Simulation monitoring method and device for vehicle intelligent cabin production line

Abstract

The invention provides a simulation monitoring method and device for a vehicle intelligent cabin production line, and the method comprises the steps: building a multi-level model based on a plurality of level nodes corresponding to a target vehicle intelligent cabin production line; performing logic reconstruction on operation and control activities set by the target vehicle intelligent cabin production line to obtain a multi-level logic model; a mapping transmission channel is correspondingly established between the virtual sensor and the monitoring point, and a simulation monitoring model is obtained, so that real-time data collected by the target vehicle intelligent cabin production line are synchronously associated in the multi-level logic model; and performing visual rendering on the simulation monitoring model, setting a functional unit in the simulation monitoring model, obtaining a simulation monitoring system, and performing monitoring management on the target vehicle intelligent cabin production line. By means of the method, the accuracy and the real-time performance of monitoring the vehicle intelligent cabin production line are improved, and then the efficiency and the stability of producing the vehicle cabin are improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle cockpit production control technology, and in particular to a simulation monitoring method and device for a vehicle intelligent cockpit production line. Background Art

[0002] At present, the vehicle intelligent cockpit production line mainly uses physical sensors and their corresponding monitoring systems to collect data such as equipment status and production parameters on the production line in real time, and transmits the data to the central control system for processing and analysis. However, the installation and maintenance costs of physical sensors are high. Especially in complex production line environments, the data collection range and accuracy of physical sensors are limited by hardware conditions, which reduces the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line.

[0003] In addition, the data synchronization methods of traditional vehicle intelligent cockpit production lines usually rely on fixed time intervals or event triggering mechanisms, which makes it difficult to achieve accurate synchronization of multi-source data, resulting in insufficient data correlation and reducing the efficiency and stability of vehicle cockpit production. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a simulation monitoring method and device for a vehicle intelligent cockpit production line. Based on multiple hierarchical nodes corresponding to the vehicle intelligent cockpit production line, a multi-level model is constructed, and a multi-level logical model is obtained through logical reconstruction. A mapping transmission channel is established between virtual sensors and multiple monitoring points set up in the vehicle intelligent cockpit production line, so that the collected real-time data is synchronously associated in the multi-level logical model, and the model is visualized and functionally set to obtain a simulation monitoring system for monitoring and managing the target vehicle intelligent cockpit production line, realizing unified collection, real-time mapping and hierarchical monitoring of multi-source production data, improving the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line, and thereby improving the efficiency and stability of vehicle cockpit production.

[0005] The present invention provides a simulation monitoring method for a vehicle intelligent cockpit production line, the simulation monitoring method comprising:

[0006] For a target vehicle intelligent cockpit production line that is desired to be simulated and monitored, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line;

[0007] In the multi-level model, the operation and control activities set up in the target vehicle intelligent cockpit production line are logically reconstructed to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line;

[0008] A mapping transmission channel is established between the virtual sensors preset in the multi-level logical model and the multiple monitoring points set up in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so that the real-time data collected by the target vehicle intelligent cockpit production line is synchronously associated in the multi-level logical model;

[0009] The simulation monitoring model is visualized and rendered using a preset graphics engine tool, and a functional unit is set in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and the target vehicle intelligent cockpit production line is monitored and managed using the simulation monitoring system.

[0010] Furthermore, the hierarchical nodes include at least a control point layer, a device layer, a production line layer, and a workshop layer;

[0011] The step of constructing a multi-level model corresponding to the target vehicle intelligent cockpit production line based on multiple level nodes corresponding to the target vehicle intelligent cockpit production line includes:

[0012] For multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, determining a dynamic model, a control logic model, and a model output form corresponding to each hierarchical node;

[0013] Performing hierarchical coupling on each of the hierarchical nodes to determine the corresponding input boundary conditions and instruction transmission routes between each of the hierarchical nodes;

[0014] Based on the dynamic model, the control logic model and the model output form corresponding to each hierarchical node and the input boundary conditions and the instruction transmission route corresponding to each hierarchical node, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed.

[0015] Furthermore, in the multi-level model, the operation and control activities set up for the target vehicle intelligent cockpit production line are logically reconstructed to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line, including:

[0016] Abstractly express the operation and control activities set up in the target vehicle intelligent cockpit production line, and determine the simulation monitoring process corresponding to the operation and control activities;

[0017] Performing virtual twin verification on the simulation monitoring process in the multi-level model to reconstruct the monitoring logic corresponding to the simulation monitoring process in the digital twin environment corresponding to the multi-level model;

[0018] A dynamic configuration loading unit is set for the multi-level model that has undergone the virtual twin verification to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

[0019] Furthermore, mapping transmission channels are established between the virtual sensors preset in the multi-level logic model and a plurality of monitoring points set up in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, including:

[0020] Determine the data integration middle layer platform corresponding to the multiple monitoring points set up in the target vehicle intelligent cockpit production line;

[0021] Based on the preset OPC communication protocol, a data preprocessing unit, a data synchronization transmission unit, a data analysis unit and a data format conversion unit are set between the virtual sensor preset in the multi-level logical model and the data integration middle layer platform by means of computing edge nodes;

[0022] Determine the corresponding data relationship between the virtual sensor and the monitoring point using a preset analysis tool, and determine the corresponding data mapping relationship between the virtual sensor and the monitoring point based on the data relationship;

[0023] Based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, a corresponding mapping transmission channel is established between the virtual sensor and the monitoring point to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

[0024] Furthermore, the simulation monitoring model is visualized and rendered using a preset graphics engine tool, and functional units are set in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, including:

[0025] Using a preset graphics engine tool, the simulation monitoring model is loaded into a preset virtual scene, and the simulation monitoring model is rendered in the virtual scene;

[0026] In the virtual scene, mapping multiple monitoring points set on the target vehicle intelligent cockpit production line to the simulation monitoring model, and visualizing the simulation monitoring model;

[0027] Functional units corresponding to the target vehicle intelligent cockpit production line are set in the simulation monitoring model after visualization processing to obtain the simulation monitoring system.

[0028] Furthermore, the use of the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line includes:

[0029] In response to acquiring real-time monitoring data collected by a plurality of monitoring points set up in the target vehicle intelligent cockpit production line, transmitting the real-time monitoring data to the simulation monitoring system;

[0030] Utilizing the simulation monitoring system to perform format conversion, preprocessing, and synchronous mapping on the received real-time monitoring data, to obtain simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system;

[0031] The simulation monitoring system is used to perform data analysis on the simulation monitoring data, and the target vehicle intelligent cockpit production line is monitored and managed based on the analysis results.

[0032] Furthermore, the use of the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line also includes:

[0033] In response to receiving an interactive operation instruction signal for the target vehicle intelligent cockpit production line, an operation behavior corresponding to the interactive operation instruction signal is determined, and the simulation monitoring system is controlled to execute the operation behavior.

[0034] The embodiment of the present application further provides a simulation monitoring device for a vehicle intelligent cockpit production line, the simulation monitoring device comprising:

[0035] A model building module is used to build a multi-level model corresponding to a target vehicle intelligent cockpit production line for which simulation monitoring is desired, based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line;

[0036] a logic reconstruction module, configured to logically reconstruct the operation and control activities set for the target vehicle intelligent cockpit production line in the multi-level model to obtain a multi-level logic model corresponding to the target vehicle intelligent cockpit production line;

[0037] a data association module for establishing corresponding mapping transmission channels between virtual sensors preset in the multi-level logical model and multiple monitoring points set up in the target vehicle intelligent cockpit production line, thereby obtaining a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so as to synchronously associate real-time data collected by the target vehicle intelligent cockpit production line in the multi-level logical model;

[0038] The monitoring and management module is used to use a preset graphics engine tool to visually render the simulation monitoring model, set functional units in the simulation monitoring model, obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and use the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line.

[0039] Furthermore, the hierarchical nodes include at least a control point layer, a device layer, a production line layer, and a workshop layer;

[0040] When the model construction module is used to construct a multi-level model corresponding to the target vehicle intelligent cockpit production line based on multiple level nodes corresponding to the target vehicle intelligent cockpit production line, the model construction module is used to:

[0041] For multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, determining a dynamic model, a control logic model, and a model output form corresponding to each hierarchical node;

[0042] Performing hierarchical coupling on each of the hierarchical nodes to determine the corresponding input boundary conditions and instruction transmission routes between each of the hierarchical nodes;

[0043] Based on the dynamic model, the control logic model and the model output form corresponding to each hierarchical node and the input boundary conditions and the instruction transmission route corresponding to each hierarchical node, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed.

[0044] Furthermore, when the logic reconstruction module is used to logically reconstruct the operation and control activities set up for the target vehicle intelligent cockpit production line in the multi-level model to obtain the multi-level logic model corresponding to the target vehicle intelligent cockpit production line, the logic reconstruction module is used to:

[0045] Abstractly express the operation and control activities set up in the target vehicle intelligent cockpit production line and determine the simulation monitoring process corresponding to the operation and control activities;

[0046] Performing virtual twin verification on the simulation monitoring process in the multi-level model to reconstruct the monitoring logic corresponding to the simulation monitoring process in the digital twin environment corresponding to the multi-level model;

[0047] A dynamic configuration loading unit is set for the multi-level model that has undergone the virtual twin verification to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

[0048] Furthermore, when the data association module establishes a mapping transmission channel between the virtual sensors preset in the multi-level logical model and the multiple monitoring points set in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, the data association module is used to:

[0049] Determine the data integration middle layer platform corresponding to the multiple monitoring points set up in the target vehicle intelligent cockpit production line;

[0050] Based on the preset OPC communication protocol, a data preprocessing unit, a data synchronization transmission unit, a data analysis unit and a data format conversion unit are set between the virtual sensor preset in the multi-level logical model and the data integration middle layer platform by means of computing edge nodes;

[0051] Determine the corresponding data relationship between the virtual sensor and the monitoring point using a preset analysis tool, and determine the corresponding data mapping relationship between the virtual sensor and the monitoring point based on the data relationship;

[0052] Based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, a corresponding mapping transmission channel is established between the virtual sensor and the monitoring point to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

[0053] Furthermore, when the monitoring management module is used to use a preset graphics engine tool to perform visual rendering on the simulation monitoring model and set functional units in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, the monitoring management module is used to:

[0054] Using a preset graphics engine tool, the simulation monitoring model is loaded into a preset virtual scene, and the simulation monitoring model is rendered in the virtual scene;

[0055] In the virtual scene, mapping multiple monitoring points set on the target vehicle intelligent cockpit production line to the simulation monitoring model, and visualizing the simulation monitoring model;

[0056] Functional units corresponding to the target vehicle intelligent cockpit production line are set in the simulation monitoring model after visualization processing to obtain the simulation monitoring system.

[0057] Furthermore, when the monitoring and management module is used to monitor and manage the target vehicle intelligent cockpit production line using the simulation monitoring system, the monitoring and management module is used to:

[0058] In response to acquiring real-time monitoring data collected by a plurality of monitoring points set up in the target vehicle intelligent cockpit production line, transmitting the real-time monitoring data to the simulation monitoring system;

[0059] Utilizing the simulation monitoring system to perform format conversion, preprocessing, and synchronous mapping on the received real-time monitoring data, to obtain simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system;

[0060] The simulation monitoring system is used to perform data analysis on the simulation monitoring data, and the target vehicle intelligent cockpit production line is monitored and managed based on the analysis results.

[0061] Furthermore, when the monitoring and management module is used to monitor and manage the target vehicle intelligent cockpit production line using the simulation monitoring system, the monitoring and management module is also used to:

[0062] In response to receiving an interactive operation instruction signal for the target vehicle intelligent cockpit production line, an operation behavior corresponding to the interactive operation instruction signal is determined, and the simulation monitoring system is controlled to execute the operation behavior.

[0063] An embodiment of the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the simulation monitoring method of the vehicle intelligent cockpit production line as described above are performed.

[0064] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the simulation monitoring method for the vehicle intelligent cockpit production line as described above are executed.

[0065] The embodiments of the present application provide a simulation monitoring method and device for a vehicle intelligent cockpit production line. The simulation monitoring method includes: for a target vehicle intelligent cockpit production line that is desired to be simulated and monitored, based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, constructing a multi-level model corresponding to the target vehicle intelligent cockpit production line; in the multi-level model, logically reconstructing the operation and control activities set for the target vehicle intelligent cockpit production line to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line; establishing corresponding mapping transmission channels between virtual sensors preset in the multi-level logical model and multiple monitoring points set for the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so that real-time data collected by the target vehicle intelligent cockpit production line can be synchronously associated in the multi-level logical model; using a preset graphics engine tool to visualize the simulation monitoring model, and setting functional units in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and using the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line.

[0066] Compared with the existing methods of using physical sensors and their corresponding monitoring systems to collect data such as equipment status and production parameters on the production line in real time, and transmitting the data to the central control system for processing and analysis, as well as relying on fixed time intervals or event triggering mechanisms, a multi-level model is constructed based on multiple hierarchical nodes corresponding to the vehicle intelligent cockpit production line, and a multi-level logical model is obtained through logical reconstruction. A mapping transmission channel is established between the virtual sensors and the multiple monitoring points set up in the vehicle intelligent cockpit production line, so that the collected real-time data is synchronously associated in the multi-level logical model, and the model is visualized and functionally set to obtain a simulation monitoring system for monitoring and managing the target vehicle intelligent cockpit production line, realizing unified collection, real-time mapping and hierarchical monitoring of multi-source production data, improving the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line, and thereby improving the efficiency and stability of vehicle cockpit production.

[0067] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0069] Figure 1 A flowchart of a simulation monitoring method for a vehicle intelligent cockpit production line provided in an embodiment of the present application;

[0070] Figure 2 A schematic structural diagram of a simulation monitoring device for a vehicle intelligent cockpit production line provided in an embodiment of the present application;

[0071] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work falls within the scope of protection of the present application.

[0073] Research has found that at present, the vehicle intelligent cockpit production line mainly uses physical sensors and their corresponding monitoring systems to collect data such as equipment status and production parameters on the production line in real time, and transmits the data to the central control system for processing and analysis. However, the installation and maintenance costs of physical sensors are high. Especially in complex production line environments, the data collection range and accuracy of physical sensors are limited by hardware conditions, which reduces the accuracy and real-time monitoring of the vehicle intelligent cockpit production line.

[0074] Among them, due to the high dependence of existing production lines on physical sensors, hardware costs and maintenance expenses remain high. The installation, wiring and debugging processes of physical sensors are complex and time-consuming, especially when the production line environment is complex or there are many devices, which increases the difficulty and cost of system deployment. The data collection range and accuracy of physical sensors are limited by hardware conditions and cannot meet the requirements of high precision and high real-time performance. Especially in scenarios requiring fast response and refined control, the performance of physical sensors may become a bottleneck.

[0075] In addition, the data synchronization methods of traditional vehicle intelligent cockpit production lines usually rely on fixed time intervals or event triggering mechanisms, which makes it difficult to achieve accurate synchronization of multi-source data, resulting in insufficient data correlation and reducing the efficiency and stability of vehicle cockpit production.

[0076] Based on this, an embodiment of the present application provides a simulation monitoring method for a vehicle intelligent cockpit production line. Based on multiple hierarchical nodes corresponding to the vehicle intelligent cockpit production line, a multi-level model is constructed, and a multi-level logical model is obtained through logical reconstruction. A mapping transmission channel is established between the virtual sensor and multiple monitoring points set up in the vehicle intelligent cockpit production line, so that the collected real-time data is synchronously associated in the multi-level logical model, and the model is visualized and functionally set to obtain a simulation monitoring system for monitoring and managing the target vehicle intelligent cockpit production line, realizing unified collection, real-time mapping and hierarchical monitoring of multi-source production data, improving the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line, and thereby improving the efficiency and stability of vehicle cockpit production.

[0077] See also Figure 1 , Figure 1 This is a flow chart of a simulation monitoring method for a vehicle intelligent cockpit production line provided by an embodiment of the present application. Figure 1 As shown in , the simulation monitoring method of the vehicle intelligent cockpit production line provided by the embodiment of the present application includes:

[0078] S101. For a target vehicle intelligent cockpit production line that is desired to be simulated and monitored, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line.

[0079] It should be noted that the target vehicle intelligent cockpit production line described in the embodiment of the present application is a vehicle intelligent cockpit production line that needs to be monitored and managed as indicated by the user.

[0080] In an embodiment of the present application, the hierarchical nodes include at least a control point layer, an equipment layer, a production line layer, and a workshop layer.

[0081] Here, the target vehicle intelligent cockpit production line is abstracted layer by layer from micro to macro. The control object of the production line is expanded from a single execution unit to the overall production system. According to the physical and logical control boundary division, the higher the level, the larger the covered physical space and logical coordination range. The lower layer (equipment layer) requires millisecond-level response, and the upper layer (workshop layer) can accept second-level or minute-level scheduling. The lower layer processes the raw data of the equipment (sensor signals), and the upper layer processes production indicators.

[0082] The Control Point layer is the smallest control unit that directly acts on the terminal execution or detection node of the physical device. The Equipment layer is a complete device composed of multiple control points with independent functions. It is responsible for coordinating multiple control points within the device to achieve process-level closed-loop control. The Line layer is a continuous production unit composed of multiple devices. It completes specific process sections, optimizes the rhythm between devices, and is used to handle material flow and exception interception. The Shop Floor layer is a complete production system composed of multiple production lines, including a logistics and scheduling hub for global resource allocation to achieve full-process collaboration from order to delivery.

[0083] In one embodiment of the present application, during specific implementation, step S101 may include:

[0084] S1011. For multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, determine the dynamic model, control logic model and model output form corresponding to each hierarchical node.

[0085] In the embodiments of the present application, the core goal of multi-level modeling is to build a high-fidelity, dynamically adjustable digital twin model through kinematic modeling, dynamic modeling and parametric modeling methods, and realize real-time interaction and optimization between the physical production line and the virtual model.

[0086] In this step, for the control point layer, it is determined that the dynamic model corresponding to the control point layer is the motion dynamics equation, the corresponding control logic model is the sensor signal model, and the corresponding model output form is high-precision physical simulation.

[0087] For the device layer, the dynamic model corresponding to the device layer is determined to be a multi-body dynamic model, the corresponding control logic model is a control logic joint simulation, and the corresponding model output form is a 3D device digital twin.

[0088] For the production line layer, the dynamic model corresponding to the equipment layer is determined to be discrete event simulation, the corresponding control logic model is the parametric production line layout, and the corresponding model output form is the virtual production line.

[0089] For the workshop layer, the dynamic model corresponding to the equipment layer is determined to be the system dynamics model, the corresponding control logic model is the scheduling integration algorithm, and the corresponding model output form is the global simulation platform.

[0090] S1012: Perform hierarchical coupling on each of the hierarchical nodes to determine the corresponding input boundary conditions and instruction transmission routes between each of the hierarchical nodes.

[0091] In this step, the preset OPC UA protocol data interface is used to realize real-time data interaction between the device layer and the multi-level model.

[0092] Furthermore, the lower-level model (e.g., equipment dynamics) serves as the input boundary condition of the upper-level model (e.g., production line simulation), and the upper-level model (e.g., shop floor scheduling) transmits optimization instructions (e.g., beat adjustment) to the lower-level model.

[0093] S1013. Based on the dynamic model, the control logic model and the model output form corresponding to each hierarchical node and the input boundary conditions and the instruction transmission route corresponding to each hierarchical node, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed.

[0094] In this step, based on the dynamic model, control logic model and model output form corresponding to each hierarchical node and the input boundary conditions and instruction transmission routes corresponding to each hierarchical node, a three-dimensional reconstruction of the model is performed to construct a multi-level model corresponding to the target vehicle intelligent cockpit production line.

[0095] S102. In the multi-level model, logically reconstruct the operation and control activities set for the target vehicle intelligent cockpit production line to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

[0096] In one embodiment of the present application, during specific implementation, step S102 may include:

[0097] S1021. Abstractly express the operation and control activities set up for the target vehicle intelligent cockpit production line, and determine the simulation monitoring process corresponding to the operation and control activities.

[0098] In the embodiment of the present application, operation and control activities refer to the core operations related to equipment operation, process control, data interaction, etc. in the smart cockpit production line, mainly including: equipment control, process execution, quality inspection, material scheduling, data interaction, etc.

[0099] In this step, the operation and control activities set up in the target vehicle intelligent cockpit production line are abstractly expressed, and the simulation monitoring process corresponding to the operation and control activities is determined to include at least the start of detection, image acquisition, comparison standards and output results, and the device communication protocol is encapsulated through an industrial standard interface.

[0100] S1022. Perform virtual twin verification on the simulation monitoring process in the multi-level model to reconstruct the monitoring logic corresponding to the simulation monitoring process in the digital twin environment corresponding to the multi-level model.

[0101] In this step, the monitoring logic corresponding to the simulation monitoring process is simulated and reconstructed in the digital twin environment of the multi-level model.

[0102] S1023. Setting a dynamic configuration loading unit for the multi-level model that has undergone the virtual twin verification to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

[0103] In this step, by setting a dynamic configuration loading unit for the multi-level model that has undergone virtual twin verification, the target vehicle intelligent cockpit production line is supported to be quickly updated when the process changes.

[0104] S103. Establish a mapping transmission channel between the virtual sensors preset in the multi-level logical model and the multiple monitoring points set up in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so that the real-time data collected by the target vehicle intelligent cockpit production line can be synchronously associated in the multi-level logical model.

[0105] In one embodiment of the present application, during specific implementation, step S103 may include:

[0106] S1031. Determine the data integration middle-layer platform corresponding to the multiple monitoring points set up in the target vehicle intelligent cockpit production line.

[0107] In an embodiment of the present application, since the production process of the physical workshop requires real-time data collection through sensors, equipment monitoring systems, machine learning algorithms, etc., sensors or embedded devices are deployed at multiple monitoring points to collect data from the physical workshop, and the Industrial Internet of Things (IIoT) protocol (such as MQTT, Modbus, etc.) is used to connect the equipment and data acquisition system to ensure real-time data collection and transmission to the middle-layer platform.

[0108] Here, the purpose of setting up a data integration middle-layer platform corresponding to multiple monitoring points set up in the target vehicle intelligent cockpit production line is to achieve refined and hierarchical production line monitoring and data management.

[0109] Furthermore, the preset OPC client is used through hierarchical modeling, structured data types and dynamic subscription mechanisms to achieve efficient collection of complex relational data in the smart cockpit production line. These data include not only equipment status and process parameters, but more importantly, the logical chain, timing chain and causal chain behind them, providing core data support for virtual reconstruction, quality traceability and dynamic optimization.

[0110] S1032. Based on the preset OPC communication protocol, a data preprocessing unit, a data synchronization transmission unit, a data analysis unit and a data format conversion unit are set between the virtual sensor preset in the multi-level logical model and the data integration middle layer platform by means of computing edge nodes.

[0111] Here, the OPC communication protocol (OLE for Process Control) has now developed into OPC UA, that is, OPC Unified Architecture. The OPC communication protocol is a standardized communication protocol in the field of industrial automation, used to realize data interaction between equipment, control systems and upper-level software (such as MES, SCADA, and digital twin systems).

[0112] Among them, using the OPC UA server under the OPC communication protocol, the operating status (for example, position, torque, and fault codes, etc.) of production line equipment (for example, robotic arms, tightening guns, and visual inspection instruments, etc.) can be obtained in real time.

[0113] In the embodiments of this application, virtual sensors are generated using mathematical models, algorithms, or data fusion techniques to simulate the functionality of real sensors. These virtual sensors can be used to obtain real-time information about the system status to be monitored, even in locations where physical sensors are not available.

[0114] In this step, since the data of the physical workshop needs to enter the cloud platform database of the multi-level logical model through a reliable and real-time transmission channel, a data preprocessing unit and a data synchronization transmission unit are set through the edge computing node to preprocess and synchronize the data. The data format conversion unit is set through the edge computing device to preprocess the data to reduce the pressure and delay of data transmission, and the data transmission protocol and data analysis unit are set to ensure the real-time and stability of the data.

[0115] S1033: Determine the corresponding data relationship between the virtual sensor and the monitoring point using a preset analysis tool, and determine the corresponding data mapping relationship between the virtual sensor and the monitoring point based on the data relationship.

[0116] In this step, during specific implementation, first, a preset analysis tool (e.g., statistical analysis, scatter plot, correlation matrix, etc.) is used to preliminarily identify the corresponding data relationship between the virtual sensor and the monitoring point; then, based on the preliminary analysis results, a preset mathematical model is used to further confirm the association between the virtual sensor and the monitoring point (e.g., regression analysis, decision tree, neural network, etc. are used to verify whether the assumed association relationship is established); thereafter, based on the output of the mathematical model, the associated parameters are continuously adjusted to optimize the identification of the relationship between the data; finally, adjustment and optimization are performed through test feedback data to determine the corresponding data mapping relationship between the virtual sensor and the monitoring point to ensure that the data mapping relationship remains valid in a dynamic environment.

[0117] S1034. Based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, a corresponding mapping transmission channel is established between the virtual sensor and the monitoring point to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

[0118] In this step, based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, the data generated by the virtual sensor is analyzed, the data to be paid attention to is determined, and the monitored parameters (for example, target values, thresholds, alarm values, etc.) are allocated to different monitoring points to achieve full-process monitoring of all links of the production line, and then establish corresponding mapping transmission channels between virtual sensors and monitoring points.

[0119] Furthermore, the data preprocessing unit, data synchronization transmission unit, data analysis unit, data format conversion unit, data mapping relationship and mapping transmission channel are integrated into a multi-level logical model to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

[0120] In this way, in the simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, data dual mapping between the "physical workshop and the virtual workshop" is realized. The ultimate goal of data dual mapping is to map various types of data generated in real time during the physical production process into the virtual environment, achieve a high degree of synchronization between virtual and reality, and support the optimization of the production process and decision analysis. This process involves collecting actual production data in the physical workshop (such as machine status, production progress, temperature and humidity, production quality, etc.) through sensors, IoT devices, etc., and transmitting them to the simulation monitoring model.

[0121] S104. Use a preset graphics engine tool to visualize the simulation monitoring model, set functional units in the simulation monitoring model, obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and use the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line.

[0122] In one embodiment of the present application, in a specific implementation, the steps of visually rendering the simulation monitoring model using a preset graphics engine tool in step S104, and setting functional units in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line may include:

[0123] S1041: Use a preset graphic engine tool to load the simulation monitoring model into a preset virtual scene, and render the simulation monitoring model in the virtual scene.

[0124] In an embodiment of the present application, the preset graphics engine tool may include an OSG tool. OSG (OpenSceneGraph) is an open source, efficient three-dimensional graphics engine that provides rich 3D visualization functions and can be widely used in simulation, virtual reality, computer graphics, and various fields that require three-dimensional data visualization. OSG supports multiple graphics rendering technologies and can efficiently process complex three-dimensional models and animations, and is suitable for virtual space simulation in the production process.

[0125] In this step, based on OSG's three-dimensional virtual space visualization technology, a virtual three-dimensional space is created to display the various links, equipment, products and their status changes in the target vehicle's intelligent cockpit production line. Through real-time rendering and interactive operations, users can clearly understand the production process, the usage of various resources, and the real-time status of equipment and production lines, so as to render the simulation monitoring model in the virtual scene.

[0126] S1042. In the virtual scene, map the multiple monitoring points set on the target vehicle intelligent cockpit production line to the simulation monitoring model, and visualize the simulation monitoring model.

[0127] In this step, in order to achieve real-time monitoring and operation, multiple monitoring points set up in the target vehicle intelligent cockpit production line are mapped to the simulation monitoring model, so that information such as the equipment operating status, material location and production progress of the target vehicle intelligent cockpit production line can be updated in real time to the corresponding elements in the simulation monitoring model.

[0128] Furthermore, in the virtual scene, the data and status in the simulation monitoring model are dynamically changing, and the simulation monitoring model needs to be synchronized with the real-time production data collected by multiple monitoring points to ensure that the display content in the simulation monitoring model is consistent with the actual production process of the target vehicle intelligent cockpit production line.

[0129] S1043. Setting functional units corresponding to the target vehicle intelligent cockpit production line in the simulation monitoring model after visualization processing to obtain the simulation monitoring system.

[0130] In this step, the simulation monitoring model needs to be optimized due to the large amount of data generated and frequent updates during the production process of the target vehicle intelligent cockpit production line. For example, this can be achieved by simplifying the model, using LOD (Level of Detail) technology, and rationally allocating computing resources to ensure that the simulation monitoring model can continue to run smoothly under high load.

[0131] Furthermore, corresponding functional units are set according to the functions corresponding to the production requirements and monitoring and management requirements of the target vehicle intelligent cockpit production line, and the functional units are embedded in the simulation monitoring model to obtain a simulation monitoring system.

[0132] In an embodiment of the present application, the graphics rendering and scene management functions encapsulated by the preset graphics engine tool are used to construct an interactive interface of the simulation monitoring model to realize various forms of human-computer interaction functions.

[0133] Among them, the functions encapsulated by the graphics engine tool provide the basis for graphics rendering and input event processing for virtual reconstruction and simulation monitoring models, and realize various human-computer interaction functions by combining input device management, GUI tools and dynamic feedback mechanisms.

[0134] In one embodiment of the present application, in specific implementation, the step of using the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line in step S104 may include:

[0135] S1044: In response to obtaining real-time monitoring data collected by multiple monitoring points set up by the target vehicle intelligent cockpit production line, transmit the real-time monitoring data to the simulation monitoring system.

[0136] In this step, in response to obtaining the real-time monitoring data collected by the physical sensor reflecting the real-time status of each link in the production line, the real-time monitoring data is transmitted to the simulation monitoring system using the OPC UA server under the preset OPC communication protocol.

[0137] S1045: Utilize the simulation monitoring system to perform format conversion, preprocessing, and synchronous mapping on the received real-time monitoring data to obtain simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system.

[0138] In this step, during the specific implementation, first, the real-time monitoring data is converted into a data format using the simulation monitoring system to ensure that the real-time monitoring data of the physical workshop matches the format of the simulation monitoring system; then, the real-time monitoring data is cleaned, denoised, standardized or normalized to eliminate noise and ensure the quality and accuracy of the data for subsequent processing and analysis; finally, the real-time monitoring data is synchronously mapped in the simulation monitoring system to obtain the simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system.

[0139] For example, in the smart cockpit screen bonding process, a virtual pressure sensor is used to simulate the bonding force curve to obtain real-time monitoring data; then, the virtual sensor, as a node of the OPCUA server, maps the real-time monitoring data in real time to obtain simulated monitoring data, and the simulation monitoring system subscribes to the simulated monitoring data through the OPCUA server to realize the interaction between virtual and real data; finally, a timestamp is used to ensure that the simulated monitoring data is synchronized with the clock of the physical device at the monitoring point to avoid logical errors caused by simulation delays.

[0140] S1046: Utilize the simulation monitoring system to perform data analysis on the simulation monitoring data, and monitor and manage the target vehicle intelligent cockpit production line based on the analysis results.

[0141] In this step, the simulation monitoring system is used to analyze the simulation monitoring data, and the target vehicle intelligent cockpit production line is monitored and managed based on the analysis results.

[0142] In the embodiment of the present application, the simulation monitoring system needs to store the simulation monitoring data in the corresponding database; in addition, the synchronized simulation monitoring data may be lost, duplicated or have abnormal data, which requires targeted real-time monitoring and response processing.

[0143] Here, the simulation monitoring system is updated in real time through data analysis to ensure that the status of the simulation monitoring system is synchronized with the physical workshop. The simulation monitoring system not only reflects the status of the physical workshop in real time, but also needs to be able to provide real-time feedback to the physical workshop to optimize the production process. Operators can view the production status in real time and make decisions through the simulation monitoring system.

[0144] In another embodiment of the present application, optionally, the step of monitoring and managing the target vehicle intelligent cockpit production line using the simulation monitoring system in step S104 further includes:

[0145] S1047. In response to receiving an interactive operation instruction signal for the target vehicle intelligent cockpit production line, determine an operation behavior corresponding to the interactive operation instruction signal, and control the simulation monitoring system to execute the operation behavior.

[0146] In this step, the human-computer interaction interface of the simulation monitoring system receives an interactive operation instruction signal for the target vehicle intelligent cockpit production line sent by the user, determines the operation behavior indicated by the interactive operation instruction signal, and controls the simulation monitoring system to execute the operation behavior; further, the simulation monitoring system can control the physical equipment of the target vehicle intelligent cockpit production line to perform corresponding operations.

[0147] The simulation monitoring method for a vehicle intelligent cockpit production line provided in an embodiment of the present application constructs a multi-level model based on multiple hierarchical nodes corresponding to the vehicle intelligent cockpit production line, and obtains a multi-level logical model through logical reconstruction, establishes mapping transmission channels corresponding to virtual sensors and multiple monitoring points set up in the vehicle intelligent cockpit production line, so that the collected real-time data is synchronously associated in the multi-level logical model, and performs visual rendering and function setting on the model to obtain a simulation monitoring system for monitoring and managing the target vehicle intelligent cockpit production line, realizing unified collection, real-time mapping and hierarchical monitoring of multi-source production data, improving the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line, and thereby improving the efficiency and stability of vehicle cockpit production.

[0148] See also Figure 2 , Figure 2 This is a schematic diagram of the structure of a simulation monitoring device for a vehicle intelligent cockpit production line provided by an embodiment of the present application. Figure 2 As shown in , the simulation monitoring device 200 includes:

[0149] A model building module 210 is configured to build a multi-level model corresponding to a target vehicle intelligent cockpit production line for which simulation monitoring is desired, based on multiple level nodes corresponding to the target vehicle intelligent cockpit production line;

[0150] A logic reconstruction module 220 is used to perform logic reconstruction on the operation and control activities set for the target vehicle intelligent cockpit production line in the multi-level model to obtain a multi-level logic model corresponding to the target vehicle intelligent cockpit production line;

[0151] A data association module 230 is configured to establish corresponding mapping transmission channels between virtual sensors preset in the multi-level logical model and multiple monitoring points set up in the target vehicle intelligent cockpit production line, thereby obtaining a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so as to synchronously associate real-time data collected by the target vehicle intelligent cockpit production line in the multi-level logical model;

[0152] The monitoring and management module 240 is used to use a preset graphics engine tool to visualize the simulation monitoring model, set functional units in the simulation monitoring model, obtain the simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and use the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line.

[0153] Furthermore, the hierarchical nodes include at least a control point layer, a device layer, a production line layer, and a workshop layer;

[0154] When the model construction module 210 is used to construct a multi-level model corresponding to the target vehicle intelligent cockpit production line based on multiple level nodes corresponding to the target vehicle intelligent cockpit production line, the model construction module 210 is used to:

[0155] For multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, determining a dynamic model, a control logic model, and a model output form corresponding to each hierarchical node;

[0156] Performing hierarchical coupling on each of the hierarchical nodes to determine the corresponding input boundary conditions and instruction transmission routes between each of the hierarchical nodes;

[0157] Based on the dynamic model, the control logic model and the model output form corresponding to each hierarchical node and the input boundary conditions and the instruction transmission route corresponding to each hierarchical node, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed.

[0158] Furthermore, when the logic reconstruction module 220 is used to logically reconstruct the operation and control activities set up for the target vehicle intelligent cockpit production line in the multi-level model to obtain the multi-level logic model corresponding to the target vehicle intelligent cockpit production line, the logic reconstruction module 220 is used to:

[0159] Abstractly express the operation and control activities set up in the target vehicle intelligent cockpit production line and determine the simulation monitoring process corresponding to the operation and control activities;

[0160] Performing virtual twin verification on the simulation monitoring process in the multi-level model to reconstruct the monitoring logic corresponding to the simulation monitoring process in the digital twin environment corresponding to the multi-level model;

[0161] A dynamic configuration loading unit is set for the multi-level model that has undergone the virtual twin verification to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

[0162] Furthermore, when the data association module 230 establishes a mapping transmission channel between the virtual sensors preset in the multi-level logical model and the multiple monitoring points set in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, the data association module 230 is used to:

[0163] Determine the data integration middle layer platform corresponding to the multiple monitoring points set up in the target vehicle intelligent cockpit production line;

[0164] Based on the preset OPC communication protocol, a data preprocessing unit, a data synchronization transmission unit, a data analysis unit and a data format conversion unit are set between the virtual sensor preset in the multi-level logical model and the data integration middle layer platform by means of computing edge nodes;

[0165] Determine the corresponding data relationship between the virtual sensor and the monitoring point using a preset analysis tool, and determine the corresponding data mapping relationship between the virtual sensor and the monitoring point based on the data relationship;

[0166] Based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, a corresponding mapping transmission channel is established between the virtual sensor and the monitoring point to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

[0167] Furthermore, when the monitoring management module 240 is used to perform visual rendering on the simulation monitoring model using a preset graphics engine tool and set functional units in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, the monitoring management module 240 is used to:

[0168] Using a preset graphics engine tool, the simulation monitoring model is loaded into a preset virtual scene, and the simulation monitoring model is rendered in the virtual scene;

[0169] In the virtual scene, mapping multiple monitoring points set on the target vehicle intelligent cockpit production line to the simulation monitoring model, and visualizing the simulation monitoring model;

[0170] Functional units corresponding to the target vehicle intelligent cockpit production line are set in the simulation monitoring model after visualization processing to obtain the simulation monitoring system.

[0171] Furthermore, when the monitoring management module 240 is used to monitor and manage the target vehicle intelligent cockpit production line using the simulation monitoring system, the monitoring management module 240 is used to:

[0172] In response to acquiring real-time monitoring data collected by a plurality of monitoring points set up in the target vehicle intelligent cockpit production line, transmitting the real-time monitoring data to the simulation monitoring system;

[0173] Utilizing the simulation monitoring system to perform format conversion, preprocessing, and synchronous mapping on the received real-time monitoring data, to obtain simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system;

[0174] The simulation monitoring system is used to perform data analysis on the simulation monitoring data, and the target vehicle intelligent cockpit production line is monitored and managed based on the analysis results.

[0175] Furthermore, when the monitoring management module 240 is used to monitor and manage the target vehicle intelligent cockpit production line using the simulation monitoring system, the monitoring management module 240 is further used to:

[0176] In response to receiving an interactive operation instruction signal for the target vehicle intelligent cockpit production line, an operation behavior corresponding to the interactive operation instruction signal is determined, and the simulation monitoring system is controlled to execute the operation behavior.

[0177] The simulation monitoring device for a vehicle intelligent cockpit production line provided in an embodiment of the present application constructs a multi-level model based on multiple hierarchical nodes corresponding to the vehicle intelligent cockpit production line, and obtains a multi-level logical model through logical reconstruction, establishes corresponding mapping transmission channels between virtual sensors and multiple monitoring points set up in the vehicle intelligent cockpit production line, so that the collected real-time data is synchronously associated in the multi-level logical model, and performs visual rendering and function setting on the model to obtain a simulation monitoring system for monitoring and managing the target vehicle intelligent cockpit production line, realizing unified collection, real-time mapping and hierarchical monitoring of multi-source production data, improving the accuracy and real-time performance of monitoring the vehicle intelligent cockpit production line, and thereby improving the efficiency and stability of vehicle cockpit production.

[0178] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown in FIG, the electronic device 300 includes a processor 310 , a memory 320 and a bus 330 .

[0179] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 via the bus 330. When the machine-readable instructions are executed by the processor 310, the above-mentioned Figure 1 The steps of the simulation monitoring method for the vehicle intelligent cockpit production line in the method embodiment shown are specifically implemented in accordance with the method embodiment and will not be described in detail here.

[0180] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figure 1 The steps of the simulation monitoring method for the vehicle intelligent cockpit production line in the method embodiment shown are specifically implemented in accordance with the method embodiment and will not be described in detail here.

[0181] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0182] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0183] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0184] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0185] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0186] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. These modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A simulation monitoring method for a vehicle intelligent cockpit production line, characterized in that: The simulation monitoring method comprises: For a target vehicle intelligent cockpit production line that is desired to be simulated and monitored, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line; In the multi-level model, logically reconstruct the operation and control activities set up in the target vehicle intelligent cockpit production line to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line; A mapping transmission channel is established between the virtual sensors preset in the multi-level logical model and the multiple monitoring points set up in the target vehicle intelligent cockpit production line to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so that the real-time data collected by the target vehicle intelligent cockpit production line is synchronously associated in the multi-level logical model; The simulation monitoring model is visualized and rendered using a preset graphics engine tool, and a functional unit is set in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and the target vehicle intelligent cockpit production line is monitored and managed using the simulation monitoring system.

2. The method according to claim 1, characterized in that The hierarchical nodes include at least a control point layer, an equipment layer, a production line layer, and a workshop layer; The step of constructing a multi-level model corresponding to the target vehicle intelligent cockpit production line based on multiple level nodes corresponding to the target vehicle intelligent cockpit production line includes: For multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line, determining a dynamic model, a control logic model, and a model output form corresponding to each hierarchical node; Performing hierarchical coupling on each of the hierarchical nodes to determine the corresponding input boundary conditions and instruction transmission routes between each of the hierarchical nodes; Based on the dynamic model, the control logic model and the model output form corresponding to each hierarchical node and the input boundary conditions and the instruction transmission route corresponding to each hierarchical node, a multi-level model corresponding to the target vehicle intelligent cockpit production line is constructed.

3. The method according to claim 1, characterized in that In the multi-level model, the operation and control activities set up for the target vehicle intelligent cockpit production line are logically reconstructed to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line, including: Abstractly express the operation and control activities set up in the target vehicle intelligent cockpit production line and determine the simulation monitoring process corresponding to the operation and control activities; Performing virtual twin verification on the simulation monitoring process in the multi-level model to reconstruct the monitoring logic corresponding to the simulation monitoring process in the digital twin environment corresponding to the multi-level model; A dynamic configuration loading unit is set for the multi-level model that has undergone the virtual twin verification to obtain a multi-level logical model corresponding to the target vehicle intelligent cockpit production line.

4. The method according to claim 1, wherein The virtual sensors preset in the multi-level logic model are mapped to the plurality of monitoring points set in the target vehicle intelligent cockpit production line, thereby obtaining a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, including: Determine the data integration middle layer platform corresponding to the multiple monitoring points set up in the target vehicle intelligent cockpit production line; Based on the preset OPC communication protocol, a data preprocessing unit, a data synchronization transmission unit, a data analysis unit and a data format conversion unit are set between the virtual sensor preset in the multi-level logical model and the data integration middle layer platform by means of computing edge nodes; Determine the corresponding data relationship between the virtual sensor and the monitoring point using a preset analysis tool, and determine the corresponding data mapping relationship between the virtual sensor and the monitoring point based on the data relationship; Based on the data preprocessing unit, the data synchronization transmission unit, the data analysis unit, the data format conversion unit and the data mapping relationship, a corresponding mapping transmission channel is established between the virtual sensor and the monitoring point to obtain a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line.

5. The method according to claim 1, characterized in that The method of visually rendering the simulation monitoring model using a preset graphics engine tool and setting functional units in the simulation monitoring model to obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line includes: Using a preset graphics engine tool, the simulation monitoring model is loaded into a preset virtual scene, and the simulation monitoring model is rendered in the virtual scene; In the virtual scene, mapping multiple monitoring points set on the target vehicle intelligent cockpit production line to the simulation monitoring model, and visualizing the simulation monitoring model; Functional units corresponding to the target vehicle intelligent cockpit production line are set in the simulation monitoring model after visualization processing to obtain the simulation monitoring system.

6. The method according to claim 1, characterized in that The use of the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line includes: In response to acquiring real-time monitoring data collected by a plurality of monitoring points set up in the target vehicle intelligent cockpit production line, transmitting the real-time monitoring data to the simulation monitoring system; Utilizing the simulation monitoring system to perform format conversion, preprocessing, and synchronous mapping on the received real-time monitoring data, to obtain simulation monitoring data corresponding to the real-time monitoring data in the simulation monitoring system; The simulation monitoring system is used to perform data analysis on the simulation monitoring data, and the target vehicle intelligent cockpit production line is monitored and managed based on the analysis results.

7. The method according to claim 6, characterized in that The use of the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line also includes: In response to receiving an interactive operation instruction signal for the target vehicle intelligent cockpit production line, an operation behavior corresponding to the interactive operation instruction signal is determined, and the simulation monitoring system is controlled to execute the operation behavior.

8. A simulation monitoring device for a vehicle intelligent cockpit production line, characterized in that: The simulation monitoring device comprises: A model building module is used to build a multi-level model corresponding to a target vehicle intelligent cockpit production line for which simulation monitoring is desired, based on multiple hierarchical nodes corresponding to the target vehicle intelligent cockpit production line; a logic reconstruction module, configured to logically reconstruct the operation and control activities set for the target vehicle intelligent cockpit production line in the multi-level model to obtain a multi-level logic model corresponding to the target vehicle intelligent cockpit production line; a data association module for establishing corresponding mapping transmission channels between virtual sensors preset in the multi-level logical model and multiple monitoring points set up in the target vehicle intelligent cockpit production line, thereby obtaining a simulation monitoring model corresponding to the target vehicle intelligent cockpit production line, so as to synchronously associate real-time data collected by the target vehicle intelligent cockpit production line in the multi-level logical model; The monitoring and management module is used to use a preset graphics engine tool to visually render the simulation monitoring model, set functional units in the simulation monitoring model, obtain a simulation monitoring system corresponding to the target vehicle intelligent cockpit production line, and use the simulation monitoring system to monitor and manage the target vehicle intelligent cockpit production line.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus. When the processor is running, the machine-readable instructions execute the steps of the simulation monitoring method for the vehicle intelligent cockpit production line as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the simulation monitoring method for a vehicle intelligent cockpit production line according to any one of claims 1 to 7.

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