Enterprise archive informatization intelligent management system based on big data

Abstract

The invention relates to the technical field of information intelligent management, and discloses an enterprise archive informatization intelligent management system based on big data, which comprises an archive repository, and an information management control center is arranged in the archive repository. The information management control center comprises a cloud archive database, a data entry module, a data conversion module, a data encryption module, a retrieval module, a data analysis module and an enterprise department archive database. The data conversion module is arranged, the data information standard is established, and the hyperlink for connecting the original uploaded enterprise department data archive library is established for the retrieved information through the retrieval module, so that the step of data sharing during cross-department query is greatly reduced, and the initial file of archive data of the corresponding identity confidentiality level can be directly queried; therefore, understanding deviation caused by different paraphrases, standards and units during data conversion and department communication can be avoided, and accuracy and timeliness during data file transmission and sharing are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of information intelligent management, and in particular to an enterprise archive information intelligent management system based on big data. Background Art

[0002] Information in an enterprise includes many aspects, including not only staff information but also a large amount of business data information. In enterprise information management, it is necessary to receive and coordinate a large amount of information from the entire enterprise. The information data between departments may have certain differences in format, standards and interpretation, which leads to low efficiency in data information management within the enterprise. Therefore, an information-based intelligent management system is needed.

[0003] According to a publicly disclosed enterprise information intelligent management system based on big data (announcement number: CN117196525B), in the above application, normal enterprise department information data is integrated, enterprise information data is obtained, and the enterprise information data is integrated to obtain a shareable enterprise information database, which is sent to the enterprise data sharing module, and the shareable enterprise information database is verified and shared, thereby realizing data standardization, integration, consolidation and sharing of enterprise data.

[0004] However, when the above-mentioned information-based intelligent management system is working, data queries for a single department can only query the data that has been integrated by the information-based intelligent management system. In order to ensure the uniformity and standardization of the data, there may be differences in naming, units and interpretations between the data of the management center and the original department data. The query response time for the affiliated department is longer, and it is more likely to have docking errors and inaccurate query data. In view of this, we propose an enterprise archive information-based intelligent management system based on big data. Summary of the invention

[0005] The purpose of the present invention is to provide an enterprise archive information intelligent management system based on big data to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an enterprise archive information intelligent management system based on big data, including an archive warehouse, in which an information management control center is arranged, the information management control center includes a cloud archive database, a data entry module, a data conversion module, a data encryption module, a retrieval module and a data analysis module, and an enterprise department archive database, the archive warehouse contains a plurality of compact shelving units, a plurality of archive partitions are arranged inside the compact shelving units, an intelligent locking structure is arranged inside the compact shelving units, the intelligent locking structure is electrically connected to an identity recognition device, the identity recognition device is arranged on the outside of the archive partition, and the cloud archive database stores the identity information of enterprise employees, and the identity recognition device can recognize the above-mentioned enterprise employee identity information.

[0007] Preferably, the number of the data entry modules is set to several groups, the enterprise archives include general archives and departmental archives, the number of the enterprise departments is set to several groups, and the number of the data entry modules is set in one-to-one correspondence with the enterprise departments, so as to facilitate the separate entry and upload of the data of the enterprise departments, thereby facilitating the traceability query of the data in the enterprise archives, the data conversion module performs standardized conversion on the data uploaded by the enterprise departments, the relevant data information standards are pre-entered and set in the cloud archive database, the data information standards of the corresponding departments are entered into the enterprise department archives, and corresponding conversion formulas are established for the data in the cloud archive database and the enterprise department archive database.

[0008] Preferably, the archive warehouse further includes warehouse partitions, and the warehouse partitions are arranged according to the archive type and archive level as judgment factors, and the warehouse partitions are also provided with entrances and exits, and identity recognition devices are provided at the entrances and exits of the warehouse partitions, so that the warehouse partitions are arranged according to certain standards, so that the staff can conduct targeted archive query work according to the type of information to be queried and the confidentiality level of the information, thereby improving the access efficiency of the archives, and at the same time, by providing identity recognition devices at the entrances and exits of the warehouse partitions, personnel who do not correspond to the confidentiality level cannot enter the warehouse partition, thereby posing a threat to the archive data.

[0009] Preferably, the enterprise employee identity information includes enterprise department information, employee identity information and employee confidentiality level. The data encryption module encrypts the archival data in the cloud archive database at a corresponding level to cooperate with the retrieval module of the cloud archive database and the identity recognition device in the archive library to limit access by enterprise employees or other personnel with low confidentiality levels, thereby ensuring the security of enterprise-related archival data.

[0010] Preferably, the data analysis module classifies the data entered into the enterprise department archive database by data clustering method, and the paper archives stored in the enterprise department archive database are scanned and uploaded by using a scanner, and are checked and confirmed before being uploaded to the enterprise department archive database and transported for backup to the archive warehouse, so that the data archives within the enterprise can maintain synchronization when uploading and storing in the warehouse, so that the staff of other departments can query them in time, and the modification authority of the paper data uploaded and backed up by the enterprise department archives lies with the corresponding enterprise department, so as to avoid other enterprise personnel or archive management personnel from changing the enterprise's archive data, thereby causing data confusion.

[0011] Preferably, the number of the intelligent locking structures is set to several groups, and the several groups of intelligent locking structures are evenly distributed inside the compact shelving. At the same time, the intelligent locking structure includes a protection box fixedly installed in the compact shelving, and an identity recognition and deconstruction device is provided on the outside of the protection box. The identity recognition and deconstruction device is controlled by the identity recognition device installed on the outside of the compact shelving. When it is necessary to query and extract relevant archival data, the identity recognition device of the compact shelving reads the identity information of the inquiring person, and performs a confidentiality level query on the corporate employee identity information of the inquiring person through the identity recognition and deconstruction device, and finally releases the intelligent locking structure of the relevant confidentiality level in the corresponding compact shelving.

[0012] Preferably, a pushing structure is provided inside the protection box, and the pushing structure includes a base support and a transmission structure. The base support is provided on the bottom inner surface of the protection box, and the transmission structure is transmission-connected to the side wall of the protection box. When paper archive data is stored in the compact shelving, it is placed inside the protection box and supported by the base support. When it is necessary to inquire and extract relevant archive data, the transmission structure pushes the base support out of the protection box after identity recognition to facilitate the inquiring personnel to take it, which not only ensures the storage security of the archives, but also will not affect the storage security of other data when taking and inquiring.

[0013] Preferably, the retrieval schemes adopted by the retrieval module include keyword query, time query, and partial query, and the retrieval module also includes a screening program to facilitate the staff to exclude relevant department data or only retrieve data of certain departments when searching, thereby improving the efficiency of data retrieval, and the retrieval module establishes a query result table according to the degree of matching when using keyword query, and sorts the historical selection information rate from high to low according to the retrieval record of the current retrieval module, and the sorting method also refers to the data matching degree for comprehensive sorting, and the ranking reference ratio of the matching degree and the historical selection information rate is 8:2, so that a more comprehensive query result can be displayed to the staff to facilitate the staff to select, while improving the query efficiency of the data archive.

[0014] Preferably, the cloud archive database also includes a retrieval record database of the retrieval module, and the retrieval record database includes historical query records of the retrieval module. The historical query record content includes a hyperlink to the query content, and the hyperlink is an enterprise department information link, so that staff can conduct online queries on previously queried data archives based on the retrieval records, thereby reducing the time consumed by re-querying and improving the efficiency of data retrieval queries.

[0015] Preferably, the data information obtained after the retrieval by the retrieval module is the enterprise unified standard information converted by the data conversion module, and the data information also includes a hyperlink to the enterprise department archive database, and the content of the hyperlink to the enterprise department archive database is the initial archive data entered into the enterprise department archive database of the currently retrieved data information, thereby greatly reducing the steps of data sharing during cross-departmental queries, and directly querying the initial files of the archive data corresponding to the identity confidentiality level, thereby avoiding misunderstandings caused by different interpretations, standards, and units during data conversion and departmental communication, and ensuring accuracy and timeliness during data archive transmission and sharing.

[0016] Compared with the prior art, the present invention provides an enterprise archive information intelligent management system based on big data, which has the following beneficial effects: 1. The enterprise archive information intelligent management system based on big data sets up a data conversion module and establishes data information standards, and establishes a hyperlink to the original uploaded enterprise department data archive library through the retrieval module for the retrieved information, so that the query personnel can directly access and compare the original uploaded enterprise department's initial archive data through the retrieval module, which greatly reduces the steps of data sharing during cross-departmental queries, and can directly query the initial files of archive data corresponding to the identity confidentiality level, thereby avoiding the understanding deviation caused by different interpretations, standards, and units during data conversion and departmental communication, and ensuring the accuracy and timeliness of data archive transmission and sharing.

[0017] 2. The enterprise archive information intelligent management system based on big data is equipped with corresponding identity recognition devices in the archive warehouse and the interior of the compact shelving, so that the warehouse partitions are arranged according to certain standards, so that the staff can conduct targeted archive query work according to the type of information to be queried and the confidentiality level of the information, thereby improving the access efficiency of the archives. At the same time, by installing identity recognition devices at the entrances and exits of the warehouse partitions, personnel who do not correspond to the confidentiality level cannot enter the warehouse partitions, thereby posing a threat to the archive data.

[0018] 3. The enterprise archive information intelligent management system based on big data is equipped with an intelligent locking structure and an identity recognition and deconstruction device inside the compact shelving. When it is necessary to query and extract relevant archive data, the identity recognition device of the compact shelving reads the identity information of the inquirer, and queries the confidentiality level of the inquirer's enterprise employee identity information through the identity recognition and deconstruction device. Finally, the intelligent locking structure of the relevant confidentiality level is released in the corresponding compact shelving. After identity recognition, the transmission structure pushes the bottom support out of the protection box to facilitate the inquirer to take it, which not only ensures the storage security of the archives, but also will not affect the storage security of other data during retrieval and query. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic diagram of the composition of the information-based intelligent management system of the present invention; Figure 2 It is a schematic diagram of the composition of the compact shelving of the present invention. DETAILED DESCRIPTION

[0020] like Figure 1-Figure 2 As shown, the present invention provides a technical solution: an enterprise archive information intelligent management system based on big data, including an archive warehouse, an information management control center is arranged in the archive warehouse, the information management control center includes a cloud archive database, a data entry module, a data conversion module, a data encryption module, a retrieval module and a data analysis module, an enterprise department archive database, the archive warehouse contains a plurality of compact shelves, a plurality of archive partitions are arranged inside the compact shelves, an intelligent locking structure is arranged inside the compact shelves, the intelligent locking structure is electrically connected to an identity recognition device, the identity recognition device is arranged on the outside of the archive partition, and the cloud archive database stores the identity information of enterprise employees. Information, and the identity recognition device can recognize the identity information of the above-mentioned enterprise employees. The archive warehouse also includes warehouse partitions, and the warehouse partitions are arranged according to the archive type and archive level as judgment factors, and the warehouse partitions are also provided with entrances and exits. Identity recognition devices are provided at the entrances and exits of the warehouse partitions, so that the warehouse partitions are arranged according to certain standards, so that the staff can perform targeted archive query work according to the type of information to be queried and the confidentiality level of the information, thereby improving the access efficiency of the archives. At the same time, by providing identity recognition devices at the entrances and exits of the warehouse partitions, personnel who do not correspond to the confidentiality level cannot enter the warehouse partition, thereby posing a threat to the archive data.

[0021] In one embodiment of the present invention, the number of the data entry modules is set to several groups, the enterprise archives include general archives and departmental archives, the number of the enterprise departments is set to several groups, and the number of the data entry modules is set in one-to-one correspondence with the enterprise departments, so as to facilitate the separate entry and upload of the data of the enterprise departments, thereby facilitating the traceability query of the data in the enterprise archives, the data conversion module performs standardized conversion on the data uploaded by the enterprise departments, the relevant data information standards are pre-entered and set in the cloud archive database, the data information standards of the corresponding departments are entered into the enterprise department archives, and corresponding conversion formulas are established for the data in the cloud archive database and the enterprise department archive database.

[0022] Furthermore, the enterprise employee identity information includes enterprise department information, employee identity information and employee confidentiality level. The data encryption module encrypts the archive data in the cloud archive database at a corresponding level to cooperate with the retrieval module of the cloud archive database and the identity recognition device in the archive library to limit access by enterprise employees or other personnel with a low confidentiality level, thereby ensuring the security of enterprise-related archive data. At the same time, the data analysis module classifies the data entered into the enterprise department archive database through a data clustering method, and the paper archives stored in the enterprise department archive database are scanned and uploaded using a scanner, and are checked and confirmed before being uploaded to the enterprise department archive database and transported for backup to the archive warehouse, so that the data archives in the enterprise are synchronized when uploaded and stored in the warehouse, so that staff from other departments can query them in a timely manner, and the modification authority of the paper data uploaded and backed up by the enterprise department archives lies with the corresponding enterprise department, so as to avoid other enterprise personnel or archive management personnel from changing the enterprise's archive data, thereby causing data confusion.

[0023] In addition, the number of the intelligent locking structures is set to several groups, and the several groups of intelligent locking structures are evenly distributed inside the compact shelving. At the same time, the intelligent locking structure includes a protection box fixedly installed in the compact shelving, and an identity recognition and deconstruction device is arranged on the outside of the protection box. The identity recognition and deconstruction device is controlled by the identity recognition device installed on the outside of the compact shelving. When it is necessary to query and extract relevant archival data, the identity recognition device of the compact shelving reads the identity information of the inquirer, and performs a confidentiality level query on the corporate employee identity information of the inquirer through the identity recognition and deconstruction device, and finally releases the corresponding compact shelving. An intelligent locking structure with relevant confidentiality levels. In addition, a pushing structure is arranged inside the protection box, and the pushing structure includes a base and a transmission structure. The base is arranged on the bottom inner surface of the protection box, and the transmission structure is transmission-connected to the side wall of the protection box. When paper archive data is stored in the compact shelving, it is placed inside the protection box and supported by the base. When it is necessary to inquire and extract relevant archive data, after identity recognition, the transmission structure pushes the base out of the protection box to facilitate the inquiring personnel to take it, which not only ensures the storage security of the archives, but also will not affect the storage security of other data when taking and inquiring.

[0024] In an embodiment of the present invention, the retrieval schemes adopted by the retrieval module include keyword query, time query, and partial query, and the retrieval module also includes a screening program to facilitate the staff to exclude relevant department data or only retrieve data of certain departments when searching, thereby improving the efficiency of data retrieval, and the retrieval module establishes a query result table according to the degree of matching when using keyword query, and sorts the historical selection information rate from high to low according to the retrieval record of the current retrieval module, and the sorting method also refers to the data matching degree for comprehensive sorting, and the ranking reference ratio of the matching degree and the historical selection information rate is 8:2, so that a more comprehensive query result can be presented to the staff to facilitate the staff to select, while improving the query efficiency of the data archive.

[0025] In the present invention, the cloud archive database also includes a retrieval record database of the retrieval module, and the retrieval record database includes historical query records of the retrieval module. The content of the historical query record includes a hyperlink to the query content, and the hyperlink is an enterprise department information link, so that the staff can conduct online queries on previously queried data archives based on the retrieval records, reducing the time consumed by re-querying and improving the efficiency of data retrieval queries. It is worth noting that the data information obtained after the retrieval by the retrieval module is the enterprise unified standard information converted by the data conversion module, and the data information also includes a hyperlink to the enterprise department archive database, and the content of the hyperlink to the enterprise department archive database is the initial archive data entered into the enterprise department archive database of the currently retrieved data information, thereby greatly reducing the steps of data sharing during cross-departmental queries, and can directly query the initial files of archive data corresponding to the identity confidentiality level, thereby avoiding the understanding deviation caused by different interpretations, standards, and units during data conversion and departmental communication, and ensuring the accuracy and timeliness of data archive transmission and sharing.

[0026] The above generally describes the present invention in detail, but it is obvious to a person skilled in the art that some modifications or improvements can be made to the present invention. Therefore, modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. An enterprise archive information intelligent management system based on big data, comprising an archive warehouse, wherein an information management control center is provided in the archive warehouse, and characterized in that: The information management control center includes a cloud archive database, a data entry module, a data conversion module, a data encryption module, a retrieval module and a data analysis module, and an enterprise department archive database. The archive warehouse contains a plurality of compact shelving units, and a plurality of archive partitions are arranged inside the compact shelving units. An intelligent locking structure is arranged inside the compact shelving units, and the intelligent locking structure is electrically connected to an identity recognition device, and the identity recognition device is arranged on the outside of the archive partition. The cloud archive database stores the identity information of enterprise employees, and the identity recognition device can recognize the above-mentioned identity information of enterprise employees.

2. According to the big data-based enterprise archives information intelligent management system of claim 1, it is characterized by: The number of the data entry modules is set to several groups, the enterprise archives include general archives and departmental archives, the number of the enterprise departments is set to several groups, and the number of the data entry modules is set in one-to-one correspondence with the enterprise departments, the data conversion module performs standardized conversion on the data uploaded by the enterprise departments, the cloud archive database pre-enters and sets relevant data information standards, the data information standards of the corresponding departments are entered into the enterprise department archives, and corresponding conversion formulas are established for the data in the cloud archive database and the enterprise department archive database.

3. According to the big data-based enterprise archives information intelligent management system of claim 2, it is characterized by: The archive warehouse also includes warehouse partitions, which are arranged according to archive type and archive level as judgment factors, and the warehouse partitions are also provided with entrances and exits, and identity recognition devices are provided at the entrances and exits of the warehouse partitions.

4. According to the big data-based enterprise archives information intelligent management system of claim 3, it is characterized by: The enterprise employee identity information includes enterprise department information, employee identity information and employee confidentiality level, and the data encryption module encrypts the archive data in the cloud archive database at a corresponding level.

5. According to the big data-based enterprise archives information intelligent management system of claim 4, it is characterized by: The data analysis module classifies the data entered into the enterprise department archive database by data clustering method, and the paper archives stored in the enterprise department archive database are scanned and uploaded using a scanner, and are checked and confirmed before being uploaded to the enterprise department archive database and transported for backup to the archive warehouse.

6. According to claim 5, the enterprise archives information intelligent management system based on big data is characterized by: The number of the intelligent locking structures is set to several groups, and the several groups of intelligent locking structures are evenly distributed inside the compact shelving. At the same time, the intelligent locking structure includes a protection box fixedly installed in the compact shelving, and an identity recognition and deconstruction device is arranged on the outside of the protection box. The identity recognition and deconstruction device is controlled by the identity recognition device installed on the outside of the compact shelving.

7. The enterprise archives information intelligent management system based on big data according to claim 6 is characterized by: A pushing structure is provided inside the protection box, and the pushing structure includes a base support and a transmission structure. The base support is provided on the bottom inner surface of the protection box, and the transmission structure is transmission-connected to the side wall of the protection box. When paper archive data is stored in the compact shelving, it is placed inside the protection box and supported by the base support.

8. The enterprise archives information intelligent management system based on big data according to claim 7 is characterized by: The retrieval schemes adopted by the retrieval module include keyword query, time query, and partial query, and the retrieval module also includes a screening program. When the retrieval module uses keyword query, it establishes a query result table according to the degree of matching, and sorts the historical selected information rate from high to low according to the retrieval records of the current retrieval module. The sorting method also refers to the data matching degree for comprehensive sorting, and the ranking reference ratio of the matching degree and the historical selected information rate is 8:

2.

9. The enterprise archives information intelligent management system based on big data according to claim 8 is characterized by: The cloud archive database also includes a search record database of the search module, and the search record database includes historical query records of the search module. The historical query record content includes a hyperlink to the query content, and the hyperlink is an enterprise department information link.

10. The enterprise archives information intelligent management system based on big data according to claim 9 is characterized by: The data information obtained after the retrieval module is the enterprise unified standard information converted by the data conversion module, and the data information also includes a hyperlink to the enterprise department archive database, and the content of the hyperlink to the enterprise department archive database is the initial archive data entered into the enterprise department archive database of the currently retrieved data information.

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