A data classification system based on computer technology

Abstract

The present invention discloses a data classification system based on computer technology, which belongs to the field of data classification technology, and includes a data acquisition and preprocessing module, a data arrangement and locking module, a data classification frame and moving module, and a data classification and transmission module, wherein the data acquisition and preprocessing module acquires multi-source data, and classifies the values ​​according to the size of the data and a first preset value, wherein the data less than the first preset value is the first type of data, and the data greater than or equal to the first preset value is the second type of data, and the first type of data is moved to a classification operation database, and the classification key information is extracted according to the content of the second type of data, and the classification key information is moved to the classification operation database; the data arrangement and locking module arranges the first type of data and the classification key information, and locks the arranged first type of data and the classification key information. The invention has the advantages of reducing the data damage rate and improving the efficiency of data classification.

Description

Technical Field

[0001] The present invention belongs to the technical field of data classification, and in particular relates to a data classification system based on computer technology. Background Art

[0002] The data classification system based on computer technology is an efficient and automated data processing tool that uses computer technology to classify, organize and manage large amounts of data. Although the existing data classification system based on computer technology provides an efficient and automated solution, it still has some technical defects in practical applications:

[0003] As data sources continue to increase, the form and content of data are becoming increasingly diverse and complex. This includes multiple types of data such as text, pictures, videos, and voice, as well as data from different fields and topics. A single classification basis and rule often cannot fully meet the classification needs of various data. In the data classification system based on computer technology, although parallel processing can significantly improve the efficiency of data classification, it does face some challenges and problems in practical applications. The following are two problems encountered in parallel data classification:

[0004] First, for larger data, integrating the data into a specific database requires a large amount of data resources and is easily damaged during the transmission process;

[0005] Second, during data preprocessing, since data needs to be directly operated, the data is prone to corruption, which will affect data classification;

[0006] Third, when performing parallel data classification, after classifying a certain data, it is usually necessary to move the data to a preset storage device. For big data, moving data will affect the efficiency of classification.

[0007] Therefore, a data classification system is proposed that can solve the above problems at the same time. Summary of the invention

[0008] In view of the problems existing in the prior art, the present invention provides a data classification system based on computer technology, which has the advantages of reducing data damage rate and improving data classification efficiency, and solves the problems of the prior art.

[0009] The present invention is implemented as follows: a data classification system based on computer technology includes a central processing module, the central processing module is signal-connected to a data acquisition and preprocessing module, a data arrangement and locking module, a data classification frame and movement module, and a data classification and transmission module, wherein:

[0010] Data acquisition and preprocessing module: acquire multi-source data, classify the values ​​according to the size of the data and the first preset value, wherein the data less than the first preset value is the first category of data, and the data greater than or equal to the first preset value is the second category of data, move the first category of data to the classification operation database, extract classification key information according to the content of the second category of data, and move the classification key information to the classification operation database;

[0011] Data arrangement and locking module: arranging the first category data and classification key information according to multiple rows and columns, and locking the arranged first category data and classification key information;

[0012] Data classification box and moving module: a plurality of data classification boxes are established in the classification operation database, and each of the data classification boxes can simultaneously select a plurality of first-category data and / or classification key information, so that the data classification box selects a plurality of first-category data and / or classification key information, and moves in the classification operation database according to a preset track, so that the data classification box can sequentially select all the first-category data and classification key information; wherein, classification rules are set in the data classification boxes, and when the data classification box selects the first-category data and / or classification key information, the first-category data and / or classification key information can be classified according to the classification rules;

[0013] Data classification and transmission module: There is a transmission channel between the data classification box and the classification result database. When the data classification box wraps the first category of data and / or classification key information, the first category of data and / or classification key information are temporarily unlocked, and the first category of data and / or classification key information are classified according to the classification rules. If a certain first category of data meets the classification rules, the first category of data is moved to the corresponding classification result database to complete the classification; if a certain data key information meets the classification rules, the second category of data corresponding to the data key information is moved to the corresponding classification result database. There are multiple classification result databases, and different data are classified into different classification result databases to complete data classification.

[0014] As a preferred embodiment of the present invention, the data acquisition and preprocessing module includes the following units:

[0015] Data source access unit, which checks the data to be classified from multiple sources to ensure the integrity and accuracy of the data;

[0016] A data size classification unit, which classifies data according to a first preset value (such as a data size threshold), marks data smaller than the first preset value as first-category data, and marks data greater than or equal to the first preset value as second-category data;

[0017] The data storage and key information extraction unit directly stores the first type of data into the classification operation database, and extracts the classification key information (such as title, keywords, etc.) from the second type of data, and stores the classification key information into the classification operation database.

[0018] As a preferred embodiment of the present invention, the data arrangement and locking module includes the following units:

[0019] A data integration unit receives the first-category data and classification key information transmitted from the data acquisition and preprocessing module, integrates the first-category data and the classification key information together, and prepares for subsequent arrangement and locking operations;

[0020] The arrangement layout unit arranges the integrated first category data and the classified key information according to a preset multi-row and multi-column format;

[0021] The locking mechanism unit locks the first category data and the classified key information after they are arranged.

[0022] As a preferred embodiment of the present invention, the data classification frame and the mobile module include the following units:

[0023] Data classification frame generation unit: automatically or manually generates multiple data classification frames in the classification operation database according to preset classification requirements and rules;

[0024] Classification box rule setting unit: sets specific classification rules for each data classification box, which define what types of data should be captured and classified by the classification box;

[0025] Data selection unit: activates the data classification box to enable it to select multiple data items. The selection process includes data identification, selection and marking to ensure that the selected data can enter the next step of classification processing;

[0026] Track preset and moving unit: provides an interface or tool for presetting the moving track of the data classification box. When the classification box is activated, it moves in the data set according to the preset track, thereby covering and selecting multiple data items.

[0027] Classification box status monitoring unit: monitors the status of the data classification box in real time, including whether it is in an activated state, whether the movement trajectory is correct, and whether the data is successfully selected and classified. If an exception or error occurs, the unit will trigger the corresponding error handling mechanism to ensure the stability and reliability of the system.

[0028] As a preferred embodiment of the present invention, the data classification and transmission module includes the following units:

[0029] Data unlocking unit: When the data classification box recognizes the target data, it temporarily unlocks the data to ensure that the data can be processed normally in the subsequent classification process;

[0030] Data classification execution unit: after the data classification box is moved and the data is selected, the data is classified and processed according to the classification rules in the classification box, including data identification, matching and classification decision, to determine which data conforms to the rules of the classification box;

[0031] Data transmission unit: once the data is identified as conforming to a certain classification by the classification rule matching unit, the data is transmitted from the current location to the preset classification result database;

[0032] Classification result database interaction unit: receives and stores the data sent by the transmission unit. At the same time, this unit is also responsible for updating and maintaining the database to ensure the security and integrity of the data.

[0033] As a preferred embodiment of the present invention, the data classification frame generation unit signal is connected to a first data classification frame deformation unit: when a first category of data or classification key information is removed, the data classification frame automatically adjusts its size or shape by deformation to ensure that the same amount of data is always maintained in the frame.

[0034] As a preferred embodiment of the present invention, the data classification frame generating unit is signal-connected to a second data classification frame deformation unit: the data classification frame is deformed to adapt to data of different sizes so that the total size of the data framed each time is within a certain range.

[0035] As a preferred embodiment of the present invention, the data classification frame generation unit signal is connected to a data classification frame position setting unit, which is used to set the positions of several data classification frames; when several data classification frames do not overlap, each data classification frame independently classifies the covered data, and each classification frame only applies the classification rules set inside it, and does not affect the classification work of other classification frames; when several data classification frames partially overlap, in the overlapping part, the data is simultaneously affected by the classification rules of two or more classification frames, and when the data in these overlapping areas simultaneously meets the rules of multiple classification frames, the data is allocated to the classification result database corresponding to the classification frame with the highest priority, and if the priorities are the same, the system can prompt the user to manually select or automatically allocate to one of the classification result databases; when several data classifications all overlap: in the completely overlapping area, the data will be simultaneously affected by the classification rules of all overlapping classification frames, and the data will be classified and allocated according to the priority of the classification frame or the user setting.

[0036] As a preferred embodiment of the present invention, the data classification box includes a data deletion component. Since the classification key information is associated with the second classification data, if a certain data key information meets the classification rules, the data classification box deletes the data key information through the data deletion component. The information transmission module detects this action and moves the second category data corresponding to the data key information to a preset classification result database.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The data classification and preprocessing of the present invention reduce the complexity of data transmission and integration, and reduce resource consumption and damage risks. Data arrangement and locking improve the stability of data during preprocessing and classification. The data classification box and mobile module realize targeted classification, and improve classification efficiency and accuracy. Temporary unlocking and classification reduce the risk of data damage. Flexible classification result storage realizes flexible management and storage of data. There is no need to move the second category data from the data source to the classification operation database first, and then move it from the classification operation database to the classification result database. It is only necessary to classify the data key information, and then move the second category data corresponding to the data key information directly from the data source to the classification result database, thereby improving the transmission efficiency and avoiding the damage of the second category data during the transmission process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a framework diagram of a data classification system based on computer technology provided by an embodiment of the present invention;

[0040] Figure 2 is a block diagram of a data acquisition and preprocessing module provided in an embodiment of the present invention;

[0041] Figure 3 is a block diagram of a data arrangement and locking module provided in an embodiment of the present invention;

[0042] Figure 4 is a block diagram of a data classification frame and a mobile module provided by an embodiment of the present invention;

[0043] Figure 5 is a block diagram of a data classification and transmission module provided by an embodiment of the present invention;

[0044] Figure 6 It is a connection block diagram of a data classification frame generation unit provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to further understand the content, features and effects of the present invention, the following embodiments are given as examples and described in detail with reference to the accompanying drawings.

[0046] The structure of the present invention is described in detail below in conjunction with the accompanying drawings.

[0047] See also Figure 1-Figure 6 , a data classification system based on computer technology provided by an embodiment of the present invention includes a central processing module, characterized in that the central processing module is signal-connected to a data acquisition and preprocessing module, a data arrangement and locking module, a data classification frame and moving module, and a data classification and transmission module, wherein:

[0048] Data acquisition and preprocessing module: acquire multi-source data, classify the values ​​according to the size of the data and the first preset value, wherein the data less than the first preset value is the first category of data, and the data greater than or equal to the first preset value is the second category of data, move the first category of data to the classification operation database, extract classification key information according to the content of the second category of data, and move the classification key information to the classification operation database;

[0049] Data arrangement and locking module: arranging the first category data and classification key information according to multiple rows and columns, and locking the arranged first category data and classification key information;

[0050] Data classification box and moving module: a plurality of data classification boxes are established in the classification operation database, and each of the data classification boxes can simultaneously select a plurality of first-category data and / or classification key information, so that the data classification box selects a plurality of first-category data and / or classification key information, and moves in the classification operation database according to a preset track, so that the data classification box can sequentially select all the first-category data and classification key information; wherein, classification rules are set in the data classification boxes, and when the data classification box selects the first-category data and / or classification key information, the first-category data and / or classification key information can be classified according to the classification rules;

[0051] Data classification and transmission module: There is a transmission channel between the data classification box and the classification result database. When the data classification box wraps the first category of data and / or classification key information, the first category of data and / or classification key information are temporarily unlocked, and the first category of data and / or classification key information are classified according to the classification rules. If a certain first category of data meets the classification rules, the first category of data is moved to the corresponding classification result database to complete the classification; if a certain data key information meets the classification rules, the second category of data corresponding to the data key information is moved to the corresponding classification result database. There are multiple classification result databases, and different data are classified into different classification result databases to complete data classification.

[0052] The above settings can solve the following problems:

[0053] 1. Data acquisition and preprocessing module

[0054] Regarding the problem of data integration and transmission: The solution divides the data into two categories (the first category is data less than the preset value, and the second category is data greater than or equal to the preset value) and processes them separately. For the smaller first-category data, it is directly moved to the preset database, which reduces the complexity of data integration and transmission, reduces resource consumption and the risk of corruption. Regarding the problem of data corruption during data preprocessing: For the second-category data, the solution only extracts its classification key information instead of directly operating the entire data. This method reduces the risk of data corruption, and the extracted key information is sufficient to support subsequent classification operations.

[0055] 2. Data Arrangement and Locking Module

[0056] Improve data security: Through the arrangement and locking mechanism of multiple rows and columns, the stability of data during the classification process can be ensured to prevent data from being misoperated or damaged.

[0057] 3. Data classification box and mobile module

[0058] Optimize data movement: This module implements mobile screening of data by establishing a data classification box and moving the data classification box in the classification operation database according to a preset trajectory.

[0059] 4. Data classification and transmission module

[0060] Temporary unlocking and classification: When the data classification box wraps the data, the data is temporarily unlocked and classified. This mechanism ensures that the data is unlocked and transmitted only when needed, further reducing the risk of data corruption.

[0061] Flexible storage of classification results: There are multiple classification result databases, and data can be classified into different databases as needed to achieve flexible data management and storage.

[0062] In summary, the data classification system solves the problems encountered in parallel processing through the following designs: Data classification and preprocessing reduce the complexity of data transmission and integration, reduce resource consumption and damage risk. Data arrangement and locking improve the stability of data during preprocessing and classification. Data classification boxes and mobile modules achieve targeted classification (targeted classification of data framed by data classification boxes), improving classification efficiency and accuracy. Temporary unlocking and classification reduce the risk of data damage.

[0063] Flexible classification result storage enables flexible management and storage of data. It is not necessary to move the second category data from the data source to the classification operation database first, and then move it from the classification operation database to the classification result database. Instead, it is only necessary to classify the key information of the data and then move the second category data corresponding to the key information of the data directly from the data source to the classification result database, thereby improving the transmission efficiency and preventing the second category data from being damaged during the transmission process.

[0064] Specifically, the data acquisition and preprocessing module includes the following units:

[0065] Data source access unit, which checks the data to be classified from multiple sources to ensure the integrity and accuracy of the data;

[0066] A data size classification unit, which classifies data according to a first preset value (such as a data size threshold), marks data smaller than the first preset value as first-category data, and marks data greater than or equal to the first preset value as second-category data;

[0067] The data storage and key information extraction unit directly stores the first type of data into the classification operation database, and extracts the classification key information (such as title, keywords, etc.) from the second type of data, and stores the classification key information into the classification operation database.

[0068] First, the data source access unit retrieves and filters the data to be classified from multiple data sources to ensure the integrity and accuracy of the data. Subsequently, the data size classification unit will classify the data according to the preset data size threshold, mark the data less than the threshold as the first category, and directly store it in the classification operation database for subsequent operations; while the data greater than or equal to the threshold is marked as the second category and enters a more sophisticated processing flow. For the second category of data, the data storage and key information extraction unit will extract key information, such as titles, keywords, etc., and store this information in the classification operation database for subsequent analysis and use.

[0069] The design of this data acquisition and preprocessing module greatly improves the efficiency and accuracy of data processing. Through the screening of the data source access unit, the integrity and accuracy of the data are ensured, providing a reliable basis for subsequent analysis. The cooperation of the data size classification unit and the data storage and key information extraction unit realizes the efficient processing of large amounts of data, especially the processing of the second type of data. By extracting key information instead of complete data, storage space is greatly saved and processing speed is improved. This design enables the module to maintain efficient operation when processing large amounts of data, which has significant advantages for scenarios that require processing multi-source and large amounts of data.

[0070] Specifically, the data arrangement and locking module includes the following units:

[0071] A data integration unit receives the first-category data and classification key information transmitted from the data acquisition and preprocessing module, integrates the first-category data and the classification key information together, and prepares for subsequent arrangement and locking operations;

[0072] The Arrangement Layout unit arranges the integrated first-category data and classified key information according to the preset multi-row and multi-column format. This unit ensures that the data and information have a clear layout both logically and visually, which is convenient for subsequent operation and analysis.

[0073] The locking mechanism unit locks the first category data and the classification key information after they are arranged. This lock is temporary and is intended to prevent accidental modification or movement of the data during the data classification process. The locking mechanism can be in various forms, such as memory locking, permission control, etc.

[0074] Specifically, the data classification frame and mobile module include the following units:

[0075] Data classification frame generation unit: automatically or manually generates multiple data classification frames in the classification operation database according to preset classification requirements and rules;

[0076] Classification box rule setting unit: Set specific classification rules for each data classification box, which define what types of data should be captured and classified by the classification box. The rule setting can be flexible, allowing users to customize according to actual needs.

[0077] Data selection unit: activates the data classification box to enable it to select (or choose) multiple data items. The selection process includes data identification, selection and marking to ensure that the selected data can enter the next step of classification processing;

[0078] Track Preset and Move Unit: Provides an interface or tool for presetting the moving track of the data classification box. When the classification box is activated, it moves in the data set according to the preset track, thereby covering and selecting multiple data items. The track setting can be linear, nonlinear, or even a dynamic track based on a specific algorithm.

[0079] Classification box status monitoring unit: monitors the status of the data classification box in real time, including whether it is in an activated state, whether the movement trajectory is correct, and whether the data is successfully selected and classified. If an exception or error occurs, the unit will trigger the corresponding error handling mechanism to ensure the stability and reliability of the system.

[0080] Specifically, the data classification and transmission module includes the following units:

[0081] Data unlocking unit: When the data classification box recognizes the target data, it temporarily unlocks the data to ensure that the data can be processed normally in the subsequent classification process. This unit ensures that the data is in an editable state before data transmission.

[0082] Data classification execution unit: after the data classification box is moved and the data is selected, the data is classified and processed according to the classification rules in the classification box, including data identification, matching and classification decision, to determine which data conforms to the rules of the classification box;

[0083] Data transmission unit: once the data is identified as conforming to a certain classification by the classification rule matching unit, the data is transmitted from the current location to the preset classification result database;

[0084] Classification result database interaction unit: receives and stores the data sent by the transmission unit. At the same time, this unit is also responsible for updating and maintaining the database to ensure the security and integrity of the data.

[0085] Through the above settings, first, when the data classification box recognizes the target data, the data unlocking unit will temporarily unlock the data and allow them to enter the subsequent classification process. Subsequently, the data classification execution unit will identify, match and classify the data according to the preset classification rules to ensure that the data is accurately classified. Once the data is identified as meeting a certain classification by the classification rule matching unit, the data transmission unit will transfer the data from the current location to the preset classification result database. Finally, the classification result database interaction unit will receive and store the data, and is responsible for updating and maintaining the database to ensure the security and integrity of the data.

[0086] This data classification and transmission module not only optimizes the data processing process and improves the accuracy and efficiency of data classification, but also ensures the editability of data before transmission through the data unlocking unit, increasing the flexibility and availability of data. At the same time, the introduction of the classification result database interaction unit further enhances the security and integrity of the data, providing a solid foundation for the subsequent use and analysis of the data. In addition, the various units in the module work together to ensure the continuity and stability of data classification and transmission, effectively improving the performance of the entire data processing system.

[0087] And also has the following features:

[0088] 1. Dynamic adjustment of classification rules: When the classification rule matching unit finds that a large amount of data does not conform to the existing classification rules, it will cooperate with the data unlocking unit to temporarily lock the relevant data and notify the system administrator to adjust the classification rules. This dynamic rule adjustment function makes the data classification system more flexible and adaptable.

[0089] 2. Transmission efficiency optimization: The data transmission unit cooperates with the classification result database interaction unit to monitor the storage status of the database and the load of the transmission channel in real time. When it is found that a classification result database is close to full load or the transmission channel load is too high, the data transmission unit will automatically select other idle databases or channels for data transmission, thereby optimizing the overall data transmission efficiency.

[0090] 3. Automatic processing of abnormal data: When the monitoring and feedback unit detects abnormal data, it cooperates with the data unlocking unit and the classification rule matching unit to perform special processing on the abnormal data. For example, the abnormal data can be moved to a separate abnormal processing database and the administrator can be notified for manual intervention and processing. This function of automatically processing abnormal data enhances the stability and reliability of the system.

[0091] Furthermore, the data classification frame generation unit signal is connected to the first data classification frame deformation unit: when a certain first-category data or classification key information is removed, the data classification frame automatically adjusts its size or shape by deformation to ensure that the same amount of data is always kept in the frame. This helps to maintain the continuity and stability of the classification process. For example, as the classification proceeds, the classification key information of the first-category data becomes less and less, and the gaps become larger and larger. If the data classification frame is still moved one by one, the classification efficiency will be reduced. With this setting, the data classification frame automatically adjusts its size or shape by deformation to ensure that the same amount of data is always kept in the frame, thereby improving the classification efficiency.

[0092] Furthermore, the data classification frame generating unit is signal-connected to a second data classification frame deformation unit: the data classification frame is deformed to adapt to data of different sizes, so that the total size of the data framed each time is within a certain range.

[0093] For data of different sizes, the deformed data classification box can more flexibly select and classify data, thereby improving the accuracy and efficiency of classification. For example, in this embodiment, the data classification box does not frame a certain amount of data, but frames a number of data whose total size is within a certain range. Because computing resources need to be invested in classification, if the total size of the data framed each time is within a certain range, the stable investment of computing resources can be guaranteed, rather than the uncontrollable computing resources caused by the fluctuation of the amount of data.

[0094] For example, if the range is set to between 20MB and 25MB, and the total size of the 1st to 3rd data is 245MB, the 1st to 3rd data can be framed and classified. After the classification is completed, the data classification frame moves backward. If the total size of the 4th to 8th data is 21MB, these 5 data are framed and classified, and so on. If the total size of the 9th to 12th data is less than 20MB, and the total size of the 9th to 13th data is greater than 25MB, the 9th to 12th and 14th data are selected. If they still do not meet the requirements, they will be postponed. Of course, the missed data needs to be counted in the next classification.

[0095] Furthermore, the data classification box includes a data deletion component. Since the classification key information is associated with the second classification data, if a certain data key information meets the classification rules, the data classification box deletes the data key information through the data deletion component. The information transmission module detects this action and moves the second category data corresponding to the data key information to a preset classification result database.

[0096] Further, the data classification frame generation unit is signal-connected to a data classification frame position setting unit for setting the positions of a number of data classification frames;

[0097] When several data classification boxes do not overlap, each data classification box independently classifies the covered data. Each classification box only applies the classification rules set inside it, and does not affect the classification work of other classification boxes.

[0098] When several data classification boxes partially overlap, the data in the overlapping part is affected by the classification rules of two or more classification boxes at the same time. When the data in these overlapping areas meet the rules of multiple classification boxes at the same time, the data is assigned to the classification result database corresponding to the classification box with the highest priority. If the priorities are the same, the system can prompt the user to manually select or automatically assign to one of the classification result databases;

[0099] When several data classifications all overlap: In the completely overlapping areas, the data will be affected by the classification rules of all overlapping classification boxes at the same time, and the data will be classified and allocated according to the priority of the classification box or user settings.

[0100] Working principle of the present invention:

[0101] 1. Data acquisition and preprocessing module

[0102] Regarding the problem of data integration and transmission: The solution divides the data into two categories (the first category is data less than the preset value, and the second category is data greater than or equal to the preset value) and processes them separately. For the smaller first-category data, it is directly moved to the preset database, which reduces the complexity of data integration and transmission, reduces resource consumption and the risk of corruption. Regarding the problem of data corruption during data preprocessing: For the second-category data, the solution only extracts its classification key information instead of directly operating the entire data. This method reduces the risk of data corruption, and the extracted key information is sufficient to support subsequent classification operations.

[0103] 2. Data Arrangement and Locking Module

[0104] Improve data security: Through the arrangement and locking mechanism of multiple rows and columns, the stability of data during the classification process can be ensured to prevent data from being misoperated or damaged.

[0105] 3. Data classification box and mobile module

[0106] Optimize data movement: This module implements mobile screening of data by establishing a data classification box and moving the data classification box in the classification operation database according to a preset trajectory.

[0107] 4. Data classification and transmission module

[0108] Temporary unlocking and classification: When the data classification box wraps the data, the data is temporarily unlocked and classified. This mechanism ensures that the data is unlocked and transmitted only when needed, further reducing the risk of data corruption.

[0109] Flexible storage of classification results: There are multiple classification result databases, and data can be classified into different databases as needed to achieve flexible data management and storage.

[0110] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0111] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A data classification system based on computer technology, including a central processing module, a data acquisition and preprocessing module, a data arrangement and locking module, a data classification frame and moving module, and a data classification and transmission module, characterized in that: Data acquisition and preprocessing module: acquire multi-source data, classify the values ​​according to the size of the data and the first preset value, wherein the data less than the first preset value is the first category of data, and the data greater than or equal to the first preset value is the second category of data, move the first category of data to the classification operation database, extract classification key information according to the content of the second category of data, and move the classification key information to the classification operation database; Data arrangement and locking module: arranging the first category data and classification key information according to multiple rows and columns, and locking the arranged first category data and classification key information; Data classification box and moving module: a plurality of data classification boxes are established in the classification operation database, and each of the data classification boxes can simultaneously select a plurality of first-category data and / or classification key information, so that the data classification box selects a plurality of first-category data and / or classification key information, and moves in the classification operation database according to a preset track, so that the data classification box can sequentially select all the first-category data and classification key information; wherein, classification rules are set in the data classification boxes, and when the data classification box selects the first-category data and / or classification key information, the first-category data and / or classification key information can be classified according to the classification rules; Data classification and transmission module: There is a transmission channel between the data classification box and the classification result database. When the data classification box wraps the first category of data and / or classification key information, the first category of data and / or classification key information are temporarily unlocked, and the first category of data and / or classification key information are classified according to the classification rules. If a certain first category of data meets the classification rules, the first category of data is moved to the corresponding classification result database to complete the classification; if a certain data key information meets the classification rules, the second category of data corresponding to the data key information is moved to the corresponding classification result database. There are multiple classification result databases, and different data are classified into different classification result databases to complete data classification.

2. A computer-based data classification system as claimed in claim 1, characterized in that: The data acquisition and preprocessing module includes the following units: Data source access unit, which checks the data to be classified from multiple sources to ensure the integrity and accuracy of the data; A data size classification unit, which classifies data according to a first preset value, marks data smaller than the first preset value as first-category data, and marks data greater than or equal to the first preset value as second-category data; The data storage and key information extraction unit directly stores the first category of data into the classification operation database, and extracts the classification key information from the second category of data and stores the classification key information into the classification operation database.

3. A computer-based data classification system as claimed in claim 1, characterized in that: The data arrangement and locking module includes the following units: A data integration unit receives the first-category data and classification key information transmitted from the data acquisition and preprocessing module, integrates the first-category data and the classification key information together, and prepares for subsequent arrangement and locking operations; The arrangement layout unit arranges the integrated first category data and the classified key information according to a preset multi-row and multi-column format; The locking mechanism unit locks the first category data and the classified key information after they are arranged.

4. A computer-based data classification system as claimed in claim 1, characterized in that: The data classification frame and mobile module include the following units: Data classification frame generation unit: automatically or manually generates multiple data classification frames in the classification operation database according to preset classification requirements and rules; Classification box rule setting unit: sets specific classification rules for each data classification box, which define what types of data should be captured and classified by the classification box; Data selection unit: activates the data classification box to enable multiple data items to be selected. The selection process includes data identification, selection and marking to ensure that the selected data can enter the next step of classification processing; Track preset and moving unit: provides an interface or tool for presetting the moving track of the data classification box. When the classification box is activated, it moves in the data set according to the preset track, thereby covering and selecting multiple data items. Classification box status monitoring unit: monitors the status of the data classification box in real time, including whether it is in an activated state, whether the movement trajectory is correct, and whether the data is successfully selected and classified. If an exception or error occurs, the unit will trigger the corresponding error handling mechanism to ensure the stability and reliability of the system.

5. A computer-based data classification system as claimed in claim 1, characterized in that: The data classification and transmission module includes the following units: Data unlocking unit: When the data classification box recognizes the target data, it temporarily unlocks the data to ensure that the data can be processed normally in the subsequent classification process; Data classification execution unit: after the data classification box is moved and the data is selected, the data is classified and processed according to the classification rules in the classification box, including data identification, matching and classification decision, to determine which data conforms to the rules of the classification box; Data transmission unit: once the data is identified as conforming to a certain classification by the classification rule matching unit, the data is transmitted from the current location to the preset classification result database; Classification result database interaction unit: receives and stores the data sent by the transmission unit. At the same time, this unit is also responsible for updating and maintaining the database to ensure the security and integrity of the data.

6. A computer-based data classification system as claimed in claim 4, characterized in that: The data classification frame generating unit signal is connected to the first data classification frame deformation unit: when a certain first category of data or classification key information is removed, the data classification frame automatically adjusts the size or shape through deformation to ensure that the same amount of data is always kept in the frame.

7. A computer-based data classification system as claimed in claim 4, characterized in that: The data classification frame generating unit is signal-connected to a second data classification frame deformation unit: the data classification frame is deformed to adapt to data of different sizes, so that the total size of the data framed each time is within a certain range.

8. A computer-based data classification system as claimed in claim 4, characterized in that: The data classification frame generation unit is signal-connected to a data classification frame position setting unit for setting the positions of a number of data classification frames; When several data classification boxes do not overlap, each data classification box independently classifies the covered data. Each classification box only applies the classification rules set inside it, and does not affect the classification work of other classification boxes. When several data classification boxes partially overlap, the data in the overlapping part is affected by the classification rules of multiple classification boxes at the same time. When the data in these overlapping areas meet the rules of multiple classification boxes at the same time, the data is assigned to the classification result database corresponding to the classification box with the highest priority. If the priorities are the same, the system can prompt the user to manually select or automatically assign to one of the classification result databases; When several data classifications all overlap: In the completely overlapping areas, the data will be affected by the classification rules of all overlapping classification boxes at the same time, and the data will be classified and allocated according to the priority of the classification box or user settings.

9. A computer-based data classification system as claimed in claim 5, characterized in that: The data classification box includes a data deletion component. Since the classification key information is associated with the second classification data, if a certain data key information meets the classification rules, the data classification box deletes the data key information through the data deletion component, and the information transmission module moves the second category data corresponding to the data key information to a preset classification result database.

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