CN116719691A - Data monitoring method and device - Google Patents
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Abstract
The application provides a data monitoring method and a device, which can be used in the technical fields of cloud computing, big data and network security, and the method comprises the following steps: the method comprises the steps of obtaining a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system, respectively carrying out scanning processing on the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, carrying out monitoring processing on the scanning processing to generate a system monitoring log, wherein the application data table is a table based on data formed by handling banking business of the banking system, and generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing monitoring related information of the banking system, so that monitoring efficiency and accuracy are improved, and cost and resources are saved.
Description
Technical Field
The application relates to the technical fields of cloud computing, big data and network security, in particular to a data monitoring method and device.
Background
Under the large background of integration of the current institutions of banks, the safety production of the existing banking system is ensured to be an important work, and the current banking system adopts pre-warning.
The pre-warning method comprises two modes of manual monitoring and system tool monitoring.
If manual monitoring is adopted, the defects of low efficiency and low accuracy exist, and if systematic tool monitoring is adopted, the defects of low effectiveness and reliability exist.
Disclosure of Invention
The application provides a data monitoring method and device, which are used for solving the problem of low monitoring effectiveness.
In a first aspect, the present application provides a data monitoring method, including:
acquiring a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system;
respectively scanning the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, and performing monitoring processing on the scanning process to generate a system monitoring log, wherein the application data table is a table based on data formed by the banking system handling banking business;
Generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the banking system.
In some embodiments, the scanning process is monitored to generate a system monitoring log, which includes:
acquiring error reporting information obtained by monitoring the scanning process;
if the error reporting number in the preset time period is greater than a preset first threshold value based on the error reporting information, generating the system monitoring log according to error reporting content in the preset time period, or generating the system monitoring log according to the content obtained by the scanning processing in the preset time period.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained classification model, outputting a type attribute of the first abnormal data, calling a target short message template corresponding to the type attribute, and filling the first abnormal data into the target short message template;
Wherein the classification model is trained based on the first sample data.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is information carrying the target short message content generated based on the target short message content, and the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained short message generation model, and outputting the target short message content;
the short message generation model is obtained based on training of second sample data.
In some embodiments, scanning the monitoring result file to obtain a first scanning result file corresponding to the monitoring result file includes: scanning the monitoring result file according to a preset first service keyword to obtain a first scanning result file;
the prompt message further comprises first prompt information, the first prompt information is determined according to second abnormal data, and the second abnormal data is obtained by analyzing the content corresponding to the first scanning result file in the system monitoring log;
The first prompt message comprises an account number, a serial number, a time interval and abnormal distribution corresponding to the second abnormal data.
In some embodiments, scanning an application data table of the banking system to obtain a second scan result file corresponding to the application data table, including: scanning the application data table according to a preset second service keyword to obtain a second scanning result file;
the prompt message further comprises second prompt information, the second prompt information is determined according to third abnormal data, and the third abnormal data is obtained by analyzing the content corresponding to the second scanning result file in the system monitoring log;
the second prompt message comprises an account number, a serial number, a time interval and operation object information corresponding to the third abnormal data.
In some embodiments, the first scan result file has a first weight coefficient, the second scan result file has a second weight coefficient, the system monitor log has a third weight coefficient, and the sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message comprises the following components:
According to the first weight coefficient, the second weight coefficient and the third weight coefficient, fusing the first scanning result file, the second scanning result file and the system monitoring log to obtain a fused file;
analyzing and processing the fusion file to obtain fourth abnormal data;
and generating and outputting the prompt message according to the fourth abnormal data.
In a second aspect, the present application provides a data monitoring apparatus comprising:
the acquisition unit is used for acquiring a monitoring result file obtained by monitoring a computer running the bank system based on the service guarantee management system;
the scanning unit is used for respectively scanning the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, wherein the application data table is a table based on data formed by the banking system handling banking business;
the monitoring unit is used for monitoring the scanning process and generating a system monitoring log;
the generation unit is used for generating a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the banking system;
And the output unit is used for outputting the prompt message.
In some embodiments, the monitoring unit comprises:
the acquisition subunit is used for acquiring error reporting information obtained by monitoring the scanning process;
and the first generation subunit is used for generating the system monitoring log according to the error reporting content in the preset time period or generating the system monitoring log according to the content obtained by the scanning processing in the preset time period if the error reporting number in the preset time period is determined to be larger than a preset first threshold value based on the error reporting information.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained classification model, outputting a type attribute of the first abnormal data, calling a target short message template corresponding to the type attribute, and filling the first abnormal data into the target short message template;
wherein the classification model is trained based on the first sample data.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is information carrying the target short message content generated based on the target short message content, and the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained short message generation model, and outputting the target short message content;
The short message generation model is obtained based on training of second sample data.
In some embodiments, the scanning unit is configured to perform scanning processing on the monitoring result file according to a preset first service keyword, so as to obtain the first scanning result file;
the prompt message further comprises first prompt information, the first prompt information is determined according to second abnormal data, and the second abnormal data is obtained by analyzing the content corresponding to the first scanning result file in the system monitoring log;
the first prompt message comprises an account number, a serial number, a time interval and abnormal distribution corresponding to the second abnormal data.
In some embodiments, the scanning unit is configured to perform scanning processing on the application data table according to a preset second service keyword, so as to obtain the second scanning result file;
the prompt message further comprises second prompt information, the second prompt information is determined according to third abnormal data, and the third abnormal data is obtained by analyzing the content corresponding to the second scanning result file in the system monitoring log;
The second prompt message comprises an account number, a serial number, a time interval and operation object information corresponding to the third abnormal data.
In some embodiments, the first scan result file has a first weight coefficient, the second scan result file has a second weight coefficient, the system monitor log has a third weight coefficient, and the sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; the generation unit includes:
the fusion subunit is used for carrying out fusion processing on the first scanning result file, the second scanning result file and the system monitoring log according to the first weight coefficient, the second weight coefficient and the third weight coefficient to obtain a fusion file;
the analysis subunit is used for analyzing and processing the fusion file to obtain fourth abnormal data;
and the second generation subunit is used for generating the prompt message according to the fourth abnormal data.
In a third aspect, the present application provides an electronic device comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
The processor executes computer-executable instructions stored in the memory to implement the method of any one of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for performing the method of any of the first aspects when executed by a processor.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method according to any of the first aspects.
The data monitoring method and device provided by the application comprise the following steps: the method comprises the steps of obtaining a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system, respectively carrying out scanning treatment on the monitoring result file and an application data table of the banking system, obtaining a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, carrying out monitoring treatment on the scanning treatment, and generating a system monitoring log, wherein the application data table is a table based on data formed by handling banking business of the banking system, and generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing monitoring related information of the banking system, and synchronously carrying out monitoring treatment on the monitoring result file and the application data table by the service guarantee management system so as to obtain the technical characteristics of determining the prompt message by combining the file obtained by the scanning treatment and the file obtained by the monitoring treatment, thereby realizing the automation of the computer running and the monitoring of the application data table, improving the monitoring efficiency and accuracy, and saving the cost and resources.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of a data monitoring method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a data monitoring method according to another embodiment of the present application;
FIG. 3 is a schematic diagram of a data monitoring method according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a data monitoring device according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a data monitoring device according to another embodiment of the present application;
fig. 6 is a block diagram of an electronic device according to an embodiment of the application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with related laws and regulations and standards, and provide corresponding operation entries for the user to select authorization or rejection.
It should be noted that the data monitoring method and device of the present application can be used in the technical fields of cloud computing, big data and network security, and can also be used in other fields, and the application fields of the data monitoring method and device of the present application are not limited.
Under the large background of the integration of the current institutions of banks, ensuring the safe production of the existing banking systems becomes an extremely important task. The safe production of the banking system can be guaranteed to be generally divided into three ways, wherein the three ways are respectively early warning in advance, timely response in advance and post summary analysis.
The prior early warning is mainly divided into two modes of manual monitoring (such as monitoring of staff of a bank) and system tool monitoring.
Wherein, the manual monitoring is mainly based on monitoring the abnormal operation condition of the banking system and the application data table (including business data) by workers. The system tool monitoring mainly comprises the NetCool monitoring of a service guarantee management system, namely, the bank system is monitored through the service guarantee management system, and the two modes have the following defects.
Under the condition of adopting manual monitoring, the staff is difficult to monitor for 24 hours, usually, the non-working time cannot be monitored in time, and in addition, the total lines and the branches are more in number, the departments are more, so the labor cost is more, and under the condition of monitoring abnormality, the processing (including communication, solving and the like) efficiency is low, and the monitoring accuracy is lower due to the influence of the manual subjective factors.
Under the condition of adopting system tool monitoring, the system tool monitoring can not be connected with a short message platform, the defect of untimely early warning exists, and the system monitoring tool mainly aims at the running level of a banking system and can not aim at the application data surface level, so the defect of low monitoring effectiveness and reliability exists.
In order to avoid at least one of the above problems, the present application proposes an inventive technical idea: the method comprises the steps of obtaining a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system, respectively carrying out scanning processing on the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, carrying out monitoring processing on the scanning processing to generate a system monitoring log, and generating and outputting monitoring related information of the banking system according to the first scanning result file, the second scanning result file and the system monitoring log.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic diagram of a data monitoring method according to an embodiment of the application.
As shown in fig. 1, the method includes:
s101: and acquiring a monitoring result file obtained by monitoring a computer running the banking system based on the service guarantee management system.
The execution body of the embodiment may be a data monitoring device, which may be a server, a terminal device, a processor, a chip, or the like, and is not listed here.
For example, if the data monitoring device is a server, the data monitoring device may be an independent server or a server cluster; the data monitoring device may be a local server or a cloud server, which is not limited in this embodiment.
The step can be understood that the banking system operates on the computer, the service guarantee management system can monitor the operation of the computer so as to obtain a monitoring result, the data monitoring device is in communication connection with the service guarantee management system, and the data monitoring device can acquire a monitoring result file from the service guarantee management system.
The implementation principle of the monitoring result file is not limited, and reference may be made to related technologies.
S102: and respectively scanning the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, and performing monitoring processing on the scanning process to generate a system monitoring log, wherein the application data table is a table based on data formed by the banking system handling banking business.
The data monitoring device may perform a scanning process on the monitoring result file to obtain a first scanning result file, the data monitoring device may also perform a scanning process on the application data table to obtain a second scanning result file, and the data monitoring device may perform a monitoring process in the process of performing the first aspect and the second aspect on the data monitoring device, that is, perform a monitoring process on the scanning process of the first aspect and the second aspect, so as to obtain a system monitoring log.
That is, in the present application, on the basis of the related art that a computer is monitored based on a service guarantee management system, a system monitoring log is obtained by performing a scanning process from two aspects and performing a monitoring process on the scanning process on the basis, the system monitoring log can be understood as a log obtained by monitoring a banking system, and the system monitoring log is determined from various aspects, thus having higher accuracy and reliability.
S103: generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the bank system.
The prompting message can be determined by combining the three-dimensional content, wherein the three-dimensional content comprises a first scanning result file, a second scanning result file and a system monitoring log, and the analysis shows that the system monitoring log has higher effectiveness and reliability, so that the prompting message determined by combining the first scanning result file and the second scanning result file has higher reliability and effectiveness on the basis of the system monitoring log, the automatic monitoring of an application data table is realized, the monitoring working efficiency is improved, and workers are liberated from heavy manual operation, thereby saving time and cost.
Based on the above analysis, the present application provides a data monitoring method, which includes: the method comprises the steps of obtaining a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system, respectively carrying out scanning treatment on the monitoring result file and an application data table of the banking system, obtaining a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, carrying out monitoring treatment on the scanning treatment, and generating a system monitoring log, wherein the application data table is a table based on data formed by banking business handling of the banking system, and generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing monitoring related information of the banking system.
For the convenience of the reader to understand the present application, the data monitoring method of the present application will now be described in detail with reference to fig. 2. Fig. 2 is a schematic diagram of a data monitoring method according to another embodiment of the application.
As shown in fig. 2, the method includes:
s201: and acquiring a monitoring result file obtained by monitoring a computer running the banking system based on the service guarantee management system.
It should be understood that, in order to avoid the cumbersome statement, the present embodiment is not limited with respect to the same technical features as the above-described embodiments.
For example, regarding the implementation principle of S201, reference may be made to S101, which is not described herein.
S202: and respectively carrying out scanning treatment on the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, wherein the application data table is a table based on data formed by handling banking business of the banking system.
Similarly, regarding the implementation principle of S202, reference may be made to S102, which is not described herein.
In some embodiments, scan parameters of the scan process may be set. The scan parameters include scan time, for example, the scan time may be time of timing scan or time of random scan, which is not limited in this embodiment.
S203: and acquiring error reporting information obtained by monitoring the scanning process.
For example, during the scanning process, the data monitoring device may perform an operation of monitoring the scanning process, that is, perform the monitoring process on the scanning process, so as to obtain error reporting information.
For example, in combination with the above analysis, as shown in fig. 3, the data monitoring apparatus may perform timing scanning on the monitoring result file and the application data table, respectively, and perform monitoring (the "monitoring scanning process" shown in fig. 3) in the case of the timing scanning, thereby obtaining error reporting information.
S204: if the error reporting number is greater than the first threshold value within the preset time based on the error reporting information, generating a system monitoring log according to error reporting content within the preset time, or generating the system monitoring log according to the content obtained by scanning within the preset time.
By way of example, in combination with the above analysis and fig. 3, in the case where the data monitoring device performs the monitoring process, the monitoring result may be analyzed to obtain error reporting information, and the error reporting information is monitored and analyzed, so as to generate a system monitoring log when the number of error reporting errors in the preset duration is greater than the preset first threshold.
The preset duration and the preset first threshold may be determined based on a requirement, a history, a test, and the like, which is not limited in this embodiment.
Taking a preset first threshold as an example, the preset first threshold can be relatively larger for a scene with relatively higher demand; conversely, for a scenario where the demand is relatively low, the preset first threshold may be relatively small.
The system monitoring log can be generated in two different modes, wherein one is generated based on error reporting content in a preset time period, and the other is obtained based on scanning processing in a preset time period.
That is, the system monitor log may be generated based on the content in which an error exists, or may be generated based on all the content in a period in which an error exists, to achieve flexibility and diversity in generating the system monitor log.
In this embodiment, by performing monitoring processing on the scanning processing to obtain error reporting information, and generating a system monitoring log in combination with the error reporting information, reliability and effectiveness of generating the system monitoring log can be improved.
S205: generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the bank system.
Similarly, regarding the implementation principle of S205, reference may be made to S103, which is not described herein.
In some embodiments, the alert message includes a short message alert message that is generated based on the system monitoring log.
By way of example, in combination with the above analysis, the system monitors the data stored in the log for the presence of the anomaly, so that the anomaly data can be generated into a short message prompt message.
For example, a short message template is preset in the data monitoring device, and the data monitoring device can fill abnormal data in the system monitoring log into the short message template, so as to generate short message prompt information, and send the short message prompt information to related objects, such as management personnel and the like, in a short message communication mode.
In other embodiments, the hint message may also be sent to the related object by way of report and record (notes) pushing, etc.
As shown in fig. 3, the data processing device may read the system monitoring log to perform system monitoring log processing, specifically may generate a short message log including short message prompt information based on a short message template, and send the short message prompt information to the short message platform through a short message sending process, so as to send the short message prompt information to a related object through the short message platform.
In this embodiment, the validity of monitoring may be achieved by generating a short message prompt message and sending the short message prompt message to the related object.
In other embodiments, the prompt message includes a short message prompt message, where the short message prompt message is generated by analyzing a system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained classification model, outputting a type attribute of the first abnormal data, calling a target short message template corresponding to the type attribute, and filling the first abnormal data into the target short message template.
Wherein the classification model is trained based on the first sample data.
Similarly, the number, the acquisition mode and the training mode of the first sample data are not limited in this embodiment.
The classification model has the ability to identify the type attribute of the data, i.e. in this embodiment the classification model may identify the type attribute of the first anomaly data. The different types of attributes correspond to different short message templates, and for convenience of distinguishing, the short message templates of the type with the first abnormal data can be called as target short message templates, so that the first abnormal data is filled into the target short message templates, and short message prompt information is generated.
The type attribute may be understood as an abnormal type of the first abnormal data, such as a type of abnormal operation of the first abnormal data computer, a type of abnormal operation of the first abnormal data for a worker, and the like, which are not listed herein.
In this embodiment, the type attribute of the first abnormal data is determined by combining with the classification model, so that the first abnormal data is filled into the target short message template corresponding to the type attribute, thereby obtaining the short message prompt information, and improving the efficiency, flexibility and reliability of generating the short message prompt information.
In still other embodiments, the prompting message includes a short message prompting message, where the short message prompting message is information carrying the target short message content generated based on the target short message content, and the short message prompting message is generated by analyzing a system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained short message generation model, and outputting the target short message content.
The short message generation model is trained based on the second sample data.
Similarly, the number, the acquisition mode and the training mode of the first sample data are not limited in this embodiment.
The short message generation model has the capability of generating short message content, that is, in this embodiment, the short message generation model may generate short message content corresponding to the first abnormal data, in order to distinguish the short message content from other short message content, the short message content may be referred to as target short message content, and the data monitoring device generates a short message prompt message including the target short message content on the basis of the first abnormal data.
In this embodiment, the efficiency and reliability of generating the short message prompt information can be improved by combining a pre-trained short message generation model to generate the short message prompt information.
In some embodiments, the scanning processing of the monitoring result file in S202 to obtain a first scanning result file corresponding to the monitoring result file includes: and scanning the monitoring result file according to a preset first service keyword to obtain a first scanning result file.
The prompt message further comprises first prompt information, the first prompt information is determined according to second abnormal data, and the second abnormal data is obtained by analyzing the content corresponding to the first scanning result file in the system monitoring log. The first prompt message comprises an account number, a serial number, a time interval and abnormal distribution corresponding to the second abnormal data.
Similarly, the content and the number of the first service keywords are not limited in this embodiment.
That is, the first prompt information is determined according to the second abnormal data, the second abnormal data is obtained by analyzing part of the content in the system monitoring log, and the part of the content in the system monitoring log is obtained by monitoring the first scanning result file.
The data monitoring device may analyze and process the system monitoring log, where the analysis and process may be understood as data mining as shown in fig. 3, that is, the data monitoring device obtains the first prompt information by mining the data of the system monitoring log.
The embodiment can be understood that when the monitoring result file is scanned, the scanning processing can be specifically implemented based on the first service keyword, that is, the monitoring result file is scanned based on the first service keyword, so as to extract the content corresponding to the first service keyword from the monitoring result file, thereby obtaining the first scanning result file. That is, the first scan result file is the content corresponding to the first service keyword in the monitoring result file.
Correspondingly, the prompt message can comprise first prompt information so as to characterize the second abnormal data determined by the monitoring result file and the system monitoring log through the first prompt information.
In this embodiment, the pertinence of data monitoring may be achieved by determining the second abnormal data by combining the first service keyword and generating the corresponding first prompt information.
In some embodiments, the scanning processing of the application data table of the banking system in S202 to obtain a second scan result file corresponding to the application data includes: and scanning application data according to a preset second service keyword to obtain a second scanning result file.
The prompt message further comprises second prompt information, the second prompt information is determined according to third abnormal data, and the third abnormal data is obtained by analyzing the content corresponding to the second scanning result file in the system monitoring log.
The second prompt message comprises an account number, a serial number, a time interval and operation object information corresponding to the third abnormal data.
Similarly, the content and the number of the second service keywords are not limited in this embodiment. The operation target information includes information of a worker who operates the third abnormal data, such as a job number or the like.
That is, the second prompt information is determined according to the third abnormal data, the third abnormal data is obtained by analyzing part of the content in the system monitoring log, and the part of the content in the system monitoring log is obtained by monitoring the second scanning result file.
The data monitoring device may analyze and process the system monitoring log, where the analysis and process may be understood as data mining as shown in fig. 3, that is, the data monitoring device obtains the second prompt information by mining the data of the system monitoring log.
The embodiment can be understood that when the application data table is scanned, the scanning process can be specifically implemented based on the second service keyword, that is, the scanning process is performed on the application data table based on the second service keyword, so as to extract the content corresponding to the second service keyword from the application data table, thereby obtaining the second scanning result file. That is, the second scan result file is the content corresponding to the second service keyword in the application data table.
Accordingly, the hint message may include a second hint information to characterize the third exception data determined by the application data table and the system monitoring log via the second hint information.
In this embodiment, by determining the third abnormal data by combining the second service keyword and generating the corresponding third prompt information, the pertinence of data monitoring can be achieved.
In some embodiments, the first scan result file has a first weight coefficient, the second scan result file has a second weight coefficient, and the system monitor log has a third weight coefficient, where a sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1, S205 may include the following steps:
a first step of: and according to the first weight coefficient, the second weight coefficient and the third weight coefficient, fusing the first scanning result file, the second scanning result file and the system monitoring log to obtain a fused file.
Similarly, the first weight coefficient, the second weight coefficient, and the third weight coefficient are not limited in this embodiment, and may be determined based on a requirement, a history, a test, and the like.
In combination with the analysis, the system monitoring log is obtained by monitoring the scanning process by the data monitoring device, and in order to improve the effectiveness and reliability of the prompt, in an embodiment, the first scanning result file, the second scanning result file and the system monitoring log are fused, so that the fused file is relatively richer and more comprehensive.
The fusion process may be understood as a process of obtaining a union of the system monitoring log and the first scan result file, and obtaining a union of the system monitoring log and the second scan result file.
The fusion process may also be understood as supplementing the system monitoring log from the first scan file and the second scan file with exception data not monitored by the monitoring process, i.e., exception data not represented in the system monitoring log, based on the corresponding weight coefficients.
The fusion process may also be understood as monitoring the non-abnormal data errors monitored by the monitoring process as abnormal data based on the corresponding weight coefficients, i.e. the non-abnormal data reflected in the system monitoring log is removed from the system monitoring log.
And a second step of: and analyzing and processing the fusion file to obtain fourth abnormal data.
Because the fusion file is relatively rich and reliable, the fourth abnormal data determined based on the fusion file has higher comprehensiveness, reliability and effectiveness.
And a third step of: and generating and outputting a prompt message according to the fourth abnormal data.
Because the fourth abnormal data has higher comprehensiveness, reliability and effectiveness, the prompt message generated based on the fourth abnormal data has higher reliability and effectiveness.
Based on the technical conception, the application also provides a data monitoring device.
Referring to fig. 4, fig. 4 is a schematic diagram of a data monitoring device according to an embodiment of the application.
As shown in fig. 4, the data monitoring apparatus 400 includes:
and the obtaining unit 401 is configured to obtain a monitoring result file obtained by monitoring the computer running the banking system based on the service guarantee management system.
And the scanning unit 402 is configured to perform scanning processing on the monitoring result file and an application data table of the banking system, respectively, to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, where the application data table is a table based on data formed by the banking system handling banking services.
And the monitoring unit 403 is configured to perform a monitoring process on the scanning process, and generate a system monitoring log.
And the generating unit 404 is configured to generate a prompt message according to the first scan result file, the second scan result file, and the system monitoring log, where the prompt message is used to characterize monitoring related information of the banking system.
And an output unit 405, configured to output the hint message.
Referring to fig. 5, fig. 5 is a schematic diagram of a data monitoring device according to another embodiment of the application.
As shown in fig. 5, the data monitoring apparatus 500 includes:
an obtaining unit 501, configured to obtain a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system.
And the scanning unit 502 is configured to perform scanning processing on the monitoring result file and an application data table of the banking system, respectively, to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, where the application data table is a table based on data formed by the banking system handling banking services.
And the monitoring unit 503 is configured to perform a monitoring process on the scanning process, and generate a system monitoring log.
In some embodiments, as can be seen in conjunction with fig. 5, the monitoring unit 503 includes:
an acquisition subunit 5031 is configured to acquire error reporting information obtained by performing a monitoring process on the scanning process.
The first generating subunit 5032 is configured to generate the system monitoring log according to the error reporting content in the preset duration, or generate the system monitoring log according to the content obtained by the scanning processing in the preset time, if the error reporting number in the preset duration is determined to be greater than a preset first threshold based on the error reporting information.
And the generating unit 504 is configured to generate a prompt message according to the first scan result file, the second scan result file, and the system monitoring log, where the prompt message is used to characterize monitoring related information of the banking system.
An output unit 505, configured to output the hint message.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained classification model, outputting a type attribute of the first abnormal data, calling a target short message template corresponding to the type attribute, and filling the first abnormal data into the target short message template.
Wherein the classification model is trained based on the first sample data.
In some embodiments, the prompt message includes a short message prompt message, where the short message prompt message is information carrying the target short message content generated based on the target short message content, and the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained short message generation model, and outputting the target short message content.
The short message generation model is obtained based on training of second sample data.
In some embodiments, the scanning unit 502 is configured to perform a scanning process on the monitoring result file according to a preset first service keyword, so as to obtain the first scanning result file.
The prompt message further comprises first prompt information, the first prompt information is determined according to second abnormal data, and the second abnormal data is obtained by analyzing content corresponding to the first scanning result file in the system monitoring log.
The first prompt message comprises an account number, a serial number, a time interval and abnormal distribution corresponding to the second abnormal data.
In some embodiments, the scanning unit 502 is configured to perform a scanning process on the application data table according to a preset second service keyword, so as to obtain the second scan result file.
The prompt message further comprises second prompt information, the second prompt information is determined according to third abnormal data, and the third abnormal data is obtained by analyzing the content corresponding to the second scanning result file in the system monitoring log.
The second prompt message comprises an account number, a serial number, a time interval and operation object information corresponding to the third abnormal data.
In some embodiments, the first scan result file has a first weight coefficient, the second scan result file has a second weight coefficient, the system monitor log has a third weight coefficient, and the sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; the generating unit 504 includes:
and the fusion subunit 5041 is configured to fuse the first scan result file, the second scan result file, and the system monitoring log according to the first weight coefficient, the second weight coefficient, and the third weight coefficient to obtain a fused file.
And an analysis subunit 5042, configured to perform analysis processing on the fusion file to obtain fourth abnormal data.
A second generating subunit 5043, configured to generate the hint message according to the fourth exception data.
Based on the above technical concept, the present application further provides a computer readable storage medium, in which computer executable instructions are stored, the computer executable instructions being used to implement the data processing method according to any of the above embodiments when being executed by a processor.
Based on the above technical idea, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method according to any of the first aspects.
Based on the technical conception, the application also provides electronic equipment, which comprises: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the data processing method as described in any of the embodiments above.
Referring to fig. 6, fig. 6 is a block diagram of an electronic device 600 according to an embodiment of the application. The electronic device 600 may be, among other things, a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, etc.
The electronic device 600 may include one or more of the following components: a processing component 601, a memory 602, a power component 603, a multimedia component 604, an audio component 605, an input/output (I/O) interface 606, a sensor component 607, and a communication component 608.
The processing component 601 generally controls overall operation of the electronic device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 601 may include one or more processors 6011 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 601 may include one or more modules that facilitate interactions between the processing component 601 and other components. For example, the processing component 601 may include a multimedia module to facilitate interaction between the multimedia component 604 and the processing component 601.
The memory 602 is configured to store various types of data to support operations at the electronic device 600. Examples of such data include instructions for any application or method operating on the electronic device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 602 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 603 provides power to the various components of the electronic device 600. The power components 603 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 600.
The multimedia component 604 includes a screen between the electronic device 600 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 604 includes a front camera and/or a rear camera. When the electronic device 600 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 606 is configured to output and/or input audio signals. For example, the audio component 606 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 605 or transmitted via the communication component 608. In some embodiments, the audio component 606 further comprises a speaker for outputting audio signals.
The input/output interface 606 provides an interface between the processing component 601 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 607 includes one or more sensors for providing status assessment of various aspects of the electronic device 600. For example, the sensor assembly 607 may detect the on/off state of the electronic device 600, the relative positioning of components, such as a display and keypad of the electronic device 600, the sensor assembly 607 may also detect the change in position of the electronic device 600 or a component of the electronic device 600, the presence or absence of a user's contact with the electronic device 600, the orientation or acceleration/deceleration of the electronic device 600, and a change in temperature of the electronic device 600. The sensor assembly 607 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 607 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 607 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 608 is configured to facilitate communication between the electronic device 600 and other devices, either wired or wireless. The electronic device 600 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or the like, or a combination thereof. In one exemplary embodiment, the communication component 608 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 608 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer-readable storage medium is also provided, such as a memory 602, including instructions executable by the processor 6011 of the electronic device 600 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
The non-transitory computer readable storage medium provided in this embodiment implements the data processing method described in any one of the above embodiments when instructions in the storage medium are executed by a processor of a terminal device.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method of data monitoring, the method comprising:
acquiring a monitoring result file obtained by monitoring a computer running a banking system based on a service guarantee management system;
Respectively scanning the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, and performing monitoring processing on the scanning process to generate a system monitoring log, wherein the application data table is a table based on data formed by the banking system handling banking business;
generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the banking system.
2. The method of claim 1, wherein monitoring the scanning process to generate a system monitoring log comprises:
acquiring error reporting information obtained by monitoring the scanning process;
if the error reporting number in the preset time period is greater than a preset first threshold value based on the error reporting information, generating the system monitoring log according to error reporting content in the preset time period, or generating the system monitoring log according to the content obtained by the scanning processing in the preset time period.
3. The method according to claim 1 or 2, wherein the prompt message includes a short message prompt message, the short message prompt message is generated by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained classification model, outputting a type attribute of the first abnormal data, calling a target short message template corresponding to the type attribute, and filling the first abnormal data into the target short message template;
wherein the classification model is trained based on the first sample data.
4. The method according to claim 1 or 2, wherein the prompt message includes a short message prompt message, the short message prompt message is generated based on the target short message content by analyzing the system monitoring log to obtain first abnormal data in the system monitoring log, inputting the first abnormal data into a pre-trained short message generation model, outputting the target short message content, and generating information carrying the target short message content based on the target short message content;
the short message generation model is obtained based on training of second sample data.
5. The method according to any one of claims 1 to 4, wherein scanning the monitoring result file to obtain a first scanning result file corresponding to the monitoring result file includes: scanning the monitoring result file according to a preset first service keyword to obtain a first scanning result file;
the prompt message further comprises first prompt information, the first prompt information is determined according to second abnormal data, and the second abnormal data is obtained by analyzing the content corresponding to the first scanning result file in the system monitoring log;
the first prompt message comprises an account number, a serial number, a time interval and abnormal distribution corresponding to the second abnormal data.
6. The method according to any one of claims 1-4, wherein scanning the application data table of the banking system to obtain a second scan result file corresponding to the application data table includes: scanning the application data table according to a preset second service keyword to obtain a second scanning result file;
the prompt message further comprises second prompt information, the second prompt information is determined according to third abnormal data, and the third abnormal data is obtained by analyzing the content corresponding to the second scanning result file in the system monitoring log;
The second prompt message comprises an account number, a serial number, a time interval and operation object information corresponding to the third abnormal data.
7. A method according to any of claims 1-3, wherein the first scan result file has a first weight coefficient, the second scan result file has a second weight coefficient, the system monitor log has a third weight coefficient, and the sum of the first weight coefficient, the second weight coefficient, and the third weight coefficient is 1; generating and outputting a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message comprises the following components:
according to the first weight coefficient, the second weight coefficient and the third weight coefficient, fusing the first scanning result file, the second scanning result file and the system monitoring log to obtain a fused file;
analyzing and processing the fusion file to obtain fourth abnormal data;
and generating and outputting the prompt message according to the fourth abnormal data.
8. A data monitoring device, the device comprising:
the acquisition unit is used for acquiring a monitoring result file obtained by monitoring a computer running the bank system based on the service guarantee management system;
The scanning unit is used for respectively scanning the monitoring result file and an application data table of the banking system to obtain a first scanning result file corresponding to the monitoring result file and a second scanning result file corresponding to the application data table, wherein the application data table is a table based on data formed by the banking system handling banking business;
the monitoring unit is used for monitoring the scanning process and generating a system monitoring log;
the generation unit is used for generating a prompt message according to the first scanning result file, the second scanning result file and the system monitoring log, wherein the prompt message is used for representing the monitoring related information of the banking system;
and the output unit is used for outputting the prompt message.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1 to 7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1 to 7.
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| CN202310629155.0A CN116719691A (en) | 2023-05-30 | 2023-05-30 | Data monitoring method and device |
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