Production line digital twinborn simulation model construction method and device and electronic equipment

Abstract

The invention provides a production line digital twinning simulation model construction method and device and electronic equipment, and belongs to the field of digital twinning simulation, and the method comprises the steps: obtaining production line structure data and production line process data of a to-be-modeled production line, and constructing a production line knowledge graph according to the production line structure data and the production line process data, the production line knowledge graph comprises a production line structure knowledge graph and a production line process knowledge graph; determining production line structure information according to the production line structure knowledge graph, determining production line process information according to the production line process knowledge graph, and performing structure instantiation according to the production line structure information to obtain a production line structure model; and performing process instantiation on the production line structure model according to the production line process flow information to obtain a production line digital twinning simulation model. Structural instantiation and process instantiation are carried out through the knowledge graph, dynamic data modeling can be carried out on the production line, and the timeliness of the simulation model on production line simulation is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of digital twin simulation technology, and in particular to a method, device and electronic equipment for constructing a digital twin simulation model of a production line. Background Art

[0002] In industrial production, the industrial digital production line simulation model can simulate the warehousing, transportation, manufacturing and other production processes in the factory, thereby assisting production line managers in managing the storage, transportation and other planning of materials in production line manufacturing, which can effectively improve the production line capacity.

[0003] The existing industrial digital production line simulation model construction process usually first collects the structural data and related parameters of various equipment data in the production process of the production line to form a database or knowledge graph, and then performs manual modeling based on the collected data or instantiates the template in the template library to obtain a simulation model. However, although the existing modeling method can already establish a relatively accurate simulation model, in the face of a dynamic production line system, the existing modeling method is difficult to ensure the timeliness of the simulation model because the information source used is static data, and the obtained simulation model is of poor practicality.

[0004] Therefore, the existing technology has the technical problems that the information source used for modeling is static data, it is difficult to ensure the timeliness of the simulation model, and the practicality of the obtained simulation model is poor, which needs to be improved. Summary of the invention

[0005] In view of this, it is necessary to provide a method, device and electronic equipment for constructing a digital twin simulation model of a production line, so as to solve the technical problems existing in the prior art that the information source used is static data, it is difficult to ensure the timeliness of the simulation model, and the practicality of the obtained simulation model is poor.

[0006] In one aspect, the present invention provides a method for constructing a digital twin simulation model of a production line, comprising: Obtaining production line structure data and production line process data of the production line to be modeled, and constructing a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; The production line structure information is determined according to the production line structure knowledge graph, the production line process flow information is determined according to the production line process knowledge graph, the production line structure model is obtained by structural instantiation according to the production line structure information, and the production line structure model is process instantiated according to the production line process flow information to obtain a production line digital twin simulation model.

[0007] In a possible implementation, the production line structure data includes structure attribute data, structure coordinate data, structure connection relationship information and transportation relationship information; the production line process data includes process route information and process parameter data.

[0008] In a possible implementation, a production line knowledge graph is constructed based on production line structure data and production line process data, including: Determine each knowledge graph ontology based on the data types in the production line structure data and production line process data, and establish entity triples and relationship triples; According to the production line structure data, production line process data and based on the data structure of entity triples and relationship triples, data is filled in the entity triples and relationship triples to obtain the production line knowledge graph.

[0009] In a possible implementation, an entity triple includes an entity, an attribute, and an attribute value, and a relationship triple includes a first entity, a second entity, and an entity relationship.

[0010] In one possible implementation, the production line structure knowledge graph includes the physical structure and structural connection relationship of the production line; the production line process knowledge graph includes the production line behavior knowledge graph and the production line performance knowledge graph, wherein the production line behavior knowledge graph includes equipment behavior modes and equipment operating parameters, and the production line performance knowledge graph includes production status information, production capacity information and bottleneck equipment information.

[0011] In a possible implementation, a production line structure model is obtained by performing structure instantiation according to the production line structure information, including: According to the production line structure information, the preset template component types and their coordinate information and connection relationship information required for simulation modeling are determined, and the production line structure model is established according to the coordinate information and connection relationship information.

[0012] In a possible implementation, the production line structure model is instantiated according to the production line process information to obtain a production line digital twin simulation model, including: The process flow and process parameters of each preset template component are determined according to the process flow information of the production line, and the simulation rules and simulation process parameters of each preset template component are set according to the process flow and process parameters to obtain a digital twin simulation model of the production line.

[0013] On the other hand, the present invention also provides a production line digital twin simulation model construction device, comprising: A knowledge graph construction unit, used to obtain production line structure data and production line process data of the production line to be modeled, and to construct a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; The model instantiation unit is used to determine the production line structure information according to the production line structure knowledge graph, determine the production line process flow information according to the production line process knowledge graph, perform structural instantiation according to the production line structure information to obtain the production line structure model, and perform process instantiation on the production line structure model according to the production line process flow information to obtain the production line digital twin simulation model.

[0014] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein: Memory for storing computer programs; The processor is coupled to the memory and is used to execute a computer program to implement the steps in the above-mentioned production line digital twin simulation model construction method.

[0015] On the other hand, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned production line digital twin simulation model construction method are implemented.

[0016] The beneficial effects of the present invention are as follows: the method for constructing a digital twin simulation model of a production line provided by the present invention first obtains the production line structure data and production line process data of the production line to be modeled, and constructs a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; then the production line structure information is determined based on the production line structure knowledge graph, the production line process flow information is determined based on the production line process knowledge graph, the production line structure model is obtained by structural instantiation based on the production line structure information, and the production line structure model is instantiated by process based on the production line process flow information to obtain a digital twin simulation model of the production line. The present invention performs structural instantiation through the production line structure knowledge graph and process instantiation through the production line process knowledge graph, and can perform dynamic data modeling on the production line, ensure the timeliness of the simulation model's simulation of the production line, and effectively improve the practical performance of the simulation model. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic diagram of a process flow of an embodiment of a method for constructing a digital twin simulation model of a production line provided by the present invention; Figure 2 A schematic diagram of a process for constructing a production line knowledge graph according to an embodiment of the present invention; Figure 3 A schematic structural diagram of an embodiment of a production line digital twin simulation model building device provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.

[0021] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" or "second" may explicitly or implicitly include at least one of the features.

[0022] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present invention provides a method, device, electronic device and storage medium for constructing a digital twin simulation model of a production line, which are described below respectively.

[0024] Figure 1 A flow chart of an embodiment of a method for constructing a digital twin simulation model of a production line provided by the present invention is shown in FIG. Figure 1 As shown in the figure, the method for constructing the digital twin simulation model of the production line includes: S101, obtaining production line structure data and production line process data of the production line to be modeled, and constructing a production line knowledge graph according to the production line structure data and the production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; S102. Determine the production line structure information according to the production line structure knowledge graph, determine the production line process flow information according to the production line process knowledge graph, perform structural instantiation on the production line structure information to obtain a production line structure model, and perform process instantiation on the production line structure model according to the production line process flow information to obtain a production line digital twin simulation model.

[0025] Specifically, the method for constructing a digital twin simulation model of a production line provided by the present invention first obtains the production line structure data and production line process data of the production line to be modeled, and constructs a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; then, the production line structure information is determined based on the production line structure knowledge graph, the production line process flow information is determined based on the production line process knowledge graph, the production line structure model is obtained by structural instantiation based on the production line structure information, and the production line structure model is process instantiated based on the production line process flow information to obtain a digital twin simulation model of the production line. The present invention performs structural instantiation through the production line structure knowledge graph and process instantiation through the production line process knowledge graph, and can perform dynamic data modeling on the production line, thereby ensuring the timeliness of the simulation model's simulation of the production line and effectively improving the practical performance of the simulation model. In some embodiments of the present invention, the production line structure data includes structure attribute data, structure coordinate data, structure connection relationship information and transportation relationship information; the production line process data includes process route information and process parameter data.

[0026] Specifically, in order to solve the defect in the prior art that it is difficult to ensure the timeliness of the simulation model established using static data, the embodiment collects the static production line structure data and the dynamic production line process data separately when collecting production line related data.

[0027] Among them, the production line structure data includes structural attribute data, such as the name, category and corresponding parameters of each equipment or workstation in the production line, structural coordinate data, such as the physical coordinate position of each equipment or workstation in the target production line coordinate system, structural connection relationship information, such as the connection relationship and connection method between each equipment in the production line, and transportation relationship information, such as the connection relationship and transportation rules of each transportation equipment.

[0028] Production line process data includes process route information, such as the processing route information of a material in the production line, and process parameter data, such as the preparation time and processing time of the corresponding material in the processing equipment in a certain processing step.

[0029] In some embodiments of the present invention, Figure 2 Schematic diagram of the process of constructing a production line knowledge graph according to an embodiment of the present invention. Figure 2 As shown in the figure, a production line knowledge graph is constructed based on the production line structure data and production line process data, including: S201, determine each knowledge graph ontology according to each data type in the production line structure data and the production line process data, and establish entity triples and relationship triples; S202. According to the production line structure data, production line process data and based on the data structure of entity triples and relationship triples, data is filled in the entity triples and relationship triples to obtain a production line knowledge graph.

[0030] In some embodiments of the present invention, an entity triple includes an entity, an attribute, and an attribute value, and a relationship triple includes a first entity, a second entity, and an entity relationship.

[0031] Specifically, in order to ensure the standardization of the modeling process, after the production line structure data and production line process data are effectively collected, the embodiment uses a knowledge graph to organize various types of data.

[0032] First, the embodiment first determines the knowledge graph ontology that needs to be established based on the data types contained in the production line structure data and the production line process data. The knowledge graph ontology is divided into a general knowledge graph ontology and a domain knowledge graph ontology. The general knowledge graph ontology includes general types of ontologies such as state, time and location, and the domain knowledge graph ontology includes ontologies related to production line fields such as production, resources and processing technology. Then, entity triples and relationship triples are established based on the determined ontology to establish the model layer of the knowledge graph. The entity triple is in the form of "entity-attribute-attribute value", and the relationship triple is in the form of "first entity-entity relationship-second entity".

[0033] Then, the embodiment fills data in each entity triple and relationship triple according to the production line structure data and production line process data, establishes the data layer of the knowledge graph, and completes the construction of the knowledge graph.

[0034] In some embodiments of the present invention, the production line structure knowledge graph includes the physical structure and structural connection relationship of the production line; the production line process knowledge graph includes the production line behavior knowledge graph and the production line performance knowledge graph, wherein the production line behavior knowledge graph includes equipment behavior mode and equipment operating parameters, and the production line performance knowledge graph includes production status information, production capacity information and bottleneck equipment information.

[0035] Specifically, in order to reasonably utilize static data and dynamic data, the production line knowledge graph constructed in the embodiment includes a production line structure knowledge graph and a production line process knowledge graph, wherein the production line process knowledge graph can be further subdivided into a production line behavior knowledge graph and a production line performance knowledge graph according to the category of knowledge. The production line structure knowledge graph is used to store knowledge such as the physical structure and structural connection relationship of the production line; the production line behavior knowledge graph is used to store knowledge such as equipment behavior mode and related equipment operating parameters during the operation of the production line; the production line performance knowledge graph is used to store the production status information and production capacity information of each part during the operation of the production line, as well as the bottleneck equipment information that limits the overall efficiency of the production line during the production and processing process.

[0036] In some embodiments of the present invention, the production line structure model is obtained by performing structure instantiation according to the production line structure information, including: According to the production line structure information, the preset template component types and their coordinate information and connection relationship information required for simulation modeling are determined, and the production line structure model is established according to the coordinate information and connection relationship information.

[0037] Specifically, after the production line knowledge graph is constructed, the embodiment instantiates and generates a digital twin simulation model of the production line based on the production line knowledge graph. First, the structure needs to be instantiated. The embodiment determines the production line structure information based on the production line structure knowledge graph, and determines the basic component information and connection relationship information of each component based on the production line structure information. Then, in the simulation software, the production line structure information is combined with the preset software template library to select the preset template components of each corresponding type, name the components according to the component information, and determine the position coordinates of the components. According to the physical coordinates of the components, each component is placed in the corresponding position in the simulation environment. Connect the components according to the connection information, determine the type of connected components according to the connection information, and establish connection components between components in the simulation environment. Finally, after constructing each component of the production line in turn, the production line structure model is obtained.

[0038] In some embodiments of the present invention, a production line structure model is instantiated according to the production line process information to obtain a production line digital twin simulation model, including: The process flow and process parameters of each preset template component are determined according to the process flow information of the production line, and the simulation rules and simulation process parameters of each preset template component are set according to the process flow and process parameters to obtain a digital twin simulation model of the production line.

[0039] Specifically, after obtaining the production line structure model, in order to make the production line digital twin simulation model dynamic, the embodiment instantiates the production line structure model according to the production line process flow information, including instantiating the process flow and process parameters.

[0040] The instantiated process flow refers to the component flow that each material undergoes during the entire process. The instantiated process parameters refer to the process processing rules at each preset template component, such as setting the operation rules at each processing equipment or station, including the processing time, processing method and processing parameters of each material.

[0041] The production line digital twin simulation model established in the above manner according to the embodiment of the present invention can realize the application of various production line operation scenarios, such as visual monitoring of production line status, prediction application of production line capacity based on production line simulation model, and production line scheduling control based on production line simulation model and other application scenarios. In addition, the production line digital twin simulation model established by the embodiment of the present invention can also generate new digital twin data according to the corresponding application scenario of the production line, and store it in the production line knowledge graph, so as to store or update the corresponding data in the production line knowledge graph.

[0042] In summary, the method for constructing a digital twin simulation model of a production line provided by the present invention first obtains the production line structure data and production line process data of the production line to be modeled, and constructs a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; then, the production line structure information is determined based on the production line structure knowledge graph, the production line process flow information is determined based on the production line process knowledge graph, the production line structure model is obtained by structural instantiation based on the production line structure information, and the production line structure model is instantiated by process based on the production line process flow information to obtain a digital twin simulation model of the production line. The present invention performs structural instantiation through the production line structure knowledge graph and process instantiation through the production line process knowledge graph, and can perform dynamic data modeling on the production line, ensure the timeliness of the simulation model's simulation of the production line, and effectively improve the practical performance of the simulation model.

[0043] In order to better implement the production line digital twin simulation model construction method in the embodiment of the present invention, based on the production line digital twin simulation model construction method, correspondingly, Figure 3 As shown, the present invention also provides a production line digital twin simulation model construction device, and the production line digital twin simulation model construction device 300 includes: The knowledge graph construction unit 301 is used to obtain the production line structure data and production line process data of the production line to be modeled, and to construct a production line knowledge graph according to the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; The model instantiation unit 302 is used to determine the production line structure information according to the production line structure knowledge graph, determine the production line process flow information according to the production line process knowledge graph, perform structural instantiation according to the production line structure information to obtain the production line structure model, and perform process instantiation on the production line structure model according to the production line process flow information to obtain a production line digital twin simulation model.

[0044] The production line digital twin simulation model construction device 300 provided in the above embodiment can implement the technical solution described in the above production line digital twin simulation model construction method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above production line digital twin simulation model construction method embodiment, which will not be repeated here.

[0045] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0046] In some embodiments, the processor 401 can be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 402, such as the production line digital twin simulation model construction method in the present invention.

[0047] In some embodiments, processor 401 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented in a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0048] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0049] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0050] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information of the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0051] In one embodiment, when the processor 401 executes the production line digital twin simulation model building program in the memory 402, the following steps may be implemented: Obtaining production line structure data and production line process data of the production line to be modeled, and constructing a production line knowledge graph based on the production line structure data and production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; The production line structure information is determined according to the production line structure knowledge graph, the production line process flow information is determined according to the production line process knowledge graph, the production line structure model is obtained by structural instantiation according to the production line structure information, and the production line structure model is process instantiated according to the production line process flow information to obtain a production line digital twin simulation model.

[0052] It should be understood that when the processor 401 executes the production line digital twin simulation model construction program in the memory 402, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0053] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0054] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions in the production line digital twin simulation model construction method provided in the above-mentioned method embodiments.

[0055] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0056] The above is a detailed introduction to the production line digital twin simulation model construction method, device, electronic device and storage medium provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for constructing a digital twin simulation model of a production line, characterized in that: include: Acquire production line structure data and production line process data of the production line to be modeled, and construct a production line knowledge graph based on the production line structure data and the production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; The production line structure information is determined according to the production line structure knowledge graph, the production line process flow information is determined according to the production line process knowledge graph, the production line structure model is obtained by structural instantiation according to the production line structure information, and the production line structure model is process instantiated according to the production line process flow information to obtain a production line digital twin simulation model.

2. The method for constructing a digital twin simulation model of a production line according to claim 1, characterized in that: The production line structure data includes structure attribute data, structure coordinate data, structure connection relationship information and transportation relationship information; the production line process data includes process route information and process parameter data.

3. The method for constructing a digital twin simulation model of a production line according to claim 1, characterized in that: The constructing of a production line knowledge graph according to the production line structure data and the production line process data includes: Determine each knowledge graph ontology according to each data type in the production line structure data and the production line process data, and establish entity triples and relationship triples; According to the production line structure data, the production line process data and based on the data structure of the entity triples and the relationship triples, data is filled in the entity triples and the relationship triples to obtain a production line knowledge graph.

4. The method for constructing a digital twin simulation model of a production line according to claim 3, characterized in that: The entity triple includes an entity, an attribute and an attribute value, and the relationship triple includes a first entity, a second entity and an entity relationship.

5. The method for constructing a digital twin simulation model of a production line according to claim 1, characterized in that: The production line structure knowledge graph includes the physical structure and structural connection relationship of the production line; the production line process knowledge graph includes the production line behavior knowledge graph and the production line performance knowledge graph, wherein the production line behavior knowledge graph includes equipment behavior mode and equipment operating parameters, and the production line performance knowledge graph includes production status information, production capacity information and bottleneck equipment information.

6. The method for constructing a digital twin simulation model of a production line according to claim 1, characterized in that: The step of instantiating the structure according to the production line structure information to obtain the production line structure model includes: According to the production line structure information, the preset template component type and its coordinate information and connection relationship information required for simulation modeling are determined, and the production line structure model is established according to the coordinate information and the connection relationship information.

7. The method for constructing a digital twin simulation model of a production line according to claim 6, characterized in that: The process instantiating the production line structure model according to the production line process information to obtain a production line digital twin simulation model includes: The process flow and process parameters of each of the preset template components are determined according to the process flow information of the production line, and the simulation rules and simulation process parameters of each of the preset template components are set according to the process flow and process parameters to obtain a digital twin simulation model of the production line.

8. A production line digital twin simulation model construction device, characterized in that: include: A knowledge graph construction unit, used to obtain production line structure data and production line process data of the production line to be modeled, and to construct a production line knowledge graph according to the production line structure data and the production line process data, wherein the production line knowledge graph includes a production line structure knowledge graph and a production line process knowledge graph; A model instantiation unit is used to determine the production line structure information according to the production line structure knowledge graph, determine the production line process flow information according to the production line process knowledge graph, perform structural instantiation according to the production line structure information to obtain a production line structure model, and perform process instantiation on the production line structure model according to the production line process flow information to obtain a production line digital twin simulation model.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store computer programs; The processor, coupled to the memory, is used to execute a computer program to implement the steps in the method for constructing a digital twin simulation model of a production line as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method for constructing a digital twin simulation model of a production line described in any one of claims 1 to 7 are implemented.

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