CN117076174A - Error problem processing method and device for financial system and electronic equipment - Google Patents

Error problem processing method and device for financial system and electronic equipment Download PDF

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CN117076174A
CN117076174A CN202311077424.3A CN202311077424A CN117076174A CN 117076174 A CN117076174 A CN 117076174A CN 202311077424 A CN202311077424 A CN 202311077424A CN 117076174 A CN117076174 A CN 117076174A
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error
scheme
sets
error problem
schemes
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奚家字
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Industrial and Commercial Bank of China Ltd ICBC
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Industrial and Commercial Bank of China Ltd ICBC
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0766Error or fault reporting or storing
    • G06F11/0775Content or structure details of the error report, e.g. specific table structure, specific error fields
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0766Error or fault reporting or storing
    • G06F11/0787Storage of error reports, e.g. persistent data storage, storage using memory protection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3065Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Theoretical Computer Science (AREA)
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Abstract

The invention discloses a method and a device for processing error problems of a financial system and electronic equipment, and relates to the technical field of big data or other related fields, wherein the method comprises the following steps: receiving an error problem document, comprising: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors; based on the error problem document, matching M sets of reference schemes in a system problem database, and forming a reference scheme data set by the M sets of reference schemes; executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference grade of each set of solution, and monitoring the execution process of the reference scheme to obtain a monitoring file; and generating a processing result of the current error problem based on the monitoring file. The invention solves the technical problems of lower processing efficiency caused by error finding, solving and monitoring the operation errors of the financial system in the related technology.

Description

Error problem processing method and device for financial system and electronic equipment
Technical Field
The invention relates to the technical field of big data, in particular to a method and a device for processing error problems of a financial system and electronic equipment.
Background
When the financial system has an operation error, the system can actively report the error but does not provide a solution, and often needs to ask related operation and maintenance personnel how to solve the current error problem, or the staff can manually inquire the solution according to the system error report information and then implement related measures, so that even if some conventional operation errors or test problems frequently occur, the system still cannot autonomously solve the error problem.
In the related art, when an operation error occurs in a financial system, faults exist among discovery, solution and monitoring, each link highly depends on manual operation, so that personnel cannot multiplex, and the operation error of the system cannot be processed timely and efficiently.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for processing error problems of a financial system and electronic equipment, which are used for at least solving the technical problem of lower efficiency of processing error problems caused by non-linkage of discovery, solution and monitoring of operation errors of the financial system in the related technology.
According to an aspect of the embodiment of the present invention, there is provided an error problem processing method for a financial system, including: receiving an error problem document, wherein the error problem document comprises: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors; matching M sets of reference schemes in a system problem database based on the error problem document, and forming a reference scheme data set by the M sets of reference schemes, wherein the system problem database at least comprises: n classes of system error problems, R sets of solutions for each class of system error problem and a solution reference level for each set of solutions, wherein the reference solution comprises the solutions of the system error problems with the relevance to the current error problem being greater than a preset relevance threshold, and M, N, R is a positive integer; executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file; and generating a processing result of the current error problem based on the monitoring file.
Optionally, the system problem database is established by the following method: obtaining T historical operation logs of a target financial system, wherein each historical operation log comprises: word description of history error problems and/or history error codes and history solutions, wherein T is a positive integer; and carrying out data preprocessing on all the historical operation logs based on a preset data format to obtain N classes of system error problems and N sets of solutions, wherein each class of system error problems comprises: literal description of system error problem, system error code; setting the scheme reference level for each set of the solutions based on a preset level rule; and integrating all the system error problems, the solutions and the solution reference levels of each set of solutions to obtain the system problem database.
Optionally, before setting the solution reference level for each set of the solutions based on a preset level rule, the method further comprises: extracting error keywords in text descriptions contained in the system error problems for each type of the system error problems; acquiring a network reference scheme of the system error problem from a designated website based on the error keyword; and integrating the solution of each type of system error problem and the network reference solution to obtain an R set of solution of each type of system error problem.
Optionally, the step of matching M sets of reference schemes in the system problem database based on the error problem document includes: extracting the text description of the current error problem, and extracting characteristic keywords in the text description; calculating the association degree between the current error problem and the N types of system error problems based on the characteristic keywords to obtain N problem association degrees; inquiring P system error problems with the relevance degree larger than a preset relevance degree threshold value to obtain an inquiring result, wherein P is a positive integer and is smaller than or equal to N; and extracting M sets of reference schemes from the system problem database based on the query result.
Optionally, the step of matching M sets of reference schemes in the system problem database based on the error problem document further comprises: extracting the error question code of the current error question; inquiring in the system problem database based on the error problem code to determine Q system error problems, wherein Q is a positive integer and is less than or equal to N; and extracting M sets of reference schemes in the system problem database based on the system error problem.
Optionally, after extracting the M sets of the reference schemes, further comprising: extracting, for each set of the reference plans, the plan reference level of the reference plan in the system problem database; and integrating M sets of the reference schemes and scheme reference levels of each set of the reference schemes to obtain the reference scheme data set.
Optionally, based on the scheme reference level, executing the reference scheme in the reference scheme data set at the error occurrence position, and monitoring the execution process of the reference scheme to obtain a monitored file, including: sorting M sets of reference schemes in the reference scheme data set based on the scheme reference level to obtain a scheme execution sequence; sequentially executing the reference schemes in the reference scheme data set according to the scheme execution sequence, and monitoring the execution process of each set of the reference schemes one by one to obtain a monitoring result; and integrating all the monitoring results to obtain the monitoring file.
Optionally, the step of sequentially executing the reference schemes in the reference scheme dataset according to the scheme execution sequence includes: executing a next reference scheme according to the scheme execution sequence in the case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; or, ending the sequential execution if the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem; alternatively, in the case where the monitoring results of all the reference schemes in the M sets of reference schemes indicate that the current error problem is not solved, the sequential execution is ended.
Optionally, after executing the sequence according to the scheme, the reference scheme in the reference scheme data set is sequentially executed, further comprising: in case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem, reducing the scheme reference level of the reference scheme by one step based on a preset level rule; or, in case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem, raising the scheme reference level of the reference scheme by one step based on a preset level rule.
According to another aspect of the embodiment of the present invention, there is also provided an error problem processing apparatus for a financial system, including: a receiving unit, configured to receive an error problem document, where the error problem document includes: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors; the matching unit is used for matching M sets of reference schemes in a system problem database based on the error problem document, and a reference scheme data set is formed by the M sets of reference schemes, wherein the system problem database at least comprises: n classes of system error problems, R sets of solutions for each class of system error problem and a solution reference level for each set of solutions, wherein the reference solution comprises the solutions of the system error problems with the relevance to the current error problem being greater than a preset relevance threshold, and M, N, R is a positive integer; the execution unit is used for executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file; and the generating unit is used for generating a processing result of the current error problem based on the monitoring file.
Optionally, the error problem processing apparatus for a financial system further includes: the first acquisition module is used for acquiring T historical operation logs of the target financial system, wherein each historical operation log comprises: word description of history error problems and/or history error codes and history solutions, wherein T is a positive integer; the preprocessing module is used for preprocessing data of all the historical operation logs based on a preset data format to obtain N classes of system error problems and N sets of solutions, wherein each class of system error problems comprises: literal description of system error problem, system error code; the setting module is used for setting the scheme reference grade for each set of the solutions based on a preset grade rule; and the first integration module is used for integrating all the system error problems, the solutions and the solution reference levels of each set of solutions to obtain the system problem database.
Optionally, the error problem processing apparatus for a financial system further includes: the first extraction module is used for extracting error keywords in the text description contained in the system error problems for each type of the system error problems; the second acquisition module is used for acquiring a network reference scheme of the system error problem from a designated website based on the error keyword; and the second integration module is used for integrating the solution of each type of system error problem and the network reference solution to obtain R sets of solutions of each type of system error problem.
Optionally, the matching unit includes: the second extraction module is used for extracting the text description of the current error problem and extracting characteristic keywords in the text description; the computing module is used for computing the association degree between the current error problem and the N types of system error problems based on the characteristic keywords to obtain N problem association degrees; the first query module is used for querying P system error problems with the relevance degree larger than a preset relevance degree threshold value to obtain a query result, wherein P is a positive integer and is smaller than or equal to N; and the third extraction module is used for extracting M sets of reference schemes in the system problem database based on the query result.
Optionally, the matching unit further includes: a fourth extraction module, configured to extract the error problem code of the current error problem; the second query module is used for querying in the system problem database based on the error problem codes to determine Q system error problems, wherein Q is a positive integer and is less than or equal to N; and a fifth extraction module, configured to extract M sets of the reference schemes in the system problem database based on the system error problem.
Optionally, the matching unit further includes: a sixth extraction module for extracting, for each set of the reference plans, the plan reference level of the reference plan in the system problem database; and the third integration module is used for integrating M sets of the reference schemes and scheme reference levels of each set of the reference schemes to obtain the reference scheme data set.
Optionally, the execution unit includes: the ordering module is used for ordering the M sets of reference schemes in the reference scheme data set based on the scheme reference level to obtain a scheme execution sequence; the execution module is used for sequentially executing the reference schemes in the reference scheme data set according to the scheme execution sequence, and monitoring the execution process of each set of reference schemes one by one to obtain a monitoring result; and the fourth integration module is used for integrating all the monitoring results to obtain the monitoring file.
Optionally, the execution module includes: a first execution sub-module, configured to execute a next reference scheme according to the scheme execution sequence when the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; a second execution sub-module, configured to end sequential execution when the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem; and the third execution sub-module is used for ending the sequential execution under the condition that the monitoring results of all the reference schemes in the M sets of reference schemes indicate that the current error problem is not solved.
Optionally, the error problem processing apparatus for a financial system further includes: a downgrade module, configured to reduce, based on a preset level rule, the solution reference level of any one of the M sets of reference solutions by one level if the monitoring result of the reference solution indicates that the reference solution fails to solve the current error problem; and the upgrading module is used for raising the scheme reference level of the reference scheme by one step based on a preset level rule under the condition that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem.
According to another aspect of the embodiment of the present invention, there is further provided a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, the device where the computer readable storage medium is controlled to execute any one of the above error problem processing methods for a financial system.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any one of the above error problem handling methods for a financial system.
In the disclosure, an error problem processing method for a financial system is provided, where an error problem document is received first, and the error problem document includes: the method comprises the steps of matching M sets of reference schemes in a system problem database based on error problem documents, and forming a reference scheme data set by the M sets of reference schemes, wherein the M sets of reference schemes at least comprise the following steps of: n types of system error problems, R sets of solutions of each type of system error problems and solution reference levels of each set of solutions, then executing a reference solution at an error occurrence position based on the solution reference levels, monitoring an execution process to obtain a monitoring file, and finally generating a processing result of the current error problem based on the monitoring file.
In the method, a text description and/or an error problem code and an error occurrence position of a current error problem are obtained by utilizing an error problem document for reporting errors generated by a financial system, related system error problems of the current error problem are automatically searched in a pre-established system problem database based on the text description and/or the error problem code of the current error problem, a solution corresponding to the related system error problem is automatically extracted to serve as a reference solution for solving the current error problem, and then each set of reference solution is executed at the error occurrence position based on a solution reference grade of each set of reference solution pre-stored in the system problem database, so that an execution process of each set of reference solution is automatically monitored, and a processing result of the current error problem is generated. According to the technical scheme, the error reporting step, the reference scheme matching process, the problem solving process and the problem feedback step of the operation errors of the financial system are automatically linked, so that an integrated error problem processing method aiming at the financial system is obtained, each link does not depend on manual operation any more, the timely discovery of the system error problems and the efficient solution of the error problems are realized, and the technical problem that the processing efficiency of the error problems caused by the fact that the discovery, the solution and the monitoring of the operation errors of the financial system are not linked in the related art is lower is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of an alternative error problem handling method for a financial system in accordance with an embodiment of the present application;
FIG. 2 is a schematic diagram of an alternative real-time system for handling system error problems in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of an alternative system problem handling method based on a real-time processing system in accordance with an embodiment of the present application;
FIG. 4 is a schematic diagram of an alternative error problem handling apparatus for a financial system in accordance with an embodiment of the present application;
fig. 5 is a block diagram of a hardware configuration of an electronic device (or mobile device) for an error problem processing method for a financial system according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, the error problem processing method and device for a financial system in the present disclosure may be used in the big data field when the current error problem of the financial system is processed, and may also be used in any field other than the big data field when the current error problem of the financial system is processed, and the application field of the error problem processing method and device for a financial system in the present disclosure is not limited.
It should be noted that, related information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present disclosure are information and data authorized by a user or sufficiently authorized by each party, and the collection, use and processing of related data need to comply with related laws and regulations and standards of related countries and regions, and be provided with corresponding operation entries for the user to select authorization or rejection. For example, an interface is provided between the system and the relevant user or institution, before acquiring the relevant information, the system needs to send an acquisition request to the user or institution through the interface, and acquire the relevant information after receiving the consent information fed back by the user or institution.
The embodiments of the invention can be applied to various systems/applications/equipment which need to process the current error problem of the financial system, and can realize automatic linkage of the error reporting step, the reference scheme matching process, the problem solving process and the problem feedback step of the operation error of the financial system, so as to obtain an integrated error problem processing method aiming at the financial system, each link does not depend on manual operation any more, and the error problem of the system can be found in time and can be effectively solved.
The present invention will be described in detail with reference to the following examples.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of an error problem handling method for a financial system, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical sequence is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in a different order than that illustrated herein.
FIG. 1 is a flow chart of an alternative error problem handling method for a financial system, as shown in FIG. 1, according to an embodiment of the present invention, the method comprising the steps of:
step S101, receiving an error problem document, wherein the error problem document comprises: the text description of the corresponding current error problem and/or the error problem code and the error occurrence position when the target financial system has the operation error.
Step S102, based on the error problem document, M sets of reference schemes are matched in a system problem database, and a reference scheme data set is formed by the M sets of reference schemes, wherein M is a positive integer.
Step S103, executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file.
Step S104, generating a processing result of the current error problem based on the monitoring file.
Through the steps, the error problem document can be received first, wherein the error problem document comprises: the method comprises the steps of matching M sets of reference schemes in a system problem database based on error problem documents, and forming a reference scheme data set by the M sets of reference schemes, wherein the M sets of reference schemes at least comprise the following steps of: n types of system error problems, R sets of solutions of each type of system error problems and solution reference levels of each set of solutions, then executing a reference solution at an error occurrence position based on the solution reference levels, monitoring an execution process to obtain a monitoring file, and finally generating a processing result of the current error problem based on the monitoring file.
In the embodiment of the invention, a text description and/or an error problem code and an error occurrence position of a current error problem are obtained by utilizing an error problem document for reporting errors generated by a financial system, the related system error problem of the current error problem is automatically searched in a pre-established system problem database based on the text description and/or the error problem code of the current error problem, a solution corresponding to the related system error problem is automatically extracted as a reference solution for solving the current error problem, and then each set of reference solution is executed at the error occurrence position based on a solution reference grade of each set of reference solution pre-stored in the system problem database, so that the execution process of each set of reference solution is automatically monitored, and a processing result of the current error problem is generated. According to the technical scheme provided by the embodiment of the invention, the error reporting step, the reference scheme matching process, the problem solving process and the problem feedback step of the operation errors of the financial system are automatically linked to obtain the integrated error problem processing method aiming at the financial system, each link does not depend on manual operation any more, the timely discovery of the system problems and the efficient solution of the error problems are realized, and the technical problem that the processing efficiency of the error problems caused by the fact that the discovery, the solution and the monitoring of the operation errors of the financial system are not linked in the related art is lower is solved.
Embodiments of the present invention will be described in detail with reference to the above steps.
The implementation subject of the embodiment of the invention is an error problem processing system for a financial system, which comprehensively utilizes natural language processing technology, text mining technology, database technology and collaborative filtering algorithm to perform word segmentation, part-of-speech tagging and syntactic analysis on the word description of the system error problem, extracts keywords and subject terms of the problem, constructs a system problem database, and actively recommends frequently occurring system error problems and solutions according to query records and problem similarity.
Step S101, receiving an error problem document, wherein the error problem document comprises: the text description of the corresponding current error problem and/or the error problem code and the error occurrence position when the target financial system has the operation error.
It should be noted that the text description of the current error problem may include one or more of the following: the phenomenon of the problem, the triggering condition of the problem, the reproduction procedure, the environmental information, the expected result, other remarks, are explained below.
The phenomenon of a problem, i.e., describing the false or abnormal behavior of a system, includes, but is not limited to: system crash, no response, stuck, display anomalies;
The triggering conditions for a problem, i.e., describing suspicious operations before a system error occurs, include, but are not limited to: opening a specific application program and accessing a specific website;
3, repeating the steps, namely describing all operation steps before the system error;
environmental information including, but not limited to: hardware configuration, operating system version and software version of system operation;
5, the expected result, namely describing the normal behavior that the system should exhibit, in order to compare with the actual erroneous behavior;
other remarks, describing other information related to the problem, include, but are not limited to: the frequency of occurrence of the problem, whether there is a related software or hardware change.
It should be noted that the error issue code is used to indicate the error type of the current error issue. Error occurrence locations include, but are not limited to: hard disk damage, memory failure, operating system configuration errors, application program non-response, malware, file damage, network failure, user operation errors. Error types include, but are not limited to: syntax errors, environmental errors, logical errors, data errors.
Step S102, based on the error problem document, M sets of reference schemes are matched in a system problem database, and a reference scheme data set is formed by the M sets of reference schemes, wherein M is a positive integer.
It should be noted that the system problem database at least includes: n types of system error problems, R sets of solutions of each type of system error problem and a solution reference grade of each set of solution, wherein the reference solution comprises solutions of the system error problem with the association degree with the current error problem being larger than a preset association degree threshold value, and N, R is a positive integer.
Optionally, the system problem database is built by the following method: obtaining T historical operation logs of a target financial system, wherein each historical operation log comprises: word description of history error problems and/or history error codes and history solutions, wherein T is a positive integer; data preprocessing is carried out on all historical operation logs based on a preset data format, and N classes of system error problems and N sets of solutions are obtained, wherein each class of system error problems comprises: literal description of system error problem, system error code; setting a solution reference level for each set of solutions based on a preset level rule; and integrating all the system error problems, solutions and the solution reference level of each set of solutions to obtain a system problem database.
It should be noted that, by analyzing the historical operation log of the financial system, the system error problem that occurs in the financial system in the historical time period can be collected, and the solution for solving the system error problem can be obtained, the problem keywords, the problem description, the error code and the like of the system error problem can be further analyzed based on the natural language processing technology, then the data is preprocessed according to the preset data format, and a unified table format is adopted for table falling and saving of all the preprocessed data based on the database technology, so that a system problem database for inquiry can be established.
The method for obtaining the historical operation log of the financial system comprises the following steps: the system running log is accessed using a text editor or command line tool to view and retrieve log files, by accessing an interface of the log monitoring system, or by logging into a central database using an API interface.
It should be noted that the data preprocessing operation includes one or several of the following: data cleaning, missing value processing, format adjustment, data standardization, data encoding, feature selection and the like.
For the system error problem of the financial system, besides the solution scheme in the historical operation log is saved in the system problem database, the appointed third party problem search website can be docked through an API interface, the problem keywords of the system error problem are inquired on the appointed website, and the complete network reference scheme in the inquiry result is collected and saved in association with the corresponding system error problem.
Optionally, before setting the solution reference level for each set of solutions based on the preset level rule, the method further comprises: for each type of system error problem, extracting error keywords in the text description contained in the system error problem; acquiring a network reference scheme of a system error problem from a designated website based on the error keywords; and integrating the solution of each type of system error problem and the network reference solution to obtain an R set of solution of each type of system error problem.
It should be noted that, in the system problem database, R sets of solutions are stored for each system error problem, where R is a positive integer, and reference levels of each set of solutions need to be defined according to a preset level rule and stored in the system problem database in an associated manner, and the definition principle is as follows: if a solution set can actually solve the system error problem, the solution reference level of the solution is defined as the highest level. The higher the solution reference level of a solution, the greater the chance that the solution is recommended.
For example, three scheme reference levels are defined in the embodiment of the present invention, and are respectively: the system comprises a first stage, a second stage and a third stage, wherein the first stage is the highest stage, and the third stage is the lowest stage. According to the definition principle, for a solution extracted from a historical operation log of a financial system, the solution actually solves the problem of system errors in a historical time period, and then a solution reference level of the solution is defined as a first level; and for the network reference scheme collected on the appointed website, defining the scheme reference level of the network reference scheme as a second level, if the network reference scheme is verified later to be capable of actually solving the system error problem, raising the scheme reference level of the network reference scheme as a first level, and if the network reference scheme is verified to be incapable of actually solving the system error problem, lowering the scheme reference level of the network reference scheme as a third level.
In addition, the newly-appearing system error problem in the financial system can be imported into a system problem database through a system background, keywords of the new problem are extracted to perform association degree calculation with the historical problem, and the new problem and the historical problem are stored in an associated mode based on the association degree.
Optionally, the step of matching M sets of reference schemes in the system problem database based on the error problem document includes: extracting text description of the current error problem, and extracting characteristic keywords in the text description; calculating the association degree between the current error problem and N types of system error problems based on the characteristic keywords to obtain N problem association degrees; inquiring P system error problems with the relevance degree larger than a preset relevance degree threshold value to obtain an inquiring result, wherein P is a positive integer and is smaller than or equal to N; and extracting M sets of reference schemes from the system problem database based on the query result.
It should be noted that any one of the following tools may be used to automatically extract feature keywords: NLTK (natural language toolkit, support word frequency statistics, part of speech tagging, keyword extraction, etc.), spaCy (a library of Python, support part of speech tagging, named entity recognition, keyword extraction, etc.), gensim (a library of Python for subject modeling and text similarity calculation, including functions for keyword extraction).
Optionally, the step of matching M sets of reference schemes in the system problem database based on the error problem document further comprises: extracting an error problem code of a current error problem; inquiring in a system problem database based on the error problem codes to determine Q system error problems, wherein Q is a positive integer and is less than or equal to N; and extracting M sets of reference schemes from a system problem database based on the system error problem.
It should be noted that, the embodiment of the present invention provides two query methods: the method for inquiring the error problem codes and the method for inquiring the text description support the method for directly positioning the system error problem related to the current error problem in a system problem database, and the steps of calculating and comparing the association degree are not required after keywords in the text description are extracted. Compared with a query method based on text description, the query method based on the error problem codes has simpler execution steps, but the appropriate query method can be flexibly selected according to actual application scenes in consideration of the fact that error information in error problem documents is not necessarily complete and accurate.
Optionally, after extracting the M sets of reference schemes, further comprising: for each set of reference schemes, extracting scheme reference levels of the reference schemes in a system problem database; and integrating the M sets of reference schemes and the scheme reference grade of each set of reference schemes to obtain a reference scheme data set.
Step S103, executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file.
Optionally, step S103 includes: sequencing M sets of reference schemes in the reference scheme data set based on the scheme reference level to obtain a scheme execution sequence; sequentially executing the reference schemes in the reference scheme data set according to the scheme execution sequence, and monitoring the execution process of each set of reference schemes one by one to obtain a monitoring result; and integrating all monitoring results to obtain a monitoring file.
It should be noted that, the method for monitoring the execution process of the reference scheme may be any one or more of the following: 1, adding a progress bar on an execution interface, and displaying the execution progress of a reference scheme in real time; setting the execution state of a periodic detection reference scheme of a timing task; 3, providing a state query interface, and providing execution progress information for calling the state query interface to acquire a reference scheme; setting an abnormal alarm mechanism, not alarming in a normal execution state, and sending alarm information when the execution is aborted, exceeds a preset time or is finished; and 5, monitoring the execution progress of the reference scheme by using a special third-party monitoring tool.
Optionally, the steps of sequentially executing the reference schemes in the reference scheme dataset according to the scheme execution sequence, including: executing the next reference scheme according to the scheme execution sequence under the condition that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; or, ending the sequential execution under the condition that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem; or, in the case that the monitoring results of all the reference schemes in the M sets of reference schemes indicate that the current error problem is not solved, ending the sequential execution.
Optionally, after the sequence is executed according to the scheme, the method further includes: in the case that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem, reducing the scheme reference level of the reference scheme by one step based on a preset level rule; or, in case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem, raising the scheme reference level of the reference scheme by one step based on a preset level rule.
It should be noted that, the scheme reference level of the reference scheme capable of actually solving the problem of system error is updated according to the preset ordering rule, and in a special case, if the reference scheme to be updated is already marked as a first level (highest level), the reference scheme does not need to be updated.
Likewise, if a reference scheme is verified to be unable to actually solve the system error problem, and the reference scheme to be degraded currently has been marked as three-level (lowest level), there is no need to perform degradation processing on the reference scheme.
And after the sequential execution step is finished, integrating monitoring results of all executed reference schemes to obtain a monitoring file.
Step S104, generating a processing result of the current error problem based on the monitoring file.
It should be noted that the processing result includes two possibilities: one is that a certain reference scheme in the reference scheme set successfully solves the current error problem, and the other is that all the reference schemes in the reference scheme set can not actually solve the current error problem.
After generating the processing result of the current error problem, the method further comprises: and sending the processing result to an operation and maintenance management end and a display interface of the system, and importing the processing result into a system operation log for storage.
According to the embodiment of the invention, the error problem document (error reporting information) of the financial system can be received in real time through a natural language processing technology and an intelligent recommendation technology, the reference scheme of the current error problem can be queried based on the error problem document, the reference scheme is executed at the error occurrence position, the execution process of the reference scheme is monitored and fed back, and all steps are linked according to certain logic, so that an integrated error problem processing method for the financial system is formed, the processing speed of the error problem of the system is increased, and the stability of the financial system is improved.
The invention is described below in connection with another specific embodiment.
The invention provides a problem real-time processing strategy based on natural language processing and intelligent recommendation in a real-time mode, which is used for the processing, solving and feedback processes of error problems of a linkage system, so that the processing process of the error problems of the system is more real-time and efficient.
FIG. 2 is a schematic diagram of an alternative real-time processing system for system error problems, according to an embodiment of the present invention, as shown in FIG. 2, the real-time processing system includes: the system comprises a problem library management module, a problem real-time processing module and a problem query module, wherein the functions of the problem library management module comprise: problem collection and problem association management; the functions of the real-time problem processing module include: problem uploading, problem analysis and processing, problem monitoring and problem feedback; the functions of the question query module include: historical problem inquiry and problem auditing treatment.
It should be noted that, the problem uploading refers to that the target error information appearing in the equipment terminal or the financial system is sent to the problem analysis processing platform through a specific interface, and a corresponding problem inquiry interface is called.
The problem analysis processing refers to the steps of extracting information such as error codes, professional fields, professional terms and the like related to received target error information by utilizing a problem analysis processing platform and combining a natural language processing technology on the basis of a specific corpus, positioning a solution with the association degree of the target error information being larger than a preset association degree threshold in the problem library, and comprehensively obtaining a plurality of reference schemes.
The problem monitoring is timing monitoring after pushing the reference scheme, monitors the state of the equipment terminal according to the information such as IP, MAC, port and the like of the equipment terminal, and if the same error reporting information is received again within the appointed time, the linkage problem analysis module pushes the next reference scheme according to the execution sequence; if other error reporting information is received within the appointed time, the linkage problem analysis module queries a new reference scheme based on the new error reporting information and pushes the new reference scheme; if no error reporting information is received within the designated time, the system error problem indicated by the default target error information is successfully solved, and the timing monitoring program is closed.
The problem feedback refers to integrating all actions (for example, extracting keyword information, inquiring a reference scheme, executing a result, and the like) of a real-time processing system of a system error problem into a feedback log file after the running error occurs in the equipment terminal or the financial system, and feeding back the feedback log file to the operation and maintenance terminal.
FIG. 3 is a flowchart of an alternative system problem handling method based on a real-time processing system, according to an embodiment of the present invention, as shown in FIG. 3, the system problem handling method includes the steps of:
1. and receiving error reporting information.
The error reporting information comprises: error codes, areas of expertise involved, error codes, error location information, and the like.
2. And uploading the error reporting information to a problem inquiry module.
3. And judging whether the current equipment terminal or the financial system has an interactive processing interface or not.
If the current equipment terminal or the financial system does not have the interactive processing interface, the error reporting information is sent to the operation and maintenance terminal through the mailbox; and if the current equipment terminal or the financial system has an interactive processing interface, extracting keyword information of the error reporting information.
4. Keyword information is extracted.
Extracting keywords in the error reporting information through a natural language processing technology, matching system error problems with the association degree larger than a preset association degree threshold value in a problem library by combining an intelligent recommendation algorithm, and extracting a reference scheme corresponding to the system error problems from the problem library based on the system error problems.
5. The reference scheme is executed and the execution process is monitored.
Executing a reference scheme at the error occurrence position, setting a real-time monitoring program to monitor the state of the reference scheme and the error occurrence position according to the information of equipment IP, MAC, ports and the like, and displaying the execution progress corresponding to the reference scheme at the interactive processing interface of the current equipment terminal or the financial system.
6. Judging whether error reporting information is received.
Setting a time threshold, if no error reporting information is received within the time threshold, locating a reference scheme for actually solving the problem of system errors according to the monitoring content of the real-time monitoring program, and raising the scheme recommendation level of the reference scheme in a problem library by one step.
It should be noted that, the recommendation level of the solution characterizes the recommendation degree of the reference solution for solving the current system error problem, and the higher the recommendation level of the solution of the reference solution, the greater the probability that the reference solution successfully solves the current system error problem.
If the error reporting information is received within the time threshold, entering an error reporting information comparison link.
7. Raising the recommendation level of the scheme.
In the case that the current system error problem is successfully solved, the scheme reference level of the corresponding reference scheme in the problem library is increased, and the reference scheme is recommended preferentially when similar system error problems occur later.
8. And comparing whether the error reporting information is the same.
If the error reporting information received at this time is the same as the error reporting information received for the first time, it is indicated that the currently executed reference scheme cannot solve the error problem of the current system, the scheme reference level of the corresponding reference scheme is lowered by one step based on the real-time monitoring program, and the next reference scheme is executed according to the execution sequence.
If the error reporting information received at this time is different from the error reporting information received for the first time, the current execution of the reference scheme is explained to cause a new system error problem, and a link for extracting key word information is returned for re-analysis.
9. And reducing the recommendation level of the scheme.
10. And feeding back a processing result.
If all the reference schemes are executed according to the execution sequence, the current system error problem still cannot be solved, all actions (such as keyword information extraction, reference scheme inquiry, reference scheme execution, execution result and the like) of the real-time processing system for recording the system error problem are integrated into a feedback log file and fed back to the operation and maintenance terminal, and the operation and maintenance terminal performs manual investigation.
In the embodiment of the invention, the error reporting information (error problem document) of the financial system can be received in real time through a natural language processing technology and an intelligent recommending technology, the reference scheme of the current error problem can be queried based on the error reporting information, the reference scheme is executed at the error occurrence position, the execution process of the reference scheme is monitored and fed back, and all steps are linked according to certain logic to form an integrated error problem processing method aiming at the financial system, so that the processing speed of the error problem of the system is increased, and the stability of the financial system is improved.
The invention is described below in connection with alternative embodiments.
Example two
An error problem processing apparatus for a financial system provided in this embodiment includes a plurality of implementation units, each of which corresponds to each implementation step in the above-described embodiment.
FIG. 4 is a schematic diagram of an alternative error problem handling apparatus for a financial system, according to an embodiment of the present invention, as shown in FIG. 4, which may include: the receiving unit 41, the matching unit 42, the executing unit 43, the generating unit 44.
Wherein, the receiving unit 41 is configured to receive an error problem document, where the error problem document includes: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors;
a matching unit 42, configured to match M sets of reference schemes in a system problem database based on the error problem document, and form a reference scheme data set from the M sets of reference schemes, where the system problem database at least includes: n types of system error problems, R sets of solutions of each type of system error problem and solution reference levels of each set of solutions, wherein the reference solutions comprise solutions of the system error problems with the association degree with the current error problem being larger than a preset association degree threshold, and M, N, R is a positive integer;
An execution unit 43, configured to execute a reference scheme in the reference scheme data set at an error occurrence location based on the scheme reference level, and monitor an execution process of the reference scheme to obtain a monitored file;
a generating unit 44 for generating a processing result of the current error problem based on the monitoring file.
The above-mentioned error problem processing apparatus for a financial system may first receive an error problem document through the receiving unit 41, including: the text description of the current error problem and/or the error problem code and the error occurrence position corresponding to the running error of the target financial system are matched in a system problem database based on the error problem document by a matching unit 42, and a reference scheme data set is formed by the M sets of reference schemes, wherein the system problem database at least comprises: n types of system error problems, R sets of solutions of each type of system error problems and solution reference levels of each set of solutions are positive integers M, N, R, then a reference solution in a reference solution data set is executed at an error occurrence position by an execution unit 43 based on the solution reference levels, the execution process of the reference solution is monitored to obtain a monitored file, and finally a processing result of the current error problem is generated by a generation unit 44 based on the monitored file.
According to the embodiment of the invention, the text description and/or the error problem code and the error occurrence position of the current error problem are obtained by utilizing the error problem document for reporting errors generated by the financial system, the related system error problem of the current error problem is automatically searched in the pre-established system problem database based on the text description and/or the error problem code of the current error problem, the solution corresponding to the related system error problem is automatically extracted to be used as a reference solution for solving the current error problem, and then each set of reference solution is executed at the error occurrence position based on the solution reference grade of each set of reference solution pre-stored in the system problem database, so that the execution process of each set of reference solution is automatically monitored, and the processing result of the current error problem is generated. According to the technical scheme provided by the embodiment of the invention, the error reporting step, the reference scheme matching process, the problem solving process and the problem feedback step of the operation errors of the financial system are automatically linked to obtain the integrated error problem processing method aiming at the financial system, each link does not depend on manual operation any more, the timely discovery of the system and the efficient solution of the error problems are realized, and the technical problem that the processing efficiency of the error problems caused by the fact that the discovery, the solution and the monitoring of the operation errors of the financial system are not linked in the related art is lower is solved.
Optionally, the error problem processing apparatus for a financial system further includes: the first obtaining module is configured to obtain T history running logs of the target financial system, where each history running log includes: word description of history error problems and/or history error codes and history solutions, wherein T is a positive integer; the preprocessing module is used for preprocessing data of all historical operation logs based on a preset data format to obtain N types of system error problems and N sets of solutions, wherein each type of system error problems comprises: literal description of system error problem, system error code; the setting module is used for setting a scheme reference grade for each set of solution based on a preset grade rule; and the first integration module is used for integrating all the system error problems, solutions and the solution reference grade of each set of solutions to obtain a system problem database.
Optionally, the error problem processing apparatus for a financial system further includes: the first extraction module is used for extracting error keywords in the text description contained in the system error problems for each type of system error problems; the second acquisition module is used for acquiring a network reference scheme of the system error problem from the appointed website based on the error keywords; and the second integration module is used for integrating the solution of each type of system error problem and the network reference solution to obtain an R set of solution of each type of system error problem.
Optionally, the matching unit includes: the second extraction module is used for extracting the text description of the current error problem and extracting characteristic keywords in the text description; the computing module is used for computing the association degree between the current error problem and the N-class system error problems based on the characteristic keywords to obtain N problem association degrees; the first query module is used for querying P system error problems with the relevance degree larger than a preset relevance degree threshold value to obtain a query result, wherein P is a positive integer and is smaller than or equal to N; and the third extraction module is used for extracting M sets of reference schemes from the system problem database based on the query result.
Optionally, the matching unit further includes: a fourth extraction module, configured to extract an error problem code of the current error problem; the second query module is used for querying in the system problem database based on the error problem code to determine Q system error problems, wherein Q is a positive integer and is smaller than or equal to N; and a fifth extraction module, configured to extract M sets of reference schemes from the system problem database based on the system error problem.
Optionally, the matching unit further includes: a sixth extraction module, configured to extract, for each set of reference schemes, a scheme reference level of the reference scheme in the system problem database; and the third integration module is used for integrating the M sets of reference schemes and the scheme reference grade of each set of reference schemes to obtain a reference scheme data set.
Optionally, the execution unit includes: the ordering module is used for ordering the M sets of reference schemes in the reference scheme data set based on the scheme reference level to obtain a scheme execution sequence; the execution module is used for sequentially executing the reference schemes in the reference scheme data set according to the scheme execution sequence, and monitoring the execution process of each set of reference schemes one by one to obtain a monitoring result; and the fourth integration module is used for integrating all monitoring results to obtain a monitoring file.
Optionally, the execution module includes: the first execution sub-module is used for executing the next reference scheme according to the scheme execution sequence under the condition that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; the second execution sub-module is used for ending the sequential execution under the condition that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem; and the third execution sub-module is used for ending the sequential execution under the condition that monitoring results of all reference schemes in the M sets of reference schemes indicate that the current error problem is not solved.
Optionally, the error problem processing apparatus for a financial system further includes: the degradation module is used for reducing the scheme reference level of the reference scheme by one step based on a preset level rule under the condition that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; and the upgrading module is used for raising the scheme reference level of the reference scheme by one step based on a preset level rule under the condition that the monitoring result of any reference scheme in the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem.
The error problem processing apparatus for a financial system may further include a processor and a memory, wherein the receiving unit 41, the matching unit 42, the executing unit 43, the generating unit 44, and the like are stored as program units in the memory, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor includes a kernel, and the kernel fetches a corresponding program unit from the memory. The kernel may set one or more kernel parameters to generate a processing result of the current error problem based on the monitoring file.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), which includes at least one memory chip.
The application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: receiving an error problem document, wherein the error problem document comprises: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors; matching M sets of reference schemes in a system problem database based on the error problem document, and forming a reference scheme data set by the M sets of reference schemes, wherein the system problem database at least comprises: n types of system error problems, R sets of solutions of each type of system error problem and solution reference levels of each set of solutions, wherein the reference solutions comprise solutions of the system error problems with the association degree with the current error problem being larger than a preset association degree threshold, and M, N, R is a positive integer; executing a reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file; and generating a processing result of the current error problem based on the monitoring file.
According to another aspect of the embodiments of the present invention, there is also provided a computer readable storage medium, including a stored computer program, where the computer program when executed controls a device in which the computer readable storage medium is located to execute any one of the above error problem processing methods for a financial system.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the error problem handling method for a financial system of any of the above.
Fig. 5 is a block diagram of a hardware configuration of an electronic device (or mobile device) for an error problem processing method for a financial system according to an embodiment of the present invention. As shown in fig. 5, the electronic device may include one or more (shown in fig. 5 as 502a, 502b, … …,502 n) processors 502 (the processors 502 may include, but are not limited to, a microprocessor MCU, a programmable logic device FPGA, etc. processing means), a memory 504 for storing data. In addition, the method may further include: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a keyboard, a power supply, and/or a camera. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 5 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the electronic device may also include more or fewer components than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of units may be a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (12)

1. A method for processing an error problem for a financial system, comprising:
receiving an error problem document, wherein the error problem document comprises: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors;
matching M sets of reference schemes in a system problem database based on the error problem document, and forming a reference scheme data set by the M sets of reference schemes, wherein the system problem database at least comprises: n classes of system error problems, R sets of solutions for each class of system error problem and a solution reference level for each set of solutions, wherein the reference solution comprises the solutions of the system error problems with the relevance to the current error problem being greater than a preset relevance threshold, and M, N, R is a positive integer;
Executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file;
and generating a processing result of the current error problem based on the monitoring file.
2. The method of claim 1, wherein the system problem database is created by:
obtaining T historical operation logs of a target financial system, wherein each historical operation log comprises: word description of history error problems and/or history error codes and history solutions, wherein T is a positive integer;
and carrying out data preprocessing on all the historical operation logs based on a preset data format to obtain N classes of system error problems and N sets of solutions, wherein each class of system error problems comprises: literal description of system error problem, system error code;
setting the scheme reference level for each set of the solutions based on a preset level rule;
and integrating all the system error problems, the solutions and the solution reference levels of each set of solutions to obtain the system problem database.
3. The processing method according to claim 2, further comprising, before setting the solution reference level for each set of the solutions based on a preset level rule:
extracting error keywords in text descriptions contained in the system error problems for each type of the system error problems;
acquiring a network reference scheme of the system error problem from a designated website based on the error keyword;
and integrating the solution of each type of system error problem and the network reference solution to obtain an R set of solution of each type of system error problem.
4. The method of processing of claim 1, wherein the step of matching M sets of reference schemes in a system problem database based on the error problem document comprises:
extracting the text description of the current error problem, and extracting characteristic keywords in the text description;
calculating the association degree between the current error problem and the N types of system error problems based on the characteristic keywords to obtain N problem association degrees;
inquiring P system error problems with the relevance degree larger than a preset relevance degree threshold value to obtain an inquiring result, wherein P is a positive integer and is smaller than or equal to N;
And extracting M sets of reference schemes from the system problem database based on the query result.
5. The method of processing of claim 1, wherein the step of matching M sets of reference schemes in a system problem database based on the error problem document, further comprises:
extracting the error question code of the current error question;
inquiring in the system problem database based on the error problem code to determine Q system error problems, wherein Q is a positive integer and is less than or equal to N;
and extracting M sets of reference schemes in the system problem database based on the system error problem.
6. The method of processing according to claim 4 or 5, further comprising, after extracting M sets of the reference schemes:
extracting, for each set of the reference plans, the plan reference level of the reference plan in the system problem database;
and integrating M sets of the reference schemes and scheme reference levels of each set of the reference schemes to obtain the reference scheme data set.
7. The processing method according to claim 1, wherein the step of executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level and monitoring the execution process of the reference scheme to obtain a monitored file includes:
Sorting M sets of reference schemes in the reference scheme data set based on the scheme reference level to obtain a scheme execution sequence;
sequentially executing the reference schemes in the reference scheme data set according to the scheme execution sequence, and monitoring the execution process of each set of the reference schemes one by one to obtain a monitoring result;
and integrating all the monitoring results to obtain the monitoring file.
8. The processing method according to claim 7, wherein the step of sequentially executing the reference schemes in the reference scheme dataset according to the scheme execution sequence includes:
executing a next reference scheme according to the scheme execution sequence in the case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem; or,
ending the sequential execution if the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem; or,
in the case that the monitoring results of all the reference schemes in the M sets of reference schemes indicate that the current error problem is not solved, ending the sequential execution.
9. The processing method according to claim 8, further comprising, after sequentially executing the reference schemes in the reference scheme dataset in accordance with the scheme execution sequence:
in case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme fails to solve the current error problem, reducing the scheme reference level of the reference scheme by one step based on a preset level rule; or,
and in the case that the monitoring result of any one of the M sets of reference schemes indicates that the reference scheme successfully solves the current error problem, raising the scheme reference level of the reference scheme by one step based on a preset level rule.
10. An error problem processing apparatus for a financial system, comprising:
a receiving unit, configured to receive an error problem document, where the error problem document includes: word description of the corresponding current error problem and/or error problem code and error occurrence position when the target financial system has operation errors;
the matching unit is used for matching M sets of reference schemes in a system problem database based on the error problem document, and a reference scheme data set is formed by the M sets of reference schemes, wherein the system problem database at least comprises: n classes of system error problems, R sets of solutions for each class of system error problem and a solution reference level for each set of solutions, wherein the reference solution comprises the solutions of the system error problems with the relevance to the current error problem being greater than a preset relevance threshold, and M, N, R is a positive integer;
The execution unit is used for executing the reference scheme in the reference scheme data set at the error occurrence position based on the scheme reference level, and monitoring the execution process of the reference scheme to obtain a monitoring file;
and the generating unit is used for generating a processing result of the current error problem based on the monitoring file.
11. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program when run controls a device in which the computer readable storage medium is located to execute the error problem handling method for a financial system according to any one of claims 1 to 9.
12. An electronic device comprising one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the error problem handling method for a financial system of any of claims 1 to 9.
CN202311077424.3A 2023-08-24 2023-08-24 Error problem processing method and device for financial system and electronic equipment Pending CN117076174A (en)

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CN202311077424.3A CN117076174A (en) 2023-08-24 2023-08-24 Error problem processing method and device for financial system and electronic equipment

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