Data processing method and device of banking business fusion system, computer equipment, readable storage medium and program product

Abstract

The invention relates to a data processing method and device of a banking business fusion system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving request data of a banking business fusion system through a fusion interface; wherein the banking business fusion system is determined based on at least two of a paper and coin self-service exchange system, a money depositing and withdrawing integrated system, a foreign coin exchange system, a product receiving system and a self-service ticket buying system; analyzing the request data to obtain a processing rule corresponding to the request data; and according to the processing rule, determining a target component for executing the processing rule so as to execute the processing rule corresponding to the request data. By adopting the method, the flexibility and expansibility of the fusion system can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a data processing method, device, computer equipment, computer-readable storage medium and computer program product for a banking business integration system. Background Art

[0002] With the development of artificial intelligence technology and the popularization of independent banking services, there have emerged self-service paper coin exchange systems for paper coin exchange terminals, integrated deposit and withdrawal systems for integrated deposit and withdrawal terminals, foreign currency exchange systems for foreign currency exchange terminals, product collection systems for product collection terminals (such as bank cards, U-Shields), and self-service ticket purchase systems for self-service ticket purchase terminals.

[0003] In traditional technology, each banking business system exists independently, with poor interactivity between systems, resulting in information islands and reducing flexibility between systems. Summary of the invention

[0004] Based on this, it is necessary to provide a data processing method, device, computer equipment, computer-readable storage medium and computer program product for a banking business integration system that can improve flexibility and scalability in response to the above technical problems.

[0005] In a first aspect, the present application provides a data processing method for a banking business integration system, the method comprising: Receive request data from a banking service integration system through a fusion interface; wherein the banking service integration system is determined based on at least two of a paper and coin self-service exchange system, a deposit and withdrawal system, a foreign currency exchange system, a product collection system, and a self-service ticket purchase system; Parsing the request data to obtain processing rules corresponding to the request data; According to the processing rule, a target component for executing the processing rule is determined to execute the processing rule corresponding to the request data.

[0006] In one embodiment, the processing rule includes an operating environment; and the parsing of the request data to obtain the processing rule corresponding to the request data includes: Initialize the rule engine and load the rule file; Extracting key fields from the request data according to the rule file; According to the mapping relationship and the key field, the operating environment corresponding to the request data is obtained; wherein the mapping relationship includes the relationship between the key field and the operating environment; The processing rules include a target data format; the parsing of the request data to obtain the processing rules corresponding to the request data also includes: Filtering the request data to determine target request data and its corresponding data format; Converting the data format of the target request data to obtain the target request data in a target format; The processing rule includes processing logic; the parsing of the request data to obtain the processing rule corresponding to the request data includes: Extracting a service identifier of the request data; According to the service identifier, the corresponding processing logic is determined.

[0007] In one embodiment, the processing rule includes processing logic; and determining a target component for executing the processing rule according to the processing rule to execute the processing rule corresponding to the request data includes: According to the processing logic, searching a component registry for a corresponding target component that executes the processing logic; wherein the component registry includes components and corresponding processing logic; Select at least one execution mode from synchronous, asynchronous, and concurrent execution modes as the target execution mode; According to the target execution mode, the processing logic corresponding to the request data is executed by the target component.

[0008] In one embodiment, the method further comprises: For each component, by registering the component, determining registration information of the component, wherein the registration information includes at least one of a component identifier and a component name; The registration information of the component is associated with the processing logic corresponding to the component, the component registration table is determined, and the component registration table is stored in a cache system.

[0009] In one embodiment, the method further comprises: Obtaining registration information of a new component and processing logic corresponding to the new component; After associating the registration information of the new component with the processing logic corresponding to the new component, the new component is stored in the component registration table.

[0010] In one embodiment, the method further comprises: Obtaining abnormal components whose abnormal frequency exceeds a frequency threshold in the component registry; The abnormal component is marked in the registration table.

[0011] In a second aspect, the present application provides a data processing device for a banking business integration system, the device comprising: A receiving module, used for receiving request data of a banking service integration system through a fusion interface; wherein the banking service integration system is determined based on at least two of a paper and coin self-service exchange system, a deposit and withdrawal system, a foreign currency exchange system, a product collection system, and a self-service ticket purchase system; A parsing module, used to parse the request data and obtain a processing rule corresponding to the request data; The execution module is used to determine the target component for executing the processing rule according to the processing rule, so as to execute the processing rule corresponding to the request data.

[0012] In a third aspect, the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0014] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the steps of the above method when executed by a processor.

[0015] The data processing method, device, computer equipment, computer-readable storage medium and computer program product of the above-mentioned banking business integration system receive the request data of the banking business interaction system through the integration interface; secondly, parse the request data to obtain the processing rules corresponding to the request data; finally, determine the target component for executing the processing rules according to the processing rules to execute the processing rules corresponding to the request data. The banking business integration system can integrate multiple systems, and different processing rules can be obtained according to different request data. The processing rules can be adjusted at any time according to the request. When the processing rules are adjusted, the configuration order of the target components can be adjusted. According to the request data, the corresponding modification rules are used to increase or decrease the configuration of the target components. Thereby, the banking business integration system can be made flexible and dynamic, and the scalability of the banking business integration system can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1An application environment diagram of a data processing method of a banking business integration system in an embodiment; Figure 2 A schematic diagram of a flow chart of a data processing method of a banking business integration system in one embodiment; Figure 3 A schematic diagram of a process of parsing and obtaining an operating environment in an embodiment; Figure 4 It is a schematic diagram of a process of parsing and obtaining a target data format in another embodiment; Figure 5 A flowchart of a processing logic obtained by parsing in another embodiment; Figure 6 A schematic diagram of a process for determining a target component in one embodiment; Figure 7 It is a flowchart of a data processing method of a banking business integration system in another embodiment; Figure 8 It is a flowchart of a data processing method of a banking business integration system in another embodiment; Fig. 9 It is a flowchart of a data processing method of a banking business integration system in another embodiment; Fig.10 It is a structural block diagram of a data processing device of a banking business integration system in one embodiment; Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0019] The data processing method of the banking business integration system provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server receives the request data of the banking service integration system through the integration interface; wherein the banking service integration system is determined based on at least two of the paper coin self-service exchange system, the deposit and withdrawal system, the foreign currency exchange system, the product collection system, and the self-service ticket purchase system; parse the request data to obtain the processing rules corresponding to the request data; according to the processing rules, determine the target component for executing the processing rules to execute the processing rules corresponding to the request data. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0020] In an exemplary embodiment, Figure 2 As shown, a data processing method for a banking business integration system is provided, and the method is applied to Figure 1 The server in the example is used to illustrate, including the following steps S202 to S206. Among them: Step S202: receiving request data from the banking business integration system through the integration interface.

[0021] Among them, the banking business integration system is based on at least two of the paper and coin self-service exchange system, the deposit and withdrawal system, the foreign currency exchange system, the product collection system, and the self-service ticket purchase system.

[0022] The fusion interface is the basis for heterogeneous system docking. It standardizes the communication between different systems and supports multiple interfaces such as HTTP, WS, MQTT, TCP / UDP, KAFKA, Schedule, etc. It also supports flexible custom interfaces to meet the docking requirements in various scenarios. Different systems use different communication protocols. For example, the banking business fusion system is a fusion of the paper coin self-service exchange system and the deposit and withdrawal system. The paper coin self-service exchange system uses the HTTP communication protocol, and the deposit and withdrawal system uses the MQTT communication protocol. Through the fusion interface, different communication protocols are selected according to the different target systems requesting data.

[0023] Optionally, the server receives the request data of the banking service fusion system through the fusion interface. For example, if a user queries the balance of a bank card through a terminal deployed with the banking service fusion system, the deposit and withdrawal system in the banking service fusion system needs to respond to the request data. The server receives the request data of the banking service fusion system through the fusion interface, and transmits the data request to the rule engine using the MQTT communication protocol.

[0024] Step S204, parsing the request data to obtain processing rules corresponding to the request data.

[0025] The processing rules may include the operating environment, processing logic and data format. For example, the processing logic includes the configuration sequence and triggering sequence of components.

[0026] Optionally, the server parses the request data through a rule engine to obtain processing rules corresponding to the request data, such as the operating environment and data format of the request data, and the triggering sequence of the components to obtain a response.

[0027] Step S206: Determine the target component for executing the processing rule according to the processing rule, so as to execute the processing rule corresponding to the request data.

[0028] Optionally, the server determines the target component for executing the processing rules based on the processing rules, which include the configuration order and triggering order of the components. For example, the condition required to respond to the request data is to trigger components A, B and C through data in data format DF in the operating environment V.

[0029] In the data processing method of the above-mentioned banking business integration system, firstly, the request data of the banking business interaction system is received through the integration interface; secondly, the request data is parsed to obtain the processing rules corresponding to the request data; finally, according to the processing rules, the target component for executing the processing rules is determined to execute the processing rules corresponding to the request data. The banking business integration system can integrate multiple systems, and different processing rules can be obtained according to different request data. The processing rules can be adjusted at any time according to the request. When the processing rules are adjusted, the configuration order of the target components can be adjusted. According to the request data, the corresponding modification rules are used to increase or decrease the configuration of the target components. In this way, the banking business integration system can be changed flexibly and dynamically and the scalability of the banking business integration system can be increased.

[0030] In an exemplary embodiment, Figure 3 As shown, the processing rules include the operating environment; parsing the request data to obtain the processing rules corresponding to the request data, including steps S302 to S306. Among them: Step S302, loading the rule file through the rule engine initialization.

[0031] The rule files are stored in the configuration files.

[0032] Step S304: extract key fields from the request data according to the rule file.

[0033] Optionally, the request data is parsed into key-value pairs by the rule engine through a JSON or XML parsing library. Key fields such as userId, location, deviceType, etc. are extracted from the key-value pairs.

[0034] Step S306, obtaining the operating environment corresponding to the request data according to the mapping relationship and the key field; wherein the mapping relationship includes the relationship between the key field and the operating environment.

[0035] Among them, the operating environment includes JS Runtime, JAVA Runtime, WebAssembly Runtime, .NET Runtime, etc., to adapt to the technology stack requirements of different systems.

[0036] Optionally, the server selects different operating environments through location and deviceType, as well as pre-established mapping relationships.

[0037] like Figure 4 As shown, the processing rules include the target data format; parsing the request data to obtain the processing rules corresponding to the request data, and also includes steps S402 to S404. Among them: Step S402: filter the request data to determine the target request data and its corresponding data format.

[0038] Optionally, the server filters the request data through a data filter, filters the input data according to set conditions, and selects target request data and its corresponding data format.

[0039] Step S404: convert the data format of the target request data to obtain the target request data in the target format.

[0040] Optionally, the server converts the data format of the target request data through a data converter (Transformer) to obtain the target request data in a target format to adapt to the requirements of the target system.

[0041] like Figure 5 As shown, the processing rules include processing logic; parsing the request data to obtain the processing rules corresponding to the request data, and also include steps S502 to S504. Among them: Step S502: extract the service identifier of the request data.

[0042] Optionally, the server extracts a service identifier of the request data.

[0043] Step S504: determine the corresponding processing logic according to the service identifier.

[0044] Optionally, different services correspond to different service processing logics, and the server determines the corresponding processing logic according to the service identifier.

[0045] In this embodiment, the corresponding operating environment, data format and processing logic are obtained by parsing the request data, and the operating environment, data format and processing logic can be flexibly adjusted according to pre-set rules.

[0046] In an exemplary embodiment, Figure 6 As shown, the processing rule includes processing logic; according to the processing rule, the target component for executing the processing rule is determined to execute the processing rule corresponding to the request data, including steps S602 to S606. Among them: Step S602: according to the processing logic, search the component registration table for the corresponding target component that executes the processing logic.

[0047] The component registry includes components and corresponding processing logic.

[0048] Optionally, the server searches for the corresponding target component for executing the processing logic from the component registry according to the processing logic. Each processing logic in the component registry has a corresponding target component, such as processing logic 1--component A+component B; processing logic 2--component A+component B+component C, and so on.

[0049] Step S604: Select at least one execution mode from the synchronous, asynchronous, and concurrent execution modes as the target execution mode.

[0050] Optionally, if the server obtains multiple processing logics after parsing the data request, the server selects synchronous, asynchronous, or concurrent execution of the multiple processing logics according to the target execution mode.

[0051] Step S606: Execute the processing logic corresponding to the request data through the target component according to the target execution mode.

[0052] Optionally, the server executes multiple processing logics concurrently, and the target component corresponding to each processing logic performs parallel or dependent processing according to the received data and predefined rules, and returns the processing results. Parallel processing: If there is no strong dependency between multiple components, the processing logic of multiple components can be executed in parallel. Dependency processing: If there is a dependency between multiple components (such as the output of one component is used as the input of another component), they need to be executed in sequence.

[0053] In this embodiment, the corresponding target component is obtained through the component registry, and the target component is executed according to the target execution mode, which can improve the concurrent processing capability of the system.

[0054] In an exemplary embodiment, Figure 7 As shown, the data processing method of the banking business integration system also includes steps S702 to S704. Among them: Step S702: for each component, determine the registration information of the component by registering the component, wherein the registration information includes at least one of a component identifier and a component name.

[0055] Optionally, for each component, the server determines registration information of the component by registering the component, wherein the registration information includes at least one of a component identifier and a component name.

[0056] Step S704, associating the registration information of the component with the processing logic corresponding to the component, determining the component registration table, and storing the component registration table in the cache system.

[0057] Optionally, the server associates the registration information of the component with the processing logic corresponding to the component, determines the component registry, and stores the component registry in a cache system, such as Redis.

[0058] Table 1 Component registry Component Name / Component ID Processing Logic Supported operations CurrencyService currency_exchange Exchange Currency ... ... ... In this embodiment, by constructing a component registry, processing logic and corresponding components can be flexibly added, modified, or deleted, thereby improving the flexibility and scalability of the system.

[0059] In an exemplary embodiment, Figure 8 As shown, the data processing method of the banking business integration system also includes steps S802 to S804. Among them: Step S802, obtaining the registration information of the new component and the processing logic corresponding to the new component.

[0060] Optionally, according to business requirements, the server obtains registration information of the new component and processing logic corresponding to the new component.

[0061] Step S804: associate the registration information of the new component with the processing logic corresponding to the new component and store them in the component registration table.

[0062] Optionally, the server associates the registration information of the new component with the processing logic corresponding to the new component and stores them in the component registration table.

[0063] In an exemplary embodiment, Fig. 9As shown, the data processing method of the banking business integration system also includes steps S902 to S904. Among them: Step S902, obtaining abnormal components whose abnormal frequency exceeds a frequency threshold in the component registration table.

[0064] Optionally, the server obtains abnormal components whose abnormal frequency exceeds a frequency threshold in the component registry, wherein the frequency threshold may be determined based on historical data statistics.

[0065] Step S904: Mark the abnormal component in the registry.

[0066] Optionally, the server marks the abnormal component in the registry, and when the target component is called to execute the processing rule corresponding to the request data, the abnormal component is not called.

[0067] In this embodiment, by adding new components and marking abnormal components in the component registry, the flexibility and scalability of the fusion system can be improved.

[0068] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0069] Based on the same inventive concept, the embodiment of the present application also provides a data processing device for a banking business integration system for implementing the data processing method for the banking business integration system involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more data processing devices for banking business integration systems provided below can refer to the limitations of the data processing method for banking business integration systems above, and will not be repeated here.

[0070] In an exemplary embodiment, Fig.10 As shown, a data processing device of a banking business integration system is provided, comprising: a receiving module 1001, a parsing module 1002 and an execution module 1003, wherein: The receiving module 1001 is used to receive request data of the banking business integration system through the integration interface; wherein the banking business integration system is determined based on at least two of the paper and coin self-service exchange system, the deposit and withdrawal system, the foreign currency exchange system, the product collection system, and the self-service ticket purchase system.

[0071] The parsing module 1002 is used to parse the request data and obtain the processing rules corresponding to the request data.

[0072] The execution module 1003 is used to determine the target component for executing the processing rule according to the processing rule, so as to execute the processing rule corresponding to the request data.

[0073] In an exemplary embodiment, the processing rules include an operating environment, a target data format, and a processing logic. The parsing module 1002 includes: The operating environment determination unit is used to load the rule file through the rule engine initialization; extract the key fields from the request data according to the rule file; obtain the operating environment corresponding to the request data according to the mapping relationship and the key fields; wherein the mapping relationship includes the relationship between the key fields and the operating environment.

[0074] The format determination unit is used to filter the request data to determine the target request data and its corresponding data format; convert the data format of the target request data to obtain the target request data in the target format; The processing logic determination unit is used to extract the service identifier of the request data; and determine the corresponding processing logic according to the service identifier.

[0075] In an exemplary embodiment, the processing rules include processing logic; the execution module 1003 is also used to search the corresponding target component for executing the processing logic from the component registry according to the processing logic; wherein the component registry includes components and corresponding processing logic; at least one execution mode is selected from synchronous, asynchronous, and concurrent execution modes as the target execution mode; according to the target execution mode, the processing logic corresponding to the request data is executed through the target component.

[0076] In an exemplary embodiment, a data processing device of a banking service integration system is provided, further comprising: Generate a storage module for determining the registration information of each component by registering the component, wherein the registration information includes at least one of a component identifier and a component name; associate the registration information of the component with the processing logic corresponding to the component, determine the component registration table, and store the component registration table in a cache system.

[0077] In an exemplary embodiment, a data processing device of a banking service integration system is provided, further comprising: A new module is added to obtain the registration information of the new component and the processing logic corresponding to the new component; after associating the registration information of the new component with the processing logic corresponding to the new component, the new component is stored in the component registry.

[0078] In an exemplary embodiment, a data processing device of a banking service integration system is provided, further comprising: The abnormal marking module is used to obtain abnormal components whose abnormal frequency exceeds a frequency threshold in the component registry; and mark the abnormal components in the registry.

[0079] Each module in the data processing device of the above-mentioned banking business integration system can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0080] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.11 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store banking business data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a data processing method for a banking business fusion system is implemented.

[0081] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0082] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0083] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0084] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0085] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0086] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0087] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A data processing method for a banking business integration system, characterized in that: The method comprises: Receive request data from a banking service integration system through a fusion interface; wherein the banking service integration system is determined based on at least two of a paper and coin self-service exchange system, a deposit and withdrawal system, a foreign currency exchange system, a product collection system, and a self-service ticket purchase system; Parsing the request data to obtain processing rules corresponding to the request data; According to the processing rule, a target component for executing the processing rule is determined to execute the processing rule corresponding to the request data.

2. The method according to claim 1, characterized in that The processing rule includes an operating environment; the parsing of the request data to obtain a processing rule corresponding to the request data includes: Initialize the rule engine and load the rule file; Extracting key fields from the request data according to the rule file; According to the mapping relationship and the key field, the operating environment corresponding to the request data is obtained; wherein the mapping relationship includes the relationship between the key field and the operating environment; The processing rules include a target data format; the parsing of the request data to obtain the processing rules corresponding to the request data also includes: Filtering the request data to determine target request data and its corresponding data format; Converting the data format of the target request data to obtain the target request data in a target format; The processing rule includes processing logic; the parsing of the request data to obtain the processing rule corresponding to the request data includes: Extracting a service identifier of the request data; According to the service identifier, a corresponding processing logic is determined.

3. The method according to claim 1, characterized in that The processing rule includes processing logic; and determining a target component for executing the processing rule according to the processing rule to execute the processing rule corresponding to the request data includes: According to the processing logic, searching a component registry for a corresponding target component that executes the processing logic; wherein the component registry includes components and corresponding processing logic; Select at least one execution mode from synchronous, asynchronous, and concurrent execution modes as the target execution mode; According to the target execution mode, the processing logic corresponding to the request data is executed by the target component.

4. The method according to claim 3, characterized in that The method further comprises: For each component, by registering the component, determining registration information of the component, wherein the registration information includes at least one of a component identifier and a component name; The registration information of the component is associated with the processing logic corresponding to the component, the component registration table is determined, and the component registration table is stored in a cache system.

5. The method according to claim 4, characterized in that The method further comprises: Obtaining registration information of a new component and processing logic corresponding to the new component; After associating the registration information of the new component with the processing logic corresponding to the new component, the new component is stored in the component registration table.

6. The method according to claim 4, characterized in that The method further comprises: Obtaining abnormal components whose abnormal frequency exceeds a frequency threshold in the component registry; The abnormal component is marked in the registration table.

7. A data processing device for a banking business integration system, characterized in that: The device comprises: A receiving module, used for receiving request data of a banking service integration system through a fusion interface; wherein the banking service integration system is determined based on at least two of a paper and coin self-service exchange system, a deposit and withdrawal system, a foreign currency exchange system, a product collection system, and a self-service ticket purchase system; A parsing module, used to parse the request data and obtain a processing rule corresponding to the request data; The execution module is used to determine the target component for executing the processing rule according to the processing rule, so as to execute the processing rule corresponding to the request data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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