CN115098440A - Electronic archive query method, device, storage medium and equipment - Google Patents
Electronic archive query method, device, storage medium and equipment Download PDFInfo
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- CN115098440A CN115098440A CN202210734528.6A CN202210734528A CN115098440A CN 115098440 A CN115098440 A CN 115098440A CN 202210734528 A CN202210734528 A CN 202210734528A CN 115098440 A CN115098440 A CN 115098440A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/113—Details of archiving
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
- G06F16/134—Distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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Abstract
The application discloses an electronic archive query method, an electronic archive query device, a storage medium and electronic archive query equipment, which can be applied to the field of Internet of things, wherein the method comprises the following steps: after receiving query conditions input by a user, acquiring an electronic file of which an index tag contains a keyword shown by the query conditions from a pre-constructed database table, and identifying the electronic file of which the index tag contains the keyword shown by the query conditions as a target electronic file; constructing a file list based on the target electronic file; and displaying the archive list to a user through a preset interface. By utilizing the scheme shown in the application, a user only needs to input the query conditions to obtain the file list, and the user does not need to open the electronic files one by one to check, so that the query efficiency of the electronic files is effectively improved.
Description
Technical Field
The application relates to the field of internet of things, in particular to an electronic archive query method, an electronic archive query device, a storage medium and electronic archive query equipment.
Background
With the increasing of banking business volume year by year, the problem of difficult searching, storage and management of paper file materials is increasingly prominent, and in recent years, various banking businesses gradually develop towards paperless and electronic processing, electronic accounting files (electronic files for short) are gradually increased, and the requirement of online intelligent management of file materials is increasingly urgent.
After the existing electronic files are filed, if a user wants to check one type of electronic files, the user needs to open each electronic file one by one for inquiry, and the inquiry efficiency is low.
Disclosure of Invention
The application provides an electronic archive query method, an electronic archive query device, a storage medium and electronic archive query equipment, and aims to improve the query efficiency of electronic archives.
In order to achieve the above object, the present application provides the following technical solutions:
an electronic archive inquiry method comprises the following steps:
after receiving a query condition input by a user, acquiring an electronic file of which an index tag contains a keyword shown by the query condition from a pre-constructed database table, and identifying the electronic file of which the index tag contains the keyword shown by the query condition as a target electronic file;
constructing a file list based on the target electronic file;
and displaying the file list to the user through a preset interface.
Optionally, the process of constructing the database table includes:
scanning each pre-acquired accounting text data to obtain each image file;
analyzing and processing each image file to obtain each electronic file;
extracting keywords from each electronic file to obtain a keyword set of each electronic file; the set of keywords comprises one or more keywords;
for each electronic file, identifying each keyword as an index tag of the electronic file;
and constructing a database table based on each electronic file and the index tag of each electronic file.
Optionally, after the database table is constructed based on each electronic archive and the index tag of each electronic archive, the method further includes:
setting a time attribute for each electronic file; the time attribute is used to indicate an archival time of the electronic archive.
Optionally, the constructing a database table based on each electronic archive and the index tag of each electronic archive includes:
inputting the index tag of each electronic file into a matching degree identification model to obtain an identification result output by the matching degree identification model; the matching degree recognition model is obtained by taking a plurality of sample electronic files as input, taking the matching degree between the manually pre-marked sample electronic files as a training target and pre-training the training target; the identification result comprises a matching degree set of each electronic file; the matching degree set comprises the matching degrees of the electronic file and other electronic files;
and constructing a database table based on the electronic archives, and the index tags and the matching degree sets of the electronic archives.
Optionally, the constructing a profile list based on the target electronic profile includes:
identifying the electronic file meeting the preset conditions in the database table as an effective electronic file; the preset conditions are as follows: the matching degree of the electronic file and the target electronic file is greater than a preset threshold value;
sequencing the obtained effective electronic files in sequence according to the sequence from high to low of the matching degree of the effective electronic files and the target electronic files to obtain an effective electronic file sequence;
and constructing a file list based on the target electronic file and the valid electronic file sequence.
An electronic archive inquiry device comprising:
the acquisition unit is used for acquiring an electronic file of which the index tag comprises the key word shown by the query condition from a pre-constructed database table after receiving the query condition input by a user, and identifying the electronic file of which the index tag comprises the key word shown by the query condition as a target electronic file;
the building unit is used for building an archive list based on the target electronic archive;
and the display unit is used for displaying the archive list to the user through a preset interface.
Optionally, the obtaining unit is specifically configured to:
scanning each pre-acquired accounting text data to obtain each image file;
analyzing and processing each image file to obtain each electronic file;
extracting keywords from each electronic file to obtain a keyword set of each electronic file; the set of keywords comprises one or more keywords;
for each electronic file, identifying each keyword as an index tag of the electronic file;
and constructing a database table based on each electronic file and the index tag of each electronic file.
Optionally, the obtaining unit is further configured to:
setting a time attribute for each electronic file; the time attribute is used to indicate an archive time of the electronic archive.
A computer-readable storage medium comprising a stored program, wherein the program executes the electronic archive query method.
An electronic archive inquiry apparatus comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing programs, and the processor is used for running the programs, wherein the electronic archive inquiry method is executed when the programs run.
According to the technical scheme, after the query condition input by the user is received, the electronic file with the index tag containing the keyword shown by the query condition is obtained from a pre-constructed database table, and the electronic file with the index tag containing the keyword shown by the query condition is marked as the target electronic file. And constructing a file list based on the target electronic file. And displaying the archive list to a user through a preset interface. By utilizing the scheme, the user can obtain the file list only by inputting the query conditions, and the user does not need to open the electronic files one by one for checking, so that the query efficiency of the electronic files is effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1a is a schematic flowchart illustrating an electronic file query method according to an embodiment of the present disclosure;
FIG. 1b is a schematic flowchart illustrating an electronic file query method according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating another method for querying an electronic file according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram illustrating an architecture of an electronic file query device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an architecture of an electronic archive query device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1a and fig. 1b, a flow chart of an electronic archive query method provided in the embodiment of the present application is schematically illustrated, and the method includes the following steps:
s101: and scanning each accounting text data to obtain an image file of each accounting text data.
S102: and analyzing and processing each image file to obtain each electronic file.
The image file can be analyzed and processed by using an OCR character recognition technology to obtain the electronic file.
Specifically, the implementation process of analyzing and processing the image file by using the OCR character recognition technology to obtain the electronic file comprises the following steps:
1. and carrying out binarization processing on the image file in advance to obtain a binarized image.
2. And carrying out noise elimination processing on the binary image to obtain a first image.
3. And carrying out inclination correction processing on the first image to obtain a second image.
4. And performing layout analysis processing on the second image to obtain a third image.
5. And performing character cutting processing on the third image to obtain a fourth image.
6. And performing character recognition processing on the fourth image to obtain text information.
7. And performing layout recovery processing on the text information to obtain the electronic file.
It should be noted that the above specific implementation process is only for illustration.
S103: and extracting the keywords of each electronic file to obtain a keyword set of each electronic file.
The keyword extraction of the electronic file can be performed by using any one of a Term Frequency-Inverse Document Frequency (TF-IDF) algorithm and a TextRank algorithm to obtain a keyword set of the electronic file.
It should be noted that the keyword set includes one or more keywords.
S104: for each electronic file, identifying each keyword as an index tag of the electronic file.
S105: and inputting the index tags of the electronic files into the matching degree identification model to obtain an identification result output by the matching degree identification model.
The matching degree recognition model is obtained by taking a plurality of sample electronic archives as input, taking the matching degree between the manually pre-marked sample electronic archives as a training target and pre-training.
It should be noted that the recognition result includes a matching degree set of each electronic file, and the matching degree set includes matching degrees of the electronic file and other electronic files.
S106: and constructing a database table based on each electronic file, the index tag and the matching degree set of each electronic file, and setting time attributes for each electronic file.
Wherein the time attribute is used to indicate the archive time of the electronic archive, the so-called archive time may be the time when the electronic archive is stored in the database table.
It should be noted that, setting a time attribute for each electronic file can effectively prevent the electronic file from being tampered by a third party.
S107: after receiving the query condition input by the user, acquiring the electronic file of which the index tag comprises the keyword shown by the query condition from the database table, and identifying the electronic file of which the index tag comprises the keyword shown by the query condition as the target electronic file.
S108: and identifying the electronic file meeting the preset conditions in the database table as an effective electronic file.
Wherein the preset conditions are as follows: the matching degree of the electronic file and the target electronic file is greater than a preset threshold value.
S109: and sequencing the obtained effective electronic files in sequence according to the sequence from high to low of the matching degree of the effective electronic files and the target electronic files to obtain an effective electronic file sequence.
S110: and constructing a file list based on the target electronic file and the effective electronic file sequence.
S111: and displaying the archive list to a user through a preset interface.
In summary, with the scheme shown in this embodiment, the user only needs to input the query condition to obtain the file list, and the user does not need to open the electronic files one by one for examination, thereby effectively improving the query efficiency of the electronic files.
It should be noted that, in the above embodiment, the reference S101 is an alternative implementation manner of the electronic archive query method shown in this application. In addition, S109 mentioned in the above embodiment is also an optional implementation manner of the electronic file query method shown in the present application. For this reason, the flow mentioned in the above embodiment can be summarized as the method shown in fig. 2.
As shown in fig. 2, a schematic flow chart of another electronic archive query method provided in the embodiment of the present application includes the following steps:
s201: after receiving the query condition input by the user, acquiring the electronic file of which the index tag comprises the keyword shown by the query condition from a pre-constructed database table, and identifying the electronic file of which the index tag comprises the keyword shown by the query condition as the target electronic file.
S202: and constructing an archive list based on the target electronic archive.
S203: and displaying the archive list to a user through a preset interface.
In summary, with the solution shown in this embodiment, the user can obtain the file list only by inputting the query conditions, and the user does not need to open the electronic files one by one for checking, thereby effectively improving the query efficiency of the electronic files.
It should be noted that the electronic archive query method provided by the invention can be used in the fields of artificial intelligence, block chaining, distribution, cloud computing, big data, internet of things, mobile internet, network security, chip, virtual reality, augmented reality, holography, quantum computing, quantum communication, quantum measurement, digital twinning, and finance. The foregoing is merely an example, and does not limit the application field of the electronic archive query method provided by the present invention.
The electronic archive inquiry method provided by the invention can be used in the financial field or other fields, for example, can be used in transaction application scenes in the financial field. The other fields are arbitrary fields other than the financial field, for example, the electric power field. The foregoing is only an example, and does not limit the application field of the electronic archive query method provided by the present invention.
Corresponding to the electronic file query method provided by the embodiment of the application, the embodiment of the application also provides an electronic file query device.
As shown in fig. 3, a schematic structural diagram of an electronic file query device according to an embodiment of the present application is provided, which includes:
the acquiring unit 100 is configured to acquire, after receiving a query condition input by a user, an electronic file whose index tag includes a keyword shown in the query condition from a pre-constructed database table, and identify the electronic file whose index tag includes the keyword shown in the query condition as a target electronic file.
Optionally, the obtaining unit 100 is specifically configured to: scanning each pre-acquired accounting text data to obtain each image file; analyzing and processing each image file to obtain each electronic file; extracting key words of each electronic file to obtain a key word set of each electronic file; the keyword set comprises one or more keywords; for each electronic file, identifying each keyword as an index tag of the electronic file; and constructing a database table based on the electronic files and the index tags of the electronic files.
The obtaining unit 100 is further configured to: setting a time attribute for each electronic file; the time attribute is used to indicate an archive time of the electronic archive.
The obtaining unit 100 is specifically configured to: inputting the index tags of the electronic files into a matching degree identification model to obtain an identification result output by the matching degree identification model; the matching degree recognition model is obtained by taking a plurality of sample electronic files as input, taking the matching degree between the manually pre-marked sample electronic files as a training target and pre-training the training target; the identification result comprises a matching degree set of each electronic file; the matching degree set comprises the matching degree of the electronic file and other electronic files; and constructing a database table based on the electronic files, the index tags and the matching degree set of each electronic file.
A construction unit 200 for constructing a file list based on the target electronic file.
Optionally, the constructing unit 200 is specifically configured to: identifying the electronic file meeting the preset conditions in the database table as an effective electronic file; the preset conditions are as follows: the matching degree of the electronic file and the target electronic file is greater than a preset threshold value; sequencing the obtained effective electronic files in sequence according to the sequence from high to low of the matching degree of the effective electronic files and the target electronic files to obtain an effective electronic file sequence; and constructing a file list based on the target electronic file and the effective electronic file sequence.
The presentation unit 300 is configured to present the archive list to a user through a preset interface.
In summary, with the solution shown in this embodiment, the user can obtain the file list only by inputting the query conditions, and the user does not need to open the electronic files one by one for checking, thereby effectively improving the query efficiency of the electronic files.
The application also provides a computer readable storage medium, which comprises a stored program, wherein the program executes the electronic archive query method provided by the application.
The present application further provides an electronic archive inquiry apparatus, as shown in fig. 4, including: a processor 401, a memory 402, and a bus 403. The processor 401 is connected to the memory 402 through the bus 403, the memory 402 is used for storing programs, and the processor 401 is used for executing the programs, wherein when the programs are executed, the method for querying an electronic archive provided by the present application includes the following steps:
after receiving a query condition input by a user, acquiring an electronic file of which an index tag contains a keyword shown by the query condition from a pre-constructed database table, and identifying the electronic file of which the index tag contains the keyword shown by the query condition as a target electronic file;
constructing a file list based on the target electronic file;
and displaying the file list to the user through a preset interface.
Specifically, on the basis of the above embodiment, the process of constructing the database table includes:
scanning each pre-acquired accounting text data to obtain each image file;
analyzing and processing each image file to obtain each electronic file;
extracting keywords from each electronic file to obtain a keyword set of each electronic file; the set of keywords comprises one or more keywords;
for each electronic file, identifying each keyword as an index tag of the electronic file;
and constructing a database table based on the electronic archives and the index tags of the electronic archives.
Specifically, on the basis of the above embodiment, after the database table is constructed based on each of the electronic archives and the index tag of each of the electronic archives, the method further includes:
setting a time attribute for each electronic file; the time attribute is used to indicate an archive time of the electronic archive.
Specifically, on the basis of the above embodiment, the constructing a database table based on each electronic archive and the index tag of each electronic archive includes:
inputting the index tag of each electronic file into a matching degree recognition model to obtain a recognition result output by the matching degree recognition model; the matching degree recognition model is obtained by taking a plurality of sample electronic files as input, taking the matching degree between the manually pre-marked sample electronic files as a training target and pre-training the training target; the identification result comprises a matching degree set of each electronic file; the matching degree set comprises the matching degrees of the electronic file and other electronic files;
and constructing a database table based on the electronic archives, and the index tags and the matching degree sets of the electronic archives.
Specifically, on the basis of the above embodiment, the building an archive list based on the target electronic archive includes:
identifying the electronic file meeting the preset conditions in the database table as an effective electronic file; the preset conditions are as follows: the matching degree of the electronic file and the target electronic file is greater than a preset threshold value;
sequencing the obtained effective electronic files in sequence according to the sequence from high to low of the matching degree of the effective electronic files and the target electronic files to obtain an effective electronic file sequence;
and constructing a file list based on the target electronic file and the valid electronic file sequence.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An electronic file query method, comprising:
after receiving a query condition input by a user, acquiring an electronic file of which an index tag contains a keyword shown by the query condition from a pre-constructed database table, and identifying the electronic file of which the index tag contains the keyword shown by the query condition as a target electronic file;
constructing a file list based on the target electronic file;
and displaying the file list to the user through a preset interface.
2. The method of claim 1, wherein the database table construction process comprises:
scanning each pre-acquired accounting text data to obtain each image file;
analyzing and processing each image file to obtain each electronic file;
extracting keywords from each electronic file to obtain a keyword set of each electronic file; the set of keywords comprises one or more keywords;
for each electronic file, identifying each keyword as an index tag of the electronic file;
and constructing a database table based on the electronic archives and the index tags of the electronic archives.
3. The method of claim 2, wherein after constructing the database table based on the respective electronic archives and the index tags of each electronic archive, further comprising:
setting a time attribute for each electronic file; the time attribute is used to indicate an archival time of the electronic archive.
4. The method of claim 2, wherein constructing a database table based on the respective electronic archives and the index tags of each electronic archive comprises:
inputting the index tag of each electronic file into a matching degree identification model to obtain an identification result output by the matching degree identification model; the matching degree recognition model is obtained by taking a plurality of sample electronic files as input, taking the matching degree between the manually pre-marked sample electronic files as a training target and pre-training the training target; the identification result comprises a matching degree set of each electronic file; the matching degree set comprises the matching degrees of the electronic file and other electronic files;
and constructing a database table based on the electronic archives, and the index tags and the matching degree sets of the electronic archives.
5. The method of claim 4, wherein building a list of archives based on the target electronic archive comprises:
identifying the electronic file meeting the preset conditions in the database table as an effective electronic file; the preset conditions are as follows: the matching degree of the electronic file and the target electronic file is greater than a preset threshold value;
sequencing the obtained effective electronic files in sequence according to the sequence from high to low of the matching degree of the effective electronic files and the target electronic files to obtain an effective electronic file sequence;
and constructing a file list based on the target electronic file and the valid electronic file sequence.
6. An electronic archive inquiry apparatus, comprising:
the acquisition unit is used for acquiring an electronic file of which an index tag contains a keyword shown by a query condition from a pre-constructed database table after receiving the query condition input by a user, and identifying the electronic file of which the index tag contains the keyword shown by the query condition as a target electronic file;
the construction unit is used for constructing a file list based on the target electronic file;
and the display unit is used for displaying the archive list to the user through a preset interface.
7. The apparatus according to claim 6, wherein the obtaining unit is specifically configured to:
scanning each pre-acquired accounting text data to obtain each image file;
analyzing and processing each image file to obtain each electronic file;
extracting keywords from each electronic file to obtain a keyword set of each electronic file; the set of keywords comprises one or more keywords;
for each electronic file, identifying each keyword as an index tag of the electronic file;
and constructing a database table based on each electronic file and the index tag of each electronic file.
8. The apparatus of claim 7, wherein the obtaining unit is further configured to:
setting a time attribute for each electronic file; the time attribute is used to indicate an archival time of the electronic archive.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program executes the electronic archive query method of any of claims 1-5.
10. An electronic archive inquiry apparatus, comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the electronic archive inquiry method of any one of claims 1-5 during the operation.
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| CN202210734528.6A CN115098440A (en) | 2022-06-27 | 2022-06-27 | Electronic archive query method, device, storage medium and equipment |
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| CN202210734528.6A CN115098440A (en) | 2022-06-27 | 2022-06-27 | Electronic archive query method, device, storage medium and equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115757799A (en) * | 2022-12-02 | 2023-03-07 | 松原市邹佳网络科技有限公司 | Data storage method and system based on artificial intelligence and cloud platform |
| CN116450769A (en) * | 2023-06-09 | 2023-07-18 | 北京量子伟业信息技术股份有限公司 | Intelligent archive management method, device, equipment and medium |
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2022
- 2022-06-27 CN CN202210734528.6A patent/CN115098440A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115757799A (en) * | 2022-12-02 | 2023-03-07 | 松原市邹佳网络科技有限公司 | Data storage method and system based on artificial intelligence and cloud platform |
| CN115757799B (en) * | 2022-12-02 | 2023-10-24 | 北京国联视讯信息技术股份有限公司 | Data storage method and system based on artificial intelligence and cloud platform |
| CN116450769A (en) * | 2023-06-09 | 2023-07-18 | 北京量子伟业信息技术股份有限公司 | Intelligent archive management method, device, equipment and medium |
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