Archive management method and device, computer equipment and storage medium

[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0050] The file management method provided in the embodiment of the present application can be applied to a system capable of file management, and the system can be implemented by an independent server or a server cluster composed of multiple servers, or by other network-side devices. The system can serve various organizations and institutions, including but not limited to various enterprises, institutions, social groups and other institutions. Among them, enterprises can involve engineering, construction, retail, logistics, Internet and other industries; public institutions can include education, technology, culture, health, sports, transportation, agriculture and forestry, information consulting and other units; social groups can include various Academies, associations, research associations, chambers of commerce, foundations, etc.

[0051] In one embodiment, such as figure 1 As shown, a file management method is provided, including the following steps:

[0052] Step 102: Determine the actual receipt data to be matched from the actual receipt file data pool.

[0053] Wherein, the received file data pool is a database for storing received file data. The paid file data pool may include a plurality of collected data sets from different data sources, and each collected data set may include multiple pieces of received data.

[0054] Specifically, the system selects a piece of paid-in file data from the paid-in file data pool as the paid-in data to be matched. In one of the implementations, the paid-in file data in the paid-in file data pool is stored in a preset order (for example, stored in accordance with the business barcode), and the system can select a piece of paid-in file data according to the preset order as the waiting list. Match the received data.

[0055]Step 104: Perform a data search on the receivable file data pool according to the classification information of the actual receipt data to be matched. There are multiple receivable data sets from different data sources in the receivable file data pool, and each receivable data set includes at least one receivable data.

[0056] Wherein, the receivable file data pool is a database for storing receivable file data. Taking this method applied to the enterprise archives management system as an example, the receivable archive data is the archive data that the enterprise needs to archive, including but not limited to various bills, documents involved in the production and operation activities of the enterprise, etc. All receivable file data of the enterprise are stored in the receivable data pool, and the receivable file data can come from multiple different data sources. For example, taking the receivable files as invoices as an example, the multiple different data sources can be the tax bureau database, the internal bill management system of the organization, and so on. The classification information is characteristic information of the received data to be matched, and may include information of one or more fields, which can be used to uniquely identify the received data to be matched. The classification information can be pre-set by the system or the management personnel of the system. For example, taking the actual receipt file corresponding to the actual receipt data to be matched as a value-added tax invoice as an example, the classification information can include invoice code, invoice number, invoice date, sales Information in fields such as the tax ID of the buyer, the tax ID of the buyer, the name of the seller, and the name of the buyer.

[0057] Specifically, the classification information may include multiple fields, and the system may perform a data search in the receivable data pool according to the multiple fields. The specific process of data search can be specifically determined according to the types of the multiple fields. For example, taking the classification information including business barcode, year, month, company code, company name, and file type as an example, the system can first determine the business barcode of the data to be matched, and then search for the matching data in the receivable data pool. The receivable data with the same business barcode is used, and the search results are further searched and filtered according to the year, month, company code, company name and file type.

[0058] Step 106: If there is receivable data matching the classification information of the actual receipt data to be matched in the receivable archive data pool, archive the actual receipt data to be matched.

[0059] Specifically, after the system searches the receivable archive data pool in step 104, if the system obtains receivable data that completely matches the classification information of the actual receipt data to be matched, it archives the actual receipt data to be matched. For example, taking the classification information including business barcode, year, month, company code, company name, and file type as an example, if there are business barcode, year, month, company code, company name, and file type in the receivable file data pool Match the receivable data that matches the actual received data, and the system archives the actual received data to be matched.

[0060] In this embodiment, the actual receipt file data pool for storing the actual receipt file data and the receivable file data pool for storing the receivable file data are set up, and multiple receivable data from different data sources are stored in the receivable file data pool set. Determine the actual receipt data to be matched from the actual receipt file data pool, and then search for matching receivable data from the receivable file data pool according to the classification information of the actual receipt data to be matched. If the matching is successful, the actual receipt to be matched The data is archived. The embodiment of the present application can realize the archiving of multiple data sources, match the processing and matching of received and actual data, and automatically generate the process to be archived, which saves the tedious mechanized operation of manual matching and manual drafting process, and effectively improves the archiving and management of archives efficiency. At the same time, the establishment of the receivable data pool can meet the specific needs of different organizations, institutions and other users, so that the actual archived files meet the specific filing requirements, and avoid the filing of redundant and invalid file data.

[0061] In one embodiment, the aforementioned archiving of the received data to be matched includes:

[0062] If the actual received data to be matched meets the preset archiving requirements, the actual received data to be matched is archived as the data to be archived.

[0063] Specifically, when the system performs an archiving operation on the received data to be matched, it first verifies whether the received data to be matched meets the preset archiving requirements. For example, verify whether the format of the received data to be matched meets the preset requirements, and whether the attachment name of the received file corresponding to the received data to be matched meets the preset requirements, etc.

[0064] In this embodiment, the actual received data to be matched that meet the preset filing requirements is archived, so that the archived data is orderly, conforms to preset rules, and facilitates subsequent management.

[0065] In another embodiment, the aforementioned archiving of the received data to be matched includes:

[0066] Store the data to be matched and received as the data to be filed in the pool to be filed, and the pool to be filed stores multiple pieces of data to be filed;

[0067] When the preset scheduled task is triggered, the data to be archived stored in the pool to be archived is archived.

[0068] Wherein, the pool to be archived is a database for storing data to be archived.

[0069] Specifically, the system does not directly archive the data to be matched and received, but first stores the data to be matched and received in the pool to be archived, and pre-sets a scheduled task. When the scheduled task is triggered, the system automatically treats the archived pool Archive the data to be archived stored in . For example, the system can set the archiving time of the scheduled task to zero o'clock every day, that is, the system archives the data to be archived stored in the pool to be archived at zero o'clock every day. In one of the implementations, the system can also sort the data stored in the pool to be archived, and the scheduled task will archive the data in the pool to be archived at a preset time point according to the sort order. Further, according to the needs of actual scenarios, the threshold N of the number of data to be archived that the system needs to process each time the scheduled task is triggered can be preset (N is a positive integer). N pieces of data to be archived are archived. Of course, in some scenarios, the system can also archive all the data to be archived in the pool to be archived each time the scheduled task is triggered.

[0070] In this embodiment, the system first stores the data to be matched and received into the pool to be archived, and then archives the data in the pool to be archived according to a preset scheduled task. It avoids the continuous archiving operation, saves real-time running load, realizes the automation of to-do tasks, reduces data errors and management loopholes that may be caused by human factors, reduces labor costs, and improves the quality of business data management.

[0071] In one embodiment, when the preset scheduled task is triggered, archiving the data to be archived stored in the pool to be archived includes:

[0072] When the preset scheduled task is triggered, obtain the data to be archived stored in the pool to be archived;

[0073] Among the received data to be archived stored in the pool to be archived, the data to be archived that meet the preset archiving requirements are archived.

[0074] Specifically, when the preset scheduled task is triggered, the system first obtains the pre-archived data to be archived from the pool to be archived, and then verifies whether the data to be archived meets the preset archiving requirements (such as: data format, file name, etc.), If the data to be archived meets the preset archiving requirements, it is archived.

[0075] In this embodiment, not only the pool to be archived is set to store the data to be archived, but also a scheduled task is set to archive the data to be archived, and whether the data to be archived meets the preset requirements is verified before the archiving operation is implemented. It realizes the efficient and orderly archiving process and the standardization of archiving data.

[0076] In one embodiment, such as figure 2 As shown, this method also includes:

[0077] Step 202: Receive a plurality of initial receivable archive data sets from different data sources sent by the receivable data processing node, each initial receivable archive data set includes at least one piece of initial receivable data.

[0078] Wherein, the receivable data processing node may be a server, may also be a server cluster composed of multiple servers, or may be other devices composed of computers, and may be used for processing receivable data.

[0079] Step 204: Perform data cleaning processing on multiple initial receivable archives data sets to obtain multiple receivable archives data sets.

[0080] Step 206: Store multiple receivable archives data sets into the receivable archives data pool.

[0081] Specifically, the receivable data processing node sends multiple initial receivable archive data sets from different data sources to the system, and each initial receivable archive data set includes at least one piece of initial receivable data. For example, taking the receivable file as an example of an invoice, the multiple data sources may include a tax bureau database, an organization's internal bill management system, and the like. In one of the implementations, the system can obtain multiple receivable data processing nodes from different data sources by calling related interfaces, such as: the automatic filing interface from the business system, the invoicing information acquisition interface from the tax bureau, etc. Initial receivables archive dataset. After receiving multiple initial receivable archive data sets from different data sources sent by the receivable data processing node, the system performs data cleaning processing on multiple initial receivable archive data sets. The cleaning process may include repeated data processing, invalid Data deletion, data classification, etc. After the cleaning process is completed, the system stores the obtained multiple receivable file data sets into the receivable file data pool.

[0082] In this embodiment, the system can receive receivable data sets from multiple data sources, thereby realizing multi-data source archiving, cleaning the initial receivable archive data sets, filtering out invalid and redundant data, and processing the processed Multiple receivable archives data sets are stored in the receivable archives data pool, which can be used to match actual receipt data and become the basis for matching actual return and receivable data.

[0083] In one embodiment, such as image 3 As shown, this method also includes:

[0084] Step 302: Receive the initial paid-in file data set sent by the paid-in data processing node, where the initial paid-in file data set includes at least one item of actual received data and/or at least one piece of electronic paid-in data.

[0085] Wherein, the received data processing node may be a server, may also be a server cluster composed of multiple servers, or may be other equipment composed of computers, which may be used to process the received data.

[0086] Step 304: Carry out data cleaning processing on the initial paid-in archives data set to obtain the paid-in archives data set.

[0087] Step 306: Store the paid-in file data set into the paid-in file data pool.

[0088] Specifically, the received data processing node sends one or more initial paid-in file data sets to the system, and each initial paid-in file data set includes at least one piece of physical received data and/or at least one piece of electronic paid-in data. In one of the implementations, the electronic actual receipt data can be obtained by the actual receipt data processing node through an electronic interface (such as: the automatic filing interface of the electronic red note notice), and the actual physical receipt data can be obtained by the actual receipt data processing node by identifying the physical file. For example, the barcode on the cover of the archive can be scanned by a scanning device with identification function to obtain the physical archive data. In one of the implementation manners, the archives of actual receipts may be various meeting documents, personnel management documents, administrative management documents and the like. After the system acquires the initial received file data set, it performs data cleaning processing on it. The data cleaning processing may include repeated data processing, invalid data deletion, data classification, etc. After the cleaning process is completed, the system stores the multiple received file data sets into the received file data pool.

[0089] In this embodiment, the actual receipt file data acquired by the system can be electronic file data or physical file data, so that this method can not only be applied to electronic file management, but also can effectively carry out physical file (including paper file) manage. In one of the implementations, the initial collected archive data set acquired by the system can come from multiple different data sources, realizing the data processing and archiving of multiple data sources. The archiving method in this embodiment not only has a wide range of applications, but also makes the entire archiving process efficient and orderly.

[0090] In one embodiment, the method also includes:

[0091] When the classification information of the received data to be matched fails to match the data in the receivable file data pool, a matching failure report is generated.

[0092] Specifically, if the system cannot search for receivable data that exactly matches the classification information of the actual receipt data to be matched in the receivable file data pool, the system generates a matching failure report, which is used to indicate that the actual receipt data to be matched Unable to match receivable data.

[0093] In this embodiment, when the received data cannot match the receivable data, a matching failure report is generated, which plays an early warning role in the archives management process and can be paid attention to by archives business personnel in real time, making the entire archives management process more accurate. In order to improve and better serve user needs.

[0094] In one embodiment, after archiving the received data to be matched, the method further includes:

[0095] An archiving report corresponding to the data to be archived is generated.

[0096] Specifically, after successfully archiving the actual data to be matched, the system generates an archiving report corresponding to the data to be archived, which is used to indicate the successful archiving of the actual received data to be matched and information related to archiving, such as storage path, file name , filing time, etc.

[0097] In this embodiment, the system generates a corresponding archiving report for the successfully archived data, which can be used by archives business personnel to query archiving actions and archive details, which facilitates subsequent archive management, meets user needs, and improves user experience.

[0098] It should be understood that although Figure 1-3 The various steps in the flowchart are displayed in sequence according to the arrows, but these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. and, Figure 1-3 At least some of the steps may include a plurality of sub-steps or stages, these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the order of execution of these sub-steps or stages is not necessarily It is performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0099] In one embodiment, such as Figure 4 As shown, a file management device is provided, including: a received data determination module, a matching module and an archiving module, wherein:

[0100] The actual received data determination module 402 is used to determine the actual received data to be matched from the actual received file data pool;

[0101] The matching module 404 is used to search the receivable file data pool according to the classification information of the actual data to be matched. There are multiple receivable data sets from different data sources in the receivable file data pool. Each receivable data set includes at least A piece of receivable data;

[0102] The archiving module 406 is configured to archive the actual receipt data to be matched when there is receivable data matching the classification information of the actual receipt data to be matched in the receivable archive data pool.

[0103] In one embodiment, archiving module 406 may include:

[0104] The first archiving unit (not shown in the figure) is used for when there is receivable data matching the classification information of the actual receipt data to be matched in the receivable archive data pool, if the actual receipt data to be matched meets the preset archiving requirements, Archive the data received to be matched as data to be archived.

[0105] In one embodiment, archiving module 406 may include:

[0106] The first storage unit (not shown in the figure) is used to store the actual receipt data to be matched as the data to be archived into the waiting list when there is receivable data matching the classification information of the actual receipt data to be matched in the receivable file data pool. An archive pool, the pool to be archived stores multiple pieces of data to be archived;

[0107] The second archiving unit (not shown in the figure) is configured to archive the data to be archived stored in the pool to be archived when the preset scheduled task is triggered.

[0108] In one embodiment, the above-mentioned second filing unit may include:

[0109] The first acquisition unit (not shown in the figure) is configured to acquire the data to be archived stored in the pool to be archived when the preset timing task is triggered;

[0110] The third archiving unit (not shown in the figure) is configured to archive the data to be archived that meet the preset archiving requirements among the received data to be archived stored in the pool to be archived.

[0111] In one embodiment, such as Figure 5 As shown, this device also includes:

[0112] The first receiving module 502 is configured to receive a plurality of initial receivable archive data sets from different data sources sent by the receivable data processing node, each initial receivable archive data set includes at least one piece of initial receivable data;

[0113] The first cleaning module 504 is configured to perform data cleaning processing on multiple initial receivable file data sets to obtain multiple receivable file data sets;

[0114] The first storage module 506 is configured to store multiple receivable archives data sets into the receivable archives data pool.

[0115] In one embodiment, such as Image 6 As shown, this device also includes:

[0116] The second receiving module 602 is configured to receive the initial paid-in file data set sent by the paid-in data processing node, where the initial paid-in file data set includes at least one piece of physical received data and/or at least one piece of electronic paid-in data;

[0117] The second cleaning module 604 is used to perform data cleaning processing on the initial paid-in file data set to obtain the paid-in file data set;

[0118] The second storage module 606 is used for storing the collected file data set into the collected file data pool.

[0119] In one embodiment, the device also includes:

[0120] The first generation module (not shown in the figure) is used to generate a matching failure report when the classification information of the actual receipt data to be matched fails to match the data in the receivable archives data pool.

[0121] In one embodiment, the device also includes:

[0122] The second generating module (not shown in the figure) is configured to generate an archiving report corresponding to the data to be archived after archiving the actual received data to be matched.

[0123] For the specific limitations of the file management device, please refer to the above-mentioned definition of the file management method, which will not be repeated here. Each module in the above file management device can be fully or partially realized by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

[0124] In one embodiment, a computer device is provided, the computer device may be a server, and its internal structure diagram may be as follows Figure 7 shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store archive management data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a file management method is realized.

[0125] Those skilled in the art can understand that, Figure 7 The structure shown in is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation to the computer equipment on which the solution of this application is applied. The specific computer equipment may include more than shown in the figure or Fewer parts, or combining certain parts, or having a different arrangement of parts.

[0126] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the following steps are implemented:

[0127] Determine the actual receipt data to be matched from the actual receipt file data pool;

[0128] Perform a data search on the receivable file data pool according to the classification information of the actual data to be matched. There are multiple receivable data sets from different data sources in the receivable file data pool, and each receivable data set includes at least one piece of receivable data;

[0129] If there is receivable data matching the classification information of the actual receipt data to be matched in the receivable file data pool, the actual receipt data to be matched will be archived.

[0130] In one embodiment, when the processor executes the computer program to realize the above-mentioned archiving of the received data to be matched, the following steps are also specifically implemented: if the received data to be matched meets the preset archiving requirements, the data received to be matched is used as the data to be matched. Archive data for archiving.

[0131] In one embodiment, when the processor executes the computer program to realize the above-mentioned archiving of the received data to be matched, the following steps are also specifically implemented: storing the received data to be matched as the data to be archived in the pool to be archived, and the data to be archived The pool stores multiple pieces of data to be archived; when the preset scheduled task is triggered, the data to be archived stored in the pool to be archived is archived.

[0132] In one embodiment, the processor executes the computer program to implement the above-mentioned archiving of the data to be archived stored in the pool to be archived when the preset scheduled task is triggered, and specifically implements the following steps: when the preset scheduled task is triggered, obtain the data to be archived The data to be archived stored in the archive pool; among the received data to be archived stored in the pool to be archived, the data to be archived that meet the preset archiving requirements are archived.

[0133] In one embodiment, when the processor executes the computer program, the following steps are further implemented: receiving multiple initial receivable archive data sets from different data sources sent by the receivable data processing node, each initial receivable archive data set includes at least one initial Receivable data; performing data cleaning processing on multiple initial receivable file data sets to obtain multiple receivable file data sets; storing the multiple receivable file data sets into the receivable file data pool.

[0134] In one embodiment, when the processor executes the computer program, the following steps are also implemented: receiving the initial paid-in file data set sent by the received data processing node, the initial paid-in file data set includes at least one item of actual received data and/or at least one item Electronic actual receipt data; perform data cleaning processing on the initial actual receipt archive data set to obtain the actual receipt archive dataset; store the actual receipt archive data set into the actual receipt archive data pool.

[0135] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the classification information of the received data to be matched fails to match the data in the receivable file data pool, a matching failure report is generated.

[0136] In one embodiment, when the processor executes the computer program, the following steps are further implemented: after archiving the received data to be matched, generating an archiving report corresponding to the data to be archived.

[0137]In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0138] Determine the actual receipt data to be matched from the actual receipt file data pool;

[0139] Perform a data search on the receivable file data pool according to the classification information of the actual data to be matched. There are multiple receivable data sets from different data sources in the receivable file data pool, and each receivable data set includes at least one piece of receivable data;

[0140] If there is receivable data matching the classification information of the actual receipt data to be matched in the receivable file data pool, the actual receipt data to be matched will be archived.

[0141] In one embodiment, when the computer program is executed by the processor to archive the above-mentioned received data to be matched, the following steps are also specifically implemented: if the received data to be matched meets the preset archiving requirements, the data received to be matched is used as the data to be matched. Archive data for archiving.

[0142] In one embodiment, when the computer program is executed by the processor to archive the above-mentioned received data to be matched, the following steps are also specifically implemented: storing the received data to be matched as data to be archived in the pool to be archived, and the data to be filed The pool stores multiple pieces of data to be archived; when the preset scheduled task is triggered, the data to be archived stored in the pool to be archived is archived.

[0143] In one embodiment, when the computer program is executed by the processor to archive the data to be archived stored in the pool to be archived when the preset scheduled task is triggered, the following steps are also specifically implemented: when the preset scheduled task is triggered, obtain the data to be archived The data to be archived stored in the archive pool; among the received data to be archived stored in the pool to be archived, the data to be archived that meet the preset archiving requirements are archived.

[0144] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: receiving multiple initial receivable archive data sets from different data sources sent by the receivable data processing node, each initial receivable archive data set includes at least one initial receivable data; performing data cleaning processing on multiple initial receivable file data sets to obtain multiple receivable file data sets; storing the multiple receivable file data sets into the receivable file data pool.

[0145] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: receiving the initial paid-in file data set sent by the paid-in data processing node, the initial paid-in file data set includes at least one item of actual received data and/or at least A piece of electronic actual receipt data; perform data cleaning processing on the initial actual receipt archive data set to obtain the actual receipt archive dataset; store the actual receipt archive data set into the actual receipt archive data pool.

[0146] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: when the classification information of the received data to be matched fails to match with the data in the receivable file data pool, a matching failure report is generated.

[0147] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: after archiving the data received to be matched, generating an archiving report corresponding to the data to be archived.

[0148] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented through computer programs to instruct related hardware, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0149] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be It is considered to be within the range described in this specification.

[0150] The above-mentioned embodiments only represent several implementation modes of the present application, and the description thereof is relatively specific and detailed, but it should not be construed as limiting the scope of the patent for the invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the scope of protection of the patent application should be based on the appended claims.