CN116701424A

CN116701424A - Data processing method, apparatus, computer device, storage medium, and program product

Info

Publication number: CN116701424A
Application number: CN202310768396.3A
Authority: CN
Inventors: 张昊睿; 刘志荣; 张云
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2023-06-27
Filing date: 2023-06-27
Publication date: 2023-09-05

Abstract

The application relates to a data processing method, a device, a computer equipment, a storage medium and a computer program product, which are applied to the technical field of big data processing, wherein the method comprises the following steps: acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; determining a target asset table to be updated according to the asset scene; and updating the target asset table to be updated according to the asset metering data. The method can improve the flexibility of data analysis.

Description

Data processing method, apparatus, computer device, storage medium, and program product

Technical Field

The present application relates to the field of big data technology, and in particular, to a data processing method, apparatus, computer device, storage medium, and computer program product.

Background

With the rapid development of the financial market, the types and the daily increases of assets provided by the financial institutions are also greatly increased, and the financial institutions are beneficial to mining the hidden trend of the assets and facilitating the maintenance and management of the asset data by analyzing and processing the asset data.

Typically, financial institutions analyze asset data based on three stages of risk, lacking the flexibility of data analysis.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a data processing method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve the flexibility of data analysis.

In a first aspect, the present application provides a data processing method. The method comprises the following steps: acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; determining a target asset table to be updated according to the asset scene; and updating the target asset table to be updated according to the asset metering data.

In one embodiment, the asset metering data comprises a first asset switch back resource, the asset metering criteria is a metering-major-class-based criteria, and the asset base information comprises asset attribute information and an asset holding amount number; and processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data, wherein the method comprises the following steps of: when the target asset data does not exist in the asset value-reducing entry sub-table, obtaining the position residual quantity corresponding to the asset metering standard from the head balance table according to the asset attribute information; and splitting the total reserve of the first asset under the metering major class according to the position residual quantity and the reserve quantity of the asset, and obtaining the first asset transfer-back resource.

In one embodiment, said splitting the total reserve of the first asset under the metering category according to the remaining number of positions and the reserve of the asset, obtaining the first asset transfer-back resource comprises: obtaining a split ratio of the total reserved amount of the first asset according to the position residual amount and the reserved amount of the asset; and splitting the total reserved amount of the first asset according to the splitting proportion of the total reserved amount of the first asset, and obtaining the first asset transfer-back resource.

In one embodiment, the determining a target asset table to be updated according to the asset scene includes: when the asset scene is a first preset scene, determining that the target asset table to be updated is an asset delivery position meter; wherein the first preset scene comprises an asset value reduction new scene; and updating the target asset table to be updated according to the asset metering data, including: and updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

In one embodiment, the asset base information further includes an asset sales transaction number and an asset total, the method further comprising: when the asset scene is updated from a first preset scene to any scene in a second preset scene, splitting the total reserve of the second asset under the metering subclass of the metering major class according to the number of sold transactions of the asset and the total number of the assets to obtain a second asset transfer-back resource; the second preset scene comprises an asset value reduction selling transaction counting scene and an asset value reduction selling transaction canceling scene; and updating the updated asset delivery position meter according to the second asset transfer back resource and the asset attribute information.

In one embodiment, the updating the updated asset delivery location meter according to the second asset switch back resource and the asset attribute information includes: obtaining an asset deduction number according to the position residual number and the asset selling transaction number; obtaining the asset reduction value holding resource according to the second asset transfer-back resource and the first asset transfer-back resource; updating the updated asset delivery position meter according to the asset attribute information, the asset dereferencing conservation resource and the asset dereferencing quantity; the method further comprises the steps of: and updating an asset transaction position meter according to the asset attribute information and the second asset transfer-back resource.

In a second aspect, the application further provides a data processing device. The device comprises: the data acquisition module is used for acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; the data processing module is used for processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; the determining module is used for determining a target asset table to be updated according to the asset scene; and the updating module is used for updating the target asset table to be updated according to the asset metering data.

In one embodiment, the asset metering data comprises a first asset switch back resource, the asset metering criteria is a metering-major-class-based criteria, and the asset base information comprises asset attribute information and an asset holding amount number; the data processing module is further configured to: when the target asset data does not exist in the asset value-reducing entry sub-table, obtaining the position residual quantity corresponding to the asset metering standard from the head balance table according to the asset attribute information; and splitting the total reserve of the first asset under the metering major class according to the position residual quantity and the reserve quantity of the asset, and obtaining the first asset transfer-back resource.

In one embodiment, the data processing module is further configured to: obtaining a split ratio of the total reserved amount of the first asset according to the position residual amount and the reserved amount of the asset; and splitting the total reserved amount of the first asset according to the splitting proportion of the total reserved amount of the first asset, and obtaining the first asset transfer-back resource.

In one embodiment, the determining module is further configured to determine that the target asset table to be updated is an asset delivery position meter when the asset scene is a first preset scene; wherein the first preset scene comprises an asset value reduction new scene; and the updating module is further used for updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

In one embodiment, the asset base information further includes an asset sales transaction number and an asset total, the update module further configured to: when the asset scene is updated from a first preset scene to any scene in a second preset scene, splitting the total reserve of the second asset under the metering subclass of the metering major class according to the number of sold transactions of the asset and the total number of the assets to obtain a second asset transfer-back resource; the second preset scene comprises an asset value reduction selling transaction counting scene and an asset value reduction selling transaction canceling scene; and updating the updated asset delivery position meter according to the second asset transfer back resource and the asset attribute information.

In one embodiment, the updating module is further configured to: obtaining an asset deduction number according to the position residual number and the asset selling transaction number; obtaining the asset reduction value holding resource according to the second asset transfer-back resource and the first asset transfer-back resource; updating the updated asset delivery position meter according to the asset attribute information, the asset dereferencing conservation resource and the asset dereferencing quantity; and updating an asset transaction position meter according to the asset attribute information and the second asset transfer-back resource.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of: acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; determining a target asset table to be updated according to the asset scene; and updating the target asset table to be updated according to the asset metering data.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; determining a target asset table to be updated according to the asset scene; and updating the target asset table to be updated according to the asset metering data.

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of: acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information; processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; determining a target asset table to be updated according to the asset scene; and updating the target asset table to be updated according to the asset metering data.

According to the data processing method, the device, the computer equipment, the storage medium and the computer program product, the target asset data can be processed according to the asset basic information and the asset metering standard included in the target asset data by acquiring the target asset data, the asset metering data is obtained, and the target asset table to be updated is determined according to the asset scene so as to update the target asset table to be updated through the asset metering data. Therefore, by analyzing the asset data in combination with the asset scene, the flexibility of data analysis is improved compared with a mode of maintaining only three-stage risk maintenance. In addition, the method of the application can also promote the maintainability of the data, and is convenient for the financial institutions to maintain and manage the target asset data. In addition, since the updated target asset table is the latest data, the accuracy of the financial analysis can be improved when the updated target asset table is subjected to the financial analysis, so that data support with more reference value is provided for the financial institutions.

Drawings

FIG. 1 is a diagram of an application environment for a data processing method in one embodiment;

FIG. 2 is a flow diagram of a data processing method in one embodiment;

FIG. 3 is a flow diagram of processing target asset data to obtain asset metering data according to asset base information and asset metering criteria in one embodiment;

FIG. 4 is a flow chart of a data processing method according to another embodiment;

FIG. 5 is a flow diagram of a first asset transition back to a resource based on a position residual quantity and an asset reserve quantity split under a large class of measured total reserve of the first asset in one embodiment;

FIG. 6 is a flow chart of a data processing method according to another embodiment;

FIG. 7 is a flow chart of a data processing method according to another embodiment;

FIG. 8 is a flow diagram of an update of an updated asset delivery position meter based on a second asset switch back to asset and asset attribute information, in one embodiment;

FIG. 9 is a flow chart of a data processing method according to another embodiment;

FIG. 10 is a flow chart of a data processing method according to another embodiment;

FIG. 11 is a block diagram of a data processing apparatus in one embodiment;

Fig. 12 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The data processing method provided by the embodiment of the application can be applied to an application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process and the data storage system may store target asset data. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server.

Specifically, the terminal 102 obtains target asset data, which includes asset scenes and asset basic information, and transmits the target asset data to the server 104. The server 104 processes the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data; and determining a target asset table to be updated according to the asset scene, and further updating the target asset table to be updated through asset metering data, so that an updated target asset table can be obtained.

The terminal 102 may include, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a data processing method is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:

s202, acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information.

In this embodiment, an asset is a resource that is formed from past transactions or matters by a financial institution, owned or controlled by the financial institution, and is expected to bring economic benefits to the financial institution. In some embodiments, the asset refers to a bond, which is a value document issued by a financial institution (i.e., creditor) for raising funds in accordance with legal procedures and promised to the creditor to pay back on a specified date. The target asset data is used to represent data related to the asset, for example, in the case of an asset as a bond, the target asset data is bond-decrementing data, which is used to represent that the recoverable amount of the asset (i.e., bond) is below its account value, and the bond-decrementing data refers to data corresponding to a bond whose recoverable amount is below its account value.

Specifically, the terminal provides an interactive interface for a user, the user inputs an asset scene at the interactive interface, the server responds to the input operation of the user, the asset scene can be obtained, the asset basic information is obtained based on the identification of the user, and the asset data corresponding to the user is obtained.

In some embodiments, when the server obtains asset data corresponding to a plurality of users, the asset data of each user corresponds to an asset posting date, a processing state and a life cycle, and when the server does not process the asset data, the processing state of the asset data is to be processed, and the life cycle of the asset data is a valid state. The server counts asset data of a plurality of users, and the counted asset data can be stored in an asset value-reducing entry table. The server may periodically acquire asset data on the day of the posting date from the asset dereferencing entry table, and the server acquires the target asset data. Taking the asset as a bond as an example, the asset value entry table refers to a data table for counting bond value information entered by a user.

It can be understood that when the server obtains the asset data of the current day for processing, the server processes the asset data daily, so that the processing frequency is improved and the timeliness of data processing is improved compared with the prior art by updating the relevant information of the bond decrement value daily.

In this embodiment, the asset scenario is used to represent a scenario when the asset is applied, taking the asset as a bond as an example, and when the target asset data is bond-reduction data, the asset scenario is bond-reduction scenario, and the bond-reduction scenario includes, but is not limited to: the method comprises the steps of a first preset scene, a second preset scene and a third preset scene. By configuring different bond value reduction scenes, bond value reduction data can be processed more flexibly and efficiently, meanwhile, the efficiency of processing the subsequent newly added value reduction scenes can be improved, and the working efficiency of development and business personnel is improved.

Specifically, the first preset scene includes a bond value-reducing newly-added scene and the like, the bond value-reducing newly-added scene is a scene of newly-added bond value-reducing, and in the bond value-reducing newly-added scene, the bonds are not transacted and not paid.

Specifically, the second preset scenario includes a bond value selling transaction proposal scenario, a bond value selling transaction offset scenario, and the like. The bond deduction selling transaction counting and lifting scene is a scene that bonds with the recoverable amount lower than the account value are counted and lifted in the selling transaction process. The bond deduction value sell transaction offset scenario is a scenario in which bonds with a recoverable amount lower than their account value are offset during the sell transaction.

Specifically, the third preset scenario includes a bond value selling and paying and charging scenario, a bond value selling and charging scenario, a bond value post-period adjustment scenario, a bond value season end-of-season zero clearing and charging scenario, a bond expiration value metering and charging scenario, a bond expiration value charging scenario, and the like.

The bond deduction value selling and paying and lifting scene is a scene that bonds with the recoverable amount lower than the account value are subjected to counting and lifting processing in the process of selling and paying. The bond deduction value sell-out and reimbursement scene is a scene in which a bond with a recoverable amount lower than the account value is reimbursed in the process of selling-out and reimbursement.

The post-debt value period adjustment scene is a scene of post-period adjustment of a debt with a recoverable amount lower than the account value thereof, for example, the post-period adjustment of a debt with a posted and "checked-in" recoverable amount lower than the account value thereof can be performed, and when the post-period adjustment is performed on the debt, the debt calculation day, the debt account entry day, the bond name, the bond currency, the metering class and the financial return list of whether or not can not be modified, and the nominal amount, the holding amount of the first risk stage, the holding amount of the second risk stage and the holding amount of the third risk stage can be modified. The deduction calculation date refers to the total amount of the face of the bond for which the recoverable amount is lower than the face value, and the deduction posting date refers to the date on which the deposit is registered in the accounting and position measurement, and for example, the last working date of the quarter acquired according to the background working calendar according to the deduction calculation date can be used as the deduction posting date. The bond currency refers to a type when the bonds are classified according to the currency, and for example, the bond currency may include a rennet bond, a foreign bond, and the like. The metering category is a metering method and a classification of bonds, and the metering category comprises metering according to amortization cost, metering according to fair value and the like, and the accounting method of bonds is different according to different metering categories.

The bond deduction value end-of-season zero clearing and counting scene refers to a scene that bonds with the recoverable amount lower than the account value are cleared and counting at the end of a season or the end of a period. The bond expiration and reduction counting scenario refers to a scenario in which a credit is processed by counting due to a bond whose recoverable amount is lower than its account value. The bond expiration decrement value cancellation refers to a scenario in which the cancellation process is performed when the bond whose recoverable amount is lower than its account value expires.

In the present embodiment, the asset basic information refers to information related to an asset, and the asset basic information includes asset attribute information and asset resource information. Taking the asset as a bond as an example, the asset attribute information may include the effective date and expiration date of the bond discount at the current period, a bond transaction flag including a credit or a debit, a bond discount date, a bond payment date, and a bond transaction date, etc. Asset resource information is used to represent the resources held by the asset, and for example, the asset resource information may include the amount of the asset held in the three stages of risk, etc.

S204, processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data.

In this embodiment, the asset measurement data refers to data after processing the target asset data, for example, the asset measurement data includes asset transfer back resources, and the asset is taken as an example of a bond, and the asset transfer back amount refers to a reduced amount of money due to a bond selling transaction.

In this embodiment, asset metering criteria are used to represent criteria for metering an asset, which may include a metering major class and a metering minor class under the metering major class. The metering category is a metering method and classification of bonds, including metering at amortized cost, metering at fair value, etc. The metering subclass is a metering method and class of bonds, including metering in equity value net equity, and the like. For example, where the metering major class is metering with fair value, the corresponding metering minor class may be metering with fair value net profit or metering with fair value net equity.

In some embodiments, the asset basic information may include asset types, taking an asset as a bond as an example, and the asset basic information is a bond query condition commonly used, thereby reducing development cost and improving development efficiency. The bond types may include, but are not limited to, corporate bonds, financial bonds, and the like. Specifically, the target asset data may be classified according to asset types, and the classified data may be processed based on asset metering criteria to obtain asset metering data corresponding to each asset type.

S206, determining a target asset table to be updated according to the asset scene.

In this embodiment, when asset scenes are different, the corresponding target asset tables to be updated are also different. For example, when the asset scenario is a first preset scenario, the target asset table to be updated is an asset delivery position meter, which is a data table of recorded transacted and delivered bond position metering information. When the asset scene is any one of the second preset scenes, the target asset table to be updated is an asset transaction position meter and an asset delivery position meter, and the bond transaction position meter is a data table of recorded bond position metering information of the transaction un-delivered bonds. And when the asset scene is a third preset scene, the target asset table to be updated is an asset delivery position meter.

When the asset scene is updated from the first preset scene to the second preset scene or the third preset scene, the bond cut position meter corresponding to the second preset scene or the third preset scene is updated based on the bond cut position meter corresponding to the first preset scene.

S208, updating the target asset table to be updated according to the asset metering data.

In the present embodiment, when the target asset table to be updated is different, the content of the asset metering data is also different. For example, where the target asset table to be updated is a bond transaction position meter, the asset metering data includes an asset transfer back amount. When the target asset table to be updated is a bond-cut position meter, the asset metering data includes asset-reduced-value holding resources, asset-reduced-value quantity, and the like. Therefore, when the target asset table to be updated is updated according to the asset metering data, specifically, the content corresponding to the asset metering data in the target asset table to be updated is updated.

In summary, based on the method shown in fig. 2, by acquiring the target asset data, the target asset data may be processed according to the asset basic information and the asset metering standard included in the target asset data, to obtain the asset metering data, and the target asset table to be updated is determined according to the asset scene, so as to update the target asset table to be updated through the asset metering data. Therefore, the asset data are classified and analyzed by combining the asset scenes, and compared with a mode of maintaining the limit in three stages only, the method improves the flexibility of data analysis. In addition, the method of the application can also promote the maintainability of the data, and is convenient for the financial institutions to maintain and manage the target asset data. In addition, since the updated target asset table is the latest data, the accuracy of the financial analysis can be improved when the updated target asset table is subjected to the financial analysis, so that data support with more reference value is provided for the financial institutions.

In one embodiment, the asset metering data includes a first asset switch back resource, the asset metering criteria being criteria based on a metering broad class, the asset base information including asset attribute information and an asset holding amount. Taking the asset as a bond as an example, the asset attribute information includes, but is not limited to: the date of validation and expiration of the bond reduction value at the current date, the bond transaction flag, the bond reduction value date, the bond payment date, the bond transaction date, and so forth. The amount of asset maintenance is obtained based on user input. For example, the terminal provides an interactive interface to the user, and the server obtains the amount of the asset held in response to an input operation of the user on the amount of the asset held.

Specifically, as shown in fig. 3, a flow chart for processing target asset data according to asset basic information and asset metering criteria to obtain asset metering data is provided, and the method is applied to the server 104 in fig. 1, for example, and may include the following steps:

s302, when the target asset data does not exist in the asset value entry sub-table, the position surplus number corresponding to the asset metering standard is obtained from the head balance table according to the asset attribute information.

In this embodiment, the asset value entry sub-table refers to a data table that stores asset data entered by a statistical user according to a metering subclass and acquires data associated with the asset data. Specifically, the server may obtain asset data that satisfies the processing condition from the asset value entry table (e.g., the date of entry of the asset data is on the same day, the life cycle is in a valid state, and the processing state is to be processed), and obtain the target asset data, thereby determining whether the target asset data is already recorded in the asset value entry table.

Specifically, taking an asset as a bond and target asset data as bond value-reducing data as an example, when a user inputs bond value-reducing data through an interactive interface, a server responds to input operation of the user and automatically distributes a corresponding bond value-reducing input number and bond value-reducing input version number for the bond value-reducing data input by the user; when the server determines that the target asset data does not exist in the asset value entry sub-table according to the bond value entry number and the bond value entry version number, the server obtains the position surplus number corresponding to the asset metering standard from the head balance table according to the asset attribute information.

The position balance table refers to a data table after the balance statistics of the bond buying and selling. Position is also called "head lining" and is a popular term in the financial and business industries, and is called "multi-position" if the financial institution receives more money than it receives in the entire payment on the day, and is called "lack position" if it receives more money than it receives, simply stated, it is called available cash.

S304, splitting and metering the total reserve of the first asset under the major category according to the position residual quantity and the reserve quantity of the asset, and obtaining a first asset transfer-back resource.

In some embodiments, a split ratio of the total reserved amount of the first asset can be obtained according to the remaining position number and the reserved amount of the asset, wherein the split ratio of the total reserved amount of the first asset is a ratio of the remaining position number to the remaining position number; obtaining a difference value between a split proportion of the total reserve of the first asset and a preset proportion; and obtaining a first asset transfer-back resource according to the difference value and the total reserve of the first asset, wherein the first asset transfer-back resource is the product of the total reserve of the first asset and the difference value. Taking the resource as an example, the first asset is converted back to the resource as the initial holding stage amount.

To sum up, based on the method shown in fig. 3, when the target asset data does not exist in the asset value-reducing entry sub-table, the position residual quantity corresponding to the asset metering standard is obtained from the position balance table according to the asset attribute information, and then the first asset total reserve under the large category of split metering is obtained according to the position residual quantity and the asset reserve quantity. When the target asset table to be updated is determined according to the asset scene, the target asset table to be updated can be updated through the first asset transfer-back resource. Therefore, the asset data are classified and analyzed by combining the asset scenes, and compared with a mode of maintaining the limit in three stages only, the method improves the flexibility of data analysis. In addition, the method of the application can also promote the maintainability of the data, and is convenient for the financial institutions to maintain and manage the target asset data. In addition, since the updated target asset table is the latest data, the accuracy of the financial analysis can be improved when the updated target asset table is subjected to the financial analysis, so that data support with more reference value is provided for the financial institutions.

In some embodiments, when the target asset data is present in the asset value entry sub-table, the server invokes a failure mitigation detail component that is used to fail the target asset data present in the asset value entry sub-table. Further, the server invokes the accounting and cancellation component and the position measurement and cancellation component to perform accounting and cancellation processing and position measurement and cancellation processing on the target asset data existing in the asset reduction entry sub-table respectively. Meanwhile, the server calls a reduced value detail registration means for registering the target asset data in a reduced value detail table, which is a table of bond reduced value information generated by counting the daily mass processing of the asset data by the server.

In one embodiment, when the server processes the asset data on the same day, if the same day is the end of a season (the last day of a quarter) and the asset data also has a bond reduction balance, the end-of-season reduction registration component is invoked to store the bond reduction balance in the end-of-season reduction statement data.

In combination with the above, taking the asset as a bond as an example, as shown in fig. 4, a schematic diagram of a data processing method is provided, and the specific contents are described as follows:

The server acquires target bond value data from the bond value entry table, wherein the target bond value data is the bond value data to be processed, the date of entry is the same day, the life cycle is a valid state, and the processing state is the bond value data to be processed.

When the server determines that the target bond value data exists in the asset value entry sub-table according to the bond value entry number and the bond value entry version number corresponding to the target bond value data, invoking a bond value entry trigger member, wherein the bond value entry trigger member comprises a failure value detail member, a value detail registering member and a season end value registering member, so that the target bond value data is correspondingly processed through the failure value detail member, the value detail registering member and the season end value registering member. Further, after the server calls the failure deduction detail component to correspondingly process the target bond deduction data, the server calls the accounting component, the accounting component comprises an accounting and counteracting component and a position measurement and counteracting component, and the server respectively performs accounting and counteracting processing and position measurement and counteracting processing on the target asset data through the accounting and counteracting component and the position measurement and counteracting component.

When the server determines that the target bond value data does not exist in the asset value entry sub-table according to the bond value entry number and the bond value entry version number corresponding to the target bond value data, the bond value per-subclass data generating means is called, the bond value transaction triggering means includes the bond value per-subclass data generating means, and the server can generate bond metering data (i.e., asset metering data) corresponding to the target bond value data through the bond value per-subclass data generating means. Specifically, the bond-reduction-value per-subclass data generating means may split and meter the total remaining amount of the first asset under the subclass based on the remaining amount of the position and the remaining amount of the asset, thereby obtaining the first asset conversion resource (i.e., bond metering data).

Further, when the server determines that the bond metering data exists in the asset value entry sub-table, the bond metering data is correspondingly processed according to the failure value statement component, the value statement registering component and the end-of-season value statement registering component, and the accounting component is invoked to correspondingly process. And when the server determines that the bond metering data does not exist in the asset value entry sub-table, updating the target asset table to be updated according to the bond metering data.

Based on the description of fig. 4, it can be understood that, compared with the independent processing of bond value data, the present application has a higher and more flexible processing manner, greatly improving maintainability, readability and flexibility by acquiring and registering related value information in association with other components (such as a bond value generation component, a failure value detail component, a value detail registration component, a quaternary end value registration component, a verification cancellation component, a position measurement cancellation component, etc.); the business logic adjustment can be completed without secondary development and application deployment, and the operation risk is reduced.

In one embodiment, as shown in fig. 5, a flow chart for splitting and metering a total remaining amount of a first asset under a major category according to a remaining amount of a position and a remaining amount of the asset is provided, to obtain a first asset transfer-back resource, where the method uses the server 104 in fig. 1 as an example, may include the following steps:

S502, according to the position residual quantity and the asset reserve quantity, obtaining the split proportion of the total reserve of the first asset.

S504, splitting the total reserve of the first asset according to the split proportion of the total reserve of the first asset, and obtaining the first asset transfer-back resource.

The splitting ratio of the total reserved amount of the first asset is used for representing the ratio used when the total reserved amount of the first asset is split, and the splitting ratio of the total reserved amount of the first asset is the ratio of the number of reserved amounts of the asset to the remaining number of positions. For example, if the number of positions remaining is 100 and the number of asset reservations is 50, then the split ratio of the total first asset reservations is 20%. Taking the resource as an example, the asset transfer back amount refers to the reduced value amount of the asset caused by selling transactions, and the first asset transfer back resource is the product of the split ratio and the total holding amount of the first asset.

In summary, the method shown in fig. 5 may obtain the first asset switch back resource, and further update the target asset table to be updated through the first asset switch back resource. Therefore, the asset data are classified and analyzed by combining the asset scenes, and compared with a mode of maintaining the limit in three stages only, the method improves the flexibility of data analysis. In addition, the method of the application can also promote the maintainability of the data, and is convenient for the financial institutions to maintain and manage the target asset data. In addition, since the updated target asset table is the latest data, the accuracy of the financial analysis can be improved when the updated target asset table is subjected to the financial analysis, so that data support with more reference value is provided for the financial institutions.

In one embodiment, as shown in fig. 6, a flow chart of a data processing method is provided, and the method is applied to the server 104 in fig. 1, and may include the following steps:

s602, when the asset scene is a first preset scene, determining a target asset table to be updated as an asset delivery position meter; the first preset scene comprises an asset value reduction new scene.

And S604, updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

In this embodiment, the asset delivery position meter stores position-related data at the time of asset delivery. When the asset scene is an asset value reduction new scene, inquiring the data to be updated meeting the conditions from the asset delivery position meter by combining the asset attribute information so as to update the data to be updated through the first asset transfer back resource and the position residual quantity. The residual position number is the initial reduced value number.

Specifically, taking an asset as a bond as an example, the asset attribute information may include an effective date and an expiration date of a bond reduction value in a current period, the asset delivery position meter includes a position delivery end date, and according to the asset attribute information, when the asset delivery position meter inquires data to be updated on the position delivery end date between the expiration date and the expiration date, the data to be updated is updated by transferring back the first asset to the resource and the position residual quantity, so that the updated asset delivery position meter may be obtained.

In summary, based on the method shown in fig. 6, when the asset scene is an asset value reduction new scene, the target asset table to be updated can be updated according to the asset attribute information, the first asset return resource and the position residual quantity, and since the updated target asset table is the latest data, the accuracy of the financial analysis can be improved when the financial analysis is performed based on the updated target asset table, so that a data support with more reference value is provided for the financial institution.

In one embodiment, the asset base information further includes an asset sell trade number and an asset total number, the asset sell trade number referring to the number of assets in the asset total number that are sold after the trade. Specifically, as shown in fig. 7, a flow chart of a data processing method is provided, and the method, which is applied to the server 104 in fig. 1, may include the following steps:

s702, when the asset scene is updated from the first preset scene to any scene in the second preset scene, splitting the total holding amount of the second asset under the metering subclass of the metering major class according to the number of the asset sales transactions and the total number of the assets, and obtaining a second asset transfer-back resource.

In this embodiment, the second preset scenario includes an asset deduction sell trade calculation scenario and an asset deduction sell trade compensation scenario. Taking the asset as a bond as an example, a bond deduction value selling transaction counting and carrying out a counting and carrying out processing on the bond with the recoverable amount lower than the account value in the selling transaction process. The bond deduction value sell transaction offset scenario is a scenario in which bonds with a recoverable amount lower than their account value are offset during the sell transaction.

The splitting proportion of the total reserve of the second asset refers to a proportion used when the total reserve of the second asset is split, specifically, the splitting proportion of the total reserve of the second asset can be obtained according to the number of the sales transactions of the asset and the total number of the assets, and the splitting proportion of the total reserve of the second asset is a ratio of the number of the sales transactions of the asset to the total number of the assets. And further, according to the split proportion of the total reserve of the second asset and the total reserve of the second asset, obtaining a second asset transfer back resource, wherein the second asset transfer back resource is the product of the split proportion of the total reserve of the second asset and the total reserve of the second asset.

And S704, updating the updated asset delivery position meter according to the second asset transfer back resource and asset attribute information.

In this embodiment, taking the asset as an example in conjunction with S604, when the asset scene is newly added from the bond value, the server has updated the asset delivery position meter, and when the asset scene is updated from the bond value to any one of the bond value selling transaction counting scene and the bond value selling transaction offset scene, the server needs to update the updated asset delivery position meter according to the second asset transfer resource and the asset attribute information, so as to ensure that the corresponding data is synchronously updated when the asset scene is changed, and the timeliness of the data synchronization is ensured.

In summary, based on the method shown in fig. 7, when the asset scene is updated from the first preset scene to any one of the second preset scenes, splitting the total holding amount of the second asset under the metering subclass of the metering main class according to the number of the sold transactions of the asset and the total number of the assets, so as to obtain a second asset transfer-back resource; and updating the updated asset delivery position meter according to the second asset transfer back resource and asset attribute information, so that when the asset scene changes, the corresponding data are synchronously updated, and the timeliness of data synchronization is ensured. And when the updated target asset table is subjected to financial analysis, the accuracy of the financial analysis can be improved, and a data support with a higher reference value is provided for a financial institution.

In one embodiment, as shown in fig. 8, a flowchart of updating an updated asset delivery position meter according to the second asset switch back to the resource and asset attribute information is provided, and the method is applied to the server 104 in fig. 1, for example, and may include the following steps:

s802, obtaining the asset deduction number according to the position residual number and the asset selling transaction number.

Taking the asset as a bond as an example, the asset deduction quantity is used for the quantity of bonds with the recoverable amount lower than the account value of the bond, and specifically, the asset deduction quantity is the difference between the position residual quantity and the selling transaction quantity of the asset.

S804, obtaining the asset value reduction and conservation resources according to the second asset transfer-back resources and the first asset transfer-back resources.

The value-reduced holding resource is used for representing the value-reduced holding amount of the bond, specifically, the value-reduced holding resource is a difference value between a first value-converted resource and a second value-converted resource, and the value-reduced holding amount is a difference value between a first bond-converted amount (i.e., an initial holding stage amount) and a second bond-converted amount.

And S806, updating the updated asset delivery position meter according to the asset attribute information, the asset reduction holding resources and the asset reduction number.

Specifically, taking the asset as a bond as an example, the asset attribute information may further include a bond dereferencing date, the asset delivery position meter further includes a delivery date and an ending date, and specifically, the server queries, according to the asset attribute information, data to be updated having a dereferencing date between the delivery date and the ending date at the updated asset delivery position meter, and further updates the data to be updated by maintaining the resource and the asset dereferencing number through the asset dereferencing.

S808, updating the asset transaction position meter according to the asset attribute information and the second asset switch back resource.

Wherein the asset transaction position meter stores position-related data at the time of the asset transaction. Specifically, taking an asset as a bond as an example, the asset attribute information may further include a bond dereferencing date and a bond first transaction date, and the asset transaction position meter may further include a second transaction date and a transaction date. Specifically, the server queries the updated asset transaction position meter for data to be updated with a reduced date equal to the transaction date according to the asset attribute information, and the first transaction date of the bond is equal to the second transaction date.

In summary, based on the method shown in fig. 8, by updating the asset delivery position meter and updating the updated asset delivery position meter, the accuracy of the financial analysis can be improved when the updated asset delivery position meter and the updated asset delivery position meter are subjected to the financial analysis, so that a data support with a higher reference value is provided for a financial institution.

In view of the foregoing, it can be appreciated that the data processing method provided by the application processes bond value reduction data in different bond value reduction scenes, so that the processing of the bond value reduction data is more flexible, and the value reduction requirements in different bond value reduction scenes are satisfied.

In one embodiment, when an asset scene is updated from the first preset scene to any one of the third preset scenes, obtaining a second asset transition back to the resource; and updating the updated asset delivery position meter according to the second asset switch back resource and the asset attribute information.

Specifically, taking the asset as a bond as an example, the asset attribute information may further include a bond dereferencing date, a bond transaction flag, and the asset delivery position meter may further include a delivery date and an expiration date. Specifically, the server queries the updated asset delivery position meter for data to be updated having a reduced date between the delivery date and the expiration date according to the asset attribute information. If the bond transaction flag is a count, adding a second asset transfer back resource based on the transfer back amount in the data to be updated. And if the bond transaction mark is offset, reducing the second asset transfer-back resource on the basis of the transfer-back amount in the data to be updated.

The third preset scene comprises a bond value selling and paying and charging scene, a bond value selling and charging scene, a bond value period post-adjusting scene, a bond value season end zero clearing and charging scene, a bond expiration value counting and charging scene, a bond expiration value charging scene and the like. The specific description of the third preset scenario may refer to the foregoing content adaptation description, which is not repeated herein.

In connection with fig. 7-8 and the contents shown in fig. 4, as shown in fig. 9, a schematic diagram of a data processing method is provided, and the specific contents are described as follows:

when the server updates the target asset table to be updated according to the bond metering data, the server calls the position metering registration component, and updates the target asset table to be updated according to the bond metering data.

Specifically, when the asset scene is a first preset scene, the server determines that a target asset table to be updated is an asset delivery position meter; wherein the first preset scenario includes an asset decrementing new scenario, the position measurement registration component updates the asset delivery position meter according to the asset attribute information, the first asset switch back resource, and the position remaining quantity.

Further, when the asset scene is updated from the first preset scene to any one of the second preset scenes, the server splits the total second asset holding amount under the metering subclass of the metering major class according to the number of the asset sales transactions and the total number of the assets to obtain second asset transfer-back resources; the server obtains the asset value reduction quantity according to the position residual quantity and the asset selling transaction quantity, and obtains the asset value reduction holding resource according to the second asset conversion resource and the first asset conversion resource, and the position measurement registering component updates the updated asset delivery position meter according to the asset attribute information, the asset value reduction holding resource and the asset value reduction quantity, and updates the asset transaction position meter according to the second asset conversion resource and the asset attribute information.

In combination with the foregoing, in one embodiment, as shown in fig. 10, a flow chart of a data processing method is provided, and taking the application of the method to the server 104 in fig. 1 as an example, the method may include the following steps:

s1002, acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information, and the asset basic information comprises asset attribute information and asset holding amount.

S1004, when the target asset data does not exist in the asset value reduction entry sub-table, obtaining the position surplus quantity corresponding to the asset metering standard from the asset balance table according to the asset attribute information, wherein the asset metering standard is a standard based on a metering major class.

S1006, according to the position residual quantity and the asset reserve quantity, obtaining the split proportion of the total reserve of the first asset.

And S1008, splitting the total reserve of the first asset under the metering major class according to the splitting proportion of the total reserve of the first asset, and obtaining the first asset transfer-back resource.

S1010, when the asset scene is a first preset scene, updating an asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity; the first preset scene comprises an asset value reduction new scene.

S1012, when the asset scene is updated from the first preset scene to any scene in the second preset scene, splitting the total holding amount of the second asset under the metering subclass of the metering major class according to the number of the sold transactions of the asset and the total number of the assets, and obtaining a second asset transfer-back resource; the second preset scene comprises an asset value-reducing selling transaction proposal scene and an asset value-reducing selling transaction compensation scene.

S1014, obtaining the asset deduction number according to the position residual number and the asset selling transaction number.

S1016, obtaining the asset deduction value to keep the resource according to the second asset transfer-back resource and the first asset transfer-back resource.

S1018 updates the updated asset delivery position meter based on the asset attribute information, asset hold resources, and asset decrement amount, and updates the asset transaction position meter based on the second asset switch back to the resources and asset attribute information.

The specific content of S1002-S1018 may be described with reference to the foregoing content adaptation descriptions, which are not repeated here.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a data processing device for realizing the above related data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the data processing device provided below may refer to the limitation of the data processing method hereinabove, and will not be repeated herein.

In one embodiment, as shown in fig. 11, there is provided a data processing apparatus including: a data acquisition module 1102, a data processing module 1104, a determination module 1106, and an update module 1108, wherein: and the data acquisition module is used for acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information. And the data processing module is used for processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data. And the determining module is used for determining a target asset table to be updated according to the asset scene. And the updating module is used for updating the target asset table to be updated according to the asset metering data.

In one embodiment, the asset metering data includes a first asset switch back resource, the asset metering criteria being based on a metering broad class of criteria, the asset base information including asset attribute information and an asset holding amount; the data processing module is further used for: when the target asset data does not exist in the asset value-reducing entry sub-table, obtaining the position residual quantity corresponding to the asset metering standard from the head balance table according to the asset attribute information; and splitting and metering the total reserve of the first asset under the major category according to the position residual quantity and the reserve quantity of the asset, and obtaining a first asset transfer-back resource.

In one embodiment, the data processing module is further configured to: obtaining a split ratio of the total reserved amount of the first asset according to the position residual amount and the reserved amount of the asset; splitting the total reserve of the first asset according to the splitting proportion of the total reserve of the first asset, and obtaining a first asset transfer-back resource.

In one embodiment, the determining module is further configured to determine that the target asset table to be updated is an asset delivery position meter when the asset scene is a first preset scene; wherein the first preset scene comprises an asset value reduction new scene; and the updating module is also used for updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

In one embodiment, the asset base information further includes an asset sales transaction number and an asset total, the update module further configured to: when the asset scene is updated from the first preset scene to any one of the second preset scenes, splitting the total holding amount of the second asset under the metering subclass of the metering major class according to the number of the asset sales transactions and the total number of the assets to obtain a second asset transfer-back resource; the second preset scene comprises an asset value-reducing selling transaction counting scene and an asset value-reducing selling transaction canceling scene; and updating the updated asset delivery position meter according to the second asset transfer back resource and asset attribute information.

In one embodiment, the update module is further configured to: obtaining the asset deduction number according to the position residual number and the asset selling transaction number; obtaining asset value reduction and conservation resources according to the second asset transfer-back resources and the first asset transfer-back resources; updating the updated asset delivery position meter according to the asset attribute information, the asset dereferencing conservation resources and the asset dereferencing quantity; and updating the asset trading position meter according to the second asset switch back resource and the second asset switch back resource.

Each of the modules in the above-described data processing apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 12. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing 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 a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing target asset data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method.

It will be appreciated by those skilled in the art that the structure shown in FIG. 12 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method of data processing, the method comprising:

acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information;

processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data;

determining a target asset table to be updated according to the asset scene;

And updating the target asset table to be updated according to the asset metering data.

2. The method of claim 1, wherein the asset metering data comprises a first asset switch back resource, the asset metering criteria being a metering-major-class-based criteria, the asset base information comprising asset attribute information and an asset inventory number;

and processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data, wherein the method comprises the following steps of:

when the target asset data does not exist in the asset value-reducing entry sub-table, obtaining the position residual quantity corresponding to the asset metering standard from the head balance table according to the asset attribute information;

and splitting the total reserve of the first asset under the metering major class according to the position residual quantity and the reserve quantity of the asset, and obtaining the first asset transfer-back resource.

3. The method of claim 2, wherein the splitting the total reserve of the first asset under the metering category according to the remaining number of positions and the reserve amount of the asset, obtaining the first asset switch-back resource, comprises:

Obtaining a split ratio of the total reserved amount of the first asset according to the position residual amount and the reserved amount of the asset;

and splitting the total reserved amount of the first asset according to the splitting proportion of the total reserved amount of the first asset, and obtaining the first asset transfer-back resource.

4. A method according to claim 2 or 3, characterized in that,

the determining, according to the asset scene, a target asset table to be updated includes:

when the asset scene is a first preset scene, determining that the target asset table to be updated is an asset delivery position meter; wherein the first preset scene comprises an asset value reduction new scene;

and updating the target asset table to be updated according to the asset metering data, including:

and updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

5. The method of claim 4, wherein the asset base information further comprises an asset sales transaction number and an asset count, the method further comprising:

when the asset scene is updated from a first preset scene to any scene in a second preset scene, splitting the total reserve of the second asset under the metering subclass of the metering major class according to the number of sold transactions of the asset and the total number of the assets to obtain a second asset conversion resource; the second preset scene comprises an asset value reduction selling transaction counting scene and an asset value reduction selling transaction canceling scene;

And updating the updated asset delivery position meter according to the second asset transfer back resource and the asset attribute information.

6. The method of claim 5, wherein updating the updated asset delivery location meter based on the second asset switch back resource and the asset attribute information comprises:

obtaining an asset deduction number according to the position residual number and the asset selling transaction number;

obtaining an asset value reduction conservation resource according to the second asset transfer-back resource and the first asset transfer-back resource;

updating the updated asset delivery position meter according to the asset attribute information, the asset dereferencing conservation resource and the asset dereferencing quantity;

the method further comprises the steps of:

and updating an asset transaction position meter according to the asset attribute information and the second asset transfer-back resource.

7. A data processing apparatus, the apparatus comprising:

the data acquisition module is used for acquiring target asset data, wherein the target asset data comprises asset scenes and asset basic information;

the data processing module is used for processing the target asset data according to the asset basic information and the asset metering standard to obtain asset metering data;

The determining module is used for determining a target asset table to be updated according to the asset scene;

and the updating module is used for updating the target asset table to be updated according to the asset metering data.

8. The apparatus of claim 7, wherein the asset metering data comprises a first asset switch back resource, the asset metering criteria being a metering-major-class-based criteria, the asset base information comprising asset attribute information and an asset inventory number; the data processing module is further configured to:

9. The apparatus of claim 8, wherein the data processing module is further configured to:

10. The device according to claim 8 or 9, wherein,

the determining module is further configured to determine that the target asset table to be updated is an asset delivery position meter when the asset scene is a first preset scene; wherein the first preset scene comprises an asset value reduction new scene;

and the updating module is further used for updating the asset delivery position meter according to the asset attribute information, the first asset transfer back resource and the position residual quantity.

11. The apparatus of claim 10, wherein the asset base information further comprises an asset sales transaction number and an asset count, the update module further configured to:

12. The apparatus of claim 11, wherein the update module is further configured to:

13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

14. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

15. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.