archives management, which is characterized by: including the following steps: Collect archival data and create a primary archive; Organize files based on the primary archives, generate and store the final archives; Archive retrieval and sharing by establishing search rules; Record the operation history and access history of archives and mark and trace them; Establish archiving requirements and perform archiving and backup; Set file destruction rules and destroy and update them regularly; Collecting archival data includes online collection, offline collection and automatic collection; The specific steps of creating the primary archive include: converting paper archives into electronic archives through information scanning; The file sorting includes data classification, document image processing and document text processing; Establishing the search rules includes keyword search, fuzzy search, full-text search, related search and synonym search; Among them, the full-text search uses OCR recognition technology; the synonym search uses natural semantic analysis technology; The archiving requirement is established based on the operation history and the access history, and is used to archive and save backups of infrequently accessed files. 2. A method for constructing a full life cycle smart archive management method according to claim 1, characterized in that: establishing a connection between the ultimate archive and the blockchain includes the following steps: Establish blockchain nodes and create smart contracts in said blockchain; Record the archive information in the ultimate archive in the blockchain node; Establish an access control mechanism based on the smart contract. 3. A method for constructing a full life cycle smart archive management method according to claim 2, characterized in that: the access control mechanism is specifically: Divide the archives in the ultimate archive into a number of archive blocks containing archive information; Encrypt the file block and set a verification method; Assign access rights to visitors based on the smart contract; If a visitor accesses the archive block, the access rights are matched and verified. 4. A method for constructing a full life cycle of smart archive management according to claim 1, characterized in that: performing file image processing on archive materials, including the following steps: Obtain archival images in paper archival materials; the archival images include reference images and images to be detected; extracting a plurality of reference statistical features in the reference image; Perform feature encoding on the reference statistical features to generate a reference statistical feature vector; Perform image coding on the reference image to generate a reference image feature vector; Optimize the feature encoding of the reference image feature vector based on the reference statistical feature vector to obtain an optimized reference image feature matrix; Perform image coding optimization on the image to be detected to obtain an optimized detection image feature matrix; Measure the optimized reference image feature matrix and the optimized detection image feature matrix to obtain a measured feature vector; Pass the metric feature vector through a classifier to obtain a classification result; Wherein, the classification result indicates whether the image quality of the image to be detected meets predetermined requirements. 5. A method of constructing a full life cycle smart archive management method according to claim 4, characterized in that: the document image processing also includes image correction, image decontamination, image edge filling, image cropping and image rotation; Regarding the image correction, it specifically includes the following steps: Read the archive image to be corrected and preprocess the archive image to be corrected; Use Fourier transform to obtain the tilt angle α of the preprocessed archival image to be corrected; Determine the outer boundary line and tilt angle β of the archive image to be corrected through boundary fitting, and use spatial affine transformation to correct the tilt of the archive image to be corrected; Extract the list of text pictures in the file image to be corrected, and use the preset radical components and/or text components to match the text pictures in the file image to be corrected, determine the inversion of the file image to be corrected, and compare the inverted file image to be corrected Flip to obtain a file image with the text content facing forward and the tilt angle meeting the specification requirements; Wherein, the preprocessing includes white edge cropping and grayscale processing. 6. A method for constructing a full life cycle smart archive management method according to claim 1, characterized in that: the document text processing includes text cleaning, text standardization, text segmentation, text conversion and sensitive information processing. 7. A method for constructing a full life cycle smart archive management method according to claim 6, characterized in that: regarding the document image processing and the document text processing, it also includes image and text comparison, specifically: Obtain archive images through the document image processing; Obtain file text through the file text processing; Compare the file image and the file text with pictures and texts to obtain comparison results; The comparison result indicates the degree of matching between the image and the text of the file. 8. A method for constructing a full life cycle of smart archive management according to claim 1, characterized in that: archives are destroyed and updated regularly, specifically: setting a time limit for archive destruction, and treating the archives based on the archive destruction rules. Destruction of files is judged. If the file to be destroyed meets the file destruction rules, the file to be destroyed is destroyed and the ultimate archive is updated. 9. A method for constructing a full life cycle of smart archive management according to claim 1, characterized in that: during the archive storage process, it also includes checking archive information, specifically including the following steps: Obtain the set of associated file storage areas corresponding to the first file inspection keyword corresponding to the file storage area to be checked and the first file retrieval path; Centrally obtain the second file check keyword from the associated file storage area, and analyze the first file parsing sequence associated with the first file check keyword in the first file retrieval path within the preset time and the second file check keyword The second file parsing sequence associated with the corresponding second file retrieval path; Based on the pre-configured file parsing architecture, the file information in the first file parsing sequence and the file information in the second file parsing sequence are respectively parsed to obtain the first file information set and the second file parsing in the first file parsing sequence respectively. a second set of archival information in the sequence; Determine associated file information related to the file writing problem in the file storage area to be checked from the first file information set and the second file information set respectively, and establish a binding relationship between the associated file information and the file storage area to be checked; Send and record the associated file information and the inspection status of the file storage area to be inspected. 10. A smart archive management system that constructs a full life cycle, applied to a smart archive management method that constructs a full life cycle as described in any one of claims 1 to 9, characterized in that: it includes archives that are sequentially communicated and connected. Collection module, file sorting module, file retrieval module, file recording module, file storage module and file destruction module; The archive collection module is used to collect archive materials and create a primary archive; The file sorting module organizes files based on the primary archives and generates a final archives; The archive retrieval module is used to establish retrieval rules and perform archive retrieval and sharing; The archive recording module is used to record the operation history and access history of archives and to mark and trace them; The archive storage module is used to establish archiving requirements, perform archiving and backup, and store the ultimate archive; The file destruction module is used to set file destruction rules and destroy and update them regularly.