Data verification method based on workflow technology and related equipment

Abstract

One or more embodiments of the invention provide a data verification method based on a workflow technology and related equipment. The method comprises the following steps: determining a verification template according to a user instruction, wherein the verification template comprises verification link configuration and data standard configuration; acquiring data of a target source end; and generating verification rules according to the verification link configuration, the data standard configuration and the data of the target source end, wherein each verification rule uniquely corresponds to the target source end. Through the technical scheme provided by the invention, the data verification result accuracy and the system data verification efficiency can be effectively improved.

Description

Technical Field

[0001] One or more embodiments of the present application relate to the field of computer technology, and in particular, to a data verification method and related equipment based on workflow technology. Background Art

[0002] Data Quality Management (DQM) technologies are tools and methods to ensure that data maintains high quality throughout its life cycle. These technologies are designed to help companies monitor, evaluate, clean, correct, standardize and optimize their data to ensure key quality dimensions such as data accuracy, completeness, consistency, and timeliness.

[0003] Data verification is an important part of data quality management. It supports enterprises to customize rules and standards and complete personalized audit needs to help enterprises identify data quality problems, correct errors in a timely manner, and ensure that data maintains high quality throughout its entire life cycle from source to use.

[0004] Workflow technology is a type of technology used to design, execute, manage and optimize workflows (work processes or task flows). A workflow is a series of tasks or operations that are performed in a specific order and according to specific rules, and it usually involves multiple people, systems or organizational units. Workflow technology helps automate and optimize these task flows to ensure efficient operation and coordination of business processes.

[0005] Related technologies use workflow technology to encapsulate the enterprise's data verification rules in the target enterprise system, so as to verify and manage the enterprise data, thereby reducing the enterprise's labor costs while ensuring data quality.

[0006] However, the data verification model based on workflow technology needs to be instantiated before running. The workflow management tool in the relevant technical solution does not provide corresponding means for the simulation of the data verification model and the statistics and analysis of the simulation data, which is not conducive to the effective integration of various stages of process change management. Summary of the invention

[0007] In view of this, an object of one or more embodiments of the present application is to propose a data verification method and related devices based on workflow technology to solve the problems raised by the background technology.

[0008] Based on the above objectives, one or more embodiments of the present application provide a data verification method based on workflow technology, including:

[0009] Determine a verification template according to a user instruction, wherein the verification template includes a verification link configuration and a data standard configuration;

[0010] Get the data from the target source;

[0011] Verification rules are generated according to the verification link configuration, data standard configuration and data of the target source end, and each verification rule uniquely corresponds to the target source end.

[0012] Optionally, generating verification rules according to the verification link configuration, the data standard configuration and the data of the target source end includes:

[0013] Defining a business scenario for data verification according to the verification link configuration to obtain a business scenario definition;

[0014] Defining the data quality of data verification according to the data standard configuration to obtain a data quality definition;

[0015] Generate basic verification rules according to the business scenario definition and the data quality definition;

[0016] According to the data of the target source end, the parameters of the basic verification rule are adjusted to obtain the verification rule.

[0017] Optionally, it also includes:

[0018] According to the verification rules and the operator of the target source end, the authority of the operator is allocated, and the corresponding task is assigned to the operator.

[0019] Optionally, it also includes:

[0020] Obtain result feedback of the target source end on the verification rule;

[0021] Based on the result feedback, the verification rules are optimized.

[0022] Optionally, it also includes:

[0023] Performing real-time monitoring on the data involved in the verification rule generation process and the data involved in the adjustment process to obtain monitoring information;

[0024] The monitoring information is stored as log information.

[0025] Optionally, the data is obtained from a database at the target source end.

[0026] Based on the same inventive concept, one or more embodiments of the present application further provide a data verification device based on workflow technology, including:

[0027] A verification template determination module is configured to determine a verification template according to a user instruction, wherein the verification template includes a verification link configuration and a data standard configuration;

[0028] A data acquisition module, configured to acquire data from a target source end;

[0029] The verification rule generation module is configured to generate verification rules according to the verification link configuration, the data standard configuration and the data of the target source end, and each verification rule uniquely corresponds to the target source end.

[0030] Optionally, a verification rule feedback module is also included.

[0031] The method is configured to obtain result feedback of the target source end on the verification rule; and optimize the verification rule based on the result feedback.

[0032] Based on the same inventive concept, one or more embodiments of the present application also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the data verification method based on workflow technology as described in any one of the above items is implemented.

[0033] Based on the same inventive concept, one or more embodiments of the present application also provide a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute any of the above-mentioned data verification methods based on workflow technology.

[0034] From the above, it can be seen that the data verification method based on workflow technology provided by one or more embodiments of the present application determines the verification template according to user instructions, and the verification template includes a verification link configuration and a data standard configuration; obtains the data of the target source end; generates verification rules according to the verification link configuration, the data standard configuration and the data of the target source end, and each verification rule uniquely corresponds to the target source end.

[0035] The technical solution of this application can generate verification rules that are uniquely corresponding to the target source end according to the data of the target source end, and provide a simulation environment for the data verification model. This application can effectively improve the effectiveness of the data verification model, improve the efficiency of data verification, and the accuracy of data verification results, and further improve the management effect of the enterprise.

[0036] The data verification device, electronic device and computer-readable storage medium based on workflow technology provided in the present application can implement the steps of the data verification method based on workflow technology, and therefore also have the beneficial effects of the data verification method based on workflow technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate one or more embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only one or more embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A schematic diagram of a data verification method based on workflow technology according to one or more embodiments of the present application;

[0039] Figure 2 A schematic diagram of a data verification device based on workflow technology according to one or more embodiments of the present application;

[0040] Figure 3 A schematic diagram of a data verification device based on workflow technology according to one or more embodiments of the present application;

[0041] Figure 4 A schematic diagram of the hardware structure of an electronic device according to one or more embodiments of the present application. DETAILED DESCRIPTION

[0042] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0043] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present application should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in one or more embodiments of the present application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0044] refer to Figure 1 The data verification method based on workflow technology in one or more embodiments of the present application includes the following steps:

[0045] Step S101: determining a verification template according to a user instruction, wherein the verification template includes a verification link configuration and a data standard configuration;

[0046] Step S102: Acquire data from the target source end;

[0047] Step S103: Generate verification rules according to the above verification link configuration, data standard configuration and the data of the above target source end, and each verification rule uniquely corresponds to the target source end.

[0048] The technical solution of this application aims to perform efficient and accurate verification of source data based on specific verification rules and workflows to ensure the integrity, accuracy and consistency of the data. The above verification template is the basis for adjusting the verification rules that are finally generated.

[0049] In an embodiment of the present application, the above-mentioned verification template can be generated according to user instructions. User instructions can set the configuration parameters of the verification template through a preset visualization tool, or select a verification template from a preset verification template database through a preset visualization tool. Among them, through the preset visualization tool, the user does not need to have an in-depth understanding of complex programming knowledge or the underlying details of the workflow engine, and can build or modify the data set verification process and rules through simple operations such as dragging and dropping and setting parameters. The visualization tool can also provide a real-time preview function, so that the user can intuitively see the running effect of the verification process and possible problems during the editing process, which is convenient for timely adjustment and optimization.

[0050] In the process of implementing this application, the applicant took into account that the current workflow technology still basically adopts process Figure 1 The workflow description language is a simple description of the process and does not include the uncertainty processing mechanism that exists in the enterprise process system.

[0051] Therefore, the verification template of this application includes verification link configuration and data standard configuration. Verification link configuration means the verification link of data verification is personalized according to the data filling, data verification and other scenarios of the target system that needs data verification. Data standard configuration means the data verification standard is personalized according to the data characteristics and data audit requirements of the target system.

[0052] In the process of implementing this application, the applicant found that the verification mechanism of the relevant technology still lacks an efficient and accurate verification mechanism. The reason is that most systems with data collection functions are relatively complex and large, and the cost of formulating targeted verification rules for different systems is high. Subsequent maintenance and expansion also rely on professional staff, which is difficult to implement. Therefore, for many industry-specific application scenarios, there is an urgent need for a solution that can ensure the accuracy and integrity of data collection and has lightweight characteristics.

[0053] Therefore, the present application proposes to obtain source data from the target source end on the basis of the verification template and adjust configuration parameters according to the data of the target source end to meet the data collection requirements in different scenarios.

[0054] The target source end in step S102 represents the starting point or sender of the data in the target system architecture. The data of the target source end may include databases of various types of data at the source end, such as key-value databases, document databases, column-oriented databases, and graph databases.

[0055] In the embodiments of the present application, the data may also be stored in a database after verification. In some embodiments, some commonly used data or recently verified data may also be cached at the same time to increase the speed of data query and reuse. In terms of data storage structure, a hierarchical storage method may be adopted to store data in different storage layers according to factors such as the importance and frequency of use of the data, so as to further optimize the storage and retrieval efficiency of the data, thereby fully realizing the goals of lightweight, efficient, flexible, easy to maintain and expand data set verification.

[0056] The verification rule generated in step S103 is the verification rule corresponding to the target system in a specific application scenario. The verification rule obtained by the technical solution of the present application has a unique corresponding relationship with the target source end.

[0057] In step S103, verification rules are generated according to the verification link configuration, the data standard configuration and the data of the target source end, which may include: defining the business scenario of data verification according to the above-mentioned verification link configuration to obtain a business scenario definition; defining the data quality of data verification according to the above-mentioned data standard configuration to obtain a data quality definition; generating basic verification rules according to the above-mentioned business scenario definition and the above-mentioned data quality definition; adjusting the parameters of the above-mentioned basic verification rules according to the data of the above-mentioned target source end to obtain the above-mentioned verification rules.

[0058] Business scenario definition refers to the process of describing specific processes, activities, and situations in a specific business environment, usually including a detailed analysis of business goals, participants, resources, processes, rules, and environment. The purpose of business scenario definition is to help enterprises understand and optimize their operating processes, identify potential problems or improvement opportunities, and provide a basis for decision-making. Data quality definition refers to the quality standards and requirements that verification data needs to meet, which are determined based on business needs and data standards. Data quality definition is a key step in the data verification process, which directly affects the formulation and implementation of subsequent verification rules, ensuring that the data can reach the expected quality level during the verification process.

[0059] In the above process, by analyzing information such as changes in business scenarios and adjustments to data collection rules, the parameters and logical relationships of the verification rules are automatically adjusted according to the data on the source side, thereby improving the adaptability of the verification rules to the target system and improving the data verification performance of the target system.

[0060] In order to further improve the effectiveness of the verification rules, the embodiments of the present application can also obtain the result feedback of the target source end on the above verification rules; based on the above result feedback, the above verification rules are optimized. For example, when the business scenario changes and the format or value range of some fields involved in data collection changes, the intelligent rule engine can quickly update the settings of the relevant management, control, allocation, and verification modules in the existing process without rebuilding the entire workflow.

[0061] In an embodiment of the present application, after obtaining the above-mentioned verification rules, the permissions of the above-mentioned operators can be allocated according to the above-mentioned verification rules and the operators of the above-mentioned target source end, and corresponding tasks can be assigned to the above-mentioned operators.

[0062] In addition, in the embodiments of the present application, the data involved in the verification rule generation process and the data involved in the adjustment process can also be monitored in real time to obtain monitoring information, and the monitoring information can be stored as log information to help the subsequent maintenance and expansion of the system.

[0063] Based on the above content, through this application, we can fully utilize the advantages of relational databases in different systems, build a simple and efficient data verification method, focus on meeting the needs of the core business of workflow, and abandon some overly complex and heavy functions in traditional workflow engines to achieve lightweight and efficient operation of the system, and quickly respond to task processing and message delivery requirements.

[0064] This application can also solve the problem that data collection processes are difficult to reuse, customize and integrate.

[0065] It should be noted that the method of one or more embodiments of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of one or more embodiments of the present application, and the multiple devices will interact with each other to complete the described method.

[0066] It should be noted that the above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0067] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present application also provides a data verification device based on workflow technology. Figure 2 As shown, the device comprises:

[0068] The verification template determination module 11 is configured to determine the verification template according to the user instruction, wherein the verification template includes the verification link configuration and the data standard configuration;

[0069] A data acquisition module 12 is configured to acquire data from a target source end;

[0070] The verification rule generation module 13 is configured to generate verification rules according to the verification link configuration, the data standard configuration and the data of the target source end, and each verification rule uniquely corresponds to the target source end.

[0071] Alternatively, if Figure 3 As shown, in an embodiment of the present application, the verification template determination module 11 may include a process link formulation submodule 111 and a data standard formulation subtemplate 112. The process link formulation submodule 111 is configured to determine the process link according to the user instruction, and the data standard formulation subtemplate 112 is configured to determine the data standard according to the user instruction.

[0072] The data acquisition module 12 may include a data acquisition submodule 121, a database configuration management submodule 122, and a database interface management submodule 123. The data acquisition submodule 121 is configured to acquire data from a database, the database configuration management submodule 122 is configured to perform configuration management on the acquired database, and the database interface management submodule 123 is configured to establish a database interface with the source end according to the database configuration. The above-mentioned data acquisition module 12 may acquire source end data from the source end database 17.

[0073] The verification rule generation module 13 may include a business scenario definition submodule 131, a data quality definition submodule 132, a basic verification rule generation submodule 133 and a parameter adjustment submodule 134. Among them, the business scenario definition submodule 131 is configured to define the business scenario of data verification according to the verification link configuration to obtain a business scenario definition, the data quality definition submodule 132 is configured to define the data quality of data verification according to the data standard configuration to obtain a data quality definition, the basic verification rule generation submodule 133 is configured to generate basic verification rules according to the business scenario definition and the data quality definition, and the parameter adjustment submodule 134 is configured to adjust the parameters of the basic verification rules according to the data of the target source end to obtain the verification rules.

[0074] In an embodiment of the present application, a task assignment module 14 may also be included, which is configured to allocate permissions of the operator according to the verification rules and the operator of the target source end, and assign corresponding tasks to the operator.

[0075] Specifically, the task assignment module 14 may include a process forwarding control submodule 141, a permission allocation submodule 142, and a task assignment submodule 143. The process forwarding control submodule 141 is configured to determine the forwarding process according to the verification rule, the permission allocation submodule 142 is configured to allocate permissions to users according to the forwarding process, and the task assignment submodule 143 is configured to perform task assignment according to the permission allocation.

[0076] In the embodiment of the present application, a data verification module 15 may also be included. The data verification module 15 may include a data verification engine 151, a statistical result query submodule 152, and a rule result feedback submodule 153. The data verification engine 151 is configured to perform verification according to the result data fed back by the source end, the statistical result query submodule 152 is configured to query the statistical result data of the source end, and the rule result feedback submodule 153 is configured to query the rule result feedback of the source end.

[0077] In the embodiment of the present application, a monitoring module 16 may be further included. The monitoring module 16 may include a log information recording submodule 161 and a monitoring management submodule 162. The log information recording submodule 161 is configured to record data management information, and the monitoring management submodule 162 is configured to monitor and manage the data verification process.

[0078] It should be noted that the above modules of the present application can be deployed on the source end or the server. When deployed on the server, only the data transmission interface needs to be deployed on the source end, which can improve the flexibility of the system.

[0079] In the embodiments of the present application, a new type of fast dynamic web page JavaEE platform architecture technology can be used, integrating the MVC design pattern ideas of Struts Spring and HibernateiBatis, building a unified software module platform, unifying the technical route, ensuring a high degree of adaptation between modules, using microservices to publish services, building upper-level micro-applications, using Nacos as a service governance tool, and using B / S architecture to provide users with convenient workflow modeling and management interfaces, thereby achieving efficient system development, easy maintenance and good user experience.

[0080] The data verification device based on workflow technology of the present application has the characteristics of high cohesion and loose coupling. Through the design pattern of high cohesion and loose coupling, the processing capabilities of various modules are improved and external interactions are reduced. In the embodiment of the present application, considering that the interface module is an external commitment, the fewer commitments, the more beneficial it is to the development of the system. The public methods can be published as little as possible in the interface module, which reduces the risk of change and is also conducive to reducing costs. In addition, on the basis of ensuring that the business module and the workflow engine are appropriately separated, the operation of the business process is not overly restricted by the state of the workflow engine, so that the business system can still maintain basic operational capabilities and a certain degree of autonomy when facing changes or failures in the workflow engine.

[0081] For the convenience of description, the above devices are described in terms of functions and modules. Of course, when implementing one or more embodiments of the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0082] The apparatus of the above-mentioned embodiment is used to implement the corresponding method in the above-mentioned embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0083] Figure 4A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0084] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0085] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solution provided in the embodiment of the present application is implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0086] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0087] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0088] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0089] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiment of the present application, and does not necessarily include all the components shown in the figure.

[0090] The electronic device of the above embodiment is used to implement the corresponding method in the above embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0091] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0092] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0093] In addition, to simplify the description and discussion, and in order not to make one or more embodiments of the present application difficult to understand, the known power / ground connections to the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making one or more embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of the present application will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present disclosure, it is obvious to those skilled in the art that one or more embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0094] Although the present disclosure has been described in conjunction with specific embodiments of the present disclosure, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0095] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the scope of protection of this disclosure.

Claims

1. A data verification method based on workflow technology, characterized in that: include: Determine a verification template according to a user instruction, wherein the verification template includes a verification link configuration and a data standard configuration; Get the data from the target source; Verification rules are generated according to the verification link configuration, data standard configuration and data of the target source end, and each verification rule uniquely corresponds to the target source end.

2. The method according to claim 1, characterized in that Generate verification rules based on the verification link configuration, data standard configuration and the data of the target source end, including: Defining a business scenario for data verification according to the verification link configuration to obtain a business scenario definition; Defining the data quality of data verification according to the data standard configuration to obtain a data quality definition; Generate basic verification rules according to the business scenario definition and the data quality definition; According to the data of the target source end, the parameters of the basic verification rule are adjusted to obtain the verification rule.

3. The method according to claim 1, characterized in that Also includes: According to the verification rules and the operator of the target source end, the authority of the operator is allocated, and the corresponding task is assigned to the operator.

4. The method according to claim 1, characterized in that: Also includes: Obtain result feedback of the target source end on the verification rule; Based on the result feedback, the verification rules are optimized.

5. The method according to claim 1, characterized in that Also includes: Performing real-time monitoring on the data involved in the verification rule generation process and the data involved in the adjustment process to obtain monitoring information; The monitoring information is stored as log information.

6. The method according to claim 1, characterized in that The data is obtained from a database at the target source end.

7. A data verification device based on workflow technology, characterized in that: include: A verification template determination module is configured to determine a verification template according to a user instruction, wherein the verification template includes a verification link configuration and a data standard configuration; A data acquisition module, configured to acquire data from a target source end; The verification rule generation module is configured to generate verification rules according to the verification link configuration, the data standard configuration and the data of the target source end, and each verification rule uniquely corresponds to the target source end.

8. The device according to claim 7, characterized in that It also includes a verification rule feedback module. The method is configured to obtain result feedback of the target source end on the verification rule; and optimize the verification rule based on the result feedback.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute any one of claims 1 to 6.

Images