CN113095794A - Production problem checking method and device based on Markov chain - Google Patents
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Abstract
The invention discloses a production problem checking method and device based on a Markov chain, and relates to the technical field of big data, wherein the method comprises the following steps: receiving a current production problem number input by a user; determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems; and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user. The invention can display the operation behaviors of the workers exceeding the preset level in real time in the process of checking the production problems, improves the accuracy and safety of the checking of the production problems and reduces the operation and maintenance cost compared with the method that the workers with rich experience personally guide the problem analysis.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a production problem checking method and device based on a Markov chain.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
The existing auxiliary technology for analyzing the production problems mainly focuses on the aspect of Artificial Intelligence (AI), establishes an automatic operation and maintenance platform, automatically analyzes the reasons of the problems by utilizing the AI, and automatically solves part of the production problems. The AI addresses the drawbacks of analytical production problems as follows:
1. the AI characteristic needs a large amount of samples to learn, but the production problem is better, the fewer the production problem is, and the probability of the production problem is reduced as much as possible in the software production process, so that the problem is a fundamental contradiction, only depends on the problem of manual active manufacturing and the problem found in the development and test process, the sample coverage is limited, and the reliability is low.
2. The instability of the AI itself may cause misjudgment, which may further expand the risk caused by the original production problem and cause more loss.
In conclusion, the existing production problem checking method is low in accuracy and safety and high in operation and maintenance cost.
Disclosure of Invention
The embodiment of the invention provides a production problem checking method based on a Markov chain, which is used for improving the accuracy and low safety of production problem checking and reducing the operation and maintenance cost and comprises the following steps:
receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user.
The embodiment of the invention also provides a production problem checking device based on the Markov chain, which is used for improving the accuracy and the low safety of the production problem checking and reducing the operation and maintenance cost, and comprises the following components:
the receiving unit is used for receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
the determining unit is used for determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
and the auxiliary display unit is used for displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the production problem checking method based on the Markov chain.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above method for checking a production problem based on a markov chain is stored in the computer-readable storage medium.
In the embodiment of the invention, compared with the technical scheme that in the prior art, the AI production problem is checked by a large number of samples, the accuracy and the safety are low, and the operation and maintenance cost is high, the Markov chain-based production problem checking scheme comprises the following steps: receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type; determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems; according to the operation behavior of the current production problem checked by the user, the corresponding nodes and/or lines in the flow chart are displayed in a preset prominent display mode, the operation behavior of the workers exceeding the preset level can be displayed in real time in the process of the production problem check, compared with the problem analysis guided by the workers with abundant experience, the accuracy and the safety of the production problem check are improved, and the operation and maintenance cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a schematic flow chart of a Markov chain-based production problem checking method in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a branch diagram for assisting in checking production problems in an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating pre-establishing the branch diagram according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating pre-establishing the branch diagram according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a production problem checking device based on a markov chain in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
Before describing embodiments of the present invention, terms related to the embodiments of the present invention will be described.
1. Markov Chain (MC): is a stochastic process in probability theory and mathematical statistics that has markov properties and exists in discrete exponential sets and state spaces.
2. The production problem is as follows: the software product needs to be subjected to test verification in several environments such as development, function, module test and the like in the development and test process, and the formal environment for customers and banking staff after the software product passes the test is the production environment. Problems that occur in production (including program code problems, hardware failure problems, business personnel operational problems) are collectively referred to as production problems.
3. Production problem analysis platform: the analysis of production problems requires information such as program logs, database data and the like as a basis, the required data is often scattered, a production problem analysis platform is established for facilitating the problem analysis of developers, almost all data required by the analysis of production problems can be consulted on the platform, and various safety mechanisms such as encryption and the like are provided.
The embodiment of the invention mainly aims to reduce the time cost and the misjudgment probability of developers in the process of analyzing production problems and reduce the labor cost of operation and maintenance. Therefore, the embodiment of the invention provides a production problem checking scheme based on a Markov chain, and the scheme is an auxiliary scheme of a production problem checking platform based on the Markov chain. The markov chain-based production problem checking scheme is described in detail below.
Fig. 1 is a schematic flow chart of a production problem checking method based on a markov chain in an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101: receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
step 102: determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
step 103: and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user.
The production problem checking method based on the Markov chain can display the operation behaviors of the workers exceeding the preset level in real time in the production problem checking process, improves the accuracy and safety of the production problem checking, and reduces operation and maintenance cost compared with the method for guiding problem analysis by the workers with abundant experience in person. The individual steps involved in the method are described in detail below.
The basic core idea of the embodiment of the invention is to better provide the analysis process of developers with rich experience for the reference of developers with lower experience. The core is divided into two parts: the analysis process (data collection, namely the process of pre-establishing the branch diagram) of the development personnel with rich learning experience, and the auxiliary investigation application part (namely the step of actual examination) for other development personnel to refer to. As described in detail below.
First, a part of collecting data, namely, a step of establishing a branch diagram in advance, is described.
1.1. Using a production problem analysis platform (a production problem checking device based on a markov chain provided by an embodiment of the present invention), a developer inputs a production problem number (i.e., step 201 below), and determines whether the employee is an experienced employee (i.e., a developer above xx level, i.e., a worker exceeding a preset level, i.e., step 202 below), if so, recording is started, otherwise, the recording is directly ended. The process for assigning production issue numbers may be: a set of production problem classification numbering mechanism is designed aiming at problems, corresponding numbers can be assigned when the production problems occur, and the numbers are assigned according to service types and technical types, for example, a corresponding relation between the production problem numbers and the service types and the technical types is designed in advance, when a production problem is received, the service type and the technical type of the production problem are firstly determined, then the service type and the technical type of the production problem are searched in the corresponding relation, the production problem numbers are obtained through matching, and a production problem number is assigned to the received production problem. Regarding judging whether the employee is an experienced employee, the specific process may be: and matching and searching the production problem numbers in the relation between the production problem numbers and the worker levels to obtain the worker levels corresponding to the production problem numbers. The relationship between the production problem number and the staff level may be a table, or a relationship model.
1.2. It is recorded which operations the developer (staff) has done in turn, as shown in fig. 2, which SQL statement was used to look up the database in the first step, which keywords were used to look up the log and so on in the second step.
1.3. And recording to a database, as shown in fig. 2, recording in a form of a markov chain, wherein the first choice is the question number input in the step 1.1, and the second choice begins with each operation in the step 1.2 (wherein the column of the question number belongs to the first choice; the direct next step of the question number is the second choice, the direct next step of the second choice is the third choice, and the second, third, fourth and … … N choices are the same in nature and are all specific operations for troubleshooting the question).
In specific implementation, the steps "1.2" and "1.3" are detailed embodiments of the following step 203.
1.4. Sorting and counting the process relationships, namely, the following step 204 and step 205, as shown in fig. 2, if the first choice is to input the problem number with the number xxxx, then the next percentage of people (one person checks one production problem and counts one person, and two persons count if two different persons check the same production problem and log with two different accounts) check the database with a certain SQL statement, and the percentage of people check the log with which keywords; then, under the condition that a certain SQL statement is selected, the percentage (proportion) of people check the database by using the certain SQL statement, and the percentage of people check the log by using the key words; and the like (the selection of less than 5 percent is skipped, and the preferred branch graph is obtained without displaying).
As can be seen from the above, in an embodiment, as shown in fig. 3, the above method for checking production problems based on a markov chain may further include pre-establishing the branch diagram according to the following method:
step 201: acquiring a production problem number when a worker checks a historical production problem; the production problem number is pre-distributed according to the service type and the technology type;
step 202: determining a worker level corresponding to the production problem number when the historical production problem is inspected according to the production problem number when the historical production problem is inspected and the relation between the production problem number and the worker level;
step 203: when the worker level corresponding to the production problem number is determined to exceed the preset level when the historical production problem is checked, recording all operation behaviors of the worker for checking the historical production problem in a Markov chain mode; wherein the first choice is a question number, each choice from the second choice is an operation behavior of each inspection production question, each choice from the second choice comprises a plurality of sub-choices with the same attribute (corresponding to each choice from the second choice being a layer choice comprising a plurality of sub-choices, for example, in fig. 2, "search XX log with XX keyword" is a sub-choice, "search database with xxsql statement" is a sub-choice, and the two sub-choices belong to the second choice, which is corresponding to a second layer operation behavior record);
step 204: determining the proportion of the operation behaviors of a plurality of workers exceeding a preset level for checking the historical production problems, which correspond to each sub-selection;
step 205: and forming a branch diagram for assisting in checking the production problem according to the operation behaviors recorded according to the Markov chain and the proportion, and storing the branch diagram in a database.
In addition, in an embodiment, as shown in fig. 4, forming a branch diagram for assisting in checking production problems according to the operation behaviors recorded according to the markov chain and the ratio, storing the branch diagram in a database, may include step 2051: deleting the corresponding branch of the sub-selection smaller than the preset proportion in the branch diagram to obtain the optimized branch diagram; and the optimized branch graph is stored in a database, so that the accuracy and efficiency of the production problem check are further improved.
Secondly, an application part for other developers to refer to auxiliary troubleshooting is introduced, namely, a step of using a pre-established branch diagram to check the production problems is adopted.
2.1. The developer inputs the problem number using the production problem analysis platform, i.e., step 101 described above.
2.2. The subsequent operation flow (i.e. the flow chart corresponding to the current production problem number, for example, the subsequent flow chart corresponding to the branch corresponding to the problem number 1 in fig. 2) with the first selection as the input problem number is found from the database, and is displayed on the right side (the preset position) of the program interface (the selection which accounts for less than 5% is skipped without being displayed), the operation of each step is displayed according to the form of the branch chart, and the number of the corresponding step is about hundredth. That is, in one embodiment, displaying corresponding nodes and/or lines in the flowchart in a preset highlighting manner according to an operation behavior of a user for checking a current production problem may include: and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting way at a preset position according to the operation behavior of the current production problem checked by the user.
2.3. Taking fig. 2 as an example, a problem with a problem number 1 occurs, when the problem is examined, the problem number 1 is firstly input, at this time, x% of people are shown to examine xx (xx is assumed to be "account checking error") logs by using xx keywords (xx is assumed to be system _ out. log files), y% of people use xx sql sentences to examine databases, and z% of people do xx operation; if the user takes the operations other than the three operations for the number of times, the operation items displayed on the interface still stay at the same positions until the operations similar to the three operations are taken; if the keyword 'check account error' (50% of keywords are the same, even if the same operation is carried out, 50% is a set threshold value) is used for searching system _ out. log at this time, x% of people are displayed to search yy logs by using yy keywords, y% of people use yy sql sentences to search the database, and z% of people do yy operation; (assuming only 3-layer operations were recorded as in FIG. 2) at this time if the yy log was examined with the yy key, no further operations are shown (because of the lack of a later).
In specific implementation, the above "2.2" and "2.3" are detailed implementations of step 102.
2.4. If the developer operates according to the flow on the branch diagram, highlighting lines and/or nodes corresponding to the branches; if the midway operation is separated from the branch, keeping the current highlight part unchanged; if one again returns to the point of the operation of disengaging and the next is one of the branches of the presentation, the highlighting is restarted, for example: if the current point is to search the log with the query keyword "account exception", then the next step of the display is to select 75% of people to check the database with "select from the account table", 22% of people to check the log with "account details", and you have checked javacore, then highlight the point of "search the log with the query keyword" account exception ", and then if the similar operation of" check the database with "select from the account table" or "check the log with" account details ", then proceed to highlight the corresponding point of the operation, that is, step 103.
As can be seen from the above, in an embodiment, displaying corresponding nodes and/or lines in the flowchart in a preset highlighting manner according to an operation behavior of a user checking a current production problem may include: and if the operation behavior of the current production problem is deviated from the current branch, keeping the nodes and/or lines displayed in the current highlighting manner unchanged.
As can be seen from the above, in an embodiment, the method for checking a production problem based on a markov chain may further include: and if the node and/or line corresponding to the operation behavior of the disengaged current production problem is returned again, and the next selection is determined to be one of the displayed current branches, restarting to display in a preset highlighting manner.
In one embodiment, the preset highlighting manner may be a manner in which the brightness exceeds a preset value. The highlight display mode is helpful for displaying the operation of checking the production problems of the staff with rich experience in real time more clearly, and helps the staff to check the production problems more efficiently.
The production problem checking method based on the Markov chain has the beneficial effects that: the experience of the developers with abundant experience is displayed in real time in the analysis process, and compared with the problem analysis guided by the employees with abundant experience in person, the method can reduce the labor input. Meanwhile, the staff with low experience can walk on a curved road in the problem analysis process, for example, the situation that some information which cannot be used at all can be avoided, the labor input is reduced, the analysis accuracy is improved, for example, developers (staff) can not see some information which cannot be used practically, the concern for problems is reduced, and the situation that some information is carried about is prevented.
The embodiment of the invention also provides a production problem checking device based on the Markov chain, which is described in the following embodiment. Because the principle of the device for solving the problems is similar to the method for checking the production problems based on the Markov chain, the implementation of the device can refer to the implementation of the method for checking the production problems based on the Markov chain, and repeated parts are not repeated.
Fig. 5 is a schematic structural diagram of a production problem checking device based on a markov chain in an embodiment of the present invention, and as shown in fig. 5, the production problem checking device based on the markov chain includes:
the receiving unit 01 is used for receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
the determining unit 02 is used for determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
and the auxiliary display unit 03 is configured to display the corresponding nodes and/or lines in the flowchart in a preset highlighting display manner according to the operation behavior of the user for checking the current production problem.
In an embodiment, the above production problem checking apparatus based on a markov chain may further include a building unit, configured to pre-build the branching diagram according to the following method:
acquiring a production problem number when a worker checks a historical production problem; the production problem number is pre-distributed according to the service type and the technology type;
determining a worker level corresponding to the production problem number when the historical production problem is inspected according to the production problem number when the historical production problem is inspected and the relation between the production problem number and the worker level;
when the worker level corresponding to the production problem number is determined to exceed the preset level when the historical production problem is checked, recording all operation behaviors of the worker for checking the historical production problem in a Markov chain mode; wherein the first selection is a problem number, each selection from the second selection is an operation behavior of each inspection production problem, and each selection from the second selection comprises a plurality of sub-selections with the same attribute;
determining the proportion of the operation behaviors of a plurality of workers exceeding a preset level for checking the historical production problems, which correspond to each sub-selection;
and forming a branch diagram for assisting in checking the production problem according to the operation behaviors recorded according to the Markov chain and the proportion, and storing the branch diagram in a database.
In one embodiment, forming a branching diagram for assisting in checking production problems according to the operation behaviors recorded according to the markov chain and the proportion, and storing the branching diagram in a database may include: deleting the corresponding branch of the sub-selection smaller than the preset proportion in the branch diagram to obtain the optimized branch diagram; the preferred branch map is stored in a database.
In one embodiment, the auxiliary presentation unit is specifically configured to: and if the operation behavior of the current production problem is deviated from the current branch, keeping the nodes and/or lines displayed in the current highlighting manner unchanged.
In one embodiment, the auxiliary presentation unit may be further configured to: and if the node and/or line corresponding to the operation behavior of the disengaged current production problem is returned again, and the next selection is determined to be one of the displayed current branches, restarting to display in a preset highlighting manner.
In one embodiment, the auxiliary display unit may be specifically configured to: and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting way at a preset position according to the operation behavior of the current production problem checked by the user.
In one embodiment, the preset highlighting manner may be a manner in which the brightness exceeds a preset value.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the production problem checking method based on the Markov chain.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above method for checking a production problem based on a markov chain is stored in the computer-readable storage medium.
In the embodiment of the invention, compared with the technical scheme that in the prior art, the AI production problem is checked by a large number of samples, the accuracy and the safety are low, and the operation and maintenance cost is high, the Markov chain-based production problem checking scheme comprises the following steps: receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type; determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems; according to the operation behavior of the current production problem checked by the user, the corresponding nodes and/or lines in the flow chart are displayed in a preset prominent display mode, the operation behavior of the workers exceeding the preset level can be displayed in real time in the process of the production problem check, compared with the problem analysis guided by the workers with abundant experience, the accuracy and the safety of the production problem check are improved, and the operation and maintenance cost is reduced.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A production problem checking method based on a Markov chain is characterized by comprising the following steps:
receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user.
2. The markov chain-based production problem inspection method of claim 1, further comprising pre-establishing the branching diagram according to the following method:
acquiring a production problem number when a worker checks a historical production problem; the production problem number is pre-distributed according to the service type and the technology type;
determining a worker level corresponding to the production problem number when the historical production problem is inspected according to the production problem number when the historical production problem is inspected and the relation between the production problem number and the worker level;
when the corresponding staff level is determined to exceed the preset level, recording all operation behaviors of the staff for checking historical production problems in a Markov chain mode; wherein the first selection is a problem number, each selection from the second selection is an operation behavior of each inspection production problem, and each selection from the second selection comprises a plurality of sub-selections with the same attribute;
determining the proportion of the operation behaviors of a plurality of workers exceeding a preset level for checking the historical production problems, which correspond to each sub-selection;
and forming a branch diagram for assisting in checking the production problem according to the operation behaviors recorded according to the Markov chain and the proportion, and storing the branch diagram in a database.
3. The markov chain-based production problem inspection method of claim 2, wherein forming a branching diagram for assisting in inspecting production problems based on the operating behavior recorded in the markov chain and the ratio, the storing of the branching diagram in a database comprises: deleting the corresponding branch of the sub-selection smaller than the preset proportion in the branch diagram to obtain the optimized branch diagram; the preferred branch map is stored in a database.
4. The markov chain-based production problem checking method according to claim 1, wherein the displaying of the corresponding nodes and/or lines in the flowchart in a preset highlighting manner according to the operation behavior of the user for checking the current production problem comprises: and if the operation behavior of the current production problem is deviated from the current branch, keeping the nodes and/or lines displayed in the current highlighting manner unchanged.
5. The markov chain-based production problem inspection method of claim 4, further comprising: and if the node and/or line corresponding to the operation behavior of the disengaged current production problem is returned again, and the next selection is determined to be one of the displayed current branches, restarting to display in a preset highlighting manner.
6. The markov chain-based production problem checking method according to claim 1, wherein the displaying of the corresponding nodes and/or lines in the flowchart in a preset highlighting manner according to the operation behavior of the user for checking the current production problem comprises: and displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting way at a preset position according to the operation behavior of the current production problem checked by the user.
7. The markov chain-based production problem inspection method of claim 1, wherein the predetermined prominent presentation is a presentation having a brightness exceeding a predetermined value.
8. A Markov chain-based production problem inspection device, comprising:
the receiving unit is used for receiving a current production problem number input by a user; the production problem number is pre-distributed according to the service type and the technology type;
the determining unit is used for determining a flow chart corresponding to the current production problem number according to the current production problem number and a pre-established branch chart for assisting in checking the production problem; the branch diagram comprises operation behaviors recorded in a Markov chain mode when a plurality of workers exceeding a preset level check historical production problems;
and the auxiliary display unit is used for displaying the corresponding nodes and/or lines in the flow chart in a preset highlighting display mode according to the operation behavior of the current production problem checked by the user.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 7.
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