CN110689416A

CN110689416A - Accounting data processing method and device, electronic equipment and storage medium

Info

Publication number: CN110689416A
Application number: CN201910827289.7A
Authority: CN
Inventors: 刘勇; 张栋芳; 董健
Original assignee: JD Digital Technology Holdings Co Ltd
Current assignee: JD Digital Technology Holdings Co Ltd
Priority date: 2019-09-03
Filing date: 2019-09-03
Publication date: 2020-01-14

Abstract

The embodiment of the application provides an accounting data processing method and device, electronic equipment and a storage medium. The accounting data processing method provided by the embodiment of the application comprises the following steps: the method comprises the steps of obtaining financial affair flow data corresponding to a loan order, wherein the financial affair flow data are financial affair change data in a current settlement period, determining second financial affair data according to the financial affair flow data and first financial affair data, wherein the first financial affair data are financial affair settlement data of the loan order in the previous settlement period, the second financial affair data are financial settlement data of the loan order in the current settlement period, and finally sending the second financial affair data. The accounting data processing method provided by the embodiment of the application can meet the accounting data processing requirements of different sponsors, thereby greatly reducing the time cost of the sponsor for accessing the platform and improving the access efficiency.

Description

Accounting data processing method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to an accounting data processing method and apparatus, an electronic device, and a storage medium.

Background

With the rapid development of digital financial technology, financial operations performed by users through internet and information technology means are increasingly diversified, for example, actions such as credit loan and consumption installment can be performed through an online financial platform.

For the online financial platform, the fund needs to strictly check and manage the financial operation of the user, so the fund needs to process the account of the online financial platform every day. At present, the account checking mode is usually that the financial platform directly transmits all the running information to the fund so as to enable the fund producer to carry out self-processing.

In the process of implementing the application, the inventor finds that for the processing mode, although only the financial platform bottom layer financial affair flow data needs to be transmitted to the suppliers, each supplier needs to customize a set of data processing system independently, which wastes time and labor, and greatly increases the time cost for the suppliers to access the financial platform.

Disclosure of Invention

The embodiment of the application provides an accounting data processing method, an accounting data processing device, electronic equipment and a storage medium, so as to solve the technical problem that time cost for each sponsor to access a financial platform is too high.

In a first aspect, an embodiment of the present application provides an accounting data processing method, including:

acquiring financial flow data corresponding to the loan bill, wherein the financial flow data is financial change data in the current settlement period;

determining second financial data according to the financial management data and the first financial data, wherein the first financial data is financial settlement data of the loan bill in the last settlement period, and the second financial data is financial settlement data of the loan bill in the current settlement period;

and sending the second accounting data.

In one possible design, the determining second accounting data from the accounting flow data and the first accounting data includes:

and sequentially accumulating all the flow data in the accounting flow data in all the corresponding data in the first accounting data to obtain the second accounting data.

In one possible design, after the determining second accounting data according to the accounting running data and the first accounting data, the method further includes:

classifying the loan bills in the loan bill pool to be settled according to a preset financial classification rule;

determining summary financial data corresponding to a preset financial type according to the second financial data of all the loan notes of the preset financial type;

and sending the summarized accounting data.

when the second financial data in the loan bill is unsettled data, respectively storing the loan bill in a cache system and a historical database;

and when the second financial data in the loan bill is settled data, storing the loan bill in the historical database, and clearing the loan bill from the cache system.

In one possible design, the obtaining the accounting flow data corresponding to the loan order includes:

and acquiring the financial assembly data according to the identification information to be settled in the cache system, wherein the identification data to be settled is the identification information corresponding to the outstanding loan bill.

In a possible design, after the acquiring the accounting flow data according to the identification information to be settled in the cache system, the method further includes:

and when the loan bill corresponding to the identification information to be settled does not exist in the cache system, acquiring the loan bill from the historical database according to the identification information to be settled.

In one possible design, the settlement period is 24 hours.

In a second aspect, an embodiment of the present application further provides an accounting data processing apparatus, including:

the flow acquisition module is used for acquiring the accounting flow data corresponding to the loan order, wherein the accounting flow data is the accounting change record data in the current settlement period;

the accounting determination module is used for determining second accounting data according to the accounting running data and the first accounting data, wherein the first accounting data is the accounting settlement data of the loan bill in the previous settlement period, and the second accounting data is the accounting settlement data of the loan bill in the current settlement period;

and the accounting sending module is used for sending the second accounting data.

In one possible design, the accounting determination module is specifically configured to:

In one possible design, the accounting data processing apparatus further includes:

the financial classification module is used for classifying the loan bills in the loan bill pool to be settled according to the preset financial classification rule;

the accounting determination module is further configured to determine, according to the second accounting data of all the loan tickets of a preset accounting type, summarized accounting data corresponding to the preset accounting type;

the accounting sending module is further configured to send the summarized accounting data.

the financial storage module is used for respectively storing the loan statement in a cache system and a historical database; alternatively, the first and second electrodes may be,

the system is used for storing the loan order in the historical database and clearing the loan order from the cache system.

In one possible design, the pipeline acquisition module is specifically configured to:

and the data acquisition module is used for acquiring the loan bill from the historical database according to the identification information to be settled.

In one possible design, the settlement period is 24 hours.

In a third aspect, the present application further provides an electronic device, including:

a processor; and

a memory for storing a computer program for the processor;

wherein the processor is configured to implement any one of the possible methods of the first aspect by executing the computer program.

In a fourth aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program of instructions for implementing any one of the possible methods of the first aspect when executed by a processor.

According to the accounting data processing method, the accounting data processing device, the electronic device and the storage medium, accounting running data corresponding to a loan order in a current accounting period is obtained first, then the accounting data in the current accounting period is determined according to the accounting data in a previous accounting period and the obtained accounting running data in the current accounting period, and the settled accounting data is configured into different types of accounting file formats to be output, so that the accounting data processing requirements of different parties are met, the time cost of accessing a platform by the parties is greatly reduced, and the access efficiency is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is an application scenario diagram of an accounting data processing method provided in an embodiment of the present application;

fig. 2 is a diagram illustrating an exemplary accounting structure in a platform server according to an embodiment of the present application;

fig. 3 is a schematic flow chart diagram illustrating a method of accounting data processing according to an exemplary embodiment of the present application;

FIG. 4 is a schematic illustration of a loan order processing flow, shown herein, in accordance with an exemplary embodiment;

fig. 5 is a schematic flow chart diagram illustrating a method of accounting data processing according to another exemplary embodiment of the present application;

fig. 6 is a schematic block diagram of an accounting data processing apparatus according to an exemplary embodiment of the present application;

fig. 7 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to another exemplary embodiment;

fig. 8 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to still another exemplary embodiment;

fig. 9 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to yet another exemplary embodiment;

fig. 10 is a schematic structural diagram of an electronic device shown in the present application according to an exemplary embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In the prior art, for financial platform accounting data processing, only the bottom layer flow data is usually stored in the database of the platform server. When the financial data is processed, the flow data of the bottom layer is directly transmitted to the bank server to be processed by the bank server, but due to the difference of the data generated by different platforms, the bank still needs to research and develop a processing program aiming at the financial data of each platform, so that time and labor are wasted, and the time cost of the access of a seller is greatly increased.

Or, the bank server can also obtain the corresponding accounting file by directly querying the database of the platform server. However, when the checking operation is performed, the account documents (e.g., loan bills, installment lines) to be obtained still change dynamically, which may cause inaccurate results. In addition, the direct database lookup method has a large access burden on the database, and the database is prone to be rushed.

In view of the above problems, an embodiment of the present application provides an accounting data processing method, which may include obtaining accounting running data corresponding to a loan statement in a current accounting period, then determining the accounting data in the current accounting period according to the accounting data in a previous accounting period and the obtained accounting running data in the current accounting period, and configuring a root of the accounting data after accounting into different types of accounting file formats for output, so as to meet the accounting data processing requirements of different sponsors, thereby greatly reducing the time cost for accessing a sponsor into a platform, and improving the access efficiency. The positioning method is described in detail below with several specific implementations.

Fig. 1 is an application scenario diagram of an accounting data processing method according to an embodiment of the present application. As shown in fig. 1, the accounting data processing method provided by this embodiment is applied to a platform server 100, and a database is disposed in the platform server 100 and is used for storing loan statement data and stream data.

Fig. 2 is a diagram illustrating an example of an accounting structure in a platform server according to an embodiment of the present application. As shown in fig. 2, the accounting structure in the database of the platform server may be change record data including various types of accounting data, such as accounting types of global purchases, education, tourism, and renting houses, and also such accounting types of loans, interest counts, refunds, and repayment. Specifically, the "education, XXXX, XX month XX, XXX yuan", or "loan, XXXX year XX month XX, XXX yuan", or "interest, XXXXX year XX month XX, XXX yuan", may be mentioned. It should be noted that, at least, the above description is provided for illustrating the accounting data used in the embodiments of the present application, and is not particularly limited.

With continued reference to fig. 1, the platform server 100 may access a plurality of external servers, such as the sponsor server 200, and the platform server 100 may further restore the current accounting change behavior of the client by replaying the accounting streamline data in the current settlement period at a fixed time node (for example, 0 am) according to a settlement period (for example, 24 hours) with a preset duration in addition to recording the accounting streamline data, so as to settle the accounting data in the current settlement period, and to output the accounting settlement data uniformly according to a preset format. It should be understood that, for replaying the accounting running data in the current settlement period, the running data in the accounting running data recorded in the current settlement period may be sequentially accumulated in the corresponding data in the accounting data in the previous settlement period to obtain the accounting data in the current settlement period. For example, some data in the accounting running data recorded in the current settlement period is sequentially a data, B data, and C data according to the chronological order, and the accounting data in the previous settlement period is X data. The data a, the data B, and the data C may be sequentially accumulated on the basis of the data X, so that the accounting data in the current settlement period is obtained as the data Y.

It should be noted that after receiving the accounting data in the unified format, the sponsor server 200 may perform further operations using the accounting data, for example, the bank server performs reconciliation. Specifically, the bank needs information such as the current day general ledger, loan lists which are not settled by the date of the data and are settled on the current day, the variable installments on the current day, and the rest of other installments. The accounting data processing method provided by the embodiment can accurately calculate the data required by each sponsor, and can customize the configuration according to the requirements of the sponsor.

Fig. 3 is a flowchart illustrating an accounting data processing method according to an exemplary embodiment of the present application. As shown in fig. 3, the accounting data processing method provided in this embodiment includes:

step 101, acquiring accounting running data corresponding to the loan order.

Specifically, in each settlement period, accounting change data in the current settlement period is recorded and stored, so that accounting flow data is formed. And, each loan order is created, a unique loan order identification code is assigned, which may be, for example, a loan order number that identifies the corresponding loan order. And for each account change data, the corresponding loan order number is recorded, so that the accounting running data is acquired according to the loan order number when settlement is carried out.

However, it should be noted that the above-mentioned manner of obtaining the accounting chronological data corresponding to the loan order through the loan order number is only one possible implementation manner, and the obtaining and/or the screening of the corresponding accounting chronological data may also be performed according to the type of the loan order or other attribute information according to the specific settlement requirement, and in this embodiment, the method is not limited in particular.

It should be further understood that the loan order in this embodiment may be any form of file that records the user's accounting flow data, where the recorded accounting flow may be loan, repayment, consumption, installment, interest, penalty, and the like, and in this embodiment, the specific form of the loan order is not limited.

And step 102, determining second accounting data according to the accounting flow data and the first accounting data.

Specifically, the second accounting data may be determined according to the accounting running data and the first accounting data, where the first accounting data is the accounting settlement data of the previous settlement period loan order, and the second accounting data is the accounting settlement data of the current settlement period loan order.

Optionally, each item of flow data in the accounting flow data may be sequentially accumulated in each corresponding item of data in the first accounting data to obtain the second accounting data.

For example, the accounting flow data of the current period includes 10 flow data (for example, payment data, accounting data, refund data, etc.), and the 10 flow data may be arranged in the generated time sequence. When accounting data is settled, the 10 items of flow data can be sequentially accumulated on the basis of the first accounting data of the previous settlement period, so that the accounting processing behavior of the client in the current settlement period is restored, and the second accounting data after the current settlement period is finished is obtained.

And step 103, sending second accounting data.

The second accounting data may be accounting settlement data including one preset format, or may be accounting settlement data including a plurality of preset formats. It should be noted that the second accounting data may be determined according to the data processing requirement of a specific sponsor, and the specific form of the second accounting data is not specifically limited in this embodiment.

After determining the second accounting data according to the accounting flow data and the first accounting data, the second accounting data may be sent to a corresponding sponsor platform for subsequent processing, such as reconciliation processing.

In the embodiment, the accounting running data corresponding to the loan bill in the current accounting settlement period is obtained first, then the accounting settlement data in the current settlement period is determined according to the accounting settlement data in the previous settlement period and the obtained accounting running data in the current settlement period, and the settled accounting settlement data is configured into different types of accounting file formats for output, so as to meet the accounting data processing requirements of different suppliers, thereby greatly reducing the time cost for accessing the platform by the suppliers and improving the access efficiency.

Fig. 4 is a schematic illustration of a loan order processing flow, in accordance with an exemplary embodiment, based on the embodiment shown in fig. 3. As shown in fig. 4, in the present embodiment, the processing of the loan order mainly includes: obtaining an unsettled loan bill, performing financial settlement and processing the loan bill after settlement.

Specifically, the non-settlement loan order may be obtained from a to-be-settled loan order pool, wherein the to-be-settled loan order pool includes loan orders which are not settled in the last accounting settlement period and loan orders which are running in the current accounting settlement period.

Wherein the outstanding loan order may be stored in a cache system, while all the loan orders are stored in a history database. When the non-settlement loan bill is obtained, the non-settlement loan bill can be directly obtained from the caching system according to the identification information (such as the number of the loan bill) to be settled. And when the corresponding loan bill can not be obtained from the cache system according to the identification information to be settled, the loan bill can be obtained from the historical database according to the identification information to be settled.

By arranging the cache system and the historical database, the processing efficiency of the financial data can be improved by directly obtaining the unsettled loan bill from the cache system while the integrity of the loan bill data storage is ensured.

Furthermore, in view of the storage timeliness in the cache system for the identification information to be settled, a storage update mechanism may be set up according to a time rule. For example, the identification information to be settled corresponding to the unsettled loan ticket may be stored in the cache system for a preset time, for example: three days. Within the three days, if the unsettled loan bill is cleared, the identification information to be settled is directly cleared from the cache system; and in the three days, if the unsettled loan bill is not settled, but corresponding accounting flow data exists, calculating the number of failure days by taking the latest flow data generation time as a new starting point; and in the three days, if the unsettled loan order is not cleared and corresponding accounting flow data is not generated, the identification information to be settled is also cleared in the cache system.

After the corresponding to-be-settled bill of loan is obtained from the to-be-settled bill pool corresponding to the current accounting settlement period, the current accounting settlement period can be settled according to the recorded accounting flow data. The second accounting data may be obtained by sequentially accumulating various items of the accounting data (for example, loan, repayment, overdue, refund, and interest) in the first accounting data. Wherein, for the loan, the creation of a new loan order or an extension order can be carried out; for repayment, the part which is not yet paid in the accounting data can be reduced, and the part which is yet paid can be increased; for overdue, penalty is given, and the change can be carried out along with the increase of the number of overdue days; for refund, the amount of the part which is not yet paid is reduced; for interest, interest is increased corresponding to interest and interest on the day. However, the accounting processing behaviors corresponding to the above-mentioned items of running data are merely exemplified, and in this embodiment, the specific behaviors of the accounting processing are not specifically limited.

After the accounting data settlement is completed, corresponding retrofitful work needs to be carried out, namely, the loan bill is correspondingly processed.

Specifically, it may be determined whether the second financial data in the loan order is settled data, and if the determination result is no, the loan order is stored in the cache system and the historical database, respectively, but if the determination result is yes, the loan order is stored in the historical database, and the loan order is removed from the cache system. Note that, if the outstanding principal, interest, and penalty in the loan bill are all 0, the loan bill is regarded as a settlement. If not, this continues to keep the outstanding loan statement data in the caching system, not ready for accounting settlement for the next accounting settlement period. Therefore, only settled loan bill data is stored in the cache system, and the excessive data volume in the cache system is effectively avoided, so that the settlement efficiency of the financial data is ensured.

Fig. 5 is a flowchart illustrating an accounting data processing method according to another exemplary embodiment of the present application. As shown in fig. 5, the accounting data processing method provided in this embodiment includes:

step 201, obtaining the accounting running data corresponding to the loan order.

Step 202, determining second accounting data according to the accounting flow data and the first accounting data.

It should be noted that the specific implementation manners of steps 201 to 202 in this embodiment are similar to the specific implementation manners of steps 101 to 102 in the embodiment shown in fig. 3, and therefore, no further description is given in this embodiment.

And step 203, classifying the loan bills in the to-be-settled loan bill pool according to preset financial classification rules.

In order to output corresponding financial settlement data according to different financial types, the loan bills in the loan bill pool to be settled can be classified according to preset financial classification rules. For example: the accounting types may include forms of car loan, house loan, and consumption loan, and may also include short-term loans or long-term loans.

And step 204, determining the summarized financial data corresponding to the preset financial type according to the second financial data of all the loan bills of the preset financial type.

Then, according to the second accounting data of all the loan statements of the preset accounting type, determining the summarized accounting data corresponding to the preset accounting type, for example: short-term loan fund issuing, real-time short-term normal loan principal returning, advance short-term loan principal advancing and the like. Therefore, the sponsor can perform reconciliation operation on the summarized accounting data for each dimension.

Step 205, sending the second accounting data and/or the aggregated accounting data.

The second accounting data and the summarized accounting data may include accounting settlement data in a preset format, or may include accounting settlement data in multiple preset formats. It should be noted that the second accounting data may be determined according to the data processing requirement of a specific sponsor, and the specific form of the second accounting data and the summarized accounting data is not specifically limited in this embodiment.

After determining the second accounting data and the summarized accounting data, the second accounting data and the summarized accounting data may be sent to a corresponding sponsor platform for subsequent processing, such as subsequent reconciliation processing.

To illustrate the technical effect of the accounting data processing method provided by this embodiment, it can be compared with an accounting processing method of directly transmitting the flow water data:

the accounting data processing method provided by any of the above embodiments may restore the current accounting change behavior of the client by replaying the accounting running data in the current settlement period, determine the accounting data in the current settlement period according to the accounting data in the previous settlement period and the obtained accounting running data in the current settlement period, and configure the settled accounting data root into different types of accounting file formats for output, so as to meet the accounting data processing requirements of different parties. Compared with the mode of directly transmitting the accounting processing of the stream data, the method can greatly reduce the time cost of accessing the resource and reduce the development and maintenance cost. And the output accounting data can be configured into different types of file formats according to requirements. In addition, by setting a fixed settlement period, the problem that the data processing result is inaccurate because the data is still updated when the cross-period settlement is carried out at present can be avoided.

Fig. 6 is a schematic structural diagram of an accounting data processing apparatus according to an exemplary embodiment of the present application. As shown in fig. 6, the accounting data processing apparatus 300 provided in this embodiment includes:

the flow acquisition module 301 is configured to acquire financial flow data corresponding to a loan order, where the financial flow data is financial change record data in a current settlement period;

the accounting determining module 302 is configured to determine second accounting data according to the accounting running data and the first accounting data, where the first accounting data is accounting settlement data of the loan statement in a previous settlement period, and the second accounting data is accounting settlement data of the loan statement in a current settlement period;

an accounting sending module 303, configured to send the second accounting data.

In one possible design, the accounting determination module 302 is specifically configured to:

On the basis of the embodiment shown in fig. 6, fig. 7 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to another exemplary embodiment. As shown in fig. 7, the accounting data processing apparatus 300 according to the present embodiment further includes:

the accounting classification module 304 is configured to classify the loan bills in the to-be-settled loan bill pool according to a preset accounting classification rule;

the accounting determination module 302 is further configured to determine, according to the second accounting data of all the loan statements of a preset accounting type, summarized accounting data corresponding to the preset accounting type;

the accounting sending module 303 is further configured to send the summarized accounting data.

On the basis of the embodiment shown in fig. 6, fig. 8 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to still another exemplary embodiment. As shown in fig. 8, the accounting data processing apparatus 300 according to the present embodiment further includes:

the accounting storage module 305 is configured to store the loan statement in a cache system and a history database, respectively; alternatively, the first and second electrodes may be,

In one possible design, the pipeline acquiring module 301 is specifically configured to:

On the basis of the embodiment shown in fig. 6, fig. 9 is a schematic structural diagram of an accounting data processing apparatus shown in the present application according to yet another exemplary embodiment. As shown in fig. 9, the accounting data processing apparatus 300 according to the present embodiment further includes:

and the data acquisition module 306 is configured to acquire the loan bill from the history database according to the identification information to be settled.

In one possible design, the settlement period is 24 hours.

It should be noted that the accounting data processing apparatus provided in the embodiments shown in fig. 6 to 9 may be used to execute the method provided in any of the above embodiments, and the specific implementation manner and the technical effect are similar and will not be described again here.

According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.

Fig. 10 is a schematic structural diagram of an electronic device shown in the present application according to an exemplary embodiment. As shown in FIG. 10, the electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.

As shown in fig. 10, the electronic apparatus includes: one or more processors 401, memory 402, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 10, one processor 401 is taken as an example.

Memory 402 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the accounting data processing method provided by the present application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the accounting data processing method provided by the present application.

The memory 402, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the accounting data processing method in the embodiment of the present application (for example, the pipeline acquisition module 301, the accounting determination module 302, the accounting sending module 303, the accounting classification module 304, the accounting determination module 305, the accounting storage module 306, the storage determination module 307, and the data acquisition module 308 shown in fig. 6-9). The processor 401 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the accounting data processing method in the above method embodiment.

The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area can store data created by use of the electronic device provided according to the embodiment of the application, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to provide electronic devices in accordance with embodiments of the present application via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The electronic device provided by the embodiment of the application may further include: an input device 403 and an output device 404. The processor 401, the memory 402, the input device 403 and the output device 404 may be connected by a bus or other means, and fig. 10 illustrates an example of a connection by a bus.

The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device provided by embodiments of the present application, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, and other input devices. The output devices 404 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

According to the technical scheme of the embodiment of the application, the accounting running data corresponding to the loan bill in the current accounting period is obtained firstly, then the accounting data in the current accounting period is determined according to the accounting data in the previous accounting period and the obtained accounting running data in the current accounting period, and the accounting data after settlement is configured into different types of accounting file formats to be output, so that the accounting data processing requirements of different parties are met, the time cost of accessing the party to the platform is greatly reduced, and the access efficiency is improved.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.

Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An accounting data processing method, comprising:

and sending the second accounting data.

2. The method of claim 1, wherein the determining second accounting data from the accounting flow data and the first accounting data comprises:

3. The method of claim 2, wherein after determining second accounting data from the accounting flow data and the first accounting data, further comprising:

and sending the summarized accounting data.

4. The method of any of claims 1-3, wherein after determining second accounting data from the accounting flow data and the first accounting data, further comprising:

5. The accounting data processing method of claim 4, wherein the obtaining of the accounting flow data corresponding to the loan order comprises:

6. The accounting data processing method of claim 5, wherein after the acquiring the accounting flow data according to the identification information to be settled in the cache system, the accounting data processing method further comprises:

7. An accounting data processing method according to any one of claims 1-3 wherein the settlement period is 24 hours.

8. An accounting data processing apparatus, comprising:

9. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.