Data processing method and device, equipment and storage medium
By introducing an expert system into the fund supervision system, the error data reported by the fund supervision system is automatically analyzed and processed, and the problem of low manual investigation and processing efficiency in fund supervision is solved, and more efficient and accurate fund supervision is achieved.
Patent Information
- Application Number
- CN202411716952.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-03-18
AI Technical Summary
In the fund supervision scenario, problems that arise in the regulatory process, such as abnormal regulatory account or information errors, need to be manually investigated and dealt with, resulting in low efficiency in fund supervision and high labor costs.
By obtaining the error report data of the fund supervision system, using the expert system to analyze the error report data, determine the reason for the error report, and verify it in the fund supervision system, obtain the error report source and corresponding error report processing plan, and output the processing plan and verification results.
Introduce expert systems into the fund supervision system to automatically analyze and process error-reported data, reduce manual intervention, improve supervision efficiency, reduce costs, and improve the accuracy of fund supervision.
Smart Images
Figure CN119648414A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a data processing method, apparatus, device and storage medium. Background Art
[0002] In the fund supervision scenario, banking institutions can provide fund supervision and other services between the regulatory entity and the regulated entity.
[0003] In this case, if problems arise in the supervision process, such as abnormalities in the supervision account or incorrect supervision account information, banking staff will be required to investigate and handle them. Therefore, the efficiency of fund supervision is low and the labor cost is high. Summary of the invention
[0004] The embodiments of the present application provide a data processing method, apparatus, device and storage medium to improve fund supervision efficiency and reduce costs.
[0005] In a first aspect, an embodiment of the present application provides a data processing method, including:
[0006] Obtain error data from the fund supervision system;
[0007] Analyzing the error data using an expert system to determine the error cause corresponding to the error data;
[0008] Verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result, wherein the first verification result is used to indicate an error source of the error cause;
[0009] Analyzing the first verification result by using the expert system to determine an error handling plan corresponding to the error source of the error cause;
[0010] Output the error handling plan and / or the first verification result.
[0011] Optionally, the expert system includes a knowledge base, the knowledge base including multiple error categories and error causes corresponding to each of the multiple error categories;
[0012] The using of the expert system to analyze the error data to determine the error cause corresponding to the error data includes:
[0013] Classifying the error data based on the multiple error categories in the knowledge base to obtain the error category corresponding to the error data;
[0014] The error cause corresponding to the error data is determined based on the error category corresponding to the error data.
[0015] Optionally, the knowledge base further includes error checking plans corresponding to the multiple error categories and error handling plans corresponding to the multiple error sources;
[0016] The verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result includes:
[0017] Using the error checking plan in the fund supervision system to verify the error cause corresponding to the error data, to obtain the first verification result;
[0018] The using the expert system to analyze the first verification result to determine the error handling plan corresponding to the error source of the error cause includes:
[0019] Based on the knowledge base, the error handling plan corresponding to the error source of the error cause is determined from the error handling plans respectively corresponding to the multiple error sources.
[0020] Optionally, before outputting the error handling plan, the method further includes:
[0021] Using the expert system to verify the error handling plan to obtain a second verification result, wherein the second verification result is used to indicate whether the fund supervision system reports an error after simulating the execution of the error handling plan;
[0022] In the case where the second verification result indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, outputting an error result corresponding to the error handling plan, wherein the error result is used to instruct to modify the error handling plan;
[0023] When the second verification result indicates that the fund supervision system does not report an error after simulating the execution of the error handling plan, the error handling plan is executed in the fund supervision system.
[0024] Optionally, the using the expert system to verify the error handling plan to obtain a second verification result includes:
[0025] Simulating the execution process of the error handling plan in the fund supervision system to obtain a simulated state of the fund supervision system after executing the error handling plan;
[0026] Based on the error classification knowledge base in the expert system, it is determined whether the simulation status indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, and the second verification result is obtained.
[0027] Optionally, after executing the error handling plan in the fund supervision system, the method further includes:
[0028] Re-execute the operation used to trigger the error data and obtain the operation result;
[0029] In the case where the operation result includes the error data, the state of the fund supervision system is restored to the state before the error handling plan is executed.
[0030] Optionally, the obtaining of error data of the fund supervision system includes:
[0031] Collecting operation logs and / or alarm information of the fund supervision system;
[0032] The operation log and / or the alarm information are filtered to obtain the error data.
[0033] In a second aspect, an embodiment of the present application provides a data processing device, including:
[0034] Data acquisition module, used to obtain error data from the fund supervision system;
[0035] A cause determination module, used to analyze the error data using an expert system to determine the error cause corresponding to the error data;
[0036] A first verification module, used for verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result, wherein the first verification result is used to indicate the error source of the error cause;
[0037] A plan determination module, used to analyze the first verification result by using the expert system to determine the error handling plan corresponding to the error source of the error cause;
[0038] The first output module is used to output the error handling plan and / or the first verification result.
[0039] In a third aspect, an embodiment of the present application provides an electronic device, the device comprising: a processor, a memory, and a system bus;
[0040] The processor and the memory are connected via the system bus;
[0041] The memory is used to store a program, wherein the program includes instructions, and when the instructions are executed by the processor, the processor executes any implementation step of the above-mentioned data processing method based on weak measurement technology.
[0042] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on an electronic device, the electronic device executes any implementation step of the above-mentioned data processing method based on weak measurement technology.
[0043] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:
[0044] In an embodiment of the present application, after obtaining the error data of the fund supervision system, the expert system can be used to analyze the error data to determine the error cause corresponding to the error data, and then the error cause corresponding to the error data can be verified in the fund supervision system to obtain a first verification result, which can be used to indicate the error source of the error cause, and then the above-mentioned expert system can be used to analyze the first verification result to determine the error handling plan corresponding to the error source of the error cause, and output the above-mentioned error handling plan and / or the first verification result. In this way, the expert system is introduced into the fund supervision system for error analysis and decision-making, and no longer relies on manual investigation and processing, which helps to improve supervision efficiency and reduce costs. In addition, by verifying the error cause and determining the error source of the error cause, the corresponding error handling plan can be accurately obtained in combination with the error source, which helps to further improve the accuracy of fund supervision. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] Figure 1 A flowchart of a data processing method provided in an embodiment of the present application;
[0046] Figure 2 A schematic diagram of the structure of a data processing device provided in an embodiment of the present application;
[0047] Figure 3 A schematic diagram of the structure of an expert system provided in an embodiment of the present application;
[0048] Figure 4 A schematic diagram of the structure of another data processing device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0049] As mentioned above, in actual applications, if there are problems in the fund supervision process, such as abnormal supervision accounts or incorrect supervision account information, the staff of the bank institution needs to investigate and handle them. Therefore, the efficiency of fund supervision is low and the labor cost is high. In addition, the supervised and managed subject is still an off-campus education institution. For the fund supervision process of different off-campus education institutions, the corresponding supervision accounts may have basically the same problems, but due to various reasons, they appear repeatedly in the corresponding supervision accounts of different off-campus education institutions. If the staff handles these problems manually, it will cause a lot of repetitive manual labor.
[0050] Based on this, in order to solve the above problems, an embodiment of the present application provides a data processing method, which may include: after obtaining the error data of the funds supervision system, the error data can be analyzed by an expert system to determine the error cause corresponding to the error data, and then the error cause corresponding to the error data can be verified in the funds supervision system to obtain a first verification result, which can be used to indicate the error source of the error cause, and then the above-mentioned expert system can be used to analyze the first verification result to determine the error handling plan corresponding to the error source of the error cause, and output the above-mentioned error handling plan and / or the first verification result.
[0051] In this way, the expert system is introduced into the fund supervision system for error analysis and decision-making, and no longer relies on manual investigation and processing, which helps to improve supervision efficiency and reduce costs. In addition, by verifying the cause of the error and determining the source of the error, the corresponding error processing plan can be accurately obtained in combination with the error source, which helps to further improve the accuracy of fund supervision.
[0052] It should be noted that the embodiments of the present application may not limit the execution subject of the data processing method. For example, the data processing method of the embodiments of the present application may be applied to data processing devices such as terminal devices or servers. Among them, the terminal device may be an electronic device such as a smart phone, a computer, a personal digital assistant (PDA), a tablet computer, etc. The server may be an independent server, a cluster server, or a cloud server.
[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution 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, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0054] Figure 1 A flowchart of a data processing method provided in an embodiment of the present application. Figure 1 As shown, the data processing method provided in the embodiment of the present application uses the corresponding data processing device as the execution subject to describe the specific implementation of the scheme. The data processing method may include the following steps S101-S105.
[0055] S101: Obtain error data from the fund supervision system.
[0056] Error reporting data refers to data used to report errors in the fund supervision system. In the embodiment of the present application, the process of obtaining error reporting data may include first collecting operation logs and / or alarm information of the fund supervision system. Figure 2 As shown, the data processing device may include a data acquisition module, which may be connected to the fund supervision system and receive the operation log and / or alarm information of the fund supervision system. Here, the operation log refers to the log when the fund supervision system runs to an error, and the alarm information refers to the prompt information issued by the fund supervision system when an error is reported. Then, the operation log and / or alarm information may be filtered to obtain error data. In specific implementation, the data acquisition module may be used to filter the above operation log and / or alarm information according to a pre-set filtering rule, so as to eliminate invalid information and extract key information, thereby obtaining error data.
[0057] S102: Analyze the error data using an expert system to determine the error cause corresponding to the error data.
[0058] An expert system is a system based on computer technology and artificial intelligence that simulates the knowledge and reasoning ability of human experts in a specific field. It stores the expert's knowledge and experience in a computer and uses a reasoning engine to solve problems and provide decision support. For ease of understanding, the following is an exemplary description of the structure of an expert system and its construction process in conjunction with the accompanying drawings.
[0059] As an example, combining Figure 3 As shown, an expert system may include a knowledge base, an inference engine, and an interpreter. The knowledge base is the part that stores and organizes expert knowledge, including the experience, rules, relationships, and reasoning abilities of domain experts. The knowledge base can be represented in different forms, such as a rule base that includes a series of conditions and conclusions. These conditions and conclusions can be used to collect the correspondence between problems and solutions. The inference engine is the core component used for reasoning and problem solving in an expert system. It produces solutions by matching and reasoning problems with the rules and relationships in the knowledge base. The interpreter is a component that explains, displays, and records relevant information about the reasoning process of the expert system.
[0060] Accordingly, in the expert system, a knowledge base and an error analysis model can be constructed based on expert knowledge and historical cases. The knowledge base can include an error classification knowledge base and a disposal plan knowledge base, which is the above-mentioned inference engine and interpreter.
[0061] Specifically, for the construction of the error classification indication library, the error data is deeply mined, and after the error category knowledge corresponding to the error data is generated, the error category knowledge can be filled into the error classification knowledge base, that is, the error classification knowledge base can include multiple error categories and the error causes corresponding to each error category in the multiple error categories. Then, the inference engine can be used to simulate the processing logic of the expert, that is, when an error occurs, the inference engine further combines the various error category knowledge in the error classification knowledge base for reasoning, so that the error data of the fund supervision system can be classified to obtain the error category of the error data, and further locate the cause of the error.
[0062] Based on this, in an embodiment of the present application, with respect to the process of determining the error cause corresponding to the error data, first, the error data can be classified based on the multiple error categories in the above-mentioned knowledge base to obtain the error category corresponding to the error data, and then the error cause corresponding to the error data can be determined based on the error category corresponding to the error data.
[0063] For ease of understanding, combined with the above Figure 2 As shown, the data processing device may also include an error classification tracing module, which is connected to the data acquisition module and the expert system respectively, so that the error classification tracing module can classify the error data with the help of the inference engine and the error classification knowledge base in the expert system to obtain the corresponding error cause. In addition, if the classification result of the error data does not belong to the multiple error categories stored in the error classification knowledge base, that is, when new error data appears, the classification result of the error data can be added to the error classification knowledge base as a new error category.
[0064] S103: In the fund supervision system, the error cause corresponding to the error data is verified to obtain a first verification result, where the first verification result is used to indicate the error source of the error cause.
[0065] Furthermore, the above-mentioned disposal plan knowledge base can include error checking plans corresponding to multiple error categories and error handling plans corresponding to multiple error sources, wherein the error checking plan refers to a general checking plan that can be used for multiple error categories. The error checking plan can check all places that may cause known errors in the fund supervision system based on expert experience and historical cases. Therefore, the error checking plan can locate the error source corresponding to the error data, and the error source is the specific location of the fund supervision system that causes the error. The error handling plan is the error response method for the current error source when an error occurs.
[0066] Based on this, in the embodiment of the present application, for the process of verifying the error cause corresponding to the error data, the error cause corresponding to the error data can be verified using the error check plan in the fund supervision system to obtain a first verification result. Since the error check plan is a general plan corresponding to multiple error categories, it can effectively reduce the risk of generating an erroneous check plan due to the insufficiency of the expert system, thereby helping to improve the accuracy of the check of multiple error data.
[0067] For ease of understanding, combined with the above Figure 2 As shown, the data processing device may also include an error source verification module, which is connected to the error classification tracing module and the expert system respectively, so that the error source verification module can use the inference engine in the expert system to use the error inspection plan to check the possible error locations one by one in the fund supervision system, so as to determine the error source of the error cause. In addition, if all possible error locations are checked and no error source is found, a corresponding third verification result can be generated to indicate that no error source is found, and the classification result of the error data is added to the error classification knowledge base as a new error category.
[0068] S104: Analyze the first verification result using the expert system to determine the error handling plan corresponding to the error source of the error cause.
[0069] In an embodiment of the present application, the process of determining the error handling plan corresponding to the error source of the error cause can be specifically based on a knowledge base, and the error handling plan corresponding to the error source of the error cause can be determined from the error handling plans corresponding to multiple error sources.
[0070] For ease of understanding, combined with the above Figure 2 As shown, the data processing device may also include an emergency plan decision module, which is connected to the error source verification module and the expert system respectively, so that the emergency plan decision module can generate an error handling plan corresponding to the error source of the error cause with the help of the inference engine and the disposal plan knowledge base in the expert system.
[0071] Furthermore, after the error handling plan is generated, the error handling plan can be further verified, and then displayed or notified after the verification meets the expected results, thereby helping to improve the accuracy of error handling. For ease of understanding, the process of verifying the error handling plan is introduced below in conjunction with a possible implementation method.
[0072] As an implementation method, after determining the error handling plan, first, the expert system can be used to verify the error handling plan to obtain a second verification result. Here, the second verification result can be used to indicate whether the fund supervision system reports an error after simulating the execution of the error handling plan.
[0073] When implementing it specifically, Figure 2 As shown, the data processing device may also include a plan verification module, which is connected to the plan decision module and the expert system respectively, so that the plan verification module can simulate the execution process of the error handling plan in the fund supervision system with the help of the inference engine in the expert system, and obtain the simulation state of the fund supervision system after executing the error handling plan. Then, the plan verification module can determine whether the simulation state indicates that the fund supervision system reports an error after simulating the execution of the error handling plan based on the error classification knowledge base in the expert system, thereby obtaining a second verification result.
[0074] Furthermore, if Figure 2 As shown, the data processing device may also include a plan implementation verification module and a result analysis notification module, and the plan verification module, the plan implementation verification module and the result analysis notification module may be connected in sequence.
[0075] Accordingly, when the second verification result indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, the plan implementation verification module can be skipped, and the result analysis notification module can be directly used to output the error result corresponding to the error handling plan. In this way, the error result can be used to instruct the modification of the error handling plan, that is, to instruct manual inspection and modification of the error handling plan.
[0076] If the second verification result indicates that the funds supervision system does not report an error after simulating the execution of the error handling plan, the plan implementation verification module can execute the error handling plan in the funds supervision system.
[0077] In addition, after executing the error handling plan in the fund supervision system, the plan implementation verification module can further re-execute the operation for triggering the error data, obtain the operation result, and restore the state of the fund supervision system to the state before executing the error handling plan when the operation result includes the error data. In this way, if the operation result includes the error data, it can be shown that the error handling plan still cannot solve the previous error. Therefore, restoring the previous state through the rollback operation helps to avoid more serious errors in the future and improve the efficiency of error handling.
[0078] S105: Output an error handling plan and / or a first verification result.
[0079] As mentioned earlier, in Figure 2In the data processing device, a result analysis notification module is included. Accordingly, the result analysis notification module can output at least one of the reasoning process information and execution results of the whole process of error processing such as the above-mentioned error processing plan, the first verification result, the second verification result, and the third verification result. In addition, the output method of the result analysis notification module may include providing an information display page or notifying manual viewing through a voice message, etc., which is not specifically limited in the embodiment of the present application.
[0080] Based on the relevant contents of the above steps S101-S105, it can be known that in the embodiment of the present application, after obtaining the error data of the fund supervision system, the expert system can be used to analyze the error data to determine the error cause corresponding to the error data, and then the error cause corresponding to the error data can be verified in the fund supervision system to obtain a first verification result, which can be used to indicate the error source of the error cause, and then the above expert system can be used to analyze the first verification result to determine the error handling plan corresponding to the error source of the error cause, and output the above error handling plan and / or the first verification result. In this way, the expert system is introduced into the fund supervision system for error analysis and decision-making, and no longer relies on manual investigation and processing, which helps to improve supervision efficiency and reduce costs. In addition, by verifying the error cause to determine the error source of the error cause, the corresponding error handling plan can be accurately obtained in combination with the error source, which helps to further improve the accuracy of fund supervision.
[0081] Furthermore, based on the data processing method provided in the above embodiment, the embodiment of the present application can also provide a data processing device. The data processing device is described below in conjunction with the embodiments and drawings.
[0082] Figure 4 A schematic diagram of the structure of a data processing device provided in an embodiment of the present application. Figure 4 As shown, the data processing device 400 provided in the embodiment of the present application may include:
[0083] Data acquisition module 401, used to obtain error data of the fund supervision system;
[0084] Cause determination module 402, used to analyze the error data using an expert system to determine the error cause corresponding to the error data;
[0085] A first verification module 403, used to verify the error cause corresponding to the error data in the fund supervision system to obtain a first verification result, wherein the first verification result is used to indicate the error source of the error cause;
[0086] The plan determination module 404 is used to analyze the first verification result by using the expert system to determine the error handling plan corresponding to the error source of the error cause;
[0087] The first output module 405 is used to output the error handling plan and / or the first verification result.
[0088] Optionally, the expert system includes a knowledge base, the knowledge base including multiple error categories and error causes corresponding to each of the multiple error categories;
[0089] The cause determination module 402 is specifically used for:
[0090] Classifying the error data based on the multiple error categories in the knowledge base to obtain the error category corresponding to the error data;
[0091] The error cause corresponding to the error data is determined based on the error category corresponding to the error data.
[0092] Optionally, the knowledge base further includes error checking plans corresponding to the multiple error categories and error handling plans corresponding to the multiple error sources;
[0093] The first verification module 403 is specifically used for:
[0094] Using the error checking plan in the fund supervision system to verify the error cause corresponding to the error data, to obtain the first verification result;
[0095] The plan determination module 404 is specifically used for:
[0096] Based on the knowledge base, the error handling plan corresponding to the error source of the error cause is determined from the error handling plans respectively corresponding to the multiple error sources.
[0097] Optionally, the data processing device 400 further includes:
[0098] A second verification module, used to verify the error handling plan using the expert system to obtain a second verification result, wherein the second verification result is used to indicate whether the fund supervision system reports an error after simulating the execution of the error handling plan;
[0099] A second output module is used to output an error result corresponding to the error handling plan when the second verification result indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, and the error result is used to instruct to modify the error handling plan;
[0100] The plan execution module is used to execute the error handling plan in the fund supervision system when the second verification result indicates that the fund supervision system does not report an error after simulating the execution of the error handling plan.
[0101] Optionally, the second verification module is specifically configured to:
[0102] Simulating the execution process of the error handling plan in the fund supervision system to obtain a simulated state of the fund supervision system after executing the error handling plan;
[0103] Based on the error classification knowledge base in the expert system, it is determined whether the simulation status indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, and the second verification result is obtained.
[0104] Optionally, the data processing device 400 further includes:
[0105] An operation execution module, used to re-execute the operation used to trigger the error reporting data and obtain the operation result;
[0106] A state recovery module is used to restore the state of the fund supervision system to the state before executing the error processing plan when the operation result includes the error data.
[0107] Optionally, the data acquisition module 401 is specifically used to:
[0108] Collecting operation logs and / or alarm information of the fund supervision system;
[0109] The operation log and / or the alarm information are filtered to obtain the error data.
[0110] Furthermore, an embodiment of the present application also provides an electronic device, comprising: a processor, a memory, and a system bus;
[0111] The processor and the memory are connected via the system bus;
[0112] The memory is used to store one or more programs, and the one or more programs include instructions. When the instructions are executed by the processor, the processor executes any implementation step of the above-mentioned data processing method.
[0113] Furthermore, an embodiment of the present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on an electronic device, any step of the above-mentioned data processing method is implemented.
[0114] It can be known from the description of the above implementation mode that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment method can be implemented by means of software plus the necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a storage medium, such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the methods described in each embodiment of the present application or certain parts of the embodiments. It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other.
[0115] As for the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.
[0116] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants 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 process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.
[0117] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A data processing method, characterized in that: include: Obtain error data from the fund supervision system; Analyzing the error data using an expert system to determine the error cause corresponding to the error data; Verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result, wherein the first verification result is used to indicate an error source of the error cause; Analyzing the first verification result by using the expert system to determine an error handling plan corresponding to the error source of the error cause; Output the error handling plan and / or the first verification result.
2. The data processing method according to claim 1, characterized in that: The expert system includes a knowledge base, which includes multiple error categories and error causes corresponding to each of the multiple error categories; The using of the expert system to analyze the error data to determine the error cause corresponding to the error data includes: Classifying the error data based on the multiple error categories in the knowledge base to obtain the error category corresponding to the error data; The error cause corresponding to the error data is determined based on the error category corresponding to the error data.
3. The data processing method according to claim 2, characterized in that: The knowledge base also includes error checking plans corresponding to the multiple error categories and error handling plans corresponding to the multiple error sources; The verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result includes: Using the error checking plan in the fund supervision system to verify the error cause corresponding to the error data, to obtain the first verification result; The using the expert system to analyze the first verification result to determine the error handling plan corresponding to the error source of the error cause includes: Based on the knowledge base, the error handling plan corresponding to the error source of the error cause is determined from the error handling plans respectively corresponding to the multiple error sources.
4. The data processing method according to claim 1, characterized in that: Before outputting the error handling plan, the method further includes: Using the expert system to verify the error handling plan to obtain a second verification result, wherein the second verification result is used to indicate whether the fund supervision system reports an error after simulating the execution of the error handling plan; In the case where the second verification result indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, outputting an error result corresponding to the error handling plan, wherein the error result is used to instruct to modify the error handling plan; When the second verification result indicates that the fund supervision system does not report an error after simulating the execution of the error handling plan, the error handling plan is executed in the fund supervision system.
5. The data processing method according to claim 4, characterized in that: The using the expert system to verify the error handling plan to obtain a second verification result includes: Simulating the execution process of the error handling plan in the fund supervision system to obtain a simulated state of the fund supervision system after executing the error handling plan; Based on the error classification knowledge base in the expert system, it is determined whether the simulation status indicates that the fund supervision system reports an error after simulating the execution of the error handling plan, and the second verification result is obtained.
6. The data processing method according to claim 4, characterized in that: After executing the error handling plan in the fund supervision system, the method further includes: Re-execute the operation used to trigger the error data and obtain the operation result; In the case where the operation result includes the error data, the state of the fund supervision system is restored to the state before the error handling plan is executed.
7. The data processing method according to any one of claims 1 to 6, characterized in that: The obtaining of error data of the fund supervision system includes: Collecting operation logs and / or alarm information of the fund supervision system; The operation log and / or the alarm information are filtered to obtain the error data.
8. A data processing device, characterized in that: include: Data acquisition module, used to obtain error data from the fund supervision system; A cause determination module, used to analyze the error data using an expert system to determine the error cause corresponding to the error data; A first verification module, used for verifying the error cause corresponding to the error data in the fund supervision system to obtain a first verification result, wherein the first verification result is used to indicate the error source of the error cause; A plan determination module, used to analyze the first verification result by using the expert system to determine the error handling plan corresponding to the error source of the error cause; The first output module is used to output the error handling plan and / or the first verification result.
9. An electronic device, characterized in that: The device includes: a processor, a memory, and a system bus; The processor and the memory are connected via the system bus; The memory is used to store a program, wherein the program includes instructions, and when the instructions are executed by the processor, the processor executes the steps of the data processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and when the computer program is executed by a terminal device, the steps of the data processing method according to any one of claims 1 to 7 are implemented.