CN114818683A - Operation and maintenance method and device based on mobile terminal - Google Patents

Operation and maintenance method and device based on mobile terminal Download PDF

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CN114818683A
CN114818683A CN202210754753.6A CN202210754753A CN114818683A CN 114818683 A CN114818683 A CN 114818683A CN 202210754753 A CN202210754753 A CN 202210754753A CN 114818683 A CN114818683 A CN 114818683A
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肖世湘
李鑫豪
李峰宇
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Beijing Baolande Software Co ltd
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Abstract

The invention provides an operation and maintenance method and device based on a mobile terminal, which comprises the following steps: acquiring user input information through a mobile terminal; inputting the user input information into a pre-trained intention recognition model to obtain a target task name; executing a corresponding operation and maintenance task based on the target task name; wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples. The invention provides a method framework for intelligently identifying and executing operation and maintenance tasks by combining a mobile terminal operation and maintenance robot and an intention identification model, so that the convenience and the intellectualization of the operation and maintenance process are improved, and the user experience is greatly improved.

Description

Operation and maintenance method and device based on mobile terminal
Technical Field
The invention relates to the technical field of internet, in particular to an operation and maintenance method and device based on a mobile terminal.
Background
For operation and maintenance personnel of the IT department of each company, any unexpected shutdown or crash of the server can cause information data loss and job stop, thereby bringing about great economic income loss for enterprise development. The initial operation and maintenance mode is to manually execute a large number of repeated inspection tasks every day to ensure normal operation of machine room services and software systems, so that the working efficiency is low, and workers are prone to making mistakes under heavy working pressure. Currently, most enterprises are beginning to transition to automated operation and maintenance. The automated operation and maintenance means that daily task processing and operation and maintenance flow automation of IT infrastructure and business application is realized through an operation and maintenance tool or platform, so that efficiency is improved, risks are reduced, and maturity of operation and maintenance organizations and upgrading of various capabilities are promoted.
At present, most of the essence of automatically executing inspection tasks is still an operation and maintenance mode combining people and automatic tools, is limited by the physiological limit and the cognition limit of the people, and cannot continuously provide high-quality services for large-scale and high-complexity systems.
Disclosure of Invention
The invention aims to provide an operation and maintenance method, an operation and maintenance device, electronic equipment and a storage medium based on a mobile terminal, which are used for solving the problem that the existing server operation and maintenance technology cannot continuously provide high-quality service for a large-scale and high-complexity system.
The invention provides an operation and maintenance method based on a mobile terminal, which comprises the following steps:
acquiring user input information through a mobile terminal;
inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
The invention provides an operation and maintenance method based on a mobile terminal, wherein the Attention mechanism is as follows:
Figure 849846DEST_PATH_IMAGE001
wherein, Query is a hidden layer output vector of the network; source is the set of key-value pairs; keyi is the product of the expression vector of each word of the statement and the initial given weight Wq, and Wq is a random assignment matrix; similarity is Similarity calculation; valuei is the product of the vector and the random assignment matrix Wv.
The invention provides an operation and maintenance method based on a mobile terminal, which is used for training a BERT-wwm version model and specifically comprises the following steps:
and increasing iteration times and model complexity in a training process, and enabling the intention recognition model to be overfitting to a certain extent.
The invention provides an operation and maintenance method based on a mobile terminal.
The invention provides an operation and maintenance method based on a mobile terminal, which executes a corresponding operation and maintenance task based on a target task name, and specifically comprises the following steps:
acquiring target task information based on the target task name;
and calling a corresponding tool based on the target task information to execute a corresponding operation and maintenance task.
The invention provides an operation and maintenance method based on a mobile terminal, which further comprises the following steps after executing a corresponding operation and maintenance task based on a target task name:
and recording an execution log of the operation and maintenance task.
The invention also provides an operation and maintenance device based on the mobile terminal, which comprises:
the information acquisition module is used for acquiring user input information;
the target task obtaining module is used for inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
the target task execution module is used for executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements any one of the steps of the mobile terminal-based operation and maintenance method when executing the program.
The present invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of any one of the mobile terminal-based operation and maintenance methods.
The invention provides an operation and maintenance method and device based on a mobile terminal, wherein user input information is acquired through the mobile terminal; inputting the user input information into a pre-trained intention recognition model to obtain a target task name; executing a corresponding operation and maintenance task based on the target task name; wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples. The invention combines the mobile terminal operation and maintenance robot and the intention identification model, provides a method framework for intelligently identifying and executing the operation and maintenance task, improves the convenience and the intellectualization of the operation and maintenance process, and greatly improves the user experience.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a mobile-end-based operation and maintenance method provided by the present invention;
FIG. 2 is a schematic view of a query process of an intent recognition model;
FIG. 3 is a schematic structural diagram of a mobile-end-based operation and maintenance device according to the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The operation and maintenance method, apparatus, electronic device and storage medium based on mobile terminal according to the present invention are described with reference to fig. 1 to 4.
Fig. 1 is a flowchart of an operation and maintenance method based on a mobile terminal, as shown in fig. 1, the operation and maintenance method based on a mobile terminal includes:
step 110, acquiring user input information through a mobile terminal;
in this embodiment, the mobile terminal refers to a smart mobile device, including but not limited to a smart phone, a tablet computer, and other smart mobile devices capable of installing an APP. The user input information not only comprises an instruction for acquiring the server operation information to know the operation state of the machine room hardware and software system at any time and any place, but also comprises an instruction for executing a corresponding operation and maintenance task, so that various problems encountered in an operation and maintenance site can be effectively processed.
In this embodiment, the mobile terminal APP robot in the operation and maintenance system collects instruction information input by the operation and maintenance personnel in a chat mode with the user and the operation and maintenance personnel, so as to acquire server operation state information or handle various problems of the server operation and maintenance site. Chat includes, among other things, speech and typing.
Further, the specific chat mode includes: a user inputs a task instruction to be executed by using a chat page of the mobile terminal APP robot, and can directly click the task instruction in the quick operation entrance at the bottom of the chat page. When the user inputs the content in the input box, the operation and maintenance system searches for the similar text prompt above the input box according to the content, and if the content the user wants is in the input box, the operation and maintenance system can click and display the similar text prompt in the input box so as to improve the operation efficiency. The searched text is stored in an elastic search applied to full-text retrieval, the elastic search searches a matched content set in a text library according to the content input by a user, scores each piece of data in the set, then performs reverse sequencing according to the score, and finally filters the result according to a preset threshold score and returns the result to the user.
Step 120, inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
in the embodiment, the intention recognition model is an AI model obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples; the BERT-wwm (wheel Word masking) version is an upgrade version of BERT issued by Google, and mainly changes a training sample generation strategy in an original pre-training stage.
In this embodiment, the intention recognition model in the operation and maintenance system recognizes entity keywords in the chat content based on the AI algorithm capability, and then recognizes the intention of the opposite party, i.e., the operation and maintenance personnel, in combination with word slot management, to obtain the target task name.
Further, after the chat text acquired by the mobile terminal APP robot is identified by the intention identification model, if the chat text meets the set threshold, the model answer sentence is directly given. If the threshold is not met, e.g. the user has entered a random string of characters "asdfgh" at will, the default answer set by the fallback policy of the ras framework is given, e.g. "i do not yet understand your meaning, please say it".
Further, fig. 2 is a schematic diagram of a question-following process of the intention identification model, as shown in fig. 2, taking a tour-inspection task as an example, when the intention identification model finds that context information for identifying the intention of the user is still absent, a result of a type of question-following will be returned to the client, some friendly prompts will be given to the user in the question-following process, the user is guided to quickly and effectively supplement information, so as to quickly identify the intention of the user, and the name of the target task is obtained.
Step 130, executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
In this embodiment, the operation and maintenance system executes and completes the corresponding operation and maintenance task based on the task information included in the target task name.
The invention provides an operation and maintenance method based on a mobile terminal, which comprises the steps of obtaining user input information through the mobile terminal; inputting the user input information into a pre-trained intention recognition model to obtain a target task name; based on the target task name, executing a corresponding operation and maintenance task, and combining the mobile terminal operation and maintenance robot and the intention identification model to obtain a method framework for intelligently identifying and executing the operation and maintenance task, so that the convenience and the intellectualization of the operation and maintenance process are improved, and the user experience is greatly improved.
Based on any of the above embodiments, in this embodiment, the present invention provides an operation and maintenance method based on a mobile terminal, where the Attention mechanism is:
Figure 10700DEST_PATH_IMAGE001
wherein, Query is a hidden layer output vector of the network; source is the set of key-value pairs; keyi is the product of the expression vector of each word of the statement and the initial given weight Wq, and Wq is a random assignment matrix; similarity is calculated; valuei is the product of the vector and the random assignment matrix Wv.
In this embodiment, the design of training samples in the intention recognition model is performed based on an Attention mechanism, the word slots included in the sentences of the user input information need to be weighted down, and the weights of the keywords in the sentences need to be weighted up, and the Attention mechanism can be abstracted as the following formula:
Figure 278870DEST_PATH_IMAGE001
in the natural language processing field NLP, in the above formula
Figure 729486DEST_PATH_IMAGE002
In (1)
Figure 690489DEST_PATH_IMAGE003
The term can be understood as a word in a sentence, Query is a hidden layer output vector of a network, and similarity calculation is performed on all words in a word, and the common calculation mode is as follows:
Figure 338639DEST_PATH_IMAGE004
wherein W is a random matrix; tan h is a hyperbolic tangent function; v is a random weight value; dot is a dot multiplication mode for calculating similarity; general is a similarity calculation method; concat is a similarity calculation method.
In addition, the design of feature engineering in the identification model is intended, the core idea is mainly developed by the idea of end-to-end, and the included features can be some common features and customized features. Reference may be made to the characteristic design example table shown in table 1 below:
Figure 879342DEST_PATH_IMAGE005
TABLE 1
With the increase of Feature features, the features of this general type gradually do not need to be increased any more (e.g. Feature1, Feature 2), and other personalized features are designed according to the actual situation of the input sentence, and a sparse matrix formed by an actual sentence is shown in the following table 2:
Figure 975343DEST_PATH_IMAGE006
TABLE 2 sparse matrix example
The abscissa in table 2 represents the number of sparse features, here 7 features, and the ordinate represents the input sentence after word segmentation, here 14 tokens. The condition for satisfying Feature is 1, otherwise it is 0.
The invention provides an operation and maintenance method based on a mobile terminal, which is characterized in that the training sample design in an intention recognition model is carried out based on an Attention mechanism, the specific content of the Attention mechanism is further elaborated, the convenience and the intellectualization of the operation and maintenance process are powerfully supported, and the user experience is greatly improved.
Based on any one of the above embodiments, in this embodiment, the present invention provides an operation and maintenance method based on a mobile terminal, where the training of the BERT-wwm version model specifically includes:
and increasing iteration times and model complexity in a training process, and enabling the intention recognition model to be overfitting to a certain extent.
In this embodiment, the intention recognition model also belongs to a classification model, and in the training of the classification model, it is usually necessary to avoid under-fitting (under-fitting) or over-fitting (over-fitting) of the training to achieve the best classification effect. Aiming at the chat robot scene in the application, in order to obtain the optimal classification effect, the iteration times and the model complexity are increased in the training process, the intention recognition model is overfitting to a certain degree, the intention recognition performance of the intention recognition model can be greatly improved, and the specifically increased iteration times and overfitting degree can be determined by combining with a specific application scene.
In this embodiment, 80% of data is trained in each iteration, 20% of data is left as a test set, and accuracy (accuracuacy) is adopted as an evaluation index. Thus, the classification surface formed by the intention recognition model can narrow the judgment domain of each class.
The invention provides an operation and maintenance method based on a mobile terminal, which increases iteration times and model complexity in a training process by defining an intention recognition model, so that the model is over-fitted to a certain extent, thereby greatly improving the intention recognition performance of the intention recognition model, powerfully supporting the convenience and intellectualization of the operation and maintenance process and greatly improving the user experience.
Based on any one of the above embodiments, in this embodiment, the invention provides an operation and maintenance method based on a mobile terminal, where the chinese statement sample includes chinese wikipedia.
In the embodiment, the Chinese sentence samples adopted in the training of the intention recognition model comprise simplified and traditional Chinese Wikipedia.
The invention provides an operation and maintenance method based on a mobile terminal, which powerfully supports the convenience and intellectualization of an operation and maintenance process and greatly improves the user experience by determining that Chinese sentence samples adopted in the training of an intention recognition model comprise Chinese Wikipedia.
Based on any one of the above embodiments, in this embodiment, the present invention provides an operation and maintenance method based on a mobile terminal, where the executing a corresponding operation and maintenance task based on the target task name specifically includes:
acquiring target task information based on the target task name;
and calling a corresponding tool based on the target task information to execute a corresponding operation and maintenance task.
In this embodiment, after the name of the target task to be executed by the user is obtained, the detailed information of the corresponding target task, including the task name, the task type, the task script path, or the URL triggering the task execution, is queried from the database according to the name of the target task. And executing specific tasks according to the detailed information of the target tasks. Before execution, the operation and maintenance system prompts a user whether to execute a selected target task, and if the user selects 'yes', the operation and maintenance system triggers execution of the target task.
The invention provides an operation and maintenance method based on a mobile terminal, which further refines a method framework for intelligently identifying and executing the operation and maintenance tasks by defining a specific process of executing the corresponding operation and maintenance tasks based on the target task name, powerfully supports the convenience and the intellectualization of the operation and maintenance process, and greatly improves the user experience.
Based on any one of the foregoing embodiments, in this embodiment, the present invention provides an operation and maintenance method based on a mobile terminal, where after the corresponding operation and maintenance task is executed based on the target task name, the method further includes:
and recording an execution log of the operation and maintenance task.
In this embodiment, after the target task is triggered to be executed, the operation and maintenance system tracks the execution process of the target task, records log information of the execution process, and returns the log information to the user. The user can also inquire the corresponding A inspection task by inputting 'checking the A inspection log', the mobile terminal APP robot can ask for the A inspection task, after the A inspection task is selected, the robot returns the execution log of the A inspection task, clicks to check more, jumps to the execution log list page, and can check the details of the log.
The operation and maintenance method based on the mobile terminal further refines a method framework for intelligently identifying and executing the operation and maintenance task by further clearly recording the execution log of the operation and maintenance task, powerfully supports the convenience and the intellectualization of the operation and maintenance process, and greatly improves the user experience.
The operation and maintenance device based on the mobile terminal according to the present invention is described below, and the operation and maintenance device based on the mobile terminal described below and the operation and maintenance method based on the mobile terminal described above may be referred to correspondingly.
Fig. 3 is a structural diagram of the operation and maintenance device based on the mobile terminal according to the present invention, and as shown in fig. 3, the operation and maintenance device based on the mobile terminal according to the present invention includes:
an information obtaining module 310, configured to obtain user input information;
a target task obtaining module 320, configured to input the user input information into a pre-trained intent recognition model to obtain a target task name;
the target task execution module 330 is configured to execute a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
The invention provides an operation and maintenance device based on a mobile terminal, which combines an operation and maintenance robot of the mobile terminal and an intention recognition model by arranging an information acquisition module, a target task acquisition module and a target task execution module to obtain a method framework for intelligently recognizing and executing an operation and maintenance task, thereby improving the convenience and the intellectualization of the operation and maintenance process and greatly improving the user experience.
Based on any one of the above embodiments, in this embodiment, the present invention provides an operation and maintenance device based on a mobile terminal, where the target task execution module 330 specifically includes:
a target task information obtaining unit, configured to obtain target task information based on the target task name;
and the target task execution unit is used for calling a corresponding tool based on the target task information so as to execute a corresponding operation and maintenance task.
The invention provides an operation and maintenance device based on a mobile terminal, which is characterized in that a target task information acquisition unit and a target task execution unit are arranged, so that the specific process of executing a corresponding operation and maintenance task based on a target task name is defined, the method framework of intelligent identification and execution of the operation and maintenance task is further refined, the convenience and the intellectualization of the operation and maintenance process are powerfully supported, and the user experience is greatly improved.
Based on any one of the above embodiments, in this embodiment, the present invention provides an operation and maintenance device based on a mobile terminal, further including:
and the execution log recording module is used for recording the execution log of the operation and maintenance task.
The operation and maintenance device based on the mobile terminal further definitely records the execution log of the operation and maintenance task by arranging the execution log recording module, further refines the method framework of intelligent identification and execution of the operation and maintenance task, powerfully supports the convenience and the intellectualization of the operation and maintenance process, and greatly improves the user experience.
In another aspect, the present invention further provides an electronic device, fig. 4 illustrates a physical structure diagram of an electronic device, as shown in fig. 4, the electronic device may include a processor 410, a communication bus 420, a memory 430, a communication interface 440, and a computer program stored on the memory 430 and operable on the processor 410, where the processor 410, the communication interface 410, and the memory 430 complete communication with each other through the communication bus 440, and the processor 410 may call a logic instruction in the memory 430 to perform a mobile-end-based operation and maintenance method, where the method includes:
acquiring user input information through a mobile terminal;
inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
In yet another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program can implement a mobile-terminal-based operation and maintenance method, including:
acquiring user input information through a mobile terminal;
inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (9)

1. An operation and maintenance method based on a mobile terminal is characterized by comprising the following steps:
acquiring user input information through a mobile terminal;
inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
2. The operation and maintenance method based on mobile terminal according to claim 1, wherein the Attention mechanism is:
Figure 531350DEST_PATH_IMAGE001
wherein, Query is a hidden layer output vector of the network; source is the set of key-value pairs; keyi is the product of the expression vector of each word of the statement and the initial given weight Wq, and Wq is a random assignment matrix; similarity is Similarity calculation; valuei is the product of the vector and the random assignment matrix Wv.
3. The operation and maintenance method based on the mobile terminal according to claim 1, wherein the training of the BERT-wwm version model specifically comprises:
and increasing iteration times and model complexity in a training process to ensure that the intention recognition model is overfitting to a certain degree.
4. The mobile-terminal-based operation and maintenance method according to claim 1, wherein the chinese sentence sample comprises chinese wikipedia.
5. The operation and maintenance method based on the mobile terminal according to claim 1, wherein the executing of the corresponding operation and maintenance task based on the target task name specifically includes:
acquiring target task information based on the target task name;
and calling a corresponding tool based on the target task information to execute a corresponding operation and maintenance task.
6. The operation and maintenance method based on the mobile terminal according to claim 1, wherein after the executing the corresponding operation and maintenance task based on the target task name, further comprising:
and recording an execution log of the operation and maintenance task.
7. An operation and maintenance device based on a mobile terminal is characterized by comprising:
the information acquisition module is used for acquiring user input information;
the target task obtaining module is used for inputting the user input information into a pre-trained intention recognition model to obtain a target task name;
the target task execution module is used for executing a corresponding operation and maintenance task based on the target task name;
wherein the intention recognition model is obtained by training a BERT-wwm version model based on an Attention mechanism by using Chinese sentence samples.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the mobile-based operation and maintenance method according to any one of claims 1 to 6 when executing the program.
9. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the mobile-based operation and maintenance method according to any one of claims 1 to 6.
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