Digital twin simulation modeling method, device and system

Abstract

The invention relates to a digital twin simulation modeling method, device and system. The method comprises the following steps: acquiring model simulation demand information, determining a required equipment digital twin model from stored candidate digital twin models according to the model simulation demand information, determining data configuration of model input data of the equipment digital twin model, and outputting the model input data of the equipment digital twin model; and outputting a data acquisition instruction to a data acquisition instrument according to the data configuration, receiving acquired data fed back by the data acquisition instrument, and performing equipment configuration modeling according to the acquired data and the equipment digital twin model to obtain a target simulation model. By adopting the method, early-stage analogue simulation of product production or operation can be carried out based on the target simulation model, and the fault problem in the actual production and operation process is reduced, so that the production efficiency and the stability and reliability of the product are improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a digital twin simulation modeling method, apparatus, system, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] With the development of computer technology, digital twin technology has emerged. By creating digital mappings of physical entities in the digital world, digital twin technology can simulate, analyze and predict the behavior and performance of physical entities in a virtual environment. It mainly stems from the development and integration of technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence, and is widely used in equipment manufacturing and operation and maintenance, urban planning, and medical health.

[0003] However, current digital twin software and hardware products have a high degree of customization and poor versatility when building digital twin software and hardware systems for specific research objects. It is usually necessary to develop digital twin software and data acquisition devices based on specific products. Once the product model needs to be replaced or updated, the digital twin system software and hardware need to be customized and developed again. This cannot meet the needs of rapid construction and iterative upgrades of digital twin systems for different equipment. If existing product models or digital twin software and hardware systems are directly applied to different equipment products, the simulation effects will be uneven due to different product characteristics, and failure problems of different equipment products during production or operation cannot be discovered in time. Summary of the invention

[0004] Based on this, it is necessary to provide a digital twin simulation modeling method, device, system, computer equipment, computer-readable storage medium and computer program product that can meet the needs of rapid construction and iterative upgrading of digital twin systems for different equipment, and timely discover faults of different equipment products during production or operation.

[0005] In a first aspect, the present application provides a digital twin simulation modeling method, comprising:

[0006] Acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0007] Determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration;

[0008] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0009] In one embodiment, performing equipment configuration modeling according to the collected data and the equipment digital twin model to obtain a target simulation model includes:

[0010] Establishing communication connections between the digital twin models of the equipment based on the required input and output interfaces of the digital twin models of the equipment;

[0011] Through the established communication connection, equipment configuration modeling is performed according to the required input data and the required digital twin models of each of the equipment to obtain a target simulation model.

[0012] In one of the embodiments, the method further includes: visually displaying the simulation results corresponding to the target simulation model according to target display requirements.

[0013] In a second aspect, the present application provides a digital twin simulation modeling device, comprising:

[0014] A model simulation requirement information acquisition module is used to acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0015] A data configuration determination module, used to determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration;

[0016] The equipment configuration modeling module is used to receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0017] In a third aspect, the present application provides a digital twin simulation modeling system, comprising:

[0018] The digital twin configuration modeling and simulation component is used to: obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information; determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration;

[0019] A data acquisition instrument, used to receive and respond to a data acquisition instruction, acquire acquisition data corresponding to the data configuration of the model input data of the equipment digital twin model, and feed back the acquisition data to the digital twin configuration modeling and simulation component;

[0020] The digital twin configuration modeling and simulation component is also used to: receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0021] In an exemplary embodiment, the system further includes a hub for expanding the number of data acquisition channels based on the data acquisition instrument and establishing connections between a plurality of the data acquisition instruments to achieve collaborative work between the plurality of the data acquisition instruments.

[0022] In an exemplary embodiment, the working mode of the data acquisition instrument includes online operation. When the data acquisition instrument adopts online operation, multiple data acquisition instruments are connected to the hub through the second type of port, and the hub is connected to the host computer through the first type of port; the target circuit corresponding to the second type of port is used to realize two-way communication between the main control chip of the data acquisition instrument and the digital twin configuration modeling and simulation component.

[0023] In an exemplary embodiment, the hub is further used to provide a synchronous clock line for a plurality of the data acquisition instruments when the data acquisition instruments are operated online, and synchronize the data acquisition time of the plurality of the data acquisition instruments through the synchronous clock line.

[0024] In an exemplary embodiment, the working mode of the data acquisition instrument also includes stand-alone operation. When the data acquisition instrument adopts stand-alone operation, the data acquisition instrument is connected to the host computer through a first type port; the first type port is used to realize communication between the data acquisition instrument and the digital twin configuration modeling and simulation component.

[0025] In an exemplary embodiment, the system further includes an adapter for connecting the sensor to the data collector, so that the data collector can collect data of various data types through different sensors through adaptation.

[0026] In a fourth aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0027] Acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0028] Determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration;

[0029] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0030] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0031] Acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0032] Determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration;

[0033] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0034] In a sixth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0035] Acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0036] Determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration;

[0037] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0038] In the above-mentioned digital twin simulation modeling method, device, system, computer equipment, computer-readable storage medium and computer program product, by obtaining model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to quickly build the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Furthermore, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configurable data acquisition. By receiving the collected data fed back by the data acquisition instrument, equipment configuration modeling can be performed based on the collected data and the equipment digital twin model to obtain the target simulation model, thereby realizing the association between the data acquisition instrument and the actual equipment, forming a simulation closed loop, improving the authenticity of the simulation, and performing preliminary simulation of product production or operation based on the target simulation model, reducing failure problems in actual production and operation processes, and improving production efficiency and product stability and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0040] FIG1 is an application environment diagram of a digital twin simulation modeling method in one embodiment;

[0041] Figure 2 A schematic diagram of a process of a digital twin simulation modeling method in an embodiment;

[0042] Figure 3 A schematic diagram of data configuration of model input data for digital twin models of different equipment in one embodiment;

[0043] Figure 4 A schematic diagram showing a simulation result in one embodiment;

[0044] Figure 5 A schematic diagram of a flow chart of a digital twin simulation modeling method in another embodiment;

[0045] Figure 6 Schematic diagram of the architecture of a digital twin simulation modeling system in one embodiment;

[0046] Figure 7 A schematic diagram of the structure of a data acquisition device in one embodiment;

[0047] Figure 8 A schematic diagram of a component interface of a digital twin configuration modeling and simulation component in one embodiment;

[0048] Fig. 9 It is a schematic diagram of the architecture of a digital twin simulation modeling system in another embodiment;

[0049] Fig.10 A schematic diagram of a single-machine working mode of a data acquisition instrument in one embodiment;

[0050] Fig.11 A schematic diagram of an online working mode of a data acquisition instrument in one embodiment;

[0051] Fig.12 It is a structural block diagram of a digital twin simulation modeling device in one embodiment;

[0052] FIG. 13 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] The digital twin simulation modeling method provided in the embodiment of the present application can be applied in the application environment shown in Figure 1. Among them, the data acquisition instrument 102 communicates with the server 104 deployed by the digital twin configuration modeling simulation component through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the data acquisition instrument 102 can be, but is not limited to, various smart phones, tablet computers, Internet of Things devices, portable wearable devices, and aircraft, etc. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, and projection devices. Portable wearable devices can be smart watches, smart bracelets, and head-mounted devices. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 deployed by the digital twin configuration modeling and simulation component can be an independent physical server, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. Among them, the data acquisition instrument 102 and the server 104 deployed by the digital twin configuration modeling and simulation component can be directly or indirectly connected through wired or wireless communication, which is not limited in the embodiments of the present application.

[0055] Among them, the data acquisition instrument 102 and the server 104 deployed by the digital twin configuration modeling simulation component can be used separately to execute the digital twin simulation modeling method provided in the embodiment of the present application, and the data acquisition instrument 102 and the server 104 deployed by the digital twin configuration modeling simulation component can also cooperate to execute the digital twin simulation modeling method provided in the embodiment of the present application. For example, taking the data acquisition instrument 102 and the server 104 deployed by the digital twin configuration modeling simulation component to cooperate with the execution of the digital twin simulation modeling method provided in the embodiment of the present application as an example, the server 104 deployed by the digital twin configuration modeling simulation component obtains the model simulation requirement information, and according to the model simulation requirement information, determines the required equipment digital twin model from the stored candidate digital twin models, and determines the data configuration of the model input data of the equipment digital twin model, and outputs the data acquisition instruction to the data acquisition instrument 102 according to the data configuration, so as to receive the collected data fed back by the data acquisition instrument 102, and performs equipment configuration modeling according to the collected data and the equipment digital twin model to obtain the target simulation model.

[0056] In an exemplary embodiment, Figure 2As shown, a digital twin simulation modeling method is provided, which is described by taking the method applied to the server 104 in FIG. 1 as an example, and includes the following steps S202 to S206. Among them:

[0057] Step S202: Obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information.

[0058] Specifically, the digital twin configuration modeling and simulation component can be understood as digital twin configuration modeling and simulation software, which is deployed with a server. The server deployed by the digital twin configuration modeling and simulation component detects the model simulation request triggered by the user based on the digital twin configuration modeling and simulation component, and parses the detected model simulation request to obtain the model simulation information carried by the model simulation request.

[0059] Furthermore, the server determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library according to the model simulation requirement information. Among them, the model library is used to store candidate digital twin models of different types of equipment subsystems and core components. The stored candidate digital twin models include but are not limited to data analysis models, functional performance models, fault diagnosis models, fault prediction models, fault transmission models, fault simulation models, mechanical models, and thermal physics models. Among them, each candidate digital twin model is pre-defined with input and output variables and encapsulated into a preset format (such as FMU format, i.e., functional simulation unit, or python format) for the digital twin configuration modeling and simulation component to call.

[0060] Step S204, determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration.

[0061] Specifically, the server determines the required model input data of the digital twin model of the equipment, such as the data analysis model, functional performance model, fault diagnosis model, fault prediction model, fault transmission model, fault simulation model, mechanical model, and thermal physics model, etc., and further determines the data configuration of the corresponding model input data, such as stress, vibration, temperature, current, voltage, pressure and humidity.

[0062] Furthermore, the server generates a data acquisition instruction according to the data configuration of the model input data of each equipment digital twin model determined, and outputs the data acquisition instruction to the data acquisition instrument, so as to instruct the data acquisition instrument to perform data acquisition through the data acquisition instruction. Among them, the data acquisition instruction carries the data configuration of the data to be collected, such as collecting data corresponding to the data configuration of stress, vibration, temperature, current, voltage, pressure and humidity, and collecting stress data, vibration data, temperature data, current data, voltage data, pressure data, humidity data, etc.

[0063] In an exemplary embodiment, Figure 3 As shown, a schematic diagram of the data configuration of the model input data of the digital twin models of different equipment is provided. Among them, the data configuration can be selected according to the model input data required by the digital twin models of different equipment. The model input data required by the model specifically includes stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data, etc., and the corresponding data configuration specifically includes stress, vibration, temperature, current, voltage, pressure and humidity. Since different data configurations can be collected by different sensors, the same data configuration can also be collected by multiple different sensors. Reference Figure 3 It can be seen that the same data configuration, such as vibration, corresponds to vibration channel 1, vibration channel 2, and vibration channel 3, and stress corresponds to stress channel 1 and stress channel 2, indicating that multiple sensors can be set for the same data configuration to collect data separately. Different data configurations and channels corresponding to different data configurations can be selected according to actual needs, and the association relationship between the channels corresponding to multiple different data configurations can be established. According to the association relationship, the required model input data can be collected at the same time, such as collecting data through vibration channel 1, vibration channel 2 and stress channel 1 at the same time.

[0064] Step S206: receiving the collected data fed back by the data acquisition instrument, performing equipment configuration modeling according to the collected data and the equipment digital twin model, and obtaining a target simulation model.

[0065] Specifically, the server receives the collected data fed back by the data acquisition instrument based on the data acquisition instructions, and establishes a communication connection between the digital twin models of each equipment based on the required input and output interfaces of the digital twin models of each equipment, so as to perform equipment configuration modeling through the established communication connection and obtain the target simulation model according to the required input data and the required digital twin models of each equipment.

[0066] Exemplarily, the server deployed by the digital twin configuration modeling and simulation component determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library, and then drags the required equipment digital twin model into the digital twin configuration modeling and simulation component by "drag and drop", and uses the "building blocks" method to perform equipment configuration modeling for the multiple equipment digital twin models determined. Among them, the input and output interfaces of each equipment digital twin model are connected to other models for data transmission, and digital twin simulation models at the component level, system level, and equipment level can be built to obtain the actual required target simulation model.

[0067] In an exemplary embodiment, after obtaining the target simulation model, the method further includes:

[0068] According to the target display requirements, the simulation results corresponding to the target simulation model are visualized.

[0069] Specifically, the server deployed by the digital twin configuration modeling simulation component can visualize the simulation results corresponding to the target simulation model according to the target display requirements, such as numerical graphs, curve graphs, pie charts, bar charts, and fault alarm graphs. Among them, each display mode can be dragged and edited to realize the configuration display of simulation results according to the simulation requirements of different equipment digital twins.

[0070] Furthermore, if Figure 4 As shown, a simulation result display is provided. Figure 4 It can be seen that for the UAV simulation task, display functions such as data display, curve display and fault monitoring are set. Among them, in the data display function, multiple different data display components are set for the same UAV simulation task, and different data display components correspond to different model input interfaces and model output interfaces. For example, a data display component is set with model input interface 1, model input interface 2 and model output interface 1, while another data display component is set with model input interface 1 and model input interface 2, etc.

[0071] Among them, the fault monitoring function in the UAV simulation task is equipped with fault monitoring functions in different directions such as voltage fault, current fault, temperature fault and vibration fault. And the curve display function is equipped with a curve diagram of the simulation results of the UAV simulation task at different locations and times.

[0072] In the above digital twin simulation modeling method, by obtaining model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to quickly build the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Further, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configuration of data acquisition. By receiving the collected data fed back by the data acquisition instrument, the equipment configuration modeling can be carried out according to the collected data and the equipment digital twin model, and the target simulation model is obtained, so as to realize the association between the data acquisition instrument and the equipment entity, form a simulation closed loop, improve the authenticity of the simulation, and perform the early simulation of product production or operation based on the target simulation model, reduce the failure problems in the actual production and operation process, so as to improve the production efficiency and the stability and reliability of the product.

[0073] In an exemplary embodiment, Figure 5 As shown, a digital twin simulation modeling method is provided, which is described by taking the method applied to the server 104 in FIG. 1 as an example, and includes the following steps S501 to S506. Among them:

[0074] Step S501: Obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information.

[0075] Specifically, the server deployed by the digital twin configuration modeling and simulation component detects the model simulation request triggered by the user based on the digital twin configuration modeling and simulation component, and parses the detected model simulation request to obtain the model simulation information carried by the model simulation request, and determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library according to the model simulation requirement information. Among them, the model library is used to store candidate digital twin models of different types of equipment subsystems and core components. The stored candidate digital twin models include but are not limited to data analysis models, functional performance models, fault diagnosis models, fault prediction models, fault transmission models, fault simulation models, mechanical models, and thermal physics models.

[0076] Step S502, determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration.

[0077] Specifically, the server determines the required model input data of the digital twin model of the equipment, such as the data analysis model, functional performance model, fault diagnosis model, fault prediction model, fault transmission model, fault simulation model, mechanical model, and thermal physics model, such as stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data, and further determines the data configuration of the corresponding model input data, such as stress, vibration, temperature, current, voltage, pressure and humidity, and generates data acquisition instructions according to the data configuration of the model input data of the digital twin model of each equipment determined, and outputs the data acquisition instructions to the data acquisition instrument to instruct the data acquisition instrument to perform data acquisition through the data acquisition instructions.

[0078] Step S503, receiving the collected data fed back by the data collector.

[0079] Specifically, after the server outputs the data acquisition instruction to the data acquisition instrument, the data acquisition instrument receives and responds to the data acquisition instruction to carry the data configuration of the data to be collected according to the data acquisition instruction, such as collecting data corresponding to data configurations such as stress, vibration, temperature, current, voltage, pressure and humidity, collecting stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data, etc.

[0080] Step S504: establishing communication connections between the digital twin models of each piece of equipment based on the required input and output interfaces of the digital twin models of each piece of equipment.

[0081] Specifically, the server determines the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information, and then establishes a communication connection between the digital twin models of each equipment based on the required input and output interfaces of the digital twin models of each equipment. That is, the input and output interfaces of each equipment digital twin model transfer data with other models by means of wiring, so that digital twin simulation models at the component level, system level, and equipment level can be built to obtain the actual required target simulation model.

[0082] Step S505: Through the established communication connection, equipment configuration modeling is performed according to the required input data and the required digital twin models of each equipment to obtain a target simulation model.

[0083] Specifically, the server deployed by the digital twin configuration modeling and simulation component determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library, and then uses the "drag and drop" method to drag the required equipment digital twin model into the digital twin configuration modeling and simulation component, and uses the "building blocks" method to perform equipment configuration modeling for the multiple determined equipment digital twin models. That is, based on the required input and output interfaces of the digital twin models of each equipment, after establishing a communication connection between the digital twin models of each equipment, data transmission and equipment configuration modeling are performed through the established communication connection according to the collected data fed back by the data acquisition instrument and the required digital twin models of each equipment to obtain the target simulation model.

[0084] Step S506: Visually display the simulation results corresponding to the target simulation model according to the target display requirements.

[0085] Specifically, the server deployed by the digital twin configuration modeling simulation component can visualize the simulation results corresponding to the target simulation model according to the target display requirements, such as numerical graphs, curve graphs, pie charts, bar charts, and fault alarm graphs. Among them, each display mode can be dragged and edited to realize the configuration display of simulation results according to the simulation requirements of different equipment digital twins.

[0086] In the above digital twin simulation modeling method, by obtaining model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to quickly build the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Further, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configuration of data acquisition. By receiving the collected data fed back by the data acquisition instrument, the equipment configuration modeling can be carried out according to the collected data and the equipment digital twin model, and the target simulation model is obtained, so as to realize the association between the data acquisition instrument and the equipment entity, form a simulation closed loop, improve the authenticity of the simulation, and perform the early simulation of product production or operation based on the target simulation model, reduce the failure problems in the actual production and operation process, so as to improve the production efficiency and the stability and reliability of the product.

[0087] In an exemplary embodiment, Figure 6 As shown, a digital twin simulation modeling system is provided, referring to Figure 6It can be seen that the digital twin simulation modeling system specifically includes a digital twin configuration modeling simulation component 602 and a data acquisition instrument 604, wherein:

[0088] The digital twin configuration modeling and simulation component 602 is used to: obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information; determine the data configuration of the model input data of the equipment digital twin model, and output data acquisition instructions to the data acquisition instrument based on the data configuration.

[0089] Specifically, the digital twin configuration modeling and simulation component can be understood as a digital twin configuration modeling and simulation software, on which a server is deployed. The digital twin configuration modeling and simulation component detects the model simulation request triggered by the user through the server on which it is deployed, and parses the detected model simulation request to obtain the model simulation information carried by the model simulation request.

[0090] Furthermore, the digital twin configuration modeling and simulation component determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library through its deployment server according to the model simulation requirement information.

[0091] The model library is used to store candidate digital twin models of different types of equipment subsystems and core components. The stored candidate digital twin models include but are not limited to data analysis models, functional performance models, fault diagnosis models, fault prediction models, fault transmission models, fault simulation models, mechanical models, and thermal physics models, etc. Each candidate digital twin model is pre-defined with input and output variables and packaged into a preset format (such as FMU format, i.e., functional simulation unit, or python format) for the digital twin configuration modeling and simulation component to call.

[0092] The data collector 604 is used to receive and respond to data collection instructions, collect data corresponding to the data configuration of the model input data of the equipment digital twin model, and feed back the collected data to the digital twin configuration modeling and simulation component.

[0093] Among them, the data acquisition instruction carries the data configuration of the data to be collected, such as specifically collecting data corresponding to data configurations such as stress, vibration, temperature, current, voltage, pressure and humidity, collecting stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data, etc.

[0094] Specifically, after the data acquisition instrument receives the data acquisition instruction output by the digital twin configuration modeling and simulation component, it parses the data acquisition instruction to obtain the data configuration of the data to be collected carried by the data acquisition instruction, responds to the data acquisition instruction, collects the collected data corresponding to the data configuration of the model input data of the equipment digital twin model, and feeds back the collected data to the digital twin configuration modeling and simulation component.

[0095] In an exemplary embodiment, Figure 7 As shown, a data acquisition device is provided. Figure 7 It can be seen that the data acquisition instrument includes multiple acquisition channels, such as channel 1, namely A1, to channel 12, namely A12, and is also provided with an indicator light for judging whether the data channel is available. For example, when channel 1 is not available, a prompt is given.

[0096] In an exemplary embodiment, the digital twin configuration modeling and simulation component 602 is also used to: receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling based on the collected data and the equipment digital twin model, and obtain a target simulation model.

[0097] Specifically, the server receives the collected data fed back by the data acquisition instrument based on the data acquisition instructions, and establishes a communication connection between the digital twin models of each equipment based on the required input and output interfaces of the digital twin models of each equipment, so as to perform equipment configuration modeling through the established communication connection and obtain the target simulation model according to the required input data and the required digital twin models of each equipment.

[0098] Exemplarily, the server deployed by the digital twin configuration modeling and simulation component determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library, and then drags the required equipment digital twin model into the digital twin configuration modeling and simulation component by "drag and drop", and uses the "building blocks" method to perform equipment configuration modeling for the multiple equipment digital twin models determined. Among them, the input and output interfaces of each equipment digital twin model are connected to other models for data transmission, and digital twin simulation models at the component level, system level, and equipment level can be built to obtain the actual required target simulation model.

[0099] In an exemplary embodiment, Figure 8 As shown in the figure, a component interface diagram of a digital twin configuration modeling and simulation component is provided. Figure 8 It can be seen that in the component interface of the digital twin configuration modeling and simulation component, function buttons such as creation, editing and running of simulation tasks are set, as well as detailed information of the simulation tasks, including task name, task status, task creation time and task description.

[0100] Among them, the component interface of the digital twin configuration modeling and simulation component also includes basic components, including input and output components (including communication input components, file input components, data output components), constant input components (including integer constant components, floating-point constant components, and string constant components), and data display components.

[0101] For example, for simulation tasks, it can be a drone simulation task, including drone simulation tasks created at different time nodes, such as drone simulation task 1 and drone simulation task 2 created on June 23, and drone simulation task 3, drone simulation task 4 and drone simulation task 5 created on July 2.

[0102] In the above digital twin simulation modeling system, by obtaining the model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to quickly build the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Further, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configuration of data acquisition. By receiving the collected data fed back by the data acquisition instrument, the equipment configuration modeling can be carried out according to the collected data and the equipment digital twin model, and the target simulation model is obtained, so as to realize the association between the data acquisition instrument and the equipment entity, form a simulation closed loop, improve the authenticity of the simulation, and perform the early simulation of product production or operation based on the target simulation model, reduce the failure problems in the actual production and operation process, so as to improve the production efficiency and the stability and reliability of the product.

[0103] In an exemplary embodiment, Fig. 9 As shown, a digital twin simulation modeling system is provided, referring to Fig. 9 It can be seen that the digital twin simulation modeling system specifically includes a digital twin configuration modeling simulation component 902, a data acquisition instrument 904, a hub 906, and an adapter 908, wherein:

[0104] The digital twin configuration modeling and simulation component 902 is used to: obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information; determine the data configuration of the model input data of the equipment digital twin model, and output data acquisition instructions to the data acquisition instrument 904 based on the data configuration.

[0105] The data acquisition instrument 904 is used to receive and respond to data acquisition instructions, collect data corresponding to the data configuration of the model input data of the equipment digital twin model, and feed back the collected data to the digital twin configuration modeling and simulation component 902.

[0106] In an exemplary embodiment, the working mode of the data acquisition instrument 904 also includes stand-alone operation. When the data acquisition instrument adopts stand-alone operation, the data acquisition instrument is connected to the host computer through a first-class port. The first-class port is used to realize communication between the data acquisition instrument 904 and the digital twin configuration modeling and simulation component 902.

[0107] In an exemplary embodiment, Fig.10 As shown, a single-machine working mode of a data acquisition instrument is provided. Fig.10 It can be seen that the working modes of the data acquisition instrument include stand-alone operation. When the data acquisition instrument adopts stand-alone operation, the data acquisition instrument is connected to the host computer through the first type port. The first type port is used to realize the communication between the data acquisition instrument and the digital twin configuration modeling and simulation components.

[0108] The first type of port may specifically be a USB port, that is, when the data acquisition instrument is used in a stand-alone operation, the data acquisition instrument is connected to the host computer through the USB port, and the communication between the data acquisition instrument and the digital twin configuration modeling and simulation component is realized through the USB port, that is, the USB connection. The data acquisition instrument is also connected to the power supply through the power cord to power the data acquisition work of the data acquisition instrument through the power supply.

[0109] The hub 906 is used to expand the number of data acquisition channels based on the data acquisition instrument 904 and establish connections between multiple data acquisition instruments 904 to achieve collaborative work between the multiple data acquisition instruments 904 .

[0110] Among them, the working mode of the data acquisition instrument 904 includes online work. When the data acquisition instrument 904 adopts online work, multiple data acquisition instruments 904 are connected to the hub 906 through the second-class port, and the hub 906 is connected to the host computer through the first-class port. The target circuit corresponding to the second-class port is used to realize two-way communication between the main control chip of the data acquisition instrument 904 and the digital twin configuration modeling and simulation component 902.

[0111] Furthermore, the hub 906 is also used to provide a synchronous clock line for multiple data collectors 904 when the data collectors 904 work online, and synchronize the data collection time of the multiple data collectors through the synchronous clock line.

[0112] In an exemplary embodiment, Fig.11 As shown, a schematic diagram of the online working mode of a data acquisition instrument is provided, referring to Fig.11It can be seen that the working mode of the data acquisition instrument includes online work. When the data acquisition instrument adopts online work, multiple data acquisition instruments are connected to the hub through the second type of port, and the hub is connected to the host computer through the first type of port. Among them, the target circuit corresponding to the second type of port is used to realize the two-way communication between the main control chip of the data acquisition instrument and the digital twin configuration modeling and simulation component.

[0113] Among them, the first type of port can be specifically a USB port, and the second type of port can be specifically an RS422 port, that is, when the data acquisition instrument adopts online work, multiple data acquisition instruments are connected to the hub through the RS422 port, and the hub is connected to the host computer through the USB port, thereby realizing an indirect connection between the data acquisition instrument and the host computer physically and a direct connection between the data acquisition instrument and the host computer logically.

[0114] Furthermore, the RS422 circuit (i.e., the target circuit) corresponding to the RS422 port is used to realize two-way communication between the main control chip of the data acquisition instrument and the digital twin configuration modeling and simulation component. The parameters of the data acquisition instrument can be set through the digital twin configuration modeling and simulation component to display the curve of the collected data in real time on the host computer, or the data acquisition instrument can be separated from the digital twin configuration modeling and simulation component to complete the data collection work offline.

[0115] Each data acquisition instrument is connected to a power source via a power line so as to provide power for data acquisition work of the data acquisition instrument.

[0116] The digital twin configuration modeling and simulation component 902 is also used to: receive the collected data fed back by the data acquisition instrument 904, perform equipment configuration modeling based on the collected data and the equipment digital twin model, and obtain a target simulation model.

[0117] Specifically, the server receives the collected data fed back by the data acquisition instrument based on the data acquisition instructions, and establishes a communication connection between the digital twin models of each equipment based on the required input and output interfaces of the digital twin models of each equipment, so as to perform equipment configuration modeling through the established communication connection and obtain the target simulation model according to the required input data and the required digital twin models of each equipment.

[0118] Exemplarily, the server deployed by the digital twin configuration modeling and simulation component determines the required equipment digital twin model from multiple candidate digital twin models stored in the model library, and then drags the required equipment digital twin model into the digital twin configuration modeling and simulation component by "drag and drop", and uses the "building blocks" method to perform equipment configuration modeling for the multiple equipment digital twin models determined. Among them, the input and output interfaces of each equipment digital twin model are connected to other models for data transmission, and digital twin simulation models at the component level, system level, and equipment level can be built to obtain the actual required target simulation model.

[0119] The adapter 908 is used to connect the sensor to the data collector 904, and through adaptation, the data collector 904 collects data of various data types through different sensors.

[0120] Specifically, through the adapter 908, sensors for collecting different types of data, such as sensors for collecting different types of data such as stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data, are connected to the data acquisition instrument 904. Through adaptation, the data acquisition instrument 904 collects data of various types through different sensors, such as stress data, vibration data, temperature data, current data, voltage data, pressure data, and humidity data.

[0121] In the above digital twin simulation modeling system, by obtaining the model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to quickly build the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Further, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configuration of data acquisition. By receiving the collected data fed back by the data acquisition instrument, the equipment configuration modeling can be carried out according to the collected data and the equipment digital twin model, and the target simulation model is obtained, so as to realize the association between the data acquisition instrument and the equipment entity, form a simulation closed loop, improve the authenticity of the simulation, and perform the early simulation of product production or operation based on the target simulation model, reduce the failure problems in the actual production and operation process, so as to improve the production efficiency and the stability and reliability of the product.

[0122] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0123] Based on the same inventive concept, the embodiment of the present application also provides a digital twin simulation modeling device for implementing the digital twin simulation modeling method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more digital twin simulation modeling device embodiments provided below can refer to the limitations of the digital twin simulation modeling method above, and will not be repeated here.

[0124] In an exemplary embodiment, Fig.12 As shown, a digital twin simulation modeling device is provided, including: a model simulation requirement information acquisition module 1202, a data configuration determination module 1204 and an equipment configuration modeling module 1206, wherein:

[0125] The model simulation requirement information acquisition module 1202 is used to acquire the model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information;

[0126] The data configuration determination module 1204 is used to determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration;

[0127] The equipment configuration modeling module 1206 is used to receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

[0128] In the above-mentioned digital twin simulation modeling device, by obtaining the model simulation requirement information, the required equipment digital twin model is determined from the stored candidate digital twin models according to the model simulation requirement information, so that targeted model construction can be carried out for different equipment, so as to achieve the rapid construction of the target simulation model for different products or different subsystems of the same product, thereby improving the authenticity of the simulation. Further, by determining the data configuration of the model input data of the equipment digital twin model, outputting the data acquisition instruction to the data acquisition instrument according to the data configuration, and instructing the data acquisition instrument to perform data acquisition through the data acquisition instruction, the data acquisition of the actual equipment is realized according to the data required for the operation of the digital twin model of different equipment, so as to achieve the purpose of configuration of data acquisition. By receiving the collected data fed back by the data acquisition instrument, the equipment configuration modeling can be carried out according to the collected data and the equipment digital twin model, and the target simulation model is obtained, so as to realize the association between the data acquisition instrument and the equipment entity, form a simulation closed loop, improve the authenticity of the simulation, and perform the early simulation of product production or operation based on the target simulation model, reduce the failure problems in the actual production and operation process, so as to improve the production efficiency and the stability and reliability of the product.

[0129] In an exemplary embodiment, the equipment configuration modeling module is also used to: establish a communication connection between the digital twin models of each equipment based on the required input and output interfaces of the digital twin models of each equipment; perform equipment configuration modeling through the established communication connection according to the required input data and the required digital twin models of each equipment to obtain a target simulation model.

[0130] In an exemplary embodiment, a digital twin simulation modeling device is provided, which also includes a display module for visually displaying simulation results corresponding to a target simulation model according to target display requirements.

[0131] Each module in the above-mentioned digital twin simulation modeling device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0132] In an exemplary embodiment, a computer device is provided, which may be a terminal or a server. The computer device is described as a server, and its internal structure diagram may be shown in FIG13. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store model simulation requirement information, candidate digital twin models, required equipment digital twin models, data configuration of model input data, data acquisition instructions, acquisition data, and target simulation model data. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by a processor, a digital twin simulation modeling method is implemented.

[0133] Those skilled in the art will understand that the structure shown in FIG. 13 is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0134] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0135] Obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information;

[0136] Determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration;

[0137] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling based on the collected data and the equipment digital twin model, and obtain the target simulation model.

[0138] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0139] Establish communication connections between digital twin models of various equipment based on the required input and output interfaces of digital twin models of various equipment;

[0140] Through the established communication connection, equipment configuration modeling is carried out according to the required input data and the required digital twin models of each equipment to obtain the target simulation model.

[0141] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0142] According to the target display requirements, the simulation results corresponding to the target simulation model are visualized.

[0143] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0144] Obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information;

[0145] Determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration;

[0146] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling based on the collected data and the equipment digital twin model, and obtain the target simulation model.

[0147] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0148] Establish communication connections between digital twin models of various equipment based on the required input and output interfaces of digital twin models of various equipment;

[0149] Through the established communication connection, equipment configuration modeling is carried out according to the required input data and the required digital twin models of each equipment to obtain the target simulation model.

[0150] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0151] According to the target display requirements, the simulation results corresponding to the target simulation model are visualized.

[0152] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0153] Obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models based on the model simulation requirement information;

[0154] Determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration;

[0155] Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling based on the collected data and the equipment digital twin model, and obtain the target simulation model.

[0156] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0157] Establish communication connections between digital twin models of various equipment based on the required input and output interfaces of digital twin models of various equipment;

[0158] Through the established communication connection, equipment configuration modeling is carried out according to the required input data and the required digital twin models of each equipment to obtain the target simulation model.

[0159] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0160] According to the target display requirements, the simulation results corresponding to the target simulation model are visualized.

[0161] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0162] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0163] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0164] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A digital twin simulation modeling method, characterized in that: The method comprises: Acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information; Determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration; Receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

2. The method according to claim 1, characterized in that The performing equipment configuration modeling according to the collected data and the equipment digital twin model to obtain a target simulation model includes: Establishing communication connections between the digital twin models of the equipment based on the required input and output interfaces of the digital twin models of the equipment; Through the established communication connection, equipment configuration modeling is performed according to the required input data and the required digital twin models of each of the equipment to obtain a target simulation model.

3. The method according to claim 1 or 2, characterized in that: The method further includes: visually displaying the simulation results corresponding to the target simulation model according to target display requirements.

4. A digital twin simulation modeling device, characterized in that: The device comprises: A model simulation requirement information acquisition module is used to acquire model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information; A data configuration determination module, used to determine the data configuration of the model input data of the equipment digital twin model, and output a data acquisition instruction to a data acquisition instrument according to the data configuration; The equipment configuration modeling module is used to receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

5. A digital twin simulation modeling system, characterized in that: The system comprises: The digital twin configuration modeling and simulation component is used to: obtain model simulation requirement information, and determine the required equipment digital twin model from the stored candidate digital twin models according to the model simulation requirement information; determine the data configuration of the model input data of the equipment digital twin model, and output the data acquisition instruction to the data acquisition instrument according to the data configuration; A data acquisition instrument, used to receive and respond to a data acquisition instruction, acquire acquisition data corresponding to the data configuration of the model input data of the equipment digital twin model, and feed back the acquisition data to the digital twin configuration modeling and simulation component; The digital twin configuration modeling and simulation component is also used to: receive the collected data fed back by the data acquisition instrument, perform equipment configuration modeling according to the collected data and the equipment digital twin model, and obtain a target simulation model.

6. The system according to claim 5, characterized in that The system also includes a hub, which is used to expand the number of data acquisition channels based on the data acquisition instrument and establish connections between multiple data acquisition instruments to achieve collaborative work between the multiple data acquisition instruments.

7. The system according to claim 6, characterized in that The working mode of the data acquisition instrument includes online work. When the data acquisition instrument adopts online work, multiple data acquisition instruments are connected to the hub through the second type of port, and the hub is connected to the host computer through the first type of port; the target circuit corresponding to the second type of port is used to realize two-way communication between the main control chip of the data acquisition instrument and the digital twin configuration modeling and simulation component.

8. The system according to claim 7, characterized in that The hub is also used to provide a synchronous clock line for multiple data acquisition instruments when the data acquisition instruments are working online, and synchronize the data acquisition time of the multiple data acquisition instruments through the synchronous clock line.

9. The system according to any one of claims 5 to 8, characterized in that: The working mode of the data acquisition instrument also includes stand-alone operation. When the data acquisition instrument works as a single machine, the data acquisition instrument is connected to a host computer through a first-class port; the first-class port is used to realize communication between the data acquisition instrument and the digital twin configuration modeling and simulation component.

10. The system according to any one of claims 5 to 8, characterized in that: The system also includes an adapter for connecting the sensor to the data collector, so that the data collector can collect data of various data types through different sensors through adaptation.

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