Measurement and control equipment training method and system based on digital twin model

Abstract

The invention discloses a measurement and control equipment training method and system based on a digital twinning model, and relates to the technical field of digital twinning. The method comprises the following steps: acquiring training environment data, and physical attributes and motion characteristic data of measurement and control equipment; constructing a measurement and control equipment information base according to the physical attributes and the motion characteristic data; performing compliance screening based on the measurement and control equipment information base, and performing remote analog simulation and training by using the screened data and the training environment data to obtain a digital twinborn model of the measurement and control equipment and the working environment; the digital twinborn model is used for implementing the trial training content at the current moment, the digital twinborn model at the previous moment is dynamically updated according to the trial training content at the next moment, and the execution process of the measurement and control equipment according to the time sequence change is obtained. According to the invention, immersive training of virtual-real interaction between the model and real equipment can be realized based on model simulation training, so that the relevance and the application capability of measurement and control equipment training are improved.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and in particular to a measurement and control equipment training method and system based on a digital twin model. Background Art

[0002] Traditional measurement and control equipment training methods mainly adopt the "three-step method" of theory, virtual and actual installation. Theoretical training mainly adopts two-dimensional drawings or electronic teaching materials, which have shortcomings such as scattered and boring knowledge and obscure principles; simulation training mostly adopts simulation equipment training, which has problems such as unrealistic simulation of target characteristics and environmental characteristics and weak experience; actual installation training adopts the installation of simulated targets on actual equipment and completes target tracking training in the actual working environment of the equipment, which has shortcomings such as difficulty in function optimization and improvement and high consumption. Therefore, the current measurement and control equipment training has problems of weak relevance and applicability. Summary of the invention

[0003] The purpose of the present invention is to provide a measurement and control equipment training method and system based on a digital twin model, which can realize immersive training of virtual-reality interaction between the model and the real equipment based on model simulation training, thereby improving the relevance and application ability of measurement and control equipment training.

[0004] To achieve the above object, the present invention provides the following solutions: A measurement and control equipment training method based on a digital twin model, comprising: Obtain training environment data, physical properties and motion characteristics data of measurement and control equipment; Constructing a measurement and control equipment information library according to the physical properties and the motion characteristic data; Compliance screening is performed based on the measurement and control equipment information library, and remote simulation and training are performed using the screened data and the training environment data to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model, and a mapping model based on geophysical space; wherein the target model includes a track model and an error model; The digital twin model is used to implement the trial training content at the current moment, and the digital twin model at the previous moment is dynamically updated according to the trial training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time sequence changes.

[0005] Optionally, the remote simulation process of the digital twin model is: Perform compliance screening on the training environment data, the physical properties of the measurement and control equipment, and the motion characteristic data according to the current trial training content to obtain screened valid data; Constructing a three-dimensional data model according to the valid data of the training environment data and the valid data of the physical properties; the three-dimensional data model is used to describe the target model and the equipment model; Performing correlation analysis on the valid data of the training environment data, the valid data of the physical attributes and the valid data of the motion characteristic data, and constructing an operation logic model according to the correlation information between the actual motion form of the measurement and control equipment and the three-dimensional components; the operation logic model is used to describe the behavior rule model and the mapping model based on the geophysical space; The operating logic model is used to render the characteristics of the three-dimensional data model, and a digital twin model of the measurement and control equipment and the working environment is constructed.

[0006] Optionally, the compliance screening processing method is a numerical resampling algorithm or an outlier dynamic screening algorithm.

[0007] Optionally, the training process of the digital twin model is: Acquire training data; the training data includes a test training target and a corresponding test training result; Construct a pre-trained model of the measurement and control equipment and the working environment, input the training data into the pre-trained model, perform training with the goal of minimizing the loss between the result output by the pre-trained model and the trial training result, and determine the trained model as the digital twin model of the measurement and control equipment and the working environment.

[0008] Optionally, the loss function used in the training is RMSE loss and MAE loss.

[0009] Optionally, the process of implementing the trial training content at the current moment using the digital twin model is: According to the control script preset in the trial training content, determine whether the motion control instruction parameters are empty or 0, and drive the digital twin model to perform corresponding actions according to the motion control instruction parameters that are not empty or 0, so as to complete the implementation of the trial training content at the current moment.

[0010] Optionally, it also includes: building a data monitoring interface for visually displaying the execution process of the measurement and control equipment, and using a data visualization tool to dynamically display it on the data monitoring interface.

[0011] The present invention also provides a measurement and control equipment training system based on a digital twin model, comprising: Data acquisition unit, used to obtain training environment data, physical properties and motion characteristics data of measurement and control equipment; An information base construction unit, used to construct a measurement and control equipment information base according to the physical properties and the motion characteristic data; A digital twin model construction unit is used to perform compliance screening based on the measurement and control equipment information library, and use the screened data and the training environment data to perform remote simulation and training to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model, and a mapping model based on geophysical space; wherein the target model includes a track model and an error model; The measurement and control equipment training unit is used to use the digital twin model to implement the trial training content at the current moment, and dynamically update the digital twin model at the previous moment according to the trial training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time sequence changes.

[0012] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: The present invention discloses a method and system for measuring and controlling equipment training based on a digital twin model, the method comprising obtaining training environment data, physical properties and motion characteristic data of measuring and controlling equipment; constructing a measuring and controlling equipment information library according to the physical properties and the motion characteristic data; performing compliance screening based on the measuring and controlling equipment information library, and performing remote simulation and training using the screened data and the training environment data to obtain a digital twin model of the measuring and controlling equipment and the working environment; implementing the trial training content at the current moment using the digital twin model, and dynamically updating the digital twin model at the previous moment according to the trial training content at the next moment, and obtaining the measuring and controlling equipment execution process according to the time sequence change. The present invention can realize immersive training of virtual-real interaction between the model and the real equipment based on model simulation training, thereby improving the relevance and application ability of measuring and controlling equipment training. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0014] Figure 1 It is a flow chart of the measurement and control equipment training method based on the digital twin model of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] The purpose of the present invention is to provide a measurement and control equipment training method and system based on a digital twin model, which can realize immersive training of virtual-reality interaction between the model and the real equipment based on model simulation training, thereby improving the relevance and application ability of measurement and control equipment training.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] like Figure 1 As shown, as a first aspect, the present invention provides a measurement and control equipment training method based on a digital twin model, comprising: Step 100: Acquire training environment data, physical properties of measurement and control equipment, and motion characteristic data.

[0019] Step 200: Construct a measurement and control equipment information library based on the physical properties and the motion characteristic data.

[0020] Step 300: Compliance screening is performed based on the measurement and control equipment information library, and remote simulation and training are performed using the screened data and the training environment data to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model, and a mapping model based on geophysical space; wherein the target model includes a track model and an error model.

[0021] Step 400: Utilize the digital twin model to implement the test training content at the current moment, and dynamically update the digital twin model at the previous moment according to the test training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time sequence changes.

[0022] As a specific implementation method, the remote simulation process of the digital twin model is: According to the current trial training content, the training environment data, the physical properties of the measurement and control equipment and the motion characteristic data are screened for compliance to obtain screened valid data. The processing method for the compliance screening is a numerical resampling algorithm or an outlier dynamic screening algorithm.

[0023] A three-dimensional data model is constructed according to the valid data of the training environment data and the valid data of the physical properties; the three-dimensional data model is used to describe the target model and the equipment model.

[0024] The valid data of the training environment data, the valid data of the physical properties and the valid data of the motion characteristic data are correlated and analyzed, and an operation logic model is constructed based on the actual motion form of the measurement and control equipment and the correlation information between the three-dimensional components; the operation logic model is used to describe the behavior rule model and the mapping model based on the geophysical space.

[0025] The operating logic model is used to render the characteristics of the three-dimensional data model, and a digital twin model of the measurement and control equipment and the working environment is constructed.

[0026] As a specific implementation, the training process of the digital twin model is: Acquire training data; the training data includes a test training target and a corresponding test training result.

[0027] Construct a pre-trained model of the measurement and control equipment and the working environment, input the training data into the pre-trained model, train with the goal of minimizing the loss between the result output by the pre-trained model and the trial training result, and determine the trained model as the digital twin model of the measurement and control equipment and the working environment. The loss function used in the training is RMSE loss and MAE loss.

[0028] As a specific implementation method, the process of implementing the trial training content at the current moment using the digital twin model is as follows: According to the control script preset in the trial training content, determine whether the motion control instruction parameters are empty or 0, and drive the digital twin model to perform corresponding actions according to the motion control instruction parameters that are not empty or 0, so as to complete the implementation of the trial training content at the current moment.

[0029] In addition, after obtaining the execution process of the measurement and control equipment according to the time sequence changes, it also includes: building a data monitoring interface for visually displaying the execution process of the measurement and control equipment, and using a data visualization tool to dynamically display it on the data monitoring interface.

[0030] Based on the above technical solution, the following embodiments are provided.

[0031] In this embodiment, a method for training measurement and control equipment based on a digital twin model is provided. The method realizes remote simulation and training by constructing a digital twin model of the measurement and control equipment, thereby improving the operating efficiency and accuracy of the measurement and control equipment. The specific processing flow of each step is as follows: Step 100: Acquire training environment data, physical properties of measurement and control equipment, and motion characteristic data.

[0032] First, the training environment data is obtained from multiple data sources, including terrain, climate, electromagnetic environment, etc. At the same time, the physical property data of the measurement and control equipment, such as size, weight, material, etc., as well as the motion characteristic data, such as speed, acceleration, steering ability, etc., are collected.

[0033] Step 200: Build a measurement and control equipment information database.

[0034] According to the data collected in step 100, a measurement and control equipment information library is constructed. The information library includes detailed information such as the physical properties, motion characteristics, and usage environment of the equipment, providing basic data for the subsequent construction of the digital twin model.

[0035] Step 300: Remote simulation and training to build a digital twin model.

[0036] Compliance screening: Use numerical resampling algorithms or outlier dynamic screening algorithms to perform compliance screening on training environment data, physical properties, and motion characteristics data to ensure data accuracy and validity.

[0037] Construct a three-dimensional data model: Based on the filtered valid data, construct a three-dimensional data model that describes the target model and equipment model.

[0038] Constructing an operation logic model: Conduct correlation analysis on training environment data, physical attributes and motion characteristics data, and construct an operation logic model by combining the actual motion form of the measurement and control equipment with the correlation information between three-dimensional components. This model is used to describe the behavior rule model and the mapping model based on geophysical space.

[0039] Feature rendering: Use the operation logic model to render the 3D data model and build a digital twin model of the measurement and control equipment and working environment. The model includes the target model (including the track model and error model), the equipment model, the behavior rule model, and the mapping model based on the geophysical space.

[0040] Step 400: Dynamically update the digital twin model and implement the trial training content.

[0041] Dynamic update: According to the training content at the next moment, the digital twin model of the previous moment is dynamically updated to obtain the execution process of the measurement and control equipment according to the time series changes.

[0042] Implement the trial training content: According to the control script preset in the trial training content, determine whether the motion control instruction parameters are empty or 0. For instruction parameters that are not empty or 0, drive the digital twin model to perform the corresponding actions to complete the trial training content at the current moment.

[0043] Step 500: Visually display the execution process of the measurement and control equipment.

[0044] Build a data monitoring interface and use data visualization tools to dynamically display the execution process of measurement and control equipment on the interface. This helps to monitor the progress and effect of training in real time and improve training efficiency.

[0045] Among them, for the model training process, after building the digital twin model, training is still required to optimize the model performance. The specific training process is as follows: Obtain training data: including training objectives and corresponding training results.

[0046] Build a pre-trained model: Build a pre-trained model based on the initial data of the measurement and control equipment and working environment.

[0047] Model training: Input the training data into the pre-trained model, and train with the goal of minimizing the loss between the model output and the trial training results. The loss functions used in training are RMSE loss and MAE loss to comprehensively measure the prediction accuracy and robustness of the model.

[0048] Output digital twin model: The trained model is determined as the digital twin model of the measurement and control equipment and working environment.

[0049] Therefore, through the digital twin model-based measurement and control equipment training method and system provided by the present invention, remote simulation and training of measurement and control equipment can be realized, and operational efficiency and accuracy can be improved. At the same time, by dynamically updating the digital twin model and visually displaying the execution process of the measurement and control equipment, the training progress and effect can be monitored in real time, further improving the training quality.

[0050] As a second aspect, the present invention also provides a measurement and control equipment training system based on a digital twin model, comprising: a data acquisition unit, an information database construction unit, a digital twin model construction unit and a measurement and control equipment training unit.

[0051] Among them, the data acquisition unit is used to obtain training environment data, physical properties and motion characteristics data of measurement and control equipment; the information database construction unit is used to construct a measurement and control equipment information database based on the physical properties and the motion characteristics data; the digital twin model construction unit is used to perform compliance screening based on the measurement and control equipment information database, and use the screened data and the training environment data to perform remote simulation and training to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model and a mapping model based on geophysical space; wherein the target model includes a track model and an error model; the measurement and control equipment training unit is used to use the digital twin model to implement the trial training content at the current moment, and dynamically update the digital twin model at the previous moment according to the trial training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time series changes.

[0052] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0053] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A measurement and control equipment training method based on a digital twin model, characterized in that: include: Obtain training environment data, physical properties and motion characteristics data of measurement and control equipment; Constructing a measurement and control equipment information library according to the physical properties and the motion characteristic data; Compliance screening is performed based on the measurement and control equipment information library, and remote simulation and training are performed using the screened data and the training environment data to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model, and a mapping model based on geophysical space; wherein the target model includes a track model and an error model; The digital twin model is used to implement the test training content at the current moment, and the digital twin model at the previous moment is dynamically updated according to the test training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time sequence changes; The remote simulation process of the digital twin model is as follows: Perform compliance screening on the training environment data, the physical properties of the measurement and control equipment, and the motion characteristic data according to the current trial training content to obtain screened valid data; Constructing a three-dimensional data model according to the valid data of the training environment data and the valid data of the physical properties; the three-dimensional data model is used to describe the target model and the equipment model; Performing correlation analysis on the valid data of the training environment data, the valid data of the physical attributes and the valid data of the motion characteristic data, and constructing an operation logic model according to the correlation information between the actual motion form of the measurement and control equipment and the three-dimensional components; the operation logic model is used to describe the behavior rule model and the mapping model based on the geophysical space; The operating logic model is used to render the characteristics of the three-dimensional data model, and a digital twin model of the measurement and control equipment and the working environment is constructed.

2. The measurement and control equipment training method based on the digital twin model according to claim 1 is characterized in that: The compliance screening processing method is a numerical resampling algorithm or an outlier dynamic screening algorithm.

3. The measurement and control equipment training method based on the digital twin model according to claim 1 is characterized in that: The training process of the digital twin model is as follows: Acquire training data; the training data includes a test training target and a corresponding test training result; Construct a pre-trained model of the measurement and control equipment and the working environment, input the training data into the pre-trained model, perform training with the goal of minimizing the loss between the result output by the pre-trained model and the trial training result, and determine the trained model as the digital twin model of the measurement and control equipment and the working environment.

4. The measurement and control equipment training method based on the digital twin model according to claim 3 is characterized in that: The loss functions used in the training are RMSE loss and MAE loss.

5. The measurement and control equipment training method based on the digital twin model according to claim 1 is characterized in that: The process of implementing the current trial training content using the digital twin model is as follows: According to the control script preset in the trial training content, determine whether the motion control instruction parameters are empty or 0, and drive the digital twin model to perform corresponding actions according to the motion control instruction parameters that are not empty or 0, so as to complete the implementation of the trial training content at the current moment.

6. The measurement and control equipment training method based on the digital twin model according to claim 1 is characterized in that: Also includes: A data monitoring interface is constructed to visualize the execution process of the measurement and control equipment, and a data visualization tool is used to dynamically display it on the data monitoring interface.

7. A measurement and control equipment training system based on a digital twin model, used to apply the method according to any one of claims 1 to 6, characterized in that: include: Data acquisition unit, used to obtain training environment data, physical properties and motion characteristics data of measurement and control equipment; An information base construction unit, used to construct a measurement and control equipment information base according to the physical properties and the motion characteristic data; A digital twin model construction unit is used to perform compliance screening based on the measurement and control equipment information library, and use the screened data and the training environment data to perform remote simulation and training to obtain a digital twin model of the measurement and control equipment and the working environment; the digital twin model includes a target model, an equipment model, a behavior rule model, and a mapping model based on geophysical space; wherein the target model includes a track model and an error model; The measurement and control equipment training unit is used to use the digital twin model to implement the trial training content at the current moment, and dynamically update the digital twin model at the previous moment according to the trial training content at the next moment, so as to obtain the execution process of the measurement and control equipment according to the time sequence changes.

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