Standardized processing system for removing duplicate errors of data documents

Abstract

The invention discloses a data document duplicate error removal standardization processing system, which relates to the technical field of data processing, and adopts the technical scheme that the data document duplicate error removal standardization processing system comprises a processing platform module, and the processing platform module comprises a data input module, a duplicate data detection and removal module, an error detection and repair module, a data standardization module and a result output module; the output end of the data input module is in data connection with the input end of the duplicated data detection and removal module, the output end of the duplicated data detection and removal module is in data connection with the input end of the error detection and repair module, and the output end of the error detection and repair module is in data connection with the input end of the data standardization module. The output end of the data standardization module is in data connection with the input end of a result output module, a log report module is arranged at the connecting end of the result output module, and the result output module is in data connection with the log report module.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a system for removing duplicate errors and standardizing data documents. Background Art

[0002] In today's information age, data has become the core driving force for social progress and enterprise development. All aspects such as enterprise operation, market analysis, and strategic decision-making highly rely on the accuracy and timeliness of data. However, with the explosive growth of data volume and the diversification of data sources, data faces unprecedented challenges in the processes of collection, storage, processing, and analysis.

[0003] Existing data often has problems such as duplication, errors, inconsistency, and missing in the processes of collection, storage, and transmission, which seriously affect the reliability and application value of data. Summary of the Invention

[0004] Therefore, the present invention provides a system for removing duplicate errors and standardizing data documents to solve the problems that data often has duplication, errors, inconsistency, and missing in the processes of collection, storage, and transmission, which affect the reliability and application value of data.

[0005] To achieve the above object, the present invention provides the following technical solution: A system for removing duplicate errors and standardizing data documents includes a processing platform module. The processing platform module includes a data input module, a duplicate data detection and removal module, an error detection and repair module, a data standardization module, and a result output module. The output end of the data input module is data-connected to the input end of the duplicate data detection and removal module. The output end of the duplicate data detection and removal module is data-connected to the input end of the error detection and repair module. The output end of the error detection and repair module is data-connected to the input end of the data standardization module. The output end of the data standardization module is data-connected to the input end of the result output module. A log report module is provided at the connection end of the result output module, and the result output module is data-connected to the log report module.

[0006] Preferably, the data standardization module includes a data cleaning module, a data formatting module, a data normalization module, a data encoding module, a data annotation module, a data integration module, a data verification module, a data storage module, and a data documentation module. The data standardization module is respectively data-connected to the data cleaning module, the data formatting module, the data normalization module, the data encoding module, the data annotation module, the data integration module, the data verification module, the data storage module, and the data documentation module.

[0007] Preferably, the duplicate data detection and removal module includes a data detection module, a data deduplication module, and a data access module, and the duplicate data detection and removal module is respectively connected to the data detection module, the data deduplication module, and the data access module.

[0008] Preferably, the error detection and repair module includes an error type definition module, a verification calculation module, an outlier identification module, an automatic repair module, an error record and report module, and a data recovery module, and the error detection and repair module is respectively connected to the error type definition module, the verification calculation module, the outlier identification module, the automatic repair module, the error record and report module, and the data recovery module.

[0009] Preferably, the processing platform module includes a box body. Inside the box body, there are two slide rail frames. On both inner side walls of the processing platform module, a plurality of rotating rods are connected through bearings. A plurality of moving wheels are fixedly sleeved outside the rotating rods, and the moving wheels are in contact with the slide rail frames. On the tops of the two slide rail frames, a support plate is fixedly provided. On one side of the support plate, a baffle is fixedly provided. On one side of the baffle, a first handle is provided. On the top of the support plate, a housing is fixedly provided. On the top of the housing, a server chassis is provided. On the bottom of the support plate, two fixing rods are fixedly provided. On the bottoms of the two fixing rods, second moving wheels are fixedly provided. On the top of the support plate, a plurality of disk assemblies are provided;

[0010] The disk assembly includes a connection socket which is fixedly provided on the top of the support plate. A disk body is plugged on the top of the connection socket. On both sides of the disk body, sliding grooves are opened. A sleeve plate is sleeved outside the disk body. On both sides of the sleeve plate, limit bolts are connected through threads. The limit bolts extend into the sliding grooves. On both sides of the sleeve plate, side plates are fixedly provided. On one side of one of the side plates, a telescopic rod is fixedly provided, and the telescopic rod is fixedly connected to the support plate. On one side of the other side plate, a screw rod is connected through threads, and one end of the screw rod is connected to the support plate through a bearing.

[0011] Preferably, a storage box is provided on one side of the box body, and a second handle is provided on one side of the storage box.

[0012] Preferably, a plurality of heat dissipation holes are opened on both sides of the box body.

[0013] Preferably, first moving wheels are fixedly provided at the four corners of the bottom of the box body.

[0014] Preferably, two rotating plates are connected to one side of the baffle through bearings, and two clamping plates are fixedly provided on one side of the box body, and the clamping plates are buckled with the rotating plates.

[0015] Preferably, a touch screen is installed on one side of the box body.

[0016] The embodiments of the present invention have the following advantages:

[0017] 1. Through an integrated system architecture, the full - process automated processing of data from input to output is achieved, significantly improving the efficiency of data processing. Whether it is the detection and removal of duplicate data or the detection and repair of error data, it can be completed in a short time, greatly saving labor and time costs. A complete data standardization module is built - in, including multiple sub - modules such as data cleaning, formatting, normalization, encoding, and annotation, which can fully meet the requirements of data standardization. Through the combined action of these modules, the original data can be converted into a highly unified, standardized, and easy - to - analyze form, providing a solid foundation for subsequent data analysis and decision - making;

[0018] 2. It has high flexibility and scalability. Users can easily add or delete function modules and adjust the processing flow according to actual needs to adapt to data processing requirements in different scenarios. At the same time, the system also supports multiple data sources and output formats, meeting diverse data processing needs. A data recovery module and a log report module are built - in. The data recovery module can start the recovery process in a timely manner when the data is damaged to ensure data integrity and security. At the same time, the log report module can also record the key steps and results in the data processing process in detail, providing important reference for data administrators and decision - makers.

[0019] 3. The touch - screen is used as the human - machine interaction interface, which is simple and intuitive to operate. By rotating the limit bolt, the limit bolt is inserted into the inside of the chute, and then rotating the screw rod, the screw rod drives the side plate to move downward. The side plate drives the sleeve plate to move downward, and the sleeve plate drives the limit bolt to move downward, so that the limit bolt presses and fixes the chute, facilitating the installation of the disk body. Multiple heat dissipation holes opened on both sides of the box body provide a good heat dissipation environment for the internal disk components and the server chassis, helping to extend the service life of the device and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary. For those of ordinary skill in the art, without creative efforts, other implementation drawings can also be obtained according to the provided drawings.

[0021] The structures, ratios, sizes, etc. shown in this specification are only used to cooperate with the content disclosed in the specification for those who are familiar with this technology to understand and read, and are not used to limit the limited conditions under which the present invention can be implemented. Therefore, they do not have technical essential significance. Any modification of the structure, change of the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope that the technical content disclosed by the present invention can cover.

[0022] Figure 1 Structure diagram of the processing platform module system provided by the present invention;

[0023] Figure 2 Structure diagram of the data standardization module system provided by the present invention;

[0024] Figure 3 Structure diagram of the duplicate data detection and removal module system provided by the present invention;

[0025] Figure 4 Structure diagram of the error detection and repair module system provided by the present invention;

[0026] Figure 5 Front view of the box body provided by the present invention;

[0027] Figure 6 Rear view of the box body provided by the present invention;

[0028] Figure 7 Cross-sectional view of the box body provided by the present invention;

[0029] Figure 8 Schematic diagram of the internal structure of the box body provided by the present invention;

[0030] Figure 9 Three-dimensional view of the disk assembly provided by the present invention;

[0031] Figure 10 Exploded view of the parts of the disk assembly provided by the present invention.

[0032] In the figure: 1. Processing platform module; 2. Data input module; 3. Duplicate data detection and removal module; 4. Error detection and repair module; 5. Data standardization module; 6. Result output module; 7. Log report module; 8. Data cleaning module; 9. Data formatting module; 10. Data normalization module; 11. Data encoding module; 12. Data annotation module; 13. Data integration module; 14. Data verification module; 15. Data storage module; 16. Data documentation module; 17. Data detection module; 18. Data deduplication module; 19. Data access module; 20. Error type definition module; 21. Verification calculation module; 22. Outlier identification module; 23. Automatic repair module; 24. Error record and report module; 25. Data recovery module; 26. Box body; 27. Storage box; 28. First moving wheel; 29. Heat dissipation hole; 30. Second moving wheel; 31. Baffle; 32. Clamping plate; 33. Rotating plate; 34. Touch screen; 35. Fixed rod; 36. Rotating rod; 37. Moving wheel; 38. Slide rail frame; 39. Support plate; 40. Sheath; 41. Server chassis; 42. Connection socket; 43. Disk body; 44. Sheathing plate; 45. Limit bolt; 46. Chute; 47. Side plate; 48. Telescopic rod; 49. Screw. Detailed implementation manners

[0033] The following specific embodiments illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] Referring to the attached Figure 1 - attached Figure 10 , a data document duplicate error standardization processing system provided by the present invention includes a processing platform module 1. The processing platform module 1 includes a data input module 2, a duplicate data detection and removal module 3, an error detection and repair module 4, a data standardization module 5, and a result output module 6. The output end of the data input module 2 is data-connected to the input end of the duplicate data detection and removal module 3. The output end of the duplicate data detection and removal module 3 is data-connected to the input end of the error detection and repair module 4. The output end of the error detection and repair module 4 is data-connected to the input end of the data standardization module 5. The output end of the data standardization module 5 is data-connected to the input end of the result output module 6. A log report module 7 is provided at the connection end of the result output module 6, and the result output module 6 is data-connected to the log report module 7;

[0035] In this implementation, the data input module 2 supports importing data documents from various data sources. The duplicate data detection and removal module 3 identifies duplicate items in the data and provides functions to delete duplicates with one click or retain unique items. The error detection and repair module 4 defines data verification rules, uses these rules to detect data errors, and attempts to automatically repair the errors. The data normalization module 5 converts the data into a unified format. The result output module 6 exports the processed data document to a specified format and provides data visualization. The log report module 7 records the key steps and results during the data processing and generates a processing report, including error details and processing results.

[0036] Among them, to achieve the purpose of data normalization, the device is implemented using the following technical solutions: The data normalization module 5 includes a data cleaning module 8, a data formatting module 9, a data normalization module 10, a data encoding module 11, a data annotation module 12, a data integration module 13, a data verification module 14, a data storage module 15, and a data documentation module 16. The data normalization module 5 is respectively data-connected to the data cleaning module 8, the data formatting module 9, the data normalization module 10, the data encoding module 11, the data annotation module 12, the data integration module 13, the data verification module 14, the data storage module 15, and the data documentation module 16. The data cleaning module 8 cleans the original data, removing duplicate data, missing data, and error data. The data formatting module 9 unifies the format of the data, including date format, numerical format, and text format. The data normalization module 10 normalizes the data to make it have similar distribution characteristics within a certain range, using methods such as maximum-minimum normalization and standard deviation normalization for normalization. The data encoding module 11 encodes the data, converting unstructured data into structured data, performing word segmentation, part-of-speech tagging, etc. on text data, and performing feature extraction, etc. on image data. The data annotation module 12 annotates the data, adding labels or marks to the data for subsequent data analysis and applications, performing sentiment annotation on text data and object recognition annotation on image data. The data integration module 13 integrates the data from multiple data sources to make it have a consistent data format and data structure. The data verification module 14 verifies the processed data to ensure that the data meets specific data standard requirements. The data storage module 15 stores the processed data in a database or file for subsequent data management and applications. The data documentation module 16 documents the processed data, recording information such as the data source, processing method, and data structure for subsequent data sharing and communication.

[0037] Among them, in order to achieve the purpose of duplicate data detection and removal, the present device is implemented by the following technical solutions: The duplicate data detection and removal module 3 includes a data detection module 17, a data deduplication module 18, and a data access module 19. The duplicate data detection and removal module 3 is respectively connected to the data detection module 17, the data deduplication module 18, and the data access module 19. The data detection module 17 detects duplicate items in the data through technologies such as comparison and hashing. The data deduplication module 18 removes duplicate data and retains unique items based on algorithm-based automatic deduplication, provides interfaces for manual review and deduplication, and provides a merging function for partially duplicate data that contains different information, retaining the most relevant data words. The data access module 19 provides an interface for external access to the deduplicated data, supports multiple standard protocols, and facilitates data query and use;

[0038] Among them, for the purpose of implementing error detection and repair, the present device is implemented by the following technical solutions: The error detection and repair module 4 includes an error type definition module 20, a checksum calculation module 21, an outlier identification module 22, an automated repair module 23, an error record and reporting module 24, and a data recovery module 25. The error detection and repair module 4 is respectively connected to the error type definition module 20, the checksum calculation module 21, the outlier identification module 22, the automated repair module 23, the error record and reporting module 24, and the data recovery module 25 for data connection. The error type definition module 20 determines the error type. The checksum calculation module 21 calculates the key data and stores the calculation result in a data record or a separate file. During data reading or processing, the checksum is recalculated and compared with the stored value to detect whether the data has been tampered with or damaged during transmission or storage. The outlier identification module 22 identifies the outliers in the data, sets reasonable thresholds or model parameters according to the business logic and data characteristics to distinguish normal data from outliers. The automated repair module 23 automatically fills in the missing values according to the data distribution, business rules or machine learning prediction values, including mean filling, median filling, mode filling or interpolation based on similar records. For the detected duplicate data, measures such as deleting duplicate items, merging records or marking as duplicates are taken. According to the predefined rules or algorithms, the data items with format errors and logical contradictions are automatically corrected. According to the nature of the outliers and business requirements, strategies such as deletion, replacement with statistical values or retention and marking are taken. The error record and reporting module 24 carefully records all detected error types, occurrence times, influence ranges and the repair measures taken, generates an error report that is easy to understand and analyze for the reference of data administrators and decision-makers, and supports filtering and sorting by time, type or data source for easy tracking and analysis of problems. When the data is damaged for various reasons, the data recovery module 25 starts the data recovery process. First, it evaluates the degree and scope of data damage. Second, according to the data backup strategy, it selects the most appropriate backup data for recovery. Finally, it verifies the integrity and accuracy of the recovered data to ensure the normal operation of the system;

[0039] Among them, for the purpose of installation, the present device is implemented by the following technical solution: The processing platform module 1 includes a box body 26. Inside the box body 26, there are two slide rail frames 38. On both inner side walls of the processing platform module 1, a plurality of rotating rods 36 are connected through bearings. A plurality of moving wheels 37 are fixedly sleeved outside the rotating rods 36. The moving wheels 37 are in contact with the slide rail frames 38. On the tops of the two slide rail frames 38, there is a support plate 39 fixedly provided. On one side of the support plate 39, there is a baffle 31 fixedly provided. On one side of the baffle 31, there is a first handle. On the top of the support plate 39, there is a sleeve 40 fixedly provided. On the top of the sleeve 40, there is a server chassis 41. On the bottom of the support plate 39, there are two fixed rods 35 fixedly provided. On the bottoms of the two fixed rods 35, there is a second moving wheel 30 fixedly provided. On the top of the support plate 39, there are a plurality of disk assemblies;

[0040] The disk assembly includes a connection socket 42. The connection socket 42 is fixedly provided on the top of the support plate 39. A disk body 43 is plugged into the top of the connection socket 42. On both sides of the disk body 43, there are sliding grooves 46 opened. A sleeve plate 44 is sleeved outside the disk body 43. On both sides of the sleeve plate 44, there are limit bolts 45 connected through threads. The limit bolts 45 extend into the sliding grooves 46. On both sides of the sleeve plate 44, there are side plates 47 fixedly provided. On one side of one of the side plates 47, there is a telescopic rod 48 fixedly provided. The telescopic rod 48 is fixedly connected with the support plate 39. On one side of the other side plate 47, there is a screw rod 49 connected through threads. One end of the screw rod 49 is connected with the support plate 39 through a bearing. Place the server chassis 41 in the sleeve 40, insert the disk body 43 into the connection socket 42, then rotate the limit bolts 45, the limit bolts 45 insert into the sliding grooves 46, then rotate the screw rod 49, the screw rod 49 drives the side plate 47 to move downwards, the side plate 47 drives the sleeve plate 44 to move downwards, the sleeve plate 44 drives the limit bolts 45 to move downwards, so that the limit bolts 45 press and fix the sliding grooves 46. Then, push the baffle 31 to move through the first handle, the baffle 31 drives the slide rail frame 38 to move, and the slide rail frame 38 slides on the moving wheels 37, so that the server chassis 41 and the disk body 43 move into the box body 26;

[0041] Among them, for the purpose of storing items, the present device is implemented by the following technical solution: On one side of the box body 26, there is a storage box 27. On one side of the storage box 27, there is a second handle. Pull the storage box 27 out of the box body 26 through the second handle to facilitate item storage;

[0042] Among them, for the purpose of heat dissipation, the present device is implemented by the following technical solution: On both sides of the box body 26, there are a plurality of heat dissipation holes 29 opened. The heat dissipation holes 29 facilitate the heat dissipation of the disk assembly and the server chassis 41 inside the box body 26;

[0043] Among them, for the purpose of facilitating movement, the present device is implemented by the following technical solution: at the four corners of the bottom of the box body 26, first moving wheels 28 are fixedly provided, and the first moving wheels 28 facilitate the movement of the box body 26;

[0044] Among them, for the purpose of achieving limiting, the present device is implemented by the following technical solution: on one side of the baffle 31, two rotating plates 33 are connected through bearings, two clamping plates 32 are fixedly provided on one side of the box body 26, the clamping plates 32 are buckled with the rotating plates 33, and the rotating plates 33 are rotated to make the rotating plates 33 buckle with the clamping plates 32, so as to limit the support plate 39;

[0045] Among them, for the purpose of realizing data operation display, the present device is implemented by the following technical solution: a touch screen 34 is installed on one side of the box body 26, and the touch screen 34 provides visual display of data.

[0046] The use process of the present invention is as follows:

[0047] The data input module 2 supports importing data documents from various data sources. The duplicate data detection and removal module 3 identifies duplicate items in the data and provides functions to delete duplicate items with one click or retain unique items. The error detection and repair module 4 defines data verification rules, uses these rules to detect data errors, and attempts to automatically repair the errors. The data standardization module 5 converts the data into a unified format. The result output module 6 exports the processed data document to a specified format and provides data visualization display. The log report module 7 records the key steps and results in the data processing process and generates a processing report, including error details and processing results. The data cleaning module 8 cleans the original data, removing duplicate data, missing data, and error data. The data formatting module 9 unifies the data format, including date format, numerical format, and text format. The data normalization module 10 normalizes the data so that it has similar distribution characteristics within a certain range, using methods such as maximum-minimum normalization and standard deviation normalization for normalization processing. The data encoding module 11 encodes the data, converts unstructured data into structured data, performs word segmentation, part-of-speech tagging, etc. on text data, and performs feature extraction, etc. on image data. The data annotation module 12 annotates the data, adds labels or marks to the data for subsequent data analysis and applications, performs sentiment annotation on text data, and object recognition annotation on image data. The data integration module 13 integrates the data from multiple data sources to make it have a consistent data format and data structure. The data verification module 14 verifies the processed data to ensure that the data meets specific data standard requirements. The data storage module 15 stores the processed data in a database or file for subsequent data management and applications. The data documentation module 16 documents the processed data, records information such as the data source, processing method, and data structure for subsequent data sharing and communication. The data detection module 17 detects duplicate items in the data through technologies such as comparison and hashing. The data deduplication module 18 removes duplicate data based on the detection results and retains unique items, with automatic deduplication based on algorithms, providing an interface for manual review and deduplication. For partially duplicate data containing different information, a merging function is provided to retain the most relevant data fields. The data access module 19 provides an interface for external access to the deduplicated data, supporting multiple standard protocols for convenient data query and use. The error type definition module 20 determines the error type. The verification calculation module 21 calculates key data and stores the calculation results in the data record or a separate file. During data reading or processing, the verification is recalculated and compared with the stored value to detect whether the data has been tampered with or damaged during transmission or storage. The outlier identification module 22 identifies outliers in the data, sets reasonable thresholds or model parameters according to business logic and data characteristics to distinguish normal data from outliers. The automated repair module 23 automatically fills in missing values according to data distribution, business rules, or machine learning prediction values.Including mean filling, median filling, mode filling, or interpolation based on similar records. For the detected duplicate data, measures such as deleting duplicates, merging records, or marking as duplicates are taken. According to predefined rules or algorithms, data items with format errors and logical contradictions are automatically corrected. According to the nature of outliers and business requirements, strategies such as deletion, replacement with statistical values, or retention and marking are adopted. The error record reporting module 24 details all detected error types, occurrence times, affected scopes, and repair measures taken, generates an error report that is easy to understand and analyze for data administrators and decision-makers to reference, and supports filtering and sorting by time, type, or data source for easy problem tracking and analysis. When the data is damaged for various reasons, the data recovery module 25 starts the data recovery process. First, it evaluates the degree and scope of data damage. Second, according to the data backup strategy, it selects the most suitable backup data for recovery. Finally, it verifies the integrity and accuracy of the recovered data to ensure the normal operation of the system;

[0048] When using the present invention, the server chassis 41 is placed inside the housing 40, the disk body 43 is inserted into the connection socket 42, and then the limit bolt 45 is rotated. The limit bolt 45 is inserted into the sliding groove 46. Then the screw rod 49 is rotated. The screw rod 49 drives the side plate 47 to move downward. The side plate 47 drives the sleeve plate 44 to move downward. The sleeve plate 44 drives the limit bolt 45 to move downward, so that the limit bolt 45 presses and fixes the sliding groove 46. Then the baffle 31 is pushed to move by the first handle. The baffle 31 drives the slide rail frame 38 to move. The slide rail frame 38 slides on the moving wheels 37, so that the server chassis 41 and the disk body 43 are moved into the box body 26. The rotating plate 33 is rotated to make the rotating plate 33 engage with the clamping plate 32, thereby limiting the support plate 39. The second moving wheel 30 supports the slide rail frame 38 to facilitate the sliding of the slide rail frame 38. The first moving wheel 28 facilitates the movement of the box body 26. The storage box 27 can store items. The heat dissipation holes 29 facilitate the heat dissipation of the disk components and the server chassis 41 inside the box body 26. The touch screen 34 facilitates data display.

[0049] The above are only the preferred embodiments of the present invention. Any person skilled in the art may modify the present invention by using the technical solutions described above or modify it into an equivalent technical solution. Therefore, any simple modification or equivalent replacement made according to the technical solutions of the present invention falls within the scope of protection required by the present invention.

Claims

1. A data document duplication error removal standardization processing system, comprising a processing platform module (1), characterized in that: The processing platform module (1) comprises a data input module (2), a duplicate data detection and removal module (3), an error detection and repair module (4), a data standardization module (5) and a result output module (6); the output end of the data input module (2) is data-connected to the input end of the duplicate data detection and removal module (3); the output end of the duplicate data detection and removal module (3) is data-connected to the input end of the error detection and repair module (4); the output end of the error detection and repair module (4) is data-connected to the input end of the data standardization module (5); the output end of the data standardization module (5) is data-connected to the input end of the result output module (6); a log reporting module (7) is provided at the connection end of the result output module (6); and the result output module (6) is data-connected to the log reporting module (7).

2. A data document deduplication error standardization processing system according to claim 1, characterized in that: The data standardization module (5) comprises a data cleaning module (8), a data formatting module (9), a data normalization module (10), a data encoding module (11), a data annotation module (12), a data integration module (13), a data verification module (14), a data storage module (15) and a data documentation module (16); the data standardization module (5) is respectively connected to the data cleaning module (8), the data formatting module (9), the data normalization module (10), the data encoding module (11), the data annotation module (12), the data integration module (13), the data verification module (14), the data storage module (15) and the data documentation module (16).

3. A data document duplication error removal and standardization processing system according to claim 1, characterized in that: The duplicate data detection and removal module (3) comprises a data detection module (17), a data deduplication module (18) and a data access module (19); the duplicate data detection and removal module (3) is respectively data-connected to the data detection module (17), the data deduplication module (18) and the data access module (19).

4. A data document deduplication error standardization processing system according to claim 1, characterized in that: The error detection and repair module (4) comprises an error type definition module (20), a check calculation module (21), an abnormal value identification module (22), an automatic repair module (23), an error record reporting module (24) and a data recovery module (25); the error detection and repair module (4) is respectively data-connected to the error type definition module (20), the check calculation module (21), the abnormal value identification module (22), the automatic repair module (23), the error record reporting module (24) and the data recovery module (25).

5. A data document duplication error removal and standardization processing system according to claim 1, characterized in that: The processing platform module (1) comprises a box body (26), two slide rail frames (38) are arranged inside the box body (26), and the inner side walls of the processing platform module (1) are connected to a plurality of rotating rods (36) through bearings, and the plurality of rotating rods (36) are fixedly sleeved with moving wheels (37) outside, and the moving wheels (37) are in contact with the slide rail frames (38). A support plate (39) is fixedly arranged on the top of the two slide rail frames (38), a baffle (31) is fixedly arranged on one side of the support plate (39), and a first handle is arranged on one side of the baffle (31), a sleeve (40) is fixedly arranged on the top of the support plate (39), and a server chassis (41) is arranged on the top of the sleeve (40), two fixed rods (35) are fixedly arranged on the bottom of the support plate (39), and second moving wheels (30) are fixedly arranged on the bottom of the two fixed rods (35), and a plurality of disk assemblies are arranged on the top of the support plate (39); The disk assembly comprises a connection socket (42), wherein the connection socket (42) is fixedly arranged on the top of the support plate (39), a disk body (43) is plugged into the top of the connection socket (42), both sides of the disk body (43) are provided with slide grooves (46), a sleeve plate (44) is sleeved on the outside of the disk body (43), both sides of the sleeve plate (44) are threadedly connected with limit bolts (45), the limit bolts (45) extend into the inside of the slide grooves (46), and both sides of the sleeve plate (44) are fixedly provided with side plates (47), one side of one of the side plates (47) is fixedly provided with a telescopic rod (48), the telescopic rod (48) is fixedly connected to the support plate (39), and one side of the other side plate (47) is threadedly connected with a screw rod (49), and one end of the screw rod (49) is connected to the support plate (39) through a bearing.

6. A data file duplication error removal and standardization processing system according to claim 5, characterized in that: A storage box (27) is provided on one side of the box body (26), and a second handle is provided on one side of the storage box (27).

7. A data file duplication error removal and standardization processing system according to claim 5, characterized in that: A plurality of heat dissipation holes (29) are provided on both sides of the box body (26).

8. A data file duplication error removal and standardization processing system according to claim 5, characterized in that: First moving wheels (28) are fixedly provided at the four corners of the bottom of the box body (26).

9. A data file duplication error removal and standardization processing system according to claim 5, characterized in that: One side of the baffle (31) is connected to two rotating plates (33) via a bearing, and one side of the box body (26) is fixedly provided with two clamping plates (32), and the clamping plates (32) are buckled with the rotating plates (33).

10. A data document duplication error removal and standardization processing system according to claim 5, characterized in that: A touch screen (34) is installed on one side of the box (26).

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