CN114782125A

CN114782125A - Product configuration method, device, computer equipment and storage medium

Info

Publication number: CN114782125A
Application number: CN202210324292.9A
Authority: CN
Inventors: 黄博; 姜珊珊; 杨炳凤; 许晗
Original assignee: Kingdee Software China Co Ltd
Current assignee: Kingdee Software China Co Ltd
Priority date: 2022-03-30
Filing date: 2022-03-30
Publication date: 2022-07-22

Abstract

The application relates to a product configuration method, a product configuration device, a computer device and a storage medium. The method comprises the following steps: acquiring a material incidence relation and a parameter incidence relation, and determining demand information corresponding to a product to be configured; searching associated material information associated with the demand information from preset template material information according to the material association relation; determining a target associated parameter in the associated material information according to the association relationship between the demand information and the parameter; and obtaining a product configuration result corresponding to the product to be configured according to the demand information, the associated material information and the target associated parameter. By adopting the method, the configuration efficiency of product configuration can be improved.

Description

Product configuration method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to a product configuration method and apparatus, a computer device, and a storage medium.

Background

With the development of computer technology, a technology for individually customizing product configuration requirements of users appears, so that for different product configuration requirements, all materials of a product need to be configured respectively, a corresponding bill of materials needs to be established, and the product is produced according to the bill of materials.

At present, before personalized customization of products, a user is required to provide more detailed product configuration requirements, the more detailed product configuration requirements are created into a super bill of materials (full configuration BOM) form, items in the super bill of materials are associated with items in a configurator one by one, and finally, the product configuration requirements of the user are selected from the associated configurator to obtain a bill of materials with finished product configuration.

However, the product configuration needs to be selected and matched only after the items in the super bill of materials and the items in the configurator are associated one by one, so that the efficiency of product configuration is greatly reduced.

Disclosure of Invention

In view of the above, it is necessary to provide a product configuration method, an apparatus, a computer device, a computer readable storage medium, and a computer program product, which can improve efficiency of product configuration, in view of the above technical problems.

In a first aspect, the present application provides a method of product configuration. The method comprises the following steps:

acquiring a material incidence relation and a parameter incidence relation, and determining demand information corresponding to a product to be configured;

searching associated material information associated with the demand information from preset template material information according to the material association relation;

determining a target association parameter in the associated material information according to the association relationship between the demand information and the parameter;

and obtaining a product configuration result corresponding to the product to be configured according to the demand information, the associated material information and the target associated parameter.

In one embodiment, determining requirement information corresponding to a product to be configured includes: acquiring the product requirement of a product to be configured; determining a type of the product demand; the types comprise a text type and a voice type; when the product requirement is of a text type, extracting information of the product requirement in a first natural language processing mode corresponding to the text type to obtain corresponding requirement information; and when the product requirement is of a voice type, extracting information of the product requirement in a second natural language processing mode corresponding to the voice type to obtain corresponding requirement information.

In one embodiment, the demand information includes a demand material identifier; the associated material information comprises an associated material identifier and an associated parameter; according to the material association relationship, searching associated material information associated with the demand information from preset template material information, wherein the method comprises the following steps: determining at least one associated material identifier associated with the required material identifier according to the material association relation; and acquiring template material information, and searching at least one associated parameter corresponding to each associated material identifier from the template material information.

In one embodiment, determining the target associated parameter in the associated material information according to the requirement information and the parameter association relationship includes: according to the demand parameters in the demand information, candidate association parameters associated with the demand parameters are searched from the parameter association relation; and screening out target candidate associated parameters matched with the associated parameters in the associated material information from the candidate associated parameters, and taking the target candidate associated parameters as target associated parameters corresponding to the demand parameters.

In one embodiment, the material association relationship is determined by: acquiring a product structure of a preset product corresponding to the preset product, at least one template material identifier and a material parameter configuration rule; and determining the incidence relation between each template material identifier in at least one template material identifier according to the product structure, and obtaining the material incidence relation corresponding to the preset product according to the incidence relation between each template material identifier.

In one embodiment, the parameter association relationship is determined by: determining a key template material identifier in at least one template material identifier, and determining at least one associated template material identifier associated with the key template material identifier according to a material association relation; determining the associated template parameters corresponding to each associated template material identifier, and screening the target associated template parameters corresponding to each associated template material identifier from the associated template parameters according to a material parameter configuration rule; and obtaining a parameter association relation corresponding to the preset product based on the key template parameter and the target association template parameter.

In one embodiment, the material parameter configuration rule includes a mutual exclusion condition, an inclusion condition, and a binding condition, and the target associated template parameter is obtained by screening the associated template parameters based on at least one of the mutual exclusion condition, the inclusion condition, and the binding condition.

In a second aspect, the present application further provides a product configuration apparatus. The device comprises:

the information acquisition module is used for acquiring the material incidence relation and the parameter incidence relation and determining the demand information corresponding to the product to be configured;

the material determining module is used for searching the associated material information associated with the demand information from preset template material information according to the material association relation;

the parameter determining module is used for determining a target association parameter in the associated material information according to the association relationship between the demand information and the parameter;

and the result output module is used for obtaining a product configuration result corresponding to the product to be configured according to the demand information, the associated material information and the target associated parameters.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor realizes the following steps when executing the computer program:

determining a target associated parameter in the associated material information according to the association relationship between the demand information and the parameter;

In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of:

In a fifth aspect, the present application further provides a computer program product. Computer program product comprising a computer program which, when executed by a processor, performs the steps of:

According to the product configuration method, the product configuration device, the computer equipment, the storage medium and the computer program product, the material association relation and the parameter association relation are obtained, the requirement information corresponding to the product to be configured is determined, and then the associated material information associated with the requirement information is quickly searched from the preset template material information according to the material association relation, so that the target associated parameter in the associated material information can be determined according to the requirement information and the parameter association relation. And finally, directly obtaining a product configuration result corresponding to the product to be configured through the demand information, the associated material information and the target associated parameter. Because the associated materials in the preset template material information are searched through the material association relationship and then the target associated parameters corresponding to the associated materials are determined through the parameter association relationship, compared with the traditional mode that items in the super material list are associated with items in the configurator one by one and then matching is carried out from the associated configurator, the method and the device for configuring the super materials reduce the difficulty of product configuration and further greatly improve the efficiency of product configuration.

In addition, all the associated material information corresponding to the demand information can be directly determined through the material association relationship, namely, the user provides more detailed demand information of the product to be configured differently, so that the configuration of the corresponding product can be realized, and the threshold of personalized customization for the user is reduced.

Drawings

FIG. 1 is a diagram of an application environment of a product configuration method in one embodiment;

FIG. 2 is a schematic flow chart diagram illustrating a method for product configuration in one embodiment;

FIG. 3 is a schematic diagram illustrating the establishment of associations according to one embodiment;

FIG. 4 is a schematic diagram of a product configuration in one embodiment;

FIG. 5 is a block diagram of a product placement device in one embodiment;

FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.

The product configuration method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 and the server 104 may be used alone to execute the product configuration method provided in the embodiment of the present application, or may be used in cooperation with the product configuration method provided in the embodiment of the present application. Taking the example that the terminal 102 and the server 104 cooperate to execute the product configuration method as an example for description, the terminal 102 is configured to determine the requirement information corresponding to the product to be configured, and send the requirement information to the server 104. The server 104 pre-stores template material information, and is configured to search for a target association parameter associated with the demand information from preset template material information through the material association relationship and the parameter association relationship, further obtain a product configuration result corresponding to a product to be configured, and return the product configuration result to the terminal 102. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.

In one embodiment, as shown in fig. 2, a product configuration method is provided, which is described by taking the method as an example applied to a computer device, which may be a terminal or a server in fig. 1. The product configuration method comprises the following steps:

step 202, obtaining the material incidence relation and the parameter incidence relation, and determining the demand information corresponding to the product to be configured.

Wherein, the material represents all parts required for producing a specific product in the industrial manufacturing process, such as raw materials, semi-finished parts of the parts, auxiliary articles and the like; the material incidence relation represents the incidence relation formed by structural composition and structural connection among different materials, for example, a set of table and chair consists of a table and a stool, table legs are connected with four corners of the table, and the like, and for example, a mobile phone screen needs a mobile phone back plate, two mobile phone short side plates, two mobile phone long side plates and the like; the parameter association relationship represents an association relationship between material parameters corresponding to the materials after the materials are associated with each other, for example, when the material parameter of the mobile phone screen is 5.6 inches, the material parameter of the mobile phone back plate associated with the mobile phone screen is also 5.6 inches.

Specifically, the computer device obtains the corresponding material association relationship and parameter association relationship through the association relationship database. The computer equipment obtains demand information corresponding to the product demand by determining the product demand corresponding to the product to be configured and extracting information of the product demand, wherein the product demand is an actual product configuration demand provided by a user, and the demand information comprises demand material identification and demand parameters. For example, the product requirement of the user is that "a mobile phone with 256G of memory and 5.6 inches of screen needs to be configured", after the information of the product requirement is extracted, the obtained requirement material identifier comprises a mobile phone memory and a mobile phone screen, the requirement parameter of the mobile phone memory is "256G", and the requirement parameter of the mobile phone screen is "5.6 inches".

In one embodiment, the computer device determines that the product requirements of the product to be configured are stored in advance, displays the product requirements to the user through the interface, and responds to the selection operation of the user on the interface to directly determine the requirement information corresponding to the product requirements.

And 204, searching the associated material information associated with the demand information from the preset template material information according to the material association relation.

The template material information is a pre-created large and complete bill of materials, and can be used for embodying the hierarchical structure, the quantity relation and the like of different parts. The template material information may include all template material identifiers required for the product to be configured, and template parameters corresponding to each template material identifier. The demand information comprises a demand material identifier corresponding to the user demand and demand parameters corresponding to the demand material identifier.

Specifically, the computer equipment searches for the required material identifier in the required information from preset template material information according to the required material identifier in the required information, and determines a related material identifier associated with the required material identifier; meanwhile, the computer equipment extracts the associated parameters corresponding to the associated material identifications from preset template material information according to the associated material identifications. Therefore, the associated material information associated with the demand information can be obtained by integrating the associated material identifier and the associated parameter corresponding to the associated material identifier. For example, when the required material identifier is determined to be the table, the associated material identifiers such as the screw a and the screw B can be found from the preset template material information; meanwhile, the computer equipment respectively extracts the relevant parameters corresponding to the screw A and the relevant parameters corresponding to the screw B from the template material information.

And step 206, determining target associated parameters in the associated material information according to the association relationship between the demand information and the parameters.

Specifically, the computer device determines, for each associated material identifier of the multiple associated material identifiers in the associated material information, an associated parameter corresponding to the current associated material identifier. And the computer equipment searches for the associated parameters corresponding to the current associated material identifier according to the requirement parameters and the parameter association relation in the requirement information, determines the target associated parameters associated with the requirement parameters, and takes the current associated material identifier corresponding to the target associated parameters as the target associated material identifier. Referring to the above example, if the association parameters of the "screw a" in the association material identifier include "5 in number", "a material is a", and the like, "the association parameters of the" screw B "include" 6 in number "," B in material, and the like, and if the requirement parameter of the requirement material identifier "table" is "5 cm in thickness", the computer device determines that the target association parameters of the target association material identifier "screw a" are "5 in number" and "a material is a" according to the parameter association relationship; if the required parameters of the required material identifier 'table plate' are 'thickness 8 cm', the computer equipment determines that the target associated parameters of the target associated material identifier 'screw B' are 'quantity 6' and 'material B' according to the parameter association relation.

And 208, obtaining a product configuration result corresponding to the product to be configured according to the demand information, the associated material information and the target associated parameter.

Specifically, the computer device can directly generate a product configuration result of the product to be configured, that is, a bill of materials of the product to be configured, according to the demand information, the target associated material identifier in the associated material information, and the target associated parameter corresponding to the target associated material identifier. According to the product configuration result, product cost quotation, product production and manufacturing and the like can be directly carried out on the product to be configured.

In one embodiment, the computer device can generate a bill of materials of a specific type according to actual requirements of users and product configuration results, and correspondingly process products to be configured according to bills of materials of different types. For example, when the bill of materials is designed, the computer device can generate information including product names, product structures, detailed tables, summary tables, product use instructions, packing lists and the like according to the product configuration results, and when the bill of materials is manufactured, the computer device can generate tooling information including the assembly sequence, the labor hour quota, the material quota and relevant clamps, molds and the like of the products to be configured.

According to the product configuration method, the material incidence relation and the parameter incidence relation are obtained, the demand information corresponding to the product to be configured is determined, and then the incidence material information associated with the demand information is quickly searched from the preset template material information according to the material incidence relation, so that the target incidence parameter in the incidence material information can be determined according to the demand information and the parameter incidence relation. And finally, directly obtaining a product configuration result corresponding to the product to be configured through the demand information, the associated material information and the target associated parameter. Because the associated materials in the preset template material information are searched through the material association relationship and then the target associated parameters corresponding to the associated materials are determined through the parameter association relationship, compared with the traditional mode that items in the super material list are associated with items in the configurator one by one and then matching is carried out from the associated configurator, the method and the device for configuring the super materials reduce the difficulty of product configuration and further greatly improve the efficiency of product configuration.

In one embodiment, determining the demand information corresponding to the product to be configured includes: acquiring the product requirement of a product to be configured; determining the type of product demand; the types comprise a text type and a voice type; when the product requirement is a text type, extracting information of the product requirement through a first natural language processing mode corresponding to the text type to obtain corresponding requirement information; and when the product requirement is of a voice type, extracting information of the product requirement in a second natural language processing mode corresponding to the voice type to obtain corresponding requirement information.

The natural language processing is a way of quantitatively analyzing language information with the support of a computer.

Specifically, the computer device determines the type of the product demand according to the product demand of the product to be configured, wherein the type of the product demand comprises a text type and a voice type. When the computer equipment determines that the type of the product requirement is a text type, respectively marking the participles in the text in a first natural language processing mode; and matching the participles in the text according to a preset key participle database, namely extracting information of product requirements, and taking the matched participles as requirement information corresponding to the product to be configured. For example, in the above example, the product requirement of the user is "configure a mobile phone with a memory of 256G and a screen of 5.6 inches", after the segmentation words in the text are respectively marked, obtain "configure", "one", "memory of 256G", "screen of 5.6 inches", and "mobile phone", match the segmentation words in the text by using the key segmentation database, obtain the matched segmentation words of "memory of 256G", "screen of 5.6 inches", and "mobile phone", and use these matched segmentation words as the requirement information corresponding to the mobile phone.

And when the computer equipment determines that the type of the product requirement is a voice type, performing feature extraction processing on the voice through a second natural language processing mode to obtain acoustic features corresponding to the product requirement. And the computer equipment obtains the voice content corresponding to the product requirement according to the phonemes in the acoustic characteristics and the phoneme posterior probability corresponding to each phoneme. And identifying the keywords in the voice content according to a preset voice keyword database to obtain the demand information corresponding to the product to be configured. Wherein the phoneme posterior probability is used for expressing a speech content feature of the speech.

In the embodiment, the natural language processing method can be used for rapidly identifying different types of product requirements without performing format conversion on the product requirements in a complicated manual mode, so that the threshold for performing personalized customization on users is greatly reduced, and the product configuration efficiency is improved.

In one embodiment, the demand information includes a demand material identification; the associated material information comprises an associated material identifier and associated parameters; according to the material association relation, searching associated material information associated with the demand information from preset template material information, wherein the method comprises the following steps: determining at least one associated material identifier associated with the required material identifier according to the material association relation; and acquiring template material information, and searching at least one associated parameter corresponding to each associated material identifier from the template material information.

Specifically, the computer device determines a material identifier matched with the demand material identifier and all material parameters corresponding to the material identifier according to the demand material identifier in the demand information, wherein the matched material identifier represents an identifier corresponding to a material identical to the demand material identifier. For example, in the above example, when it is determined that the required material identifier is "mobile phone screen", all material parameters corresponding to the material identifier "mobile phone screen" and the "mobile phone screen", such as "4.6 inches" and "5.6 inches", may be found from the preset template material information. Further, after determining the material identifier matched with the required material identifier, the computer device continues to search from preset template material information according to the material association relationship, and determines the associated material identifier associated with the material identifier and the associated parameter corresponding to the associated material identifier. Referring to the above example, it may be determined that the associated material identifier associated with the "mobile phone screen" is "mobile phone backplane", and the associated parameters corresponding to the "mobile phone backplane" include "4.6 inches" and "5.6 inches". Further, the computer device synthesizes the associated material identifiers and at least one associated parameter corresponding to each associated material identifier to obtain associated material information associated with the demand information.

In the embodiment, the associated material information associated with the demand information can be directly searched from the preset template material information through the material association relation, so that the target associated parameter associated with the demand information can be quickly searched through the associated material information subsequently, and the product configuration efficiency is improved.

In one embodiment, determining a target association parameter in the associated material information according to the association relationship between the demand information and the parameter includes: according to the demand parameters in the demand information, candidate association parameters associated with the demand parameters are searched from the parameter association relation; and screening out target candidate correlation parameters matched with the correlation parameters in the correlation material information from the candidate correlation parameters, and taking the target candidate correlation parameters as target correlation parameters corresponding to the demand parameters.

Specifically, the computer device determines candidate associated parameters associated with the demand parameters according to the demand parameters and the parameter association relation in the demand information, searches for the corresponding associated parameters in the associated material information, obtains target candidate associated parameters matched with the associated parameters in the associated material information, wherein the matched target candidate associated parameters are the same parameters as the candidate associated parameters, and uses the target candidate associated parameters as the target associated parameters corresponding to the demand parameters. Referring to the above example, if the required parameter of the "table" is "thickness 5 cm", the "number of the" screws a "is 5" as the candidate associated parameter associated with the required parameter according to the parameter association relationship; and searching for the associated parameters in the associated material information, wherein the number of the searched screws A is 5, namely the parameters same as the candidate associated parameters are used as target associated parameters.

In the embodiment, the target associated parameter corresponding to the demand parameter can be quickly found out by directly searching for the associated parameter in the associated material information through the parameter associated relationship and the demand parameter, so that the product configuration efficiency is improved.

In one embodiment, the material association is determined by: acquiring a product structure of a preset product corresponding to the preset product, at least one template material identifier and a material parameter configuration rule; and determining the incidence relation between each template material identifier in at least one template material identifier according to the product structure, and obtaining the material incidence relation corresponding to the preset product according to the incidence relation between each template material identifier.

The preset product is generally a product which can be configured by an enterprise as required, for example, an enterprise A can configure a mobile phone, an automobile and the like, and an enterprise B can configure equipment such as furniture and the like; the material parameter configuration rule is a rule for setting a parameter value range between materials after determining an association relation between the materials, and if a mobile phone screen is 5.6 inches, the size of the mobile phone back panel needs to be the same as that of the mobile phone screen, the length of the long side panel needs to be the same as that of the mobile phone screen, the length of the short side panel needs to be the same as that of the mobile phone screen, and a mobile phone memory selects 256G with large capacity.

Specifically, the computer device obtains a product structure of a preset product corresponding to the preset product and at least one template material identifier, wherein the product structure is a connection relation, an inclusion relation and the like between parts of the preset product, for example, a short side plate and a long side plate of a mobile phone are connected to a back plate of the mobile phone, and a long side plate of the mobile phone includes a switch key, a sound adjusting key and the like; the template material identifier represents all parts required for forming a preset product, for example, when the preset product is a mobile phone, the template material identifier represents all parts required for configuring the mobile phone.

Further, the computer device determines an incidence relation between each template material identifier of the plurality of template material identifiers according to a product structure of a preset product and at least one template material identifier forming the preset product, and connects the template material identifiers having the incidence relation to form a material incidence relation corresponding to the preset product. For example, the association relationship of all parts in the mobile phone is determined according to the product structure of the mobile phone and all template material identifiers forming the mobile phone, and finally the material association relationship corresponding to the mobile phone is obtained. It is easy to understand that when the product structure of the preset product is in a fixed form, the obtained material association relation corresponding to the preset product is also in a fixed form.

In one embodiment, the computer device obtains the template parameters of the preset product through a natural language processing method, and determines the material parameter configuration rule of the preset product according to the preset parameter configuration model and the template parameters. For example, the parameter configuration model may be "when the material 1 is the length a, the material 2 is the length b and the number of the materials 3 is c", "when the material 1 is connected with the material 2 at a right angle, the material of the material 3 is d", and the like, and when the specific template parameters are input into the parameter configuration model, the material parameter configuration rule of the preset product can be obtained. It is easy to understand that the parameter configuration model is not limited to the above example, but is also applicable to complex scenes such as mutual exclusion among various parameters, parameter transformation, implicit function, and the like. Therefore, format conversion of template parameters of the preset product is not needed in a complex manual mode, and construction of preset template material information is simplified.

In one embodiment, the computer device responds to the setting of the material parameter configuration rule by the user, namely adding a new configuration condition on the original parameter configuration model. For example, the original parameter configuration model is added as "when the material 1 is the length a, the material 2 is the length, the number of the material 3 is c, or the number of the material 3 is c 1". Therefore, the flexibility of personalized customization according to the product requirements of the user is improved.

In one embodiment, as shown in fig. 3, fig. 3 is a schematic diagram illustrating a principle of association establishment. The computer equipment preliminarily defines the preset product, maintains the basic information of the preset product and builds the product structure of the preset product according to the predefined part structure.

In the embodiment, the material association relation of the preset product is determined through the product structure of the preset product, so that the parameter association relation corresponding to the preset product is accurately obtained subsequently on the basis of the material association relation, and the accuracy of product configuration is improved. Meanwhile, the material incidence relation of the preset product is determined through the product structure, and when the product structure is similar or the functions of product parts are the same, the new template material identification can be directly subjected to incidence judgment on the basis of the original material incidence relation, so that the original material incidence relation is expanded, and the problem of material omission in the process of configuring a new product is solved.

In one embodiment, the parameter association is determined by: determining a key template material identifier in the at least one template material identifier, and determining at least one associated template material identifier associated with the key template material identifier according to the material association relationship; determining the associated template parameters corresponding to each associated template material identifier, and screening out the target associated template parameters corresponding to each associated template material identifier from the associated template parameters according to a material parameter configuration rule; and obtaining a parameter association relation corresponding to the preset product based on the key template parameter and the target association template parameter.

The relevant template parameters corresponding to the relevant template material identifiers are preset by an enterprise, for example, the relevant template parameters of a mobile phone screen are set to be 4.6 inches and 5.6 inches, the relevant template parameters of a mobile phone back plate are set to be 4.6 inches, 5.6 inches and 8 inches, and the relevant template parameters of a mobile phone memory are set to be 128G, 256G and the like.

Specifically, the computer device selects the template material identifiers according to the product structure of the preset product, and takes important parts in the template material identifiers as the key template material identifiers, so that the matching time of the template materials is reduced when at least one associated template material identifier associated with the key template material identifiers is determined subsequently. After determining the key template material identifier, the computer device selects a key template parameter corresponding to the key template material identifier, for example, after taking a mobile phone screen as the key template material identifier, selects 5.6 inches as the key template parameter of the mobile phone screen.

Further, the computer device screens out target associated template parameters corresponding to each associated template material identifier from the associated template parameters according to the pre-obtained material parameter configuration rule and the key template parameters. For example, when the key template parameter of the mobile phone screen is 5.6 inches, according to the material parameter configuration rule mentioned above, 5.6 inches are respectively screened out from the associated template parameters of the mobile phone backboard as the target associated template parameter, and 256G are respectively screened out from the associated template parameters of the mobile phone memory as the target associated template parameter. When the computer equipment determines the key template parameters and the target associated template parameters, each key template parameter is associated with the corresponding target associated template parameter to obtain a parameter association relation corresponding to the whole preset product. It is easy to understand that when the key template parameters do not change, the obtained parameter association relationship corresponding to the preset product is usually in a fixed form.

The material parameter configuration rule can be a rule for calculating and setting a parameter value range between materials according to a binding condition, an inclusion condition and a mutual exclusion condition in the material association relationship.

Specifically, after the computer device determines the associated template material included in the key template material according to the inclusion condition in the material parameter configuration, the associated template parameter corresponding to the associated template material is calculated and set to obtain a candidate associated template parameter corresponding to the key template parameter, the computer device searches the associated template parameter, and the associated template parameter identical to the candidate associated template parameter is used as the target associated template parameter corresponding to each associated template material identifier. For example, when the material parameter configuration rule is "when the material 1 is the length a, the material 2 is the length b, and the number of the material 3 is c", it is represented that the material 1 includes the material 2 and the material 3, and at this time, the associated template parameters of the material 2 and the material 3 can be obtained according to the key template parameters of the material 1. Therefore, the target associated template parameters corresponding to the key template material identification can be quickly searched through the material parameter configuration rule.

In the embodiment, the key template parameters of the key template material identifications are determined and the target associated template parameters corresponding to each associated template material identification are quickly screened out by taking the material associated relationship as a basis and according to the material parameter configuration rule, so that the parameter associated relationship corresponding to the preset product can be quickly obtained, the product configuration result corresponding to the product to be configured can be accurately obtained through the material associated relationship and the parameter associated relationship, and the accuracy of product configuration is greatly improved.

In one embodiment, as shown in FIG. 4, FIG. 4 is a schematic diagram of a product configuration. In response to voice input or text input of the user on the demand information, the computer device performs information extraction, voice recognition, automatic summarization and the like on the acquired demand information through a natural Language processing technology, such as nlp (natural Language processing), so as to recognize keywords in the demand information, extract information such as product parameters and specifications in the keywords, and transmit the recognized demand information to the intelligent device. The intelligent device matches the identified demand information with associated material information in preset template material information, realizes many-to-one and one-to-many matching of materials through parameter matching dimensionality, and analyzes and decides the matched demand information through binding relations, inclusion relations, mutual exclusion relations and the like among the materials to obtain a product configuration result corresponding to a product to be configured.

It should be understood that, although the steps in the flowcharts related to the embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application further provides a product configuration device for implementing the product configuration method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the product configuration device provided below can be referred to the limitations of the product configuration method in the foregoing, and details are not described here.

In one embodiment, as shown in FIG. 5, there is provided a product configuration apparatus 500 comprising: an information acquisition module 502, a material determination module 504, a parameter determination module 506, and a result output module 508, wherein:

the information acquisition module 502 is configured to acquire a material association relationship and a parameter association relationship, and determine demand information corresponding to a product to be configured;

the material determining module 504 is configured to search, according to the material association relationship, associated material information associated with the demand information from preset template material information;

a parameter determining module 506, configured to determine a target associated parameter in the associated material information according to the requirement information and the parameter association relationship

And the result output module 508 is configured to obtain a product configuration result corresponding to the product to be configured according to the demand information, the associated material information, and the target associated parameter.

In one embodiment, the information obtaining module 502 is further configured to obtain product requirements of a product to be configured; determining the type of product demand; the types comprise a text type and a voice type; when the product requirement is of a text type, extracting information of the product requirement in a first natural language processing mode corresponding to the text type to obtain corresponding requirement information; and when the product requirement is a voice type, extracting information of the product requirement in a second natural language processing mode corresponding to the voice type to obtain corresponding requirement information.

In one embodiment, the demand information includes a demand material target; the associated material information comprises an associated material identifier and associated parameters; the material determining module 504 is further configured to determine at least one associated material identifier associated with the required material identifier according to the material association relationship; and acquiring template material information, and searching at least one associated parameter corresponding to each associated material identifier from the template material information.

In an embodiment, the parameter determining module 506 is further configured to search a candidate association parameter associated with the demand parameter from the parameter association relationship according to the demand parameter in the demand information; and screening out target candidate correlation parameters matched with the correlation parameters in the correlation material information from the candidate correlation parameters, and taking the target candidate correlation parameters as target correlation parameters corresponding to the demand parameters.

In one embodiment, the product configuration apparatus 500 further includes an association determining module 510, configured to obtain a product structure of a preset product corresponding to the preset product, at least one template material identifier, and a material parameter configuration rule; and determining the incidence relation between each template material identifier in at least one template material identifier according to the product structure, and obtaining the material incidence relation corresponding to the preset product according to the incidence relation between each template material identifier.

In an embodiment, the association determining module 510 is further configured to determine a key template material identifier of the at least one template material identifier, and determine, according to the material association, at least one associated template material identifier associated with the key template material identifier; determining the associated template parameters corresponding to each associated template material identifier, and screening out the target associated template parameters corresponding to each associated template material identifier from the associated template parameters according to a material parameter configuration rule; and obtaining a parameter association relation corresponding to the preset product based on the key template parameter and the target association template parameter.

In an embodiment, the association relation determining module 510 is further configured to determine that the material parameter configuration rule includes a mutual exclusion condition, an inclusion condition, and a binding condition, and the target association template parameter is obtained by screening the association template parameters based on at least one of the mutual exclusion condition, the inclusion condition, and the binding condition.

The modules in the product configuration device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O for short), a communication interface, a display unit, and an Input device. The processor, the memory and the input/output interface are connected by a system bus, and the communication interface, the display unit and the input device are connected by the input/output interface to the system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a product configuration method. The display unit of the computer equipment is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device, the display screen can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.

In an embodiment, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The computer instructions are read by a processor of a computer device from a computer-readable storage medium, and the computer instructions are executed by the processor to cause the computer device to perform the steps in the above-mentioned method embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. Any reference to memory, databases, or other media used in the embodiments provided herein can include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method of product configuration, the method comprising:

2. The method according to claim 1, wherein the determining the requirement information corresponding to the product to be configured comprises:

acquiring the product requirement of a product to be configured;

determining a type of the product demand; the types comprise a text type and a voice type;

when the product requirement is of a text type, extracting information of the product requirement through a first natural language processing mode corresponding to the text type to obtain corresponding requirement information;

and when the product requirement is of a voice type, extracting information of the product requirement in a second natural language processing mode corresponding to the voice type to obtain corresponding requirement information.

3. The method of claim 1, wherein the demand information includes a demand material identification; the associated material information comprises an associated material identifier and an associated parameter; the searching for the associated material information associated with the demand information from the preset template material information according to the material association relationship comprises:

determining at least one associated material identifier associated with the required material identifier according to the material association relation;

and acquiring template material information, and searching at least one associated parameter corresponding to each associated material identifier from the template material information.

4. The method according to claim 1, wherein the determining a target associated parameter in the associated material information according to the requirement information and the parameter association relationship comprises:

according to the demand parameters in the demand information, candidate association parameters associated with the demand parameters are searched from the parameter association relation;

and screening out target candidate associated parameters matched with the associated parameters in the associated material information from the candidate associated parameters, and taking the target candidate associated parameters as target associated parameters corresponding to the demand parameters.

5. The method of claim 1, wherein the material association is determined by:

acquiring a product structure of a preset product corresponding to the preset product, at least one template material identifier and a material parameter configuration rule;

and determining the incidence relation between each template material identifier in at least one template material identifier according to the product structure, and obtaining the material incidence relation corresponding to the preset product according to the incidence relation between each template material identifier.

6. The method of claim 1, wherein the parameter association is determined by:

determining a key template material identifier in at least one template material identifier, and determining at least one associated template material identifier associated with the key template material identifier according to a material association relation;

determining the associated template parameters corresponding to each associated template material identifier, and screening the target associated template parameters corresponding to each associated template material identifier from the associated template parameters according to a material parameter configuration rule;

and obtaining a parameter association relation corresponding to the preset product based on the key template parameter and the target association template parameter.

7. The method according to claim 6, wherein the material parameter configuration rule includes a mutual exclusion condition, an inclusion condition, and a binding condition, and the target associated template parameter is obtained by screening from the associated template parameters based on at least one of the mutual exclusion condition, the inclusion condition, and the binding condition.

8. A product configuration apparatus, the apparatus comprising:

and the result output module is used for obtaining a product configuration result corresponding to the product to be configured according to the demand information, the associated material information and the target associated parameter.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.