WO2021057064A1

WO2021057064A1 - Data interaction conversion method and apparatus based on artificial intelligence, device, and medium

Info

Publication number: WO2021057064A1
Application number: PCT/CN2020/093592
Authority: WO
Inventors: 杨冬振; 徐志花
Original assignee: 平安科技（深圳）有限公司
Priority date: 2019-09-23
Filing date: 2020-05-30
Publication date: 2021-04-01
Also published as: CN110825807B; CN110825807A

Abstract

Provided are a data interaction conversion method and apparatus based on artificial intelligence, a device, and a storage medium, wherein same relate to the technical field of data conversion. The method comprises: receiving interaction data to be converted (201); acquiring a data conversion instruction for processing the interaction data, and calling a data converter in response to the data conversion instruction, wherein the data conversion instruction is provided with a conversion requirement (202); configuring a parameter table of the data converter on the basis of the conversion requirement, so as to update the data converter (203); and executing data conversion processing on the interaction data through the updated data converter, so as to acquire interaction conversion data required by a target user (204). According to the method, multiple types of sub-converters can be configured in a parameter table of a data converter, such that redundant codes can be reduced; and during data conversion, the data converter only needs to be called once, and flexible configuration and dynamic modification can be achieved through a database operation, thereby improving the conversion efficiency and better meeting data conversion requirements.

Description

Artificial intelligence-based data interactive conversion method, device, equipment and medium

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on September 23, 2019, the application number is 201910898998.4, and the invention title is "artificial intelligence-based data interactive conversion method, device, equipment and medium", and its entire content Incorporated in this application by reference.

Technical field

The embodiments of the present application relate to the field of data conversion technology, in particular, an artificial intelligence-based data interactive conversion method, device, equipment, and storage medium.

Background technique

In software development and practical applications, data interaction between various systems is the most common behavior. At this time, data interaction often occurs between different database architectures, and the data storage forms in different database architectures are different. In the process of data interaction, some fields in the acquired data cannot be directly applied, and the data needs to be converted to adapt the data to the receivers at both ends of the interaction. Data conversion is the process of changing data from one form of representation to another.

The inventor realizes that in the process of data interaction between systems, when the data needs to be processed for data conversion, a lot of redundant codes will be created. When the mapping relationship is modified, the program code needs to be modified, which makes the processing process very inconvenient. .

technical problem

The technical problem to be solved by the embodiments of this application is to provide an artificial intelligence-based data interactive conversion method, device, equipment and storage medium, which can reduce the generation of redundant codes and realize flexible configuration of data conversion through database operations. And dynamic modification.

Technical solutions

In order to solve the above technical problems, the artificial intelligence-based data interactive conversion method described in the embodiments of the present application adopts the following technical solutions.

An artificial intelligence-based data interactive conversion method, including: receiving interactive data to be converted; obtaining a data conversion instruction for processing the interactive data, and invoking a data converter in response to the data conversion instruction, the data conversion A conversion requirement is set in the instruction; the parameter table of the data converter is configured based on the conversion requirement to update the data converter; the data conversion process is performed on the interactive data through the updated data converter to obtain the target The interactive conversion data required by the user.

The artificial intelligence-based data interactive conversion method described in the embodiments of the present application can configure multiple types of sub-converters in the parameter table of the data converter, thereby reducing redundant codes and making data conversion only necessary for data conversion. Once the converter is called, flexible configuration and dynamic modification can be realized through database operation, which improves the conversion efficiency and can better adapt to the needs of data conversion.

In order to solve the above technical problems, an embodiment of the present application also provides an artificial intelligence-based data interactive conversion device, which adopts the following technical solutions.

An artificial intelligence-based data interactive conversion device includes: a data receiving module for receiving interactive data to be converted; an instruction obtaining module for obtaining a data conversion instruction for processing the interactive data, and responding to the The data conversion instruction calls the data converter, and the conversion requirement is set in the data conversion instruction; the converter update module is used to configure the parameter table of the data converter based on the conversion requirement to update the data converter; The conversion module is configured to perform data conversion processing on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.

The artificial intelligence-based data interactive conversion device described in the embodiment of the present application can configure multiple types of sub-converters in the parameter table of the data converter, thereby reducing redundant codes, so that only data conversion is required for data conversion. Once the converter is called, flexible configuration and dynamic modification can be realized through database operation, which improves the conversion efficiency and can better adapt to the needs of data conversion.

In order to solve the above technical problems, the embodiments of the present application also provide a computer device, which adopts the following technical solutions.

A computer device, including a memory and a processor, the memory is stored with a computer program, and the processor implements the artificial intelligence-based data interactive conversion method as described in any one of the above technical solutions when the computer program is executed. Steps, for example, the following steps are implemented: receiving interactive data to be converted; acquiring a data conversion instruction for processing the interactive data, and invoking a data converter in response to the data conversion instruction, the data conversion instruction is provided with a conversion Requirements; configure the parameter table of the data converter based on the conversion requirements to update the data converter; perform data conversion processing on the interaction data through the updated data converter to obtain the interaction required by the target user Convert the data.

In order to solve the above technical problems, the embodiments of the present application also provide a computer-readable storage medium, which adopts the following technical solutions.

A computer-readable storage medium having a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the artificial intelligence-based data interactive conversion method described in any one of the above technical solutions Steps, for example, the following steps are implemented: receiving interactive data to be converted; acquiring a data conversion instruction for processing the interactive data, and invoking a data converter in response to the data conversion instruction, the data conversion instruction is provided with a conversion Requirements; configure the parameter table of the data converter based on the conversion requirements to update the data converter; perform data conversion processing on the interaction data through the updated data converter to obtain the interaction required by the target user Convert the data.

Beneficial effect

The embodiment of the present application can configure multiple types of sub-converters in the parameter table of the data converter, thereby reducing redundant codes, so that the data converter only needs to be called once during data conversion, and the data converter can be operated through the database. Realize flexible configuration and dynamic modification, improve conversion efficiency and better adapt to the needs of data conversion.

Description of the drawings

Fig. 1 is an exemplary system architecture diagram to which an embodiment of the application can be applied.

Fig. 2 is a flowchart of an embodiment of the artificial intelligence-based data interactive conversion method in an embodiment of the application.

FIG. 3 is a schematic structural diagram of an embodiment of the artificial intelligence-based data interaction conversion device in an embodiment of the application.

Fig. 4 is a schematic structural diagram of an embodiment of a computer device in an embodiment of the application.

Embodiments of the present invention

The terms in the claims, specification and drawings of this application, such as "first" and "second" and other relational terms are only used to associate one entity/operation/object with another entity/operation/ The distinction between objects does not necessarily require or imply any such actual relationship or order between these entities/operations/objects. Those skilled in the art clearly and implicitly understand that the embodiments described herein can be combined with other embodiments.

The technical solution of the present application can be applied to the field of artificial intelligence or big data technology to realize data conversion between database architectures.

As shown in FIG. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, and so on.

The user can use the terminal devices 101, 102, and 103 to interact with the server 105 through the network 104 to receive or send messages and so on. Various communication client applications, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, and social platform software, may be installed on the terminal devices 101, 102, and 103.

The terminal devices 101, 102, 103 can be various electronic devices with display screens and support for web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, motion picture experts compress standard audio layer 3), MP4 ( Moving Picture Experts Group Audio Layer IV, moving picture experts compress standard audio layer 4) Players, laptops and desktop computers, etc.

The server 105 may be a server that provides various services, for example, a background server that provides support for pages displayed on the terminal devices 101, 102, and 103.

It should be noted that the artificial intelligence-based data interactive conversion method provided in the embodiments of the present application is generally executed by a server/terminal device. Accordingly, the artificial intelligence-based data interactive conversion device is generally set in the server/terminal device.

It should be understood that the numbers of terminal devices, networks, and servers in FIG. 1 are merely illustrative. According to implementation needs, there can be any number of terminal devices, networks, and servers.

Continuing to refer to FIG. 2, there is shown a flowchart of an embodiment of the artificial intelligence-based data interactive conversion method in the embodiment of the present application. The artificial intelligence-based data interactive conversion method includes the following steps.

Step 201: Receive interactive data to be converted.

In the embodiment of the present application, during the data interaction process, the current server interaction terminal first receives interaction data from other interaction terminals. However, due to the different database architectures of the two interaction terminals, the interaction data does not conform to the data storage of the database in the current server. Form, so it needs to be processed by data conversion.

Step 202: Obtain a data conversion instruction for processing the interactive data, and call a data converter in response to the data conversion instruction, and a conversion requirement is set in the data conversion instruction.

The data conversion instruction used to execute the data conversion process is generally issued by the target user after editing according to requirements, and is received by the current server to respond. When the target user edits the data conversion instruction, a conversion requirement for data conversion of the interactive data will be set in it according to actual needs. The data converter may include several types of sub-converters. When the data converter is called, one or more sub-converters in the data converter may be called to perform data based on the type of the sub-converter specified in the conversion requirement. Conversion.

Through this step, it can be realized that the data converter can be called only once to meet various requirements of data conversion, thereby reducing redundant codes and improving conversion efficiency.

In some embodiments of the present application, the step of obtaining the data conversion instruction for processing the interactive data in step 202 includes: sequentially obtaining the system identifiers of the sender and the receiver during data interaction, wherein the receiver Is the current server, and the sender is another server that sends the interaction data to the current server; according to the system identifiers of the sender and the receiver, the preset interaction scene table is matched in sequence; When a standard scene is matched, a data conversion instruction corresponding to the matched standard scene is obtained.

In some data interaction scenarios where the sender and the receiver are fixed at the time of interaction, since both parties of the interaction have been determined, the system can configure an interaction scene table for this type of standard interaction scene, in the interaction scene table as specified The system identifiers of the sender and receiver of the interactive data are written sequentially, and the system identifiers are used to distinguish specific interactive parties. Among them, the writing order of the system identification of the sender and the receiver can be set arbitrarily.

Corresponding to each type of standard scene in the interactive scene table, a matching data conversion instruction can be preset for each type of standard scene. If the current scene is the same as a certain type of preset standard scene during mass data interaction, the system can automatically send the data conversion instruction corresponding to this type of standard scene by triggering the instruction program preset by the system. And the data conversion instruction is obtained from the interactive receiver. If the conversion requirement of the interactive data is consistent with the conversion requirement in the preset data conversion instruction, the data conversion instruction can be directly responded to and the subsequent data conversion step can be executed.

Moreover, the data conversion requirements when the interactive data is sent from the A system to the B system are generally different from the data conversion requirements when the B system is sent to the A system. Therefore, the order of obtaining the system identification of the sender and the receiver when the data is exchanged, It needs to be consistent with the order of the system identifiers of the sender and receiver configured in the interaction scene table, and then matches in the interaction scene table according to the order.

Further, after the step of obtaining the data conversion instruction corresponding to the matched standard scene, the artificial intelligence-based data interaction conversion method further includes the step of: sending a confirmation instruction to the target user for the conversion request, the confirmation The instruction is used to confirm whether the conversion requirement in the data conversion instruction is the same as the conversion requirement expected by the target user; if it is different, the expected conversion requirement is obtained from the target user, and the conversion requirement in the data conversion instruction The conversion requirement is replaced with the conversion requirement expected by the target user to update the data conversion instruction.

The data conversion instruction obtained when it matches with a standard scene in the preset interactive scene table, its conversion requirements may not be consistent with the conversion requirements expected by the target user in the current interactive scene, so the conversion requirements in the data conversion instructions are also required Undergo verification. The current server sends a confirmation command to the target user. If the target user confirms that the conversion requirements in the data conversion command meet the current requirements, the data conversion command can be used by the current server to perform subsequent steps, and if the conversion requirements match those expected by the target user If the conversion requirements are different, it is necessary to reacquire the conversion requirements expected by the target user, and then replace the conversion requirements in the data conversion instructions.

Moreover, in the embodiments of the present application, when a large amount of data interaction is performed in the same interaction scenario in a short period of time, generally speaking, the data conversion requirements are the same, but if there is a need to change the conversion requirements during the interaction process, the same needs to be changed. The post-demand conversion requirements shall prevail. Reset the conversion requirements in the conversion instructions to update the conversion instructions to meet the current requirements.

In the embodiment of the present application, the electronic device (such as the server/terminal device shown in FIG. 1) on which the artificial intelligence-based data interactive conversion method runs can receive data sent by the user through a wired connection or a wireless connection. Conversion instructions. It should be pointed out that the above-mentioned wireless connection methods can include but are not limited to 3G/4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, as well as other wireless connection methods that are currently known or developed in the future.

Step 203: Configure the parameter table of the data converter based on the conversion requirement to update the data converter.

The data converter can be regarded as a tool specially used for data conversion of the data in the database. It pre-defines a parameter table for performing data conversion in the database, so that after calling the data converter, the parameter table can be accessed, and data conversion processing can be performed through the parameter table. Before performing the data conversion process, the parameter table needs to be updated according to the current conversion requirements, so that the data converter is applied to the data conversion in the current interactive scene. When you need to add, modify, or delete a certain data conversion processing-related setting, you can operate by modifying the database configuration without modifying the code, which can facilitate flexible configuration for target users and effectively reduce the generation of redundant codes.

In some embodiments of the present application, the data converter is configured with several different types of sub-converters. Before step 203, the artificial intelligence-based data interactive conversion method further includes the step of: storing all data in a database. The data converter establishes a parameter table; configures a number of functional fields in the parameter table, and the functional fields include a first field for distinguishing the type of the sub-converter, a second field for storing conversion rules, and a For the third field indicating the source of the exchanged data and the fourth field for indicating the operating status of different types of converters; the association relationship between the different functional fields is set.

After establishing a parameter table for the data converter, configure a number of function fields related to data conversion processing in the parameter table, and set the association relationship between different function fields and the parameter values in each function field, so as to be convenient Realize the configuration of the data converter. The process of updating the data converter is a process of updating the parameter values of the corresponding fields in the parameter table according to the current conversion requirements, so that the data converter is applied to the data conversion process in the current interactive scene.

Wherein, the function field includes at least a first field for identifying the type of molecular converter, a second field for storing conversion rules, a third field for indicating the source of the exchanged data, and the operating state of different types of converters. The fourth field. In the specific implementation of the embodiment of the present application, a plurality of spare function fields may be preset in the established parameter table for expansion when additional functions are needed.

In an implementation of the embodiment of the present application, under the first field, parameter values such as "normal", "time", "amount", and "regular expression" can be set to indicate different types of sub-conversions. Device. A number of other functional fields need to be associated with the first field indicating the type of the sub-converter to realize a complete data conversion function.

Among them, the common type sub-converter is used to perform simple data conversion on the common fields in the interactive data; the time-type sub-converter is used to perform data conversion on the unified processing of interactive data representing time; the amount-type sub-converter is used to perform The interactive data of the amount is processed uniformly for data conversion; the regular expression type sub-converter is used to perform more complex data conversion on the interactive data according to the conversion rule represented by the regular conversion formula set under the second field.

In the second field used to store the conversion rule, parameter values can be pre-configured to specify the data conversion rule, or the conversion rule can be modified in real time and dynamically updated according to the conversion requirement in the data conversion instruction. For example, under the common type of sub-converter, configure "{"Y":"1","N":"2" in the second field }” means that the Y in the corresponding data will be converted to 1, and N will be converted to 2. In the process of updating the second field according to the conversion requirements, the content to be updated should also include the parameters of the third field and the fourth field value.

In the third field used to indicate the source of the exchanged data, part of the data to be converted in the exchanged data should be configured. Specifically, the data set corresponding to the data conversion can be written in it, or it can be configured as the location where the data is located. Specific path. In the process of data conversion processing, all interactive data under the specific path will be converted according to the conversion rules.

In the fourth field used to indicate the operating status of different types of sub-converters, the specific parameter values can be dynamically modified in real time to adapt to changes in conversion requirements. In an implementation of this proposal, "Y" indicates that the operating state of the sub-converter is active, and "N" indicates that the operating state of the sub-converter is inactive. When a certain sub-converter needs to be called, the parameter value under the fourth field associated with the sub-converter is changed to "Y" in the parameter table, and it is changed to "N" when the call is stopped.

In a specific implementation of the embodiment of the present application, the step 2033 includes: for each parameter value of the first field, one or more parameter values are associated under the second field, so that each sub The converter is configured with one or more conversion rules.

When performing data conversion, according to the change of the conversion rule, the parameter value needs to be modified under the corresponding second field. If the conversion rule needs to be modified and updated every time the conversion rule changes, it will be a waste of time.

Therefore, for some interactive scenes that need to switch under multiple conversion rules, you can configure multiple conversion rules for each seed converter in the second field in advance. When you need to update the conversion rules, first configure multiple conversion rules in advance. Match in the conversion rules to check whether there are conversion rules that meet the update requirements.

Further, the conversion request specifies the type of the sub-converter and carries the conversion rule, and the step 203 includes the step of matching the first in the parameter table based on the type of the sub-converter specified in the conversion request. If the parameter value of the field is matched with the parameter value of the second field based on the conversion rule specified in the conversion requirement, the parameter value of the second field is matched to confirm whether there is a parameter value that meets the conversion rule; if Yes, set the corresponding parameter value under the second field to the active state, and cancel other parameter values under the second field; if not, add an active parameter value under the second field to Record the conversion rule, and log out other parameter values under the second field.

Pre-configure multiple conversion rules in the second field or record the conversion rules in the historical scene as the historical conversion rule. According to the sub-converter type and conversion rule specified in the data conversion instruction, first according to the sub-converter type Match the parameter value of the first field in the parameter table, and then match the parameter value under the second field associated with the parameter value.

If the parameter value in the second field conforms to the conversion rule in the data conversion instruction, the corresponding parameter value is set to the active state as the current conversion rule, and all other parameter values as the historical conversion rule are cancelled to apply the data conversion The conversion rules in the instruction update the parameter table. When the next conversion rule is updated, the historical conversion rule can be matched first. If there is a match, the current conversion rule will be cancelled, recorded and marked as a historical conversion rule, and the matched historical conversion rule will be activated as the update After the conversion rules. In a specific implementation, when a certain sub-converter is called, the historical conversion rules recorded under the sub-converter can also be displayed through a visual interactive interface for the user to directly select.

In a further specific implementation manner of the present application, the conversion request specifies the execution sequence of the sub-converters, and the step of configuring a number of function fields in the parameter table includes: configuring a function field for determining The fifth field of the execution order of the sub-converter.

The step of setting an association relationship between different function fields includes: associating a parameter value of the fifth field with each parameter value of the first field.

The step 203 includes: updating the parameter value of the fifth field in the parameter table based on the execution sequence of the sub-converters specified in the conversion requirement.

In some specific interaction scenarios, it is also necessary to specify the order in which data conversion is performed on the interaction data, especially for different types of sub-converters. Therefore, after receiving the data conversion instruction and obtaining the conversion requirements, if there are The execution sequence of the sub-converters is used to update the parameter value of the fifth field in the parameter table to set the execution sequence among the multiple sub-converters to be applied. Therefore, when the data converter is called and multiple sub-converters are used, the data conversion is performed on the interactive data in the order of execution between the sub-converters specified in the updated parameter table.

Step 204: Perform data conversion processing on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.

After the data converter is updated, the data conversion process can be conveniently performed through the data converter, and finally the interactive data is converted into the required data, and the data connection between the interactive systems is completed.

A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing relevant hardware through a computer program. The computer program can be stored in a computer readable storage medium, and the program can be stored in a computer readable storage medium. When executed, it may include the procedures of the above-mentioned method embodiments. Among them, the aforementioned storage medium may be a magnetic disk, an optical disk, a read-only storage memory (Read-Only Memory, ROM) and other non-volatile storage media, or random storage memory (Random Access Memory, RAM) etc.

It should be understood that although the various steps in the flowchart of the drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless explicitly stated in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the order of execution is also It is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

With further reference to Fig. 3, Fig. 3 shows a schematic structural diagram of an embodiment of the artificial intelligence-based data interaction conversion apparatus in the embodiment of the present application. As an implementation of the method shown in FIG. 2, this application provides an embodiment of an artificial intelligence-based data exchange conversion device. The device embodiment corresponds to the method embodiment shown in FIG. Used in various electronic devices.

As shown in FIG. 3, the artificial intelligence-based data interactive conversion device in this embodiment includes: a data receiving module 301; used to receive interactive data to be converted. Instruction acquisition module 302; used to acquire a data conversion instruction for processing the interactive data, and call a data converter in response to the data conversion instruction, and the data conversion instruction is set with a conversion requirement. Converter update module 303; configured to configure the parameter table of the data converter based on the conversion requirements to update the data converter. Data conversion module 304; used to perform data conversion processing on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.

In some embodiments of the present application, the instruction acquisition module 302 further includes: a scene matching sub-module. The scene matching submodule is used to sequentially obtain the system identifiers of the sender and the receiver during data interaction; sequentially match the preset interaction scene table according to the system identifiers of the sender and the receiver; when interacting with one of the interaction scene tables When the standard scene is matched, the data conversion instruction corresponding to the matched standard scene is obtained. Wherein, the receiver is a current server, and the sender is another server that sends the interactive data to the current server.

In a specific implementation of the embodiment of the present application, the artificial intelligence-based data interaction conversion module further includes: an instruction confirmation module. After the scene matching submodule obtains the data conversion instruction corresponding to the matched standard scene, the instruction confirmation module is used to send a confirmation instruction for the conversion requirement to the target user, and the confirmation instruction is used to confirm all Whether the conversion requirement in the data conversion instruction is the same as the conversion requirement expected by the target user; if it is different, the expected conversion requirement is obtained from the target user, and the conversion requirement in the data conversion instruction is replaced with the target user The desired conversion requires to update the data conversion instruction.

In some embodiments of the present application, the artificial intelligence-based data interaction conversion module further includes: a converter configuration module. The data converter is configured with several different types of sub-converters. Before the converter update module 303 configures the parameter table of the data converter based on the conversion requirements, the converter configuration module uses In the database, a parameter table is established for the data converter; a number of function fields are configured in the parameter table; and the association relationship between different function fields is set. Wherein, the function field includes a first field for distinguishing the type of the sub-converter, a second field for storing conversion rules, a third field for indicating the source of exchanged data, and a third field for indicating the operation of different types of converters. The fourth field of the status.

In a specific implementation of the embodiment of the present application, the converter configuration module is used to associate one or more parameter values under the second field for each parameter value of the first field, so that each parameter value is One sub-converter is configured with one or more conversion rules.

Further, the conversion request specifies the type of the sub-converter and carries conversion rules, and the converter update module 303 is further configured to match the parameter table based on the type of the sub-converter specified in the conversion request. According to the conversion rule specified in the conversion requirement, match the parameter value of the second field under the parameter value of the matched first field based on the conversion rule specified in the conversion requirement, and confirm whether there is a parameter that meets the conversion rule Value; if so, set the corresponding parameter value under the second field to the active state, and cancel other parameter values under the second field; if not, add an active state under the second field The parameter value is used to record the conversion rule, and to cancel other parameter values under the second field.

In a further specific implementation of the present application, the conversion request specifies the execution order of the sub-converters, and the converter configuration module is used to configure a function field for determining the execution order of the sub-converters. The fifth field: Associate a parameter value of the fifth field with each parameter value of the first field. The converter update module 303 is configured to update the parameter value of the fifth field in the parameter table based on the execution sequence of the sub-converters specified in the conversion request.

In order to solve the above technical problems, the embodiments of the present application also provide computer equipment. Please refer to FIG. 4 for details. FIG. 4 is a block diagram of the basic structure of the computer device in this embodiment.

The computer device 6 includes a memory 61, a processor 62, and a network interface 63 that are mutually communicatively connected via a system bus. It should be pointed out that the figure only shows the computer device 6 with components 61-63, but it should be understood that it is not required to implement all of the illustrated components, and more or fewer components may be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculation and/or information processing in accordance with pre-set or stored instructions. Its hardware includes, but is not limited to, a microprocessor, a dedicated Integrated Circuit (Application Specific Integrated Circuit, ASIC), Programmable Gate Array (Field-Programmable Gate Array, FPGA), digital processor (Digital Signal Processor, DSP), embedded equipment, etc.

The computer device may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The computer device can interact with the user through a keyboard, a mouse, a remote control, a touch panel, or a voice control device.

The memory 61 includes at least one type of readable storage medium, the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static Random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disks, optical disks, etc. In some embodiments, the memory 61 may be an internal storage unit of the computer device 6, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk equipped on the computer device 6, a smart memory card (Smart Memory Card). Media Card, SMC), Secure Digital (Secure Digital, SD) card, flash memory card (Flash Card) and so on. Of course, the memory 61 may also include both the internal storage unit of the computer device 6 and its external storage device. In this embodiment, the memory 61 is generally used to store an operating system and various application software installed in the computer device 6, such as program code of a data interactive conversion method based on artificial intelligence. In addition, the memory 61 can also be used to temporarily store various types of data that have been output or will be output.

In some embodiments, the processor 62 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor 62 is generally used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is configured to run the program code or process data stored in the memory 61, for example, run the program code of the artificial intelligence-based data interactive conversion method.

The network interface 63 may include a wireless network interface or a wired network interface, and the network interface 63 is generally used to establish a communication connection between the computer device 6 and other electronic devices.

This application also provides another implementation manner, that is, a computer-readable storage medium storing a data interaction conversion program based on artificial intelligence, and the artificial intelligence-based data interaction conversion program can be Is executed by at least one processor, so that the at least one processor executes the steps of the above-mentioned artificial intelligence-based data interactive conversion method. Optionally, the computer-readable storage medium may be a non-volatile storage medium or a volatile storage medium.

Through the description of the above implementation manners, those skilled in the art can clearly understand that the above-mentioned embodiment method can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to enable a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the method described in each embodiment of the present application.

In the foregoing embodiments provided in this application, it should be understood that the disclosed device and method may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other divisions in actual implementation, for example, multiple modules or components may be combined. Or it can be integrated into another system, or some features can be ignored or not implemented.

The modules or components may or may not be physically separated, and the components displayed as modules or components may or may not be physical modules, and may be located in one place or distributed on multiple network units. Some or all of the modules or components may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

This application is not limited to the above-mentioned embodiments. The above are the preferred embodiments of the application. This embodiment is only used to illustrate the application and not to limit the scope of the application. It should be noted that for those of ordinary skill in the art Without departing from the principle of this application, it is still possible to make several improvements and modifications to the technical solutions described in the foregoing specific embodiments, or to equivalently replace some of the technical features. All equivalent structures made by using the contents of the description and drawings of this application, directly or indirectly used in other related technical fields, shall be deemed to be included in the scope of protection of this application.

Obviously, the embodiments described above are only a part of the embodiments of the present application, rather than all of the embodiments. The drawings show preferred embodiments of the present application, but do not limit the patent scope of the present application. This application can be implemented in many different forms. On the contrary, the purpose of providing these examples is to make the understanding of the disclosure of this application more thorough and comprehensive. Although this application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it is still possible for those skilled in the art to modify the technical solutions described in each of the foregoing specific embodiments, or equivalently replace some of the technical features. . Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work, as well as any equivalent structures made using the contents of the description and drawings of this application, are directly or indirectly used in Other related technical fields are similarly within the scope of the patent protection of this application.

Claims

An artificial intelligence-based data interactive conversion method, which includes:

Receive interactive data to be converted;

Acquiring a data conversion instruction used to process the interactive data, and invoking a data converter in response to the data conversion instruction, where a conversion requirement is set in the data conversion instruction;

Configure the parameter table of the data converter based on the conversion requirement to update the data converter;

Data conversion processing is performed on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.
The method for data interactive conversion based on artificial intelligence according to claim 1, wherein the step of obtaining a data conversion instruction for processing the interactive data comprises:

Sequentially acquiring the system identifiers of the sender and receiver during data interaction, where the receiver is the current server, and the sender is another server that sends the interaction data to the current server;

Match the preset interactive scene table in sequence according to the system identifiers of the sender and the receiver;

When it matches a standard scene in the interactive scene table, a data conversion instruction corresponding to the matched standard scene is acquired.
The artificial intelligence-based data interactive conversion method according to claim 2, wherein, after the step of obtaining the data conversion instruction corresponding to the matched standard scene, the method further comprises the step of:

Sending a confirmation instruction for the conversion requirement to the target user, where the confirmation instruction is used to confirm whether the conversion requirement in the data conversion instruction is the same as the conversion requirement expected by the target user;

If they are different, the desired conversion requirement is obtained from the target user, and the conversion requirement in the data conversion instruction is replaced with the conversion requirement expected by the target user to update the data conversion instruction.
The artificial intelligence-based data interactive conversion method according to claim 1, wherein a plurality of different types of sub-converters are configured in the data converter, and the parameters of the data converter are configured based on the conversion requirements Before the steps of the table, the method further includes the steps:

Establishing a parameter table for the data converter in the database;

A number of functional fields are configured in the parameter table. The functional fields include a first field for distinguishing the type of the sub-converter, a second field for storing conversion rules, a third field for indicating the source of the exchanged data, and The fourth field used to indicate the operating status of different types of converters;

Set the association relationship between different function fields.
The method for data interactive conversion based on artificial intelligence according to claim 4, wherein the step of setting an association relationship between different functional fields comprises:

For each parameter value of the first field, one or more parameter values are associated under the second field to configure one or more conversion rules for each sub-converter.
The artificial intelligence-based data interactive conversion method according to claim 5, wherein the conversion request specifies the type of the sub-converter and carries conversion rules, and the configuration of the data converter based on the conversion request The steps of the parameter table include:

Based on the type of the sub-converter specified in the conversion request, match the parameter value of the first field in the parameter table, and then based on the conversion rule specified in the conversion request, under the matched parameter value of the first field Match the parameter value under the second field, and confirm whether there is a parameter value that complies with the conversion rule;

If yes, set the corresponding parameter value under the second field to the activated state, and cancel other parameter values under the second field;

If not, add an activated parameter value under the second field to record the conversion rule, and cancel other parameter values under the second field.
The artificial intelligence-based data interactive conversion method according to claim 4, wherein the conversion request specifies the execution sequence of the sub-converters, and the step of configuring a plurality of function fields in the parameter table comprises:

Configure a fifth field in the function field to determine the execution order of the sub-converters;

The step of setting an association relationship between different function fields includes: associating a parameter value of the fifth field with each parameter value of the first field;

The step of configuring the parameter table of the data converter based on the conversion requirement includes:

The parameter value of the fifth field in the parameter table is updated based on the execution sequence of the sub-converters specified in the conversion requirement.
An artificial intelligence-based data interactive conversion device, which includes:

The data receiving module is used to receive the interactive data to be converted;

An instruction acquisition module, configured to acquire a data conversion instruction for processing the interactive data, and call a data converter in response to the data conversion instruction, the data conversion instruction is set with a conversion requirement;

A converter update module, configured to configure the parameter table of the data converter based on the conversion requirement to update the data converter;

The data conversion module is configured to perform data conversion processing on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.
A computer device includes a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the following steps when the processor executes the computer program:

Receive interactive data to be converted;

Acquiring a data conversion instruction used to process the interactive data, and invoking a data converter in response to the data conversion instruction, where a conversion requirement is set in the data conversion instruction;

Configure the parameter table of the data converter based on the conversion requirement to update the data converter;

Data conversion processing is performed on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.
The computer device according to claim 9, wherein when the processor executes the data conversion instruction for processing the interactive data, the following steps are specifically executed:

Sequentially acquiring the system identifiers of the sender and receiver during data interaction, where the receiver is the current server, and the sender is another server that sends the interaction data to the current server;

Match the preset interactive scene table in sequence according to the system identifiers of the sender and the receiver;

When it matches a standard scene in the interactive scene table, a data conversion instruction corresponding to the matched standard scene is acquired.
The computer device according to claim 9, wherein a plurality of different types of sub-converters are configured in the data converter, and the processor executes the step of configuring the parameter table of the data converter based on the conversion requirements Previously, the following steps were also performed:

Establishing a parameter table for the data converter in the database;

A number of functional fields are configured in the parameter table. The functional fields include a first field for distinguishing the type of the sub-converter, a second field for storing conversion rules, a third field for indicating the source of the exchanged data, and The fourth field used to indicate the operating status of different types of converters;

Set the association relationship between different function fields.
The computer device according to claim 11, wherein when the processor executes setting the association relationship between different function fields, the following steps are specifically executed:

For each parameter value of the first field, one or more parameter values are associated under the second field to configure one or more conversion rules for each sub-converter.
The computer device according to claim 12, wherein the conversion request specifies the type of the sub-converter and carries a conversion rule, and the processor executes the configuration of the parameters of the data converter based on the conversion request When making a table, perform the following steps:

Based on the type of the sub-converter specified in the conversion request, match the parameter value of the first field in the parameter table, and then based on the conversion rule specified in the conversion request, under the matched parameter value of the first field Match the parameter value under the second field, and confirm whether there is a parameter value that complies with the conversion rule;

If yes, set the corresponding parameter value under the second field to the activated state, and cancel other parameter values under the second field;

If not, add an activated parameter value under the second field to record the conversion rule, and cancel other parameter values under the second field.
A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the following steps are implemented:

Receive interactive data to be converted;

Acquiring a data conversion instruction used to process the interactive data, and invoking a data converter in response to the data conversion instruction, where a conversion requirement is set in the data conversion instruction;

Configure the parameter table of the data converter based on the conversion requirement to update the data converter;

Data conversion processing is performed on the interactive data through the updated data converter to obtain the interactive conversion data required by the target user.
The computer-readable storage medium according to claim 14, wherein, when the data conversion instruction for processing the interactive data is acquired, the computer program is executed by a processor to specifically implement the following steps:

Sequentially acquiring the system identifiers of the sender and receiver during data interaction, where the receiver is the current server, and the sender is another server that sends the interaction data to the current server;

Match the preset interactive scene table in sequence according to the system identifiers of the sender and the receiver;

When it matches a standard scene in the interactive scene table, a data conversion instruction corresponding to the matched standard scene is acquired.
The computer-readable storage medium according to claim 15, wherein, after the step of obtaining the data conversion instruction corresponding to the matched standard scene, the computer program is further used to be executed by the processor to implement the following steps :

Sending a confirmation instruction for the conversion requirement to the target user, where the confirmation instruction is used to confirm whether the conversion requirement in the data conversion instruction is the same as the conversion requirement expected by the target user;

If they are different, the desired conversion requirement is obtained from the target user, and the conversion requirement in the data conversion instruction is replaced with the conversion requirement expected by the target user to update the data conversion instruction.
The computer-readable storage medium according to claim 14, wherein a plurality of different types of sub-converters are configured in the data converter, and the step of configuring the parameter table of the data converter based on the conversion requirements Previously, the computer program was also used to be executed by the processor to implement the following steps:

Establishing a parameter table for the data converter in the database;

A number of functional fields are configured in the parameter table. The functional fields include a first field for distinguishing the type of the sub-converter, a second field for storing conversion rules, a third field for indicating the source of the exchanged data, and The fourth field used to indicate the operating status of different types of converters;

Set the association relationship between different function fields.
18. The computer-readable storage medium according to claim 17, wherein when the association relationship between different functional fields is set, the computer program is executed by a processor to specifically implement the following steps:

For each parameter value of the first field, one or more parameter values are associated under the second field to configure one or more conversion rules for each sub-converter.
The computer-readable storage medium according to claim 18, wherein the conversion request specifies the type of the sub-converter and carries a conversion rule, and when the parameter table of the data converter is configured based on the conversion request , The computer program is executed by the processor to specifically implement the following steps:

Based on the type of the sub-converter specified in the conversion request, match the parameter value of the first field in the parameter table, and then based on the conversion rule specified in the conversion request, under the matched parameter value of the first field Match the parameter value under the second field, and confirm whether there is a parameter value that complies with the conversion rule;

If yes, set the corresponding parameter value under the second field to the activated state, and cancel other parameter values under the second field;

If not, add an activated parameter value under the second field to record the conversion rule, and cancel other parameter values under the second field.
The computer-readable storage medium according to claim 17, wherein the conversion request specifies an execution sequence of the sub-converters, and when a plurality of function fields are configured in the parameter table, the computer program is executed by the processor To implement the following steps:

Configure a fifth field in the function field to determine the execution order of the sub-converters;

The step of setting an association relationship between different function fields includes: associating a parameter value of the fifth field with each parameter value of the first field;

The step of configuring the parameter table of the data converter based on the conversion requirement includes:

The parameter value of the fifth field in the parameter table is updated based on the execution sequence of the sub-converters specified in the conversion requirement.