CN112069031A - Abnormal query method, device, equipment and computer readable storage medium - Google Patents
Abnormal query method, device, equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention relates to vulnerability repair efficiency optimization and provides an exception query method, device, equipment and medium. According to the invention, the conventional operation and maintenance operation in daily work is abstracted and semantically converted into the basic command library, so that when the current abnormal concrete condition is inquired, the corresponding operation and maintenance operation is selected according to the received abnormal monitoring alarm and directly and automatically executed, and the previous complicated operation is avoided; the obtained original return information is further processed to obtain a target return result capable of reflecting the actual running condition of the current abnormal position, so that the effectiveness of the return result is improved, and effective information can be obtained from the return result more easily; by using the target return result as the answer of the abnormal query instruction, the return result reflecting the abnormal actual condition can be directly obtained without carrying out various complicated operations in the prior art, so that the abnormal query efficiency is greatly improved. In addition, the invention also relates to a block chain technology, and the target return result can be stored in the block chain.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to an exception query method, apparatus, device, and computer-readable storage medium.
Background
During daily work, operation and maintenance personnel often receive dozens or even hundreds of monitoring alarms every day. In a traditional processing mode for monitoring alarms, operation and maintenance personnel often need to log in a host or each interface for operation. For example, after receiving the monitoring alarm, the operation and maintenance personnel logs in the host computer, executes a corresponding command and obtains a return result reflecting the program running condition related to the current abnormal condition or problem and other abnormal conditions, and the process usually needs to carry out multiple rounds of interactive operation; after logging in an interface of an operation system, operation and maintenance personnel need to perform corresponding clicking, screening and querying to obtain a current required target query result; in practical situations, operation and maintenance personnel often need to process a large number of monitoring and warning transactions on a plurality of different operation systems to eliminate the problem of failure resolution. All the situations reflect the problem that the efficiency of abnormal query performed by operation and maintenance personnel through the existing mode is low.
Disclosure of Invention
The invention mainly aims to provide an exception query method, device and equipment and a computer readable storage medium, and aims to solve the technical problem that operation and maintenance personnel have low efficiency in exception query in the existing mode.
In order to achieve the above object, the present invention provides an exception query method, which includes the following steps:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, determining a target command set from a preset basic command library based on the abnormal query instruction, wherein the basic command library is obtained by abstracting and semanticizing preset operation and maintenance operations;
executing the target operation represented by the target command set, and acquiring an original return result of the target operation;
and processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position, and responding to the abnormal query instruction by using the target return result.
Optionally, the processing the original returned result by using a preset language processing manner to obtain a target returned result reflecting an actual operation condition of a current abnormal position, and the step of using the target returned result to respond to the abnormal query instruction includes:
identifying entity information of the original returned result by using a preset entity identification model;
performing multilevel semantic analysis on the original returned result to obtain multilevel semantics of the original returned result;
and converting the original return result into a structured query of a knowledge graph to obtain a target return result based on the entity information and the multilevel semantics, and responding to the abnormal query instruction by using the target return result, wherein the target return result is stored in a block chain.
Optionally, before the step of determining the target command set from the preset basic command library based on the abnormal query instruction when the abnormal query instruction issued based on the preset abnormal monitoring alarm is received, the method further includes:
when an operation conversion instruction is received, acquiring operation and maintenance operation to be converted based on the operation conversion instruction, abstracting and semanticizing the operation and maintenance operation, and obtaining a plurality of basic operation commands consistent with the operation purpose of the operation and maintenance operation information;
arranging the basic operation commands by using a preset arranging tool, generating a plurality of workflows corresponding to the basic operation commands, and summarizing the basic operation commands and the workflows into the basic command library, wherein the workflows are used for connecting a plurality of related services of the basic operation commands.
Optionally, when an exception query instruction issued based on a preset exception monitoring alarm is received, the step of determining a target command set from a preset basic command library based on the exception query instruction includes:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
when a command selection instruction sent based on the command selection interface is received, obtaining a currently selected basic operation instruction and/or workflow from the command selection instruction, and taking the currently selected basic operation instruction and/or workflow as the target command set.
Optionally, the command selection interface comprises a priority display selection interface,
the step of generating and displaying a command selection interface including the plurality of basic operation commands and the plurality of workflows based on the target command set when receiving an abnormal query command issued based on a preset abnormal monitoring alarm comprises:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
selecting a target use frequency meeting a preset frequency selection condition from the use frequency record information, and adding a priority display mark to a target basic command and/or a target workflow corresponding to the target use frequency in the basic command library;
and generating a priority display selection interface which comprises the plurality of basic operation instructions and the plurality of workflows and preferentially displays the target basic command and/or the target workflow based on the target command set and the priority display marks.
Optionally, after the step of processing the original returned result by using a preset language processing manner to obtain a target returned result reflecting an actual operation condition of a current abnormal position, and using the target returned result to respond to the abnormal query instruction, the method further includes:
formulating a current abnormal solution based on the target return result, and storing the target command set and the target return result in a correlation manner;
judging whether the target return result is valid;
if the target return result is invalid, exporting the target return result judged to be invalid and the corresponding first target command set every other preset interval period so as to generate a command invalidity feedback report based on the target return result judged to be invalid and the first target command set.
Optionally, after the step of determining whether the target return result is valid, the method further includes:
if the target return result is valid, listing the target return result judged to be valid and a corresponding second target command set as successfully matched question-answer records so as to optimize the obtaining process of the target return result based on the successfully matched question-answer records, wherein the target return result comprises one or more of the following items: the execution result of the target operation, the error log, the real-time monitoring graph and the multi-dimensional analysis comparison graph.
In addition, to achieve the above object, the present invention provides an abnormality query apparatus, including:
the target command determining module is used for determining a target command set from a preset basic command library based on an abnormal query instruction when the abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, wherein the basic command library is obtained by abstracting and semanticizing a preset operation and maintenance operation;
an original result obtaining module, configured to execute the target operation represented by the target command set, and obtain an original return result of the target operation;
and the query instruction response module is used for processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position so as to respond to the abnormal query instruction by using the target return result.
Optionally, the query instruction response module:
the entity identification unit is used for identifying the entity information of the original returned result by using a preset entity identification model;
the semantic analysis unit is used for carrying out multi-level semantic analysis on the original returned result to obtain multi-level semantics of the original returned result;
and the map query unit is used for converting the original return result into a structured query of a knowledge map to obtain a target return result based on the entity information and the multi-level semantics, and responding to the abnormal query instruction by using the target return result, wherein the target return result is stored in a block chain.
Optionally, the exception querying device further includes:
the abstract semantization module is used for acquiring the operation and maintenance operation to be converted based on the operation conversion instruction when the operation conversion instruction is received, and abstracting and semantizing the operation and maintenance operation to obtain a plurality of basic operation commands consistent with the operation purpose of the operation and maintenance operation information;
the command arranging module is used for arranging the basic operation commands by using a preset arranging tool, generating a plurality of workflows corresponding to the basic operation commands, and summarizing the basic operation commands and the workflows into the basic command library, wherein the workflows are used for connecting a plurality of related services of the basic operation commands.
Optionally, the target command determining module includes:
the selection interface display unit is used for generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set when receiving an abnormal query instruction sent out based on a preset abnormal monitoring alarm;
and the target command selection unit is used for acquiring the currently selected basic operation instruction and/or workflow from the command selection instruction when receiving the command selection instruction sent based on the command selection interface so as to take the currently selected basic operation instruction and/or workflow as the target command set.
Optionally, the command selection interface comprises a priority display selection interface,
the selection interface display unit is further configured to:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
selecting a target use frequency meeting a preset frequency selection condition from the use frequency record information, and adding a priority display mark to a target basic command and/or a target workflow corresponding to the target use frequency in the basic command library;
and generating a priority display selection interface which comprises the plurality of basic operation instructions and the plurality of workflows and preferentially displays the target basic command and/or the target workflow based on the target command set and the priority display marks.
Optionally, the exception querying device further includes:
the association storage module is used for making a current abnormal solution based on the target return result and performing association storage on the target command set and the target return result;
the effective judgment module is used for judging whether the target return result is effective or not;
and the invalid feedback generation module is used for exporting the target return result judged to be invalid and the corresponding first target command set every other preset interval period if the target return result is invalid, so as to generate a command invalid feedback report based on the target return result judged to be invalid and the first target command set.
Optionally, the exception querying device further includes:
a successful record obtaining module, configured to, if the target return result is valid, list the target return result determined to be valid and a corresponding second target command set as successfully-matched question-answer records, so as to optimize a process of obtaining the target return result based on the successfully-matched question-answer records, where the target return result includes one or more of the following: the execution result of the target operation, the error log, the real-time monitoring graph and the multi-dimensional analysis comparison graph.
In addition, to achieve the above object, the present invention further provides an exception query apparatus, which includes a processor, a memory, and an exception query program stored on the memory and executable by the processor, wherein when the exception query program is executed by the processor, the steps of the exception query method as described above are implemented.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having an exception query program stored thereon, wherein the exception query program, when executed by a processor, implements the steps of the exception query method as described above.
The invention provides an exception query method, an exception query device, equipment and a computer readable storage medium, wherein the exception query method abstracts and semantically converts a plurality of conventional operation and maintenance operations in daily work into a basic command library, so that when the current abnormal specific conditions are queried, the corresponding operation and maintenance operations can be selected according to actual conditions and directly and automatically executed, the previous complicated operations are avoided, and the execution efficiency of the operation and maintenance operations is greatly improved; the obtained original return information is further processed to obtain a target return result capable of reflecting the actual running condition of the current abnormal position, so that the effectiveness of the return result is improved, and effective information can be obtained from the return result more easily; by using the target return result as the answer of the abnormal query instruction, namely, in a very simple question and answer mode in the whole process, the operation and maintenance personnel can directly obtain the return result reflecting the abnormal actual condition without the prior complicated operations of inputting various commands, executing scripts, switching systems and the like, so that the abnormal query efficiency of the operation and maintenance personnel is greatly improved, and the technical problem of low efficiency of the operation and maintenance personnel in abnormal query in the existing mode is solved.
Drawings
Fig. 1 is a schematic hardware structure diagram of an exception query device according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first exemplary embodiment of an exception query method according to the present invention;
FIG. 3 is a functional block diagram of an exception query apparatus according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The abnormal inquiry method related to the embodiment of the invention is mainly applied to abnormal inquiry equipment, and the abnormal inquiry equipment can be equipment with display and processing functions, such as a PC (personal computer), a portable computer, a mobile terminal and the like.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of an exception query device according to an embodiment of the present invention. In this embodiment of the present invention, the exception query device may include a processor 1001 (e.g., a CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for realizing connection communication among the components; the user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface); the memory 1005 may be a high-speed RAM memory, or may be a non-volatile memory (e.g., a magnetic disk memory), and optionally, the memory 1005 may be a storage device independent of the processor 1001.
Those skilled in the art will appreciate that the hardware configuration shown in FIG. 1 does not constitute a limitation of the exception query apparatus, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
With continued reference to FIG. 1, the memory 1005 of FIG. 1, which is one type of computer-readable storage medium, may include an operating system, a network communication module, and an exception query program.
In fig. 1, the network communication module is mainly used for connecting to a server and performing data communication with the server; the processor 1001 may call the exception query program stored in the memory 1005 and execute the exception query method provided by the embodiment of the present invention.
Based on the hardware structure, the invention provides various embodiments of the exception query method.
During daily work, operation and maintenance personnel often receive dozens or even hundreds of monitoring alarms every day. In a traditional processing mode for monitoring alarms, operation and maintenance personnel often need to log in a host or each interface for operation. For example, after receiving the monitoring alarm, the operation and maintenance personnel logs in the host computer, executes a corresponding command and obtains a return result reflecting the program running condition related to the current abnormal condition or problem and other abnormal conditions, and the process usually needs to carry out multiple rounds of interactive operation; after logging in an interface of an operation system, operation and maintenance personnel need to perform corresponding clicking, screening and querying to obtain a current required target query result; in practical situations, operation and maintenance personnel often need to process a large number of monitoring and warning transactions on a plurality of different operation systems to eliminate the problem of failure resolution. All the situations reflect the problem that the efficiency of abnormal query performed by operation and maintenance personnel through the existing mode is low.
In order to solve the problems, the invention provides an exception query method, namely, a plurality of conventional operation and maintenance operations in daily work are abstracted and semantically converted into a basic command library, so that when the current abnormal concrete condition is queried, the corresponding operation and maintenance operation can be selected according to the actual condition and directly and automatically executed, the previous complicated operation is avoided, and the execution efficiency of the operation and maintenance operation is greatly improved; the obtained original return information is further processed to obtain a target return result capable of reflecting the actual running condition of the current abnormal position, so that the effectiveness of the return result is improved, and effective information can be obtained from the return result more easily; by using the target return result as the answer of the abnormal query instruction, namely, in a very simple question and answer mode in the whole process, the operation and maintenance personnel can directly obtain the return result reflecting the abnormal actual condition without the prior complicated operations of inputting various commands, executing scripts, switching systems and the like, so that the abnormal query efficiency of the operation and maintenance personnel is greatly improved, and the technical problem of low efficiency of the operation and maintenance personnel in abnormal query in the existing mode is solved.
Referring to fig. 2, fig. 2 is a flowchart illustrating an exception query method according to a first embodiment of the present invention.
A first embodiment of the present invention provides an exception query method, including the steps of:
step S10, when receiving an abnormal query instruction sent out based on a preset abnormal monitoring alarm, determining a target command set from a preset basic command library based on the abnormal query instruction, wherein the basic command library is obtained by abstracting and semanticizing a preset operation and maintenance operation;
in the present embodiment, the present invention is applied to an exception query system (hereinafter, referred to as a system). The preset abnormity monitoring alarm is error warning information which is received by operation and maintenance personnel currently and reflects abnormity such as problems or fault conditions of products operated and maintained currently. The abnormal query instruction is an instruction which is sent on the system based on the currently received abnormal monitoring alarm and is used for querying the specific condition and the generation reason of the abnormality, and the instruction 1 can be triggered by related personnel in the system, or can be automatically sent to the system through the abnormal monitoring alarm, and is automatically initiated after the system performs semantic analysis on the abnormal monitoring alarm. The preset basic command library is an instruction summary library which is obtained by converting daily operation and maintenance operations into instructions capable of being understood and executed by a machine through abstraction and semantization in advance. The target command set is a command selected in the basic command library according to the actual content of the abnormal monitoring alarm at present. The target command set may contain one command or a plurality of commands. It should be noted that the exception query system is established based on a workflow. Workflow is a type of business process that can be executed completely automatically, and documents, information, or tasks are transferred and executed among different executives according to a series of process rules. Specifically, the system is divided into a front end and a back end. After the related personnel initiate the abnormal query instruction on the system at present, the front end of the system can be set and displayed as a simplified question-answering interface similar to a chat window, and a command set selection box and a search box can be set in the question-answering interface. The relevant person may click the command set selection box by mouse or enter the command set name in the search box by keyboard. The system may determine the target command set based on the current selection.
Step S20, executing the target operation represented by the target command set, and acquiring the original return result of the target operation;
and step S30, processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position, and responding the abnormal query instruction by using the target return result.
In this embodiment, the target operation is an operation required to be executed in the daily operation and maintenance process, such as restarting an application, restarting a host, executing a script, modifying a configuration, and the like. The original returned result is usually the original result obtained after the target operation is performed, such as the original configuration information, the original service index, and the like.
The preset language processing mode can be a natural language processing technology, a knowledge graph query technology and the like. The system carries out word segmentation, lexical analysis, classification and other processing on the obtained original return result through a natural language processing technology, and obtains a target return result which can more directly reflect the reason of the abnormality occurrence through the original return result. The target return result can be specifically an error log, a real-time system and service index real-time monitoring graph, a trend monitoring graph, a multi-dimensional analysis contrast graph and the like. Specifically, the system acquires a target return result of the target instruction set according to natural language processing and the knowledge graph, and if the question and answer result of the target instruction set required by the user is successfully matched, the target return result can contain a correct execution result; if the matching fails, the target return result may include an error log. The system displays the target return results on the front-end interface as return results of the current abnormal query operation of the operation and maintenance personnel. Then, the operation and maintenance personnel can find the current abnormal source according to the error log of the target instruction set, and work out a corresponding solution so as to efficiently remove the fault and quickly return to the normal service processing.
It should be noted that people in various roles can register accounts on the intelligent question-answering operation auxiliary system. The account management module in the system can allocate corresponding authority to different role personnel. Each role personnel can request authorization from operation and maintenance personnel when actually needed, and a target command set can be directly selected and initiated on the system after authorization, so that project teams can cooperatively process problems, faults are rapidly eliminated, and the problem processing efficiency is greatly improved. For example, a development engineer may request the operation and maintenance engineer for the permission of a command set related to the production environment on the system, and may directly obtain the running condition of the program and make a quick decision to make a solution after knowing the specific fault generation cause. In addition, the system also supports the user to initiate multiple rounds of question-answering conversations, so that the processing efficiency is further improved, and the user experience is also improved.
In this embodiment, when an abnormal query instruction issued based on a preset abnormal monitoring alarm is received, a target command set is determined from a preset basic command library based on the abnormal query instruction, wherein the basic command library is obtained by abstracting and semanticizing a preset operation and maintenance operation; executing the target operation represented by the target command set, and acquiring an original return result of the target operation; and processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position, and responding to the abnormal query instruction by using the target return result. Through the mode, a plurality of conventional operation and maintenance operations in daily work are abstracted and semantically converted into the basic command library, so that when the current abnormal concrete condition is inquired, the corresponding operation and maintenance operation can be selected according to the actual condition and directly and automatically executed, the previous complicated operation is avoided, and the execution efficiency of the operation and maintenance operation is greatly improved; the obtained original return information is further processed to obtain a target return result capable of reflecting the actual running condition of the current abnormal position, so that the effectiveness of the return result is improved, and effective information can be obtained from the return result more easily; by using the target return result as the answer of the abnormal query instruction, namely, in a very simple question and answer mode in the whole process, the operation and maintenance personnel can directly obtain the return result reflecting the abnormal actual condition without the prior complicated operations of inputting various commands, executing scripts, switching systems and the like, so that the abnormal query efficiency of the operation and maintenance personnel is greatly improved, and the technical problem of low efficiency of the operation and maintenance personnel in abnormal query in the existing mode is solved.
Further, based on the first embodiment shown in fig. 2, a second embodiment of the exception query method of the present invention is provided. In this embodiment, step S30 includes:
identifying entity information of the original returned result by using a preset entity identification model;
performing multilevel semantic analysis on the original returned result to obtain multilevel semantics of the original returned result;
and converting the original return result into a structured query of a knowledge graph to obtain a target return result based on the entity information and the multilevel semantics, and responding to the abnormal query instruction by using the target return result, wherein the target return result is stored in a block chain.
In this embodiment, when a plurality of commands are included in the target command set, multiple return results may be obtained for the corresponding commands. The system can integrate and optimize multiple original return results to obtain a target return result. The system firstly carries out multi-level semantic analysis on the first target problem. The multi-level semantic parsing may include entity level semantic parsing, phrase level semantic parsing, and problem level semantic parsing. The system can use a preset semantic search model, and entity semantic understanding based on the knowledge graph is used for calculating and acquiring entity layer semantic information for upper layer semantics; a verb template is mainly used for carrying out fine-grained semantic representation, and context information is comprehensively used for conceptualizing an entity to obtain phrase layer semantic information; and mapping the entity in the original returned result to the concept based on a representation method of the problem template, and further representing the semantic of the original returned result to acquire the semantic information of the problem layer. The system then uses a preset probability graph model to comprehensively use the semantic analysis result of the problem and predicts the attribute type of the original returned result corresponding to the knowledge graph through the obtained problem template. And finally, the system converts the first target problem into the structured query of the knowledge graph according to the obtained attribute type and the information such as the entity and the like in the original returned result identified by the model, and returns the optimized result of the original returned result to the user side. For example, after the system executes the target operation corresponding to the multiple commands in the target command set, the actual values of a certain index at different times are obtained. The system can optimize and integrate the multiple original return results, and can integrate and express the multiple original return results into forms of a trend monitoring graph or an analysis comparison graph and the like by performing multilevel semantic recognition and knowledge graph query on the multiple original return results so as to more intuitively reflect the actual execution condition of the index.
It is emphasized that, to further ensure the privacy and security of the target return result, the target return result may also be stored in a node of a blockchain.
Further, in this embodiment, before step S10, the method further includes:
when an operation conversion instruction is received, acquiring operation and maintenance operation to be converted based on the operation conversion instruction, abstracting and semanticizing the operation and maintenance operation, and obtaining a plurality of basic operation commands consistent with the operation purpose of the operation and maintenance operation information;
arranging the basic operation commands by using a preset arranging tool, generating a plurality of workflows corresponding to the basic operation commands, and summarizing the basic operation commands and the workflows into the basic command library, wherein the workflows are used for connecting a plurality of related services of the basic operation commands.
In this embodiment, the operation conversion instruction is an instruction that can select which operation and maintenance operation is to be converted into the basic operation command. The preset arranging tool may be specifically an anchor, zeebe (workflow engines which are all micro-service arranged), and the like. It can be understood that before the intelligent question-answering operation auxiliary system is established, daily operation and maintenance operations need to be converted into instructions which can be understood and executed by a machine. Specifically, in daily work, the senior operation and maintenance personnel abstract and semantically convert each action of the operation and maintenance operation into a basic operation instruction, such as restarting an application, restarting a host, executing a script, modifying a configuration, and the like. The operation and maintenance personnel can establish the basic operation instructions into one or more workflows through the arrangement tool, and the workflows can be combined freely to form a new workflow. The basic operation instructions and the workflow are abstract and semantic models established by the senior operation and maintenance personnel. The terminal collects the basic operation instructions and the workflow into a basic command library to be loaded into the system.
Further, in the present embodiment, step S10 includes:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
when a command selection instruction sent based on the command selection interface is received, obtaining a currently selected basic operation instruction and/or workflow from the command selection instruction, and taking the currently selected basic operation instruction and/or workflow as the target command set.
In this embodiment, when receiving the abnormal query instruction, the system front end displays a simplified question-and-answer interface (i.e., the above command selection interface) similar to the chat window, and the question-and-answer interface may be provided with a command set selection box and a search box. The relevant person may click the command set selection box by mouse or enter the name of the command set (underlying operating instructions and/or workflow) in the search box by keyboard. The selection operation and the input operation of the related personnel in the system can be regarded as that the related personnel sends a command selection instruction to the system. The system may determine the target command set based on this current command set selection instruction. Specifically, after receiving the monitoring alarm, the operation and maintenance personnel can select a currently required target command set in a selection box of a front-end page on the system according to the alarm information. The command set search box may be configured to automatically display the associated command set name based on the operator input name for quick querying by the operator.
Further, in this embodiment, the command selection interface includes a priority display selection interface,
the step of generating and displaying a command selection interface including the plurality of basic operation commands and the plurality of workflows based on the target command set when receiving an abnormal query command issued based on a preset abnormal monitoring alarm comprises:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
selecting a target use frequency meeting a preset frequency selection condition from the use frequency record information, and adding a priority display mark to a target basic command and/or a target workflow corresponding to the target use frequency in the basic command library;
and generating a priority display selection interface which comprises the plurality of basic operation instructions and the plurality of workflows and preferentially displays the target basic command and/or the target workflow based on the target command set and the priority display marks.
In this embodiment, the usage frequency record information is summary information in which each basic operation command and the selected execution times of each workflow are recorded. The condition that the preset frequency selection is met can be set that the use frequency of the basic operation command and/or the workflow exceeds a preset frequency threshold value, or the preset number of bits before the ranking is selected according to the use frequency from large to small. Specifically, after receiving the monitoring alarm, the operation and maintenance personnel can select the currently required target command set in the selection box of the front-end page according to the alarm information on the system, and the command set selection box can be set as a command set pull-down selection box for providing the use frequency TOP 20.
Furthermore, multi-level semantic mining is further carried out on the original returned result by adopting a knowledge graph technology, and the original returned result is converted into a target returned result which can more directly reflect the current abnormal condition, so that the intelligence of the processing process is improved; by converting conventional operation and maintenance operations into basic operation commands in advance and arranging the basic operation commands into workflows by using an arranging tool, a user can directly select the operation and maintenance operations to be executed currently without complicated operations, and the system can directly execute the operation selected by the user, so that the execution efficiency of the operation and maintenance operations under abnormal query conditions is greatly improved; the command selection interface is directly displayed to the user when the user performs abnormal query, and the corresponding basic operation command and the corresponding workflow are preferably displayed, so that the convenience of the command selection process is improved.
Further, based on the first embodiment shown in fig. 2, a third embodiment of the exception query method of the present invention is provided. In this embodiment, after step S30, the method further includes:
formulating a current abnormal solution based on the target return result, and storing the target command set and the target return result in a correlation manner;
judging whether the target return result is valid;
if the target return result is invalid, exporting the target return result judged to be invalid and the corresponding first target command set every other preset interval period so as to generate a command invalidity feedback report based on the target return result judged to be invalid and the first target command set.
In this embodiment, the first set of target commands is the set of target commands corresponding to the invalid target return result. The system can automatically extract effective information for solving the current abnormity from the target return result, and a solution for the current abnormity is generated through the effective information, and related personnel can make a quick decision according to the target return result and make a processing scheme for eliminating faults or solving problems after the target return result is provided for the related personnel. The system can cache the acquired return information into the memory database so as to improve the subsequent access speed to the same basic operation command or workflow. After the target return result of the target command set is stored, the system matches the target return result with preset standard information or receives whether the information subsequently returned by related personnel is valid or not. And if the target return result is matched with the standard information or the target return result is effectively fed back by related personnel subsequently, the system judges that the target return result is effective. If the target return result is not matched with the target return result, or the feedback of the target return result is considered to be invalid by correlation, the target return result is judged to be invalid. The system periodically derives the invalid target return information and the corresponding target command set according to the preset interval duration, generates a feedback report and prompt information, and reminds operation and maintenance personnel to perfect the feedback report and the prompt information so as to form closed-loop management.
Further, in this embodiment, after the step of determining whether the target return result is valid, the method further includes:
if the target return result is valid, listing the target return result judged to be valid and a corresponding second target command set as successfully matched question-answer records so as to optimize the obtaining process of the target return result based on the successfully matched question-answer records, wherein the target return result comprises one or more of the following items: the execution result of the target operation, the error log, the real-time monitoring graph and the multi-dimensional analysis comparison graph.
In this embodiment, the second set of target commands is the set of target commands corresponding to valid target return results. The system collects the returned result of each pair of successful matching targets and the second target command set to generate a successful matching question-answer record, and the operation can improve the subsequent access speed to the same basic operation command or workflow so as to optimize the determination process of the target command set. The execution result of the target operation may include a successful execution result and an erroneous execution result; the error log is related log information returned when the target operation fails to be executed; the real-time monitoring graph is a graph reflecting the operation condition of a certain aspect in the program operation process within a period of continuous time; the multi-dimensional analysis contrast graph is a chart displayed from different dimensions for a plurality of parameters or indexes.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. 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 service layer, an application service layer, and the like.
Furthermore, invalid target return information and a corresponding target command set are exported regularly, and a feedback report and prompt information are generated to remind operation and maintenance personnel to perfect the invalid target return information and the corresponding target command set so as to form closed-loop management; by summarizing the successfully paired question-answer records, successful cases in the operation and maintenance processing working process can be accumulated and precipitated, so that the dispersion and loss of experience are avoided, and the operation and maintenance processing efficiency is further improved.
In addition, as shown in fig. 3, to achieve the above object, the present invention further provides an abnormality query apparatus, including:
the target command determining module 10 is configured to determine a target command set from a preset basic command library based on an abnormal query instruction when the abnormal query instruction issued based on a preset abnormal monitoring alarm is received, where the basic command library is obtained by abstracting and semantically performing preset operation and maintenance operations;
an original result obtaining module 20, configured to execute the target operation represented by the target command set, and obtain an original return result of the target operation;
and the query instruction response module 30 is configured to process the original returned result by using a preset language processing manner to obtain a target returned result reflecting an actual operation condition of a current position where the abnormality is located, so as to respond to the abnormal query instruction by using the target returned result.
Optionally, the query response module 30:
the entity identification unit is used for identifying the entity information of the original returned result by using a preset entity identification model;
the semantic analysis unit is used for carrying out multi-level semantic analysis on the original returned result to obtain multi-level semantics of the original returned result;
and the map query unit is used for converting the original return result into a structured query of a knowledge map to obtain a target return result based on the entity information and the multi-level semantics, and responding to the abnormal query instruction by using the target return result, wherein the target return result is stored in a block chain.
Optionally, the exception querying device further includes:
the abstract semantization module is used for acquiring the operation and maintenance operation to be converted based on the operation conversion instruction when the operation conversion instruction is received, and abstracting and semantizing the operation and maintenance operation to obtain a plurality of basic operation commands consistent with the operation purpose of the operation and maintenance operation information;
the command arranging module is used for arranging the basic operation commands by using a preset arranging tool, generating a plurality of workflows corresponding to the basic operation commands, and summarizing the basic operation commands and the workflows into the basic command library, wherein the workflows are used for connecting a plurality of related services of the basic operation commands.
Optionally, the target command determining module 10 includes:
the selection interface display unit is used for generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set when receiving an abnormal query instruction sent out based on a preset abnormal monitoring alarm;
and the target command selection unit is used for acquiring the currently selected basic operation instruction and/or workflow from the command selection instruction when receiving the command selection instruction sent based on the command selection interface so as to take the currently selected basic operation instruction and/or workflow as the target command set.
Optionally, the command selection interface comprises a priority display selection interface,
the selection interface display unit is further configured to:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
selecting a target use frequency meeting a preset frequency selection condition from the use frequency record information, and adding a priority display mark to a target basic command and/or a target workflow corresponding to the target use frequency in the basic command library;
and generating a priority display selection interface which comprises the plurality of basic operation instructions and the plurality of workflows and preferentially displays the target basic command and/or the target workflow based on the target command set and the priority display marks.
Optionally, the exception querying device further includes:
the association storage module is used for making a current abnormal solution based on the target return result and performing association storage on the target command set and the target return result;
the effective judgment module is used for judging whether the target return result is effective or not;
and the invalid feedback generation module is used for exporting the target return result judged to be invalid and the corresponding first target command set every other preset interval period if the target return result is invalid, so as to generate a command invalid feedback report based on the target return result judged to be invalid and the first target command set.
Optionally, the exception querying device further includes:
a successful record obtaining module, configured to, if the target return result is valid, list the target return result determined to be valid and a corresponding second target command set as successfully-matched question-answer records, so as to optimize a process of obtaining the target return result based on the successfully-matched question-answer records, where the target return result includes one or more of the following: the execution result of the target operation, the error log, the real-time monitoring graph and the multi-dimensional analysis comparison graph.
The invention also provides an abnormal inquiry device.
The exception query device comprises a processor, a memory and an exception query program which is stored on the memory and can run on the processor, wherein when the exception query program is executed by the processor, the steps of the exception query method are realized.
The method implemented when the exception query program is executed may refer to each embodiment of the exception query method of the present invention, and details thereof are not repeated herein.
In addition, the embodiment of the invention also provides a computer readable storage medium.
The computer readable storage medium of the present invention stores an exception query program, wherein the exception query program, when executed by a processor, implements the steps of the exception query method as described above.
The method implemented when the exception query program is executed may refer to various embodiments of the exception query method of the present invention, and will not be described herein again.
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, method, article, or system 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, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An exception query method, comprising the steps of:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, determining a target command set from a preset basic command library based on the abnormal query instruction, wherein the basic command library is obtained by abstracting and semanticizing preset operation and maintenance operations;
executing the target operation represented by the target command set, and acquiring an original return result of the target operation;
and processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position, and responding to the abnormal query instruction by using the target return result.
2. The method for querying for an exception as claimed in claim 1, wherein said step of processing said original returned result by using a predetermined language processing manner to obtain a target returned result reflecting an actual operation condition of a current location of the exception, and using said target returned result to respond to said exception query instruction comprises:
identifying entity information of the original returned result by using a preset entity identification model;
performing multilevel semantic analysis on the original returned result to obtain multilevel semantics of the original returned result;
and converting the original return result into a structured query of a knowledge graph to obtain a target return result based on the entity information and the multilevel semantics, and responding to the abnormal query instruction by using the target return result, wherein the target return result is stored in a block chain.
3. The exception query method according to claim 1, wherein before the step of determining the target command set from the preset basic command library based on the exception query command when receiving the exception query command issued based on the preset exception monitoring alarm, the method further comprises:
when an operation conversion instruction is received, acquiring operation and maintenance operation to be converted based on the operation conversion instruction, abstracting and semanticizing the operation and maintenance operation, and obtaining a plurality of basic operation commands consistent with the operation purpose of the operation and maintenance operation information;
arranging the basic operation commands by using a preset arranging tool, generating a plurality of workflows corresponding to the basic operation commands, and summarizing the basic operation commands and the workflows into the basic command library, wherein the workflows are used for connecting a plurality of related services of the basic operation commands.
4. The exception query method according to claim 3, wherein the step of determining the target command set from the preset basic command library based on the exception query command when receiving the exception query command issued based on the preset exception monitoring alarm comprises:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
when a command selection instruction sent based on the command selection interface is received, obtaining a currently selected basic operation instruction and/or workflow from the command selection instruction, and taking the currently selected basic operation instruction and/or workflow as the target command set.
5. The exception query method of claim 4, wherein said command selection interface comprises a priority display selection interface,
the step of generating and displaying a command selection interface including the plurality of basic operation commands and the plurality of workflows based on the target command set when receiving an abnormal query command issued based on a preset abnormal monitoring alarm comprises:
when an abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, generating and displaying a command selection interface containing the plurality of basic operation instructions and the plurality of workflows based on the target command set;
selecting a target use frequency meeting a preset frequency selection condition from the use frequency record information, and adding a priority display mark to a target basic command and/or a target workflow corresponding to the target use frequency in the basic command library;
and generating a priority display selection interface which comprises the plurality of basic operation instructions and the plurality of workflows and preferentially displays the target basic command and/or the target workflow based on the target command set and the priority display marks.
6. The method for querying for an exception according to any one of claims 1 to 5, wherein, after the step of processing the original returned result by using a preset language processing manner to obtain a target returned result reflecting an actual operating condition of a current location where the exception is located, and using the target returned result to respond to the exception query instruction, the method further comprises:
formulating a current abnormal solution based on the target return result, and storing the target command set and the target return result in a correlation manner;
judging whether the target return result is valid;
if the target return result is invalid, exporting the target return result judged to be invalid and the corresponding first target command set every other preset interval period so as to generate a command invalidity feedback report based on the target return result judged to be invalid and the first target command set.
7. The exception query method of claim 6, wherein said step of determining whether said target return result is valid further comprises:
if the target return result is valid, listing the target return result judged to be valid and a corresponding second target command set as successfully matched question-answer records so as to optimize the obtaining process of the target return result based on the successfully matched question-answer records, wherein the target return result comprises one or more of the following items: the execution result of the target operation, the error log, the real-time monitoring graph and the multi-dimensional analysis comparison graph.
8. An exception query apparatus, comprising:
the target command determining module is used for determining a target command set from a preset basic command library based on an abnormal query instruction when the abnormal query instruction sent out based on a preset abnormal monitoring alarm is received, wherein the basic command library is obtained by abstracting and semanticizing a preset operation and maintenance operation;
an original result obtaining module, configured to execute the target operation represented by the target command set, and obtain an original return result of the target operation;
and the query instruction response module is used for processing the original return result by using a preset language processing mode to obtain a target return result reflecting the actual running condition of the current abnormal position so as to respond to the abnormal query instruction by using the target return result.
9. An exception query device, comprising a processor, a memory, and an exception query program stored on the memory and executable by the processor, wherein the exception query program, when executed by the processor, implements the steps of the exception query method of any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon an exception query program, wherein the exception query program, when executed by a processor, performs the steps of the exception query method of any one of claims 1 to 7.
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