CN116305895A - Product model generation method, device, computer equipment and storage medium - Google Patents
Product model generation method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The present application relates to a product model generation method, apparatus, computer device, storage medium and computer program product. The method comprises the following steps: obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing; fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product; based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product; and obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product. The method can improve the generation efficiency of the product model.
Description
Technical Field
The present application relates to the field of computer technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for generating a product model.
Background
The product model refers to a data file containing structural information, parameter information and material information of a product, and can be used for quickly generating a target bill of materials meeting the target performance parameters according to the target performance parameters, and quickly converting the target performance parameters of the product into the target bill of materials according to the target bill of materials, wherein the product formed by the target bill of materials meets the requirements of the target performance parameters.
In the traditional technology, research and development personnel draw design drawings of products by using CAD (Computer Aided Drafting, computer aided drawing) software, then analyze performance parameters of different materials based on a plurality of design drawings of the products, and manually construct a product model of the products in a system by combining analysis results and experience, wherein the analysis process is complex and tedious, so that the generation efficiency of the product model is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a product model generating method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve the efficiency of product model generation.
In a first aspect, the present application provides a method of generating a product model. The method comprises the following steps:
obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product;
based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product;
And obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
In one embodiment, the obtaining the target drawing corresponding to the target product, and the design information corresponding to each design scheme in the target drawing includes:
obtaining a target drawing corresponding to the target product; the target drawing comprises a plurality of design schemes corresponding to the target product;
acquiring structure information corresponding to each design scheme and parameter information corresponding to each material in the structure information;
and obtaining the design information corresponding to the design scheme based on the structure information corresponding to the design scheme and the parameter information corresponding to each material in the structure information.
In one embodiment, the fusing the parameter information of the same material in the plurality of design information to obtain the parameter list and the material list corresponding to the target product includes:
acquiring parameter information corresponding to materials with the same structural information in each piece of design information;
combining parameter information corresponding to materials with the same structure information in the plurality of design information to obtain a parameter list corresponding to the target product;
And obtaining a bill of materials corresponding to the target product based on the design scheme and the parameter list.
In one embodiment, the obtaining the bill of materials corresponding to the target product based on the design scheme and the parameter list includes:
based on the design scheme, acquiring a material identifier corresponding to each piece of parameter information in the parameter list;
and associating each piece of parameter information in the parameter list with a corresponding material identifier to obtain a material list corresponding to the target product.
In one embodiment, the analyzing the relationship between the parameter information of different materials based on the plurality of design information to obtain the constraint condition corresponding to the target product includes:
acquiring a material to be compared and a material to be analyzed;
aiming at each piece of design information, acquiring parameters to be compared corresponding to the materials to be compared and parameters to be analyzed corresponding to the materials to be analyzed;
comparing the parameters to be compared and the parameters to be analyzed corresponding to the design information;
if the parameters to be analyzed corresponding to the same parameters to be compared are the same, determining a binding relation between the parameters to be compared and the parameters to be analyzed;
And obtaining constraint conditions corresponding to the target product based on the binding relation.
In one embodiment, if at least one identical parameter to be compared exists, the parameters to be analyzed corresponding to the parameters to be compared are not identical; based on the design information, the relation between the parameter information of different materials is analyzed to obtain the constraint condition corresponding to the target product, and the method further comprises the following steps:
combining the parameters to be analyzed corresponding to the same parameters to be compared in the design information to obtain a parameter set to be analyzed corresponding to the parameters to be compared;
obtaining target to-be-compared parameters in the to-be-compared parameters, comparing to-be-analyzed parameter sets corresponding to each non-target to-be-compared parameter in the to-be-compared parameters with to-be-analyzed parameter sets corresponding to the target to-be-compared parameters, and obtaining reference parameters corresponding to each non-target to-be-compared parameter;
intersection sets are obtained on the reference parameters corresponding to the non-target comparison parameters, and mutual exclusion parameters corresponding to the target comparison parameters are obtained;
based on the target to-be-compared parameters and the mutual exclusion parameters, obtaining mutual exclusion relations corresponding to the target to-be-compared parameters;
Based on the binding relation, obtaining the constraint condition corresponding to the target product comprises the following steps:
and obtaining constraint conditions corresponding to the target product based on the binding relationship and the mutual exclusion relationship.
In one embodiment, the product model generation method further comprises:
generating a product configuration model corresponding to the target product based on the parameter list and the constraint condition in the product model;
acquiring target parameters corresponding to the target product based on the product configuration model;
and obtaining a target bill of materials corresponding to the target parameter based on the target parameter and the bill of materials.
In a second aspect, the present application further provides a product model generating apparatus. The device comprises:
the acquisition module is used for acquiring a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
the fusion module is used for fusing the parameter information of the same materials in the plurality of design information to obtain a parameter list and a material list corresponding to the target product;
the analysis module is used for analyzing the relation between the parameter information of different materials based on a plurality of design information to obtain constraint conditions corresponding to the target products;
And the generating module is used for obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product;
based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product;
and obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product;
based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product;
and obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product;
based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product;
And obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
The product model generation method, the device, the computer equipment, the storage medium and the computer program product acquire a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing, fuse parameter information of the same material in the plurality of design information to acquire a parameter list and a material list corresponding to the target product, analyze the relation among the parameter information of different materials based on the plurality of design information to acquire constraint conditions corresponding to the target product, and acquire a product model corresponding to the target product based on the parameter list, the material list and the constraint conditions corresponding to the target product. The method comprises the steps that design information corresponding to each design scheme in a target drawing is obtained through computer equipment, parameter information of the same materials in the design information is combined to obtain a parameter list corresponding to a product, the obtaining of the design information and the combination of the parameter information are completed through the computer equipment, the generation efficiency of the parameter list is improved, the computer equipment directly obtains material identifiers corresponding to each parameter information in the parameter list from the target drawing, the parameter information is associated with the corresponding material identifiers, namely the accuracy of the material list is improved, the generation efficiency of the material list is improved, the computer equipment analyzes the relation among the parameter information through a set algorithm, the calculation speed of the computer equipment is high, the operation efficiency of the computer equipment is high, the generation efficiency of constraint conditions is improved, compared with the method that the design information of each design scheme in the design drawing is filled in a form manually, the parameter information of the same materials in the form is tidied, the relation among the parameter information of different materials is analyzed, a large amount of time is required to be consumed, errors are easy to occur, the computer equipment executes the method to generate a product model, the time is short, the accuracy is high, and the generation efficiency of the product model is improved.
Drawings
FIG. 1 is an application environment diagram of a method of generating a product model in one embodiment;
FIG. 2 is a flow diagram of a method of generating a product model in one embodiment;
FIG. 3 is a flow chart of a design information acquisition step in one embodiment;
FIG. 4 is a flow diagram of a constraint generating step in one embodiment;
FIG. 5 is a flow chart of a constraint generating step in another embodiment;
FIG. 6 is a schematic diagram of a method of generating a product model in one embodiment;
FIG. 7 is a block diagram showing the structure of a product model generating apparatus in one embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for generating the product model, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal and the server can be independently used for executing the product model generation method provided in the embodiment of the application. The terminal and the server may also cooperate to perform the product model generation method provided in the embodiments of the present application. For example, the computer equipment obtains a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing, fuses parameter information of the same material in the plurality of design information to obtain a parameter list and a material list corresponding to the target product, analyzes the relation between the parameter information of different materials based on the plurality of design information to obtain constraint conditions corresponding to the target product, and obtains a product model corresponding to the target product based on the parameter list, the material list and the constraint conditions corresponding to the target product. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a product model generating method is provided, and the method can be applied to a computer device, wherein the computer device can be a terminal or a server, and the terminal or the server can independently execute the method or can be realized through interaction between the terminal and the server. The embodiment is described by taking the application of the method to a computer device as an example, and includes steps 202 to 208.
Wherein the target product refers to a product type. Such as a computer, a cell phone. The target drawing is a design drawing at least comprising product structure information and parameter information. The target drawing comprises a plurality of design schemes corresponding to target products. The target drawing may be a CAD (Computer Aided Drafting ) drawing. The design scheme refers to a design drawing of the product. The design scheme comprises, but is not limited to, the relation between the product module and the material, the position information of the material, the parameter information of the material, the model of the material, the connection relation between the material and the material, the structural information of the material and the like. The design information refers to information contained in the design scheme. Design information includes, but is not limited to, structural information and material parameter information. The content included in the design information may be set according to actual requirements.
The operator imports the target drawing corresponding to the target product into the computer equipment, wherein the target drawing comprises a plurality of design schemes, and the computer equipment acquires the target drawing and then acquires the design information corresponding to each design scheme in the target drawing.
In one embodiment, an operator imports a plurality of target drawings corresponding to the target product into a computer device, each target drawing includes a design scheme of the target product, and the computer device obtains corresponding design information from the design scheme of each target drawing.
And 204, fusing the parameter information of the same material in the plurality of design information to obtain a parameter list and a material list corresponding to the target product.
Wherein, the material refers to the parts in the equipment. It is understood that the material is an existing unit that can be used directly when producing the target product. In different design drawings, the materials of the same component may be different. For example, the display is composed of a structural frame, a display unit, a scanning control panel, a switching power supply and the like, wherein the display unit is composed of an LED lamp and a driving circuit, the mechanism A is a complete display unit when the display is produced, the display unit is a material in a design drawing of the display manufactured by the mechanism A, the mechanism B is an LED lamp and a driving circuit when the display is produced, the LED lamp is a material in the design drawing of the display manufactured by the mechanism B, and the driving circuit is a material. The parameter information refers to information of the combination of parameters of the material. The parameter information may include one parameter or a plurality of parameters. For example, the parameter information of the screen is (13 inches, capacitive screen, blue light proof). Fusion refers to combining and associating. The parameter list is a data set containing structural information in the target drawing and all parameter information corresponding to the materials. The parameter list may be represented as a tree structure and stored in the form of tables, text, and the like. The bill of materials refers to a data set at least comprising all parameter information in the target drawing and material identifications corresponding to the parameter information. The bill of materials may be stored in the form of tables, text, and the like.
The computer device combines and associates parameter information corresponding to the same materials in the plurality of design information to obtain a parameter list and a material list corresponding to the target product.
In one embodiment, the computer device combines the parameter information of the same material in the plurality of design information to obtain a parameter list corresponding to the target product, obtains a material identifier corresponding to each parameter information in the parameter list based on the plurality of design schemes in the target drawing, and associates the parameter information in the parameter list with the corresponding material identifier to obtain a material list corresponding to the target product.
In one embodiment, the computer device combines the parameter information of the same material in the plurality of design information to obtain a parameter list corresponding to the target product, obtains a product list, obtains a material identifier corresponding to each parameter information in the parameter list from the product list, and associates the parameter information in the parameter list with the corresponding material identifier to obtain a material list corresponding to the target product.
And 206, analyzing the relation among the parameter information of different materials based on a plurality of design information to obtain constraint conditions corresponding to the target product.
The constraint condition refers to the relation between parameter information of different materials and the parameter information. Constraints include, but are not limited to, binding relationships, repulsive relationships, specific relationships, etc., and the number of each relationship is not limited.
The computer equipment compares and analyzes the relation among the parameter information of different materials in different design information to obtain a binding relation, a rejection relation and a comparison relation, and the binding relation, the rejection relation and the comparison relation form constraint conditions corresponding to the target product. For example, there are 3 designs in the target drawing, the parameter information corresponding to the material a in the design 1 is (1, 2), the parameter information corresponding to the material B is (11, 12), the relation between the parameter information of the material a and the parameter information of the material B in the design 1 is a (1, 2) -B (11, 12), the relation between the parameter information of the material a and the parameter information of the material B in the design 2 is a (1, 2) -B (11, 12), and the relation between the parameter information of the material a and the parameter information of the material B in the design 3 is a (2, 3) -B (13, 14), and then the constraint conditions corresponding to the target product are obtained by analyzing the a (1, 2) -B (11, 12), the a (1, 2) -B (11, 12) and the a (2, 3) -B (13, 14).
And step 208, obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
The product model refers to a data file at least comprising a parameter list, a bill of materials and constraint conditions. The product model is used for rapidly generating a product bill of materials meeting the performance parameters according to the performance parameter requirements, and rapidly converting the performance parameters of the product into the bill of materials.
Illustratively, the computer product composes the parameter list, the bill of materials and the constraint condition corresponding to the target product into a product model corresponding to the target product.
In the product model generation method, the target drawing corresponding to the target product and the design information corresponding to each design scheme in the target drawing are obtained, the parameter information of the same material in the plurality of design information is fused to obtain the parameter list and the material list corresponding to the target product, the relation among the parameter information of different materials is analyzed based on the plurality of design information to obtain the constraint condition corresponding to the target product, and the product model corresponding to the target product is obtained based on the parameter list, the material list and the constraint condition corresponding to the target product. The method comprises the steps that design information corresponding to each design scheme in a target drawing is obtained through computer equipment, parameter information of the same materials in the design information is combined to obtain a parameter list corresponding to a product, the obtaining of the design information and the combination of the parameter information are completed through the computer equipment, the generation efficiency of the parameter list is improved, the computer equipment directly obtains material identifiers corresponding to each parameter information in the parameter list from the target drawing, the parameter information is associated with the corresponding material identifiers, namely the accuracy of the material list is improved, the generation efficiency of the material list is improved, the computer equipment analyzes the relation among the parameter information through a set algorithm, the calculation speed of the computer equipment is high, the operation efficiency of the computer equipment is high, the generation efficiency of constraint conditions is improved, compared with the method that the design information of each design scheme in the design drawing is filled in a form manually, the parameter information of the same materials in the form is tidied, the relation among the parameter information of different materials is analyzed, a large amount of time is required to be consumed, errors are easy to occur, the computer equipment executes the method to generate a product model, the time is short, the accuracy is high, and the generation efficiency of the product model is improved.
In one embodiment, as shown in fig. 3, the obtaining a target drawing corresponding to a target product, and design information corresponding to each design scheme in the target drawing includes:
The computer equipment obtains a target drawing corresponding to the target product, wherein the target drawing comprises a plurality of design schemes corresponding to the target product.
In one embodiment, the computer device obtains a target drawing corresponding to the target product, where the target drawing includes multiple designs of the target product.
In one embodiment, the computer device obtains a plurality of drawings corresponding to the target product, each drawing includes at least one design method of the target product, obtains a design scheme on each drawing, and obtains a target drawing corresponding to the target product based on all the design schemes.
The structural information refers to the corresponding relation among the modules, the components and the materials. The structural information can refer to the relation among all modules, components and materials in the target product, and also can refer to the attribution information corresponding to each material. For example, the transverse support is a material, the transverse support is a component of the support, the support is a component of the display, the display is a component of the desktop computer, and the structural information of the transverse support is desktop computer-display-support.
The computer device obtains the structure information corresponding to each design scheme, wherein the structure information comprises all materials of the target product, and then obtains the parameter information corresponding to each material based on the design scheme.
The computer device associates each material in the structure information with corresponding parameter information to obtain design information corresponding to the design scheme.
In this embodiment, the computer device obtains the target drawing corresponding to the target product, then obtains the structural information from the design scheme of the target drawing, and the parameter information corresponding to the material in the structural information, and generates the design information corresponding to the design scheme based on the structural information and the parameter information, so that the execution efficiency of the computer device is high, the accuracy is high, and the efficiency and the accuracy of the design information are improved.
In one embodiment, fusing parameter information of the same material in the plurality of design information to obtain a parameter list and a material list corresponding to the target product includes:
acquiring parameter information corresponding to materials with the same structural information in each piece of design information; combining parameter information corresponding to materials with the same structure information in the plurality of design information to obtain a parameter list corresponding to a target product; and obtaining a bill of materials corresponding to the target product based on the design scheme and the parameter list.
For each material with the same structural information, the computer equipment respectively obtains the parameter information of the material from each design information, combines a plurality of parameter information corresponding to the material to obtain a parameter information set of the material, associates the material in the structural information with the corresponding parameter information set to obtain a parameter list corresponding to the target product, and then obtains the bill of materials corresponding to the target product according to the parameter list and the design scheme in the target drawing.
In this embodiment, the design information corresponding to each design scheme in the target drawing is obtained through the computer equipment, the parameter information of the same material in the design information is combined to obtain the parameter list corresponding to the target product, the obtaining of the design information and the combination of the parameter information are completed through the computer equipment, and the generation efficiency of the parameter list is improved.
In one embodiment, based on the design scheme and the parameter list, obtaining the bill of materials corresponding to the target product includes:
based on the design scheme, acquiring a material identifier corresponding to each parameter information in the parameter list; and associating each parameter information in the parameter list with the corresponding material identifier to obtain a material list corresponding to the target product.
Wherein, the material identification refers to a character string corresponding to the material. The material identification can be a material model, a material code number and the like. For example, hard disk model a01.
The computer equipment obtains the material identification corresponding to each piece of parameter information in the parameter list from the design scheme in the target drawing, and associates and stores the parameter information in the parameter list with the corresponding material identification to obtain the material list of the target product.
In this embodiment, the computer device directly obtains the material identifier corresponding to each parameter information in the parameter list from the target drawing, and correlates the parameter information with the corresponding material identifier, thereby improving the accuracy of the material list and the generating efficiency of the material list.
In one embodiment, as shown in fig. 4, based on a plurality of design information, analyzing the relationship between parameter information of different materials to obtain constraint conditions corresponding to a target product includes:
Wherein, the materials to be compared refer to one or more materials in the parameter list. The material to be analyzed refers to one or more materials in the parameter list which do not contain the material to be compared.
The computer device may, for example, obtain one or more materials from the parameter list as the materials to be compared and then obtain one or more materials from the remaining materials from the parameter list as the materials to be analyzed.
The parameters to be compared refer to a parameter information combination composed of parameter information of materials to be compared. The parameters to be analyzed are the parameter information combination composed of the parameter information of the materials to be analyzed.
The computer equipment respectively obtains the to-be-compared parameters corresponding to the to-be-compared materials and the to-be-analyzed parameters corresponding to the to-be-analyzed materials from each piece of design information, and obtains the to-be-compared parameters and the to-be-analyzed parameters corresponding to each piece of design information.
The computer device compares and analyzes the parameters to be compared and the parameters to be analyzed corresponding to the plurality of design information.
In one embodiment, the computer device compares the parameters to be compared corresponding to the plurality of design information, composes the parameter to be analyzed corresponding to the same parameter to be compared into parameter sets to be analyzed, and determines whether the parameters to be analyzed in each parameter set to be analyzed are the same.
In step 408, if the parameters to be analyzed corresponding to the same parameters to be compared are the same, determining a binding relationship between the parameters to be compared and the parameters to be analyzed.
The binding relationship refers to a corresponding relationship between the parameter to be compared and the parameter to be analyzed. It is understood that the parameters to be compared and the parameters to be analyzed are in one-to-one correspondence. For example, the material to be compared is a screen, the corresponding parameter to be compared is 13 inches, the material to be analyzed is a screen shell, the corresponding parameter to be analyzed is (27 cm, 20 cm), and if the parameter to be compared is 13 inches, the corresponding parameter to be analyzed is (27 cm, 20 cm), then 13 inches- (27 cm, 20 cm) is a set of binding relation between the screen and the screen shell.
The computer device compares a plurality of parameters to be analyzed corresponding to the same parameters to be compared, and if the parameters to be analyzed are the same, the corresponding relationship between the parameters to be compared and the parameters to be analyzed is used as a binding relationship between the materials to be compared and the materials to be analyzed.
Illustratively, the computer device composes all binding relationships corresponding to the target product into constraint conditions corresponding to the target product.
In the embodiment, the computer equipment analyzes the relation between the parameter information of different materials to obtain the constraint condition corresponding to the target product, the computer equipment analyzes the relation between the parameter information through the set algorithm, the computing speed of the computer equipment is high, the efficiency is high, and the generation efficiency of the constraint condition is improved.
In one embodiment, as shown in fig. 5, if at least one identical parameter to be compared corresponds to different parameters to be analyzed; based on a plurality of design information, the relation between the parameter information of different materials is analyzed to obtain the constraint condition corresponding to the target product, and the method further comprises the following steps:
The parameter set to be analyzed refers to a set composed of parameters to be analyzed corresponding to the same parameter to be compared. The parameter set to be analyzed can be one or more, and at least one parameter to be analyzed is included in the parameter set to be analyzed.
The computer device combines the parameters to be analyzed corresponding to the same parameters to be compared to obtain at least one parameter set to be analyzed, and each parameter set to be analyzed corresponds to one parameter to be compared.
The target comparison parameter refers to any one of a plurality of comparison parameters. The non-target comparison parameters refer to comparison parameters excluding target comparison parameters from the plurality of comparison parameters. The reference parameters refer to parameter information which does not exist in the parameter set to be analyzed corresponding to the non-target comparison parameters.
The computer device obtains a target to-be-compared parameter from a plurality of to-be-compared parameters, compares a to-be-analyzed parameter set corresponding to each non-target to-be-compared parameter in the to-be-compared parameters with a to-be-analyzed parameter set corresponding to the target to-be-compared parameter, and obtains a reference parameter corresponding to each non-target to-be-compared parameter.
The mutually exclusive parameters refer to parameter information which does not exist in the parameter set to be analyzed corresponding to the target comparison parameters and exists in the parameter set to be analyzed corresponding to each non-target comparison parameter. The mutually exclusive parameter may be one or more parameter information.
For example, the computer device calculates an intersection of reference parameters corresponding to the plurality of non-target to-be-compared parameters, and uses parameter information obtained by calculating the intersection as mutually exclusive parameters corresponding to the target to-be-compared parameters.
The mutual exclusion relation refers to a corresponding relation between the target to-be-compared parameter and the corresponding mutual exclusion parameter.
The computer device establishes a corresponding relationship between the target to-be-compared parameter and the corresponding mutually exclusive parameter, and takes the corresponding relationship between the target to-be-compared parameter and the corresponding mutually exclusive parameter as the mutually exclusive relationship corresponding to the target to-be-compared parameter.
Illustratively, the computer device composes all binding relationships and mutual exclusion relationships corresponding to the target product into constraint conditions corresponding to the target product.
In the embodiment, the computer equipment analyzes the relation between the parameter information of different materials to obtain the constraint condition corresponding to the target product, the computer equipment analyzes the relation between the parameter information through the set algorithm, the computing speed of the computer equipment is high, the efficiency is high, and the generation efficiency of the constraint condition is improved.
In one embodiment, the product model generation method further comprises:
generating a product configuration model corresponding to the target product based on the parameter list and the constraint condition in the product model; acquiring target parameters corresponding to a target product based on a product configuration model; and obtaining a target bill of materials corresponding to the target parameter based on the target parameter and the bill of materials.
The product configuration model refers to an input interface for acquiring performance parameters. The product configuration model comprises a plurality of material parameters, the material parameters correspond to the parameter information corresponding to the materials in the parameter list, and constraint conditions exist among the material parameters. The target parameter refers to a desired performance parameter. It is understood that the customer sets forth performance parameter requirements. The target bill of materials refers to a bill of materials that satisfies the target parameters.
The computer equipment generates a product configuration model according to a parameter list in the product model, sets a binding relation and a mutual exclusion relation for material parameters in the product configuration model according to constraint conditions in the product model, inputs target parameters through the product configuration model by an operator or a client, acquires the target parameters corresponding to the target products, and then generates a target bill of materials corresponding to the target parameters according to the target parameters and the bill of materials.
In one embodiment, a computer device generates a product configuration model according to a parameter list in the product model, a binding relationship and a mutual exclusion relationship are set for material parameters in the product configuration model according to constraint conditions in the product model, an operator or a client inputs target parameters through the product configuration model, the computer device obtains the target parameters corresponding to the target products, then a target bill of materials corresponding to the target parameters is generated according to the target parameters and the bill of materials, and a target product drawing corresponding to the target parameters is generated based on the target bill of materials and the parameter list.
In this embodiment, a user configuration interface is generated according to a product model corresponding to a target product, target parameters of the target product are obtained through the user configuration interface, a target bill of materials corresponding to the target parameters is directly obtained according to the target parameters and bill of materials of the product model, a design scheme corresponding to the target parameters is not required to be obtained each time for designing the target product according to the target parameters, then a target bill of materials of the target parameters is obtained according to the design scheme, different target parameters can be obtained for multiple times through the user configuration interface, the target bill of materials corresponding to the target parameters is directly generated by the product model according to the obtained target parameters, and the generation efficiency of the target bill of materials is improved.
In one exemplary embodiment, a product configuration model is generated using a smart device as described in FIG. 6, comprising the steps of:
an operator takes a CAD drawing corresponding to a target product as a target drawing to be imported into an intelligent device, the target drawing contains multiple design schemes of the target product, the intelligent device acquires the target drawing, then acquires structural information corresponding to each design scheme, the structural information comprises all materials of the target product, then acquires parameter information corresponding to each material based on the design scheme, and associates each material in the structural information with the corresponding parameter information to obtain the design information corresponding to each design scheme.
And aiming at each material with the same structural information, respectively acquiring parameter information of the material from each design information, combining a plurality of parameter information corresponding to the material to obtain a parameter information set of the material, and associating the material in the structural information with the corresponding parameter information set to obtain a parameter list corresponding to a target product.
And acquiring a material identifier corresponding to each piece of parameter information in the parameter list from the design scheme in the target drawing, and carrying out association storage on the parameter information in the parameter list and the corresponding material identifier to obtain a material list of the target product.
Obtaining one or more materials from a parameter list as materials to be compared, obtaining one or more materials from the rest materials in the parameter list as materials to be analyzed, obtaining the parameters to be compared corresponding to the materials to be compared and the parameters to be analyzed corresponding to the materials to be analyzed from each piece of design information, obtaining the parameters to be compared and the parameters to be analyzed corresponding to each piece of design information, respectively comparing the parameters to be compared corresponding to a plurality of pieces of design information, forming a parameter set to be analyzed by the same parameters to be analyzed, respectively judging whether the parameters to be analyzed in each parameter set to be analyzed are the same, and if the parameters to be analyzed in each parameter set to be analyzed are the same, taking the corresponding relation between the parameters to be compared and the parameters to be analyzed as the binding relation between the materials to be compared and the materials to be analyzed; if at least one identical parameter to be analyzed in the parameter set to be analyzed corresponding to the parameter to be compared is different, a target parameter to be compared is obtained from a plurality of parameters to be compared, the parameter set to be analyzed corresponding to each non-target parameter to be compared in the parameter set to be compared is compared with the parameter set to be analyzed corresponding to the target parameter to be compared respectively, a reference parameter corresponding to each non-target parameter to be compared is obtained, intersections are obtained for the reference parameters corresponding to the non-target parameters to obtain parameter information obtained by the intersections as mutually exclusive parameters corresponding to the target parameter to be compared, and all binding relations and mutually exclusive relations corresponding to the target product are formed to form constraint conditions corresponding to the target product.
Generating a product configuration model according to a parameter list in the product model by computer equipment, setting a binding relation and a mutual exclusion relation for material parameters in the product configuration model according to constraint conditions in the product model, inputting target parameters by an operator or a client through the product configuration model, acquiring target parameters corresponding to target products by the computer equipment, and then generating a target bill of materials corresponding to the target parameters according to the target parameters and the bill of materials.
In the product model generation method, the target drawing corresponding to the target product and the design information corresponding to each design scheme in the target drawing are obtained, the parameter information of the same material in the plurality of design information is fused to obtain the parameter list and the material list corresponding to the target product, the relation among the parameter information of different materials is analyzed based on the plurality of design information to obtain the constraint condition corresponding to the target product, and the product model corresponding to the target product is obtained based on the parameter list, the material list and the constraint condition corresponding to the target product. The method comprises the steps that design information corresponding to each design scheme in a target drawing is obtained through computer equipment, parameter information of the same materials in the design information is combined to obtain a parameter list corresponding to a product, the obtaining of the design information and the combination of the parameter information are completed through the computer equipment, the generation efficiency of the parameter list is improved, the computer equipment directly obtains material identifiers corresponding to each parameter information in the parameter list from the target drawing, the parameter information is associated with the corresponding material identifiers, namely the accuracy of the material list is improved, the generation efficiency of the material list is improved, the computer equipment analyzes the relation among the parameter information through a set algorithm, the calculation speed of the computer equipment is high, the operation efficiency of the computer equipment is high, the generation efficiency of constraint conditions is improved, compared with the method that the design information of each design scheme in the design drawing is filled in a form manually, the parameter information of the same materials in the form is tidied, the relation among the parameter information of different materials is analyzed, a large amount of time is required to be consumed, errors are easy to occur, the computer equipment executes the method to generate a product model, the time is short, the accuracy is high, and the generation efficiency of the product model is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a product model generating device for realizing the above related product model generating method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the device for generating a product model provided below may refer to the limitation of the method for generating a product model hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 7, there is provided a product model generating apparatus including: an acquisition module 702, a fusion module 704, an analysis module 706, and a generation module 708, wherein:
the obtaining module 702 is configured to obtain a target drawing corresponding to a target product, and design information corresponding to each design scheme in the target drawing;
the fusion module 704 is configured to fuse parameter information of the same material in the plurality of design information to obtain a parameter list and a material list corresponding to the target product;
the analysis module 706 is configured to analyze a relationship between parameter information of different materials based on a plurality of design information, so as to obtain constraint conditions corresponding to a target product;
the generating module 708 is configured to obtain a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
In one embodiment, the acquisition module 702 is further configured to: obtaining a target drawing corresponding to a target product; the target drawing comprises a plurality of design schemes corresponding to target products; acquiring structure information corresponding to each design scheme and parameter information corresponding to each material in the structure information; and obtaining design information corresponding to the design scheme based on the structural information corresponding to the design scheme and the parameter information corresponding to each material in the structural information.
In one embodiment, the fusion module 704 is further configured to: acquiring parameter information corresponding to materials with the same structural information in each piece of design information; combining parameter information corresponding to materials with the same structure information in the plurality of design information to obtain a parameter list corresponding to a target product; and obtaining a bill of materials corresponding to the target product based on the design scheme and the parameter list.
In one embodiment, the fusion module 704 is further configured to: based on the design scheme, acquiring a material identifier corresponding to each parameter information in the parameter list; and associating each parameter information in the parameter list with the corresponding material identifier to obtain a material list corresponding to the target product.
In one embodiment, the analysis module 706 is further to: acquiring a material to be compared and a material to be analyzed; aiming at each piece of design information, acquiring parameters to be compared corresponding to the materials to be compared and parameters to be analyzed corresponding to the materials to be analyzed; comparing the parameters to be compared corresponding to the plurality of design information with the parameters to be analyzed; if the parameters to be analyzed corresponding to the same parameters to be compared are the same, determining a binding relation between the parameters to be compared and the parameters to be analyzed; and obtaining constraint conditions corresponding to the target product based on the binding relation.
In one embodiment, the analysis module 706 is further to: combining the parameters to be analyzed corresponding to the same parameters to be compared in the plurality of design information to obtain a parameter set to be analyzed corresponding to the parameters to be compared; obtaining target to-be-compared parameters in to-be-compared parameters, comparing to-be-analyzed parameter sets corresponding to each non-target to-be-compared parameter in the to-be-compared parameters with to-be-analyzed parameter sets corresponding to the target to-be-compared parameters, and obtaining reference parameters corresponding to each non-target to-be-compared parameter; solving intersection sets of reference parameters corresponding to a plurality of non-target to-be-compared parameters to obtain mutual exclusion parameters corresponding to the target to-be-compared parameters; based on the target to-be-compared parameters and the corresponding mutual exclusion parameters, obtaining a mutual exclusion relation corresponding to the target to-be-compared parameters; based on the binding relation, obtaining the constraint condition corresponding to the target product comprises the following steps: and obtaining constraint conditions corresponding to the target product based on the binding relationship and the mutual exclusion relationship.
In one embodiment, the product model generating apparatus further comprises a configuration module for: generating a product configuration model corresponding to the target product based on the parameter list and the constraint condition in the product model; acquiring target parameters corresponding to a target product based on a product configuration model; and obtaining a target bill of materials corresponding to the target parameter based on the target parameter and the bill of materials.
The respective modules in the above-described product model generating apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile 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 the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode 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 model generation method. The display unit of the computer device 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, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method of generating a product model, the method comprising:
obtaining a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
fusing parameter information of the same materials in the plurality of design information to obtain a parameter list and a bill of materials corresponding to the target product;
based on a plurality of design information, analyzing the relation between parameter information of different materials to obtain constraint conditions corresponding to the target product;
And obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
2. The method of claim 1, wherein the obtaining the target drawing corresponding to the target product, and the design information corresponding to each design in the target drawing comprises:
obtaining a target drawing corresponding to the target product; the target drawing comprises a plurality of design schemes corresponding to the target product;
acquiring structure information corresponding to each design scheme and parameter information corresponding to each material in the structure information;
and obtaining the design information corresponding to the design scheme based on the structure information corresponding to the design scheme and the parameter information corresponding to each material in the structure information.
3. The method of claim 1, wherein the fusing the parameter information of the same material in the plurality of design information to obtain the parameter list and the bill of materials corresponding to the target product includes:
acquiring parameter information corresponding to materials with the same structural information in each piece of design information;
combining parameter information corresponding to materials with the same structure information in the plurality of design information to obtain a parameter list corresponding to the target product;
And obtaining a bill of materials corresponding to the target product based on the design scheme and the parameter list.
4. The method of claim 3, wherein the obtaining a bill of materials corresponding to the target product based on the design solution and the parameter list comprises:
based on the design scheme, acquiring a material identifier corresponding to each piece of parameter information in the parameter list;
and associating each piece of parameter information in the parameter list with a corresponding material identifier to obtain a material list corresponding to the target product.
5. The method of claim 1, wherein analyzing the relationship between the parameter information of different materials based on the plurality of design information to obtain the constraint condition corresponding to the target product comprises:
acquiring a material to be compared and a material to be analyzed;
aiming at each piece of design information, acquiring parameters to be compared corresponding to the materials to be compared and parameters to be analyzed corresponding to the materials to be analyzed;
comparing the parameters to be compared and the parameters to be analyzed corresponding to the design information;
if the parameters to be analyzed corresponding to the same parameters to be compared are the same, determining a binding relation between the parameters to be compared and the parameters to be analyzed;
And obtaining constraint conditions corresponding to the target product based on the binding relation.
6. The method of claim 5, wherein if there is at least one identical parameter to be analyzed corresponding to the parameter to be compared is not identical; based on the design information, the relation between the parameter information of different materials is analyzed to obtain the constraint condition corresponding to the target product, and the method further comprises the following steps:
combining the parameters to be analyzed corresponding to the same parameters to be compared in the design information to obtain a parameter set to be analyzed corresponding to the parameters to be compared;
obtaining target to-be-compared parameters in the to-be-compared parameters, comparing to-be-analyzed parameter sets corresponding to each non-target to-be-compared parameter in the to-be-compared parameters with to-be-analyzed parameter sets corresponding to the target to-be-compared parameters, and obtaining reference parameters corresponding to each non-target to-be-compared parameter;
intersection sets are obtained on the reference parameters corresponding to the non-target comparison parameters, and mutual exclusion parameters corresponding to the target comparison parameters are obtained;
based on the target to-be-compared parameters and the mutual exclusion parameters, obtaining mutual exclusion relations corresponding to the target to-be-compared parameters;
Based on the binding relation, obtaining the constraint condition corresponding to the target product comprises the following steps:
and obtaining constraint conditions corresponding to the target product based on the binding relationship and the mutual exclusion relationship.
7. The method according to claim 1, wherein the method further comprises:
generating a product configuration model corresponding to the target product based on the parameter list and the constraint condition in the product model;
acquiring target parameters corresponding to the target product based on the product configuration model;
and obtaining a target bill of materials corresponding to the target parameter based on the target parameter and the bill of materials.
8. A product model generation apparatus, the apparatus comprising:
the acquisition module is used for acquiring a target drawing corresponding to a target product and design information corresponding to each design scheme in the target drawing;
the fusion module is used for fusing the parameter information of the same materials in the plurality of design information to obtain a parameter list and a material list corresponding to the target product;
the analysis module is used for analyzing the relation between the parameter information of different materials based on a plurality of design information to obtain constraint conditions corresponding to the target products;
And the generating module is used for obtaining a product model corresponding to the target product based on the parameter list, the bill of materials and the constraint condition corresponding to the target product.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116992241A (en) * | 2023-09-26 | 2023-11-03 | 深圳前海环融联易信息科技服务有限公司 | Model generation method and device, storage medium and computer equipment |
| CN117610518A (en) * | 2024-01-24 | 2024-02-27 | 宁德时代新能源科技股份有限公司 | Engineering bill of materials generation method and device, electronic equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116992241A (en) * | 2023-09-26 | 2023-11-03 | 深圳前海环融联易信息科技服务有限公司 | Model generation method and device, storage medium and computer equipment |
| CN116992241B (en) * | 2023-09-26 | 2024-01-19 | 深圳前海环融联易信息科技服务有限公司 | Model generation method and device, storage medium and computer equipment |
| CN117610518A (en) * | 2024-01-24 | 2024-02-27 | 宁德时代新能源科技股份有限公司 | Engineering bill of materials generation method and device, electronic equipment and storage medium |
| CN117610518B (en) * | 2024-01-24 | 2024-06-07 | 宁德时代新能源科技股份有限公司 | Engineering bill of materials generation method and device, electronic equipment and storage medium |
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