WO2024178642A1 - Method and apparatus for controlling production unit based on meta-universe, device, and storage medium - Google Patents

Abstract

A method and apparatus for controlling a production unit based on a meta-universe, a device, and a storage medium. The method comprises: on the basis of a meta-universe, receiving a control instruction adapted to control a production unit, the meta-universe comprising a digital twin of the production unit, wherein the digital twin is adapted to interact with a plurality of roles associated with the production unit in the meta-universe (101); on the basis of the result of the joint interaction between the digital twin and the plurality of roles in the meta-universe, determining an optimized instruction for the control instruction (102); sending the optimized instruction to the production unit (103); and enabling the production unit to execute the optimized instruction (104). The plurality of roles jointly interact in the meta-universe to determine the optimized instruction for the control instruction, achieving the mutual collaboration between different roles of the production unit and increasing the production efficiency; different roles interact on the basis of the meta-universe serving as a unified interaction platform, increasing the collaborative efficiency.

Description

Method, device, equipment and storage medium for controlling production units based on metaverse Technical Field

The present invention relates to the field of industrial control technology, and in particular to methods, devices, equipment and storage media for controlling production units based on a metaverse.

Background Art

A production unit (such as a manufacturing group, manufacturing plant, production workshop or assembly line) is a complex system. In mass customization production, especially in multi-variety and small batch scenarios, the control method of the production unit is particularly complex, which poses significant challenges to cross-departmental collaboration (such as sales, planning, scheduling, production, logistics, quality and equipment engineering).

In addition, to achieve higher production and operation efficiency, cooperation with cross-regional suppliers and partners is usually required.

Summary of the invention

The embodiments of the present invention provide methods, devices, equipment and storage media for controlling production units based on the metaverse.

A method for controlling a production unit based on a metaverse, comprising:

receiving a control instruction adapted to control a production unit based on a metaverse, the metaverse comprising a digital twin of the production unit, wherein the digital twin is adapted to collectively interact with a plurality of roles associated with the production unit in the metaverse;

Determining an optimized instruction of the control instruction based on the joint interaction results between the digital twin and the multiple characters in the metaverse;

sending the optimized instruction to the production unit;

The production unit is enabled to execute the optimized instructions.

It can be seen that multiple roles of the production unit interact together in the metaverse to determine the optimal control instructions. Instructions are sent to the production unit, and then the production unit executes the optimized instructions, which enables mutual cooperation between different roles in the production unit and improves the production efficiency of the production unit. In addition, different roles in the production unit can interact conveniently based on the metaverse as a unified interactive platform, which improves the efficiency of cooperation.

In one embodiment, it includes:

generating a static simulation model of the production unit based on first data characterizing static resources of the production unit;

acquiring decision-making knowledge associated with the production process of the production unit;

Acquiring second data representing real-time dynamic resources of the production unit;

fusing the second data into third data matching the static simulation model;

driving the static simulation model based on the third data and the decision knowledge to generate a digital twin of the production unit;

The digital twin is presented in the metaverse.

Therefore, the implementation mode of the present invention generates a static simulation model based on the static resources of the production unit, and uses decision-making knowledge and real-time dynamic resources to drive the static simulation model to generate a digital twin of the production unit. The digital twin in the metaverse can provide quantitative evaluation, analysis and verification of the production process, and facilitate multi-role negotiation of optimized control instructions.

In one embodiment, it includes:

Obtaining required resources corresponding to respective roles among the multiple roles obtained by the digital twin executing the optimized instructions;

Determining a notification message corresponding to the respective roles, wherein the notification message is adapted to notify the respective roles of required resources;

It can be seen that the digital twin can inform the required resources for each role, facilitating the implementation of the real production process.

Notification messages corresponding to the respective roles are sent to the respective roles in the metaverse.

In one embodiment, determining the optimized instruction of the control instruction based on the common interaction results between the digital twin and the multiple characters in the metaverse includes:

Obtaining production parameters obtained by the digital twin executing the control instruction;

Determining, from the plurality of roles, an associated role associated with the production parameter;

In the metaverse, sending the production parameter to the associated role;

In the metaverse, receiving an instruction update command adapted to update the control instruction from the associated role;

Based on the instruction update command, update the control instruction;

The updated control instruction is determined as the optimized instruction.

Therefore, the control instructions may be optimized based on the production parameters obtained by executing the control instructions to obtain optimized instructions.

In one embodiment, the receiving, from the associated role, an instruction update command adapted to update the control instruction comprises:

When the current resource capability of the associated role does not support the production parameter, sending a prompt message for prompting the associated role to update the resource capability in the metaverse;

When the updated resource capabilities of the associated role support the production parameters, an instruction update command adapted to maintain the production parameters is generated; when the updated resource capabilities of the associated role still do not support the production parameters, an instruction update command adapted to change the production parameters is generated.

It can be seen that based on the updated resource capabilities of the associated roles, production parameters can be maintained or changed to optimize control instructions.

In one embodiment, the static resource includes at least one of the following: a bill of materials; a process bill; static configuration parameters of the production unit;

The real-time dynamic resource includes at least one of the following: the real-time status of the work in progress; the real-time status of the work order; the real-time status of the equipment of the production unit.

Therefore, static resources and real-time dynamic resources have multiple implementation methods.

In one embodiment, the control instruction includes at least one of the following:

Control instructions during the production line planning phase of the production unit;

Control instructions during the product launch phase of said production unit;

Control instructions during the production operation phase of the production unit.

It can be seen that the control instructions have multiple implementation methods and are applicable to various scenarios.

A device for controlling production units based on a metaverse, comprising:

a receiving module configured to receive a control instruction adapted to control a production unit based on a metaverse, the metaverse comprising a digital twin of the production unit, wherein the digital twin is adapted to interact with a plurality of roles associated with the production unit in the metaverse;

A determination module configured to determine an optimized instruction of the control instruction based on a common interaction result between the digital twin and the plurality of characters in the metaverse;

A sending module, configured to send the optimized instruction to the production unit;

An enabling module is configured to enable the production unit to execute the optimized instruction.

It can be seen that multiple roles of the production unit interact together in the metaverse to determine the optimized instructions of the control instructions, and then the production unit executes the optimized instructions, which realizes the mutual cooperation between different roles of the production unit and improves the production efficiency of the production unit. In addition, different roles of the production unit interact based on the metaverse as a unified interaction platform, which improves the efficiency of cooperation.

In one embodiment, it includes:

A presentation module is configured to: generate a static simulation model of the production unit based on first data representing static resources of the production unit; obtain decision knowledge associated with the production process of the production unit; obtain second data representing real-time dynamic resources of the production unit; fuse the second data into third data matching the static simulation model; drive the static simulation model based on the third data and the decision knowledge to generate a digital twin of the production unit; and present the digital twin in the metaverse.

Therefore, the implementation mode of the present invention generates a static simulation model based on the static resources of the production unit, and uses decision-making knowledge and real-time dynamic resources to drive the static simulation model to generate a digital twin of the production unit. The digital twin in the metaverse can provide quantitative evaluation, analysis and verification of the production process, and facilitate multi-role negotiation of optimized control instructions.

In one embodiment, the determination module is configured to: obtain the execution The optimized instructions obtain the required resources corresponding to the respective roles among the multiple roles; determine the notification messages corresponding to the respective roles, wherein the notification messages are adapted to notify the required resources of the respective roles; and send the notification messages corresponding to the respective roles to the respective roles in the metaverse.

It can be seen that the digital twin can inform the required resources for each role, facilitating the implementation of the real production process.

In one embodiment, the determination module is configured to: obtain the production parameters obtained by the digital twin executing the control instruction; determine the associated role related to the production parameters from the multiple roles; send the production parameters to the associated role in the metaverse; receive an instruction update command adapted to update the control instruction from the associated role in the metaverse; update the control instruction based on the instruction update command; and determine the updated control instruction as the optimized instruction.

Therefore, the control instructions may be optimized based on the production parameters obtained by executing the control instructions to obtain optimized instructions.

In one embodiment, the determination module is configured to: when the current resource capabilities of the associated role cannot support the production parameters, send a prompt message to the associated role in the metaverse to prompt the associated role to update the resource capabilities; when the updated resource capabilities of the associated role support the production parameters, generate an instruction update command suitable for maintaining the production parameters; when the updated resource capabilities of the associated role still do not support the production parameters, generate an instruction update command suitable for changing the production parameters.

It can be seen that based on the updated resource capabilities of the associated roles, production parameters can be maintained or changed to optimize control instructions.

An electronic device, comprising:

processor;

A memory, configured to store executable instructions of the processor;

The processor is used to read the executable instruction from the memory and execute the executable instruction. Execute instructions to implement the method of controlling production units based on the metaverse as described in any of the above items.

A computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the method for controlling production units based on a metaverse as described in any one of the above items.

A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the method for controlling a production unit based on a metaverse as described in any one of the above items is implemented.

BRIEF DESCRIPTION OF THE DRAWINGS

The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that those skilled in the art can better understand the above and other features and advantages of the present invention. In the accompanying drawings:

FIG1 is a flow chart of a method for controlling a production unit based on a metaverse according to an embodiment of the present invention.

2 is an exemplary process diagram for presenting a digital twin of a production unit in a metaverse according to an embodiment of the present invention.

FIG3 is an exemplary process diagram of a metaverse-based factory control according to an embodiment of the present invention.

FIG4 is a structural diagram of an apparatus for controlling production units based on a metaverse according to an embodiment of the present invention.

FIG. 5 is a structural diagram of an electronic device according to an embodiment of the present invention.

The reference numerals are as follows:

DETAILED DESCRIPTION

In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail with reference to the following embodiments.

For the sake of brevity and intuitiveness in description, the scheme of the present invention is explained below by describing several representative implementations. A large number of details in the implementations are only used to help understand the scheme of the present invention. However, it is obvious that the technical scheme of the present invention may not be limited to these details when implemented. In order to avoid unnecessarily obscuring the scheme of the present invention, some implementations are not described in detail, but only a framework is given. Hereinafter, "including" means "including but not limited to", and "according to..." means "at least according to..., but not limited to only according to...". Due to the language habits of Chinese, when the number of a component is not specifically specified below, it means that the component can be one or more, or can be understood as at least one.

The applicant found that there are usually at least the following technical problems in the control process of the current production unit:

(1): Different roles in production units lack a unified model for quantitative evaluation, analysis and verification of production processes.

(2): Lack of collaboration between different roles in the production unit.

(3): Different roles in the production unit rely on their own digital software systems to achieve mutual communication and data transmission, and lack a unified interactive platform.

The embodiment of the present invention proposes a Metaverse application framework for collaboration between multiple roles of a production unit. Based on simulation technology and digital twin technology, it drives the mutual collaboration between different roles of a production unit on a common interactive platform (that is, the Metaverse), thereby improving the production efficiency of the production unit.

FIG1 is a flow chart of a method for controlling a production unit based on a metaverse according to an embodiment of the present invention. As shown in FIG1 , the method includes:

Step 101: Receive control instructions adapted to control a production unit based on a metaverse, where the metaverse includes a digital twin of the production unit, wherein the digital twin is adapted to interact with multiple roles associated with the production unit in the metaverse.

Here, production units refer to units that can engage in production and business activities, including industry, mining, commerce and trade, etc. Specifically, production units can be implemented as manufacturing groups, manufacturing plants, production workshops or assembly lines, etc.

The metaverse is constructed by humans using digital technology, which is a reflection of the real world or transcends the real world. A virtual world that interacts with the real world and has a digital living space for a new social system. The Metaverse can be accessed by many roles in the production unit through devices such as augmented reality (AR), virtual reality (VR), mixed reality (MR), mobile phones, game consoles or personal computers (PCs).

Digital twins make full use of data such as physical models, sensor updates, and operation history, integrate multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes, and complete mapping in virtual space, thereby reflecting the entire life cycle of the corresponding physical equipment. The digital twin of a production unit can complete the mapping of a production unit in the real world in virtual space, reflecting the entire life cycle of a production unit in the real world.

In one embodiment, the role associated with the production unit may be a role in the production unit or a collaboration partner of the production unit.

For example, roles associated with a production unit might include:

(I): Roles in a production unit. For example, roles within the department to which the production unit belongs, roles across departments, or roles across regions. Specifically, roles in a production unit may include:

(1) Sales: Salespeople can place orders and keep an eye on delivery dates, clearly seeing the production status in the Metaverse so that customers can have confidence in the delivery schedule.

(2) Planning: Planners generate production and material requirements plans and are responsible for on-time delivery. In the metaverse, planners learn about the execution of plans based on the digital twin and can provide specific schedules.

(3) Scheduling: The scheduler breaks down the plan into specific production lines and assigns tasks to specific resources. The scheduler can test different scheduling schemes in the Metaverse and select the optimal one.

(4) Production Supervisor: Arranges resources according to the production schedule and monitors and tracks the actual production progress in the Metaverse.

(5) Operators: Operators need to know the specific operations and the time required to complete them. Operators can schedule all tasks to be completed in the Metaverse in advance.

(6) Internal logistics: According to the plans of planners and dispatchers, reasonably arrange material preparation, material distribution frequency and time. Different distribution plans can be tested and verified in the Metaverse to ensure timely distribution. Optimize logistics costs while delivering materials.

(7) Quality inspection: Develop appropriate quality inspection sampling methods in the Metaverse according to the plan without affecting normal production.

(8) Equipment Engineering: Check the feasibility of equipment use in the Metaverse and arrange equipment maintenance and repair plans in advance.

(ii) Collaborative partners of production units. For example:

(1) External suppliers of production units;

(2)Partners of the production unit.

For example, online service providers or solution partners (such as equipment suppliers of smart handling robots) can check the operating status of the equipment and propose solutions based on the analysis.

The above exemplary descriptions are typical examples of the roles of production units. Those skilled in the art will appreciate that such descriptions are merely exemplary and are not intended to limit the scope of protection of the embodiments of the present invention.

In one embodiment, it also includes a process of pre-presenting a digital twin in the metaverse. The process of presenting a digital twin in the metaverse specifically includes: generating a static simulation model of the production unit based on first data representing the static resources of the production unit; obtaining decision knowledge associated with the production process of the production unit; obtaining second data representing the real-time dynamic resources of the production unit; fusing the second data into third data matching the static simulation model; driving the static simulation model based on the third data and decision knowledge to generate a digital twin of the production unit; and presenting the digital twin in the metaverse.

In one embodiment, the static resources include at least one of the following: Bill of Material (BOM); Bill of Processes (BOP); static configuration parameters of the production unit, etc. Among them: BOM is a technical document that describes the product composition of the production unit. For example, in the processing industry, BOM shows the structural relationship and required quantity between the final assembly, sub-assembly, components, parts, and even raw materials of the product. BOP is the link between the Engineering Bill of Materials (EBOM) and the Manufacturing Bill of Materials (MBOM). BOM shows the entire process of processing in sequence and continuously from raw material input to finished product output through certain production equipment or pipelines. The process flow is composed of the production technical conditions of the industrial enterprise and the product Determined by the production technology characteristics. The static configuration parameters of the production unit may include the inherent configuration parameters of the production unit, such as workshop size, equipment type and equipment quantity, etc.

In one embodiment, the static simulation model includes a mechanism model that can be a production unit. The mechanism model of the production unit, also known as the white box model of the production unit, is an accurate mathematical model that describes the production unit and is established based on the objects in the production unit, the internal mechanism of the production process, or the transfer mechanism of the material flow. The mechanism model of the production unit can be a mathematical model that characterizes the production process of the production unit based on the mass balance equation, the energy balance equation, the momentum balance equation, the phase balance equation, and certain physical property equations, chemical reaction laws, etc.

In one embodiment, the decision knowledge includes a control logic strategy for controlling the production process of the production unit. For example, the decision knowledge can be obtained from user input. The control logic strategy may specifically include: (1): after a certain device in the production unit breaks down, specify a replacement device for the broken down device; (2): a processing strategy when the space in the temporary storage area for materials is insufficient (for example, diverting the logistics to a spare area), etc.

In one embodiment, the real-time dynamic resource includes at least one of the following: the real-time status of the work in progress; the real-time status of the work order; the real-time status of the equipment of the production unit, etc. The specific operation of fusing the second data representing the real-time dynamic resource into the third data matching the static simulation model includes: data cleaning, processing and fitting, etc. Among them: the real-time dynamic resource can be obtained from the real production unit through OPC UA or advanced PLC interface.

In the static simulation model, the production process of the production unit is described by the correlation between the key parameters associated with the real-time dynamic resources. The third data contains the real-time specific values of the real-time dynamic resources and can be regarded as the instantiation data of the key parameters. The decision knowledge provides the static simulation model with the control logic strategy for the production process. Therefore, the static simulation model can be driven based on the third data and decision knowledge to generate a digital twin that can map the production unit in real time.

2 is an exemplary process diagram for presenting a digital twin of a production unit in a metaverse according to an embodiment of the present invention.

In FIG2 , based on first data 21 (e.g., in XML file format or xlsx file format) representing the static resources of the production unit, a static simulation model of the production unit is generated through a modeling process 22 of a static simulation model (e.g., based on discrete event simulation (DES) technology). The static simulation model includes The key parameters of real-time dynamic resources are defined, but the actual values of the key parameters are missing. For example, the key parameters can be the real-time status of the work in progress, the real-time status of the work order, the real-time status of the equipment of the production unit, etc.

In addition, decision knowledge 23 for specifying the control logic strategy in the production unit can be obtained from manual input. Moreover, the second data 24 representing the specific real-time numerical value of the key parameters is obtained from the production unit in the physical world. Data fusion processing 25 such as data cleaning, processing and fitting is performed on the second data 24 to obtain the third data that matches the key parameters after data fusion processing. Then, the key parameters in the static simulation model are instantiated based on the third data. The instantiated key parameters and decision knowledge 23 can jointly drive the static simulation model to obtain a digital twin 26 that can map the production unit in the physical world in real time. The digital twin 26 is arranged in the metaverse 27, such as in the form of a three-dimensional icon or a three-dimensional model. The digital twin 26 can provide quantitative evaluation, analysis and verification of the production process. Moreover, the metaverse 27 can be accessed by many roles of the production unit through devices such as AR, VR, MR, mobile phones, game consoles or PCs.

Therefore, the implementation mode of the present invention generates a static simulation model based on the static resources of the production unit, and uses decision-making knowledge and real-time dynamic resources to drive the static simulation model to generate a digital twin of the production unit. The digital twin in the metaverse can provide quantitative evaluation, analysis and verification of the production process, and facilitate multi-role negotiation of optimized control instructions.

The above exemplary description presents a typical example of a digital twin of a production unit in the metaverse. Those skilled in the art will appreciate that this description is merely exemplary and is not intended to limit the scope of protection of the embodiments of the present invention.

Step 102: Determine optimized control instructions based on the results of the joint interaction between the digital twin and multiple characters in the metaverse.

In one embodiment, step 102 specifically includes: obtaining production parameters obtained by the digital twin executing the control instruction; determining an associated role related to the production parameters from multiple roles; sending the production parameters to the associated role in the metaverse; receiving an instruction update command adapted to adjust the control instruction from the associated role in the metaverse; updating the control instruction based on the instruction update command; and determining the updated control instruction as the optimized instruction.

In one embodiment, receiving an instruction update command adapted for adjusting control instructions from an associated role includes: when the current resource capabilities of the associated role do not support production parameters, issuing a prompt message in the metaverse to the associated role for prompting to update resource capabilities; wherein when the updated resource capabilities of the associated role support production parameters, generating an instruction update command adapted for maintaining production parameters; when the updated resource capabilities of the associated role still do not support production parameters, generating an instruction update command adapted for changing production parameters.

For example: Assume that the control instruction instructs the production unit to execute the following workflow: Step 1: Produce 100 SUV cars of model A; Step 2: Produce 200 family cars of model B.

In the digital twin, the control instruction is executed to simulate the production unit executing the workflow, and a list of production parameters simulating the production process is obtained. For example, the production parameters include: the utilization rate of welding equipment; the utilization rate of stamping equipment; the demand for materials (such as plastic steel, glass, rubber, petroleum products, alloys, steel); the demand for material storage space; the batches and batches of material distribution; the task volume of quality inspection, etc. The digital twin pre-defines the association between production parameters and roles. For example, based on the association, the digital twin determines that the utilization rate of welding equipment and the utilization rate of stamping equipment are parameters that the dispatcher is concerned about; the material demand and the batches and batches of material distribution are parameters that the internal logistics personnel are concerned about; and the task volume of quality inspection is a parameter that the quality inspection personnel are concerned about. In the metaverse, the digital twin shows the utilization rate of welding equipment and the utilization rate of stamping equipment to the dispatcher, the material demand and the batches and batches of material distribution to the internal logistics personnel, and the task volume of quality inspection to the quality inspection personnel through immersive interaction.

The digital twin can also determine whether the current resource capabilities of each associated role support their respective production parameters. When the current resource capabilities of each associated role support them, the control instructions are maintained, that is, the optimized control instructions are the original control instructions.

When the current resource capabilities of an associated role do not support the production parameters corresponding to the associated role, the digital twin sends a prompt message in the metaverse to the associated role that does not support the production parameters to prompt it to update the resource capabilities. The associated role updates the resource capabilities based on the prompt message. When the updated resource capabilities of the associated role can support the production parameters, the digital twin generates an instruction update command adapted to maintain the production parameters; when the updated resource capabilities of the associated role still do not support the production parameters, the digital twin generates an instruction update command adapted to change the production parameters. Based on the maintained or changed production parameters, the digital twin Optimize control instructions.

For example, if the internal logistics personnel report that even after adding materials, the material of Model A SUV is still insufficient, the digital twin will reduce the production quantity of Model A SUV in the control instruction. For example, if the number of Model A SUV is reduced to 50, the optimized control instruction will specify 50 Model A SUVs (the rest of the control instruction remains unchanged).

For another example, if the quality inspector reports that even after adding quality inspection points, the quality inspection points of model B family cars are still insufficient, the digital twin will reduce the production quantity of model B family cars in the control instruction. For example, if the number of model B family cars is reduced to 100, the optimized control instruction specifies that the number of model B family cars is 100 (the rest of the control instruction remains unchanged).

In one embodiment, the control instruction includes at least one of the following:

(1): Control instructions in the production line planning stage of the production unit;

For example, in the planning stage of a new factory or production line, it is necessary to cooperate with other departments or even external suppliers to complete the specific design of the production line. The entire process from order to delivery needs to be involved, and a unified platform needs to be established for the iteration and selection of solutions. Based on the process shown in Figure 1, the production line planning instructions in the production line planning stage can be negotiated between multiple roles.

(2): Control instructions during the product launch phase of a production unit.

For example, the launch of a new product will involve fluctuations in various tasks, such as process flow, working hours, materials, logistics, quality, and equipment management. Based on the process shown in Figure 1, multiple roles can quickly collaborate to formulate control instructions during the product launch phase.

(3): Control instructions during the production operation phase of a production unit.

For example, based on the process shown in Figure 1, the workflow evaluation and quantitative analysis from sales orders to production plans and logistics distribution plans in the production operation stage of the production unit can be realized. Moreover, based on the process shown in Figure 1, the impact of different experimental schemes through immersive interaction makes the benefits of cross-departmental cooperation appear in a timely manner, creating conditions for continuous improvement.

Step 103: Send optimized instructions to the production unit.

Here, the digital twin sends optimized instructions to the production unit.

Step 104: Enable the production unit to execute the optimized instructions.

Here, real-world production units execute optimized instructions.

It can be seen that in the embodiments of the present invention, based on the digital twin technology, the metaverse is provided with quantitative analysis, evaluation and verification functions. Moreover, through the more immersive and friendly interactive environment in the metaverse, efficient collaboration among multiple roles is achieved.

In one embodiment, the method includes: obtaining the required resources corresponding to each of the multiple roles obtained by executing the optimized instructions by the digital twin; determining the notification message corresponding to each of the roles, wherein the notification message is adapted to notify the required resources of each of the roles; and sending the notification message corresponding to each of the roles to each of the roles in the metaverse. Therefore, the notification message corresponding to each of the roles can be determined, wherein the notification message is adapted to notify the required resources of each of the roles.

The implementation of the present invention is described by taking the production unit as a factory as an example. Fig. 3 is an exemplary process diagram of controlling a factory based on a metaverse according to an implementation of the present invention.

In FIG3 , a digital twin factory 43 of a factory 51 in the real world 50 can be established through a factory simulation tool (e.g., based on discrete event simulation technology). The digital twin factory 43 belongs to the virtual world 40. The digital twin factory 43 is connected to the physical factory 51 driven by the digital twin factory 43 through an interface package, OPC UA, PLCSIM Advanced, or Socket provided by the factory simulation tool. The digital twin factory 43 is deployed to the metaverse 42 in the virtual world 40. The digital twin factory 43 can be connected to the physical world 50 and interact with humans. The digital twin factory 43 in the metaverse 42 obtains the real-time IoT data of the factory 51 (e.g., the real-time status of work-in-progress, the real-time status of work orders, and the real-time status of equipment in production units, etc.) and the current control strategy through the SCADA equipment of the factory 51, so as to visualize the real-time status of the factory operation. Moreover, the real-time IoT data and the current control strategy also provide basic data input for the quantitative analysis, evaluation, and verification of the digital twin factory 43. The real-time IoT data and the current control strategy can drive the digital twin factory 43.

The multiple roles 30 associated with the factory 51 may include external suppliers or partners 31, cross-department roles 32, and cross-regional roles 33, etc. Each role 30 can access the metaverse 42 in the virtual world 40 through its own interaction method 41 (e.g., AR, VR, MR, mobile phone, game console or PC, etc.). The multiple roles 30 are located in the digital twin factory 43 in the metaverse 42. Each role 30 can access the metaverse 42 in the virtual world 40 through its own interaction method 41 (e.g., AR, VR, MR, mobile phone, game console or PC, etc.). The respective distributed communication technologies provide immersive and friendly interactive access to the Metaverse 42, which enables all roles across departments, regions, and even external suppliers or partners to easily access the Metaverse 42. Through the digital twin factory 43, all roles 30 can view, query, modify, run, and test solutions. With the help of VR tools, such as HTC VIVE (a VR device) and connection plug-ins (e.g., moreViz), an immersive environment can be provided for all roles 30, and more knowledge can be obtained from the factory 51. The digital twin factory 43 makes decisions in the Metaverse 42 to optimize control instructions, generate feedback reports, and publish optimized control instructions. The digital twin factory 43 feeds back the optimized control instructions (e.g., work order execution sequence, logistics scheduling sequence, control strategy update) to the factory 51 so that the factory 51 executes the optimized control instructions based on SCADA.

Fig. 4 is a structural diagram of a device for controlling a production unit based on a metaverse according to an embodiment of the present invention. As shown in Fig. 4, a device 400 for controlling a production unit based on a metaverse includes:

A receiving module 402 is configured to receive a control instruction adapted to control a production unit based on a metaverse, the metaverse comprising a digital twin of the production unit, wherein the digital twin is adapted to interact with a plurality of roles associated with the production unit in the metaverse;

A determination module 403 is configured to determine an optimized instruction of the control instruction based on the common interaction results between the digital twin and the multiple characters in the metaverse;

A sending module 404 is configured to send the optimized instructions to the production unit;

The enabling module 405 is configured to enable the production unit to execute the optimized instructions.

In one embodiment, the apparatus 400 for controlling a production unit based on a metaverse includes:

The presentation module 401 is configured to: generate a static simulation model of the production unit based on first data representing the static resources of the production unit; obtain decision knowledge associated with the production process of the production unit; obtain second data representing the real-time dynamic resources of the production unit; fuse the second data into third data matching the static simulation model; drive the static simulation model based on the third data and the decision knowledge to generate a digital twin of the production unit; and present the digital twin in the metaverse.

In one embodiment, the determination module 403 is configured to: obtain the required resources corresponding to each of the multiple roles obtained by the digital twin executing the optimized instructions; determine the notification message corresponding to each role, wherein the notification message is adapted to notify the required resources of each role; and Do not send notification messages corresponding to their respective roles to their respective roles.

In one embodiment, the determination module 403 is configured to: obtain production parameters obtained by the digital twin executing control instructions; determine an associated role related to the production parameters from multiple roles; send the production parameters to the associated role in the metaverse; receive an instruction update command adapted to adjust the control instruction from the associated role in the metaverse; update the control instruction based on the instruction update command; and determine the updated control instruction as the optimized instruction.

In one embodiment, the determination module 403 is configured to: when the current resource capabilities of the associated role cannot support the production parameters, send a prompt message to the associated role in the metaverse to prompt the associated role to update the resource capabilities; when the updated resource capabilities of the associated role support the production parameters, generate an instruction update command suitable for maintaining the production parameters; when the updated resource capabilities of the associated role still do not support the production parameters, generate an instruction update command suitable for changing the production parameters.

The embodiment of the present invention also proposes an electronic device with a processor-memory architecture. FIG5 is a structural diagram of an electronic device according to an embodiment of the present invention. As shown in FIG5, the electronic device 500 includes a processor 501, a memory 502, and a computer program stored on the memory 502 and executable on the processor 501. When the computer program is executed by the processor 501, any of the above methods for controlling production units based on the metaverse is implemented. Among them, the memory 502 can be specifically implemented as a variety of storage media such as an electrically erasable programmable read-only memory (EEPROM), a flash memory (Flash memory), and a programmable program read-only memory (PROM). The processor 501 can be implemented as including one or more central processing units or one or more field programmable gate arrays, wherein the field programmable gate array integrates one or more central processing unit cores. Specifically, the central processing unit or the central processing unit core can be implemented as a CPU, an MCU or a DSP, and the like.

In summary, in an embodiment of the present invention, a control instruction adapted to control a production unit is received based on the metaverse, and the metaverse includes a digital twin of the production unit, wherein the digital twin is adapted to interact with multiple roles associated with the production unit in the metaverse; based on the results of the interaction between the digital twin and the multiple roles in the metaverse, the optimized instruction of the control instruction is determined; the optimized instruction is sent to the production unit; and the production unit is enabled to execute the optimized instruction. Multiple roles interact together in the metaverse to determine the optimized instruction of the control instruction, thereby realizing mutual cooperation between different roles of the production unit and improving production efficiency. Different roles interact based on the metaverse as a unified interaction platform, thereby improving cooperation efficiency.

It should be noted that not all steps and modules in the above processes and structure diagrams are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The division of each module is only for the convenience of describing the functional division adopted. In actual implementation, a module can be implemented by multiple modules, and the functions of multiple modules can also be implemented by the same module. These modules can be located in the same device or in different devices.

The hardware modules in each embodiment can be implemented mechanically or electronically. For example, a hardware module may include a specially designed permanent circuit or logic device (such as a dedicated processor, such as an FPGA or ASIC) for performing a specific operation. The hardware module may also include a programmable logic device or circuit (such as a general-purpose processor or other programmable processor) temporarily configured by software to perform a specific operation. As for whether to implement the hardware module mechanically, or using a dedicated permanent circuit, or using a temporarily configured circuit (such as configured by software), it can be decided based on cost and time considerations.

The above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims (15)

A method for controlling a production unit based on a metaverse, characterized by comprising: Receiving (101) a control instruction adapted to control a production unit based on a metaverse, the metaverse comprising a digital twin of the production unit, wherein the digital twin is adapted to interact with a plurality of roles associated with the production unit in the metaverse; Determining (102) an optimized instruction of the control instruction based on the joint interaction results between the digital twin and the plurality of characters in the metaverse; sending (103) the optimized instruction to the production unit; The production unit is enabled to execute (104) the optimized instructions. The method according to claim 1, characterized in that it comprises: generating a static simulation model of the production unit based on first data characterizing static resources of the production unit; acquiring decision-making knowledge associated with the production process of the production unit; Acquiring second data representing real-time dynamic resources of the production unit; fusing the second data into third data matching the static simulation model; driving the static simulation model based on the third data and the decision knowledge to generate a digital twin of the production unit; The digital twin is presented in the metaverse. The method according to claim 1, characterized in that it comprises: Obtaining required resources corresponding to respective roles among the multiple roles obtained by the digital twin executing the optimized instructions; Determining a notification message corresponding to the respective roles, wherein the notification message is adapted to notify the respective roles of required resources; Notification messages corresponding to the respective roles are sent to the respective roles in the metaverse. The method according to claim 1, characterized in that the determining (102) of the optimized instructions of the control instructions based on the common interaction results between the digital twin and the multiple characters in the metaverse comprises: Obtaining production parameters obtained by the digital twin executing the control instruction; Determining, from the plurality of roles, an associated role associated with the production parameter; In the metaverse, sending the production parameter to the associated role; In the metaverse, receiving an instruction update command adapted to update the control instruction from the associated role; Based on the instruction update command, update the control instruction; The updated control instruction is determined as the optimized instruction. The method according to claim 4, characterized in that the receiving, from the associated role, an instruction update command adapted to update the control instruction comprises: When the current resource capability of the associated role does not support the production parameter, sending a prompt message for prompting the associated role to update the resource capability in the metaverse; When the updated resource capabilities of the associated role support the production parameters, an instruction update command adapted to maintain the production parameters is generated; when the updated resource capabilities of the associated role still do not support the production parameters, an instruction update command adapted to change the production parameters is generated. The method according to claim 2, characterized in that The static resources include at least one of the following: a bill of materials; a process list; static configuration parameters of the production unit; The real-time dynamic resource includes at least one of the following: the real-time status of the work in progress; the real-time status of the work order; the real-time status of the equipment of the production unit. The method according to any one of claims 1 to 6, characterized in that the control instruction includes at least one of the following: Control instructions during the production line planning phase of the production unit; Control instructions during the product launch phase of said production unit; Control instructions during the production operation phase of the production unit. A device for controlling production units based on the metaverse, characterized by comprising: A receiving module (402) is configured to receive a control instruction adapted to control a production unit based on a metaverse, the metaverse comprising a digital twin of the production unit, wherein the digital twin is adapted to interact with a plurality of roles associated with the production unit in the metaverse; A determination module (403) is configured to determine an optimized instruction of the control instruction based on the common interaction results between the digital twin and the multiple characters in the metaverse; A sending module (404), configured to send the optimized instruction to the production unit; The enabling module (405) is configured to enable the production unit to execute the optimized instructions. The device according to claim 8, characterized in that it comprises: The presentation module (401) is configured to: generate a static simulation model of the production unit based on first data representing the static resources of the production unit; obtain decision knowledge associated with the production process of the production unit; obtain second data representing the real-time dynamic resources of the production unit; fuse the second data into third data matching the static simulation model; drive the static simulation model based on the third data and the decision knowledge to generate a digital twin of the production unit; and present the digital twin in the metaverse. The device according to claim 8, characterized in that The determination module (403) is configured to: obtain the required resources corresponding to the respective roles among the multiple roles obtained by the digital twin executing the optimized instructions; determine the notification message corresponding to the respective role, wherein the notification message is adapted to notify the required resources of the respective role; and send the notification message corresponding to the respective role to the respective role in the metaverse. The device according to claim 8, characterized in that The determination module (403) is configured to: obtain the production parameters obtained by the digital twin executing the control instruction; determine the associated role related to the production parameter from the multiple roles; send the production parameter to the associated role in the metaverse; receive an instruction update command adapted to update the control instruction from the associated role in the metaverse; update the control instruction based on the instruction update command; and determine the updated control instruction as the optimized instruction. The device according to claim 11, characterized in that The determination module (403) is configured to: when the current resource capability of the associated role cannot support the production parameters, send a prompt message to the associated role in the metaverse to prompt the associated role to update the resource capability; when the updated resource capability of the associated role supports the production parameters, generate an instruction update command adapted to maintain the production parameters; when the updated resource capability of the associated role still does not support the production parameters, generate an instruction update command adapted to change the production parameters. An electronic device, comprising: Processor (501); A memory (502), configured to store executable instructions of the processor (501); The processor (501) is used to read the executable instructions from the memory (502) and execute the executable instructions to implement the method for controlling production units based on the metaverse as described in any one of claims 1-7. A computer-readable storage medium having computer instructions stored thereon, characterized in that when the computer instructions are executed by a processor, the method for controlling production units based on a metaverse as described in any one of claims 1-7 is implemented. A computer program product, characterized in that it includes a computer program, which, when executed by a processor, implements the method for controlling production units based on the metaverse as described in any one of claims 1 to 7.