CN116756395A - Electronic archiving method and system for urban construction archives - Google Patents
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Abstract
The application provides an electronic archiving method and system for urban construction archives, and relates to the field of computers. The method comprises the following steps: collecting and sorting original urban construction archive files, wherein the collecting process comprises the steps of examining the integrity and accuracy of the files and identifying any repeated or lost files; converting the document to an electronic format, i.e., digitizing the original urban archive file to create an electronic copy, which is formatted into a standard file format to ensure compatibility across different platforms and devices; classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies; and storing the electronic copy in a cloud-based storage system, and subsequently searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises original urban archive file content corresponding to the electronic copy. Is easily stored and accessed in the system by digital documents.
Description
Technical Field
The application relates to the technical field of computers, in particular to an electronic archiving method and system for urban construction archives.
Background
The urban construction archives are real histories in the urban planning, construction and management processes, are carriers for urban construction development, are valuable information resources and social wealth of cities, and provide important reference functions for urban construction, planning and management. Urban construction archives record various aspects of urban construction including building construction, municipal roads, underground piping networks, urban landscaping, and other infrastructure. The diversification of project types has higher knowledge reserve requirements for management staff or auditors, and causes difficulty in the management of files, so that the links of file construction, archiving, auditing and the like have larger workload and great complexity, and the management difficulty of urban files is improved. In the prior art, a management mode of unified filing, unified auditing and unified archiving is adopted for urban construction files of different project types in large batches, auditing results are easy to make mistakes, more computing resources are occupied, and management efficiency is low.
Disclosure of Invention
The present application aims to provide an electronic archiving method for urban construction archives, which is more efficient and space-saving, because digital documents can be easily stored and accessed on any device capable of accessing the internet, and can be safely stored and referred to on the intranet.
It is another object of the present application to provide an electronic archiving system for urban files that is capable of running an electronic archiving method for urban files.
Embodiments of the present application are implemented as follows:
in a first aspect, an embodiment of the present application provides an electronic archiving method for urban construction archives, including collecting and sorting original urban construction archives, the collecting process including examining the integrity and accuracy of the files, and identifying any duplicate or lost files; converting the document to an electronic format, i.e., digitizing the original urban archive file to create an electronic copy, which is formatted into a standard file format to ensure compatibility across different platforms and devices; classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies; and storing the electronic copy in a cloud-based storage system, and subsequently searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises original urban archive file content corresponding to the electronic copy.
In some embodiments of the present application, the collecting and sorting the original urban construction archive file includes examining the integrity and accuracy of the file, and identifying any duplicate or lost file includes: the original urban construction archive file information is acquired through an OCR technology, and then the documents are organized into logical groups according to the types and the contents of the original urban construction archive file to be classified and distinguished.
In some embodiments of the application, converting the document into an electronic format, i.e., digitizing the original urban archive file to create an electronic copy, the electronic copy formatted into a standard file format to ensure compatibility across different platforms and devices, includes: the scanned original urban archive file is converted into an editable electronic copy in an electronic format through an OCR technology, then the electronic copy is classified by using an automatic document classification algorithm, and the electronic copy is automatically distributed into different classes according to types and contents.
In some embodiments of the present application, classifying and indexing the electronic copies described above, i.e., classifying and indexing the electronic copies according to categories and subcategories, by assigning data tags to the electronic copies includes: keywords, tags, topics, and content information of the electronic copy are categorized by machine learning or natural language processing techniques.
In some embodiments of the application, the foregoing further comprises: the process of classifying electronic copies by content and usage paths includes classifying by type and project by manually entering data, classifying by using predefined standard classification systems, machine learning algorithms.
In some embodiments of the present application, the storing the electronic copy in the cloud-based storage system, and then searching, by the intelligent search engine, according to the keyword or the search parameter, where the search content includes the original urban archive content corresponding to the electronic copy, includes: rights and access control mechanisms are established to ensure the security and integrity of the document, including establishing authorization, encryption, audit, and backup mechanisms. The authorization mechanism ensures that only authorized users can access and operate the document, the encryption mechanism protects the security of the document in the transmission and storage processes, the audit mechanism records the access and operation records of the document so as to track and search the history records of the document, and the backup mechanism ensures the reliability of the document in system failure or disaster recovery.
In some embodiments of the application, the foregoing further comprises: and searching related documents from the index according to the query keywords by a search engine, and providing title information, date information, keyword information and category information of the documents by metadata.
In a second aspect, an embodiment of the present application provides an electronic archiving system for urban construction archives, including a document collection module for collecting and sorting original urban construction archives, the collection process including examining the integrity and accuracy of the files, and identifying any duplicate or lost files;
the conversion module is used for converting the document into an electronic format, namely, digitizing the original urban-built archive file to create an electronic copy, and formatting the electronic copy into a standard file format to ensure compatibility across different platforms and devices;
the classification index module is used for classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies;
and the storage search module is used for storing the electronic copy in the cloud-based storage system, and searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises the original urban archive file content corresponding to the electronic copy.
In a third aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as any one of the methods for electronically archiving of urban files.
Compared with the prior art, the embodiment of the application has at least the following advantages or beneficial effects:
through classification and organization of documents, effective management and quick search of city construction files can be realized. By establishing corresponding metadata and indexes, required documents can be rapidly positioned and accessed, and the tedious searching process of the traditional paper files is avoided. Through the mechanism of electronic filing and document storage, the long-term storage and backup of the documents can be realized, and the problem that paper files are easy to damage and lose is avoided. Meanwhile, the authority control, encryption and audit mechanisms of the document ensure the safety and the integrity of the document and avoid the risks of file information leakage and falsification. Through the retrieval and the use of the documents, the utility value and the efficiency of the city construction files can be improved. By adopting the technologies of a search engine, metadata and the like, the required documents can be quickly and accurately searched, and the file utilization efficiency is improved. Meanwhile, by adopting a document sharing and cooperation mode, information exchange and sharing between different departments and individuals can be promoted, and the problem that the traditional paper file is difficult to cooperate and share is avoided. In conclusion, the electronic archiving of the city construction files can be realized, the file management efficiency and accuracy are improved, the utilization and sharing of the city construction files are promoted, and reliable information support is provided for city construction and management
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of steps of an electronic archiving method for urban construction archives according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an electronic archiving system for urban archives according to an embodiment of the present application;
fig. 3 is an electronic device provided in an embodiment of the present application.
Icon: 101-memory; 102-a processor; 103-communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
It should be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The various embodiments and features of the embodiments described below may be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram of steps of an electronic archiving method for urban construction files according to an embodiment of the present application, which is as follows:
in step S100, the original urban construction archive file is collected and tidied, and the collection process comprises checking the integrity and accuracy of the file and identifying any repeated or lost file.
In some embodiments, the original urban archive information is collected by OCR technology, and documents are then organized into logical groups for categorization and differentiation according to the type and content of the original urban archive.
In some embodiments, for various types of documents involved in urban construction projects, such as project design drawings, bidding documents, contracts, reports, etc., may be categorized according to the type of document. For each type of document, a corresponding folder may be created, organizing the same types of documents together. Second, for the same class of documents, further organization and classification may be performed based on the content of the document. For example, for project design drawings, the drawings may be further categorized and organized according to the locations and functions to which the drawings relate. For bidding documents, the documents may be organized according to different stages of bidding bulletins, bidding documents, bid evaluation documents, and the like. Then, in the process of classifying and organizing the documents, the operations of copying, moving, renaming, etc. of the documents can be automatically processed by using a file management tool of a computer. For example, batch scripts and command line tools may be used to automatically copy or move documents into corresponding folders according to certain rules, and to automatically name and tag the documents for subsequent retrieval and use. Finally, in classifying and organizing documents, attention is paid to version management and change records of the documents. Document version control tools, such as Git and SVN, can be employed to manage and track the version of a document to ensure traceability and continuous updating of the document. Through the automatic processing of the computer, various documents related in the urban construction project can be classified and organized, and the efficiency and accuracy of file management are improved. Meanwhile, the version management and the change record of the document are noted, so that the traceability and the continuous updating of the document can be ensured.
Step S110, converting the document into an electronic format, i.e. digitizing the original urban-built archive file to create an electronic copy, which is formatted into a standard file format to ensure compatibility across different platforms and devices.
In some embodiments, the scanned original urban-built archive file is converted into an editable electronic copy in electronic format by OCR technology, and then the electronic copy is classified using an automatic document classification algorithm, and the electronic copy is automatically assigned into different classes by type and content.
In some embodiments, a paper version of the design drawing for an urban construction project requires scanning. Professional scanning equipment can be used for scanning the drawing with high precision so as to ensure the quality and definition of scanned images. Meanwhile, a batch scanning mode can be adopted to scan a plurality of drawings at one time, so that the scanning efficiency is improved. After the drawing is scanned, OCR character recognition is required. OCR software can be used for identifying characters in the drawing, and the identification result is saved as editable text. When OCR recognition is performed, the recognized fonts and font sizes need to be set so as to ensure the accuracy and consistency of recognition results. The OCR recognition result is then correlated with the drawing scan image, which may be used by a database or document management system, for subsequent retrieval and use. In making the association, attention is paid to the format and readability of the recognition results for subsequent text processing and data analysis. Finally, in the process of OCR recognition of the drawing, confidentiality and copyright need to be paid attention to. Aiming at some drawings related to secret or copyright protection, security measures are required to be adopted for processing and storing so as to ensure the safety and legality of the drawings. Through the automatic processing of OCR technology, can scan and discern city construction project design drawing, improve archives management's efficiency and accuracy.
In step S120, the electronic copies are classified and indexed, i.e., the electronic copies are classified and indexed according to the category and the sub-category, and the electronic copies are assigned with the data labels for classification and indexing.
In some implementations, keywords, tags, topics, and content information of the electronic copy are categorized by machine learning or natural language processing techniques. The process of classifying electronic copies by content and usage paths includes classifying by type and project by manually entering data, classifying by using predefined standard classification systems, machine learning algorithms.
In some embodiments, electronic documents of a design are planned for urban construction projects, requiring automatic classification. The content of the document may be analyzed and classified using a text classification algorithm based on machine learning or deep learning. Taking city planning design as an example, documents can be classified into several categories such as city overall planning, regional planning, city design, etc. In text classification, it is necessary to prepare a sufficient number of text samples and train and optimize algorithms to improve classification accuracy and generalization ability. For documents that have already been classified, a labeling process is required. Keywords and phrases in the document may be identified and extracted using natural language processing techniques to generate tags for the document. Taking city overall planning as an example, keywords such as "city overall planning", "city function layout", "road traffic planning" and the like in the document can be used as labels of the document. When labeling, attention is paid to selecting proper keywords and phrases, and deep analysis and abstraction are performed on the document to ensure the accuracy and coverage rate of the label. And then storing and managing the classified and labeled documents. The documents and corresponding classification, tag information may be associated and stored using a document management system or database. In storing and managing, attention is paid to version control and rights management of documents to ensure security and accessibility of documents. In the process of classification and labelling, there is a constant need for optimisation and improvement. The algorithm and the model can be adjusted and improved according to the actual application scene and user feedback so as to improve the classification accuracy and the labeling effect. Through the automatic processing of text classification and labeling technology, the urban construction project planning design scheme can be automatically classified and labeled, and the efficiency and the accuracy of file management are improved. Meanwhile, continuous optimization and improvement are required to adapt to different application scenes and requirements.
Step S130, the electronic copy is stored in the cloud-based storage system, and then the electronic copy is searched by an intelligent search engine according to the keywords or search parameters, wherein the search content comprises the original urban archive file content corresponding to the electronic copy.
In some embodiments, rights and access control mechanisms are established to ensure the security and integrity of documents, including establishing authorization, encryption, audit, and backup mechanisms. The authorization mechanism ensures that only authorized users can access and operate the document, the encryption mechanism protects the security of the document in the transmission and storage processes, the audit mechanism records the access and operation records of the document so as to track and search the history records of the document, and the backup mechanism ensures the reliability of the document in system failure or disaster recovery. And searching related documents from the index according to the query keywords by a search engine, and providing title information, date information, keyword information and category information of the documents by metadata.
In some implementations, when full text searching of documents of a municipal construction project planning design, the documents may be indexed using a full text search engine (e.g., elasticsearch, solr, etc.). And establishing an inverted index table through the index to accelerate the retrieval speed. For a newly uploaded document, it is necessary to index it and store the index result in association with the document. When full text retrieval is performed, a user can input keywords for retrieval, and retrieval results are ranked according to relevance. When the keyword is searched, the keyword can be preset according to the requirement of the user, and the keyword label is carried out on the document. For example, documents of urban planning designs may be labeled as keywords such as "urban overall planning", "regional planning", "urban design", and the like. The user can search according to the set keywords, and the search results are ranked according to the relevance. For documents which have been subjected to full text retrieval and keyword retrieval, the retrieval can be performed through an interface-friendly retrieval interface. The search results will be ranked and filtered according to relevance and other set conditions. For example, the search results may be arranged to be ranked and filtered according to time, document type, document size, etc. to meet different user requirements. In the course of searching, optimization and improvement are required continuously. The search algorithm and the interface can be adjusted and improved according to the actual application scene and user feedback so as to improve the search efficiency and accuracy. Through the application of full text retrieval and keyword retrieval technology, documents of urban construction project planning design schemes can be rapidly retrieved and positioned, and file management efficiency and accuracy are improved. Meanwhile, continuous optimization and improvement are required to adapt to different application scenes and requirements.
Example 2
Referring to fig. 2, fig. 2 is a schematic diagram of an electronic archiving system for urban files according to an embodiment of the present application, which is as follows:
the file collection module is used for collecting and sorting original urban construction archive files, and the collection process comprises the steps of checking the integrity and accuracy of the files and identifying any repeated or lost files;
the conversion module is used for converting the document into an electronic format, namely, digitizing the original urban-built archive file to create an electronic copy, and formatting the electronic copy into a standard file format to ensure compatibility across different platforms and devices;
the classification index module is used for classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies;
and the storage search module is used for storing the electronic copy in the cloud-based storage system, and searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises the original urban archive file content corresponding to the electronic copy.
As shown in fig. 3, an embodiment of the present application provides an electronic device including a memory 101 for storing one or more programs; a processor 102. The method of any of the first aspects described above is implemented when one or more programs are executed by the processor 102.
And a communication interface 103, where the memory 101, the processor 102 and the communication interface 103 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules that are stored within the memory 101 for execution by the processor 102 to perform various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other manners. The above-described method and system embodiments are merely illustrative, for example, flow charts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
In another aspect, an embodiment of the application provides a computer readable storage medium having stored thereon a computer program which, when executed by the processor 102, implements a method as in any of the first aspects described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In summary, according to the electronic archiving method and system for urban construction files provided by the embodiment of the application, the effective management and quick searching of the urban construction files can be realized through the classification and organization of the documents. By establishing corresponding metadata and indexes, required documents can be rapidly positioned and accessed, and the tedious searching process of the traditional paper files is avoided. Through the mechanism of electronic filing and document storage, the long-term storage and backup of the documents can be realized, and the problem that paper files are easy to damage and lose is avoided. Meanwhile, the authority control, encryption and audit mechanisms of the document ensure the safety and the integrity of the document and avoid the risks of file information leakage and falsification. Through the retrieval and the use of the documents, the utility value and the efficiency of the city construction files can be improved. By adopting the technologies of a search engine, metadata and the like, the required documents can be quickly and accurately searched, and the file utilization efficiency is improved. Meanwhile, by adopting a document sharing and cooperation mode, information exchange and sharing between different departments and individuals can be promoted, and the problem that the traditional paper file is difficult to cooperate and share is avoided. In conclusion, the electronic archiving of the city construction files can be realized, the file management efficiency and accuracy are improved, the utilization and sharing of the city construction files are promoted, and reliable information support is provided for city construction and management
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. An electronic archiving method for urban construction archives, comprising:
collecting and sorting original urban construction archive files, wherein the collecting process comprises the steps of examining the integrity and accuracy of the files and identifying any repeated or lost files;
converting the document to an electronic format, i.e., digitizing the original urban archive file to create an electronic copy, which is formatted into a standard file format to ensure compatibility across different platforms and devices;
classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies;
and storing the electronic copy in a cloud-based storage system, and subsequently searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises original urban archive file content corresponding to the electronic copy.
2. An electronic archiving method for urban construction archives according to claim 1, wherein the collecting and sorting the original urban construction archives, the collecting includes examining the integrity and accuracy of the files, and identifying any duplicate or lost files includes:
the original urban construction archive file information is acquired through an OCR technology, and then the documents are organized into logical groups according to the types and the contents of the original urban construction archive file to be classified and distinguished.
3. An electronic archiving method for a civil archive as in claim 1, wherein converting the document to an electronic format, i.e., digitizing the original civil archive file to create an electronic copy, the electronic copy formatted in a standard file format to ensure compatibility across different platforms and devices, comprises:
the scanned original urban archive file is converted into an editable electronic copy in an electronic format through an OCR technology, then the electronic copy is classified by using an automatic document classification algorithm, and the electronic copy is automatically distributed into different classes according to types and contents.
4. An electronic archiving method for urban archives according to claim 1, wherein said classifying and indexing the electronic copies, i.e., the electronic copies are classified and indexed according to categories and subcategories, by assigning data tags to the electronic copies comprises:
keywords, tags, topics, and content information of the electronic copy are categorized by machine learning or natural language processing techniques.
5. An electronic archiving method for a urban construction archive as defined in claim 4, further comprising:
the process of classifying electronic copies by content and usage paths includes classifying by type and project by manually entering data, classifying by using predefined standard classification systems, machine learning algorithms.
6. The electronic archiving method for urban construction archives according to claim 1, wherein the storing the electronic copy in the cloud-based storage system, and subsequently retrieving, by the intelligent search engine, according to the keyword or the search parameter, the retrieved content including the original urban construction archives content corresponding to the electronic copy includes:
establishing rights and access control mechanisms to ensure security and integrity of the document, including establishing an authorization mechanism that ensures that only authorized users can access and operate the document, an encryption mechanism that protects the security of the document during transmission and storage, an audit mechanism that records access and operation records of the document to track and find history records of the document, and a backup mechanism that ensures reliability of the document during system failure or disaster recovery.
7. An electronic archiving method for a urban construction archive as defined in claim 6, further comprising:
and searching related documents from the index according to the query keywords by a search engine, and providing title information, date information, keyword information and category information of the documents by metadata.
8. An electronic archiving system for urban construction archives, comprising:
the file collection module is used for collecting and sorting original urban construction archive files, and the collection process comprises the steps of checking the integrity and accuracy of the files and identifying any repeated or lost files;
the conversion module is used for converting the document into an electronic format, namely, digitizing the original urban-built archive file to create an electronic copy, and formatting the electronic copy into a standard file format to ensure compatibility across different platforms and devices;
the classification index module is used for classifying and indexing the electronic copies, namely classifying and indexing the electronic copies according to the categories and the sub-categories, and classifying and indexing the electronic copies by distributing data labels to the electronic copies;
and the storage search module is used for storing the electronic copy in the cloud-based storage system, and searching through an intelligent search engine according to the keywords or search parameters, wherein the search content comprises the original urban archive file content corresponding to the electronic copy.
9. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310538661.9A CN116756395A (en) | 2023-05-12 | 2023-05-12 | Electronic archiving method and system for urban construction archives |
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| CN202310538661.9A CN116756395A (en) | 2023-05-12 | 2023-05-12 | Electronic archiving method and system for urban construction archives |
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| CN116756395A true CN116756395A (en) | 2023-09-15 |
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| CN202310538661.9A Withdrawn CN116756395A (en) | 2023-05-12 | 2023-05-12 | Electronic archiving method and system for urban construction archives |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117112872A (en) * | 2023-10-20 | 2023-11-24 | 浪潮软件股份有限公司 | Government affair text archiving method and system based on semi-supervised learning |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117112872A (en) * | 2023-10-20 | 2023-11-24 | 浪潮软件股份有限公司 | Government affair text archiving method and system based on semi-supervised learning |
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