Digital twin virtual interaction adaptation method and system and readable storage medium

Abstract

The invention provides a digital twin virtual interaction adaptation method and system and a readable storage medium. The system comprises a system management module, a version management module, a scene management module, an equipment management module, a rule management module, a data management module and a UI management module. The scene management module selects a scene for loading; configuring parameters of a system management module, a scene management module, an equipment management module, a rule management module, a data management module and a UI management module based on general basic data and asset data; and storing and releasing the configuration version through the version management module. According to the method, the three-dimensional simulation model configuration template is formed based on the average basic attribute data, two different types of data are provided to adapt to the digital twinning applications with different requirements, the digital twinning applications are quickly formed according to different requirements, the workload of manual repeated modeling and the development time of interaction functions are reduced, and the development efficiency is improved. Therefore, the development cost is reduced, the development efficiency is improved, and more targeted industrial digital twinning application is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of digital twins, and specifically, relates to an adaptation method, system and readable storage medium for digital twin virtual interaction. Background Art

[0002] Digital twin technology uses data such as physical models, sensor updates, and operation history to integrate multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes to complete mapping in virtual space, thereby reflecting the entire life cycle of the corresponding entity. The application of digital twins in the manufacturing industry is a major trend in the future of intelligence, digitization, and unmanned operations. At present, many manufacturing industries have deployed some point-like digital twin applications, but due to differences in on-site environments and business characteristics, the development of digital twin applications generally adopts a customized approach, which has a long development cycle, high costs, and a lack of adaptive functionality and product solutions.

[0003] The patent document "A method, system, device and storage medium for digital twin of a heating furnace" (CN116561998A) discloses a method for digital twin of a heating furnace, which obtains the basic data of the heating furnace, processes the basic data, collects the real-time data of the heating furnace through the processed data, and finally builds a three-dimensional simulation model based on the various data obtained, so that users can monitor and control the heating furnace. However, this method focuses on the hot rolling heating furnace area of ​​the steel industry and cannot be adapted to the development of virtual interactive functions of digital twins in the general manufacturing industry. In addition, the three-dimensional simulation model of the asset needs to be rebuilt each time based on the model data and real-time data, resulting in duplication of work and low development efficiency.

[0004] The configuration method disclosed in the patent document "Industrial Digital Twin Platform Configuration Method System and Readable Storage Medium" (CN118211415A) is limited to the monitoring of real-time data in the digital twin scenario. It is unable to flexibly adjust different parameters according to the basic three-dimensional simulation model to adapt to different simulation optimization data. Therefore, it is impossible to conduct repeatable experiments on the data obtained by the optimization algorithm to find the best operation mode, and the operating efficiency and performance are still insufficient.

[0005] Therefore, to address this pain point, there is an urgent need for an adaptation method and system for digital twin virtual interaction that can configure virtual scenes, equipment, data, interfaces, and interactive functions according to different business scenario requirements, thereby quickly forming digital twin applications and improving development efficiency. Summary of the invention

[0006] In view of the defects in the prior art, the object of the present invention is to provide an adaptation method, system and readable storage medium for digital twin virtual interaction.

[0007] According to the present invention, a digital twin virtual interaction adaptation system is provided, including: a system management module, a version management module, a scene management module, a device management module, a rule management module, a data management module, and a UI management module.

[0008] Select scene loading in the scene management module; Configure system management module, scene management module, device management module, rule management module, data management module and UI management module parameters based on common basic data and asset data; Save and publish configuration versions through the version management module.

[0009] Preferably, the system management module is a general management module, which includes the default configuration, digital twin application name, simulation speed, whether voice control, automatic saving, saving time and configuration of saving time.

[0010] The version management module is a module that operates configuration versions for different industrial fields and business scenarios, including querying, deleting and loading configuration versions.

[0011] The scenario management module constructs different scenario templates for all collected data and loads and configures them for specific business scenarios in different industries.

[0012] The device management module performs configuration management on conventional equipment in loaded industrial workshop scenes, including equipment specification attribute configuration, internal structure attribute configuration and equipment operation status configuration.

[0013] The rule management module performs configuration management on the operation rules of loaded industrial workshops, production lines, and equipment assets, including configuration of production rules, process rules, and equipment rules.

[0014] The data management module includes configuration of data types and interfaces thereof.

[0015] The UI management module includes configuration of UI style, interaction mode and visualization chart, and supports association and binding of data chart with specified data.

[0016] Preferably, the default configuration is general workshop asset data and attribute data according to the selected industrial field three-dimensional simulation model.

[0017] The default minimum value of the simulation speed is 1, and the maximum value is the set configuration.

[0018] The voice control is turned on by pressing a button, and a command is issued to control application closing, perspective switching and three-dimensional data panel display.

[0019] The query, deletion and loading of the configuration version are performed by inputting or checking the corresponding configuration version in the version name list.

[0020] The scene management module loads the specified scene and the associated three-dimensional simulation model according to the requirements, and performs customized parameter configuration based on the default parameters of the loaded specified scene.

[0021] The specification attribute configuration includes device length, device width and device height.

[0022] The internal structure attribute configuration includes internal structure quantity and internal structure specification attributes.

[0023] The device operation status configuration is a configuration for determining whether the device is operating normally.

[0024] The rule management module is configured according to the rules in the actual production process.

[0025] Preferably, the configuration of the data type selects real-time data or planned simulation data, and configures required data items.

[0026] The interface configuration of the data management module is to configure the acquisition address of real-time data and planned simulation data, including http(s), WebSocket, OPC and JDBC communication protocols.

[0027] The UI style configuration includes the configuration of the overall style of the digital twin application interface, the configuration of the interactive interface style, and the configuration of the data chart style.

[0028] The interaction mode is configured to configure the perspective switching, roaming mode and data presentation mode of the virtual scene.

[0029] The visualization chart is configured to associate a bar chart, a curve chart, and a pie chart with specified data in the data management module according to application data presentation requirements, and place them in the main screen.

[0030] Preferably, for the two business scenarios of real-time operation status monitoring and planned simulation, two data type options of digital twin applications, real-time data and simulation optimization data, are provided to adapt to digital twin applications with different needs.

[0031] Configure the acquisition address, interactive functions and UI performance of real-time data and production plan data according to the real-time data and production plan data requirements on site, or adjust different attribute parameters and optimize the data model according to the calculated simulation to simulate the work efficiency and manufacturing process of the production line and equipment.

[0032] According to a digital twin virtual interaction adaptation method provided by the present invention, the adaptation is performed using the digital twin virtual interaction adaptation system, including: Data collection steps: Collect asset data and attribute data of workshops, production lines and equipment, and process them to obtain general basic data and asset data; Three-dimensional simulation model construction steps: construct a three-dimensional simulation model of general workshop assets based on general basic data and asset data; Event data and action data collection steps: collect event data and action data in the production process; Steps for integrating event management and action management: adjust the parameters of the 3D simulation model of general workshop assets, and integrate event data and action data to form event management library and action management library; 3D simulation model association binding step: Bind the corresponding events and actions to the 3D simulation model of the general workshop assets; Main screen UI library integration steps: Integrate common data visualization charts, UI styles and UI interaction methods according to needs to form the main screen UI library.

[0033] Preferably, in the data collection step, the workshop, production line and equipment asset data and attribute data are designed by the corresponding workshop, production line and equipment model CAD Figure 3 The view information is acquired, and the collected data is classified, deduplicated, unified in units and averaged. The general basic data and asset data are saved according to the calculation results. Different general workshop asset data and attribute data are obtained in different industrial fields.

[0034] The event data and action data are the working conditions corresponding to the movement process of equipment assets in actual production, including equipment status update, material loading, storage in and out, displacement change and asset replacement.

[0035] In the event management and action management integration step, the parameters of the scenario-general workshop asset three-dimensional simulation model are adjusted based on the manufacturing business scenario requirements, and the event data and action data are classified and managed in a unified manner.

[0036] Preferably, in the three-dimensional simulation model building step, based on the average basic attribute data of the physical assets in the manufacturing process, a three-dimensional simulation model of a general workshop asset of a general workshop, production line and equipment assets in a manufacturing scenario is built, and a parameter template is configured; Control the number and morphological transformation of virtual scene three-dimensional simulation models according to parameter data, and configure virtual scenes, equipment, data, interfaces and interactive functions.

[0037] The average basic attribute data refers to a large amount of workshop, production line and equipment asset data and attribute data collected in the initial stage of the data collection step.

[0038] Preferably, the three-dimensional simulation model of the general workshop assets completed according to the imported configuration in the three-dimensional simulation model association binding step binds event data and action data, and configures data type and interface address according to specific business scenario requirements.

[0039] In the main screen UI library integration step, common data visualization charts, UI styles and UI interaction methods are integrated according to needs based on the collected real-time operation data or plan data to form a main screen UI library and build a user configuration interface; The common data visualization charts include a trend chart of the heating furnace temperature, a bar chart of the daily cumulative weight of the heated slabs, and a pie chart of the online status of the heating equipment components.

[0040] According to a computer-readable storage medium storing a computer program provided by the present invention, when the computer program is executed by a processor, the steps of the digital twin virtual interaction adaptation method are implemented.

[0041] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention forms a three-dimensional simulation model configuration template based on the average basic attribute data of physical assets in the production and manufacturing process, and then configures functions according to different needs, thereby quickly forming a digital twin application and improving development efficiency.

[0042] 2. The present invention provides two different types of data to adapt to digital twin applications with different needs for two business scenarios: real-time operation status monitoring and planned simulation, so as to facilitate the realization of more targeted industrial digital twin applications.

[0043] 3. The present invention can quickly build digital twin applications, reduce the workload of manual repetitive modeling and the development time of interactive functions, thereby reducing development costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 This is a schematic diagram of the standard process of the digital twin virtual interaction adaptation method.

[0045] Figure 2 Schematic diagram of the functional configuration modules included in the digital twin virtual interaction adaptation system.

[0046] Figure 3 Schematic diagram of the configuration module for the virtual interactive adaptation application of the digital twin of the heating furnace. DETAILED DESCRIPTION

[0047] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0048] According to a digital twin virtual interaction adaptation method provided by the present invention, Figure 1 For example, including: Data collection steps: In the initial stage, a large amount of workshop, production line and equipment asset data and attribute data are collected. Furthermore, the collected data is classified, deduplicated, unified in units, and averaged. Different industrial fields obtain different general workshop asset data and attribute data. As a preparatory work for the digital twin virtual interactive adaptation system, the workshop, production line and equipment asset data and attribute data are designed through the corresponding workshop, production line and equipment model CAD. Figure 3 View information is directly obtained.

[0049] In more preferred examples, basic attribute data of a large number of physical assets of workshops, production lines and equipment assets are collected, and the basic attribute data are averaged to obtain average basic attribute data of the assets; The physical asset data and basic attribute data of the hot rolling heating furnace are collected. The physical asset data are characterized by the furnace bin, loading furnace door, discharging furnace door, loading roller, discharging roller, push steel beam, static beam, walking beam, drawing steel beam, underground structure, flame nozzle and slab material. The basic attribute data are characterized by the number of heating furnaces, heating furnace spacing, heating furnace width, heating furnace length, loading roller length, discharging roller length, loading roller width, discharging roller width, loading roller running speed, discharging roller running speed, walking beam number and width, nozzle number and arrangement, nozzle flame size. The data is classified, deduplicated, unified in units, and averaged, and the general basic data and asset data are saved according to the calculation results.

[0050] Steps for constructing a three-dimensional simulation model: Based on the above-mentioned workshop asset data and attribute data, a three-dimensional simulation model of general workshop assets in different industrial fields, namely, a three-dimensional simulation model, is constructed.

[0051] Based on the average basic attribute data of physical assets in the manufacturing process, a three-dimensional simulation model of a general workshop, production line and equipment asset in the manufacturing scenario is constructed for the first time, and different configuration parameter templates are designed. The average basic attribute data refers to a large amount of workshop, production line and equipment asset data and attribute data collected in the early stage.

[0052] Custom configuration can be performed based on the asset parameter characteristics in the specific virtual scene construction requirements to adapt to different production and manufacturing environments. In other words, the number and morphological transformation of virtual scene 3D simulation models can be controlled according to parameter data, and virtual scenes, equipment, data, interfaces and interactive functions can be configured according to different business scene requirements to quickly form digital twin application virtual scenes and improve development efficiency.

[0053] In more preferred examples, three-dimensional simulation models of common equipment assets are constructed based on average basic attribute data; Based on the above-mentioned general basic data and asset data, a three-dimensional simulation model of the furnace bin, loading furnace door, unloading furnace door, loading roller table, unloading roller table, pushing steel beam, static beam, walking beam, drawing steel beam, underground structure, flame nozzle and slab is constructed through three-dimensional modeling software.

[0054] Event data and action data collection steps: Collect event data and action data in the manufacturing process. The event and action data are characterized by the working conditions corresponding to the movement of equipment assets in actual production, including equipment status update, material loading, in and out of the warehouse, displacement change, asset replacement, etc.

[0055] In more preferred examples, event data and action data of the hot rolling heating furnace are collected. Its event data is characterized by the corresponding process events of the hot rolling heating furnace during the movement process in actual production, including weighing events, loading position point events, loading arrival target point events, steel loading start events, steel loading end events, stepping start events, stepping end events, steel extraction start events, steel extraction end events, material discharging events, etc. Its action data is characterized by the motion trajectory of the hot rolling heating furnace during the movement process, including slab loading action, loading furnace door opening and closing action, steel beam pushing loading action, slab loading action, stepping beam stepping action, steel beam extraction action, slab discharging action, discharging furnace door opening and closing action, slab discharging action, flame burning intensity action, etc.

[0056] The event management and action management integration steps are as follows: adjust the scene 3D simulation model parameters based on the manufacturing business scenario requirements. Classify and uniformly manage the event data and action data, and integrate them into an event management library and an action management library.

[0057] Three-dimensional simulation model association binding steps: According to the specific business scenario requirements, the corresponding events and actions are bound to the three-dimensional simulation dynamic model in the scene.

[0058] According to the configured 3D simulation model, bind events and actions, configure data types and interface addresses to quickly form digital twin status monitoring or planned simulation applications.

[0059] After the 3D simulation model is built based on the on-site asset information, it is necessary to drive the movement of the 3D simulation model according to the on-site signals. Therefore, different data types are configured, including planned simulation data and on-site real-time data, so as to better simulate the performance of simulation optimization data and real-time data in the 3D scene.

[0060] In order to optimize the operating efficiency and performance of workshops, production lines, equipment, etc., it is necessary to conduct repeated experiments on the data obtained by the optimization algorithm to find the best operating method. For example, in the digital twin scene of the heating furnace, according to the data obtained by different optimization algorithms, by flexibly configuring the number of furnaces, furnace spacing, rollers and other data, the simulation configuration is used to run scenario tests to evaluate the feasibility of the optimization strategy in different situations.

[0061] In more preferred examples, the established 3D simulation model is imported to save the basic 3D model template required for the scene. A large amount of production line and equipment operation data is collected to drive related event data and action data, forming an event data and action data collection library, and binding it with the 3D simulation model.

[0062] According to the heating furnace scene requirements, the corresponding events and actions are bound to the three-dimensional simulation dynamic model in the scene.

[0063] Main screen UI library integration steps: According to the requirements of displaying planned simulation data and equipment operating status, a supporting UI library is formed based on the collected real-time operating data or planned data, and the main screen UI is set.

[0064] Specifically, common data visualization charts, UI styles, and UI interaction methods are integrated to form a main screen UI library. Based on the above-mentioned general workshop asset data and attribute data, user configuration interfaces for setting and adjusting asset data parameters and attribute data parameters in different industrial fields can be built.

[0065] The real-time operation data or plan data are actual operation data collected on-site and plan data prepared in advance, which are stored in a database and obtained through the database.

[0066] In more preferred examples, the common data visualization charts include a trend chart of the heating furnace temperature, a bar chart of the daily cumulative weight of the heated slabs, a pie chart of the online status of the heating equipment components, and the like.

[0067] According to the digital twin virtual interaction adaptation system proposed by the present invention, Figure 2 For example, it specifically includes: system management module, version management module, scene management module, device management module, rule management module, data management module, and UI management module.

[0068] The system includes basic three-dimensional simulation models of the industrial field, interactive functions, communication interfaces, rule definitions, UI design and other configuration interfaces to realize production and manufacturing scenarios. It can quickly build digital twin applications, reduce the workload of manual repetitive modeling and the development time of interactive functions, thereby reducing development costs.

[0069] In response to common requirements in the development of digital twin applications, each functional module of the system contains different sub-functions.

[0070] The system management module is a general management module for the development of industrial digital twin applications, including the configuration of the digital twin application name, simulation speed, voice control, automatic save, save time and save name. Its sub-functions include: Whether it is the default configuration: whether it is the default configuration. The default configuration is the general workshop asset data and attribute data based on the selected industrial field 3D simulation model; System name configuration: configure the name of the digital twin application; Simulation speed configuration: configure the maximum simulation speed. The default simulation speed minimum is 1, and the maximum simulation speed can be customized; Voice control configuration: whether to enable voice control. Enable voice control by pressing a button, and issue commands to control application closing, view switching, and 3D data panel display; Automatically save configuration: whether to automatically save the currently completed configuration content; Automatic save time configuration: configure the automatic save time interval in minutes; Save name configuration: save the name of the version based on the current configuration content.

[0071] The version management module is a module that operates configuration versions for different industrial fields and business scenarios, including the functions of querying, deleting and loading configuration versions. Its sub-functions include: Version query: Enter the name to query the historical configuration version; Version deletion: Check the configuration version to be deleted in the version name list and delete it; Version loading: Check the configuration version you want to load in the version name list to load it.

[0072] The scenario management module is a different scenario template constructed for all collected industrial workshop data, including different scenario templates constructed for all collected industrial workshop data, which can be loaded and configured for specific business scenarios in different industries. Its sub-functions include: Loading scenarios: Loading specified industrial scenarios and associated 3D simulation models as required, and developing and configuring digital twin applications based on them; Scene configuration: Customize parameter configuration based on the default parameters of the loaded scene, where the configuration parameters vary depending on the asset data and attribute data of the scene.

[0073] The device management module is used to configure and manage conventional equipment in the loaded industrial workshop scene. It mainly includes the equipment specification attribute configuration, the equipment internal structure attribute configuration and the equipment operation status configuration. Its sub-functions include: Configuration of device specifications and attributes: device length, device width, device height, etc.; The internal structure attribute configuration of the equipment: internal structure quantity, internal structure specification attributes; Whether the device is enabled or not, that is, the device operation status configuration: whether the device is operating normally or not.

[0074] The rule management module is used to configure and manage the operation rules of loaded industrial workshops, production lines, and equipment assets. Its sub-functions include: Production rule configuration: configure according to the planning rules in the actual production process; Process rule configuration: configure according to the process rules in the actual production process; Equipment rule configuration: Configure the operating rules of relevant equipment on the production line according to the actual production process.

[0075] The data management module includes the configuration of data types and their interfaces. Its sub-functions include: Data type configuration: Select real-time data or planned simulation data, and configure the required data items; Data interface configuration: configure the acquisition address of real-time data and planned simulation data, including communication protocols such as http(s), WebSocket, OPC, JDBC, etc.

[0076] The UI management module includes configuration of UI style, interaction mode, visualization charts, etc., and supports association and binding of data charts with specified data. Its sub-functions include: UI style configuration: including the configuration of the overall style of the digital twin application interface, the interactive interface style configuration, the data chart style configuration, etc.; Interaction mode configuration: Configure the interaction mode of the virtual scene, such as perspective switching, roaming mode, data presentation mode, etc.

[0077] Visual chart configuration: According to the application data presentation requirements, data charts such as bar charts, curve charts, pie charts, etc. can be associated with the specified data in the data management module and placed in the main screen.

[0078] In the process of developing digital twin applications for the industrial field, especially in the manufacturing industry, a method for quickly defining and generating virtual scenes in the industrial field is used, and the interaction between virtual simulation models and data is realized based on rules and communication protocol configurations. The rapid access of actual production process operation data and planned simulation data is completed, thereby realizing intelligent monitoring of the production and manufacturing area or planned simulation effects, so as to optimize the operation efficiency of production lines and equipment.

[0079] For the two business scenarios of real-time operation status monitoring and planned simulation, two data types for digital twin applications are provided, including real-time data and simulation optimization data. Different types of data can adapt to digital twin applications with different needs, facilitating the implementation of more targeted industrial digital twin applications. Developers configure virtual interactive function configurations such as the acquisition address of real-time data and production plan data, interactive functions, and UI performance effects according to the real-time data and production plan data requirements on site, so as to quickly realize the intelligent monitoring effect of production lines and equipment, or adjust different attribute parameters, and simulate the work efficiency and manufacturing process of production lines and equipment according to the latest three-dimensional simulation model obtained, so as to optimize the maximum work efficiency.

[0080] In more preferred examples, in order to realize the real-time tracking application development of heating furnace digital twin, Figure 3 For example, there are the following steps: Step S1: Select a hot rolling heating furnace scene from the scene management module for loading. The hot rolling heating furnace scene template includes a furnace bin, a loading furnace door, a discharging furnace door, a loading roller table, a discharging roller table, a push beam, a static beam, a walking beam, a draw beam, an underground structure, a flame nozzle, and a three-dimensional simulation model of a slab material.

[0081] Step S2: Parameter configuration of each module is performed based on the common basic data and asset data of the hot rolling heating furnace, wherein the default configuration in the system management module is checked as "No".

[0082] The scene management module configuration includes: heating furnace quantity configuration, heating furnace spacing configuration, loading roller length configuration, discharging roller length configuration, loading roller width configuration, discharging roller width configuration, loading roller running speed configuration, and discharging roller running speed configuration.

[0083] The equipment management module configuration includes: furnace width configuration, furnace length configuration, stepping beam quantity configuration, stepping beam width configuration, horizontal nozzle quantity configuration, vertical nozzle quantity configuration, whether to open the furnace for simulation, and heating furnace parameter synchronization.

[0084] The rule management module configuration includes: steel loading time configuration, stepping time configuration, steel extraction time configuration, and operation action mode configuration.

[0085] Data management module configuration includes: data type configuration and data interface configuration.

[0086] The UI management module configuration includes: UI style configuration, interaction mode configuration, and visual chart configuration.

[0087] Step S3: After the configuration of each module is completed, the configuration version is saved through the version management module and the heating furnace digital twin real-time tracking application is released.

[0088] According to a computer-readable storage medium storing a computer program provided by the present invention, when the computer program is executed by a processor, the steps of the digital twin virtual interaction adaptation method are implemented.

[0089] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0090] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A digital twin virtual interaction adaptation system, characterized in that: include: System management module, version management module, scene management module, device management module, rule management module, data management module, UI management module; Select scene loading in the scene management module; Configure system management module, scene management module, device management module, rule management module, data management module and UI management module parameters based on common basic data and asset data; The version management module operates on configuration versions for different industrial fields and business scenarios; The scenario management module builds different scenario templates for all collected data, and loads and configures them for specific business scenarios in different industries; The equipment management module performs configuration management for conventional equipment in loaded industrial workshop scenarios; The rule management module configures and manages the operation rules of loaded industrial workshops, production lines, and equipment assets; The data management module includes the configuration of data types and their interfaces; Save and publish configuration versions through the version management module.

2. The digital twin virtual interaction adaptation system according to claim 1 is characterized in that: The system management module is a general management module, which includes the default configuration, digital twin application name, simulation speed, whether voice control, automatic saving, saving time and configuration of saving time; The version management module includes querying, deleting and loading configuration versions; The device management module includes the device specification attribute configuration, internal structure attribute configuration and device operation status configuration; The rule management module includes configuration of production rules, process rules and equipment rules; The UI management module includes configuration of UI style, interaction mode and visualization chart, and supports association and binding of data chart with specified data.

3. The digital twin virtual interaction adaptation system according to claim 2 is characterized in that: The default configuration is general workshop asset data and attribute data according to the selected industrial field three-dimensional simulation model; The default minimum value of the simulation speed is 1, and the maximum value is the set configuration; Whether the voice control is turned on by pressing a button, issuing a command to control application closing, perspective switching and three-dimensional data panel display; For querying, deleting and loading the configuration version, enter or check the corresponding configuration version in the version name list; The scene management module loads the specified scene and the associated three-dimensional simulation model according to the requirements, and performs customized parameter configuration based on the default parameters of the loaded specified scene; The specification attribute configuration includes device length, device width and device height; The internal structure attribute configuration includes internal structure quantity and internal structure specification attributes; The device operation status configuration is a configuration for determining whether the device is operating normally; The rule management module is configured according to the rules in the actual production process.

4. The digital twin virtual interaction adaptation system according to claim 2, characterized in that: The configuration of the data type selects real-time data or planned simulation data, and configures the required data items; The interface configuration of the data management module is to configure the acquisition address of real-time data and planned simulation data, including http(s), WebSocket, OPC and JDBC communication protocols; The UI style configuration includes the configuration of the overall style of the digital twin application interface, the configuration of the interactive interface style, and the configuration of the data chart style; The interaction mode is configured to configure the perspective switching, roaming mode and data presentation mode of the virtual scene; The visualization chart is configured to associate a bar chart, a curve chart, and a pie chart with specified data in a data management module according to application data presentation requirements, and place them in a main screen.

5. The digital twin virtual interaction adaptation system according to claim 1, characterized in that: For the two business scenarios of real-time operation status monitoring and planned simulation, it provides two data types for digital twin applications: real-time data and simulation optimization data, to adapt to digital twin applications with different needs; Configure the acquisition address, interactive functions and UI performance of real-time data and production plan data according to the real-time data and production plan data requirements on site, or adjust different attribute parameters and optimize the data model according to the calculated simulation to simulate the work efficiency and manufacturing process of the production line and equipment.

6. A digital twin virtual interaction adaptation method, characterized in that: Adaptation is performed using the digital twin virtual interaction adaptation system according to any one of claims 1 to 5, comprising: Data collection steps: Collect asset data and attribute data of workshops, production lines and equipment, and process them to obtain general basic data and asset data; Three-dimensional simulation model construction steps: construct a three-dimensional simulation model of general workshop assets based on general basic data and asset data; Event data and action data collection steps: collect event data and action data in the production process; Steps for integrating event management and action management: adjust the parameters of the 3D simulation model of general workshop assets, and integrate event data and action data to form event management library and action management library; 3D simulation model association binding step: Bind the corresponding events and actions to the 3D simulation model of the general workshop assets; Main screen UI library integration steps: Integrate common data visualization charts, UI styles and UI interaction methods according to needs to form a main screen UI library.

7. The digital twin virtual interaction adaptation method according to claim 6 is characterized in that: In the data collection step, the workshop, production line and equipment asset data and attribute data are obtained through the three-view information of the corresponding workshop, production line and equipment model CAD design drawings, and the collected data are classified, deduplicated, unified in units and averaged. The general basic data and asset data are saved according to the calculation results, and different general workshop asset data and attribute data are obtained in different industrial fields; The event data and action data are the working conditions corresponding to the movement process of equipment assets in actual production, including equipment status update, material loading, in and out of the warehouse, displacement change and asset replacement; In the event management and action management integration step, the parameters of the scenario-general workshop asset three-dimensional simulation model are adjusted based on the manufacturing business scenario requirements, and the event data and action data are classified and managed in a unified manner.

8. The digital twin virtual interaction adaptation method according to claim 6, characterized in that: In the three-dimensional simulation model building step, based on the average basic attribute data of the physical assets in the manufacturing process, a three-dimensional simulation model of a general workshop asset of a general workshop, production line and equipment assets in a manufacturing scenario is built, and a parameter template is configured; Control the number and shape transformation of virtual scene 3D simulation models according to parameter data, and configure virtual scenes, equipment, data, interfaces and interactive functions; The average basic attribute data refers to a large amount of workshop, production line and equipment asset data and attribute data collected in the initial stage of the data collection step.

9. The digital twin virtual interaction adaptation method according to claim 6, characterized in that: The three-dimensional simulation model of the general workshop asset completed according to the imported configuration in the three-dimensional simulation model association and binding step is bound to event data and action data, and configured with data type and interface address according to specific business scenario requirements; In the main screen UI library integration step, common data visualization charts, UI styles and UI interaction methods are integrated according to needs based on the collected real-time operation data or plan data to form a main screen UI library and build a user configuration interface; The common data visualization charts include a trend chart of the heating furnace temperature, a bar chart of the daily cumulative weight of the heated slabs, and a pie chart of the online status of the heating equipment components.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the adaptation method for digital twin virtual interaction described in any one of claims 6 to 9 are implemented.

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