CN115936885A

CN115936885A - Method, device, equipment and medium for real-time execution of clearing task

Info

Publication number: CN115936885A
Application number: CN202310221904.6A
Authority: CN
Inventors: 洪磊明; 胡春晖; 李向荣; 麦锦锐; 聂山峰; 王锦辉; 陈敬根
Original assignee: Shenzhen Huarui Distributed Technology Co ltd
Current assignee: Shenzhen Huarui Distributed Technology Co ltd
Priority date: 2023-03-09
Filing date: 2023-03-09
Publication date: 2023-04-07

Abstract

The invention relates to the technical field of data processing, and provides a method, a device, equipment and a medium for executing a clearing task in real time, wherein the method comprises the following steps: performing real-time clearing processing on daytime clearing data based on a pre-constructed clearing architecture to obtain a first processing result; after detecting that the closing of the quotation, auditing the first processing result; performing date-end clearing processing on non-daytime-processed clearing source data in the data to be processed based on the clearing architecture to obtain a second processing result and obtain a second processing result; and integrating the first processing result and the second processing result to obtain a clearing result. The invention can combine the daytime real-time liquidation and the high concurrent liquidation to realize all-weather real-time liquidation, avoids blockage caused by carrying out mass liquidation at the same time at the end of the day, simultaneously realizes the decoupling of a data source and a liquidation processing process by utilizing a pre-constructed liquidation framework, and further improves the execution efficiency of liquidation processing by adopting atomic segmentation and high concurrent processing of liquidation tasks.

Description

Method, device, equipment and medium for real-time execution of clearing task

Technical Field

The invention relates to the technical field of data processing, in particular to a method, a device, equipment and a medium for executing a clearing task in real time.

Background

In a traditional clearing mode, a single mode of one-time clearing at the end of a day is generally adopted, and for a dealer with a large data volume, the problems of insufficient time window for mass transaction delivery, long time consumption, difficult error positioning and the like can be met in the mode of one-time clearing at the end of the day, and the problems can be positioned and adjusted only by a complicated manual operation process, so that the operation is extremely inconvenient.

Moreover, the traditional old technical architecture cannot respond to new business requirements, and even the low-frequency remote business still needs a clearing personnel to record clearing items in a papery form, so that the business cannot conform to the development of the times and is continuously innovated. The old business architecture model cannot decouple systems such as transaction, fund and account, so that the transaction and settlement are mutually involved, the respective optimization is difficult, the optimization and transformation cannot be performed aiming at the conditions of complex processing and large data volume, the running speed is slow, the operation is not smooth, the error is frequently adjusted manually to adapt to the old program, and the real-time clearing cannot be realized.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a method, an apparatus, a device and a medium for performing a clearing task in real time, which are intended to solve the problem of poor performance of the clearing task.

A clearing task real-time execution method comprises the following steps:

identifying daytime clearing data from the to-be-processed data generated in real time;

carrying out real-time clearing processing on the daytime clearing data based on a pre-constructed clearing framework to obtain a first processing result;

after the closing is detected, auditing the first processing result;

performing non-daytime-processing clearing source data in the data to be processed on the basis of the clearing architecture to obtain a second processing result;

and integrating the first processing result and the second processing result to obtain a clearing result.

According to a preferred embodiment of the present invention, the identifying daytime liquidation data from the data to be processed generated in real time comprises:

and acquiring real-time full payment system data from the data to be processed, and taking the data as the daytime clearing data.

According to a preferred embodiment of the present invention, the performing real-time clearing processing on the daytime clearing data based on the pre-established clearing architecture to obtain a first processing result includes:

data source downloading is carried out on the daytime clearing data through a data source processing module in the clearing framework, and data to be cleared are obtained;

performing data source conversion on the data to be cleared based on a predefined dictionary and table structure through the data source processing module, and loading the converted data to be cleared to a memory to obtain converted data;

identifying data with preset in-place identification from the converted data through a clearing processing module in the clearing framework, and automatically triggering clearing processing on the identified data according to a preset fragment dimension when one piece of data is identified to obtain first data;

performing financial processing on the first data through the clearing processing module to obtain second data;

performing asset data checking processing on the second data through the liquidation processing module to obtain third data;

performing daily settlement processing on the third data through the clearing processing module to obtain a first processing result;

wherein the clearing architecture is built based on a high concurrency clearing engine.

According to a preferred embodiment of the present invention, the executing of the data source download on the daytime clearing data by the data source processing module in the clearing architecture comprises:

when detecting that the data meet the preset downloading condition, automatically triggering the downloading of the detected data;

wherein the downloading of the detected data is performed in parallel, and each downloading process handles the downloading of only one piece of data at the same time.

According to the preferred embodiment of the present invention, the automatically triggering, according to the preset fragment dimension, the sorting processing of the identified piece of data includes:

the clearing data matching and the cost calculation are carried out on the data by utilizing a clearing checking calculation module in the clearing framework to obtain intermediate data;

acquiring transaction clearing running water and non-transaction running water data from the intermediate data by using a data auditing module in the clearing architecture, and checking the transaction clearing running water and the non-transaction running water data with data of a preset organization;

and writing the data with the consistency into a voucher change table by utilizing a preprocessing module in the clearing structure.

acquiring a father node obtained by fragmenting the data according to the preset fragmentation dimension and a child node corresponding to the father node;

and copying the sorting processing logic configured by the father node at the child node to perform sorting processing.

According to a preferred embodiment of the present invention, the auditing the first processing result includes:

acquiring a real-time voucher balance change table and a real-time fund balance change table in the first processing result;

acquiring a preset universal flow meter;

comparing the data in the real-time instrument fund balance change table and the data in the real-time fund balance change table with the data in the universal flow meter to obtain a comparison result;

determining the data with the same comparison result as the data passing the audit; or alternatively

And determining the data with different comparison results as the data which does not pass the audit.

A clearing task real-time executing apparatus, the clearing task real-time executing apparatus comprising:

the identification unit is used for identifying daytime clearing data from the data to be processed generated in real time;

the clearing unit is used for carrying out real-time clearing processing on the daytime clearing data based on a pre-constructed clearing framework to obtain a first processing result;

the auditing unit is used for auditing the first processing result after detecting the closing of the end disk;

the clearing unit is also used for carrying out day-end clearing processing on non-day-processing clearing source data in the data to be processed based on the clearing architecture to obtain a second processing result;

and the integration unit is used for integrating the first processing result and the second processing result to obtain a clearing result.

A computer device, the computer device comprising:

a memory storing at least one instruction; and

and the processor executes the instructions stored in the memory to realize the real-time execution method of the clearing task.

A computer-readable storage medium having stored therein at least one instruction for execution by a processor in a computer device to implement the clearing task real-time execution method.

According to the technical scheme, all-weather real-time clearing can be realized by combining the daytime real-time clearing and the high-concurrency clearing at the end of the day, the blockage caused by a large amount of clearing at the same time at the end of the day is avoided, meanwhile, the decoupling of the data source and the clearing processing process is realized by utilizing the pre-constructed clearing framework, and the execution efficiency of the clearing processing is further improved by the high-concurrency clearing processing.

Drawings

FIG. 1 is a flow chart of a preferred embodiment of the method for real-time execution of a clearing task of the present invention.

FIG. 2 is a functional block diagram of a preferred embodiment of the clearing task real-time performing apparatus of the present invention.

FIG. 3 is a schematic structural diagram of a computer device for implementing a method for real-time execution of a liquidation task according to a preferred embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.

FIG. 1 is a flow chart of a preferred embodiment of the method for real-time execution of a clearing task of the present invention. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.

The method for executing the clearing task in real time is applied to one or more computer devices, which are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware of the computer devices includes but is not limited to a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device may be any electronic product capable of performing human-computer interaction with a user, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an Internet Protocol Television (IPTV), an intelligent wearable device, and the like.

The computer device may also include a network device and/or a user device. The network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of hosts or network servers.

The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.

Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

The Network in which the computer device is located includes, but is not limited to, the internet, a wide area Network, a metropolitan area Network, a local area Network, a Virtual Private Network (VPN), and the like.

And S10, identifying daytime clearing data from the data to be processed generated in real time.

In this embodiment, the identifying daytime liquidation data from the data to be processed generated in real time includes:

and acquiring Real Time Gross payment (RTGS) data from the data to be processed, and taking the data as the daytime clearing data.

For example: and if the RTGS service identified in the data to be processed has real-time return data of a preset mechanism, real-time clearing can be carried out in the daytime according to the order and the relevant return data. Specifically, the daytime clearing data directly takes declaration information of orders of the transaction system and information returned by the transaction to carry out real-time clearing of coupons and funds, and freezing limitation is carried out on corresponding coupon funds before entrusting transaction.

The preset institution is an institution registering and settling the certificate transaction.

In the above embodiment, the downloading and obtaining of the real-time data source is automatically triggered to complete the loading of the daytime clearing data.

And S11, carrying out real-time clearing processing on the daytime clearing data based on a pre-constructed clearing framework to obtain a first processing result.

The traditional clearing system has the disadvantages that transaction settlement is tightly coupled, so that transaction and settlement are mutually involved, respective optimization is difficult, complicated processing and optimization transformation cannot be performed under the condition of large data volume, the operation speed is low, the operation is not smooth, errors often need to be manually adjusted to adapt to old programs, and the system is extremely inconvenient.

In this embodiment, the clearing architecture may include, but is not limited to: a data source processing module, a clearing processing module and the like.

The data source processing module is decoupled from the clearing processing module, so that the error of part of data sources can not influence the single execution of other services, and single service execution operation is supported, so that time nodes are staggered to ensure the quick execution of clearing, and the service isolation execution also ensures the data rollback and the adjustment of errors to a greater extent. Specifically, after the loaded data source is written into the source table, the processing result of each source table data in the clearing process can be tracked in real time, and the error result can be positioned according to the processing mark to perform positioning adjustment.

Specifically, the performing real-time clearing processing on the daytime clearing data based on the pre-constructed clearing architecture to obtain a first processing result includes:

identifying data with preset in-place identification from the converted data through a clearing processing module in the clearing framework, and automatically triggering clearing processing on the identified data according to preset fragment dimensions when one piece of data is identified to obtain first data;

performing accounting processing on the first data through the clearing processing module to obtain second data;

performing asset data checking processing on the second data through the clearing processing module to obtain third data;

The method has the advantages that the dictionary and table structures are defined in advance, a standardized data source table system is provided, the defined dictionary and table structures can cover data structures of all services, high concurrency and high availability of programs for subsequent clearing processing are adapted to a greater extent, loading concurrency control and warehousing concurrency control are adopted, and strict and efficient execution of a data loading process is guaranteed.

And when one piece of data is identified, automatically triggering the sorting processing of the identified piece of data according to the preset fragment dimension, and further realizing the real-time processing in a multi-batch circulation clearing mode in daytime. For example: and tracking the processing mark of each piece of data aiming at the clearing data which is successfully loaded into the source table, automatically triggering clearing execution on the data which is in place, continuously scanning unprocessed source data, realizing multi-batch clearing under a staggered mechanism, and ensuring the maximum efficiency under the time difference.

Wherein the executing of the data source download of the daytime clearing data by the data source processing module in the clearing architecture comprises:

Specifically, each task executes parallel processing, which is efficient and supports automatic trigger configuration, and a lock mechanism is adopted to prevent multiple concurrent parties from causing queue disorder and rate reduction, i.e., on the basis of multi-process high concurrency, waste of resources caused by simultaneous processing of one piece of data by multiple processing resources is effectively prevented.

Wherein, the automatic triggering of the sorting processing of the identified data according to the preset slicing dimension comprises:

acquiring transaction clearing flow data and non-transaction flow data from the intermediate data by using a data auditing module in the clearing framework, and checking the transaction clearing flow data and the non-transaction flow data with data of a preset organization;

In the embodiment, the multi-service batch execution is supported through the fragmentation, the execution processes of the tasks are not influenced mutually, and the error adjustment and the re-execution after the failure are supported.

For example: each clearing program (which can be divided according to business dimensions) core completes standard streamlining of transaction orders and preset organization details, clears and divides the change data of the voucher, prepares for the financial processing of voucher balance updating, and relates to the basic auditing action of clearing data, and the clearing template flow is as follows:

ClearProcesss {

beforeClear ()// custom pre-liquidation preparation

loadData ()// load order and mid-page data (no order data may not load order)

check ()// checking whether a substantial match exists between the order and the neutral data

Nomalizeflow ()// generating a general clearing flow

Generation funding change from Universal stream ()// Generation funding Change from Universal stream

Generation SeucChange ()// Change of securities based on Universal stream

afterClear ()// subsequent work to customize completion scores

}。

and copying the sorting processing logic configured by the father node at the child node for sorting processing.

In the embodiment, the fragmented subtask flow copies the clearing processing logic configured by the parent node, and the parallel execution is more efficient and faster.

The preset fragment dimension can be a service dimension and the like, the service fragment dimension coverage parameter is wide, the preset fragment dimension is mainly reflected in markets, delivery modes, service codes and the like, and the preset fragment dimension can also be set to securities classification and securities mark, such as common buying and selling guarantee delivery service in a certain market. After the fragment is carried out based on the service dimension, the method can support the clearing concurrence, and can support the clearing of multi-legal, multi-currency and multi-market transaction, thereby realizing the fine management of payable and limited sale.

When the second data is subjected to asset data checking through the clearing processing module, checking and verifying correctness of clearing and accepting processes and results can be performed, so that investors can clearly take a voucher balance table and a preset organization file and check the voucher balance table and the preset organization file in a level manner, accuracy of clearing processing is guaranteed, clear prompt is given for uneven checking, and whether secondary clearing processing is performed or not is determined. The method supports but the balance of market ticket resources to account, supports quick concurrent account checking of more than one hundred million levels of data volume, and supports quick re-liquidation after leveling aiming at uneven data.

The clearing architecture covers a multi-service scene, is in butt joint with the unified clearing capacity of a plurality of sets of isomorphic and heterogeneous transaction centers, ensures that clearing can be completed in a short time (such as 15 minutes), has the capacity of carrying out fragment parallel clearing and multi-batch clearing according to accounts, markets, services, entrusting quantities and the like, supports rapid capacity expansion when the service volume is greatly increased, supports independent deployment of clearing nodes aiming at clients with high clearing timeliness requirements so as to provide T0-pair bills in time, supports automatic clearing scheduling of specified rules, supports configurable and automatic precondition checking capacity and clearing result checking capacity among clearing processes, supports repeated clearing capacity after clearing progress tracking, result monitoring, exception handling and single process exception, ensures that execution of clearing result power and the like does not influence each other, and supports rapid addition, and has the rolling clearing capacity of multiple markets and multiple currencies.

S12, after detecting the closing, auditing the first processing result.

In this embodiment, the auditing the first processing result includes:

acquiring a preset universal flow meter;

And determining the data with different comparison results as data which does not pass the audit.

Specifically, the real-time day-clearing tickets and the resource changes are respectively written into the real-time ticket resource balance change table and the real-time fund balance change table, and the ticket resource change table is synchronized to the end of the day after the transaction is finished and the audit is passed. Furthermore, after the real-time clearing of the guarantee delivery is finished in the daytime, the date-end data auditing is entered, if the auditing is passed, the clearing of the detailed data is not carried out at the end of the day, the ticket resource change is directly generated according to the real-time ticket resource balance change generated in the daytime, the ticket resource balance is uniformly updated by the ticket resource change table during the accounting processing, and if the data auditing is not passed, the date-end clearing mode is started aiming at the data which are not passed by the auditing.

And S13, performing date-end clearing processing on non-daytime-processed clearing source data in the data to be processed based on the clearing architecture to obtain a second processing result.

Specifically, the manner of the end-of-day clearing is similar to the manner of the daytime clearing, and is not described herein.

The method comprises the steps of directly entering audit and checking account at the end of a day, adopting a clearing data source and clearing processing decoupling mode in an end-of-day clearing flow, achieving batch clearing after files are in place, achieving the maximum utilization of balance of liabilities under a dislocation mechanism, greatly improving clearing efficiency due to multi-batch high-concurrency execution, and guaranteeing high quality and high flexibility of clearing through a strict audit checking program and an error adjusting mechanism.

And S14, integrating the first processing result and the second processing result to obtain a clearing result.

In the embodiment, different from the traditional clearing mode, the transaction and settlement separation is realized through the pre-constructed clearing framework, and clearing and delivery are independent. Meanwhile, by combining the daytime real-time clearing and the day-end clearing, the clearing and delivery and real-time data service of 7 × 24h can be provided, for the guarantee delivery service variety meeting the real-time clearing condition, the day-end clearing is advanced to the daytime, the real-time clearing of the voucher is carried out according to the order, the transaction return, the real-time instruction, the clearing control parameters and the like, and the clearing time window dilemma is broken; and auditing is carried out according to the daily clearing at the end of the day, the variable running water is directly generated for posting if the auditing is passed, and the high-concurrency clearing engine technology is carried in the whole daily clearing process, so that the high-speed, high-quality and strict error prevention are realized. The combination and optimization of the day-to-day end liquidation efficiently release the available and available assets of the client, improve the use efficiency of the assets of the client and improve the overall liquidation rate.

Fig. 2 is a functional block diagram of a preferred embodiment of the device for real-time execution of clearing task according to the present invention. The clearing task real-time executing device 11 comprises an identifying unit 110, a clearing unit 111, an auditing unit 112 and an integrating unit 113. A module/unit as referred to herein is a series of computer program segments stored in a memory that can be executed by a processor and that can perform a fixed function. In the present embodiment, the functions of the modules/units will be described in detail in the following embodiments.

The identifying unit 110 is configured to identify the daytime liquidation data from the to-be-processed data generated in real time.

In this embodiment, the identifying unit 110 identifying the daytime liquidation data from the to-be-processed data generated in real time includes:

and acquiring Real Time Gross payment (RTGS) data from the data to be processed, and taking the RTGS data as the daytime clearing data.

Wherein the predetermined institution is an institution that registers and settles the certificate transaction.

The clearing unit 111 is configured to perform real-time clearing processing on the daytime clearing data based on a pre-constructed clearing architecture to obtain a first processing result.

The traditional clearing system has the disadvantages that the transaction settlement is tightly coupled, so that the transaction and the settlement are mutually involved, the optimization is difficult respectively, the optimization and the transformation cannot be carried out aiming at the conditions of complex processing and large data volume, the running speed is low, the operation is not smooth, the error is often required to be manually adjusted to adapt to old programs, and the inconvenience is very high.

Specifically, the clearing unit 111 performs real-time clearing processing on the daytime clearing data based on a pre-constructed clearing architecture, and obtaining a first processing result includes:

For example: each clearing program (which can be divided according to business dimensions) core completes standard streamlining of transaction orders and preset organization details, clears out the change data of the voucher, and makes preparation work for the financial processing of voucher balance updating, wherein the period relates to the basic audit action of clearing data, and the clearing template flow is as follows:

ClearProcesss {

beforeClear ()// custom pre-liquidation preparation

loadData ()// load order and mid-school data (no order data may not load order)

Nomalizeflow ()// generating general clearing flow

Generation SeucChange ()/Change in securities based on Universal stream

afterClear ()// subsequent work to customize completion scores

}。

The preset fragment dimension can be a service dimension and the like, the service fragment dimension coverage parameter is wide, the preset fragment dimension is mainly reflected in markets, delivery modes, service codes and the like, and the preset fragment dimension can also be set to securities classification and securities mark, such as common buying and selling guarantee delivery service in a certain market. After the business dimension is fragmented, the settlement concurrence can be supported, the settlement of multi-legal person, multi-currency and multi-market transaction is supported, and the fine management of due charge and limited sale is realized.

The clearing architecture covers a multi-service scene, is in butt joint with the unified clearing capacity of a plurality of sets of isomorphic and heterogeneous trading centers, ensures that clearing can be completed in a short time (such as 15 minutes), has the capacity of carrying out fragmentation parallel clearing and multi-batch clearing according to accounts, markets, services, entrustment and the like, supports quick expansion when the service volume is greatly increased, supports independent deployment of clearing nodes aiming at clients with high clearing timeliness requirements so as to provide T0 statement in time, supports automatic clearing scheduling of specified rules, supports configurable and automatic precondition checking capacity and clearing result checking capacity among clearing processes, supports the clearing progress tracking, result monitoring, exception handling and repeated clearing capacity after single process exception, ensures that execution of clearing result idempotent and the like does not influence each other, and supports quick addition, and has the rolling clearing capacity of multiple currencies.

The auditing unit 112 is configured to audit the first processing result after detecting the closing.

In this embodiment, the auditing unit 112 auditing the first processing result includes:

acquiring a preset general flow water meter;

determining the data with the same comparison result as the data passing the audit; or

The clearing unit 111 is further configured to perform, based on the clearing framework, a last-day clearing process on non-daytime-processed clearing source data in the data to be processed, so as to obtain a second processing result.

Specifically, the manner of the end-of-day clearing is similar to that of the daytime clearing, and is not described herein.

The method comprises the steps of checking and checking the balance of the debt, wherein the auditing is directly entered into the account at the end of the day, the clearing data source and the clearing processing decoupling mode are adopted in the clearing process at the end of the day, batch clearing after files are in place is realized, the maximum utilization of the balance of the debt is realized under a dislocation mechanism, the clearing efficiency is greatly improved through the execution of multiple batches of high concurrency, and the high quality and high flexibility of clearing are ensured through a strict auditing checking program and an error adjusting mechanism.

The integration unit 113 is configured to integrate the first processing result and the second processing result to obtain a clearing result.

In the embodiment, different from the traditional clearing mode, the transaction and settlement separation is realized through the pre-constructed clearing framework, and clearing and delivery are independent. Meanwhile, by combining the daytime real-time clearing and the day-end clearing, the clearing and delivery and real-time data service of 7 × 24h can be provided, for the guarantee delivery service variety meeting the real-time clearing condition, the day-end clearing is advanced to the daytime, the real-time clearing of the voucher is carried out according to the order, the transaction return, the real-time instruction, the clearing control parameters and the like, and the clearing time window dilemma is broken; and auditing is carried out according to the daily clearing at the end of the day, if the auditing is passed, the variable flow is directly generated for posting, and the full flow of the daily clearing is loaded with a high-concurrency clearing engine technology, so that the high-speed, high-quality and strict error prevention are realized. The combination and optimization of the day-to-day end liquidation efficiently release the available and available assets of the client, improve the use efficiency of the assets of the client and improve the overall liquidation rate.

Fig. 3 is a schematic structural diagram of a computer device according to a preferred embodiment of the method for executing a liquidation task in real time.

The computer device 1 may comprise a memory 12, a processor 13 and a bus, and may further comprise a computer program, such as a clearing task real-time execution program, stored in the memory 12 and executable on the processor 13.

It will be understood by those skilled in the art that the schematic diagram is merely an example of the computer device 1, and does not constitute a limitation to the computer device 1, the computer device 1 may have a bus-type structure or a star-shaped structure, the computer device 1 may further include more or less other hardware or software than those shown, or different component arrangements, for example, the computer device 1 may further include an input and output device, a network access device, etc.

It should be noted that the computer device 1 is only an example, and other electronic products that are currently available or may come into existence in the future, such as electronic products that can be adapted to the present invention, should also be included in the scope of the present invention, and are included herein by reference.

The memory 12 includes at least one type of readable storage medium, which includes flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 12 may in some embodiments be an internal storage unit of the computer device 1, for example a removable hard disk of the computer device 1. The memory 12 may also be an external storage device of the computer device 1 in other embodiments, such as a plug-in removable hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device 1. Further, the memory 12 may also include both an internal storage unit and an external storage device of the computer device 1. The memory 12 can be used not only for storing application software installed in the computer apparatus 1 and various kinds of data such as codes of a clearing task real-time execution program, etc., but also for temporarily storing data that has been output or is to be output.

The processor 13 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 13 is a Control Unit (Control Unit) of the computer device 1, connects various components of the whole computer device 1 by using various interfaces and lines, and executes various functions of the computer device 1 and processes data by running or executing programs or modules (for example, executing a clearing task real-time execution program and the like) stored in the memory 12 and calling data stored in the memory 12.

The processor 13 executes the operating system of the computer device 1 and various installed application programs. The processor 13 executes the application program to perform the steps of the above-described embodiments of the method for real-time execution of the respective liquidation tasks, such as the steps shown in fig. 1.

Illustratively, the computer program may be partitioned into one or more modules/units, which are stored in the memory 12 and executed by the processor 13 to implement the present invention. The one or more modules/units may be a series of computer readable instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the computer device 1. For example, the computer program may be divided into a recognition unit 110, a clearing unit 111, an auditing unit 112, an integration unit 113.

The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a computer device, or a network device) or a processor (processor) to execute the parts of the clearing task real-time execution method according to the embodiments of the present invention.

The modules/units integrated by the computer device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented.

Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random-access Memory, or the like.

Further, the computer-readable storage medium may mainly 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, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.

The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one line is shown in FIG. 3, but this does not mean only one bus or one type of bus. The bus is arranged to enable connection communication between the memory 12 and at least one processor 13 or the like.

Although not shown, the computer device 1 may further include a power supply (such as a battery) for supplying power to the various components, and preferably, the power supply may be logically connected to the at least one processor 13 through a power management device, so as to implement functions such as charge management, discharge management, and power consumption management through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The computer device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.

Further, the computer device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used to establish a communication connection between the computer device 1 and other computer devices.

Optionally, the computer device 1 may further comprise a user interface, which may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the computer device 1 and for displaying a visualized user interface.

It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.

Fig. 3 shows only the computer device 1 with the components 12-13, and it will be understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the computer device 1 and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.

With reference to fig. 1, the memory 12 of the computer device 1 stores a plurality of instructions to implement a method for real-time execution of a clearing task, and the processor 13 can execute the plurality of instructions to implement:

after detecting that the closing of the quotation, auditing the first processing result;

performing non-daytime-processed clearing source data in the data to be processed on the basis of the clearing architecture to obtain a second processing result;

Specifically, the processor 13 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the instruction, which is not described herein again.

It should be noted that all the data involved in the present application are legally acquired.

In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.

The invention is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.

The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the present invention may also be implemented by one unit or means through software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A clearing task real-time execution method is characterized by comprising the following steps:

after the closing is detected, auditing the first processing result;

2. The method of real-time performance of a clearing task according to claim 1, wherein said identifying daytime clearing data from real-time generated pending data comprises:

3. The method for real-time execution of a clearing task according to claim 1, wherein the real-time clearing processing of the daytime clearing data based on a pre-constructed clearing architecture, and obtaining a first processing result comprises:

4. A clearing task real-time execution method according to claim 3, wherein said executing data source download of said daytime clearing data by a data source processing module in said clearing architecture comprises:

5. The method for real-time execution of a liquidation task according to claim 3, wherein the automatically triggering liquidation processing of the identified piece of data according to the preset slicing dimension comprises:

6. The method for real-time execution of a liquidation task according to claim 3, wherein the automatically triggering liquidation processing of the identified piece of data according to the preset slicing dimension comprises:

7. The method of real-time execution of a clearing task according to claim 1, wherein said auditing said first processing result comprises:

acquiring a preset general flow water meter;

8. A liquidation task real-time execution device, characterized in that the liquidation task real-time execution device comprises:

the clearing unit is further used for carrying out day-end clearing processing on non-day-processed clearing source data in the data to be processed based on the clearing architecture to obtain a second processing result;

9. A computer device, characterized in that the computer device comprises:

a memory storing at least one instruction; and

a processor executing instructions stored in the memory to implement a method of real-time execution of a clearing task according to any of claims 1 to 7.

10. A computer-readable storage medium characterized by: the computer-readable storage medium has stored therein at least one instruction that is executable by a processor in a computer device to implement a clearing task real-time execution method according to any one of claims 1 to 7.