CN113239677B - Data processing method, device, electronic equipment and storage medium - Google Patents

Data processing method, device, electronic equipment and storage medium Download PDF

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CN113239677B
CN113239677B CN202110520648.1A CN202110520648A CN113239677B CN 113239677 B CN113239677 B CN 113239677B CN 202110520648 A CN202110520648 A CN 202110520648A CN 113239677 B CN113239677 B CN 113239677B
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target
attribute
initialization
data processing
library file
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CN113239677A (en
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袁劲涛
杨洸
郭富强
吴亚凯
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Beijing Hyperstrong Technology Co Ltd
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Beijing Hyperstrong Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/177Editing, e.g. inserting or deleting of tables; using ruled lines
    • G06F40/18Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/174Form filling; Merging

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Abstract

The embodiment of the application provides a data processing method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in a circuit to be detected, and the triggering operation is used for triggering tabular processing of related data corresponding to the electronic elements in the circuit to be detected; acquiring an attribute value of an electronic element corresponding to a target attribute name; and correspondingly filling the attribute value under the target attribute name of the first initialization table to generate a first target table. According to the embodiment of the application, the target table corresponding to the electronic element is automatically generated, so that the accuracy of safety analysis of the electronic product can be improved while the data processing efficiency is improved.

Description

Data processing method, device, electronic equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, a data processing device, an electronic device, and a storage medium.
Background
With the rapid development of electronic products, the safety requirements of people on the electronic products are higher and higher, and effective fault analysis on the electronic products is also required. The fault Mode influence and diagnosis analysis (FMEDA) is a novel fault analysis Mode based on the conventional fault Mode influence analysis (fault Mode EFFECT ANALYSIS, FMEA) technology, and the diagnosis analysis (Diagnostic Analysis, DA) is added. Because FMEDA can give quantitative evaluation to the diagnosis of fault modes on the basis of FMEA qualitative analysis, thereby calculating the safety index of the electronic product, the technology has become an indispensable analysis mode in the safety analysis work of the electronic product.
Currently, FMEDA is mainly performed by means of a table, which requires that related data of each electronic element in a circuit of an electronic product be analyzed and calculated item by item according to an analysis flow, and be filled in the table item by item. In the related art, the editing of the table is mainly completed manually, so that the efficiency is low; in addition, because mistakes are easy to make in the manual editing process, the accuracy of safety analysis of the electronic product can be reduced, and potential safety hazards are brought to the electronic product.
Disclosure of Invention
In view of the above, the present application provides a data processing method, apparatus, electronic device and storage medium, which are used for improving accuracy of security analysis of electronic products and reducing potential safety hazards of the electronic products.
In a first aspect, an embodiment of the present application provides a data processing method, where the data processing method includes:
Responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in a circuit to be detected, and the triggering operation is used for triggering tabular processing of related data corresponding to the electronic elements in the circuit to be detected; acquiring an attribute value of an electronic element corresponding to a target attribute name; and correspondingly filling the attribute value under the target attribute name of the first initialization table to generate a first target table.
In some embodiments, obtaining the attribute value of the electronic component corresponding to the target attribute name includes: in response to the triggering operation, linking a library file table, wherein the library file table contains relevant information of the electronic element, and the relevant information contains an attribute name and an attribute value corresponding to the attribute name; and reading the attribute value corresponding to the target attribute name in the library file table.
In some embodiments, reading the attribute value in the library file table corresponding to the target attribute name includes: matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology; and reading the attribute value of the target attribute name which is successfully matched in the library file table.
In some embodiments, the number of library file tables is at least one; a linked library file table comprising: at least one library file table is linked.
In some embodiments, the filling the attribute value correspondence under the target attribute name of the first initialization table, generating the first target table, includes: correspondingly filling the attribute value under the target attribute name of the first initialization table; and determining attribute values of target attribute names of the rest unfilled attribute values according to the filled attribute values, filling the attribute values to corresponding positions, and generating a first target table.
In some embodiments, the data processing method further comprises: responding to the triggering operation, and generating a second initialization table according to the triggering operation, wherein the second initialization table comprises evaluation indexes of the circuit; determining an index value corresponding to the evaluation index according to the target attribute name and the attribute value corresponding to the target attribute name in the first target table; and correspondingly filling the index value under the evaluation index of the second initialization table to generate a second target table.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
The processing module is used for responding to the triggering operation of a user and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in the circuit to be detected, and the triggering operation is used for triggering the tabular processing of related data corresponding to the electronic elements in the circuit to be detected;
The acquisition module is used for acquiring the attribute value of the target attribute name corresponding to the electronic element;
and the processing module is also used for correspondingly filling the attribute value under the target attribute name of the first initialization table to generate a first target table.
In some embodiments, the obtaining module is specifically configured to: in response to the triggering operation, linking a library file table, wherein the library file table contains relevant information of the electronic element, and the relevant information contains an attribute name and an attribute value corresponding to the attribute name; and reading the attribute value corresponding to the target attribute name in the library file table.
In some embodiments, the obtaining module is specifically configured to: matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology; and reading the attribute value of the target attribute name which is successfully matched in the library file table.
In some embodiments, the number of library file tables is at least one; a linked library file table comprising: at least one library file table is linked.
In some embodiments, the processing module is specifically configured to: correspondingly filling the attribute value under the target attribute name of the first initialization table; and determining attribute values of target attribute names of the rest unfilled attribute values according to the filled attribute values, filling the attribute values to corresponding positions, and generating a first target table.
In some embodiments, the processing module is further to: responding to the triggering operation, and generating a second initialization table according to the triggering operation, wherein the second initialization table comprises evaluation indexes of the circuit; determining an index value corresponding to the evaluation index according to the target attribute name and the attribute value corresponding to the target attribute name in the first target table; and correspondingly filling the index value under the evaluation index of the second initialization table to generate a second target table.
In a third aspect, an embodiment of the present application provides an electronic device, including: a memory and a processor;
The memory is used for storing program instructions;
The processor is arranged to invoke program instructions in the memory to perform the data processing method as in the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon; the computer program, when executed, implements a data processing method as in the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program which, when executed by a processor, implements a data processing method as in the first aspect.
The embodiment of the application provides a data processing method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in a circuit to be detected, and the triggering operation is used for triggering tabular processing of related data corresponding to the electronic elements in the circuit to be detected; acquiring an attribute value of an electronic element corresponding to a target attribute name; and correspondingly filling the attribute value under the target attribute name of the first initialization table to generate a first target table. According to the embodiment of the application, the target table corresponding to the electronic element is automatically generated, so that the accuracy of safety analysis of the electronic product can be improved while the data processing efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a diagram illustrating a scenario of a data processing method according to an embodiment of the present application;
FIG. 2 is a flow chart of a data processing method according to an embodiment of the application;
FIG. 3 is a flow chart of a data processing method according to another embodiment of the present application;
FIG. 4 is a flowchart of a data processing method according to another embodiment of the present application;
FIG. 5 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
It will be apparent that the described embodiments are some, but not all, of the embodiments of the application. All other embodiments, which can be made by those skilled in the art without undue burden from the application, are intended to be within the scope of the embodiments of the present application.
In the context of embodiments of the present application, the term "comprising" and its various variants may be understood as open-ended terms, which mean "including, but not limited to"; the term "based on" may be understood as "based at least in part on"; the term "one embodiment" may be understood as "at least one embodiment"; the term "another embodiment" may be understood as "at least one other embodiment". Other terms that may occur but are not mentioned herein should not be construed or limited in a manner contrary to the concepts upon which the embodiments of the application are based, unless explicitly stated. Note that in the following description, a "vehicle" may be used as an example of a vehicle. The scope of embodiments of the application is not limited in this regard and any vehicle capable of employing the charging system described herein is contemplated as falling within the scope of embodiments of the application.
In describing embodiments of the present application, it should be noted that, unless explicitly stated or limited otherwise, the terms "connected," "connected," and "coupled" should be construed broadly, for example, such that a fixed connection may be made, such as through intermediation between two elements or a connection between two elements or an interaction relationship between two elements. The specific meaning of the above terms in the embodiments of the present application can be understood by those of ordinary skill in the art according to specific circumstances.
The description includes reference to the accompanying drawings, which form a part of the detailed description. The drawings illustrate diagrams according to exemplary embodiments. These embodiments, which may also be referred to herein as "examples," are described in sufficient detail to enable those skilled in the art to practice the embodiments of the claimed subject matter described herein. Embodiments may be combined, other embodiments may be utilized, or structural, logical, and electrical changes may be made without departing from the scope and spirit of the claimed subject matter. It should be appreciated that the embodiments described herein are not intended to limit the scope of the subject matter, but rather to enable one skilled in the art to practice, make and/or use the subject matter.
At present, an FMEDA method is mainly adopted to perform effective fault analysis on electronic products, but the FMEDA method is mainly carried out by relying on a form, so that related data of all electronic elements in a circuit of the electronic products are required to be analyzed and calculated item by item according to an analysis flow, and the related data are filled in the form item by item. However, the above-mentioned process is mainly completed manually, and the efficiency is low; in addition, because mistakes are easy to make in the manual editing process, the accuracy of safety analysis of the electronic product can be reduced, and potential safety hazards are brought to the electronic product.
In view of the above, embodiments of the present application provide a data processing method, apparatus, device, and storage medium, which automatically generate a target table corresponding to an electronic element in a circuit to be detected, so as to improve accuracy of security analysis of an electronic product and reduce potential safety hazards of the electronic product.
For easy understanding, first, an application scenario of an embodiment of the present application will be described with reference to fig. 1:
Fig. 1 is a schematic diagram of a scenario of a data processing method according to an embodiment of the present application. As shown in fig. 1, the scenario includes: terminal equipment 101, circuit to be detected 102 and target table corresponding to the circuit to be detected 102. The circuit to be detected 102 may be any circuit in any electronic product, and each circuit to be detected 102 may include a plurality of electronic components (electronic component 1 and electronic component 2 … are shown as electronic component n in the figure).
In practical applications, the terminal device 101 may be any type of terminal, for example, a user device for machine type communication. The terminal device 101 may also be called a User Equipment (UE), a Mobile Station (MS), a mobile terminal (terminal), or the like, and examples of the terminal device may be a desktop computer, a notebook computer, a Personal Digital Assistant (PDA), a smart phone, a tablet computer, or the like. The present scenario is illustrated with a desktop computer as an example.
Specifically, when detecting the electronic components in the circuit 101 to be detected, an initialization table is first generated by the terminal device 101, then the attribute values of the electronic components in the circuit 101 to be detected are obtained, and finally the attribute values of each electronic component are filled into the initialization table to obtain a target table corresponding to the circuit 102 to be detected. The target table can be used for carrying out fault analysis on a circuit to be detected in the electronic product.
The following describes embodiments of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flow chart of a data processing method according to an embodiment of the application. The execution main body of the embodiment of the application can be the terminal equipment, and the data processing method specifically comprises the following steps:
S201, responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation.
The first initialization table comprises target attribute names of electronic elements, and the triggering operation is used for triggering the tabular processing of related data corresponding to the electronic elements in the circuit to be detected.
It should be understood that the method for triggering the operation by the user in the embodiment of the present application is not particularly limited, and the triggering operation may be implemented by triggering a corresponding data processing program by way of example. That is, a data processing program is run on the terminal device, and the user can generate a first initialization table corresponding to any circuit to be detected through triggering operation in the data processing program.
Specifically, a first initialization table may be generated according to a preset initialization table model, where the first initialization table includes a plurality of target attribute names, and the initialization table model and the circuits to be detected may be in a one-to-one correspondence relationship, that is, each circuit to be detected corresponds to one initialization table model.
In some embodiments, the target attribute name may include at least one of: serial number, model, failure rate, failure mode distribution ratio, safety mechanism, diagnosis coverage rate and residual failure rate of the safety mechanism and the like of the electronic element.
Correspondingly, the initialization table model for generating the first initialization table is: { "serial number", "model", "failure rate", "failure mode distribution ratio", "safety mechanism", "diagnostic coverage of safety mechanism", "residual failure rate" }, when the user performs a triggering operation, a first initialization table is generated according to the model, as shown in the following table:
The model 1 and the model 2 … are respectively the models of n electronic elements in the circuit to be detected. It should be understood that the above-mentioned first initialization table is exemplary, and in practical application, other types of tables are also possible, which will not be described herein.
S202, acquiring an attribute value of the electronic element corresponding to the target attribute name.
In this step, after the first initialization table is generated, attribute values corresponding to the target attribute names of the plurality of electronic components in the circuit to be detected are obtained. Accordingly, the attribute values for each electronic component may include: model, failure rate, failure mode distribution ratio, safety mechanism, diagnostic coverage of safety mechanism and residual failure rate.
The specific acquisition manner is described in the following embodiments, and is not described herein.
S203, correspondingly filling the attribute value under the target attribute name of the first initialization table, and generating a first target table.
In this step, the attribute value of each electronic component obtained in the above step is filled under the corresponding target attribute name in the first initialization table, thereby generating the first target table.
The embodiment of the application provides a data processing method, which can improve the accuracy of safety analysis of electronic products while improving the data processing efficiency by automatically generating a target table corresponding to an electronic element.
Fig. 3 is a flowchart of a data processing method according to another embodiment of the present application. The above embodiment of the present application will be described in more detail on the basis of fig. 2. Specifically, the data processing method provided by the embodiment of the application comprises the following steps:
s301, responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation.
It should be noted that, step S301 is similar to step S201 in the embodiment shown in fig. 2, and will not be described herein.
S302, responding to the triggering operation, and linking the library file table.
Wherein, link library file list includes: at least one library file table is linked.
In practical application, each library file table contains related information of the electronic element, wherein the related information contains an attribute name and an attribute value corresponding to the attribute name.
In some embodiments, the library file table may be: and the first attribute information table of the electronic component is used for storing the first attribute information of the electronic component. The first attribute information is, for example: the type, failure rate, failure mode distribution ratio, etc. of the electronic component.
One specific example of the first attribute information table of the electronic component is as follows:
s303, reading an attribute value corresponding to the target attribute name in the library file table.
Specifically, after the user performs the triggering operation, the method links to the library file table, and reads the attribute value corresponding to the target attribute name of each electronic element in the library file table according to the target attribute name in the first initialization table.
In practical applications, there are various ways to read the attribute value corresponding to the target attribute name in the library file table. For example, the identification reading can be performed through a semantic automatic identification technology, specifically, the attribute value corresponding to the target attribute name in the library file table is read through the semantic automatic identification technology, and specifically, the method comprises the following steps:
1) And matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology.
2) And reading the attribute value of the target attribute name of the successfully matched electronic element in the library file table.
Taking the first attribute information table of the electronic component as an example, the above steps specifically include: and reading the model of each electronic element in the first initialization table, and searching the corresponding electronic element model in the related information table according to the semantic automatic identification technology so as to realize matching of the target attribute name in the first initialization table in the related information table. Taking an electronic element of model 1 as an example, if the model 1 is determined to be an "RS05K3300FT" model according to the semantic automatic identification technology, searching the electronic element corresponding to the model "RS05K3300FT" in a first attribute information table of the electronic element according to the semantic automatic identification technology.
Further, the attribute values of all the target attribute names of the electronic components are read, for example, the types of the electronic components with the model number RS05K3300FT are as follows: the conventional back diaphragm type resistor is pasted on the surface, and the failure rate is as follows: 0.283, the failure mode of which is: open circuit, its failure mode is the proportion respectively: 60%.
S304, correspondingly filling the attribute value under the target attribute name of the first initialization table.
In this step, the read attribute value of the target attribute name of the electronic component is filled under the target attribute name of the first initialization table, and the component type, failure rate, failure mode and failure mode distribution ratio of the electronic component with the model RS05K3300FT are respectively filled under the corresponding target attribute name in the first initialization table, so as to generate the following table:
S305, determining attribute values of target attribute names of other unfilled attribute values according to the filled attribute values, filling the attribute values to corresponding positions, and generating a first target table.
In practical application, the present step may include the following two ways:
(1) And acquiring the attribute values of the target attribute names of the rest unfilled attribute values of the electronic components from other library file tables.
(2) And determining the attribute values of the other target attribute names without filling the attribute values according to the attribute values of the target attribute names of the filled-in filling attribute values.
In the embodiment (1), the attribute values of the target attribute names of the remaining unfilled attribute values of the electronic component may be acquired from the other library file table according to the steps in steps S302 to S304.
Illustratively, the library file table may further include: a first attribute information table of the electronic component.
In some embodiments, the second attribute information table is, for example, a security mechanism table of the electronic component. The security mechanism table is used for storing security mechanism information of the electronic component, for example: numbering, security mechanism description, diagnostic coverage, etc.
One example of a secure mechanical table for electronic components is as follows:
Numbering device Security mechanism description Diagnostic coverage (%)
SM001 Open circuit detection 90
SM002 Short circuit detection 90
SM003 Parameter drift detection 99
Further, according to the semantic automatic identification technology, the attribute value of the successfully matched target attribute name in the security mechanism table is read from the target attribute name in the first initialization table matched in the security mechanism table, and the attribute value is filled under the target attribute name of the unfilled attribute value in the first initialization table.
Specifically, determining the failure mode keywords of each electronic element in the first initialization table, and searching the corresponding keywords in the safety mechanism description of the safety mechanism table according to the semantic automatic identification technology so as to realize matching of the target attribute names in the first initialization table in the safety mechanism table.
The method includes the steps of determining that a failure mode keyword of a certain electronic element in a first initialization table is an open circuit, searching a safety mechanism description corresponding to the open circuit in a safety mechanism description of a safety mechanism table according to a semantic automatic identification technology, reading a number and a diagnosis coverage rate corresponding to the safety mechanism description, and finally filling read data into a table corresponding to the safety mechanism and the diagnosis coverage rate of the safety mechanism in the first initialization table to generate a table shown as follows:
In some embodiments, for mode (2), the attribute values of the target attribute names of other unfilled attribute values may also be determined from the attribute values of the target attribute names of the filled attribute values.
For example, for the residual failure rate, the residual failure rate of each electronic component can be calculated by the following formula:
Residual failure rate = failure rate x failure mode distribution ratio x (1-diagnostic coverage)
The model is as follows: for example, the electronic component of RS05K3300FT can be obtained according to the above formula, where the residual failure rate under the open circuit condition is: 0.01698, the residual failure rate in the event of a short circuit is 0.001132.
Further, the attribute values of the residual failure rate are automatically filled in the corresponding positions of the tables, so that a first target table shown in the following table is generated:
In the embodiment of the application, the attribute values corresponding to the target attribute names in the library file table can be automatically read through linking the library file table, so that the attribute values of all the electronic elements are rapidly obtained, the table generation rate is improved, and the efficiency of safety analysis of electronic products is further improved. In addition, the attribute values of the electronic elements can be accurately obtained through the semantic automatic identification technology, and further the accuracy of safety analysis of the electronic products can be improved.
In some embodiments, after the first target table is acquired, the data in the first target table may be further analyzed, so as to obtain analysis data, which is used as reference data for subsequent circuit security analysis.
The following describes the scheme in detail with reference to fig. 4:
Fig. 4 is a flowchart of a data processing method according to another embodiment of the present application. As shown in fig. 4, the data processing method provided by the embodiment of the application includes the following steps:
s401, responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation.
The first initialization table comprises target attribute names of electronic elements, and the triggering operation is used for triggering the tabular processing of related data corresponding to the electronic elements in the circuit to be detected;
s402, acquiring an attribute value of a target attribute name corresponding to the electronic element;
s403, correspondingly filling the attribute value under the target attribute name of the first initialization table, and generating a first target table.
It should be noted that, steps S401 to S403 are similar to the schemes in the embodiments shown in fig. 2 and 3, and are not repeated here.
S404, responding to the triggering operation, and generating a second initialization table according to the triggering operation.
Similar to the first initialization table, when the user triggers a data processing process on a certain circuit to be detected, a second initialization table may be generated according to a preset initialization table model, where the second initialization table includes an evaluation index of the circuit, and for an evaluation index category of the circuit, it may be determined according to a fault analysis type, and the embodiment of the present application is not limited specifically. Illustratively, the evaluation index of the circuit may include at least one of: circuit overall failure rate, circuit residual failure rate, circuit overall diagnostic coverage, etc.
Correspondingly, the initialization tabular model is as follows: "Circuit Overall failure rate", "Circuit residual failure rate", "Circuit Overall diagnostic coverage"
Further, according to the above-described initialization table model, a second initialization table may be generated as shown in the following table:
Circuit general failure rate (10-9/h)
Circuit residual failure rate (10-9/h)
Circuit overall diagnostic coverage (%)
S405, determining an index value corresponding to the evaluation index according to the target attribute name and the attribute value corresponding to the target attribute name in the first target table.
In some implementations, the overall failure rate of the circuit in the second target table may be: the sum of failure rates of all electronic elements in the circuit to be detected; the circuit residual failure rate in the second target table may be: the sum of the residual failure rates of all electronic components in the circuit to be tested.
In addition, for the overall diagnostic coverage of the circuit, it can be derived from the following equation:
Circuit overall diagnostic coverage= (1-circuit residual failure rate/circuit overall failure rate) ×100%
S406, correspondingly filling the index value into the evaluation index of the second initialization table to generate a second target table.
In this step, the calculation result in step S405 is filled into the second initialization table to generate a second target table as shown below:
Circuit general failure rate (10-9/h) 7.752
Circuit residual failure rate (10-9/h) 0.113
Circuit overall diagnostic coverage (%) 98.54
It should be noted that the values of the second target table are exemplary, and in practical applications, the values of different circuits to be detected are different.
In the scheme, after the first target table is generated, the second target table can be automatically generated according to the attribute values in the first target table, so that data reference is provided for subsequent circuit fault analysis, and the efficiency of the circuit fault analysis is further improved.
Fig. 5 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 5, the data processing apparatus includes:
The processing module 501 is configured to generate a first initialization table according to a triggering operation of a user, where the first initialization table includes a target attribute name of an electronic element in a circuit to be detected, and the triggering operation is used to trigger tabular processing of related data corresponding to the electronic element in the circuit to be detected;
An obtaining module 502, configured to obtain an attribute value of an electronic element corresponding to a target attribute name;
The processing module 501 is further configured to fill the attribute value into the target attribute name of the first initialization table correspondingly, and generate a first target table.
In some embodiments, the obtaining module 502 is specifically configured to: in response to the triggering operation, linking a library file table, wherein the library file table contains relevant information of the electronic element, and the relevant information contains an attribute name and an attribute value corresponding to the attribute name; and reading the attribute value corresponding to the target attribute name in the library file table.
In some embodiments, the obtaining module 502 is specifically configured to: matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology; and reading the attribute value of the target attribute name which is successfully matched in the library file table.
In some embodiments, the number of library file tables is at least one; a linked library file table comprising: at least one library file table is linked.
In some embodiments, the processing module 501 is specifically configured to: correspondingly filling the attribute value under the target attribute name of the first initialization table; and determining attribute values of target attribute names of the rest unfilled attribute values according to the filled attribute values, filling the attribute values to corresponding positions, and generating a first target table.
In some embodiments, the processing module 501 is further configured to: responding to the triggering operation, and generating a second initialization table according to the triggering operation, wherein the second initialization table comprises evaluation indexes of the circuit; determining an index value corresponding to the evaluation index according to the target attribute name and the attribute value corresponding to the target attribute name in the first target table; and correspondingly filling the index value under the evaluation index of the second initialization table to generate a second target table.
It can be understood that the data processing apparatus provided in this embodiment may be used to execute the technical scheme of any one of the above-mentioned data processing method embodiments, and its implementation principle and technical effects are similar, and specific reference may be made to the above-mentioned method embodiments, which are not repeated here.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the application. As shown in fig. 6, the electronic device 600 of the present embodiment may be the terminal device (or a component usable for the terminal device) mentioned in the foregoing method embodiment. The electronic device 600 may be used to implement the method described in the above method embodiments corresponding to the terminal device, see in particular the description in the above method embodiments.
The electronic device 600 may comprise one or more processors 601, which processors 601 may also be referred to as processing units, may implement certain control or processing functions. The processor 601 may be a general purpose processor or a special purpose processor or the like. For example, a baseband processor, or a central processing unit. The baseband processor may be used to process data, and the central processor may be used to control the electronic device 600, execute software programs, and process data for the software programs.
In one possible design, processor 601 may also hold instructions 603 or data (e.g., test parameters). Wherein the instructions 603 may be executable by the processor 601 to cause the electronic device 600 to perform the data processing method corresponding to the terminal device described in the above method embodiments.
In yet another possible design, electronic device 600 may include circuitry that may implement the functions of transmitting or receiving or communicating in the foregoing method embodiments.
In one possible implementation, the electronic device 600 may include one or more memories 602 on which instructions 604 may be stored that are executable on the processor 601 to cause the electronic device 600 to perform the data processing methods described in the method embodiments above.
In one possible implementation, the memory 602 may also have data stored therein. The processor 601 and the memory 602 may be provided separately or may be integrated.
In one possible implementation, the electronic device 600 may also include a transceiver 605 and/or an antenna 606. The processor 601 may be referred to as a processing unit, controlling the electronic device 600. The transceiver 605 may be referred to as a transceiver unit, a transceiver circuit, a transceiver, or the like, for implementing the transceiver function of the electronic device 600.
The specific implementation of the processor 601 and the transceiver 605 may be referred to the related descriptions of the above embodiments, which are not repeated herein.
The processor 601 and transceiver 605 described in the present application may be implemented on an integrated circuit (INTEGRATED CIRCUIT, IC), analog IC, radio frequency integrated circuit (radio frequency integrated circuit, RFIC), mixed signal IC, application SPECIFIC INTEGRATED Circuit (ASIC), printed circuit board (printed circuit board, PCB), electronic device, or the like.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 6 is not limiting of the present electronic device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
It should be noted that, the electronic device provided by the present application is configured to implement the data processing method described in the method embodiment, and achieve the same technical effects, and specific details of the same parts and beneficial effects as those of the method embodiment in the present embodiment are not described herein.
The embodiment of the present application also provides a computer-readable storage medium, which when executed by a processor of a terminal device, enables the processor to perform the data processing method in the above method embodiment.
The embodiment of the application also provides a computer program product, which comprises a computer program, and when the computer program is executed by a processor, the data processing method in the embodiment of the method is realized.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform part of the steps of the methods of the embodiments of the application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random AccessMemory, RAM), magnetic disk or optical disk, etc.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosed embodiments. The embodiments of the present application are intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (7)

1. A data processing method, characterized in that the data processing method comprises:
Responding to a triggering operation of a user, and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in a circuit to be detected, and the triggering operation is used for triggering the related data corresponding to the electronic elements in the circuit to be detected to perform tabular processing;
Responding to the triggering operation, and linking a library file table, wherein the library file table contains related information of the electronic element, and the related information contains an attribute name and an attribute value corresponding to the attribute name;
Matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology;
reading attribute values of the target attribute names which are successfully matched in the library file table;
correspondingly filling the attribute value under the target attribute name of the first initialization table to generate a first target table;
Responding to the triggering operation, and generating a second initialization table according to the triggering operation, wherein the second initialization table comprises evaluation indexes of the circuit;
determining an index value corresponding to the evaluation index according to a target attribute name in the first target table and an attribute value corresponding to the target attribute name;
And correspondingly filling the index value into the evaluation index of the second initialization table to generate a second target table.
2. The data processing method according to claim 1, wherein the number of the library file tables is at least one;
the link library file table comprises: linking the at least one library file table.
3. The method of claim 1, wherein the generating the first target table by correspondingly populating the attribute value under the target attribute name of the first initialization table comprises:
correspondingly filling the attribute value under the target attribute name of the first initialization table;
And determining attribute values of target attribute names of the rest unfilled attribute values according to the filled attribute values, filling the attribute values to corresponding positions, and generating a first target table.
4. A data processing apparatus, characterized in that the data processing apparatus comprises:
The processing module is used for responding to the triggering operation of a user, and generating a first initialization table according to the triggering operation, wherein the first initialization table comprises target attribute names of electronic elements in a circuit to be detected, and the triggering operation is used for triggering tabular processing of related data corresponding to the electronic elements in the circuit to be detected;
the acquisition module is used for acquiring the attribute value of the electronic element corresponding to the target attribute name;
The processing module is further configured to correspondingly fill the attribute value under a target attribute name of the first initialization table, and generate a first target table;
The acquisition module is specifically configured to respond to the triggering operation, and link a library file table, where the library file table includes related information of the electronic component, and the related information includes an attribute name and an attribute value corresponding to the attribute name; matching the target attribute names in the first initialization table in the library file table through a semantic automatic identification technology; reading attribute values of the target attribute names which are successfully matched in the library file table;
The processing module is further configured to generate a second initialization table according to the trigger operation in response to the trigger operation, where the second initialization table includes an evaluation index of the circuit; determining an index value corresponding to the evaluation index according to a target attribute name in the first target table and an attribute value corresponding to the target attribute name; and correspondingly filling the index value into the evaluation index of the second initialization table to generate a second target table.
5. An electronic device, comprising: a memory and a processor;
the memory is used for storing program instructions;
the processor is configured to invoke program instructions in the memory to perform a data processing method according to any of claims 1 to 3.
6. A computer readable storage medium having a computer program stored thereon; the computer program, when executed, implements a data processing method as claimed in any one of claims 1 to 3.
7. A computer program product comprising a computer program which, when executed by a processor, implements a data processing method as claimed in any one of claims 1 to 3.
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CN110851665A (en) * 2019-11-12 2020-02-28 上海元城汽车技术有限公司 Calibration information extraction method and device, electronic equipment and storage medium
CN110874324A (en) * 2019-10-14 2020-03-10 平安普惠企业管理有限公司 Test result data storage method and device, terminal equipment and storage medium

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