Digital modeling method, device and system for measurement and control equipment

Abstract

The invention provides a digital modeling method, device and system for measurement and control equipment. The method comprises the following steps: acquiring equipment information and an application scene of to-be-modeled measurement and control equipment; searching a target performance specification attribute parameter and a target modeling rule matched with the equipment information from a preset dictionary database according to the equipment information and the application scene; the dictionary database comprises performance specification attribute parameters and modeling rules of various measurement and control devices; the various measurement and control devices comprise to-be-modeled measurement and control devices; and according to the target performance specification attribute parameters and the target modeling rule, performing digital modeling on the to-be-modeled measurement and control equipment to obtain a digital model of the to-be-modeled measurement and control equipment. According to the technology, the performance specification attribute parameters and the modeling rules are matched from the preset dictionary database, so that accurate digital modeling for different application scenes is realized, and the modeling efficiency and the applicability and accuracy of the model are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital modeling, and in particular, to a digital modeling method, device, and system for a measurement and control device. Background Art

[0002] In industrial production, as a key device in the production process, the performance and efficiency of measurement and control equipment directly affect product quality and production benefits. With the rapid development of industrial automation and intelligence, the complexity and functional requirements of measurement and control equipment are constantly increasing. Digital modeling and simulation technology, as an important design and optimization means, can effectively improve the performance and reliability of measurement and control equipment, optimize the production process, and reduce R & D costs and time.

[0003] Currently, there are differences in the modeling methods and standards used by different manufacturers and research institutions, resulting in poor interoperability and reusability of digital models. For example, measurement and control equipment from different manufacturers may adopt different data formats and modeling specifications, making it difficult to achieve rapid sharing and integration of models in cross-platform and cross-manufacturer collaborative design. The lack of a standardized modeling method limits the sharing and collaborative design of digital models between different systems and platforms, increases the workload and cost of repeated digital modeling, and reduces R & D efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide a digital modeling method, device, and system for a measurement and control device, so as to alleviate the technical problem in the prior art that due to the lack of a unified standardized modeling method and data format, the interoperability and reusability of models between different manufacturers and platforms are poor, thereby increasing R & D costs and time and reducing the efficiency of collaborative design, so as to reduce the workload and cost of digital modeling and improve R & D efficiency.

[0005] In a first aspect, an embodiment of the present invention provides a digital modeling method for a measurement and control device, including: obtaining device information and an application scenario of the measurement and control device to be modeled; according to the device information and the application scenario, searching for target performance specification attribute parameters and target modeling rules that match the device information from a preset dictionary database; the dictionary database includes performance specification attribute parameters and modeling rules of various measurement and control devices; the various measurement and control devices include the measurement and control device to be modeled; according to the target performance specification attribute parameters and the target modeling rules, performing digital modeling on the measurement and control device to be modeled to obtain a digital model of the measurement and control device to be modeled.

[0006] In a preferred embodiment of the present invention, after the step of digitally modeling the to-be-modeled measurement and control device according to the above-mentioned target performance specification attribute parameters and the above-mentioned target modeling rules to obtain the digital model of the to-be-modeled measurement and control device, the method includes: based on the above-mentioned application scenario, performing simulations of multiple mode types on the digital model.

[0007] In a preferred embodiment of the present invention, the above-mentioned application scenario includes: a static working condition scenario and a dynamic working condition scenario; the step of performing simulations of multiple mode types on the digital model based on the above-mentioned application scenario includes: performing a static simulation on the digital model based on the above-mentioned static working condition scenario; and performing a dynamic simulation on the digital model based on the above-mentioned dynamic working condition scenario.

[0008] In a preferred embodiment of the present invention, the to-be-modeled measurement and control device is an industrial robot; the above-mentioned target performance specification attribute parameters are the static performance parameters and dynamic performance parameters of the industrial robot; the step of digitally modeling the to-be-modeled measurement and control device according to the above-mentioned target performance specification attribute parameters and the above-mentioned target modeling rules to obtain the digital model of the to-be-modeled measurement and control device includes: performing static digital modeling on the to-be-modeled measurement and control device according to the above-mentioned static performance parameters and the first target modeling rule corresponding to the static performance parameters to obtain the static digital model of the to-be-modeled measurement and control device; performing dynamic digital modeling on the to-be-modeled measurement and control device according to the above-mentioned dynamic performance parameters and the second target modeling rule corresponding to the dynamic performance parameters to obtain the dynamic digital model of the to-be-modeled measurement and control device; performing a static simulation on the digital model based on the above-mentioned static working condition scenario; and the step of performing a dynamic simulation on the digital model based on the above-mentioned dynamic working condition scenario includes: performing a static simulation on the static digital model based on the above-mentioned static working condition scenario; and performing a dynamic simulation on the above-mentioned dynamic performance parameters based on the above-mentioned dynamic working condition scenario.

[0009] In a preferred embodiment of the present invention, the above-mentioned static performance parameters include: the static stiffness of the joints of the industrial robot, the deformation amount of the joints under a preset load, and the static torque of the motor; the first target modeling rule includes: the topological structure modeling rule of the industrial robot; the above-mentioned dynamic performance parameters include: the kinematic parameters and control logic of the joints of the industrial robot; the second target modeling rule includes: the dynamic behavior modeling rule of the industrial robot.

[0010] In a preferred embodiment of the present invention, based on the above static operating condition scenario, a static simulation is performed on the above digital model; after the step of performing a dynamic simulation on the above digital model based on the above dynamic operating condition scenario, the method further includes: performing a performance evaluation on the simulation results of the above multi-mode types based on preset parameter indicators to obtain the performance of the above digital model corresponding to the above simulation results.

[0011] In a preferred embodiment of the present invention, after the step of performing a performance evaluation on the simulation results of the above multi-mode types based on preset parameter indicators to obtain the performance of the above digital model corresponding to the above simulation results, the method further includes: obtaining the actual operating parameters of the above measurement and control equipment to be modeled; evaluating the accuracy of the above digital model according to the above actual operating parameters and the above simulation results.

[0012] In a preferred embodiment of the present invention, before the step of searching for target performance specification attribute parameters matching the above device information from a preset dictionary database according to the above device information and the above application scenario, the method includes: obtaining the original performance specification attribute parameters; preprocessing the above original performance specification attribute parameters to obtain the above performance specification attribute parameters; constructing the above dictionary database based on the above performance specification attribute parameters.

[0013] In a second aspect, an embodiment of the present invention provides a digital modeling device for a measurement and control device, including: a data acquisition module, configured to acquire the device information and application scenario of the measurement and control device to be modeled; a query module, configured to search for target performance specification attribute parameters and target modeling rules matching the above device information from a preset dictionary database according to the above device information and the above application scenario; the above dictionary database includes performance specification attribute parameters and modeling rules of multiple measurement and control devices; the above multiple measurement and control devices include the above measurement and control device to be modeled; a modeling module, configured to perform digital modeling on the above measurement and control device to be modeled according to the above target performance specification attribute parameters and the above target modeling rules to obtain the digital model of the above measurement and control device to be modeled.

[0014] In a third aspect, an embodiment of the present invention further provides a digital modeling system for a measurement and control device, including: a workstation device, configured to implement the above digital modeling method for the measurement and control device; a server connected to the above workstation device, configured to store and maintain the digital model obtained by the above workstation device, and store and maintain the simulation data used by the above workstation device and a preset dictionary database; a data acquisition device connected to the above workstation device, configured to collect the device information and application scenario corresponding to the above measurement and control device to be modeled from an actual measurement and control device, and provide the collected above device information and the above application scenario to the above workstation device; wherein, there is a corresponding relationship between the above actual measurement and control device and the above measurement and control device to be modeled.

[0015] The embodiments of the present invention have the following beneficial technical effects: The embodiments of the present invention provide a digital modeling method, device, and system for a measurement and control device, including: obtaining device information and an application scenario of the measurement and control device to be modeled; according to the above device information and the above application scenario, searching for target performance specification attribute parameters and target modeling rules that match the above device information from a preset dictionary database; the above dictionary database includes performance specification attribute parameters and modeling rules of multiple measurement and control devices; the above multiple measurement and control devices include the measurement and control device to be modeled; according to the above target performance specification attribute parameters and the above target modeling rules, performing digital modeling on the above measurement and control device to be modeled to obtain a digital model of the above measurement and control device to be modeled. This technology realizes accurate digital modeling for different application scenarios by matching performance specification attribute parameters and modeling rules from a preset dictionary database, significantly improving the modeling efficiency and the applicability and accuracy of the model. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 It is a flowchart of a digital modeling method for a measurement and control device provided by an embodiment of the present invention; Figure 2 It is a flowchart of another digital modeling method for a measurement and control device provided by an embodiment of the present invention; Figure 3 It is a structural diagram of a digital modeling device for a measurement and control device provided by an embodiment of the present invention; Figure 4 It is a structural diagram of a digital modeling system for a measurement and control device provided by an embodiment of the present invention.

[0018] Reference numerals: 31 - data acquisition module; 32 - query module; 33 - modeling module; 41 - workstation device; 42 - server; 43 - data acquisition device. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. The components of the embodiments of the present invention usually described and illustrated in the drawings here can be arranged and designed in various different configurations.

[0020] In industrial production, measurement and control equipment is crucial for ensuring product quality and improving production efficiency. With the advancement of automation and intelligence, these devices have become increasingly complex, and the requirements for functions have also been increasing day by day. As an important tool for design and optimization, digital modeling and simulation technology can significantly enhance the performance and reliability of measurement and control equipment, optimize the production process, and reduce R & D costs and cycles. However, currently, the modeling methods and standards used by various manufacturers and research institutions are not unified, resulting in poor interoperability and reusability of digital models. Different manufacturers adopt different data formats and modeling specifications, making collaborative design across platforms and manufacturers challenging and difficult to achieve rapid sharing and integration of models. This lack of standardization increases the workload and costs of repeated modeling and reduces R & D efficiency.

[0021] Based on this, the embodiments of the present invention provide a digital modeling method, device, and system for measurement and control equipment. This technology realizes precise digital modeling for different application scenarios by matching performance specification attribute parameters and modeling rules from a preset dictionary database, significantly improving the modeling efficiency, applicability, and accuracy of the model. For ease of understanding, a digital modeling method for measurement and control equipment is first introduced.

[0022] Embodiment 1 In this embodiment, Figure 1 is a schematic flowchart of a digital modeling method for measurement and control equipment provided by an embodiment of the present invention.

[0023] As Figure 1 can be seen, the method includes: Step S101: Obtain the device information and application scenario of the measurement and control equipment to be modeled.

[0024] In actual operation, the device information of the above-mentioned measurement and control equipment to be modeled includes the specific type, technical parameters, interface standards, usage scenarios, and performance requirements of the measurement and control equipment; the above-mentioned application scenario includes a static scenario or a dynamic scenario.

[0025] Here, the above-mentioned step S101 can comprehensively and accurately obtain the device information and its application scenario of the measurement and control equipment to be modeled, providing a basis for subsequently searching for matching target performance specification attribute parameters and target modeling rules from the preset dictionary database.

[0026] Step S102: According to the above device information and the above application scenario, search for target performance specification attribute parameters and target modeling rules that match the above device information from a preset dictionary database; the dictionary database includes performance specification attribute parameters and modeling rules of various measurement and control devices; the various measurement and control devices include the measurement and control device to be modeled.

[0027] Here, the performance specification attribute parameters are used to comprehensively describe and evaluate the key performance indicators of the measurement and control device or system, including physical model parameters and behavioral model parameters. These parameters help users understand the capabilities of the device and provide important bases for selection, maintenance, and optimization. Further, the above modeling rules can be static modeling rules or dynamic behavioral modeling rules.

[0028] For example: For a measurement and control device with a complex geometric structure, it is necessary to refer to the geometric model attributes to determine the geometric parameters and topological structure of the digital model; for a device with dynamic behavior, it is necessary to refer to the behavioral model attributes to determine the motion equation and control logic of the digital model.

[0029] In this embodiment, after clarifying the specific type, technical parameters, interface standards, usage scenarios, and performance requirements of the measurement and control device, these information are matched with the preset dictionary database to search for the target performance specification attribute parameters and modeling rules most suitable for the device to ensure the accuracy and applicability of the digital model.

[0030] Among them, the above dictionary database is constructed based on the following steps: obtaining the original performance specification attribute parameters; preprocessing the original performance specification attribute parameters to obtain the performance specification attribute parameters; and constructing the dictionary database based on the performance specification attribute parameters. Here, the above original performance specification attribute parameters include the key performance indicators of various measurement and control devices, including physical model parameters and behavioral model parameters. The various measurement and control devices include: various types of industrial robots, such as welding robots and handling robots, etc.

[0031] Step S103: According to the above target performance specification attribute parameters and the above target modeling rules, perform digital modeling on the measurement and control device to be modeled to obtain a digital model of the measurement and control device to be modeled.

[0032] In actual operation, based on the determined target performance specification attribute parameters and modeling rules, precise digital modeling is performed on the measurement and control device to generate a digital model that can accurately reflect its characteristics, behavior, and application scenario for subsequent simulation testing and optimization analysis.

[0033] The digital modeling method of the measurement and control device provided by the embodiment of the present invention can, by introducing a dictionary database including performance specification attribute parameters and modeling rules of various measurement and control devices, when obtaining the device information and application scenario of the to-be-modeled measurement and control device, find the target performance specification attribute parameters and target modeling rules from the dictionary database according to the device information and application scenario, and then perform digital modeling on the to-be-modeled measurement and control device according to the target performance specification attribute parameters and target modeling rules to obtain a digital model matching the device information and application scenario. This modeling process standardizes the performance specification attribute parameters and modeling rules through the above dictionary database, making the digital models corresponding to the same device information and application scenario relatively unified, providing data guarantee for digital model sharing, and thus improving the modeling efficiency, applicability and accuracy of the model.

[0034] Embodiment 2 On the basis of the above embodiment, Figure 2 It is a schematic flowchart of another digital modeling method of the measurement and control device provided by the embodiment of the present invention.

[0035] As Figure 2 can be seen, the method includes: Step S201: Obtain the device information and application scenario of the to-be-modeled measurement and control device.

[0036] Step S202: According to the device information and the application scenario, find the target performance specification attribute parameters and target modeling rules that match the device information from a preset dictionary database; the dictionary database includes performance specification attribute parameters and modeling rules of various measurement and control devices; the various measurement and control devices include the to-be-modeled measurement and control device.

[0037] Among them, before the step of finding the target performance specification attribute parameters that match the device information from the preset dictionary database according to the device information and the application scenario, the method includes: obtaining the original performance specification attribute parameters; preprocessing the original performance specification attribute parameters to obtain the performance specification attribute parameters; and constructing the dictionary database based on the performance specification attribute parameters.

[0038] Here, the step of preprocessing the original performance specification attribute parameters to obtain the performance specification attribute parameters includes: First, perform data cleaning on the original performance specification attribute parameters, aiming to remove or correct incomplete, incorrect format, inconsistent or duplicate data to improve data quality. The specific operations include missing value processing, checking and processing missing values in the data, and you can choose to delete the records containing missing values or use methods such as interpolation method and mean filling to fill them, outlier detection and processing, identifying and processing outliers to obtain preprocessed data. Next, normalize the preprocessed data to obtain the performance specification attribute parameters.

[0039] Step S203: According to the above-mentioned target performance specification attribute parameters and the above-mentioned target modeling rules, perform digital modeling on the to-be-modeled measurement and control device to obtain a digital model of the to-be-modeled measurement and control device.

[0040] Step S204: Based on the above application scenario, perform simulations of multiple mode types on the above digital model.

[0041] In some of the embodiments, the above application scenario includes: a static working condition scenario and a dynamic working condition scenario; the step of performing simulations of multiple mode types on the above digital model based on the above application scenario includes: performing a static simulation on the above digital model based on the above static working condition scenario; and performing a dynamic simulation on the above digital model based on the above dynamic working condition scenario. By performing simulations of multiple mode types on the digital model under static and dynamic working condition scenarios, the performance and behavior of the system under different operating conditions can be comprehensively evaluated, thereby ensuring the accuracy and reliability of its design.

[0042] Further, the to-be-modeled measurement and control device is an industrial robot; the above target performance specification attribute parameters are the static performance parameters and dynamic performance parameters of the above industrial robot; the step of performing digital modeling on the to-be-modeled measurement and control device according to the above target performance specification attribute parameters and the above target modeling rules to obtain a digital model of the to-be-modeled measurement and control device includes: performing static digital modeling on the to-be-modeled measurement and control device according to the above static performance parameters and the first target modeling rule corresponding to the above static performance parameters to obtain a static digital model of the to-be-modeled measurement and control device; performing dynamic digital modeling on the to-be-modeled measurement and control device according to the above dynamic performance parameters and the second target modeling rule corresponding to the above dynamic performance parameters to obtain a dynamic digital model of the to-be-modeled measurement and control device; performing a static simulation on the above digital model based on the above static working condition scenario; and the step of performing a dynamic simulation on the above digital model based on the above dynamic working condition scenario includes: performing a static simulation on the above static digital model based on the above static working condition scenario; and performing a dynamic simulation on the above dynamic performance parameters based on the above dynamic working condition scenario.

[0043] In a specific implementation, the above static performance parameters include: the static stiffness of the joints of the above industrial robot, the deformation amount of the joints under a preset load, and the static torque of the motor; the above first target modeling rule includes: the topological structure modeling rule of the above industrial robot; the above dynamic performance parameters include: the kinematic parameters and control logic of the joints of the above industrial robot; the above second target modeling rule includes: the dynamic behavior modeling rule of the above industrial robot.

[0044] For ease of understanding, the following examples are listed in this application: For static simulation, static simulation is mainly used to analyze the steady-state performance of equipment under different working conditions. When performing static simulation on the measurement and control equipment to be modeled, it is first necessary to obtain the parameters related to the steady-state performance of the measurement and control equipment to be modeled from the dictionary database. For example, for an industrial robot, parameters such as the static stiffness of its joints, the deformation under load, and the static torque of the motor are obtained. Using these parameters, a static mechanical model of the robot under different loads and working conditions is constructed. Through finite element analysis (FEA) software, such as ANSYS, static simulation of the robot is carried out. In ANSYS, according to the parameters provided by the dictionary database, material properties, boundary conditions, and loads are set, and steady-state performance indicators such as stress distribution and deformation of the industrial robot under different working conditions are analyzed.

[0045] For dynamic simulation, dynamic simulation is used to simulate the dynamic behavior and response of equipment during actual operation. When performing dynamic simulation on the measurement and control equipment, it is necessary to obtain the parameters related to the dynamic behavior of the measurement and control equipment to be modeled from the dictionary database, such as kinematic parameters (position, velocity, acceleration) of the joints, dynamic parameters (torque, inertia), control logic parameters, etc. Using multi-body dynamics simulation software, such as ADAMS, combined with the parameters obtained from the data dictionary, a multi-body dynamics model of the robot is constructed. In ADAMS, the kinematic and dynamic equations of the industrial robot are set, and the dynamic behavior of the robot during actual operation is simulated, such as the motion trajectory of the joints, speed changes, acceleration changes, and interactions with the external environment. Suppose the measurement and control equipment is an industrial robot, and its dynamic simulation goal is to optimize the motion trajectory of the robot. First, kinematic parameters (position, velocity, acceleration), dynamic parameters (torque, inertia), and control logic parameters of the joints are obtained from the dictionary database. Then, multi-body dynamics simulation is carried out using ADAMS software. In ADAMS, a multi-body dynamics model of the robot is constructed according to the parameters provided by the dictionary database, the motion equations and control logic of the joints are set, and the motion trajectory of the robot under different path planning is simulated through simulation.

[0046] Furthermore, based on the above static working condition scenario, after performing static simulation on the above digital model; based on the above dynamic working condition scenario, after the steps of performing dynamic simulation on the above digital model, the above method further includes: performing performance evaluation on the simulation results of the above multi-mode type based on preset parameter indicators to obtain the performance of the above digital model corresponding to the above simulation results.

[0047] In some examples, performance evaluation is performed on the above simulation results to obtain charts, curves, and 3D animations corresponding to the above simulation results, so as to obtain the performance of the above digital model corresponding to the above simulation results and visually display this performance.

[0048] Further, after the step of performing performance evaluation on the simulation results of the above multi-mode types based on preset parameter indicators to obtain the performance of the above digital model corresponding to the above simulation results, the above method further includes: obtaining the actual operation parameters of the above measurement and control equipment to be modeled; evaluating the accuracy of the above digital model according to the above actual operation parameters and the above simulation results.

[0049] In actual operation, the performance specification attribute parameters in the dictionary database provide an important basis for the setting of simulation parameters and the construction of simulation scenarios. For example, referring to the state monitoring ability attribute in the monitoring and diagnosis data dictionary, set the monitoring points and monitoring parameters in the simulation process to monitor the operation status of the equipment in real time; according to the control ability attribute in the adaptation and optimization data dictionary, set the control strategy and parameters of the simulation model to simulate the operation behavior of the equipment under different control modes. At the same time, use the model building and simulation ability attribute in the dictionary database to evaluate and verify the simulation results. For example, through the model building and simulation accessibility attribute, check whether the simulation results can be obtained conveniently and quickly; through the model building and simulation security attribute, ensure the data security and information security in the simulation process.

[0050] An embodiment of the present invention provides a digital modeling method for a measurement and control equipment, including: obtaining the equipment information and application scenario of the measurement and control equipment to be modeled; according to the above equipment information and the above application scenario, searching in a preset dictionary database for target performance specification attribute parameters and target modeling rules that match the above equipment information; the above dictionary database includes performance specification attribute parameters and modeling rules of multiple measurement and control equipment; the above multiple measurement and control equipment includes the above measurement and control equipment to be modeled; performing digital modeling on the above measurement and control equipment to be modeled according to the above target performance specification attribute parameters and the above target modeling rules to obtain a digital model of the above measurement and control equipment to be modeled; performing multi-mode type simulation on the above digital model based on the above application scenario. This method realizes accurate digital modeling and multi-mode type simulation for a specific measurement and control equipment and its application scenario by searching for matching performance specification attribute parameters and modeling rules in a preset dictionary database, thereby improving the accuracy of modeling and the reliability of simulation.

[0051] Embodiment 3 Based on the above embodiment, Figure 3 It is a schematic structural diagram of a digital modeling device for a measurement and control equipment provided by an embodiment of the present invention.

[0052] As Figure 3 can be seen, the device includes: A data acquisition module 31, configured to acquire the equipment information and application scenario of the measurement and control equipment to be modeled.

[0053] A query module 32, configured to find target performance specification attribute parameters and target modeling rules that match the above device information from a preset dictionary database according to the above device information and the above application scenario; the dictionary database includes performance specification attribute parameters and modeling rules of various measurement and control devices; the various measurement and control devices include the to-be-modeled measurement and control device.

[0054] A modeling module 33, configured to perform digital modeling on the to-be-modeled measurement and control device according to the above target performance specification attribute parameters and the above target modeling rules, to obtain a digital model of the to-be-modeled measurement and control device.

[0055] Wherein, the above data acquisition module 31, query module 32, and modeling module 33 are connected in sequence.

[0056] In one implementation, the device further includes a simulation module connected to the above modeling module 33; the simulation module is configured to perform simulations of multiple mode types on the above digital model based on the above application scenario.

[0057] In one implementation, the above application scenario includes: a static working condition scenario and a dynamic working condition scenario; the simulation module is further configured to perform a static simulation on the above digital model based on the above static working condition scenario; and, perform a dynamic simulation on the above digital model based on the above dynamic working condition scenario.

[0058] In one implementation, the to-be-modeled measurement and control device is an industrial robot; the target performance specification attribute parameters are the static performance parameters and dynamic performance parameters of the industrial robot; the modeling module 33 is further configured to perform static digital modeling on the to-be-modeled measurement and control device according to the above static performance parameters and the first target modeling rule corresponding to the static performance parameters, to obtain a static digital model of the to-be-modeled measurement and control device; perform dynamic digital modeling on the to-be-modeled measurement and control device according to the above dynamic performance parameters and the second target modeling rule corresponding to the dynamic performance parameters, to obtain a dynamic digital model of the to-be-modeled measurement and control device; the simulation module is further configured to perform a static simulation on the above static digital model based on the above static working condition scenario; and, perform a dynamic simulation on the above dynamic performance parameters based on the above dynamic working condition scenario.

[0059] In one implementation, the above static performance parameters include: the static stiffness of the joints of the industrial robot, the deformation amount of the joints under a preset load, and the static torque of the motor; the first target modeling rule includes: the topological structure modeling rule of the industrial robot; the above dynamic performance parameters include: the kinematic parameters and control logic of the joints of the industrial robot; the second target modeling rule includes: the dynamic behavior modeling rule of the industrial robot.

[0060] In one of the embodiments, the simulation module is further configured to perform performance evaluation on the simulation results of the multi-mode types based on preset parameter indicators, so as to obtain the performance of the digital model corresponding to the simulation results.

[0061] In one of the embodiments, the simulation module is further configured to obtain the actual operation parameters of the measurement and control device to be modeled; and evaluate the accuracy of the digital model according to the actual operation parameters and the simulation results.

[0062] In one of the embodiments, the query module 32 is further configured to obtain the original performance specification attribute parameters; preprocess the original performance specification attribute parameters to obtain the performance specification attribute parameters; and construct the dictionary database based on the performance specification attribute parameters.

[0063] The digital modeling device of the measurement and control device provided by the embodiment of the present invention has the same technical features as the digital modeling method of the measurement and control device provided by the above embodiment, so it can also solve the same technical problems and achieve the same technical effects. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the foregoing method embodiment, and will not be described in detail here.

[0064] Embodiment 4 Based on the above embodiment, Figure 4 FIG. is a schematic structural diagram of a digital modeling system of a measurement and control device provided by an embodiment of the present invention.

[0065] As Figure 4 seen, the system includes: a workstation device 41 for implementing the digital modeling method of the measurement and control device; a server 42 connected to the workstation device 41 for storing and maintaining the digital model obtained by the workstation device, as well as storing and maintaining the simulation data used by the workstation device and a preset dictionary database; a data acquisition device 43 connected to the workstation device 41 for collecting the device information and application scenarios corresponding to the measurement and control device to be modeled from the actual measurement and control device, and providing the collected device information and application scenarios to the workstation device; wherein, there is a corresponding relationship between the actual measurement and control device and the measurement and control device to be modeled.

[0066] In this embodiment, the workstation device 41 and the server 42, and the workstation device 41 and the data acquisition device 43 are all connected through a high-speed network communication.

[0067] In actual operation, the management module in the above server is used to manage and maintain the above dictionary database to ensure the integrity and consistency of the dictionary database. It provides functions such as querying, updating, and version management of the dictionary database, facilitating users to quickly obtain and use relevant attribute information during digital modeling and simulation processes.

[0068] The above device provides unified attribute definitions and modeling rules for measurement and control equipment through the above dictionary database, ensuring the interoperability and reusability of digital models from different manufacturers and research institutions. Moreover, the standardized attributes of the dictionary database can provide clear guidance for the modeling process, reducing compatibility issues caused by differences in modeling methods.

[0069] For ease of understanding, the present application provides an operation mode of the following system: First, before the simulation operation of the digital model starts, the server 42 extracts performance specification attribute parameters related to the measurement and control equipment to be modeled from the dictionary database. These performance specification attribute parameters are the basic data for subsequent simulation operations. Then, if the measurement and control equipment to be modeled is an industrial robot, the server 42 obtains performance specification attribute parameters such as the motion range, load capacity, and motor torque of the industrial robot joints from the dictionary database. These performance specification attribute parameters will be used to construct the digital model of the robot, providing an accurate physical and behavioral characteristic description for the simulation.

[0070] Among them, the performance specification attribute parameters include physical model parameters and behavioral model parameters, etc.

[0071] Furthermore, the physical model parameters are the motion range, load capacity, and motor torque of the above industrial robot joints, etc.; the behavioral model parameters are joint motion speed, acceleration, and control logic.

[0072] Here, these performance specification attribute parameters are stored in the database of the server and marked as "simulation available" for the workstation to call at any time.

[0073] Specifically, the workstation device 41 is used to perform specific digital modeling and simulation operations on the above measurement and control equipment to be modeled. During the simulation process, the workstation device 41 obtains the required digital model and performance specification attribute parameters from the server. For example, during the dynamic simulation of an industrial robot, the workstation device sets the simulation scenario according to the robot digital model and performance specification attribute parameters obtained from the server 42, such as the motion trajectory planning of the robot under different loads. The workstation device 41 simulates the dynamic behavior of the robot in the actual working environment through running simulation software, such as the motion speed, acceleration of the joints, and the interaction with the surrounding environment. After the simulation is completed, the workstation device 41 uploads the simulation results to the server for storage and analysis. After the workstation device obtains the above parameters from the server 42, it starts the simulation software, such as MATLAB or Simulink.

[0074] Here, the above-mentioned workstation device 41 is a computer.

[0075] The digital modeling system of the measurement and control device provided by the embodiment of the present invention includes: a workstation device for implementing the digital modeling method of the above-mentioned measurement and control device; a server connected to the above-mentioned workstation device for storing and maintaining the digital model obtained by the above-mentioned workstation device, as well as storing and maintaining the simulation data used by the above-mentioned workstation device and a preset dictionary database; a data acquisition device connected to the above-mentioned workstation device for collecting the device information and application scenarios corresponding to the to-be-modeled measurement and control device from the actual measurement and control device, and providing the collected device information and application scenarios to the above-mentioned workstation device; wherein, there is a corresponding relationship between the above-mentioned actual measurement and control device and the to-be-modeled measurement and control device. The digital modeling system of the measurement and control device provided by the embodiment of the present invention realizes automatic information collection from the actual measurement and control device, accurate digital modeling and multi-mode simulation through the collaborative work of the workstation device, the server and the data acquisition device, improves the modeling efficiency and simulation accuracy, and at the same time ensures the effective storage and maintenance of the model and data.

Claims

1. A digital modeling method for measurement and control equipment, characterized in that: include: Obtain the device information and application scenarios of the measurement and control equipment to be modeled; According to the device information and the application scenario, searching for target performance specification attribute parameters and target modeling rules matching the device information from a preset dictionary database; the dictionary database includes performance specification attribute parameters and modeling rules of multiple measurement and control devices; the multiple measurement and control devices include the measurement and control device to be modeled; According to the target performance specification attribute parameters and the target modeling rules, the measurement and control equipment to be modeled is digitally modeled to obtain a digital model of the measurement and control equipment to be modeled.

2. The digital modeling method of the measurement and control equipment according to claim 1, characterized in that: After the step of digitally modeling the measurement and control equipment to be modeled according to the target performance specification attribute parameters and the target modeling rules to obtain a digital model of the measurement and control equipment to be modeled, the method comprises: Based on the application scenario, a multi-mode simulation is performed on the digital model.

3. The digital modeling method of the measurement and control equipment according to claim 2, characterized in that: The application scenarios include: static working condition scenarios and dynamic working condition scenarios; Based on the application scenario, the step of performing multi-mode simulation on the digital model includes: Based on the static working condition scenario, static simulation is performed on the digital model; and based on the dynamic working condition scenario, dynamic simulation is performed on the digital model.

4. The digital modeling method of the measurement and control equipment according to claim 3 is characterized in that: The measurement and control device to be modeled is an industrial robot; the target performance specification attribute parameters are static performance parameters and dynamic performance parameters of the industrial robot; The step of digitally modeling the measurement and control equipment to be modeled according to the target performance specification attribute parameters and the target modeling rules to obtain a digital model of the measurement and control equipment to be modeled includes: According to the static performance parameters and the first target modeling rules corresponding to the static performance parameters, static digital modeling is performed on the measurement and control equipment to be modeled to obtain a static digital model of the measurement and control equipment to be modeled; according to the dynamic performance parameters and the second target modeling rules corresponding to the dynamic performance parameters, dynamic digital modeling is performed on the measurement and control equipment to be modeled to obtain a dynamic digital model of the measurement and control equipment to be modeled; The steps of performing static simulation on the digital model based on the static working condition scenario; and performing dynamic simulation on the digital model based on the dynamic working condition scenario include: Based on the static operating scenario, static simulation is performed on the static digital model; and based on the dynamic operating scenario, dynamic simulation is performed on the dynamic performance parameters.

5. The digital modeling method of the measurement and control equipment according to claim 4, characterized in that: The static performance parameters include: the static stiffness of the industrial robot joint, the deformation of the joint under a preset load, and the static torque of the motor; the first target modeling rules include: the topological structure modeling rules of the industrial robot; the dynamic performance parameters include: the kinematic parameters and control logic of the industrial robot joint; the second target modeling rules include: the dynamic behavior modeling rules of the industrial robot.

6. The digital modeling method of the measurement and control equipment according to claim 4, characterized in that: Based on the static working condition scenario, statically simulating the digital model; After the step of dynamically simulating the digital model based on the dynamic operating scenario, the method further includes: The performance of the simulation results of the multi-mode type is evaluated based on preset parameter indicators to obtain the performance of the digital model corresponding to the simulation results.

7. The digital modeling method of the measurement and control equipment according to claim 6, characterized in that: After the step of performing performance evaluation on the simulation results of the multi-mode type based on preset parameter indicators to obtain the performance of the digital model corresponding to the simulation results, the method further includes: Obtaining actual operating parameters of the measurement and control equipment to be modeled; The accuracy of the digital model is evaluated based on the actual operating parameters and the simulation results.

8. The digital modeling method of the measurement and control equipment according to claim 1, characterized in that: Before the step of searching a preset dictionary database for target performance specification attribute parameters matching the device information according to the device information and the application scenario, the method includes: Get original performance specification attribute parameters; Preprocessing the original performance specification attribute parameters to obtain the performance specification attribute parameters; Based on the performance specification attribute parameters, the dictionary database is constructed.

9. A digital modeling device for measurement and control equipment, characterized in that: include: A data acquisition module is used to obtain device information and application scenarios of the measurement and control equipment to be modeled; A query module, used to search for target performance specification attribute parameters and target modeling rules matching the device information from a preset dictionary database according to the device information and the application scenario; the dictionary database includes performance specification attribute parameters and modeling rules of multiple measurement and control devices; the multiple measurement and control devices include the measurement and control device to be modeled; The modeling module is used to digitally model the measurement and control equipment to be modeled according to the target performance specification attribute parameters and the target modeling rules to obtain a digital model of the measurement and control equipment to be modeled.

10. A digital modeling system for measurement and control equipment, characterized in that: include: Workstation equipment, used to implement the digital modeling method of the measurement and control equipment according to any one of claims 1 to 8; A server connected to the workstation device, used to store and maintain the digital model obtained by the workstation device, and store and maintain the simulation data used by the workstation device and a preset dictionary database; A data acquisition device connected to the workstation device is used to collect device information and application scenarios corresponding to the measurement and control device to be modeled from the actual measurement and control device, and provide the collected device information and application scenarios to the workstation device; wherein the actual measurement and control device has a corresponding relationship with the measurement and control device to be modeled.

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