CN112434082A - Operation and maintenance resource management method, device, equipment and medium - Google Patents
Operation and maintenance resource management method, device, equipment and medium Download PDFInfo
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Abstract
The application relates to the technical field of artificial intelligence, and discloses an operation and maintenance resource management method, device, equipment and medium, wherein the method comprises the following steps: acquiring resource analysis customization requirements; customizing requirements according to resource analysis, and acquiring operation and maintenance data to be processed; desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data; preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data; marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database; and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result. Therefore, operation and maintenance work is reduced, the accuracy of operation and maintenance results is improved, the data safety is improved, the dimensionality of the operation and maintenance data is increased, and the application value of the operation and maintenance data is improved. The application still relates to the block chain technique, and this application is applicable in fields such as wisdom government affairs, wisdom medical treatment, science and technology finance.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a method, an apparatus, a device, and a medium for managing operation and maintenance resources.
Background
Whether the online application system can bring stable and excellent use experience to users or not is very important for operation and maintenance work, and the operation and maintenance work can not carry out overall management on system resources of the application system. In the prior art, the system resources of the application system are managed comprehensively by manpower, so that the workload of operation and maintenance personnel is increased; moreover, the system resources of the application system are managed by manpower, which may cause negligence, and the accuracy of the operation and maintenance result is affected.
Disclosure of Invention
The application mainly aims to provide an operation and maintenance resource management method, device, equipment and medium, and aims to solve the technical problems that at present, system resources of an application system are comprehensively managed manually, the workload of operation and maintenance personnel is increased, and the accuracy of operation and maintenance results is influenced.
In order to achieve the above object, the present application provides an operation and maintenance resource management method, including:
acquiring resource analysis customization requirements;
acquiring operation and maintenance data to be processed according to the resource analysis customization requirements;
desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database;
and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
Further, the step of obtaining the operation and maintenance data to be processed according to the resource analysis customization requirement includes:
according to the application system data of the resource analysis customization demand, determining target application system data;
determining login account data of the target application system data according to the data acquisition permission data of the resource analysis customization requirement and the target application system data;
and acquiring the operation and maintenance data to be processed according to the login account data, the target application system data and the data acquisition configuration data of the resource analysis customization requirement.
Further, the step of performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data includes:
performing character recognition on the operation and maintenance data to be processed to obtain sensitive character data to be removed;
and inputting the character data to be desensitized into a desensitization model for sensitive information processing to obtain the desensitized operation and maintenance data, wherein the desensitization model is a model obtained based on neural network training.
Further, the step of labeling the preprocessed operation and maintenance data to obtain target operation and maintenance data includes:
sending the preprocessed operation and maintenance data to a data annotation end;
and acquiring an operation and maintenance data labeling result sent by the data labeling end, and taking the operation and maintenance data labeling result as the target operation and maintenance data.
Further, the step of performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result includes:
acquiring a statistical analysis request, wherein the statistical analysis request carries a resource analysis index identifier;
responding to the statistical analysis request, acquiring a resource analysis index from the resource analysis customization demand according to the resource analysis index identification, and taking the acquired resource analysis index as a target resource analysis index;
and performing statistical analysis according to the target resource analysis index and the target operation and maintenance data to obtain a target resource analysis result, and storing the target resource analysis result to a block chain of a block chain system.
Further, after the step of performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result, the method further includes:
storing the target resource analysis results in the database;
acquiring an analysis result export request, wherein the analysis result export request carries a resource analysis result identifier and an export address;
responding to the analysis result export request, and determining a resource analysis result to be exported from the target resource analysis result of the database according to a resource analysis result identifier carried by the analysis result export request;
exporting the resource analysis result to be exported to the export address.
Further, before the step of performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data, the method further includes:
acquiring a data import request, wherein the data import request carries operation and maintenance data to be imported;
responding to the data import request, importing the operation and maintenance data to be imported into the database, and taking the imported operation and maintenance data to be imported as the operation and maintenance data to be processed.
This application has still provided an operation and maintenance resource management device, the device includes:
the demand acquisition module is used for acquiring resource analysis customization demands;
the to-be-processed operation and maintenance data acquisition module is used for acquiring the to-be-processed operation and maintenance data according to the resource analysis customization requirements;
desensitizing the operation and maintenance data, and performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
the operation and maintenance data preprocessing module is used for preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
the operation and maintenance data labeling module is used for labeling the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database;
and the statistical analysis module is used for performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
The present application further proposes a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
The present application also proposes a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any of the above.
According to the operation and maintenance resource management method, device, equipment and medium, the operation and maintenance data to be processed are automatically obtained according to the resource analysis customization requirements, and are automatically processed, so that the operation and maintenance work is reduced, and the accuracy of the operation and maintenance result is improved; by means of desensitization processing of the operation and maintenance data to be processed, sensitive information is prevented from being leaked, and data safety is improved; by labeling the preprocessed operation and maintenance data, the dimensionality of the operation and maintenance data is increased, the operation and maintenance data can be combined and then subjected to statistical analysis, and the application value of the operation and maintenance data is improved.
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Fig. 1 is a schematic flowchart of an operation and maintenance resource management method according to an embodiment of the present application;
fig. 2 is a schematic block diagram of an operation and maintenance resource management apparatus according to an embodiment of the present application;
fig. 3 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In order to solve the technical problems that in the prior art, the system resources of an application system are comprehensively managed by manpower, the workload of operation and maintenance personnel is increased, and the accuracy of operation and maintenance results is influenced, the operation and maintenance resource management method is provided, can be applied to the technical field of artificial intelligence, and can also be applied to the technical field of block chains. The operation and maintenance resource management method automatically acquires the operation and maintenance data to be processed according to the resource analysis customization requirements, automatically processes the operation and maintenance data to be processed, reduces operation and maintenance work, and improves the accuracy of operation and maintenance results.
Referring to fig. 1, the operation and maintenance resource management method includes:
s1: acquiring resource analysis customization requirements;
s2: acquiring operation and maintenance data to be processed according to the resource analysis customization requirements;
s3: desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
s4: preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
s5: marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database;
s6: and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
The operation and maintenance data to be processed are automatically obtained according to the resource analysis customization requirements, and are automatically processed, so that the operation and maintenance work is reduced, and the accuracy of the operation and maintenance result is improved; by means of desensitization processing of the operation and maintenance data to be processed, sensitive information is prevented from being leaked, and data safety is improved; by labeling the preprocessed operation and maintenance data, the dimensionality of the operation and maintenance data is increased, the operation and maintenance data can be combined and then subjected to statistical analysis, and the application value of the operation and maintenance data is improved.
For S1, the resource analysis customization requirement refers to a requirement for statistical analysis of the operation and maintenance data. And determining the resource analysis customization requirements according to the service scene. For example, in the field of small and micro loans, including a plurality of business outlets in one line and small and micro loan services on the line, a stable loan putting process is required for a loan service, the stable loan putting process requires a streamlined loan system, how to enable the loan service to meet the user requirements and provide high-quality and timely services is a key point that operation and maintenance staff need to pay attention to, and at this time, the operation and maintenance staff urgently need to help them to master the real-time situation of the loan system by counting and analyzing resources of the loan system, so that resource analysis customization requirements can be determined according to the needs of the operation and maintenance staff to count and analyze the resources, which is not specifically limited by the examples.
Resource analysis customization requirements include, but are not limited to: data acquisition permission data, application system data, data acquisition configuration data and resource analysis indexes.
The data acquisition permission data includes: application system name, account number, password and acquisition permission. Each account corresponds to one collection authority set. The collection permission sets corresponding to different accounts may be the same or different.
Preferably, the data acquisition permission data further includes: API (application program interface) level operational rights. The API level operation authority refers to an operation authority of a specific operation request, such as an operation authority for data and files. And the application system verifies the identity validity according to the account number and the password, verifies the target operation request according to the API level operation authority after the identity validity is verified, and can respond to and execute the target operation request after the target operation request is verified. For example, for separate authority (that is, different API level operation authorities are adopted) authentication requirements of a Get request (a request for requesting data to a server) carrying no large amount of form data and a Post request (a request for submitting data to the server) carrying the form data, the user group a may enjoy part of API operation authorities of a Get request interface, and the API interface of a Post request type requires a higher level user group authority, so as to avoid data leakage from the source, which is not specifically limited in this example.
The application system data includes: application system name, application system access address.
The data acquisition configuration data refers to rules and requirements of data acquisition. For example, the data acquisition configuration data is acquired at a time of day, and this example is not limited in particular. For another example, the data acquisition configuration data is acquired at preset time intervals, and the example is not limited in particular.
The resource analysis indexes include: a resource analysis method, and analysis configuration data.
The resource analysis method comprises at least one resource analysis step, and each resource analysis step comprises at least one analysis algorithm.
The analysis configuration data is the use requirement of the data when the analysis algorithm is calculated. For example, when the analysis algorithm is to calculate an average value, the analysis configuration data corresponding to the analysis algorithm is to calculate an average value in the last week, which is not specifically limited in this example.
And S2, acquiring operation and maintenance data from an application system according to the resource analysis customization requirement and a preset time interval, and taking the acquired operation and maintenance data as the operation and maintenance data to be processed.
The operation and maintenance data is data generated in the operation of the application system. The operation and maintenance data includes but is not limited to: CPU usage data, system resource usage data, log data.
And S3, performing sensitivity identification and desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data.
Sensitive recognition means recognizing sensitive characters. For example, the sensitive words are an account number and a password, which are not limited in this example.
And the desensitization processing refers to deleting sensitive characters or replacing the sensitive characters with preset characters. For example, each character in the sensitive text is replaced by an asterisk, which is not specifically limited by the examples herein.
And S4, performing normalization processing on the desensitized operation and maintenance data to obtain the preprocessed operation and maintenance data. Therefore, the operation and maintenance data after being preprocessed conform to the unified standard, and the accuracy of statistical analysis is improved.
Preferably, the step of preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data includes:
s41: performing data cleaning on the desensitized operation and maintenance data to obtain cleaned operation and maintenance data;
and inputting the desensitized operation and maintenance data into a data cleaning model for data cleaning, and acquiring the cleaned operation and maintenance data output by the data cleaning model.
Data cleansing, a process of re-examining and verifying Data, in order to remove duplicate information, correct existing errors, and provide Data consistency.
The data cleaning model is a model obtained based on neural network training.
S42: carrying out extreme value identification and extreme value removal processing on the cleaned operation and maintenance data to obtain the operation and maintenance data subjected to extreme value removal;
and inputting the cleaned operation and maintenance data into an extreme value processing model for extreme value identification and extreme value removal processing, and acquiring the operation and maintenance data which is output by the extreme value processing model and subjected to extreme value removal. The purpose of the de-extremum processing is to remove the interfering data.
The extreme value refers to dirty data. The extrema include, but are not limited to: too large interference value and too small interference value.
And the extremum removing processing refers to discarding or adjusting the extremum to be within a boundary range.
The extreme value processing model is a model obtained based on neural network training.
S43: and carrying out normalization processing on the operation and maintenance data subjected to extreme value removal to obtain the preprocessed operation and maintenance data.
It can be understood that the technical solution of normalization processing adopted for different requirements is different, and the purpose of normalization processing is to remove interference data. For example, the normalization process is to normalize the operation and maintenance data after the extremum is removed to be between 0 and 1, which is not limited in this example. For another example, the normalization process is to make the operation and maintenance data distribution after the extremum is removed conform to the distribution proportion of the normal distribution, which is not limited in this example.
For S5, the preprocessed operation and maintenance data are labeled, the labeled target operation and maintenance data are stored in a database, and the data dimension of statistical analysis is increased through labeling, so that the statistical analysis is performed after a plurality of target operation and maintenance data are combined.
For example, the labeling is to add a data source tag, which is not specifically limited herein.
And S6, acquiring target operation and maintenance data from a database according to the resource analysis customization requirement, and performing statistical analysis on the target operation and maintenance data according to the resource analysis index of the resource analysis customization requirement to obtain the target resource analysis result.
The target resource analysis result, that is, the resource analysis result.
In an embodiment, the step of obtaining the operation and maintenance data to be processed according to the resource analysis customization requirement includes:
s21: according to the application system data of the resource analysis customization demand, determining target application system data;
s22: determining login account data of the target application system data according to the data acquisition permission data of the resource analysis customization requirement and the target application system data;
s23: and acquiring the operation and maintenance data to be processed according to the login account data, the target application system data and the data acquisition configuration data of the resource analysis customization requirement.
According to the method, the operation and maintenance data are acquired from the target application system by butting with the target application system according to the resource analysis customization requirements, so that the operation and maintenance data are acquired automatically, and the operation and maintenance work is reduced; and the acquired operation and maintenance data meet the resource analysis customization requirements, and the accuracy of the operation and maintenance result is improved.
For S21, obtaining the application system data from the resource analysis customization requirement, and taking the obtained application system data as the target application system data. That is, the target application system data includes: application system name, application system access address.
It is understood that the number of the target application system data may be one or more.
For step S22, obtaining login account data of each target application system data from the data acquisition permission data of the resource analysis customization requirement. The login account data comprises an account and a password.
It is understood that the login account data of different target application system data may be the same or different.
And S23, logging in a target application system corresponding to the target application system data by using the login account data, acquiring operation and maintenance data from the target application system according to the data acquisition permission data and the data acquisition configuration data of the resource analysis customization requirements, and taking the acquired operation and maintenance data as the operation and maintenance data to be processed.
Preferably, the operation and maintenance data of the target application system is data generated according to a compliance specification generated by a variable system; the variable system generates the compliance specification in accordance with an industry specification and an enterprise specification. For example, compliance specifications include: the data naming specification, the data storage specification, and the system interface definition specification are not specifically limited by way of example.
In an embodiment, the step of performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data includes:
s31: performing character recognition on the operation and maintenance data to be processed to obtain sensitive character data to be removed;
s32: and inputting the character data to be desensitized into a desensitization model for sensitive information processing to obtain the desensitized operation and maintenance data, wherein the desensitization model is a model obtained based on neural network training.
According to the embodiment, the sensitive characters are identified and desensitized, so that the leakage of sensitive information is avoided, and the data security is improved.
For S31, text data are obtained from the operation and maintenance data to be processed, and the obtained text data are used as the character data to be desensitized; acquiring image data from the operation and maintenance data to be processed, recognizing texts in the image data by adopting an OCR (character recognition) technology, and taking the recognized texts as the character data to be desensitized. That is, the character recognition includes the character recognition in the text and also the character recognition in the image data.
And S32, inputting the character data to be desensitized into a desensitization model to delete sensitive information or replace the character data with a preset character, and acquiring the desensitized operation and maintenance data output by the desensitization model.
In an embodiment, the step of labeling the preprocessed operation and maintenance data to obtain the target operation and maintenance data includes:
s51: sending the preprocessed operation and maintenance data to a data annotation end;
s52: and acquiring an operation and maintenance data labeling result sent by the data labeling end, and taking the operation and maintenance data labeling result as the target operation and maintenance data.
The embodiment realizes the labeling of the preprocessed operation and maintenance data, increases the dimensionality of the operation and maintenance data through labeling, is favorable for performing statistical analysis after combining a plurality of target operation and maintenance data, and improves the application value of the operation and maintenance data.
For S51, acquiring a label sending rule; and sending the preprocessed operation and maintenance data to the data labeling end according to the labeling sending rule.
The label sending rule is a rule to which data label end the label is sent.
It is understood that the number of the data annotation end may be one or more.
And the marking personnel marks data at the data marking end according to the marking rule and sends the operation and maintenance data marking result through the data marking end after marking.
And the marking rule is determined according to the requirements of the business department. For example, the tagging rule is to add a data source tag, and is not specifically limited by the example.
For S52, it is understood that the number of the target operation and maintenance data may be one or more.
And each target operation and maintenance data corresponds to the same target application system.
And each target operation and maintenance data carries an operation and maintenance data identifier.
The operation and maintenance data identifier may be an identifier that uniquely identifies a target operation and maintenance data, such as an operation and maintenance data ID and an operation and maintenance data name.
In an embodiment, the step of performing statistical analysis according to the resource analysis customization requirement and the target operation and maintenance data to obtain a target resource analysis result includes:
s61: acquiring a statistical analysis request, wherein the statistical analysis request carries a resource analysis index identifier;
s62: responding to the statistical analysis request, acquiring a resource analysis index from the resource analysis customization demand according to the resource analysis index identification, and taking the acquired resource analysis index as a target resource analysis index;
s63: and performing statistical analysis according to the target resource analysis index and the target operation and maintenance data to obtain a target resource analysis result, and storing the target resource analysis result to a block chain of a block chain system.
According to the method and the device, statistical analysis is carried out according to the resource analysis customization requirements and the target operation and maintenance data, the target operation and maintenance data are determined according to the resource analysis customization requirements, the accuracy of the target resource analysis results is improved, operation and maintenance personnel and/or business personnel can be helped to quickly find problems through the target resource analysis results, and the value of a target application system is favorably improved.
For S61, the statistical analysis request input by the user may be obtained, or the statistical analysis request actively triggered by the program file for implementing the operation and maintenance resource management method may also be obtained.
The statistical analysis request is a request for performing statistical analysis on the target operation and maintenance data.
The resource analysis index identifier may be an identifier that uniquely identifies one resource analysis index, such as a resource analysis index ID and a resource analysis index name.
And S62, responding to the statistical analysis request, searching the resource analysis index identification in the resource analysis customization requirement, and taking the resource analysis index corresponding to the searched resource analysis index identification as a target resource analysis index.
And S63, performing statistical analysis on the target operation and maintenance data according to the resource analysis method and the analysis configuration data of the resource analysis index, and taking the statistical analysis result as the target resource analysis result.
It is understood that each resource analysis indicator corresponds to one of the target resource analysis results.
It should be emphasized that, in order to further ensure the privacy and security of the target resource analysis result, the target resource analysis result may also be stored on the blockchain of the blockchain system.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product services layer, and an application services layer.
The block chain underlying platform can comprise processing modules such as user management, basic service, intelligent contract and operation monitoring. The user management module is responsible for identity information management of all blockchain participants, and comprises public and private key generation maintenance (account management), key management, user real identity and blockchain address corresponding relation maintenance (authority management) and the like, and under the authorization condition, the user management module supervises and audits the transaction condition of certain real identities and provides rule configuration (wind control audit) of risk control; the basic service module is deployed on all block chain node equipment and used for verifying the validity of the service request, recording the service request to storage after consensus on the valid request is completed, for a new service request, the basic service firstly performs interface adaptation analysis and authentication processing (interface adaptation), then encrypts service information (consensus management) through a consensus algorithm, transmits the service information to a shared account (network communication) completely and consistently after encryption, and performs recording and storage; the intelligent contract module is responsible for registering and issuing contracts, triggering the contracts and executing the contracts, developers can define contract logics through a certain programming language, issue the contract logics to a block chain (contract registration), call keys or other event triggering and executing according to the logics of contract clauses, complete the contract logics and simultaneously provide the function of upgrading and canceling the contracts; the operation monitoring module is mainly responsible for deployment, configuration modification, contract setting, cloud adaptation in the product release process and visual output of real-time states in product operation, such as: alarm, monitoring network conditions, monitoring node equipment health status, and the like.
In an embodiment, after the step of performing statistical analysis according to the resource analysis customization requirement and the target operation and maintenance data to obtain a target resource analysis result, the method further includes:
s71: storing the target resource analysis results in the database;
s72: acquiring an analysis result export request, wherein the analysis result export request carries a resource analysis result identifier and an export address;
s73: responding to the analysis result export request, and determining a resource analysis result to be exported from the target resource analysis result of the database according to a resource analysis result identifier carried by the analysis result export request;
s74: exporting the resource analysis result to be exported to the export address.
According to the embodiment, the target resource analysis result is exported according to the analysis result export request, so that the individualized data export requirement of the user can be met, and the user experience is improved.
For S71, obtaining the statistical time of the target resource analysis result, and storing the target resource analysis result and the statistical time of the target resource analysis result in the database.
For S72, an analysis result derivation request input by the user is acquired.
The analysis result derivation request is a request for deriving a target resource analysis result.
The resource analysis result identifier may be an identifier that uniquely identifies one resource analysis result, such as an analysis result name and an analysis result ID.
And the export address is a storage file address acquisition mailbox address.
And S73, responding to the analysis result derivation request, searching the resource analysis result identification carried by the analysis result derivation request in the target resource analysis result of the database, and taking the target resource analysis result corresponding to the searched resource analysis result identification as the resource analysis result to be derived.
For S74, when the export address is a storage file address, storing the analysis result of the resource to be exported in a file directory corresponding to the storage file address; and when the export address is a mailbox address, sending the analysis result of the resource to be exported to a mailbox corresponding to the mailbox address as a mail attachment.
In an embodiment, after the step of performing statistical analysis according to the resource analysis customization requirement and the target operation and maintenance data to obtain a target resource analysis result, the method further includes:
s81: acquiring an analysis result display request, wherein the analysis result display request carries a resource analysis result identifier and a display rule;
s82: responding to the analysis result display request, and determining a resource analysis result to be displayed from the target resource analysis result according to a resource analysis result identifier carried by the analysis result display request;
s83: and displaying the resource analysis result to be displayed according to the display rule.
According to the resource analysis method and device, the resource analysis result is displayed according to the analysis result display request, the requirement for personalized display of the user is met, and the user experience is improved.
For S81, an analysis result presentation request input by the user is obtained.
The analysis result display request is a request for displaying the analysis result of the resource.
The presentation rule refers to a form of presenting a resource analysis result. Presentation rules include, but are not limited to: displaying according to a list, displaying according to a chart and displaying only the top ten ranks.
And S82, searching the resource analysis result identifier carried by the analysis result display request in the target resource analysis result, and taking the target resource analysis result corresponding to the searched resource analysis result identifier as the resource analysis result to be displayed.
And S83, displaying the resource analysis result to be displayed in real time according to the display rule.
In an embodiment, before the step of performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data, the method further includes:
s031: acquiring a data import request, wherein the data import request carries operation and maintenance data to be imported;
s032: responding to the data import request, importing the operation and maintenance data to be imported into the database, and taking the imported operation and maintenance data to be imported as the operation and maintenance data to be processed.
According to the method and the device, the operation and maintenance data are manually imported into the database, the requirement for obtaining the personalized operation and maintenance data of the user is favorably met, and the user experience is improved.
For S031, a data import request input by the user is obtained.
The data import request refers to a request for importing operation and maintenance data into a database.
And (4) the operation and maintenance data is to be imported, namely the operation and maintenance data.
Preferably, the operation and maintenance data to be imported carries an operation and maintenance data identifier.
And for S032, importing the operation and maintenance data to be imported into the database, taking the imported operation and maintenance data to be imported as the operation and maintenance data to be processed, and taking an operation and maintenance data identifier carried by the operation and maintenance data to be imported as an operation and maintenance data identifier of the operation and maintenance data to be processed.
In an embodiment, when the operation and maintenance data to be processed is alarm log data, after the step of determining the operation and maintenance data to be processed according to the resource analysis customization requirement, the method further includes:
s91: determining an alarm position according to an alarm threshold, an alarm type and alarm content of the alarm log data;
s92: and sending the alarm position and the alarm content to operation and maintenance personnel according to the alarm type of the alarm log data.
According to the embodiment, the alarm position and the alarm content are quickly determined according to the alarm log data and are sent to the operation and maintenance personnel, and the speed of analyzing and positioning problems by the operation and maintenance personnel is increased.
For S91, the alarm threshold refers to a threshold for performing an alarm. For example, if the memory ratio in the alarm log data exceeds the actual value by an alarm threshold (the memory ratio is 85%), an alarm is triggered, which is not specifically limited in this example.
Alarm types include, but are not limited to: sending mail, sending short message, dialing network telephone.
The alarm content contains error information, which includes but is not limited to: the data format is incorrect, and the result obtained by inquiring is null. For example, the warning content is that the memory ratio exceeds the warning threshold 85%, which is not specifically limited in this example.
The alarm position refers to a position where an alarm is triggered, and the position may be a position in a code, a certain function module, or other positions.
For S92, when the alarm type is sending mail, combining the alarm position and the alarm content into mail, and then sending the mail to a designated mailbox; when the alarm type is sending short message, combining the alarm position and the alarm content into a short message, and sending the short message to a specified mobile phone number; and when the alarm type is the dialing of the network telephone, combining the alarm position and the alarm content into voice, dialing a specified mobile phone number and playing the voice.
Referring to fig. 2, the present application further provides an operation and maintenance resource management apparatus, including:
a requirement obtaining module 100, configured to obtain a resource analysis customization requirement;
the to-be-processed operation and maintenance data acquisition module 200 is used for acquiring the to-be-processed operation and maintenance data according to the resource analysis customization requirement;
the operation and maintenance data desensitization 300 is used for desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
the operation and maintenance data preprocessing module 400 is configured to preprocess the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
an operation and maintenance data labeling module 500, configured to label the preprocessed operation and maintenance data to obtain target operation and maintenance data, and store the target operation and maintenance data in a database;
and the statistical analysis module 600 is configured to perform statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
The operation and maintenance data to be processed are automatically obtained according to the resource analysis customization requirements, and are automatically processed, so that the operation and maintenance work is reduced, and the accuracy of the operation and maintenance result is improved; by means of desensitization processing of the operation and maintenance data to be processed, sensitive information is prevented from being leaked, and data safety is improved; by labeling the preprocessed operation and maintenance data, the dimensionality of the operation and maintenance data is increased, the operation and maintenance data can be combined and then subjected to statistical analysis, and the application value of the operation and maintenance data is improved.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer equipment is used for storing data such as operation and maintenance resource management methods and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an operation and maintenance resource management method. The operation and maintenance resource management method comprises the following steps: acquiring resource analysis customization requirements; acquiring operation and maintenance data to be processed according to the resource analysis customization requirements; desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data; preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data; marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database; and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
The operation and maintenance data to be processed are automatically obtained according to the resource analysis customization requirements, and are automatically processed, so that the operation and maintenance work is reduced, and the accuracy of the operation and maintenance result is improved; by means of desensitization processing of the operation and maintenance data to be processed, sensitive information is prevented from being leaked, and data safety is improved; by labeling the preprocessed operation and maintenance data, the dimensionality of the operation and maintenance data is increased, the operation and maintenance data can be combined and then subjected to statistical analysis, and the application value of the operation and maintenance data is improved.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements an operation and maintenance resource management method, including the steps of: acquiring resource analysis customization requirements; acquiring operation and maintenance data to be processed according to the resource analysis customization requirements; desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data; preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data; marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database; and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
According to the executed operation and maintenance resource management method, the operation and maintenance data to be processed are automatically obtained according to the resource analysis customization requirements, and are automatically processed, so that the operation and maintenance work is reduced, and the accuracy of the operation and maintenance result is improved; by means of desensitization processing of the operation and maintenance data to be processed, sensitive information is prevented from being leaked, and data safety is improved; by labeling the preprocessed operation and maintenance data, the dimensionality of the operation and maintenance data is increased, the operation and maintenance data can be combined and then subjected to statistical analysis, and the application value of the operation and maintenance data is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. An operation and maintenance resource management method, characterized in that the method comprises:
acquiring resource analysis customization requirements;
acquiring operation and maintenance data to be processed according to the resource analysis customization requirements;
desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
marking the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database;
and performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
2. The operation and maintenance resource management method according to claim 1, wherein the step of obtaining the operation and maintenance data to be processed according to the resource analysis customization requirement includes:
according to the application system data of the resource analysis customization demand, determining target application system data;
determining login account data of the target application system data according to the data acquisition permission data of the resource analysis customization requirement and the target application system data;
and acquiring the operation and maintenance data to be processed according to the login account data, the target application system data and the data acquisition configuration data of the resource analysis customization requirement.
3. The operation and maintenance resource management method according to claim 1, wherein the step of performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data comprises:
performing character recognition on the operation and maintenance data to be processed to obtain sensitive character data to be removed;
and inputting the character data to be desensitized into a desensitization model for sensitive information processing to obtain the desensitized operation and maintenance data, wherein the desensitization model is a model obtained based on neural network training.
4. The operation and maintenance resource management method according to claim 1, wherein the labeling the preprocessed operation and maintenance data to obtain target operation and maintenance data comprises:
sending the preprocessed operation and maintenance data to a data annotation end;
and acquiring an operation and maintenance data labeling result sent by the data labeling end, and taking the operation and maintenance data labeling result as the target operation and maintenance data.
5. The operation and maintenance resource management method according to claim 1, wherein the step of performing statistical analysis according to the resource analysis customization request and the target operation and maintenance data to obtain a target resource analysis result comprises:
acquiring a statistical analysis request, wherein the statistical analysis request carries a resource analysis index identifier;
responding to the statistical analysis request, acquiring a resource analysis index from the resource analysis customization demand according to the resource analysis index identification, and taking the acquired resource analysis index as a target resource analysis index;
and performing statistical analysis according to the target resource analysis index and the target operation and maintenance data to obtain a target resource analysis result, and storing the target resource analysis result to a block chain of a block chain system.
6. The operation and maintenance resource management method according to claim 1, wherein after the step of performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain target resource analysis results, the method further comprises:
storing the target resource analysis results in the database;
acquiring an analysis result export request, wherein the analysis result export request carries a resource analysis result identifier and an export address;
responding to the analysis result export request, and determining a resource analysis result to be exported from the target resource analysis result of the database according to a resource analysis result identifier carried by the analysis result export request;
exporting the resource analysis result to be exported to the export address.
7. The operation and maintenance resource management method according to claim 1, wherein before the step of desensitizing the operation and maintenance data to be processed to obtain desensitized operation and maintenance data, the method further comprises:
acquiring a data import request, wherein the data import request carries operation and maintenance data to be imported;
responding to the data import request, importing the operation and maintenance data to be imported into the database, and taking the imported operation and maintenance data to be imported as the operation and maintenance data to be processed.
8. An operation resource management apparatus, the apparatus comprising:
the demand acquisition module is used for acquiring resource analysis customization demands;
the to-be-processed operation and maintenance data acquisition module is used for acquiring the to-be-processed operation and maintenance data according to the resource analysis customization requirements;
desensitizing the operation and maintenance data, and performing desensitization processing on the operation and maintenance data to be processed to obtain desensitized operation and maintenance data;
the operation and maintenance data preprocessing module is used for preprocessing the desensitized operation and maintenance data to obtain preprocessed operation and maintenance data;
the operation and maintenance data labeling module is used for labeling the preprocessed operation and maintenance data to obtain target operation and maintenance data, and storing the target operation and maintenance data in a database;
and the statistical analysis module is used for performing statistical analysis according to the resource analysis customization requirements and the target operation and maintenance data to obtain a target resource analysis result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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