Business processing flow configuration method, device and electronic equipment

Abstract

The configuration method, device and electronic device of the business processing flow provided by the present application relate to the field of data processing technology. In the present application, the data source is configured and processed. The business processing rules of the input data are configured, and the electronic device is used to process the input data according to the business processing rules to output target output data, wherein the electronic device also outputs at least one intermediate processing data in the process of processing the input data according to the business processing rules, and the target output data is obtained by the electronic device processing the at least one intermediate processing data according to the business processing rules. The verification rules of the business processing rules are configured, and the electronic device is used to extract at least one intermediate processing data according to the verification rules to verify the business processing rules. Based on the above method, the problem of poor management and control effect of the business processing flow in the prior art can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, device and electronic device for configuring a business processing flow. Background Art

[0002] With the rapid development of internet technology, traditional finance has been continuously upgraded and developed through its integration with internet and information technologies, forming an emerging model of internet finance. Internet finance primarily operates in areas such as credit, investment, and payment. An increasing number of financial technology platforms are emerging, combining internet data from various users to conduct credit risk control reviews. In particular, personal credit assessment and anti-fraud efforts require accurate assessment of user credit ratings to prevent identity fraud, agent fraud, and false information from influencing the system's assessment of users. However, the inventors have discovered that existing personal credit risk control platforms lack a solution for configuring business flows based on the credit process, resulting in poor control over business processing flows. Summary of the Invention

[0003] In view of this, the purpose of this application is to provide a method, device and electronic device for configuring a business processing flow, so as to improve the problem of poor management and control effect of the business processing flow in the prior art.

[0004] To achieve the above objectives, the embodiments of the present application adopt the following technical solutions:

[0005] A method for configuring a business process flow, applied to an electronic device, the method comprising:

[0006] Performing configuration processing on a data source, where the data source is used to identify a source of input data;

[0007] configuring a business processing rule for the input data, the electronic device being configured to process the input data according to the business processing rule to output target output data, wherein the electronic device further outputs at least one piece of intermediate processed data during the process of processing the input data according to the business processing rule, and the target output data is obtained by the electronic device processing the at least one piece of intermediate processed data according to the business processing rule;

[0008] A verification rule of the business processing rule is configured, and the electronic device is used to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule.

[0009] In a preferred embodiment of the present application, in the configuration method of the above-mentioned business processing flow, the step of configuring the data source includes:

[0010] In a case where the data source of the input data belongs to the electronic device, determining a data number corresponding to the input data according to a credit application scenario of the input data, so as to identify the corresponding input data by the data number;

[0011] In the case where the data source of the input data belongs to a third-party data source, the access address, authentication data and request method corresponding to the third-party data source are determined to identify the corresponding input data through the access address, authentication data and request method corresponding to the third-party data source.

[0012] In a preferred embodiment of the present application, in the above-mentioned method for configuring the business processing flow, the step of configuring the business processing rules for the input data includes:

[0013] Decomposing the business processing rules of the input data to form a plurality of business processing nodes, wherein the node types of the plurality of business processing nodes include at least one type, and the at least one type includes a rule node type, a calculation node type, and a model node type;

[0014] A node processing rule is configured for each of the plurality of service processing nodes, so that the service processing node processes data input to the service processing node according to the configured node processing rule.

[0015] In a preferred embodiment of the present application, in the above-mentioned method for configuring a business processing flow, the step of configuring a node processing rule for each of the multiple business processing nodes so that the business processing node processes data input to the business processing node according to the configured node processing rule includes:

[0016] In the case that the node type of the business processing node is a rule node type, the configuration processing of the node processing rule of the business processing node includes: configuring a threshold rule for processing numerical type data, and configuring a matching rule for processing string type data.

[0017] In a preferred embodiment of the present application, in the above-mentioned method for configuring a business processing flow, the step of configuring a node processing rule for each of the multiple business processing nodes so that the business processing node processes data input to the business processing node according to the configured node processing rule includes:

[0018] In the case that the node type of the service processing node belongs to the computing node type, the configuration process of the node processing rule of the service processing node includes: configuring a mathematical calculation method, configuring an interval mapping relationship, and configuring a character string conversion mapping relationship.

[0019] In a preferred embodiment of the present application, in the above-mentioned method for configuring a business processing flow, the step of configuring a node processing rule for each of the multiple business processing nodes so that the business processing node processes data input to the business processing node according to the configured node processing rule includes:

[0020] In the case that the node type of the business processing node is a computing node type, the configuration process of the node processing rule of the business processing node includes: configuring a code script, and the code script includes a python script, a groovy script or a java program package.

[0021] In a preferred embodiment of the present application, in the above-mentioned method for configuring a business processing flow, the step of configuring a node processing rule for each of the multiple business processing nodes so that the business processing node processes data input to the business processing node according to the configured node processing rule includes:

[0022] In the case where the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model number of the machine learning model, configuring the model parameters of the machine learning model, configuring the model application scenario of the machine learning model, and configuring the model framework type of the deep learning model.

[0023] In a preferred embodiment of the present application, in the above-mentioned method for configuring a business processing flow, the step of configuring a node processing rule for each of the multiple business processing nodes so that the business processing node processes data input to the business processing node according to the configured node processing rule includes:

[0024] In the case where the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model specification of the machine learning model, and configuring the model parsing rules of the machine learning model that does not belong to the general model standard specification.

[0025] The embodiment of the present application further provides a device for configuring a service processing flow, which is applied to an electronic device. The device for configuring a service processing flow includes:

[0026] A first configuration module is used to configure a data source, where the data source is used to identify a source of input data;

[0027] a second configuration module, configured to configure a business processing rule for the input data, the electronic device being configured to process the input data according to the business processing rule to output target output data, wherein the electronic device, in the process of processing the input data according to the business processing rule, further outputs at least one piece of intermediate processed data, the target output data being obtained by the electronic device processing the at least one piece of intermediate processed data according to the business processing rule;

[0028] The third configuration module is used to configure the verification rule of the business processing rule, and the electronic device is used to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule.

[0029] Based on the above, an embodiment of the present application further provides an electronic device, including:

[0030] Memory for storing computer programs;

[0031] The processor connected to the memory is used to execute the computer program stored in the memory to implement the above-mentioned configuration method of the business processing flow.

[0032] The configuration method, device and electronic device of the business processing flow provided in this application configure and process the data source. The business processing rules of the input data are configured, and the electronic device is used to process the input data according to the business processing rules to output the target output data, wherein the electronic device also outputs at least one intermediate processing data in the process of processing the input data according to the business processing rules, and the target output data is obtained by the electronic device processing at least one intermediate processing data according to the business processing rules. The verification rules of the business processing rules are configured, and the electronic device is used to extract at least one intermediate processing data according to the verification rules to verify the business processing rules. Through the above steps, it is possible to achieve a full and reliable configuration of the business processing flow, which not only configures the business processing rules for processing the input data, but also configures the verification rules for verifying the business processing rules. While ensuring that the input data (i.e., business data) can be processed, it can also include the reliability of the input data (guaranteeing the reliability of the business processing rules through verification rules), thereby improving the problem of poor management and control of the business processing flow in the prior art.

[0033] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a structural block diagram of the electronic device provided in an embodiment of the present application.

[0035] Figure 2 A flowchart of a method for configuring a business processing flow provided in an embodiment of the present application.

[0036] Figure 3 A block diagram of a device for configuring a business processing flow provided in an embodiment of the present application.

[0037] Icons: 10 - electronic device; 12 - memory; 14 - processor; 100 - business processing flow configuration device; 110 - first configuration module; 120 - second configuration module; 130 - third configuration module. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0039] like Figure 1 As shown, an embodiment of the present application provides an electronic device 10, which may include a memory 12, a processor 14 and a device 100 for configuring a business processing flow.

[0040] The memory 12 and the processor 14 are electrically connected directly or indirectly to realize data transmission or interaction. For example, they can be electrically connected to each other through one or more communication buses or signal lines. The business processing flow configuration device 100 includes at least one software function module that can be stored in the memory 12 in the form of software or firmware. The processor 14 is used to execute the executable computer program stored in the memory 12, for example, the software function module and computer program included in the business processing flow configuration device 100, so as to implement the business processing flow configuration method provided in the embodiment of the present application.

[0041] Optionally, the memory 12 can be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable read-only memory (EEPROM), etc.

[0042] Furthermore, the processor 14 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a system on chip (SoC), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0043] I understand. Figure 1 The structure shown is for illustration only. The electronic device 10 (for example, the electronic device 10 may be a server) may further include: Figure 1 More or fewer components than shown, or with Figure 1 The different configurations shown, for example, may further include a communication unit for exchanging information with other devices (such as terminal devices).

[0044] Combine Figure 2 The embodiment of the present application further provides a method for configuring a service processing flow applicable to the electronic device 10. The method steps defined in the flow related to the method for configuring the service processing flow can be implemented by the electronic device 10.

[0045] The following will Figure 2 The specific process shown is explained in detail.

[0046] Step 110: configure the data source.

[0047] In the embodiment of the present invention, the electronic device 10 may configure a data source, where the data source is used to identify a source of input data.

[0048] Step 120: configuring a business processing rule for the input data, and the electronic device is used to process the input data according to the business processing rule to output target output data.

[0049] In an embodiment of the present invention, the electronic device 10 can be configured with a business processing rule for the input data, and the electronic device is configured to process the input data according to the business processing rule to output target output data. In the process of processing the input data according to the business processing rule, the electronic device also outputs at least one piece of intermediate processed data, and the target output data is obtained by the electronic device processing the at least one piece of intermediate processed data according to the business processing rule.

[0050] Step 130: configuring a verification rule for the business processing rule, and the electronic device is used to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule.

[0051] In the embodiment of the present invention, the electronic device 10 may configure a verification rule for the business processing rule, and the electronic device is configured to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule.

[0052] Through the above steps, the business processing flow can be fully and reliably configured. Not only the business processing rules for processing the input data are configured, but also the verification rules for verifying the business processing rules are configured. While ensuring that the input data (i.e., business data) can be processed, the reliability of the input data can also be included (the reliability of the business processing rules is ensured through verification rules), thereby improving the problem of poor management and control of business processing flows in existing technologies.

[0053] First, it should be noted that for step 110 , the specific configuration content for configuring the data source is not limited and can be selected according to actual application requirements.

[0054] For example, in an alternative example, the step of configuring the data source, i.e., step 110, may further include the following:

[0055] In a case where the data source of the input data belongs to the electronic device (i.e., the input data belongs to data generated by the platform corresponding to the electronic device), a data number corresponding to the input data is determined based on the credit application scenario of the input data, so as to identify the corresponding input data by the data number (the credit application scenario may include pre-credit and post-credit. In addition, in other examples, the data number corresponding to the input data may also be determined based on the credit object of the input data, and the credit object may include consumer finance, banks, etc.);

[0056] In the case where the data source of the input data belongs to a third-party data source, the access address, authentication data and request method corresponding to the third-party data source are determined, so as to identify the corresponding input data through the access address, authentication data and request method corresponding to the third-party data source (illustratively, the business parameters corresponding to the third-party data source, etc. can also be determined).

[0057] For example, in an alternative example, the input data may be data directly uploaded by other electronic devices (such as terminal devices), and the data may be in the form of text, files, etc., or may be filled out and uploaded according to the provided form.

[0058] Secondly, it should be noted that for step 120 , the specific configuration content for configuring the business processing rules for the input data is not limited and can be selected according to actual application requirements.

[0059] For example, in an alternative example, the step of configuring the business processing rules of the input data, that is, step 120, may further include the following:

[0060] Decomposing the business processing rules of the input data to form a plurality of business processing nodes, wherein the node types of the plurality of business processing nodes include at least one type, and the at least one type includes a rule node type, a calculation node type, and a model node type;

[0061] A node processing rule is configured for each of the plurality of service processing nodes, so that the service processing node processes data input to the service processing node according to the configured node processing rule.

[0062] It is understandable that, in an alternative example, the step of configuring a node processing rule for each of the multiple service processing nodes so that the service processing node processes data input to the service processing node according to the configured node processing rule may further include the following:

[0063] In the case where the node type of the business processing node belongs to a rule node type, the configuration processing of the node processing rules of the business processing node includes: configuring a threshold rule for processing numerical type data (for example, it can be used to compare the size of the data with the threshold, such as greater than, equal to or less than the threshold), and configuring a matching rule for processing string type data (such as length matching, character inclusion matching, regular matching expression, etc.).

[0064] It is understandable that, in another alternative example, the step of configuring a node processing rule for each of the multiple service processing nodes so that the service processing node processes data input to the service processing node according to the configured node processing rule may further include the following:

[0065] When the node type of the business processing node belongs to the computing node type, the configuration processing of the node processing rules of the business processing node includes: configuring mathematical calculation methods (such as addition, subtraction, multiplication, division, logarithmic exponential operations, etc.), configuring interval mapping relationships, and configuring string conversion mapping relationships.

[0066] It is understandable that, in another alternative example, the step of configuring a node processing rule for each of the multiple service processing nodes so that the service processing node processes data input to the service processing node according to the configured node processing rule may further include the following:

[0067] In the case that the node type of the business processing node is a computing node type, the configuration process of the node processing rule of the business processing node includes: configuring a code script, and the code script includes a python script, a groovy script or a java program package.

[0068] It is understandable that, in another alternative example, the step of configuring a node processing rule for each of the multiple service processing nodes so that the service processing node processes data input to the service processing node according to the configured node processing rule may further include the following:

[0069] In the case where the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model number of the machine learning model (for example, the cleaned multidimensional data can be identified and judged by the machine learning model), configuring the model parameters of the machine learning model, configuring the model application scenario of the machine learning model, and configuring the model framework type of the deep learning model (such as TensorFlow, PyTorch, Caffe2, Keras, etc.).

[0070] It is understandable that, in another alternative example, the step of configuring a node processing rule for each of the multiple service processing nodes so that the service processing node processes data input to the service processing node according to the configured node processing rule may further include the following:

[0071] In the case that the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model specification of the machine learning model, configuring the model parsing rules of the machine learning model that does not belong to the general model standard specification (such as Predictive Model Markup Language, a data mining model that uses XML to describe and store) (for example, the machine learning model can be first identified by the model parsing rules, and then calculations can be performed based on the machine learning model).

[0072] Combine Figure 3 The embodiment of the present application further provides a device 100 for configuring a service process flow applicable to the electronic device 10. The device 100 for configuring a service process flow may include a first configuration module 110, a second configuration module 120, and a third configuration module 130.

[0073] The first configuration module 110 is used to configure the data source, and the data source is used to identify the source of the input data. In this embodiment, the first configuration module 110 can be used to perform Figure 2 As shown in step 110, for the relevant content of the first configuration module 110, reference can be made to the above description of step 110.

[0074] The second configuration module 120 is used to configure the business processing rules of the input data, and the electronic device is used to process the input data according to the business processing rules to output target output data, wherein the electronic device also outputs at least one intermediate processing data in the process of processing the input data according to the business processing rules, and the target output data is obtained by the electronic device processing the at least one intermediate processing data according to the business processing rules. In this embodiment, the second configuration module 120 can be used to perform Figure 2 As shown in step 120, for the relevant content of the second configuration module 120, reference can be made to the above description of step 120.

[0075] The third configuration module 130 is used to configure the verification rules of the business processing rules, and the electronic device is used to extract at least one intermediate processing data according to the verification rules to verify the business processing rules. In this embodiment, the third configuration module 130 can be used to perform Figure 2 As shown in step 130, for the relevant content of the third configuration module 130, reference can be made to the above description of step 130.

[0076] In an embodiment of the present application, corresponding to the above-mentioned method for configuring a business processing flow applied to the electronic device 10, a computer-readable storage medium is also provided. The computer-readable storage medium stores a computer program that, when executed, executes each step of the method for configuring the business processing flow. The steps executed when the aforementioned computer program is executed are not described in detail here. For reference, the above explanation of the method for configuring the business processing flow can be found in the preceding text.

[0077] In summary, the configuration method, device and electronic device of the business processing flow provided by the present application configure and process the data source. The business processing rules of the input data are configured, and the electronic device is used to process the input data according to the business processing rules to output the target output data, wherein the electronic device also outputs at least one intermediate processing data in the process of processing the input data according to the business processing rules, and the target output data is obtained by the electronic device processing at least one intermediate processing data according to the business processing rules. The verification rules of the business processing rules are configured, and the electronic device is used to extract at least one intermediate processing data according to the verification rules to verify the business processing rules. Through the above steps, a full and reliable configuration of the business processing flow can be achieved, which not only configures the business processing rules for processing the input data, but also configures the verification rules for verifying the business processing rules. While ensuring that the input data can be processed, it can also include the reliability of the input data (guaranteeing the reliability of the business processing rules through verification rules), thereby improving the problem of poor management and control of the business processing flow in the prior art.

[0078] In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device and method embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0079] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0080] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or partly contributed to the prior art or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, electronic device, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk. It should be noted that, in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such a process, method, article or device. Without further constraints, an element defined by the phrase "comprises a..." does not preclude the existence of additional identical elements in the process, method, article or apparatus that includes the element.

[0081] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for configuring a business process flow, characterized in that: Applied to electronic devices, the configuration method of the business processing flow includes: Performing configuration processing on a data source, where the data source is used to identify a source of input data; configuring a business processing rule for the input data, the electronic device being configured to process the input data according to the business processing rule to output target output data, wherein the electronic device further outputs at least one piece of intermediate processed data during the process of processing the input data according to the business processing rule, and the target output data is obtained by the electronic device processing the at least one piece of intermediate processed data according to the business processing rule; Configuring a verification rule for the business processing rule, wherein the electronic device is configured to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule; The step of configuring the business processing rules for the input data includes: Decomposing the business processing rules of the input data to form a plurality of business processing nodes, wherein the node types of the plurality of business processing nodes include at least one type, and the at least one type includes a rule node type, a calculation node type, and a model node type; Performing node processing rule configuration processing on each of the multiple business processing nodes, respectively, so that the business processing node processes data input to the business processing node according to the configured node processing rule, wherein: In the case where the node type of the business processing node is a rule node type, the configuration processing of the node processing rule of the business processing node includes: configuring a threshold rule for processing numerical type data, and configuring a matching rule for processing string type data; In the case where the node type of the business processing node is a computing node type, the configuration processing of the node processing rule of the business processing node includes: configuring a mathematical calculation method, configuring an interval mapping relationship, configuring a string conversion mapping relationship; or configuring a code script, wherein the code script includes a Python script, a Groovy script, or a Java program package; In the case where the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model number of the machine learning model, configuring the model parameters of the machine learning model, configuring the model application scenario of the machine learning model, and configuring the model framework type of the deep learning model; or, configuring the model specification of the machine learning model, and configuring the model parsing rules of the machine learning model that does not belong to the general model standard specification.

2. The method for configuring a business process flow according to claim 1, wherein: The step of configuring the data source includes: In a case where the data source of the input data belongs to the electronic device, determining a data number corresponding to the input data according to a credit application scenario of the input data, so as to identify the corresponding input data by the data number; In the case where the data source of the input data belongs to a third-party data source, the access address, authentication data and request method corresponding to the third-party data source are determined to identify the corresponding input data through the access address, authentication data and request method corresponding to the third-party data source.

3. A configuration device for a business processing flow, characterized in that: Applied to electronic equipment, the configuration device of the business processing flow includes: A first configuration module is used to configure a data source, where the data source is used to identify a source of input data; a second configuration module, configured to configure a business processing rule for the input data, the electronic device being configured to process the input data according to the business processing rule to output target output data, wherein the electronic device, in the process of processing the input data according to the business processing rule, further outputs at least one piece of intermediate processed data, the target output data being obtained by the electronic device processing the at least one piece of intermediate processed data according to the business processing rule; a third configuration module, configured to configure a verification rule of the business processing rule, wherein the electronic device is configured to extract at least one piece of the intermediate processing data according to the verification rule to verify the business processing rule; The second configuration module is specifically configured to: Decomposing the business processing rules of the input data to form a plurality of business processing nodes, wherein the node types of the plurality of business processing nodes include at least one type, and the at least one type includes a rule node type, a calculation node type, and a model node type; Performing node processing rule configuration processing on each of the multiple business processing nodes, respectively, so that the business processing node processes data input to the business processing node according to the configured node processing rule, wherein: In the case where the node type of the business processing node is a rule node type, the configuration processing of the node processing rule of the business processing node includes: configuring a threshold rule for processing numerical type data, and configuring a matching rule for processing string type data; In the case where the node type of the business processing node is a computing node type, the configuration processing of the node processing rule of the business processing node includes: configuring a mathematical calculation method, configuring an interval mapping relationship, configuring a string conversion mapping relationship; or configuring a code script, wherein the code script includes a Python script, a Groovy script, or a Java program package; In the case where the node type of the business processing node belongs to the model node type, the configuration processing of the node processing rules of the business processing node includes: configuring the model number of the machine learning model, configuring the model parameters of the machine learning model, configuring the model application scenario of the machine learning model, and configuring the model framework type of the deep learning model; or, configuring the model specification of the machine learning model, and configuring the model parsing rules of the machine learning model that does not belong to the general model standard specification.

4. An electronic device, characterized in that: include: Memory for storing computer programs; A processor connected to the memory is used to execute the computer program stored in the memory to implement the configuration method of the business processing flow according to any one of claims 1-2.

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