Method for forming audit information of single vehicle configuration data of ebom, storage medium and computer device

Abstract

The application provides an EBOM single vehicle configuration data auditing information forming method, comprising the following steps: (1) obtaining an engineering configuration table EBOM of a single vehicle model; (2) extracting feature values in the engineering configuration table EBOM, and classifying the feature values to corresponding feature families; (3) counting auditing values of each feature family, and determining auditing feature clusters needing auditing; and (4) forming an auditing information string of the corresponding vehicle model based on the auditing feature clusters. The engineering configuration table EBOM of the corresponding vehicle model is automatically obtained to obtain the information string of components and parts prone to errors of the corresponding vehicle model, and the components and parts prone to errors and important are preferentially displayed, so that relevant personnel can perform focused processing, and the data auditing amount of the relevant personnel is greatly reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of EBOM management, and provides an EBOM single-vehicle configuration data audit information forming method, a storage medium and a computer device. BACKGROUND

[0002] BOM refers to a file in a data format to describe product structure, is product structure data file that can be recognized by a computer, and is a link for enterprises to communicate various businesses;

[0003] When materials are managed, single-vehicle BOM lists are formed by collating and extracting configuration table information, and each single-vehicle part information embodied by the single-vehicle BOM lists embodies functional differences between different vehicle models or functional differences of different configurations of the same vehicle model.

[0004] Currently, the related art is to manually count error-prone parts of each vehicle model, and send the error-prone parts to a factory for vehicle production through an email. This configuration method has problems such as huge workload, non-standard process, and easy errors. If such problems occur, not only the quality of the product is affected, but also the delivery time and reputation of the product are affected. SUMMARY

[0005] In view of this, the present application provides an EBOM single-vehicle configuration data acquisition method, which specifically includes the following technical solutions:

[0006] On the one hand, the present application provides an EBOM single-vehicle configuration data audit information forming method, which includes the following steps:

[0007] (1) Obtain an engineering configuration table EBOM of a single vehicle model;

[0008] (2) Extract feature values in the engineering configuration table EBOM, and classify the feature values into corresponding feature families;

[0009] (3) Count audit values of each feature family, and determine audit feature clusters that need to be audited;

[0010] (4) Form an audit information string of the corresponding vehicle model based on the audit feature clusters.

[0011] In some embodiments of the present application, the classification method of the feature values is specifically as follows:

[0012] Extract feature family codes from the feature codes of the feature values, and classify the feature codes with the same feature family codes into a group. Mark the corresponding group as a feature family corresponding to the feature family code, and complete the classification of all feature values in the engineering configuration EBOM table.

[0013] In some embodiments of the present application, the audit value of a feature cluster is detected. If the result is yes, the corresponding feature cluster is marked as an audit feature cluster.

[0014] In some embodiments of the present application, the sum of the audit values of all feature values in a feature cluster constitutes the audit value of the corresponding feature cluster.

[0015] In some embodiments of the present application, the audit value of a feature value is determined as follows:

[0016] (31) The error times of each feature value corresponding to the parts in the production stage and design stage are counted;

[0017] (32) The influence factor of each feature value is determined;

[0018] (33) The product of the error times of a feature value and the influence factor constitutes the audit value of the corresponding feature value.

[0019] In some embodiments of the present application, the formation process of the audit information string of a vehicle model is as follows:

[0020] The information string of each feature cluster is formed;

[0021] The information strings of the audit feature clusters are arranged in order of the audit values from large to small, and a feature cluster separator is inserted between the information strings of adjacent audit feature clusters to form the audit information string of the corresponding vehicle model.

[0022] In some embodiments of the present application, the formation process of the information string of a feature cluster is as follows:

[0023] The feature values in a feature cluster are arranged in order of the audit values from large to small, and a feature value separator is inserted between adjacent feature values to form the information string of the corresponding feature cluster.

[0024] In some embodiments of the present application, if all audit feature clusters need to be output equally, the formation method of the audit information string of a vehicle model is as follows:

[0025] (41) All audit feature clusters are arranged in order of the audit values from large to small;

[0026] (42) The feature values in each audit feature cluster are arranged in order of the audit values from large to small;

[0027] (43) The ith feature value is extracted from each audit feature cluster in turn, and a feature value separator is inserted between adjacent ith feature values to form a sub-information string;

[0028] (43) A sub-information string separator is inserted between adjacent sub-information strings to form the audit information string of the corresponding vehicle model.

[0029] In another aspect, a storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for forming audit information of single-vehicle configuration data for an EBOM as described above.

[0030] In another aspect, a computer device includes a processor and a storage medium storing program code, which, when executed by the processor, implements the steps of the method for forming audit information of single-vehicle configuration data for an EBOM as described above.

[0031] The present application automatically acquires information strings of components and parts prone to errors for a corresponding vehicle model from an engineering configuration table EBOM for the corresponding vehicle model, and preferentially displays components and parts prone to errors and important, facilitating relevant personnel to focus on processing, and greatly reducing the data auditing amount of the relevant personnel. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0033] Figure 1 The flowchart of the method for forming audit information of single-vehicle configuration data for an EBOM provided by the embodiments of the present application;

[0034] The above drawings have shown the specific embodiments of the present application, and the following will have a more detailed description. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be described clearly and completely in the following by combining the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort fall within the scope of protection of the present application.

[0036] Unless otherwise defined, all the technical terms used in the embodiments of the present application have the same meanings as generally understood by those skilled in the art.

[0037] Figure 1 The flowchart of the method for forming audit information of single-vehicle configuration data for an EBOM provided by the embodiments of the present application, which includes the following steps:

[0038] (1) Obtain the engineering bill of materials EBOM of a single vehicle model;

[0039] In the embodiment of the present application, the single vehicle model refers to a single vehicle model, which can also be understood as a single vehicle model, and is not a series of vehicle models. The engineering bill of materials EBOM records all characteristic values of the vehicle of the vehicle model, and each characteristic value corresponds to a part.

[0040] The present application divides the entire vehicle into several components, each component corresponding to a characteristic cluster. The characteristic family includes: powertrain model, version, interior style, exterior style. Of course, the characteristic group can also be further subdivided according to needs. Among them, the version includes: basic version, high-end version. For example, the engineering bill of materials EBOM of a certain vehicle model is: A13TFL2CBU (vehicle model code) - SQRE3T10 (powertrain model) + 018CHA luxury version (version) + black interior (interior style) natural color Mexico - mix (exterior style).

[0041] Each characteristic value in the engineering bill of materials EBOM has a characteristic code. The specified bit in the characteristic code is the characteristic cluster code of the characteristic cluster to which the characteristic value belongs. Generally, the first bit or the first few bits of the characteristic code are used as the characteristic cluster code.

[0042] (2) Extract the characteristic values in the engineering bill of materials EBOM and classify the characteristic values into corresponding characteristic families;

[0043] In the embodiment of the present application, each characteristic value in the engineering bill of materials EBOM is identified by a characteristic code, and each characteristic code is generated based on a set coding rule. Therefore, by setting the extraction condition using the coding rule, the characteristic values can be screened to facilitate subsequent classification into different characteristic clusters.

[0044] Extract the characteristic family code from the characteristic code, and group the characteristic codes with the same characteristic family code. Mark the corresponding group as the characteristic family corresponding to the characteristic family code, and complete the classification of all characteristic values in the engineering bill of materials EBOM.

[0045] Each characteristic family contains at least one characteristic value, that is, the characteristic family is composed of at least one characteristic value. For example, the characteristic family (component) is the body-in-white, and the corresponding characteristic value (part) is the frame, the left front door, the left rear door, the right front door, the right rear door, and the rear door.

[0046] (3) Count the audit values of each characteristic family to determine the audit characteristic cluster that needs to be audited;

[0047] In the embodiment of the present application, the marking information is set for each feature value in the engineering configuration table EBOM, the marking information is used for marking the audit value of the corresponding feature value, the sum of the audit values of all feature values in the feature cluster is the audit value of the feature cluster, whether the audit value of the feature cluster is greater than the set audit threshold value is detected, if the detection result is yes, the corresponding feature cluster is marked as an audit feature cluster, if the detection result is no, the corresponding feature cluster is a normal information cluster, and subsequent audit is not required.

[0048] In the embodiment of the present application, the audit value determination method of the feature value is specifically as follows:

[0049] (31) The error times of each feature value corresponding to the parts in the production stage and the design stage are counted, the production line error reporting data, the after-sales error reporting data and the error reporting data of the design engineers are collected, and the error times are counted based on the above error reporting data;

[0050] (32) The influence factor of each feature value is determined, and an influence factor is given based on the degree of the feature value error to the economy, the construction period and the social influence;

[0051] (33) The product of the error times of the feature value and the influence factor constitutes the audit value of the corresponding feature value.

[0052] (4) The audit information string of the corresponding vehicle model is formed based on the audit feature cluster.

[0053] In the embodiment of the present application, the larger the audit value of the feature cluster is, the greater the error possibility of the feature cluster is and the greater the influence of the error of the feature cluster is. After an information string of each feature cluster is formed, the information strings of the adjacent audit feature clusters are arranged in order of the audit value from large to small, and the feature cluster separator is inserted between the information strings of the audit feature clusters, thereby forming the audit information string of the vehicle model. Therefore, the information string corresponding to the feature cluster with the larger audit value is arranged in front of the audit information string, which can attract more attention of the user and reduce the error probability.

[0054] When the information string of each feature cluster is formed, the position of the feature value in the information string is determined based on the audit value of each feature value in the corresponding feature cluster. The larger the audit value of the feature value is, the greater the error possibility of the feature value is and the greater the influence of the error of the feature value is. Therefore, the feature values are arranged in order of the audit value from large to small, and the feature value separator is inserted between the adjacent feature values, thereby forming the information string of the corresponding feature cluster.

[0055] Each feature family has a unique feature family code, for example, A, B, C, etc., and each feature value in the feature family also has a unique feature code, for example, there are n feature values in the feature cluster A and m feature values in the feature cluster B, Bx1, Bx2, Ax3,..., Bxm.

[0056] If only the feature cluster A is marked as the audit feature cluster, at this time, the feature values in the feature cluster A are arranged in descending order of the audit values as Ax1, Ax2, Ax3,..., Axn; the information string of the feature cluster A is Ax1 and Ax2 and Ax3 and..., Axn, wherein and is used as the feature value separator.

[0057] If the feature cluster A and the feature cluster B are marked as the audit feature cluster, it is assumed that the audit value of the feature cluster A is greater than the audit value of the feature cluster B, the information string of the feature cluster A is Ax1 and Ax2 and Ax3 and..., Axn, if the information string of the feature cluster B is By1 and By2 and By3 and..., Bym, the audit information string of the vehicle model is:

[0058] (Ax1 and Ax2 and Ax3 and..., Axn)(By1 and By2 and By3 and..., Bym), wherein () is the feature cluster separator.

[0059] It should be noted that, in order to reduce the feature values of the audit information string of the vehicle model as much as possible, the application only uses the feature values with high audit values in the feature cluster to form the information string of the feature cluster, therefore, before forming the information string of each feature cluster, the feature values with low audit values in the feature cluster are deleted from the feature cluster, only the feature values with high audit values are reserved, and the information string of the feature cluster is formed based on these feature values. Of course, the information string of the feature cluster can also be formed based on all the feature values in the feature cluster, and the feature values with low audit values are hidden, and when the set audit value is adjusted as needed, only the hidden feature values in each audit feature cluster need to be updated, which greatly simplifies the operation program.

[0060] In the embodiment of the application, if all the audit feature clusters need to be output equally, at this time, the forming method of the audit information string of the vehicle model is as follows:

[0061] (41) all the audit feature clusters are arranged in descending order of the audit values;

[0062] (42) the feature values in each audit feature cluster are arranged in descending order of the audit values;

[0063] (43) the ith feature value is extracted from each audit feature cluster in turn, and a feature value separator is inserted between adjacent ith feature values to form a sub-information string;

[0064] (43) inserting a sub-information string separator between adjacent sub-information strings to form an audit information string corresponding to the vehicle model, in the embodiment of the present application, the sub-information string separator can be the same as the feature cluster separator, or can be different from the feature cluster separator, the forming process of the audit string of the vehicle model is described based on the following examples, which adopts the same information string separator as the feature cluster separator, and the specific description is as follows:

[0065] If the feature cluster A and the feature cluster B are marked as audit feature clusters, the feature cluster A and the feature cluster B are output equally, the information string of the feature cluster A is Ax1 and Ax2 and Ax3 and …… Axn, and if the information string of the feature cluster B is By1 and By2 and By3 and …… By m, m > n;

[0066] If the audit value of the feature cluster A is greater than the audit value of the feature cluster B, the audit information string of the vehicle model is (Ax1 and By1) and (Ax2 and By2) and …… (Ax n and By n) (By n+1) …… (By m);

[0067] If the audit value of the feature cluster A is less than the audit value of the feature cluster B, the audit information string of the vehicle model is (By1 and Ax1) and (By2 and Ax2) and …… (By n and Ax n) (By n+1) …… (By m).

[0068] Based on the above steps (1) to (4), the audit string of each vehicle model is formed, and the audit string corresponding to the vehicle model is sent to the related production workshop of the corresponding vehicle model, which is mainly used for displaying the key parts and components prone to errors during the production of the vehicle model, of course, the audit string of each component can also be generated according to the need, which is mainly used for displaying the key parts prone to errors during the production of the component.

[0069] The present application automatically obtains the information string of the components and parts prone to errors of the corresponding vehicle model from the corresponding engineering bill of materials EBOM, and preferentially displays the components and parts prone to errors and important, which facilitates the relevant personnel to focus on processing, and greatly reduces the data audit amount of the relevant personnel.

[0070] The embodiment of the present application also provides a storage medium storing a computer program, and the computer program is executed by a processor to realize the steps of the EBOM single vehicle configuration data audit information forming method.

[0071] The embodiment of the present application provides a computer device, which comprises a processor and a storage medium storing program code, and the program code is executed by the processor to realize the steps of the EBOM single vehicle configuration data audit information forming method.

[0072] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the application cover any and all variations of the application that come within the scope of the general concept of the application and that the specification and examples be considered exemplary only. It is further understood that the application is not limited to the particular combinations of elements or steps described herein.

[0073] It should be understood that the application is not limited to the precise construction hereinafter described and as shown in the attached drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

Claims

1. An audit information forming method for single-vehicle configuration data of an EBOM, characterized by, The method comprises the following steps: (1) obtaining an engineering bill of materials (EBOM) of a single vehicle model; (2) extracting feature values in the EBOM and classifying the feature values into corresponding feature families; (3) counting audit values of each feature family to determine audit feature clusters that need to be audited; (4) forming an audit information string of the corresponding vehicle model based on the audit feature clusters; The sum of the audit values of all feature values in a feature cluster constitutes the audit value of the corresponding feature cluster. The audit value of a feature value is determined as follows: (31) counting the number of errors of each feature value corresponding to a component in the production stage and the design stage; (32) determining an influence factor of each feature value; (33) the product of the error number of a feature value and the influence factor constitutes the audit value of the corresponding feature value. The formation process of the audit information string of a vehicle model is as follows: forming an information string of each feature cluster; arranging the information strings of the audit feature clusters in order of the audit values from large to small, and inserting a feature cluster separator between the information strings of adjacent audit feature clusters to form the audit information string of the corresponding vehicle model.

2. The method for forming audit information of single-vehicle configuration data for EBOM as described in claim 1, characterized in that, The classification method of a feature value is as follows: extracting a feature family code from the feature code of a feature value, and classifying feature codes with the same feature family code into a group, and marking the corresponding group as a feature family corresponding to the feature family code, to complete the classification of all feature values in the engineering configuration EBOM table.

3. The method for forming audit information of single-vehicle configuration data for EBOM as described in claim 1, characterized in that, Detecting whether the audit value of a feature cluster is greater than an audit threshold, if the detection result is yes, the corresponding feature cluster is marked as an audit feature cluster.

4. The method for forming audit information of single-vehicle configuration data for EBOM as described in claim 1, characterized in that, The information string formation process of a feature cluster is as follows: arranging the feature values in the feature cluster in order of the audit values from large to small, and inserting a feature value separator between adjacent feature values to form the information string of the corresponding feature cluster.

5. The method for forming audit information of single-vehicle configuration data for EBOM as described in claim 1, characterized in that, If all audit feature clusters need to be output equally, the formation method of the audit information string of a vehicle model is as follows: (41) arranging all audit feature clusters in order of the audit values from large to small; (42) arranging the feature values in each audit feature cluster in order of the audit values from large to small; (43) extracting the ith feature value from each audit feature cluster in turn, and inserting a feature value separator between adjacent ith feature values to form a sub-information string; (43) inserting a sub-information string separator between adjacent sub-information strings to form the audit information string of the corresponding vehicle model.

6. A storage medium storing a computer program, characterized by When the computer program is executed by the processor, the steps of the audit information formation method of the single-vehicle configuration data for the EBOM according to any one of claims 1 to 5 are implemented.

7. A computer device comprising a processor and a storage medium having stored program code, characterized in that, When the program code is executed by the processor, the steps of the audit information formation method of the single-vehicle configuration data for the EBOM according to any one of claims 1 to 5 are implemented.

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