CN115860316B

CN115860316B - Method, apparatus and storage medium for determining inspection requirements of a product, and identifying a product

Info

Publication number: CN115860316B
Application number: CN202310128105.4A
Authority: CN
Inventors: 彭杉
Original assignee: Xiwei Technology Guangzhou Co ltd
Current assignee: Xiwei Technology Guangzhou Co ltd
Priority date: 2023-02-17
Filing date: 2023-02-17
Publication date: 2023-06-16
Anticipated expiration: 2043-02-17
Also published as: CN115860316A

Abstract

The application discloses a method, equipment and a storage medium for determining the inspection requirement of a product and identifying the product, and belongs to the technical field of product inspection. The method comprises the following steps: acquiring characteristic attributes of product characteristics corresponding to a first product structure included in a target product to be inspected from a target product characteristic table, wherein at least one product characteristic corresponds to at least one product structure of the target product one by one, and the characteristic attributes are used for indicating inspection operation types, including scanning type, visual type, counting type and metering type; and determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure. According to the method and the device, the matched inspection requirements can be determined by acquiring the characteristic attribute of the product structure, the product structure is not required to be identified by the staff to identify the bill of materials, and then the inspection requirements of the product structure are determined according to the manual experience, so that the identification errors of manual identification are reduced, the accuracy of determining the inspection requirements of the product is improved, and the inspection efficiency can be improved.

Description

Method, apparatus and storage medium for determining inspection requirements of a product, and identifying a product

Technical Field

The present disclosure relates to the field of product inspection technologies, and in particular, to a method, an apparatus, and a storage medium for determining inspection requirements of a product and identifying the product.

Background

Currently, a product is often assembled from multiple product structures, with different product structures requiring different inspection requirements. For example, product 1 has independent sound and product 2 does not have independent sound. Then, the worker needs to perform the live play to determine that the sound is working properly when checking the product 1, and does not need to perform the detection step of the live play when checking the product 2. Thus, there is a need to determine the verification requirements for matching a product based on the specific product structure of the product.

In the related art, a worker may obtain a bill of materials of a product by scanning a code or the like of the product to be inspected, where the bill of materials includes a material identifier of at least one material for assembling the product, and each material is a product structure. Then, the staff manually determines the inspection requirements matched with the product to be inspected by identifying the material identification of at least one material in the bill of materials, and inspects the product to be inspected according to the determined inspection requirements. However, the bill of materials is typically identified by a string of special strings, such as AUDIOs, for example, by AUDIOs. Therefore, before the bill of materials is manually identified to determine the matched inspection requirement, a worker needs to be trained for a long time to accurately identify the specific meaning of the bill of materials, and then the matched inspection requirement can be determined and normal inspection work can be performed according to the accurate identification result. However, this method of determining the inspection requirement by manually recognizing the bill of materials is prone to occurrence of recognition errors, resulting in lower inspection accuracy and inspection efficiency.

Disclosure of Invention

The application provides a method, equipment and storage medium for determining the inspection requirement of a product and identifying the product, which can solve the problem that identification errors are easy to occur in the process of determining the inspection requirement by manually identifying a bill of materials, so that the inspection striving rate and the inspection efficiency are lower. The technical scheme is as follows:

in a first aspect, there is provided a method of determining inspection requirements for a product, the method comprising:

for a target product to be inspected, acquiring a characteristic attribute of a product characteristic corresponding to a first product structure included in the target product from a target product characteristic table, wherein the characteristic attribute is used for indicating the inspection operation type of the first product structure;

the target product characteristic table comprises characteristic attributes of at least one product characteristic, wherein the at least one product characteristic corresponds to at least one product structure of the target product one by one, the at least one product structure comprises the first product structure, the characteristic attributes comprise a scanning type, a visual type, a counting type and a metering type, the scanning type is tested by scanning a pattern identification code on the product structure, the visual type is tested by a manual or machine vision observation mode, the counting type is tested by a functional test mode, and the metering type is tested by collecting a detection value;

And determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure.

Optionally, the scanning result of the scanning type is a numerical reading of the scanned graphic identification code, the visual type visual result is a custom enumeration type, the counting result of the counting type is a boolean value reading, and the metering result of the metering type is a quantifiable numerical type.

Optionally, the pattern recognition code includes a bar code or a two-dimensional code.

Optionally, before determining the inspection requirement of the first product structure according to the feature attribute of the product feature corresponding to the first product structure, the method further includes:

obtaining a logic operation rule corresponding to the product structure configuration of the first product structure, wherein the logic operation rule corresponding to the product structure configuration of the first product structure is used for identifying the product structure configuration of the first product structure, and the logic operation rule corresponding to the product structure configuration of the first product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifiers;

the product series to which the target product belongs comprises a plurality of versions of products, the material configurations of the different versions of products are different, the plurality of variable identifiers are used for indicating a plurality of materials contained in the plurality of versions of products, a variable array corresponding to each variable identifier in the plurality of variable identifiers comprises at least one array element, at least one array element contained in the variable array corresponding to each variable identifier is used for indicating at least one variable configuration identifier corresponding to each variable identifier, and at least one variable configuration identifier corresponding to each variable identifier is used for indicating at least one material configuration contained in the corresponding materials for assembling the plurality of versions of products;

And determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure and the logic operation rule corresponding to the product structure configuration of the first product structure.

Optionally, the obtaining the logic operation rule corresponding to the product structure configuration of the first product structure includes:

and obtaining a logic operation rule corresponding to the first product structure from a logic operation rule table, wherein the logic operation rule table comprises logic operation rules corresponding to each material in the plurality of materials.

In a second aspect, there is provided a method of identifying a product, the method comprising:

acquiring a bill of materials of a target product, wherein the bill of materials comprises structure identifiers of a plurality of product structures;

generating a feature identifier and a feature attribute of at least one product feature according to the bill of materials, wherein the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one, and the feature attribute of each product feature is used for indicating the inspection operation type of the corresponding product structure;

the characteristic attributes comprise a scanning type, a visual type, a counting type and a metering type, wherein the scanning type is used for detecting through a scanning mode, the visual type is used for detecting through an observing mode, the counting type is used for detecting through a function test mode, and the metering type is used for detecting through a detection value collecting mode;

For each product structure in the at least one product structure, identifying each product structure by utilizing the feature identification and the feature attribute of the product feature corresponding to each product structure.

Optionally, the generating, according to the bill of materials, a feature identifier and a feature attribute of at least one product feature includes:

and generating a feature identifier and a feature attribute of at least one product feature in a one-to-one correspondence or cutting mode according to the bill of materials, wherein the at least one product structure to be identified is all or part of the product structures in the plurality of product structures.

generating a characteristic pretreatment table according to the bill of materials, wherein the characteristic pretreatment table comprises characteristic identifiers of a plurality of product characteristics and conversion identifiers, the product structures are in one-to-one correspondence with the product characteristics, and the conversion identifiers are used for indicating whether the corresponding product structures are converted into the product characteristics;

and generating a feature identifier and a feature attribute of the at least one product feature according to the feature pretreatment table, wherein the at least one product feature is a product feature of which the conversion identifier indicates to convert the corresponding product structure into the product feature.

Optionally, the generating the feature identifier and the feature attribute of the at least one product feature according to the feature preprocessing table includes:

generating an initial product feature table according to the feature preprocessing table, wherein the initial product feature table comprises feature identifiers, conversion identifiers and feature attributes of the plurality of product features;

determining a conversion identifier from the initial product feature table to indicate that the corresponding product structure is converted into a feature identifier and a feature attribute of the product feature, and obtaining the feature identifier and the feature attribute of the at least one product feature;

generating a target product feature table, wherein the target product feature table comprises feature identifiers and feature attributes of the at least one product feature.

Optionally, the bill of materials further includes a hierarchy identifier of each product structure in the plurality of product structures, the plurality of product structures being divided into a plurality of hierarchies, the hierarchy identifier being used to indicate a hierarchy to which the corresponding product structure belongs;

the generating the feature identifier and the feature attribute of at least one product feature according to the bill of materials comprises:

and generating a feature identifier, a feature attribute and a hierarchy identifier of the at least one product feature according to the bill of materials, wherein the hierarchy identifier of each product feature is a hierarchy identifier of a product structure corresponding to each product feature.

Optionally, before identifying each product structure by using the feature identifier and the feature attribute of the product feature corresponding to each product structure, the method further includes:

determining a logic operation rule corresponding to the product structure configuration of each product structure, wherein the logic operation rule corresponding to the product structure configuration of each product structure is used for identifying the product structure configuration of each product structure, and the logic operation rule corresponding to the product structure configuration of each product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifications;

The identifying each product structure by utilizing the feature identification and the feature attribute of the product feature corresponding to each product structure comprises the following steps:

and identifying each product structure by utilizing the characteristic identification and characteristic attribute of the product characteristic corresponding to each product structure and the corresponding logic operation rule of the product structure configuration of each product structure.

In a third aspect, there is provided an apparatus for determining inspection requirements for a product, the apparatus comprising:

the first acquisition module is used for acquiring the characteristic attribute of the product characteristic corresponding to the first product structure included in the target product from the target product characteristic table for the target product to be inspected, wherein the characteristic attribute is used for indicating the inspection operation type of the first product structure;

And the determining module is used for determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure.

Optionally, the apparatus further includes a second acquisition module:

the second obtaining module is used for obtaining a logic operation rule corresponding to the product structure configuration of the first product structure, wherein the logic operation rule corresponding to the product structure configuration of the first product structure is used for marking the product structure configuration of the first product structure, and the logic operation rule corresponding to the product structure configuration of the first product structure is constructed by utilizing a variable array corresponding to a plurality of variable marks;

And the determining module is used for determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure and the logic operation rule corresponding to the product structure configuration of the first product structure.

Optionally, the second obtaining module is configured to:

In a fourth aspect, there is provided an apparatus for identifying a product, the apparatus comprising:

the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a bill of materials of a target product, and the bill of materials comprises structure identifiers of a plurality of product structures;

the generating module is used for generating a feature identifier and a feature attribute of at least one product feature according to the bill of materials, the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one, and the feature attribute of each product feature is used for indicating the inspection operation type of the corresponding product structure;

And the identification module is used for identifying each product structure by utilizing the characteristic identification and the characteristic attribute of the product characteristic corresponding to each product structure for each product structure in the at least one product structure.

Optionally, the generating module is configured to:

Optionally, the generating module includes:

the first generation unit is used for generating a characteristic pretreatment table according to the bill of materials, wherein the characteristic pretreatment table comprises characteristic identifiers of a plurality of product characteristics and conversion identifiers, the product structures are in one-to-one correspondence with the product characteristics, and the conversion identifiers are used for indicating whether the corresponding product structures are converted into the product characteristics;

and the second generating unit is used for generating the feature identification and the feature attribute of the at least one product feature according to the feature pretreatment table, wherein the at least one product feature is a product feature of which the conversion identification indicates to convert the corresponding product structure into the product feature in the feature pretreatment table.

Optionally, the second generating unit is configured to:

the generating module is used for generating the feature identifier, the feature attribute and the hierarchy identifier of the at least one product feature according to the bill of materials, wherein the hierarchy identifier of each product feature is the hierarchy identifier of the product structure corresponding to each product feature.

Optionally, the apparatus further comprises a determining module:

The determining module is used for determining a logic operation rule corresponding to the product structure configuration of each product structure, wherein the logic operation rule corresponding to the product structure configuration of each product structure is used for identifying the product structure configuration of each product structure, and the logic operation rule corresponding to the product structure configuration of each product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifiers;

the identification module is used for identifying each product structure by utilizing the characteristic identification and characteristic attribute of the product characteristic corresponding to each product structure and the corresponding logic operation rule of the product structure configuration of each product structure.

In a fifth aspect, there is provided a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program implementing the method of the first or second aspect described above when executed by the processor.

In a sixth aspect, there is provided a computer readable storage medium storing a computer program which when executed by a processor implements the method of the first or second aspect.

In a seventh aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first or second aspect described above.

The method for determining the inspection requirements of the product provided by the embodiment of the application has the following beneficial effects:

the embodiment of the application converts the product structure into the product features in advance, and each product structure is identified by using the feature identification and the feature attribute of the product features, wherein the feature attribute is used for indicating the inspection operation type of the corresponding product structure. When the inspection requirements of the products are determined, feature attributes of product features corresponding to specific product structures in the products are automatically obtained from the product feature table, and the inspection requirements of the products are determined according to inspection operation types indicated by the feature attributes. In the process, a worker does not need to identify the product structure through identifying the bill of materials, and then determines the matched inspection requirement with the identified product structure according to manual experience, but can automatically determine the matched inspection requirement by acquiring the characteristic attribute of the product structure, thereby reducing the identification error of manual identification, improving the accuracy of determining the inspection requirement of the product, and improving the inspection efficiency.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic logic structure diagram of a computer device according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a logic structure of another computer device according to an embodiment of the present application;

FIG. 3 is a flow chart of a method of identifying a product provided by an embodiment of the present application;

FIG. 4 is a flow chart of a method of determining verification requirements for a product provided by an embodiment of the present application;

FIG. 5 is a logic diagram of determining a verification requirement by a verification module provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of logic for determining verification requirements based on feature attributes and logic rules provided by an embodiment of the present application;

FIG. 7 is a schematic structural view of an apparatus for determining inspection requirements of a product according to an embodiment of the present application;

FIG. 8 is a schematic structural view of a device for identifying a product according to an embodiment of the present application;

Fig. 9 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

It should be understood that reference herein to "a plurality" means two or more. In the description of the present application, "/" means or, unless otherwise indicated, for example, a/B may represent a or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, for the purpose of facilitating the clear description of the technical solutions of the present application, the words "first", "second", etc. are used to distinguish between the same item or similar items having substantially the same function and effect. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.

Before explaining the embodiments of the present application in detail, application scenarios of the embodiments of the present application are described.

The method for determining the inspection requirements of the product is applied to the scene of inspecting products with different product structures and/or different product configurations. For example, in the context of inspecting flexible products on flexible assembly lines.

As an example, on a flexible assembly line, an operator assembles parts to a main product when the product arrives at an assembly station. After the components are assembled to the main product, it is necessary for an inspector to inspect whether there is an abnormality in the assembly of the components and record the inspection result on an inspection card of the product. However, different parts may have different inspection requirements, so in inspecting whether the assembly of the parts is abnormal, an inspector needs to identify the parts assembled in the product and the inspection requirements of the parts first, and then inspect the parts according to the inspection requirements. However, it is often difficult for an inspector to determine the specific parts assembled in a product simply by the appearance of the product.

In the related art, a product bar code is configured on a product, a worker can acquire a bill of materials of the product by scanning the product bar code on the product, identify specific materials assembled on the product by identifying material identifiers in the bill of materials, and determine a test requirement matched with the product according to the identified materials. Or printing a bill of materials of the product on the product, and identifying the specific materials assembled on the product by a worker by checking the bill of materials on the product, and determining the inspection requirement matched with the product according to the identified specific materials. However, this method of determining the inspection requirement by manually identifying the bill of materials is prone to identification errors and has low inspection efficiency.

In addition, in a flexible assembly line, the product structure or product configuration of the previous product and the next product to be assembled may be different, resulting in different inspection requirements of the previous product and the next product, in which case, if the inspection requirements of the products cannot be accurately identified, the inspection result will not match with the assembled product, and thus the product will be reworked or scrapped.

To this end, embodiments of the present application provide a method of determining inspection requirements for a product, in which product structures are converted into product features in advance, each product structure is identified using a feature identification and a feature attribute of the product feature, the feature attribute being used to indicate an inspection operation type of the corresponding product structure. When the inspection requirements of the products are determined, the characteristic attributes of the product characteristics corresponding to the specific product structure in the products can be automatically obtained from the product characteristic table, and the inspection requirements of the products are determined according to the inspection operation types indicated by the characteristic attributes. In the process, a worker does not need to identify the product structure through identifying the bill of materials, and then determines the matched inspection requirement with the identified product structure according to manual experience, but can automatically determine the matched inspection requirement by acquiring the characteristic attribute of the product structure, thereby reducing the identification error of manual identification, improving the accuracy of determining the inspection requirement of the product, and improving the inspection efficiency.

The execution subject of the method provided by the embodiments of the present application may be a computer device, by which the product is identified and/or the verification requirements of the product are determined. The computer device can be a mobile phone, a tablet computer or a computer. For example, the computer device is configured with a feature transformation module by which the product can be identified. Alternatively, the computer module is configured with a verification module by which the verification requirements of the product can be determined.

Referring to fig. 1, fig. 1 is a schematic logic structure diagram of a computer device according to an embodiment of the present application, and as shown in fig. 1, the computer device is configured with a feature conversion module 10 and a database 20. The feature transformation module 10 is used to identify different product structures or different configurations of a product according to the methods provided by embodiments of the present application. The feature conversion module 10 may be an application or a code module. The database 20 is used to store data used and generated during the process of identifying different product structures or different configurations of the product. For example, a bill of materials, a feature preprocessing table, an initial product feature table, a target product feature table, or an association relationship between each product structure and product feature in the product are stored.

Referring to fig. 2, fig. 2 is a schematic logic structure diagram of another computer device according to an embodiment of the present application. As shown in fig. 2, the computer device is configured with a verification module 30 and a database 40. The verification module 30 is used to determine the verification requirements of the product according to the methods provided by embodiments of the present application. In addition, the inspection module 30 may output an inspection request, record an inspection result of inspecting a product according to the determined inspection request, or the like. The verification module 30 may be an application or a code module. The database 40 is used to store data used or generated in determining the verification requirements of the product. For example, the association relation between each product structure and product characteristics in the product, the target product characteristic table, the logic operation rule of different material configurations of each material in the plurality of materials included in the specified product series, the inspection requirement corresponding to the logic operation rule of different material configurations of each material in the plurality of materials, or the association relation between the variable configuration identifier corresponding to each variable identifier and the computer variable identifier are stored.

It should be noted that fig. 1 and fig. 2 only illustrate an example in which the functional modules (the feature conversion module 10 and the inspection module 30) and the corresponding databases are configured in the same computer device, and it should be understood that the databases may also be located in other devices, such as a server located in the cloud, and the location of the databases is not limited in the embodiments of the present application. In addition, fig. 1 and fig. 2 only illustrate that the feature conversion module 10 and the inspection module 30 are configured in different computer devices, and it should be understood that the feature conversion module 10 and the inspection module 30 may also be configured in the same computer device, which is not limited in this embodiment of the present application.

In the embodiment of the present application, in determining the inspection requirement of the product, the characteristic attribute of the first product structure in the product needs to be obtained first, so for easy understanding, the process of identifying the product structure by using the characteristic attribute will be described in detail first.

Fig. 3 is a flowchart of a method for identifying a product, which is applied to a computer device, such as the feature conversion module 10 in fig. 1, according to an embodiment of the present application. Referring to fig. 3, the method includes the following steps.

Step 301: a bill of materials of the target product is obtained, wherein the bill of materials comprises structure identifiers of a plurality of product structures.

The target product may be any product, such as a vehicle, an electronic device, or an electrical device. For example, the electronic device may be a mobile phone, a tablet computer, a wearable device, etc., and the electrical device may be a washing machine, a refrigerator, a television, etc.

The product structure is also called material and is a part of structure for assembling the target product. The target product is typically assembled from a plurality of product structures. For example, the product structure may be a system, a subsystem, or a component, etc. The plurality of product structures in the BOM (Bill of materials) are all or part of structures constituting the target product. The structure identifier of the product structure is used for uniquely identifying the corresponding product structure, and may include one or more of a name and an ID (identity document) of the product structure, or may be other structure identifiers, which is not limited in this embodiment of the present application.

In addition, the plurality of product structures may be divided into a plurality of hierarchies according to the structural relationship, and the bill of materials may include the hierarchy of each product structure in addition to the structural identifier of each product structure in the plurality of product structures. For example, assume that the plurality of product structures are divided into 3 levels, namely level 1, level 2 and level 3, respectively, the level of product structure 1 in the plurality of product structures is level 1, the level of product structure 2 is level 2, and the level of product structure 2 is level 3.

As an example, assuming that the target product is a computer, the bill of materials of the target product may be shown in the following table 1:

step 302: and generating a feature identifier and a feature attribute of at least one product feature according to the bill of materials, wherein the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one.

Wherein the at least one product feature is a product feature corresponding to at least one product structure to be identified in the plurality of product structures. The at least one product feature is associated with the at least one product structure. The at least one product structure to be identified may be all or part of a plurality of product structures. In this way, the product structure can be converted into product features by which the product structure is identified.

Wherein the feature identifier is used to uniquely identify the corresponding product feature. The feature identifier may include at least one of a feature name and a feature ID of the product feature, and may of course also include other forms of feature identifiers, which are not limited in this embodiment of the present application.

The feature identification of each product feature has an association relationship with the structure identification of the corresponding product structure. For example, the feature identification of the at least one product feature may be associated with at least one product structure to be identified of the plurality of product structures to construct a one-to-one correspondence of the at least one product feature to the at least one product structure to be identified.

Wherein the feature attributes of the product features are used to indicate the type of inspection operation of the corresponding product structure. In this way, the inspection requirements of the product structure can be more conveniently determined according to the characteristic attributes. The characteristic attributes may include scan type, visual type, count type, metering type, and the like. It should be appreciated that the feature attributes may also be indicative of other types of inspection operations, which are not limited in this embodiment of the application.

The scanning type refers to checking by scanning a pattern identification code on the product structure. Such as by scanning a pattern recognition code on the product structure to determine if the product structure is defective or if the assembly is abnormal, etc.

The pattern identification code on the product structure can be a bar code, a two-dimensional code or other pattern codes, or an RFID (RadioFrequency Identification, radio frequency identification code) or the like. The pattern recognition code is a pattern for recording data symbol information, and can be used for representing numerical value information. In one possible implementation, the scan result of the scan type is a numerical reading of a scanned barcode or two-dimensional code or other graphical identification code.

In addition, the scan type may also determine association between products or product structures in a scan manner, for example, may determine association between a current first product structure and other product structures, or may determine association between a current product and other products.

Visual inspection refers to inspection by means of observation. For example, the inspection may be performed manually or by machine vision. For example, whether or not there is a defect in the product structure or whether or not there is an abnormality in the assembly, or the like, may be checked by an inspector by visualizing the appearance of the product structure. In one possible implementation, the visual type of visual result is a custom enumerated type. The enumeration type refers to listing the values of the variables one by one, and the values of the variables are limited to the range of the listed values. An enumeration type is typically used to declare a set of named constants, which can be defined as an enumeration type when a variable has several possible values. For example, the observation is one of a list of test results of a preset enumeration type, the list of test results including a plurality of possible test results.

Counting refers to checking by means of functional testing. The function test is to verify the function of the product structure, test item by item according to the function test case, and check whether the product meets the requirement of the user. For example, by performing a functional test on the product structure, whether the product structure has defects or whether the assembly is abnormal or not is determined according to the result of the functional test. For example, the functional test may be to test whether a button is malfunctioning, whether tightness can be adjusted, etc. In one possible implementation, the counting result of the counting type is a boolean reading, i.e. the functional test result is a boolean reading. The boolean value is one of "yes" and "no", where "yes" may also be denoted as "true (1)", and "no" may also be denoted as "false (0)". In addition, the boolean values "yes" and "no" may also be converted to 1 and 0, respectively. By way of example, functional test results generally include pass functional tests and fail functional tests, functional test results include "yes" and "no," meaning pass functional tests, and "no" meaning fail functional tests.

Metering type refers to testing by means of collecting test values. For example, by collecting the detection value of the product structure, whether the product structure has defects or whether the assembly has abnormality is determined according to the detection value. Wherein the detection values required to be acquired may be different for different product structures. For example, the detection value may be a torque magnitude, a length, a weight, or the like. In one possible implementation, the metering result of the metering type is a quantifiable numerical type, i.e. the collected detection value is a numerical type.

As one example, different feature attributes have different feature attribute identifications, which may include one or more of a feature attribute name, a feature attribute ID, and a feature attribute description. For example, the characteristic attribute identification may be as shown in table 2 below:

in the embodiment of the application, the feature identifier and the feature attribute of at least one product feature can be generated in a one-to-one correspondence or cutting mode according to the bill of materials. Generating the feature identifier and the feature attribute of at least one product feature in a one-to-one correspondence manner refers to generating the feature identifier and the feature attribute of the product feature corresponding to each product structure in all product structures included in the bill of materials. Generating the feature identifier and the feature attribute of at least one product feature by clipping means generating the feature identifier and the feature attribute of the product feature corresponding to each product structure in the partial product structures in the bill of materials.

As one example, the product structure in the bill of materials may be converted to a product feature, and then a corresponding feature identification and feature attribute may be added to the product feature to identify the corresponding product structure by the feature identification and feature attribute of the product feature.

The feature identifier and the feature attribute of each product feature in the at least one product feature may be configured by a related person, or may be set by default by a computer device, which is not limited in the embodiment of the present application. For example, the feature identifier may be configured by the computer device for the at least one product feature by default, the feature attributes may be configured by the relevant person for the at least one product feature, respectively, and then the computer device may generate the feature identifier and the feature attributes for the at least one product feature based on the feature identifier configured by the relevant person for the at least one product feature by default, and the feature attributes configured by the relevant person for the at least one product feature, respectively.

In addition, the bill of materials further includes a hierarchical identifier of each product structure in the plurality of product structures, and according to the bill of materials, a feature identifier, a hierarchical identifier and a feature attribute of each product structure in the at least one product structure can also be generated, wherein the hierarchical identifier of each product feature is the hierarchical identifier of the product structure corresponding to each product feature.

As one example, the operation of generating the feature identification and the feature attribute of the at least one product feature from the bill of materials may include the steps of:

1) And generating a characteristic preprocessing table according to the bill of materials, wherein the characteristic preprocessing table comprises characteristic identifiers and conversion identifiers of a plurality of product characteristics, the product structures are in one-to-one correspondence with the product characteristics, and the conversion identifiers are used for indicating whether the corresponding product structures are converted into the product characteristics.

The product structures in the bill of materials and the product features in the feature pretreatment table have an association relationship, and a plurality of product structures in the bill of materials and a plurality of product features in the feature pretreatment table are in one-to-one correspondence. By generating the feature pretreatment table, the product structure in the bill of materials can be converted into product features in advance.

In addition, the bill of materials may further include a hierarchical identifier of each of the plurality of product structures, and accordingly, the feature pretreatment table may also include a hierarchical identifier of each of the plurality of product features, where the hierarchical identifier of each product feature is the hierarchical identifier of the corresponding product structure.

As an example, from the bill of materials shown in table 1 above, the following feature pretreatment table shown in table 3 may be generated:

2) And generating a feature identifier and a feature attribute of at least one product feature according to the feature pretreatment table, wherein the at least one product feature is a product feature of converting the corresponding product structure into the product feature indicated by the conversion identifier in the feature pretreatment table.

That is, the conversion identifier in the feature pretreatment table may indicate that the corresponding feature attribute is added to the product feature that converts the corresponding product structure into the product feature, thereby obtaining the feature identifier and the feature attribute of at least one product feature.

As one example, an initial product feature table may be generated from a feature pre-processing table, the initial product feature table including a feature identification, a conversion identification, and a feature attribute for each of a plurality of product features. And then, generating a target product feature table according to the initial product feature table, wherein the target product feature table comprises feature identifiers and feature attributes of at least one product feature.

For example, a transformation identifier may be determined from the initial product feature table that indicates a transformation of the corresponding product structure into a feature identifier and a feature attribute of the product feature, resulting in a feature identifier and a feature attribute of the at least one product feature. And then generating a target product feature table according to the feature identification and the feature attribute of the at least one product feature.

In one possible implementation, a corresponding feature attribute may be added for each product feature in the feature pre-processing table to obtain an initial product feature table. And then deleting the entry of the conversion mark in the initial product characteristic table, which indicates that the corresponding product structure is not converted into the product characteristic, so as to obtain the target product characteristic table.

As an example, from the feature pretreatment table shown in table 3 above, the initial product feature table may be generated as shown in table 4 below:

as an example, from the initial product feature table shown in table 4 above, the generated target product feature table may be as shown in table 5 below:

step 303: for each of the at least one product structure, each product structure is identified using the feature identification and the feature attribute of the product feature corresponding to each product structure.

That is, the product structure of the target product may be identified using the feature identification and the feature attributes of the corresponding product features.

As one example, the computer device may store a target product feature table in the first database to identify a product structure corresponding to any one of the at least one product feature by a feature identification and feature attributes of the at least one product feature stored by the target product feature table. Thus, the computer device or other devices can obtain the feature attributes of the product features corresponding to the product structure of the target product from the target product feature table stored in the first database.

In addition, in order to further distinguish the configuration of the product structures, the logic operation rule corresponding to the product structure configuration of each product structure may be determined before identifying each product structure, and each product structure may be identified by using the feature identifier and the feature attribute of the product feature corresponding to each product structure and the logic operation rule corresponding to the product structure configuration of each product structure.

The logic operation rule corresponding to the product structure configuration of each product structure is used for identifying the product structure configuration of each product structure, and the logic operation rule corresponding to the product structure configuration of each product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifications.

The product series to which the target product belongs may include multiple versions of products, and the materials of the different versions of products are configured differently, and the multiple variable identifiers are used for indicating multiple materials included in the multiple versions of products. In addition, the variable array corresponding to each variable identifier in the plurality of variable identifiers comprises at least one array element, the at least one array element included in the variable array corresponding to each variable identifier is used for indicating at least one variable configuration identifier corresponding to each variable identifier, and the at least one variable configuration identifier corresponding to each variable identifier is used for indicating at least one material configuration included in the corresponding material. Therefore, the configuration of the product structure of any one product in the product series to which the target product belongs can be identified by utilizing the logic operation rule constructed by the variable array corresponding to the variable identification.

In addition, the logic operation rule corresponding to the product structure configuration of each product structure can be constructed by utilizing the variable array corresponding to the variable identifiers and the logic operation symbol. Wherein the logical operation symbols include one or more of the following logical operation symbols: and, or, no, greater than, equal to, and less than. Illustratively, AND, OR, no, greater than, equal to, AND less than may be represented by "AND", "OR", "NOT", "", "=" AND "<", respectively.

As an example, the second database stores a logical operation rule table storing logical operation rules corresponding to all material configurations of each of the plurality of materials. The computer device or a verification module 30 in the computer device may obtain the logical operation rule corresponding to the product structure configuration of each of the at least one product structure from the logical operation rule table stored in the second database.

The second database and the first database storing the characteristic table of the target product may be the same database or different databases. When the first database and the second database are different databases, the first database and the second database may be located on the same device or may be located on different devices, which is not limited in this embodiment of the present application.

For example, a first device includes a feature transformation module and a first database, and a second device includes a product configuration identification module and a second database. The feature conversion module is used for identifying different product structures of the product according to the method provided by the embodiment of the application, and the first database is used for storing a target product feature table. The product configuration identification module is used for identifying different configurations of the product structure by utilizing logic operation rules constructed by variable arrays corresponding to the variable identifications, and the second database is used for storing a logic operation rule table.

As an example, the feature identifier, the feature attribute, and the logic rule corresponding to the product structure configuration of the at least one product structure for the at least one product feature may be as shown in table 6 below:

in the embodiment of the application, the product structure can be converted into the product feature by generating the feature identifier and the feature attribute of at least one product feature corresponding to at least one product structure to be identified in the bill of materials according to the bill of materials of the target product, and the product structure is identified by using the feature identifier and the feature attribute. The product identification mode is convenient for automatic identification and processing of computer equipment, so that the product structure in the product can be automatically identified according to the identification mode, and the efficiency and the accuracy of identifying the product structure are improved. Moreover, since the characteristic attribute can indicate the inspection operation type of the corresponding product structure, the identification mode is also convenient for determining the inspection requirement of the product in the product inspection process and carrying out defect recording on the product, thereby improving the inspection efficiency.

After the product is identified by the method shown in fig. 4, the product identification data can be used to determine the inspection requirement of the product. Fig. 4 is a flowchart of a method for determining inspection requirements for a product, such as in the inspection module 30 of fig. 2, provided in an embodiment of the present application. Referring to fig. 4, the method includes the steps of:

Step 401: and for the target product to be inspected, acquiring the characteristic attribute of the product characteristic corresponding to the first product structure included in the target product from the target product characteristic table, wherein the characteristic attribute is used for indicating the inspection operation type of the first product structure.

The first product structure may be any product structure included in the target product. For example, the first product structure may be a product structure assembled for a last assembly operation of the target product to verify a recently assembled product structure on the target product. Such as checking whether there is a defect in the structure of the recently assembled product or whether there is an abnormality in the assembly, etc.

The target product feature table comprises at least one feature identifier and feature attributes of the product features. The at least one product structure corresponds one-to-one with at least one product structure of the target product, the at least one product structure comprising the first product structure. The at least one product structure may be a product structure on the target product that needs to be identified, and may be all or part of the product structure of the target product.

The characteristic attribute may include scan type, visual type, count type, metering type, and the like, and it should be understood that the characteristic attribute may also include other inspection operation types. The scan type means that the inspection is performed by a scan method, the visual type means that the inspection is performed by an observation method, the count type means that the inspection is performed by a function test method, and the metering type means that the inspection is performed by a detection value collection method.

As an example, the computer device may obtain the feature attribute of the product feature corresponding to the first product structure from the target product feature table stored in the first database, that is, the target product feature table may be stored in the first database. The first database may be located in the computer device or may be located in another device, for example, in a cloud server, which is not limited in this embodiment of the present application.

In one possible implementation, as shown in fig. 2, the computer device includes a verification module 30 and a database 40, where the verification module 30 may obtain a feature attribute of a product feature corresponding to the first product structure from a target product feature table stored in the database 40, and then determine a verification requirement of the first product structure according to the feature attribute of the product feature corresponding to the first product structure.

In one possible implementation, a product bar code is configured on a target product, a worker can scan the product bar code on the product by using a code scanning device, and the code scanning device can report the code scanning result of the product bar code to a computer device. The computer equipment can acquire the characteristic attribute of the product characteristic corresponding to the first product structure included in the target product according to the code scanning result of the product bar code. The product bar code may carry a structural identifier of the product structure, and of course, may also carry other product information, such as a feature identifier and/or a feature attribute of a product feature corresponding to the product structure. The bar code of the product can be a bar code, a two-dimensional code or other graphic code, or an RFID, and the embodiment of the application is not limited to the bar code.

For example, the product bar code carries a structural identifier of a product structure, and the computer device can obtain the structural identifier of the first product structure according to the code scanning result of the product bar code, and then obtain the characteristic attribute of the product characteristic corresponding to the first product structure from the target product characteristic table according to the structural identifier of the first product structure.

Of course, the computer device may also obtain the feature attribute of the product feature corresponding to the first product structure included in the target product in other manners, which is not limited in this embodiment of the present application.

Step 402: and determining the inspection requirement of the first product structure according to the characteristic attribute of the product characteristic corresponding to the first product structure.

Wherein the inspection requirements include at least the type of inspection operation, i.e. which inspection mode is used for inspection. Since the characteristic attribute is used for indicating the inspection operation type of the corresponding product structure, the inspection operation type of the first product structure can be determined according to the characteristic attribute of the product characteristic corresponding to the first product structure, so that the inspection of the first product structure is guided according to the determined inspection operation type.

As an example, considering that one product structure may have different configurations, in order to obtain a verification requirement matching the configuration of the product structure, a logic operation rule corresponding to the product structure configuration of the first product structure may also be obtained, and the verification requirement of the first product structure may be comprehensively determined according to the feature attribute of the product feature corresponding to the first product structure and the logic operation rule corresponding to the product structure configuration of the first product structure.

For example, the logic operation rule corresponding to the first product structure may be obtained from a logic operation rule table, where the logic operation rule table includes logic operation rules corresponding to each of multiple materials. For example, the logical operation rule corresponding to the first product structure may be obtained from a logical operation rule table stored in the second database, that is, the logical operation rule table may be stored in the second database. The second database may be located in the computer device or may be located in another device, for example, in a cloud server, which is not limited in this embodiment of the present application.

As an example, after the logic operation rule corresponding to the first product structure is obtained, a first inspection requirement of the first product structure may be determined according to the logic operation rule corresponding to the first product structure, and then a second inspection requirement of the first product structure is determined according to the feature attribute of the product feature corresponding to the first product structure and the first inspection requirement, where the second inspection requirement is a final inspection requirement of the first product structure.

In one embodiment, the first verification requirement corresponding to the obtained logical operation rule may be determined from the specified correspondence. The specified correspondence stores a plurality of logic operation rules constructed by using variable arrays corresponding to a plurality of variable identifiers and checking requirements corresponding to each logic operation rule.

For example, the logical operation rule corresponding to the first product structure may be obtained from the specified correspondence stored in the third database, that is, the specified correspondence may be stored in the third database. The third database may be located in the computer device or may be located in another device, for example, in a cloud server, which is not limited in this embodiment of the present application. In addition, the third database and the first database or the second database may be the same database, or may be different databases, and the three databases may be located in the same device or may be located in different devices, which is not limited in this embodiment of the present application.

In one embodiment, the second inspection requirement of the first product structure may be determined according to the feature attribute of the product feature corresponding to the first product structure and the first inspection requirement by a preset rule. For example, the inspection operation type of the first product structure may be determined according to the feature attribute of the product feature corresponding to the first product structure, whether the first product structure needs to be inspected is determined according to the first inspection requirement, and the finally determined inspection requirement of the first product structure includes the inspection operation type of the first product structure and whether the first product structure needs to be inspected.

As an example, referring to fig. 5, the computer device includes a verification module 30, where the first database stores a target product feature table, the second database stores a logic operation rule table, and the third database stores a specified correspondence. For the target product to be inspected, if the target product includes a first product structure, the inspection module 30 may obtain a feature attribute of a product feature corresponding to the first product structure from a target product feature table stored in the first database, obtain a first logic operation rule corresponding to the first product structure from a logic operation rule table stored in the second database, obtain a first inspection requirement corresponding to the first logic operation rule from a specified correspondence stored in the third database, and then comprehensively determine a second inspection requirement of the first product structure according to the feature attribute of the product feature corresponding to the first product structure and the first inspection requirement.

It should be noted that, in this embodiment of the present application, only the inspection requirement of the first product structure in the target product is taken as an example, in other embodiments, if the target product to be inspected includes a plurality of product structures, the feature attribute of the product feature corresponding to each product structure in the plurality of product structures may also be obtained from the target product feature table, and the inspection requirement of the target product is determined according to the feature attribute of the product feature corresponding to each product structure in the plurality of product structures, where the inspection requirement of the target product includes the inspection requirement of each product structure in the plurality of product structures.

In addition, before determining the inspection requirement of the target product, the logic operation rule corresponding to each product structure in the plurality of product structures can be obtained from the logic operation rule table, and the inspection requirement of each product structure can be determined according to the characteristic attribute and the logic operation rule of the product characteristic corresponding to each product structure. For example, whether each product structure needs to be checked is determined according to the logic operation rule corresponding to each product structure, and whether the feature attribute of the product feature corresponding to each product structure and each product structure need to be checked is used as the checking requirement of each product structure.

As an example, referring to fig. 6, if it is determined that the configuration of the target product is the a computer according to the logic operation rule of each product structure shown in the above table 5, the test requirement of the a computer may be as shown in the upper right table in fig. 6. If the configuration of the target product is determined to be the B computer according to the logic operation rule of each product structure shown in the above table 6, the inspection requirement of the B computer may be shown in the table below the right side of fig. 6.

After the inspection requirement of the target product is determined, the target product can be inspected according to the inspection requirement. In addition, after the target product is inspected, the inspection result of the target product can be recorded. For example, the inspection requirements of the target product may be output to an external inspection plan module, and the inspection plan module executes the inspection plan of the target product according to the inspection requirements of the target product.

In the embodiment of the application, the product structure can be converted into the product features in advance, and each product structure is identified by using the feature identification and the feature attribute of the product features, wherein the feature attribute is used for indicating the inspection operation type of the corresponding product structure. When the inspection requirements of the products are determined, the characteristic attributes of the product characteristics corresponding to the specific product structure in the products can be automatically obtained from the product characteristic table, and the inspection requirements of the products are determined according to the inspection operation types indicated by the characteristic attributes. In the process, a worker does not need to identify the product structure through identifying the bill of materials, and then determines the matched inspection requirement with the identified product structure according to manual experience, but can determine the matched inspection requirement through the acquired characteristic attribute, so that the identification error of manual identification is reduced, the accuracy of determining the inspection requirement of the product is improved, and the inspection efficiency can be improved.

Fig. 7 is a schematic structural view of an apparatus for determining inspection requirements of a product according to an embodiment of the present application. The apparatus may be implemented by software, hardware, or a combination of both as part or all of a computer device, which may be the computer device shown in fig. 2 above. Referring to fig. 7, the apparatus includes: a first acquisition module 701 and a determination module 702.

A first obtaining module 701, configured to obtain, for a target product to be inspected, a feature attribute of a product feature corresponding to a first product structure included in the target product from a target product feature table, where the feature attribute is used to indicate an inspection operation type of the first product structure;

the target product characteristic table comprises at least one characteristic attribute of product characteristics, wherein the at least one product characteristic corresponds to at least one product structure of the target product one by one, the at least one product structure comprises the first product structure, the characteristic attribute comprises a scanning type, a visual type, a counting type and a metering type, the scanning type is tested by scanning a pattern identification code on the product structure, the visual type is tested by a manual or machine vision observation mode, the counting type is tested by a functional test mode, and the metering type is tested by a detection value acquisition mode;

a determining module 702, configured to determine a verification requirement of the first product structure according to a feature attribute of a product feature corresponding to the first product structure.

Optionally, the graphical identification code comprises a bar code or a two-dimensional code.

Optionally, the apparatus further includes a second acquisition module:

Optionally, the second obtaining module is configured to:

Fig. 8 is a schematic structural view of a device for identifying a product according to an embodiment of the present application. The apparatus may be implemented by software, hardware, or a combination of both as part or all of a computer device, which may be the computer device shown in fig. 1 above. Referring to fig. 8, the apparatus includes: an acquisition module 801, a generation module 802, and an identification module 803.

An obtaining module 801, configured to obtain a bill of materials of a target product, where the bill of materials includes structure identifiers of a plurality of product structures;

a generating module 802, configured to generate, according to the bill of materials, a feature identifier and a feature attribute of at least one product feature, where the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one, and the feature attribute of each product feature is used to indicate a type of inspection operation of the corresponding product structure;

the characteristic attribute comprises a scanning type, a visual type, a counting type and a metering type, wherein the scanning type is detected by a scanning mode, the visual type is detected by an observing mode, the counting type is detected by a functional test mode, and the metering type is detected by a detection value collecting mode;

An identification module 803 for identifying, for each product structure of the at least one product structure, each product structure with a feature identification and a feature attribute of a product feature corresponding to each product structure.

Optionally, the generating module 802 is configured to:

and generating a characteristic identifier and a characteristic attribute of at least one product characteristic in a one-to-one correspondence or cutting mode according to the bill of materials, wherein at least one product structure to be identified is all or part of the product structures in the plurality of product structures.

Optionally, the generating module 802 includes:

and the second generation unit is used for generating the feature identifier and the feature attribute of the at least one product feature according to the feature pretreatment table, wherein the at least one product feature is a product feature of which the conversion identifier indicates to convert the corresponding product structure into the product feature.

Optionally, the second generating unit is configured to:

a target product feature table is generated, the target product feature table comprising feature identifications and feature attributes of the at least one product feature.

the generating module 802 is configured to generate, according to the bill of materials, a feature identifier, a feature attribute, and a hierarchy identifier of the at least one product feature, where the hierarchy identifier of each product feature is a hierarchy identifier of a product structure corresponding to each product feature.

Optionally, the apparatus further comprises a determining module:

the identification module 803 is configured to identify each product structure by using a feature identifier and a feature attribute of a product feature corresponding to each product structure, and a logic operation rule corresponding to a product structure configuration of each product structure.

It should be noted that: the device for determining the inspection requirement of the product provided by the above embodiment is only exemplified by the division of the above functional modules when determining the inspection requirement of the product, and the device for identifying the product provided by the above embodiment is only exemplified by the division of the internal structure of the device into different functional modules when actually used, so that all or part of the functions described above can be completed.

The functional units and modules in the above embodiments 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, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiments of the present application.

The device for determining the inspection requirement of the product provided in the foregoing embodiment and the method embodiment for determining the inspection requirement of the product belong to the same concept, and the device for identifying the product provided in the foregoing embodiment and the method embodiment for identifying the product belong to the same concept, and specific working processes and technical effects brought by the units and the modules in the foregoing embodiment may be referred to in the method embodiment section and are not repeated herein.

Fig. 9 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 9, the computer device 9 includes: a processor 90, a memory 91 and a computer program 92 stored in the memory 91 and executable on the processor 90, the processor 90 executing the computer program 92 performing the steps in the method of determining a verification requirement for a product or identifying a product of the above-described embodiments.

The computer device 9 may be a general purpose computer device or a special purpose computer device. In a specific implementation, the computer device 9 may be a desktop, a portable computer, a network server, a palmtop, a mobile phone, a tablet, a wireless terminal device, a communication device, or an embedded device, and the embodiments of the present application are not limited to the type of computer device 9. It will be appreciated by those skilled in the art that fig. 9 is merely an example of the computer device 9 and is not limiting of the computer device 9, and may include more or fewer components than shown, or may combine certain components, or different components, such as may also include input-output devices, network access devices, etc.

The processor 90 may be a central processing unit (CentralProcessing Unit, CPU), and the processor 90 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (ApplicationSpecific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or may be any conventional processor.

The memory 91 may in some embodiments be an internal storage unit of the computer device 9, such as a hard disk or a memory of the computer device 9. The memory 91 may also be an external storage device of the computer device 9 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the computer device 9. Further, the memory 91 may also include both an internal storage unit and an external storage device of the computer device 9. The memory 91 is used to store an operating system, application programs, boot Loader (Boot Loader), data, and other programs. The memory 91 may also be used to temporarily store data that has been output or is to be output.

The embodiment of the application also provides a computer device, which comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.

The present application also provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the respective method embodiments described above.

The present embodiments provide a computer program product which, when run on a computer, causes the computer to perform the steps of the various method embodiments described above.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. With such understanding, the present application implements all or part of the flow of the above-described method embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, may implement the steps of the above-described method embodiments. Wherein the computer program comprises computer program code which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal device, recording medium, computer Memory, ROM (Read-Only Memory), RAM (Random Access Memory ), CD-ROM (Compact Disc Read-Only Memory), magnetic tape, floppy disk, optical data storage device, and so forth. The computer readable storage medium mentioned in the present application may be a non-volatile storage medium, in other words, a non-transitory storage medium.

It should be understood that all or part of the steps to implement the above-described embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The computer instructions may be stored in the computer-readable storage medium described above.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims

1. A method of determining inspection requirements for a product, the method comprising:

for a target product to be inspected, acquiring a characteristic attribute of a product characteristic corresponding to a first product structure included in the target product from a target product characteristic table, wherein the characteristic attribute is used for indicating the inspection operation type of the first product structure; the target product feature table comprises feature attributes of at least one product feature, the at least one product feature corresponds to at least one product structure of the target product one by one, the at least one product structure comprises the first product structure, the feature attributes comprise a scanning type, a visual type, a counting type and a metering type, the scanning type is used for checking through a pattern identification code on the scanning product structure, the scanning result is a numerical reading of the scanned pattern identification code, the visual type is checked through a manual or machine vision observation mode, the visual result is a self-defined enumeration type, the counting type is checked through a function test mode, the counting result is a Boolean value reading, the metering type is checked through a detection value collecting mode, and the metering result is a quantifiable numerical type;

Obtaining a logic operation rule corresponding to the product structure configuration of the first product structure from a logic operation rule table, wherein the logic operation rule corresponding to the product structure configuration of the first product structure is used for identifying the product structure configuration of the first product structure, and the logic operation rule corresponding to the product structure configuration of the first product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifiers; the product series to which the target product belongs comprises a plurality of versions of products, the material configurations of the different versions of products are different, the plurality of variable identifications are used for indicating a plurality of materials contained in the plurality of versions of products, a variable array corresponding to each variable identification in the plurality of variable identifications comprises at least one array element, at least one array element corresponding to each variable identification is used for indicating at least one variable configuration identification corresponding to each variable identification, at least one variable configuration identification corresponding to each variable identification is used for indicating at least one material configuration contained in the corresponding materials for assembling the plurality of versions of products, and the logic operation rule table comprises logic operation rules corresponding to each material in the plurality of materials;

2. A method of identifying a product, the method comprising:

generating a feature identifier and a feature attribute of at least one product feature in a one-to-one correspondence or cutting mode according to the bill of materials, wherein the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one, and the feature attribute of each product feature is used for indicating the inspection operation type of the corresponding product structure; the characteristic attributes comprise a scanning type, a visual type, a counting type and a metering type, wherein the scanning type is used for detecting through a scanning mode, the visual type is used for detecting through an observing mode, the counting type is used for detecting through a function test mode, and the metering type is used for detecting through a detection value collecting mode;

determining a logic operation rule corresponding to the product structure configuration of each product structure, wherein the logic operation rule corresponding to the product structure configuration of each product structure is used for identifying the product structure configuration of each product structure, and the logic operation rule corresponding to the product structure configuration of each product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifications; the product series to which the target product belongs comprises a plurality of versions of products, the material configurations of the different versions of products are different, the plurality of variable identifiers are used for indicating a plurality of materials contained in the plurality of versions of products, a variable array corresponding to each variable identifier in the plurality of variable identifiers comprises at least one array element, at least one array element contained in the variable array corresponding to each variable identifier is used for indicating at least one variable configuration identifier corresponding to each variable identifier, and at least one variable configuration identifier corresponding to each variable identifier is used for indicating at least one material configuration contained in the corresponding materials for assembling the plurality of versions of products;

And for each product structure in the at least one product structure, identifying each product structure by utilizing the characteristic identification and the characteristic attribute of the product characteristic corresponding to each product structure and the corresponding logic operation rule of the product structure configuration of each product structure.

3. The method of claim 2, wherein generating the feature identification and feature attribute of the at least one product feature from the bill of materials comprises:

4. The method of claim 3, wherein the bill of materials further includes a hierarchy identification for each product structure of the plurality of product structures, the plurality of product structures being divided into a plurality of hierarchies, the hierarchy identification indicating a hierarchy to which the corresponding product structure belongs, the feature pre-processing table further including a hierarchy identification for the plurality of product features, the hierarchy identification for each product feature being a hierarchy identification for the product structure to which each product feature corresponds;

The generating the feature identifier and the feature attribute of the at least one product feature according to the feature preprocessing table comprises:

generating an initial product feature table according to the feature preprocessing table, wherein the initial product feature table comprises feature identifiers, conversion identifiers, feature attributes and level identifiers of the plurality of product features;

determining a conversion identifier from the initial product feature table to indicate that the corresponding product structure is converted into a feature identifier, a feature attribute and a level identifier of the product feature, so as to obtain the feature identifier, the feature attribute and the level identifier of the at least one product feature;

and generating a target product feature table, wherein the target product feature table comprises a feature identifier, a feature attribute and a hierarchy identifier of the at least one product feature.

5. An apparatus for determining inspection requirements for a product, the apparatus comprising:

the first acquisition module is used for acquiring the characteristic attribute of the product characteristic corresponding to the first product structure included in the target product from the target product characteristic table for the target product to be inspected, wherein the characteristic attribute is used for indicating the inspection operation type of the first product structure; the target product feature table comprises feature attributes of at least one product feature, the at least one product feature corresponds to at least one product structure of the target product one by one, the at least one product structure comprises the first product structure, the feature attributes comprise a scanning type, a visual type, a counting type and a metering type, the scanning type is used for checking through a pattern identification code on the scanning product structure, the scanning result is a numerical reading of the scanned pattern identification code, the visual type is checked through a manual or machine vision observation mode, the visual result is a self-defined enumeration type, the counting type is checked through a function test mode, the counting result is a Boolean value reading, the metering type is checked through a detection value collecting mode, and the metering result is a quantifiable numerical type;

The second obtaining module is used for obtaining a logic operation rule corresponding to the product structure configuration of the first product structure from the logic operation rule table, wherein the logic operation rule corresponding to the product structure configuration of the first product structure is used for marking the product structure configuration of the first product structure, and the logic operation rule corresponding to the product structure configuration of the first product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifiers; the product series to which the target product belongs comprises a plurality of versions of products, the material configurations of the different versions of products are different, the plurality of variable identifications are used for indicating a plurality of materials contained in the plurality of versions of products, a variable array corresponding to each variable identification in the plurality of variable identifications comprises at least one array element, at least one array element corresponding to each variable identification is used for indicating at least one variable configuration identification corresponding to each variable identification, at least one variable configuration identification corresponding to each variable identification is used for indicating at least one material configuration contained in the corresponding materials for assembling the plurality of versions of products, and the logic operation rule table comprises logic operation rules corresponding to each material in the plurality of materials;

6. An apparatus for identifying a product, the apparatus comprising:

the generating module is used for generating a feature identifier and a feature attribute of at least one product feature in a one-to-one correspondence or cutting mode according to the bill of materials, wherein the at least one product feature corresponds to at least one product structure to be identified in the plurality of product structures one by one, and the feature attribute of each product feature is used for indicating the inspection operation type of the corresponding product structure; the characteristic attributes comprise a scanning type, a visual type, a counting type and a metering type, wherein the scanning type is used for detecting through a scanning mode, the visual type is used for detecting through an observing mode, the counting type is used for detecting through a function test mode, and the metering type is used for detecting through a detection value collecting mode;

The determining module is used for determining a logic operation rule corresponding to the product structure configuration of each product structure, wherein the logic operation rule corresponding to the product structure configuration of each product structure is used for identifying the product structure configuration of each product structure, and the logic operation rule corresponding to the product structure configuration of each product structure is constructed by utilizing a variable array corresponding to a plurality of variable identifiers; the product series to which the target product belongs comprises a plurality of versions of products, the material configurations of the different versions of products are different, the plurality of variable identifiers are used for indicating a plurality of materials contained in the plurality of versions of products, a variable array corresponding to each variable identifier in the plurality of variable identifiers comprises at least one array element, at least one array element contained in the variable array corresponding to each variable identifier is used for indicating at least one variable configuration identifier corresponding to each variable identifier, and at least one variable configuration identifier corresponding to each variable identifier is used for indicating at least one material configuration contained in the corresponding materials for assembling the plurality of versions of products;

the identification module is used for identifying each product structure by utilizing the characteristic identification and the characteristic attribute of the product characteristic corresponding to each product structure and the corresponding logic operation rule of the product structure configuration of each product structure for each product structure.

7. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, which computer program, when executed by the processor, implements the method of claim 1 or any of claims 2-4.

8. A computer readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the method of claim 1 or any of claims 2-4.