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CN114169176B - Method, device, storage medium and electronic device for determining failure risk of event - Google Patents

Method, device, storage medium and electronic device for determining failure risk of event Download PDF

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CN114169176B
CN114169176B CN202111518791.3A CN202111518791A CN114169176B CN 114169176 B CN114169176 B CN 114169176B CN 202111518791 A CN202111518791 A CN 202111518791A CN 114169176 B CN114169176 B CN 114169176B
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杨峰
张传会
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Caxa Technology Co Ltd
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    • G06F2119/02Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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Abstract

本申请公开了一种事件的失效风险的确定方法、装置、存储介质及电子装置。该方法包括:获取目标事件对应的工序模板,以及目标事件对应多个失效模式信息;将多个失效模式信息与工序模板中的工序信息进行匹配,得到目标模板,并确定每个失效模式信息对应的失效指标值;获取目标事件中各个工序所匹配的失效模式信息对应的特征值,将每个特征值与失效模式信息对应的失效指标值进行对比,得到多个对比结果,并根据多个对比结果确定目标事件的失效风险结果。通过本申请,解决了相关技术中无法快速准确的得到产品生产过程中的失效风险的问题。

The present application discloses a method, device, storage medium and electronic device for determining the failure risk of an event. The method includes: obtaining a process template corresponding to a target event, and multiple failure mode information corresponding to the target event; matching multiple failure mode information with process information in the process template to obtain a target template, and determining the failure index value corresponding to each failure mode information; obtaining the characteristic value corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information, obtaining multiple comparison results, and determining the failure risk result of the target event based on the multiple comparison results. Through the present application, the problem that the failure risk in the product production process cannot be obtained quickly and accurately in the related art is solved.

Description

Event failure risk determination method and device, storage medium and electronic device
Technical Field
The application relates to the field of failure risk determination, in particular to a method and a device for determining failure risk of an event, a storage medium and an electronic device.
Background
When products are produced in a modern factory, potential failure mode analysis is needed to be carried out on production line designs and production processes corresponding to each product, places where problems possibly occur in the production process of the products are listed one by one through the potential failure mode analysis, and then failure risk degrees of the production line designs and the production processes corresponding to the products are obtained by analyzing data generated in the production process of each product, so that the production line designs and the production processes of the products are improved in time, the process can be carried out smoothly, more defective products are avoided, and the loss of enterprises is reduced.
However, in the current method for analyzing the potential failure mode of the production line design and the production process, the process personnel usually write the failure mode analysis table manually, and in the process of programming, the failure modes need to be filled into the potential failure mode analysis table one by one, and the production data are manually counted and summarized and analyzed, so that the failure risk corresponding to the product is finally obtained. However, most of the manual writing methods are based on manual experience, errors can occur in the design of failure modes, meanwhile, errors can occur in the analysis results of the analysis of the production data, so that the failure risk of the technological process of the production of the product is misjudged, and the enterprise bears unnecessary losses.
Aiming at the problem that failure risk in the production process of products cannot be obtained rapidly and accurately in the related technology, no effective solution is proposed at present.
Disclosure of Invention
The application provides a method and a device for determining failure risk of an event, a storage medium and an electronic device, and aims to solve the problem that failure risk in a product production process cannot be obtained rapidly and accurately in the related technology.
According to one aspect of the application, a method of determining a failure risk of an event is provided. The method comprises the steps of obtaining a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event, wherein the process template comprises process information required for completing the target event, the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event, matching the plurality of pieces of failure mode information with the process information in the process template to obtain the target template, determining failure index values corresponding to each piece of failure mode information, obtaining characteristic values corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index values corresponding to the failure mode information to obtain a plurality of comparison results, and determining failure risk results of the target event according to the plurality of comparison results.
Optionally, acquiring the process templates corresponding to the target event and the failure mode information corresponding to the target event comprises identifying keywords of the target event, searching the process templates corresponding to the keywords in a first database, wherein the first database stores the process templates, each process template comprises preset process information, and searching the failure mode information corresponding to the keywords in a second database to obtain the failure mode information corresponding to the target event, wherein the second database stores the failure mode information.
Optionally, each characteristic value comprises a plurality of sub-characteristic values, comparing each characteristic value with a failure index value corresponding to failure mode information to obtain a plurality of comparison results, wherein the step of multiplying all the sub-characteristic values in the same characteristic value to obtain a target characteristic value, and comparing the target characteristic value with the failure index value corresponding to the characteristic value to obtain a comparison result.
Optionally, determining the failure index value corresponding to each failure mode information includes obtaining all failure mode information in a target template, obtaining a preset template containing at least all failure mode information from a third database, obtaining a standard template, wherein the third database stores a plurality of preset templates, each preset template comprises preset procedure information, preset failure mode information and a failure index value corresponding to each preset failure mode information, each failure index value comprises a plurality of sub-index values, obtaining the failure index value corresponding to all failure mode information in the target template from the standard template, each characteristic value comprises a plurality of sub-characteristic values, comparing each characteristic value with the failure index value corresponding to the failure mode information, and obtaining a plurality of comparison results comprises determining the sub-index value of each sub-characteristic value in each characteristic value under the corresponding failure index value, comparing each sub-characteristic value with the corresponding sub-index value, obtaining a group of sub-comparison results, and determining the group of sub-comparison results as one comparison result.
Optionally, in the process of acquiring all failure mode information in the target template and acquiring the preset template at least containing all failure mode information from the third database, if the preset template at least containing all failure mode information cannot be acquired, generating alarm information.
Optionally, after the plurality of failure mode information is matched with the process information in the process template to obtain the target template, the method further comprises the steps of judging whether a matching result of each process information and the matched failure mode information is correct or not, under the condition that the matching result is wrong, obtaining target process information and target failure mode information corresponding to the matching result, deleting the target failure mode information, re-obtaining the failure mode information from the second database according to the target process information, and adding the obtained failure mode information into the target template to obtain the updated target template.
Optionally, after determining the failure risk result of the target event according to the plurality of comparison results, the method further comprises the steps of determining that the failure risk exists when the failure risk result indicates that the target event exists, acquiring corrected characteristic values corresponding to the steps of correcting the failure risk exists, comparing each corrected characteristic value with a failure index value corresponding to failure mode information to obtain a plurality of updated comparison results, and determining the failure risk result of the target event according to the plurality of updated comparison results.
According to another aspect of the present application, a device for determining a failure risk of an event is provided. The device comprises a first acquisition unit, a first matching unit and a second acquisition unit, wherein the first acquisition unit is used for acquiring a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event, the process template comprises process information required by completing the target event, the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event, the first matching unit is used for matching the plurality of pieces of failure mode information with the process information in the process template to obtain the target template and determining a failure index value corresponding to each piece of failure mode information, the second acquisition unit is used for acquiring characteristic values corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining a failure risk result of the target event according to the plurality of comparison results.
According to another aspect of the embodiment of the present invention, there is also provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device in which the nonvolatile storage medium is controlled to execute a method for determining a failure risk of an event.
According to another aspect of the embodiment of the invention, there is also provided an electronic device, including a processor and a memory, wherein the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, and the computer readable instructions execute a method for determining a failure risk of an event when running.
The method comprises the steps of obtaining a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event, wherein the process template comprises process information required for completing the target event, the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event, matching the plurality of pieces of failure mode information with the process information in the process template to obtain the target template, determining failure index values corresponding to each piece of failure mode information, obtaining characteristic values corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining failure risk results of the target event according to the plurality of comparison results. The problem that failure risks in the production process of products cannot be obtained rapidly and accurately in the related technology is solved. The template is automatically matched with the failure mode to generate a risk judging template, and the failure risk is judged in a mode of automatically calculating and comparing the characteristic value to obtain a failure risk result, so that the failure risk result in the production process of the product is rapidly and accurately obtained, and the product design and production mode are modified.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 is a flow chart of a method of determining a failure risk of an event provided in accordance with an embodiment of the present application;
FIG. 2 is a flow chart of an alternative event failure risk determination method provided in accordance with an embodiment of the present application;
fig. 3 is a schematic diagram of a device for determining failure risk of an event according to an embodiment of the present application.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the application, a method for determining failure risk of an event is provided.
Fig. 1 is a flowchart of a method for determining failure risk of an event according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
Step S102, a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event are obtained, wherein the process template comprises process information required for completing the target event, and the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event.
Specifically, the target event may be to produce an a product, where the a product needs to be produced using a production line, where each production line includes multiple processes, and each process may correspond to multiple failure mode information, for example, the a product may be a cup, where multiple failure modes may exist in a process of producing a cup lid, producing a cup body, producing a handle, coloring, and the like, for example, a cup lid cracking, a cup lid oversized, and the like.
It should be noted that, in the method for determining the failure risk of the event provided in this embodiment, the process template corresponding to the target event may be obtained first, where the process template includes all the process contents corresponding to the target event, for example, the process template corresponding to the product a may include the processes of producing the cup cover, producing the cup body, producing the handle, coloring, and the like, and meanwhile, multiple pieces of failure mode information corresponding to the target event may be obtained, for example, if the product a is a cup, relevant failure mode information about the cup cover, the cup body, the handle, and the color is obtained.
Step S104, matching the failure mode information with the process information in the process template to obtain a target template, and determining a failure index value corresponding to each failure mode information.
Specifically, after a process template corresponding to a target event and a plurality of failure mode information are obtained, each failure mode information and a process corresponding to the failure mode information are matched and connected to generate a target template corresponding to the target event, wherein the target template can be used for judging the failure risk of the target event. In each piece of failure mode information, failure reasons and failure index values of each failure mode are contained, for example, one failure mode corresponding to an A product is that a cup cover crack exceeds 1cm, the failure index value is 450, the cup cover is a bad product when the cup cover crack exceeds 1cm, namely the cup cover is failed, and in the case that the actual index value is greater than 450, the failure mode of the station is at failure risk, namely the bad product is at higher risk in terms of production, outflow and the like, and the failure mode of the station needs to be subjected to product design and corresponding improvement in product production, so that the failure risk is avoided.
Step S106, obtaining characteristic values corresponding to failure mode information matched by each procedure in the target event, comparing each characteristic value with a failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining a failure risk result of the target event according to the plurality of comparison results.
Specifically, the characteristic values corresponding to each failure mode of the target event in each process in actual production are obtained, wherein the characteristic values can include severity caused by failure occurrence, failure occurrence frequency and checked difficulty corresponding to failure phenomenon, namely detection degree. After the characteristic value is obtained, the characteristic value can be compared with the corresponding failure index value after being calculated, or the characteristic value can be compared with the corresponding failure index value, and the failure risk result corresponding to each process is obtained in different modes, so that the failure risk result corresponding to the target event is obtained.
For example, one failure mode corresponding to the product A is that the cup cover crack exceeds 1cm, the failure index value is 450, the severity of the cup cover crack exceeding 1cm is 7, the occurrence frequency is 4, the detection degree is 4, the characteristic index value is 112 through multiplication, and the characteristic index value is smaller than the failure index value 450, so that the current production mode and the inspection mode for the cup cover crack exceeding 1cm are proved to be normal.
The method for determining the failure risk of the event comprises the steps of obtaining a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event, wherein the process template comprises process information required for completing the target event, the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event, matching the plurality of pieces of failure mode information with the process information in the process template to obtain the target template, determining a failure index value corresponding to each piece of failure mode information, obtaining characteristic values corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining the failure risk result of the target event according to the plurality of comparison results. The problem that failure risks in the production process of products cannot be obtained rapidly and accurately in the related technology is solved. The template is automatically matched with the failure mode to generate a risk judging template, and the failure risk is judged in a mode of automatically calculating and comparing the characteristic value to obtain a failure risk result, so that the failure risk result in the production process of the product is rapidly and accurately obtained, and the product design and production mode are modified.
Optionally, in the method for determining the failure risk of the event provided by the embodiment of the application, the step of obtaining the step template corresponding to the target event and the step of obtaining the plurality of pieces of failure mode information corresponding to the target event comprise the steps of identifying the keyword of the target event, searching the step template corresponding to the keyword in a first database, wherein the plurality of step templates are stored in the first database, each step template comprises preset step information, and searching the failure mode information corresponding to the keyword in a second database, so as to obtain the plurality of pieces of failure mode information corresponding to the target event, and the plurality of pieces of failure mode information are stored in the second database.
Specifically, one or more keywords corresponding to the target event are input first, a process template corresponding to the keywords is obtained in a first database through the keywords, and all failure mode information corresponding to the keywords is obtained in a second database. For example, if the target event is to produce a cup, the keyword may be a cup including a cup cover and a handle, and then a process template corresponding to the process of producing the cup a may be obtained from a plurality of process templates in the first database, failure mode information corresponding to the process of producing the cup cover, producing the cup body, producing the handle and the like may be selected in the second database, failure mode information related to the cup cover in the failure mode information may be matched with the process of producing the cup cover in the process templates, and failure mode information related to the cup body in the failure mode information may be matched with the process of producing the cup body in the process templates, thereby obtaining the target template corresponding to the cup a.
Optionally, in the method for determining failure risk of an event provided by the embodiment of the application, each characteristic value comprises a plurality of sub-characteristic values, and comparing each characteristic value with a failure index value corresponding to failure mode information to obtain a plurality of comparison results, wherein the step of multiplying all the sub-characteristic values in the same characteristic value to obtain a target characteristic value and comparing the target characteristic value with the failure index value corresponding to the characteristic value to obtain a comparison result.
Specifically, after the feature value corresponding to each piece of failure mode information is obtained, multiplication calculation can be performed on the sub-feature values in the feature values, a failure index value corresponding to each piece of failure mode information is obtained, and a calculation result is compared with the corresponding failure index value to obtain a comparison result, wherein the failure index value can be a preset RPN (Risk Priority Number risk coefficient value).
For example, one failure mode corresponding to the product A is that the cup body height is smaller than 50cm, the preset RPN is 300, the severity of the cup body height is smaller than 50cm in the actual production process is 8, the occurrence frequency is 2, the detection degree is 5, the characteristic index value is 80 through multiplication, and the result is normal if the characteristic index value is smaller than the preset RPN, and the current production mode and the inspection mode for the cup body height smaller than 50cm are proved to be free of risks.
Optionally, in the method for determining failure risk of an event provided by the embodiment of the application, determining the failure index value corresponding to each failure mode information includes obtaining all failure mode information in a target template, obtaining a preset template containing at least all failure mode information from a third database, obtaining a standard template, wherein the third database stores a plurality of preset templates, each preset template comprises preset procedure information, preset failure mode information and failure index values corresponding to each preset failure mode information, each failure index value comprises a plurality of sub-index values, obtaining failure index values corresponding to all failure mode information in the target template from the standard template, each characteristic value comprises a plurality of sub-characteristic values, comparing each characteristic value with the failure index value corresponding to the failure mode information, and obtaining a plurality of comparison results comprises determining the sub-index value of each sub-characteristic value in each characteristic value under the corresponding failure index value, comparing each sub-characteristic value with the corresponding sub-index value, obtaining a group of sub-comparison results, and determining the group of sub-comparison results as one comparison result.
Specifically, after the target template is obtained, all failure mode information in the target template may be obtained, and a preset template including all failure mode information in the target template, for example, 20 failure mode information in the target template, is obtained in the third database, at this time, a search is performed in the third database, and an attempt is made to obtain a preset template, where the preset template includes 20 failure mode information in the target template, for example, 30 failure mode information in the preset template, and where 20 failure mode information is the same as 20 failure mode information in the target template.
After the preset template corresponding to the target template is obtained, an AP (Active Priority) value in the preset template is obtained and compared with a feature value in the target template, where the preset template may be an AP data table, and the AP value may be a plurality of sub-index values in the failure index values corresponding to each preset failure mode information. And comparing each sub-index value with the sub-characteristic value in the characteristic value corresponding to the failure mode information corresponding to the target template, thereby obtaining a failure risk result corresponding to each failure mode information.
For example, one piece of preset failure mode information in the preset template is that the cup height is smaller than 50cm, the severity is 7, the occurrence frequency is 1, the detection degree is 6, the corresponding piece of preset failure mode information in the target template is that the cup height is smaller than 50cm, the severity is 8, the occurrence frequency is 2, the detection degree is 4, the sub-characteristic value of the target template is compared with the corresponding sub-index value in the preset template, the failure mode information with the sub-characteristic value larger than the sub-index value can be judged to be a risk failure mode, and the failure mode information is judged to be a risk failure mode because the severity and the frequency of the cup height being smaller than 50cm are both higher than the corresponding sub-index value in the preset template. After each piece of failure mode information in the target template is matched, combining a plurality of matching results to obtain a failure risk judgment result of the target event.
Optionally, in the method for determining failure risk of an event provided by the embodiment of the present application, in a process of acquiring all failure mode information in the target template and acquiring a preset template including at least all failure mode information from the third database, if the preset template including at least all failure mode information cannot be acquired, alarm information is generated.
Specifically, when the preset template is obtained from the third database, when the preset template corresponding to the target template cannot be obtained, alarm information, such as popup information, is sent out to inform a user that the preset template cannot be obtained, a plurality of sub-feature values in the target template can be automatically calculated in a product mode, and a calculation result is compared with a corresponding preset RPN to obtain a comparison result.
Optionally, in the method for determining failure risk of event provided by the embodiment of the application, after a plurality of pieces of failure mode information are matched with the pieces of process information in the process template to obtain the target template, the method further comprises the steps of judging whether a matching result of each piece of process information and the matched failure mode information is correct, under the condition that the matching result is incorrect, obtaining the target process information and the target failure mode information corresponding to the matching result, deleting the target failure mode information, re-obtaining the failure mode information from the second database according to the target process information, and adding the obtained failure mode information into the target template to obtain the updated target template.
Specifically, after each failure mode information and the corresponding procedure of the failure mode information are matched and connected to generate a target template corresponding to a target event, whether the target template is correct or not is checked, when partial procedures in the target template and the failure mode information are checked to be matched with errors, the failure mode information of the matched errors is deleted, and whether the second database has the failure mode information corresponding to the matching error procedure of the target event or not is checked, when the corresponding failure mode information is still present, the failure mode information is acquired and matched with the procedures, and when the corresponding failure mode information is not present, the generation of the target template is completed.
When the corresponding failure mode information does not exist, new failure mode information can be manually added into the third database, and the new failure mode information is matched with the process template to obtain the target template.
Optionally, in the method for determining the failure risk of the event provided by the embodiment of the application, after determining the failure risk result of the target event according to the plurality of comparison results, the method further comprises the steps of determining that the failure risk exists when the failure risk result indicates that the target event exists, acquiring correction characteristic values corresponding to the steps of correcting the steps of having the failure risk, comparing each correction characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of updated comparison results, and determining the failure risk result of the target event according to the plurality of updated comparison results.
Specifically, after obtaining the failure risk result, determining the failure mode information corresponding to the failure risk process and the process according to the failure risk result, optimizing and changing the product design and the process design according to the failure mode information, and obtaining the correction characteristic value corresponding to each failure mode information after optimizing. And judging whether the corrected production mode has failure risk or not according to the corrected characteristic value in the target template.
Fig. 2 is a flowchart of an alternative method for determining failure risk of an event according to an embodiment of the present application, as shown in fig. 2, one or more keywords corresponding to a target event are input first, a process template corresponding to the keywords is obtained in a first database through the keywords, and all failure mode information corresponding to the keywords is obtained in a second database. And then matching the failure mode information with the process information in the process template to obtain a target template, and determining a failure index value corresponding to each failure mode information.
Further, the characteristic value of the target event is obtained, the characteristic value is calculated or compared by means of the RPN calculation or the AP data table comparison, so that the characteristic value is calculated or compared, a failure risk judgment result corresponding to the target event is obtained, whether the target event has a failure risk is judged according to the result, under the condition that the target event has the failure risk, the product design or the production mode is modified, the RPN calculation or the AP data table comparison is carried out again, a new failure risk judgment result is obtained, and under the condition that the new failure risk judgment result still has the failure risk, the product design and the modification of the production flow are carried out again, and the target template corresponding to the target event is regenerated again.
It should be noted that, under the condition that the modified production mode still has failure risk according to the modified feature value, the design and production of the product need to be optimized again, and a new target template needs to be created at the same time, and the new feature value after being optimized again is judged through the new target template, so as to obtain a new failure risk judgment result of the target event.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment of the application also provides a device for determining the failure risk of the event, and the device for determining the failure risk of the event can be used for executing the method for determining the failure risk of the event. The following describes a device for determining failure risk of an event provided by an embodiment of the present application.
Fig. 3 is a schematic diagram of a device for determining failure risk of an event according to an embodiment of the present application. As shown in fig. 3, the apparatus includes a first acquisition unit 10, a first matching unit 20, and a second acquisition unit 30.
A first obtaining unit 10, configured to obtain a process template corresponding to a target event, and a plurality of failure mode information corresponding to the target event, where the process template includes process information required for completing the target event, and the failure mode information is used to characterize failure phenomenon information corresponding to a process of the target event;
a first matching unit 20, configured to match the plurality of failure mode information with the process information in the process template, obtain a target template, and determine a failure index value corresponding to each failure mode information;
The second obtaining unit 30 is configured to obtain feature values corresponding to failure mode information matched by each process in the target event, compare each feature value with a failure index value corresponding to the failure mode information, obtain a plurality of comparison results, and determine a failure risk result of the target event according to the plurality of comparison results.
The determining device for failure risk of an event provided by the embodiment of the application is used for acquiring a process template corresponding to a target event and a plurality of pieces of failure mode information corresponding to the target event through a first acquiring unit 10, wherein the process template comprises process information required for completing the target event, the failure mode information is used for representing failure phenomenon information corresponding to a process of the target event, a first matching unit 20 is used for matching the plurality of pieces of failure mode information with the process information in the process template to obtain the target template and determining a failure index value corresponding to each piece of failure mode information, a second acquiring unit 30 is used for acquiring characteristic values corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining a failure risk result of the target event according to the plurality of comparison results. The problem that failure risks in the production process of products cannot be obtained rapidly and accurately in the related technology is solved. The template is automatically matched with the failure mode to generate a risk judging template, and the failure risk is judged in a mode of automatically calculating and comparing the characteristic value to obtain a failure risk result, so that the failure risk result in the production process of the product is rapidly and accurately obtained, and the product design and production mode are modified.
Optionally, in the determining device for failure risk of an event provided by the embodiment of the present application, the first obtaining unit 10 includes a first identifying module configured to identify a keyword of a target event, a first searching module configured to search a first database for a process template corresponding to the keyword, where the first database stores a plurality of process templates, each process template includes preset process information, and a second searching module configured to search a second database for failure mode information corresponding to the keyword, to obtain a plurality of failure mode information corresponding to the target event, where the second database stores a plurality of failure mode information.
Optionally, in the device for determining failure risk of an event provided in the embodiment of the present application, the second obtaining unit 30 includes a first calculating module, configured to multiply all sub-feature values in the same feature value to obtain a target feature value, and compare the target feature value with a failure index value corresponding to the feature value to obtain a comparison result.
Optionally, in the determining device for failure risk of an event provided in the embodiment of the present application, the first matching unit 20 includes a first obtaining module configured to obtain all failure mode information in the target template, and obtain a preset template including at least all failure mode information from a third database, to obtain a standard template, where the third database stores a plurality of preset templates, each preset template includes preset process information, preset failure mode information, and a failure index value corresponding to each preset failure mode information, each failure index value includes a plurality of sub-index values, the second obtaining module is configured to obtain failure index values corresponding to all failure mode information in the target template from the standard template, and the second obtaining unit 30 includes a first determining module configured to determine sub-index values of each sub-feature value in each feature value under the corresponding failure index value, compare each sub-feature value with the corresponding sub-index value, obtain a set of sub-comparison results, and determine the set of sub-comparison results as one comparison result.
Optionally, in the device for determining the failure risk of the event provided by the embodiment of the application, the device further comprises a first generating unit, which is used for generating alarm information under the condition that a preset template containing at least all failure mode information cannot be obtained.
Optionally, in the event failure risk determining device provided by the embodiment of the application, the device further comprises a first judging unit for judging whether the matching result of each procedure information and the matched failure mode information is correct or not, and a first deleting unit for acquiring the target procedure information and the target failure mode information corresponding to the matching result under the condition that the matching result is wrong, deleting the target failure mode information, re-acquiring the failure mode information from the second database according to the target procedure information, and adding the acquired failure mode information into the target template to obtain the updated target template.
Optionally, in the failure risk determining device for the event provided by the embodiment of the application, the device further comprises a first determining unit, a third obtaining unit and a second determining unit, wherein the first determining unit is used for determining a procedure with failure risk when the failure risk result indicates that the target event has the risk, the third obtaining unit is used for obtaining a corresponding correction characteristic value after correcting the procedure with the failure risk, and the second determining unit is used for comparing each correction characteristic value with a failure index value corresponding to failure mode information to obtain a plurality of updated comparison results and determining the failure risk result of the target event according to the plurality of updated comparison results.
The determining device for failure risk of the event includes a processor and a memory, the first acquiring unit 10, the first matching unit 20, the second acquiring unit 30, and the like are stored as program units in the memory, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one kernel, and the problem that failure risk in the production process of the product cannot be obtained rapidly and accurately in the related technology is solved by adjusting kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the application also provides a nonvolatile storage medium, which comprises a stored program, wherein the program is used for controlling equipment in which the nonvolatile storage medium is positioned to execute a method for determining the failure risk of an event when running.
The embodiment of the application also provides an electronic device, which comprises a processor and a memory, wherein the memory stores computer readable instructions, and the processor is used for running the computer readable instructions, and the computer readable instructions execute a method for determining the failure risk of an event when running. The electronic device herein may be a server, a PC, a PAD, a mobile phone, etc.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims (10)

1.一种事件的失效风险的确定方法,其特征在于,包括:1. A method for determining failure risk of an event, characterized by comprising: 获取目标事件对应的工序模板,以及所述目标事件对应多个失效模式信息,其中,所述工序模板包括完成所述目标事件所需的工序信息,所述失效模式信息用于表征所述目标事件的工序对应的失效现象信息;Acquire a process template corresponding to a target event, and multiple failure mode information corresponding to the target event, wherein the process template includes process information required to complete the target event, and the failure mode information is used to characterize failure phenomenon information corresponding to the process of the target event; 将所述多个失效模式信息与所述工序模板中的所述工序信息进行匹配,得到目标模板,并确定每个所述失效模式信息对应的失效指标值;Matching the plurality of failure mode information with the process information in the process template to obtain a target template, and determining a failure index value corresponding to each failure mode information; 获取所述目标事件中各个工序所匹配的所述失效模式信息对应的特征值,将每个所述特征值与所述失效模式信息对应的所述失效指标值进行对比,得到多个对比结果,并根据所述多个对比结果确定所述目标事件的失效风险结果;Obtaining a characteristic value corresponding to the failure mode information matched by each process in the target event, comparing each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determining a failure risk result of the target event according to the plurality of comparison results; 获取所述目标事件对应多个失效模式信息包括:识别所述目标事件的关键词;在第二数据库中查找与所述关键词对应的失效模式信息,得到所述目标事件对应多个失效模式信息,其中,所述第二数据库存储有多个失效模式信息;Acquiring the multiple failure mode information corresponding to the target event includes: identifying a keyword of the target event; searching for the failure mode information corresponding to the keyword in a second database to obtain the multiple failure mode information corresponding to the target event, wherein the second database stores the multiple failure mode information; 确定每个所述失效模式信息对应的失效指标值包括:获取所述目标模板中的所有失效模式信息,并从第三数据库中获取至少包含所述所有失效模式信息的预设模板,得到标准模板;所述第三数据库中存储有多个预设模板,每个预设模板中包括预设失效模式信息以及每个所述预设失效模式信息对应的失效指标值,每个所述失效指标值包括多个子指标值;从所述标准模板中获取所述目标模板中的所有失效模式信息对应的失效指标值。Determining the failure indicator value corresponding to each failure mode information includes: obtaining all failure mode information in the target template, and obtaining a preset template containing at least all the failure mode information from a third database to obtain a standard template; the third database stores multiple preset templates, each preset template includes preset failure mode information and a failure indicator value corresponding to each preset failure mode information, and each failure indicator value includes multiple sub-indicator values; obtaining the failure indicator values corresponding to all failure mode information in the target template from the standard template. 2.根据权利要求1所述的方法,其特征在于,所述获取目标事件对应的工序模板包括:2. The method according to claim 1, characterized in that the step of obtaining a process template corresponding to a target event comprises: 在第一数据库中查找与所述关键词对应的工序模板,其中,所述第一数据库存储有多个工序模板,每个工序模板中包含预设工序信息。A process template corresponding to the keyword is searched in a first database, wherein the first database stores a plurality of process templates, and each process template contains preset process information. 3.根据权利要求1所述的方法,其特征在于,每个所述特征值包括多个子特征值,将每个所述特征值与所述失效模式信息对应的所述失效指标值进行对比,得到多个对比结果包括:3. The method according to claim 1, wherein each of the characteristic values includes a plurality of sub-characteristic values, and each of the characteristic values is compared with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results including: 将同一个所述特征值中的所有的子特征值相乘,得到目标特征值,并将所述目标特征值与所述特征值对应的所述失效指标值进行对比,得到所述对比结果。All sub-eigenvalues in the same eigenvalue are multiplied to obtain a target eigenvalue, and the target eigenvalue is compared with the failure index value corresponding to the eigenvalue to obtain the comparison result. 4.根据权利要求1所述的方法,其特征在于:4. The method according to claim 1, characterized in that: 每个所述预设模板中还包括预设工序信息、每个所述特征值包括多个子特征值,将每个所述特征值与所述失效模式信息对应的所述失效指标值进行对比,得到多个对比结果包括:Each of the preset templates also includes preset process information, each of the characteristic values includes multiple sub-characteristic values, and each of the characteristic values is compared with the failure index value corresponding to the failure mode information to obtain multiple comparison results including: 确定每个所述特征值中的各个所述子特征值在对应的所述失效指标值下的子指标值,并将每个所述子特征值与对应的所述子指标值进行对比,得到一组子对比结果,并将一组子对比结果确定为一个所述对比结果。Determine the sub-indicator value of each sub-feature value in each of the feature values under the corresponding failure indicator value, and compare each of the sub-feature values with the corresponding sub-indicator value to obtain a group of sub-comparison results, and determine the group of sub-comparison results as one comparison result. 5.根据权利要求4所述的方法,其特征在于,在获取所述目标模板中的所有失效模式信息,并从第三数据库中获取至少包含所述所有失效模式信息的预设模板的过程中,若无法获取到至少包含所述所有失效模式信息的预设模板,生成告警信息。5. The method according to claim 4 is characterized in that, in the process of obtaining all failure mode information in the target template and obtaining a preset template containing at least all the failure mode information from a third database, if the preset template containing at least all the failure mode information cannot be obtained, an alarm information is generated. 6.根据权利要求2所述的方法,其特征在于,在将所述多个失效模式信息与所述工序模板中的所述工序信息进行匹配,得到目标模板之后,所述方法还包括:6. The method according to claim 2, characterized in that after matching the plurality of failure mode information with the process information in the process template to obtain a target template, the method further comprises: 判断每个所述工序信息与所匹配的所述失效模式信息的匹配结果是否正确;Determining whether a matching result between each of the process information and the matched failure mode information is correct; 在所述匹配结果错误的情况下,获取所述匹配结果对应的目标工序信息和目标失效模式信息,删除所述目标失效模式信息,并从所述第二数据库中根据所述目标工序信息重新获取失效模式信息,将获取到的所述失效模式信息添加至所述目标模板中,得到更新后的目标模板。In the case that the matching result is erroneous, the target process information and target failure mode information corresponding to the matching result are obtained, the target failure mode information is deleted, and the failure mode information is re-acquired from the second database according to the target process information, and the acquired failure mode information is added to the target template to obtain an updated target template. 7.根据权利要求1所述的方法,其特征在于,在根据所述多个对比结果确定所述目标事件的失效风险结果之后,所述方法还包括:7. The method according to claim 1, characterized in that after determining the failure risk result of the target event according to the multiple comparison results, the method further comprises: 在所述失效风险结果指示所述目标事件存在风险的情况下,确定存在失效风险的工序;When the failure risk result indicates that the target event has a risk, determining a process having a failure risk; 获取对所述存在失效风险的工序进行修正后对应的修正特征值;Obtaining a corrected characteristic value corresponding to the process with the risk of failure after correction; 将每个所述修正特征值与所述失效模式信息对应的所述失效指标值进行对比,得到多个更新后的对比结果,并根据所述多个更新后的对比结果确定所述目标事件的失效风险结果。Each of the corrected characteristic values is compared with the failure index value corresponding to the failure mode information to obtain a plurality of updated comparison results, and the failure risk result of the target event is determined according to the plurality of updated comparison results. 8.一种事件的失效风险的确定装置,其特征在于,包括:8. A device for determining failure risk of an event, comprising: 第一获取单元,用于获取目标事件对应的工序模板,以及所述目标事件对应多个失效模式信息,其中,所述工序模板包括完成所述目标事件所需的工序信息,所述失效模式信息用于表征所述目标事件的工序对应的失效现象信息;A first acquisition unit is used to acquire a process template corresponding to a target event and a plurality of failure mode information corresponding to the target event, wherein the process template includes process information required to complete the target event, and the failure mode information is used to characterize failure phenomenon information corresponding to the process of the target event; 第一匹配单元,用于将所述多个失效模式信息与所述工序模板中的所述工序信息进行匹配,得到目标模板,并确定每个所述失效模式信息对应的失效指标值;A first matching unit, configured to match the plurality of failure mode information with the process information in the process template to obtain a target template, and determine a failure index value corresponding to each failure mode information; 第二获取单元,用于获取所述目标事件中各个工序所匹配的所述失效模式信息对应的特征值,将每个所述特征值与所述失效模式信息对应的所述失效指标值进行对比,得到多个对比结果,并根据所述多个对比结果确定所述目标事件的失效风险结果;A second acquisition unit is used to acquire a characteristic value corresponding to the failure mode information matched by each process in the target event, compare each characteristic value with the failure index value corresponding to the failure mode information to obtain a plurality of comparison results, and determine a failure risk result of the target event according to the plurality of comparison results; 第一获取单元包括:第二查找模块,用于识别所述目标事件的关键词;在第二数据库中查找与所述关键词对应的失效模式信息,得到所述目标事件对应多个失效模式信息,其中,所述第二数据库存储有多个失效模式信息;The first acquisition unit includes: a second search module, which is used to identify the keyword of the target event; search the failure mode information corresponding to the keyword in the second database to obtain multiple failure mode information corresponding to the target event, wherein the second database stores multiple failure mode information; 第一匹配单元包括:第一获取模块,用于获取所述目标模板中的所有失效模式信息,并从第三数据库中获取至少包含所述所有失效模式信息的预设模板,得到标准模板;其中所述第三数据库中存储有多个预设模板,每个预设模板中包括预设失效模式信息以及每个所述预设失效模式信息对应的失效指标值,每个所述失效指标值包括多个子指标值;The first matching unit includes: a first acquisition module, which is used to acquire all failure mode information in the target template, and acquire a preset template containing at least all the failure mode information from a third database to obtain a standard template; wherein the third database stores a plurality of preset templates, each preset template includes preset failure mode information and a failure index value corresponding to each preset failure mode information, and each failure index value includes a plurality of sub-index values; 第一匹配单元还包括:第二获取模块,用于从所述标准模板中获取所述目标模板中的所有失效模式信息对应的失效指标值。The first matching unit further includes: a second acquisition module, configured to acquire, from the standard template, failure index values corresponding to all failure mode information in the target template. 9.一种非易失性存储介质,其特征在于,所非易失性存储介质包括存储的程序,其中,所述程序运行时控制所述非易失性存储介质所在的设备执行权利要求1至7中任意一项所述的事件的失效风险的确定方法。9. A non-volatile storage medium, characterized in that the non-volatile storage medium includes a stored program, wherein when the program is run, the device where the non-volatile storage medium is located is controlled to execute the method for determining the failure risk of an event described in any one of claims 1 to 7. 10.一种电子装置,其特征在于,包含处理器和存储器,所述存储器中存储有计算机可读指令,所述处理器用于运行所述计算机可读指令,其中,所述计算机可读指令运行时执行权利要求1至7中任意一项所述的事件的失效风险的确定方法。10. An electronic device, characterized in that it comprises a processor and a memory, wherein the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions, when executed, execute the method for determining the failure risk of an event described in any one of claims 1 to 7.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108873777A (en) * 2018-06-29 2018-11-23 北京航天自动控制研究所 A kind of ground test launch control system monitor supervision platform and monitoring method
CN111338876A (en) * 2020-02-14 2020-06-26 苏州凌云视界智能设备有限责任公司 Fault mode and influence analysis decision method, system and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200104953A1 (en) * 2017-12-20 2020-04-02 BSC Forensics, LLC System and Method for Generating Forensic Documents Using a Feedback Loop System with Field Data
CN110765770B (en) * 2019-09-04 2024-07-19 平安科技(深圳)有限公司 Automatic contract generation method and device

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108873777A (en) * 2018-06-29 2018-11-23 北京航天自动控制研究所 A kind of ground test launch control system monitor supervision platform and monitoring method
CN111338876A (en) * 2020-02-14 2020-06-26 苏州凌云视界智能设备有限责任公司 Fault mode and influence analysis decision method, system and storage medium

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