CN115186137A

CN115186137A - Data model construction method and device and storage medium

Info

Publication number: CN115186137A
Application number: CN202210640758.6A
Authority: CN
Inventors: 杜立侠; 李燕
Original assignee: CRRC Guangdong Co Ltd
Current assignee: CRRC Guangdong Co Ltd
Priority date: 2022-06-08
Filing date: 2022-06-08
Publication date: 2022-10-14

Abstract

The application provides a data model construction method, a device and a storage medium thereof, wherein the data model construction method comprises the following steps: acquiring a plurality of product data information; packaging the plurality of product data information to obtain a plurality of packaged objects; establishing an incidence relation for all the packaging objects to obtain a product structure tree; the product data model is established by utilizing the product structure tree, so that the embodiment of the application can realize data centralized storage by utilizing the product data model, and meanwhile, the data relation cooperation is realized by establishing the incidence relation for all the packaging objects, thereby being convenient for inquiring data information.

Description

Data model construction method and device and storage medium

Technical Field

The application relates to the field of rail vehicle manufacturing, in particular to a data model construction method, a data model construction device and a storage medium.

Background

In the related art, most rail transit product data are grouped and managed according to service properties, and data association channels are rarely established, so that the same data can be repeatedly stored. Therefore, how to centrally manage all the track transportation product data and the related data thereof is a problem to be solved urgently.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the application provides a data model construction method, a data model construction device and a storage medium, which can realize centralized storage of data and realize data relationship cooperation, and are convenient for inquiring data information.

In a first aspect, an embodiment of the present application provides a data model construction method, including:

acquiring a plurality of product data information;

packaging the plurality of product data information to obtain a plurality of packaged objects;

establishing an incidence relation for all the packaging objects to obtain a product structure tree;

and establishing a product data model by using the product structure tree.

In a second aspect, an embodiment of the present application further provides a data model building apparatus, including a memory and a processor, where the memory stores a computer program, and the processor implements the data model building method according to the first aspect when executing the computer program.

In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, where the storage medium stores a program, and the program is executed by a processor to implement the data model building method according to the first aspect or the second aspect.

The embodiment of the application at least comprises the following beneficial effects: the method comprises the steps of firstly obtaining a plurality of product data information, then packaging the plurality of product data information to obtain a plurality of packaged objects, then establishing incidence relations between all the packaged objects to obtain a product structure tree, and finally establishing a product data model by using the product structure tree.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.

FIG. 1 is a flow chart of a method for constructing a data model according to an embodiment of the present application;

FIG. 2 is a flowchart of a specific method of step S130 in FIG. 1;

FIG. 3 is a flowchart of a specific method of step S220 in FIG. 2;

FIG. 4 is a flow chart of one particular method of step S320 of FIG. 3;

FIG. 5 is a flow chart of another specific method of step S320 in FIG. 3;

FIG. 6 is a flow chart of a method for constructing a data model provided in another embodiment of the present application;

FIG. 7 is a flowchart of a specific method of step S620 in FIG. 6;

fig. 8 is a schematic structural diagram of a data model building apparatus according to an embodiment of the present application.

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 the present application and are not intended to limit the present application.

In the description of the present application, the meaning of a plurality is one or more, the meaning of a plurality is two or more, and larger, smaller, larger, etc. are understood as excluding the present number, and larger, smaller, inner, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.

In the description of the present application, unless otherwise explicitly defined, terms such as structure tree, model, association, relationship and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present application in combination with the specific contents of the technical solutions.

The application provides a data model construction method, a device and a storage medium thereof, which are characterized in that a plurality of product data information are firstly obtained, then the plurality of product data information are packaged to obtain a plurality of packaged objects, then incidence relations are established for all the packaged objects to obtain a product structure tree, and finally the product data model is established by using the product structure tree.

The embodiments of the present application will be further explained with reference to the drawings.

As shown in fig. 1, fig. 1 is a flowchart of a data model building method according to an embodiment of the present application. The data model construction method may include, but is not limited to, step S110, step S120, step S130, and step S140.

Step S110: a plurality of product data information is obtained.

It should be noted that the product data information may be product data information of rail transit, and when the product data information is product data information of rail transit, the product data information may include multiple types of product data information such as intercity motor train units, subway vehicles, overhaul motor train units, overhaul subways, and each type of product data information may include project data, material data, drawing document data, process data, and the like, which is not limited specifically herein.

Step S120: and packaging the plurality of product data information to obtain a plurality of packaged objects.

It should be noted that the packaging objects include parts, drawings, design files, manufacturing files, process routes, process rules, quality control documents, business documents, summary reports and other documents, and a plurality of product data information are packaged according to product data attributes to obtain a plurality of packaging objects, so that the information of each stage and each aspect of the product life cycle can be comprehensively managed.

It should be noted that, the product data attribute may also be defined in a standardized manner, and how to define the product data attribute in a standardized manner is not specifically limited herein.

Step S130: and establishing an incidence relation for all the packaged objects to obtain a product structure tree.

In an embodiment, the multiple product information views may be constructed by using the component as a core and the product structure tree as a main line, which is not limited herein.

Step S140: and establishing a product data model by using the product structure tree.

It should be noted that the business scope of the main application of the product data model may include product design, material procurement, production assembly, technology modification, after-sales repair, etc., and is not limited herein.

It is understood that the product structure tree can be used as an infrastructure of the product data model, and the product data information is encapsulated into encapsulated objects, and one encapsulated object contains a group of product data information with close relationship to each other, which makes the product data model a logically inseparable whole.

In one embodiment, the product data model may be implemented by software and define data interface standards (i.e., standards defining interface protocols for data transfer between systems), which are not specifically limited herein.

In an embodiment, the product data model may be constructed as a basic data standard system, and a document classification standard, a coding standard, a quality standard, a process standard, a file output standard, and the like may be established, which is not particularly limited herein.

In this embodiment, by using the data model construction method including the steps S110 to S140, first obtaining a plurality of product data information, then performing encapsulation processing on the plurality of product data information to obtain a plurality of encapsulated objects, then establishing association relationships between all the encapsulated objects to obtain a product structure tree, and finally establishing the product data model using the product structure tree, so that in the embodiment of the present application, centralized storage of data can be realized using the product data model, and at the same time, data relationship cooperation can be realized by establishing association relationships between all the encapsulated objects, which is convenient for querying data information, thereby realizing data sharing of a product in a whole design and production period, ensuring efficient utilization of product data information, and shortening a design and development period.

In an embodiment, as shown in fig. 2, for further explanation of step S130, the step S130 may include, but is not limited to, step S210 and step S220.

Step S210: and classifying all the packaged objects according to the product item types to obtain a plurality of classification results.

It should be noted that the product item types may include a subway vehicle type and a bullet train set type, wherein the bullet train set type may include an RH6A type inter-city motor train set, a CRH6F type inter-city motor train set, a CRH2A type motor train set, and the like, wherein product data information with an item number as a "code" is established in the product management, and the RH6A, the CRH6F, and the CRH2A all represent the model number of the motor train set, which is not particularly limited herein.

Step S220: and establishing an association relation among the plurality of classification results to obtain a product structure tree.

In this embodiment, by using the data model construction method including the above steps S210 to S220, all the packaged objects can be classified according to the product item types to obtain a plurality of classification results, and then the association relationship is established between the plurality of classification results to obtain a product structure tree, which provides preparation for establishing a product data model by using the product structure tree in the subsequent steps.

In an embodiment, as shown in fig. 3, for further explanation of step S220, the step S220 may include, but is not limited to, step S310 and step S320.

Step S310: a hierarchical structure of the bill of materials is determined.

Step S320: and performing association processing on the plurality of classification results according to the hierarchical structure to obtain a product structure tree.

In this embodiment, by using the data model construction method including the steps S310 to S320, the hierarchical structure of the bill of materials can be determined, and then the classification results are associated according to the hierarchical structure to obtain the product structure tree, so that the hierarchies between different classification results are distinct, data information can be managed conveniently, and designers, process personnel, manufacturing shop personnel and related personnel can query the data information conveniently.

In one embodiment, as shown in fig. 4, in the case that the bill of materials includes a manufacturing bill of materials, the classification result includes product class information, purchase class information and self-made class information, and the product structure tree includes a manufacturing material structure, step S320 is further described, and step S320 may include, but is not limited to, step S410, step S420, step S430, step S440 and step S450.

Step S410: and dividing the manufacturing bill of materials into a first root node, a first leaf node and a first self-defined node in sequence.

It should be noted that the manufacturing bill of materials may include information related to the complete bill of materials hierarchy, process information, graphic and document information of the process information, etc., which are not listed herein.

It should be noted that, the Manufacturing Bill of materials (MBOM) is designed according to the processing level and capability of the factory, and can be used for process design and production Manufacturing management, and explicitly understanding the Manufacturing relationship between parts, tracking the Manufacturing process, manufacturing address, manufacturing engineer, manufacturing Material, etc. of the parts. In addition, the MBOM is a material list formed by adding information such as process flow (i.e., manufacturing process and assembly process), process resources, raw materials, semi-finished products and the like on the basis of designing the material list, reflects the manufacturing method and assembly sequence of parts, assemblies and final products, reflects the reasonable flowing and disappearing process of materials between production workshops, and is the core of ERP (Enterprise Resource Planning) smooth operation.

It should be noted that the measurement unit in the manufacturing bill of materials is the same as the stock unit, that is, the amount used in the manufacturing bill of materials needs to be set according to the basic unit of materials.

Step S420: and performing association processing on the first root node and the product type information to obtain a second root node.

Step S430: and performing correlation processing on the first leaf node and the purchase type information to obtain a second leaf node.

Step S440: and performing correlation processing on the first user-defined node and the self-made type information to obtain a second user-defined node.

Step S450: and forming a manufacturing material structure by using the second root node, the second blade node and the second user-defined node.

It will be appreciated that the manufacturing material structure from the second root node to the second leaf node may reflect the actual manufacturing process for the product.

It should be noted that the structure of the manufacturing material does not need to separately include information of auxiliary materials such as paint, wires or heat-conducting silicone grease. If the individual auxiliary material information needs to be maintained in the structure of the manufactured material, the auxiliary material information can comprise information such as auxiliary material dosage, the dosage unit of the auxiliary material dosage is consistent with the basic unit, and the auxiliary material information is managed in a backflushing material mode. It should be noted that the management of the auxiliary material information may further define the management method, for example, the auxiliary material information with high value and capable of being accurately calculated is managed by the structure of the manufacturing material.

It should be noted that, the complete process route is established under the station in the manufacturing bill of materials, and is not limited herein.

It should be noted that the product type information is information of a final product, the purchase type information may be information of a purchase piece, and the self-manufacture type information may be information of an actual piece, or information of a virtual piece, where a part or a process piece formed by machining a raw material is a virtual piece, so the virtual piece information may be related information of the virtual piece, and the actual piece information may be related information of a part, which is not limited specifically herein. Additionally, the part may include raw materials.

In this embodiment, by using the data model construction method including the foregoing steps S410 to S450, first, when the bill of material includes the manufacturing bill of material, the classification result includes the product type information, the purchase type information, and the self-defined type information, and the product structure tree includes the manufacturing material structure, the manufacturing bill of material may be sequentially divided into the first root node, the first leaf node, and the first self-defined node, then the first root node and the product type information are associated to obtain the second root node, the first leaf node and the purchase type information are associated to obtain the second two leaf node, and the first self-defined node and the self-defined type information are associated to obtain the second self-defined node, and finally, the second root node, the second leaf node, and the second self-defined node are used to construct the manufacturing material structure.

In one embodiment, the manufacturing material Structure may use the product class information as a root node (e.g., a WBS (Work Breakdown Structure) number) and the purchase class information as a final leaf node.

It is understood that a custom node can be defined as a physical node or a virtual node, wherein the physical node can issue production tasks and warehouse entry management (or the physical entity is not warehouse entry, but the ERP handles warehouse entry and export procedures), and the virtual node does not issue production plans and purchasing plans.

In an embodiment, as shown in fig. 5, in the case that the bill of materials includes a design bill of materials, the classification result includes homemade classification information, and the product structure tree includes a design material structure, the step S320 is further described, and the step S320 may include, but is not limited to, the steps S510, S520, and S530.

Step S510: a third leaf node of the design bill of materials is determined.

In one embodiment, the design bill of materials may include complete information about the bill of materials hierarchy, graphical information about the bill of materials hierarchy, and so on, which are not further listed herein.

It should be noted that the design Bill of materials (EBOM) is usually generated according to functions of a product, a product assembly system diagram, a product component specification and the like, and the design Bill of materials may be used to describe a product design structure, where the product assembly system diagram may provide design assembly relationships between components constituting the product, and the product component specification may specifically describe types of the components, such as general components, standard components, custom components, outsourced components and the like, and therefore, the EBOM is a basis of a product data model.

As an example, the hierarchical structure of the design bill of materials can be divided into [ overall-000 ] → [ total figure of vehicle X ] - → [ system level-010-900 ] → [ each schematic diagram of the system and detail-011-999 ] → [ lower bill of materials ] → [ lowest layer ], wherein the "bogie" of [ system level-010-900 ] is an overall outsourcing. In addition, the design bill of materials may vary from the system level-010-900 according to the actual product, and is not limited herein.

Step S520: and carrying out material coding on the self-made information according to the figure number and the material to obtain coding information and substitute information.

In an embodiment, material coding may be performed according to a drawing number and material materials of multiple materials, for example, material coding may be performed according to different material materials, where substitute information, such as "substitute Q235", is filled in an "additional information" column of each material, and in addition, in a design bill of materials, one piece of coded information may only correspond to one material, and the substitute information of the material may be described in "additional information", which is not limited specifically herein.

It should be noted that the design material structure may not include information of auxiliary materials such as paint, wires, and heat conductive silicone grease, and is not limited herein.

It should be noted that the material may be a material of a purchased part, and the self-made information may include information of the purchased part, which is not limited herein.

Step S530: and performing association processing on the third leaf node, the coding information and the substitute information to obtain a design material structure.

In this embodiment, by using the data model construction method including the above steps S510 to S530, when the bill of materials includes the design bill of materials, the classification result includes the self-made information, and the product structure tree includes the design material structure, the third leaf node of the design bill of materials can be determined, then the self-made information is subjected to material coding according to the figure number and the material, so as to obtain the coding information and the substitute information, and finally the third leaf node is subjected to association processing with the coding information and the substitute information, so as to obtain the design material structure.

In an embodiment, a plurality of classification results may be associated according to a document structure to obtain a document structure, and a product structure tree is constructed by using the document structure, a design material structure and a manufacturing material structure, where the design material structure is a top layer of a product research and development department (such as a general diagram material), the manufacturing material structure is a top layer of a technical department (such as a WBS project material number), and the document structure may include process files (e.g., project contracts, technical conditions, and the like) related to each department project, which is not limited in this respect.

In an embodiment, as shown in fig. 6, the data model building method may further include, but is not limited to, step S610, step S620 and step S630.

Step S610: and obtaining process flow information according to the material processing information and the part assembling information.

It should be noted that the material processing information may include information such as an operation sequence of material processing, the component assembly information may include information such as an operation sequence of component assembly, the process flow information may include information such as an operation sequence of material processing and component assembly, and the process flow is a sequence of a plurality of processes, where a process is an action or a series of actions performed by a production operator or a machine to complete a specified task, and is a most basic processing operation mode of processing a material and an assembly product, and the process flow information is data information associated with information such as a process control code, a work center, a man-hour quota, and an outsource supplier, and is a basic unit constituting a process route model.

It should be noted that the process flow information includes information related to the material flow process in the plant, and the process flow information may be used as a basis for adjusting the manufacturing bill of materials, and the process flow information may also be used as a basis for issuing drawings or technical data, which may adopt a management form of character strings.

In an embodiment, the material processing information may be managed by a code and filled in an attribute column of a "plant-level process route" in the specification, which is not limited herein.

In an embodiment, the structure of the process route model may be based on a material, for example, [ material ] → [ product development pattern ], [ product development file ], [ document change ], [ process design pattern ], [ process design file ], [ quality management file ], where [ process design pattern ], [ process design file ], and [ quality management file ] may be selectively opened through authority control, which is not limited in this embodiment.

Step S620: and performing correlation processing on the plurality of product data information according to the process flow information to obtain a process route model.

Step S630: and establishing a product data model by using the product structure tree and the process route model.

It should be further noted that the process route model defines attributes of the production process, and the attributes may include WBS (Work break down Structure) elements, material numbers, factories, work center names, work center codes, control codes, standard process value codes, job numbers, process descriptions, basic quantities, standard man-hours, process measurement units, and the like, which are not listed herein.

In this embodiment, by using the data model construction method including the steps S610 to S630, process flow information can be obtained according to the material processing information and the assembly sequence of the parts, then, the plurality of product data information are associated according to the process flow information to obtain a process route model, and finally, the product data model is established by using the product structure tree and the process route model, that is, the process route model defines the association relationship between the production process and the product data information.

It should be noted that, the process designer can quickly perform the process file quota compilation work based on the rich multi-level process route model, and submit the process file approval process after the process file compilation is completed, so as to provide the approval function of the process file, and the system automatically files and fixes the edition after the process approval is passed, which is not limited in detail herein.

It can be understood that the process route model enables the knowledge accumulation formed by process management and design management to be completely based on the same data model and authority system, so that data is organically combined together, and the fully-relevant management of design and process data is formed, thereby providing data assurance for subsequent production manufacturing, data query and data summarization processing of enterprises, being convenient for designers, process personnel, manufacturing workshop personnel and relevant personnel to search required data in the authority range, realizing the data sharing of products in the whole design and production cycle, improving the data reuse, avoiding the repeated labor, shortening the design and research cycle, and improving the design and research quality.

In an embodiment, as shown in fig. 7, for further explanation of step S620, step S620 may include, but is not limited to, step S710 and step S720.

Step S710: and coding the plurality of product data information to obtain codes corresponding to the product data information.

Step S720: and performing correlation processing on each code corresponding to the product data information according to the process flow information to obtain a process route model.

In this embodiment, by using the data model construction method including steps S710 to S720, firstly, a plurality of product data information may be encoded to obtain codes corresponding to the product data information, and then, the codes corresponding to the product data information are associated according to the process flow information to obtain a process route model, so that the embodiment of the present application may use a management form of codes (or character strings), which is not limited herein.

It should be noted that the model in the above embodiment may form an information system through software development, and the system software may perform product construction and perform customized development on business data, business process, business operation, user interface, and the like.

In one embodiment, product data information of a newly manufactured product and product data information of an overhaul product are obtained, then packaging processing is carried out on the product data information of the newly manufactured product and the product data information of the overhaul product, namely packaging processing is carried out on parts, technical drawing documents and technical files of the newly manufactured product to obtain a packaging object of the newly manufactured product, packaging processing is carried out on the parts, technical drawing documents and technical files of the overhaul product to obtain a packaging object of the overhaul product, classification processing is carried out on the packaging object of the newly manufactured product according to product item types to obtain a motor train unit and a subway vehicle, classification processing is carried out on the packaging object of the overhaul product according to product item types to obtain a third-level repair product and a fourth-level repair product, finally association processing is carried out on the motor train unit, the subway vehicle, the third-level repair product and the fourth-level repair product according to a design material list to obtain a design material structure, association processing is carried out on the motor train unit, the subway vehicle, the third-level repair and the fourth-level repair according to the manufacturing material list to obtain a manufacturing material structure, a manufacturing material structure is used for establishing a product data model, wherein the parts can comprise child parts and parent parts, and the fourth-level structure is not specifically limited to this embodiment.

In addition, referring to fig. 8, an embodiment of the present application further provides a data model building apparatus 200, where the data model building apparatus 200 includes a memory 202, a processor 201, and a computer program stored on the memory 202 and executable on the processor 201.

The processor 201 and memory 202 may be connected by a bus or other means.

The memory 202, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. Further, the memory 202 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 202 may optionally include memory located remotely from the processor 201, and such remote memory may be coupled to the processor 201 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Non-transitory software programs and instructions required to implement the data model construction method of the above embodiment are stored in the memory 202, and when executed by the processor 201, perform the data model construction method of the above embodiment, for example, perform the above-described method steps S110 to S140 in fig. 1, method steps S210 to S220 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S450 in fig. 4, method steps S510 to S530 in fig. 5, method steps S610 to S630 in fig. 6, and method steps S710 to S720 in fig. 7.

The above described embodiments of the device are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Furthermore, an embodiment of the present application further provides a computer-readable storage medium, which stores computer-executable instructions, which are executed by a processor or a controller, for example, by a processor in the above-mentioned device embodiment, and can enable the above-mentioned processor to execute the data model construction method in the above-mentioned embodiment, for example, execute the above-mentioned method steps S110 to S140 in fig. 1, method steps S210 to S220 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S450 in fig. 4, method steps S510 to S530 in fig. 5, method steps S610 to S630 in fig. 6, and method steps S710 to S720 in fig. 7.

Furthermore, an embodiment of the present application further provides a computer program product, which includes a computer program or a computer instruction, where the computer program or the computer instruction is stored in a computer-readable storage medium, and a processor of a computer device reads the computer program or the computer instruction from the computer-readable storage medium, and executes the computer program or the computer instruction, so that the computer device executes the data model building method in the foregoing embodiment, for example, executes the above-described method steps S110 to S140 in fig. 1, method steps S210 to S220 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S450 in fig. 4, method steps S510 to S530 in fig. 5, method steps S610 to S630 in fig. 6, and method steps S710 to S720 in fig. 7.

One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

While the preferred embodiments of the present invention have been described, the present invention is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and such equivalent modifications or substitutions are included in the scope of the present invention defined by the claims.

Claims

1. A method for constructing a data model, comprising:

acquiring a plurality of product data information;

and establishing a product data model by using the product structure tree.

2. The method for constructing a data model according to claim 1, wherein the establishing of the association relationship for all the encapsulation objects to obtain a product structure tree comprises:

classifying all the packaging objects according to the product item types to obtain a plurality of classification results;

and establishing an incidence relation among the plurality of classification results to obtain a product structure tree.

3. The data model building method according to claim 2, wherein the establishing the association relationship between the plurality of classification results to obtain a product structure tree comprises:

determining a hierarchical structure of the bill of materials;

and performing association processing on the classification results according to the hierarchical structure to obtain a product structure tree.

4. The method of claim 3, wherein the bill of materials comprises a manufacturing bill of materials, the classification results comprise product type information, purchase type information, and homemade type information, the product structure tree comprises a manufacturing material structure, and the associating the classification results according to the hierarchical structure to obtain the product structure tree, comprising:

dividing the manufacturing bill of materials into a first root node, a first leaf node and a first self-defined node in sequence;

performing association processing on the first root node and the product type information to obtain a second root node;

performing correlation processing on the first leaf node and the purchase type information to obtain a second leaf node;

performing association processing on the first user-defined node and the self-made type information to obtain a second user-defined node;

and forming the manufacturing material structure by using the second root node, the second blade node and the second user-defined node.

5. The data model building method of claim 4, wherein:

the units of measure in the manufacturing bill of materials are the same as the units of inventory.

6. The data model building method of claim 3, wherein the bill of materials includes a design bill of materials, the classification results include self-made classification information, the product structure tree includes a design material structure, and the associating the classification results according to the hierarchical structure to obtain the product structure tree includes:

determining a third leaf node of the design bill of materials;

carrying out material coding on the self-made information according to the figure number and the material to obtain coding information and substitute information;

and performing association processing on the third leaf node, the coding information and the substitute information to obtain a design material structure.

7. The data model building method of claim 1, further comprising:

obtaining process flow information according to the material processing information and the part assembling information;

performing correlation processing on the plurality of product data information according to the process flow information to obtain a process route model;

and establishing a product data model by using the product structure tree and the process route model.

8. The data model construction method of claim 7, wherein the associating the plurality of product data information according to the process flow information to obtain a process route model comprises:

coding the plurality of product data information to obtain codes corresponding to the product data information;

and performing correlation processing on each code corresponding to the product data information according to the process flow information to obtain a process route model.

9. A data model construction apparatus comprising a memory storing a computer program, and a processor implementing the data model construction method according to any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that the storage medium stores a program, which is executed by a processor to implement the data model construction method according to any one of claims 1 to 8.