Three-dimensional field model reduction system for digital twins

Abstract

The present invention relates to the field of data processing technology, and in particular to a three-dimensional field model reduction system for digital twins, comprising an acquisition module, a judgment module, a first screening module, a second screening module, a determination module, a simulation module, a reduction module, and an adjustment module. The present invention achieves an optimal balance between computational efficiency and data accuracy through multi-level screening and reduction processing. By adopting the method of temperature-pressure synchronous screening and temperature-response joint screening, key areas can be accurately identified, redundant calculations can be reduced, and a dynamic adjustment mechanism based on a simulation index is introduced so that the screening threshold can be adaptively optimized according to actual working conditions. The reduction module combines a preset three-dimensional field reduction model to reduce the data dimension while retaining key feature information, effectively solving the problems of low reduction accuracy and complex dynamic scene processing speed caused by over-reliance on finite element software for simulation and the use of SVD method for reduction.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a three-dimensional field model reduction system for digital twins. Background Art

[0002] In industrial areas, equipment status monitoring and fault prediction are crucial for improving production efficiency and ensuring safety. With the increasing number of industrial equipment and the increasing complexity of operating environments, traditional digital twin models and simulation methods face challenges with heavy computational burdens, unstable accuracy, and poor real-time performance when processing large-scale, high-dimensional dynamic data. To meet the demands for efficient monitoring and accurate prediction of industrial equipment, achieving efficient model reduction while maintaining high accuracy has become a key technical challenge in improving the effectiveness of digital twin systems.

[0003] The patent document with publication number CN118747457A discloses a method for constructing a digital twin dynamic mechanics simulation model based on a reduced-order model. The method includes the following steps: Step 1: Select design parameters, construct design space, and obtain data sets: Generate several parameter points using the parameter point setting method, and use finite element software for simulation to obtain the required data result set; Step 2: Split the data set: Split all data sets into a construction set and a verification set according to the set ratio; Step 3: SVD method order reduction: For the parameters and result sets in the construction set, the SVD method is used to reduce the large amount of data to the product of a small number of orders of basis functions and coefficient matrices; Step 4: Relationship between training parameters and SVD coefficient matrix System: Use genetic clustering algorithm to construct an effective combination of polynomial regression model, Kringing model, support vector regression model, moving least squares model and artificial neural network model to obtain the relationship model between parameters and coefficients; Step 5: Construct a reduced-order model: The reduced-order model includes the relationship model and SVD basis function trained in step 4, and encapsulates it so that the input is the parameter and the output is the response; Step 6: Verify whether the requirements are met: The error is defined as the relative error, that is, for each column of data Xref in the verification set, the corresponding reduced-order response Xinter is calculated, and the error is: If the requirements are met, end, otherwise the columns that fail the verification are added to the construction set and the reduced-order model is rebuilt until the accuracy requirements are met.

[0004] It can be seen that the method for constructing a digital twin dynamic mechanical simulation model based on a reduced-order model has the following problems: this method splits the data set into a construction set and a verification set, and has poor pertinence in processing data imbalance or large differences in data characteristics, resulting in poor generalization ability of the model under certain specific conditions; this method over-relies on finite element software for simulation, and has problems such as high computational overhead and long calculation time, which limits the application of this method in large-scale or real-time systems; using the SVD method to reduce the order of data will lead to information loss, especially when the data complexity is high, the reduced-order model may not be able to fully express the dynamic behavior of the system; this method mainly focuses on the construction of the relationship between parameters and model responses, and does not involve the impact of external disturbances or environmental factors on the system, which affects the actual application effect of the model; the reduced-order model of this method does not take into account the dynamic adjustment needs of the system over time or changes in external conditions during the construction process, resulting in the model being unable to cope with changes in real-time data. Summary of the Invention

[0005] To this end, the present invention provides a three-dimensional field model reduction system for digital twins, which is used to overcome the problems of low reduction accuracy and complex dynamic scene processing speed in the existing technology due to over-reliance on finite element software for simulation and the use of SVD method for reduction by combining principal component analysis and deep autoencoder technology.

[0006] To achieve the above objectives, the present invention provides a three-dimensional field model reduction system for digital twins, comprising:

[0007] The acquisition module is used to collect the temperature, stress and pressure of each equipment area in the industrial area in real time;

[0008] a determination module connected to the acquisition module and configured to determine a plurality of stress-stressed areas according to the stress and the pressure;

[0009] a first screening module, connected to the acquisition module, for screening out a plurality of temperature and pressure regions according to the temperature, the pressure, and a preset temperature and pressure synchronization threshold;

[0010] a second screening module, connected to the acquisition module and the first screening module, respectively, for screening out a plurality of temperature-stress regions according to the temperature and the stress in each temperature-stress region;

[0011] a determination module, connected to the determination module and the second screening module, respectively, for determining a plurality of degraded regions and a plurality of non-degraded regions based on all the temperature response regions and the pressure response regions within a preset determination time period and a preset overlap threshold;

[0012] A simulation module connected to the acquisition module, configured to calculate a simulation index based on a preset simulation model and acquisition results of all the device areas;

[0013] an order reduction module, connected to the acquisition module and the determination module respectively, for reducing the acquisition results of the reduced-order area by using a preset three-dimensional field order reduction model to obtain reduced-order twin data;

[0014] An adjustment module is respectively connected to the reduction module, the acquisition module, the determination module, the first screening module and the simulation module, and is used to adjust the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the simulation index, the reduced-order twin data and the acquisition results of the non-reduced-order area.

[0015] Furthermore, the determination module includes:

[0016] A stress fluctuation determination calculation unit is used to calculate the standard deviation of all stresses within a preset determination time period to form a stress fluctuation determination value;

[0017] a pressure fluctuation determination calculation unit, configured to calculate a standard deviation of all the pressures within the preset determination time period to form a pressure fluctuation determination value;

[0018] A determination unit is connected to the stress fluctuation determination calculation unit and the pressure fluctuation determination calculation unit respectively, and is used to determine a plurality of stress stress areas according to the stress fluctuation value and the pressure fluctuation value.

[0019] Furthermore, the determination unit includes:

[0020] a normalization subunit, configured to perform normalization processing on the determined stress fluctuation value to form a stress normalized fluctuation value, and to perform normalization processing on the determined pressure fluctuation value to form a pressure normalized fluctuation value;

[0021] a stress-pressure synchronization calculation subunit, connected to the normalization subunit, for calculating a correlation coefficient between the stress normalized fluctuation value and the pressure normalized fluctuation value to form a stress-pressure synchronization;

[0022] The determination subunit is connected to the pressure response synchronization degree calculation subunit, and is used to determine that the device area is the pressure response area when the pressure response synchronization degree is greater than a preset standard pressure response synchronization threshold, thereby forming a plurality of pressure response areas.

[0023] Furthermore, the first screening module includes:

[0024] a first temperature fluctuation calculation unit, configured to calculate a standard deviation of all the temperatures within a preset first screening time period to form a first temperature fluctuation value;

[0025] a first pressure fluctuation calculation unit, configured to calculate a standard deviation of all the pressures within the preset first screening time period to form a first pressure fluctuation value;

[0026] The first screening unit is connected to the first temperature fluctuation calculation unit and the first pressure fluctuation calculation unit respectively, and is used to screen out a plurality of temperature and pressure areas according to the first temperature fluctuation value, the first pressure fluctuation value and the preset temperature and pressure synchronization threshold.

[0027] Furthermore, the first screening unit includes:

[0028] a temperature curve drawing subunit, configured to draw a change curve of the first temperature fluctuation value within the preset first screening time period to form a temperature curve;

[0029] a pressure curve drawing subunit, configured to draw a change curve of the first pressure fluctuation value within the preset first screening time period to form a pressure curve;

[0030] a temperature-pressure synchronization calculation subunit, connected to the temperature curve drawing subunit and the pressure curve drawing subunit respectively, for calculating the cosine similarity of the temperature curve and the pressure curve to form the temperature-pressure synchronization;

[0031] The first screening subunit is connected to the temperature-pressure synchronization degree calculation subunit, and is used to determine that the device area is the temperature-pressure area when the temperature-pressure synchronization degree is greater than the preset temperature-pressure synchronization threshold, so as to screen out several temperature-pressure areas.

[0032] Furthermore, the second screening module includes:

[0033] a temperature change rate calculation unit, configured to calculate the difference between two temperatures at any adjacent moments within a preset second screening time period to form a plurality of temperature change rates;

[0034] a stress change rate calculation unit, configured to calculate the difference between two stresses at any adjacent moments within the preset second screening time period to form a plurality of stress change rates;

[0035] The second screening unit is connected to the temperature change rate calculation unit and the stress change rate calculation unit respectively, and is used to screen out a plurality of temperature-responsive regions according to the temperature change rate and the stress change rate.

[0036] Furthermore, the second screening unit includes:

[0037] a temperature change curve generating subunit, configured to generate a change curve of the temperature change rate within the preset second screening time period to form a temperature change curve;

[0038] A stress change curve generating subunit is used to generate a stress change curve of the stress change rate within the preset second screening time period to form a stress change curve;

[0039] a temperature-stress synchronization calculation subunit, connected to the temperature change curve generation subunit and the stress change curve generation subunit, respectively, for calculating the cosine similarity of the temperature change curve and the stress change curve to form the temperature-stress synchronization;

[0040] The second screening subunit is connected to the temperature response synchronization calculation subunit and is used to determine that the temperature-pressure area is the temperature response area when the temperature response synchronization is greater than a preset temperature response synchronization threshold, thereby forming a plurality of temperature response areas.

[0041] Furthermore, the determining module includes:

[0042] a temperature response overlap selection unit, for comparing all the temperature response regions and selecting repeated temperature response regions to form a plurality of temperature response overlap regions;

[0043] a pressure coincidence selection unit for comparing all the pressure response areas and selecting repeated pressure response areas to form a plurality of pressure coincidence areas;

[0044] a total overlap selection unit, connected to the temperature-response overlap selection unit and the pressure-response overlap selection unit, respectively, for comparing the temperature-response overlap area and the pressure-response overlap area and selecting the same equipment area to form a plurality of total overlap areas;

[0045] an overlap rate calculation unit connected to the total overlap selection unit, for calculating the number of the total weight regions and the ratio of the sum of all the temperature-resistance regions to all the pressure-resistance regions to form an overlap rate;

[0046] A determination unit is connected to the overlap rate calculation unit, and is used to determine that the total weight area is the downgraded area when the overlap rate is greater than the preset overlap threshold, forming a plurality of downgraded areas, and to determine that all the equipment areas other than the downgraded area in the industrial area are the non-downgraded areas, forming a plurality of non-downgraded areas.

[0047] Furthermore, the adjustment module includes:

[0048] a reduced-order simulation unit, configured to input the reduced-order twin data, the temperature, the pressure, and the stress of the non-reduced-order region into the preset simulation model to simulate and obtain a reduced-order index;

[0049] an index deviation calculation unit, connected to the reduced-order simulation unit, for calculating a relative deviation between the simulation index and the reduced-order index to form an index deviation;

[0050] An adjustment unit is connected to the index deviation calculation unit and is used to adjust the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the index deviation.

[0051] Furthermore, the adjustment unit includes:

[0052] a first adjustment subunit, configured to increase the preset temperature-pressure synchronization threshold according to a relative deviation between the index deviation and the preset index deviation threshold and a preset first adjustment coefficient when the index deviation is greater than a preset index deviation threshold;

[0053] a deviation fluctuation calculation subunit, configured to calculate a standard deviation of the index deviation within a preset adjustment period when the index deviation is less than or equal to the preset index deviation threshold, to form an index deviation fluctuation value;

[0054] A second adjustment subunit is connected to the deviation fluctuation calculation subunit and is used to reduce the preset overlap threshold value according to the relative deviation between the exponential deviation fluctuation value and the preset deviation fluctuation threshold value and a preset second adjustment coefficient when the exponential deviation fluctuation value is greater than the preset deviation fluctuation threshold value.

[0055] Compared with the prior art, the beneficial effect of the present invention is that, through multi-level screening and order reduction processing, an optimal balance between computational efficiency and data accuracy is achieved. The use of temperature-pressure simultaneous screening and temperature-response joint screening can accurately identify key areas and reduce redundant calculations. At the same time, a dynamic adjustment mechanism based on the simulation index is introduced so that the screening threshold can be adaptively optimized according to the actual working conditions, thereby improving the robustness and intelligence of the system. The order reduction module is combined with a preset three-dimensional field order reduction model to reduce the data dimension while retaining key feature information, thereby improving the simulation calculation speed and reducing storage requirements. In addition, the closed-loop optimization capability of the system ensures that the reduced-order data can be fed back and adjusted in real time, so that the digital twin model can still maintain efficient and accurate operation in a complex industrial environment, effectively solving the problems of low order reduction accuracy and complex dynamic scene processing speed caused by over-reliance on finite element software for simulation and the use of SVD method for order reduction.

[0056] Furthermore, by calculating the standard deviation of stress and pressure to quantify the degree of data fluctuation, the stress and pressure area is determined, ensuring the scientificity and accuracy of the determination results from the data level. The fluctuation values ​​of stress and pressure can reflect the dynamic load state within the equipment area. Larger fluctuation values ​​usually mean that the area is more affected by external factors or has strong periodic changes, while smaller fluctuation values ​​indicate that the area is relatively stable. By setting a reasonable fluctuation threshold, the system can effectively distinguish areas where fatigue accumulation, stress concentration or abnormal pressure changes may exist, providing a reliable basis for subsequent reduced-order modeling and optimization. Compared with relying solely on instantaneous data, the use of standard deviation calculation enhances the ability to capture long-term trends and instantaneous fluctuations, improves the accuracy of abnormal area screening, thereby reducing misjudgments, optimizing resource scheduling, and improving the monitoring quality and response efficiency of the overall system.

[0057] Furthermore, through normalization processing, stress fluctuation values ​​and pressure fluctuation values ​​of different dimensions can be compared on the same scale, avoiding calculation deviations caused by different data numerical ranges. At the same time, the concept of stress-pressure synchronization is introduced, and the synchronization relationship between stress and pressure fluctuations is quantified by calculating the correlation coefficient, which can more accurately determine whether there is a significant stress-pressure coupling effect in the equipment area. The method of setting a standard stress-pressure synchronization threshold ensures that the screened stress-pressure area has a high synchronization feature, thereby improving the accuracy of regional judgment, allowing subsequent reduced-order calculations to focus on key areas where stress and pressure interactions actually exist, thereby improving calculation efficiency, while reducing data interference in irrelevant areas, and ultimately improving the real-time performance and reliability of the digital twin system.

[0058] Furthermore, by calculating the standard deviation of temperature and pressure fluctuations, the amplitude of temperature and pressure changes in each equipment area is quantitatively measured, and the temperature and pressure synchronization threshold is used to screen out areas with consistent change characteristics. The synchronous fluctuations of temperature and pressure often indicate that the system is affected by external or internal factors. Therefore, these areas are more representative of the changing trend of the equipment's operating status. Through the screening of the first screening module, irrelevant areas where temperature or pressure changes stand out alone can be eliminated in advance, reducing data redundancy and ensuring that subsequent calculations are concentrated on more representative temperature and pressure areas, thereby improving overall computing efficiency and laying the foundation for further accurate screening. In addition, this screening method can also adapt to different equipment working conditions. It only needs to adjust the temperature and pressure synchronization threshold to be applicable to different types of industrial environments, thereby improving the adaptability and generalization ability of the system.

[0059] Furthermore, by plotting temperature and pressure curves and calculating their cosine similarity, we ensure that the selected equipment areas have a high correlation in temperature and pressure fluctuation characteristics, thereby improving the accuracy and reliability of the screening. Using cosine similarity can effectively identify areas with synchronous change characteristics, rather than screening based solely on absolute fluctuation values, thereby avoiding misjudgments. Temperature and pressure are coupled in many industrial scenarios, such as the thermal expansion effect of pipelines, containers, or mechanical equipment. Therefore, areas with high synchronization usually reflect real thermodynamic interactions. By setting reasonable temperature and pressure synchronization thresholds, key areas can be screened out, providing data support for subsequent monitoring, optimization, and reduced-order modeling, and improving the system's intelligent analysis capabilities.

[0060] Furthermore, by calculating the temperature change rate and stress change rate, it is possible to accurately capture the rapid change characteristics within the equipment area, rather than relying solely on absolute values, thereby improving the sensitivity and accuracy of the screening. Changes in temperature and stress are often related to adjustments in the heating and stress conditions of the equipment. For example, a sudden temperature rise may cause stress concentration, which in turn affects the structural safety of the equipment. Therefore, using the change rate as a screening basis can identify potential stress concentration areas or material fatigue areas, providing a more targeted reference for equipment safety assessment and maintenance. At the same time, by reasonably setting the preset second screening time, the timeliness of the change rate calculation is ensured, so that the screened temperature response areas have higher practical application value, which helps to optimize the operating status of the equipment and extend its service life.

[0061] Furthermore, by analyzing the synchronization of the temperature and stress change rates, we can effectively identify the coordinated patterns of temperature and stress changes within the equipment area, thereby screening out areas experiencing synchronized changes in heat and stress. Temperature and stress typically have a certain correlation; for example, when a material expands due to heat, it causes stress changes, while the temperature-stress trends in uncorrelated areas are relatively independent. By calculating cosine similarity, we can quantify the degree of this synchronization, avoiding misjudgments caused by transient fluctuations, thereby improving screening accuracy. This allows us to effectively focus on key areas where stress and heat are truly intertwined, improving the monitoring accuracy of equipment operating status, optimizing maintenance strategies, and reducing the computing resource consumption caused by ineffective screening.

[0062] Furthermore, by comparing the overlap between the thermal stress region and the pressure stress region, the accuracy and consistency of the selected regions for order reduction are ensured. The calculation of the overlap ratio provides a quantitative basis for order reduction decisions, helping to eliminate redundant data and improve the efficiency and accuracy of the system calculations. By setting an appropriate overlap threshold, the screening sensitivity can be flexibly adjusted to avoid performance losses caused by over-screening, while ensuring that only regions truly requiring order reduction are processed, thereby improving the efficiency and reliability of the overall calculation.

[0063] Furthermore, by adjusting the temperature and pressure synchronization thresholds and overlap thresholds in real time based on exponential deviations, we can avoid system misjudgments or missed judgments due to overly strict or overly loose threshold settings. By comparing reduced-order twin data with actual operating data, we can optimize model prediction accuracy, reduce computing resource consumption, and improve the accuracy of equipment monitoring and prediction. While ensuring data rationality, we ensure accurate monitoring and optimization of equipment operating status, thereby enhancing the adaptability and stability of the system.

[0064] Furthermore, by dynamically adjusting the temperature and pressure synchronization thresholds and the overlap threshold, the adjustment unit can effectively address deviation fluctuations in the system, ensuring the synchronization of temperature and pressure and accurate determination of equipment zones. This mechanism for increasing or decreasing thresholds allows the system to flexibly respond to actual deviations, reducing the risk of over-screening or misjudgment, thereby improving the accuracy and reliability of overall prediction and assessment. This adjustment strategy can significantly optimize system performance, avoid misjudgments or omissions caused by improper threshold settings, and ensure the proper determination of equipment zones and resource optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 Schematic diagram of the three-dimensional field model order reduction system for digital twins in this embodiment;

[0066] Figure 2 This is a logic diagram for determining the pressure-resistance area by the determination subunit in this embodiment;

[0067] Figure 3 This is a decision logic diagram for determining the temperature and pressure zone of the first screening sub-unit in this embodiment;

[0068] Figure 4 This is a logic diagram for determining the temperature response area of ​​the second screening sub-unit in this embodiment. DETAILED DESCRIPTION

[0069] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0070] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0071] See also Figure 1 As shown, it is a schematic diagram of the three-dimensional field model reduction system for digital twins in this embodiment;

[0072] This embodiment provides a three-dimensional field model reduction system for digital twins, including:

[0073] The acquisition module is used to collect the temperature, stress and pressure of each equipment area in the industrial area in real time;

[0074] a determination module connected to the acquisition module and configured to determine a plurality of stress-stressed areas according to the stress and the pressure;

[0075] a first screening module, connected to the acquisition module, for screening out a plurality of temperature and pressure regions according to the temperature, the pressure, and a preset temperature and pressure synchronization threshold;

[0076] a second screening module, connected to the acquisition module and the first screening module, respectively, for screening out a plurality of temperature-stress regions according to the temperature and the stress in each temperature-stress region;

[0077] a determination module, connected to the determination module and the second screening module, respectively, for determining a plurality of degraded regions and a plurality of non-degraded regions based on all the temperature response regions and the pressure response regions within a preset determination time period and a preset overlap threshold;

[0078] A simulation module connected to the acquisition module, configured to calculate a simulation index based on a preset simulation model and acquisition results of all the device areas;

[0079] an order reduction module, connected to the acquisition module and the determination module respectively, for reducing the acquisition results of the reduced-order area by using a preset three-dimensional field order reduction model to obtain reduced-order twin data;

[0080] An adjustment module is respectively connected to the reduction module, the acquisition module, the determination module, the first screening module and the simulation module, and is used to adjust the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the simulation index, the reduced-order twin data and the acquisition results of the non-reduced-order area.

[0081] Equipment zones within an industrial zone are functional divisions within the industrial production environment, such as high-temperature heating zones, cooling zones, pressure vessel zones, and machining zones. Equipment within these zones includes heat treatment furnaces, pressure vessels, hydraulic systems, machine tools, and pipelines. The physical parameters (such as temperature, stress, and pressure) within each zone exhibit specific distribution characteristics and patterns of change. Data collection and analysis within these zones can more accurately reflect the operational status of the entire industrial zone, providing high-precision input data for digital twin modeling.

[0082] The acquisition module uses a distributed sensor network to acquire real-time temperature, stress, and pressure data from various equipment areas within the industrial zone. These sensors, including temperature sensors, pressure sensors, and strain gauges, are located in key equipment locations, such as high-temperature areas, pressure-bearing structures, and load-bearing components. The sensors transmit the collected data via wired or wireless communication, ensuring data continuity and real-time availability. The acquisition module also includes data preprocessing capabilities, including noise filtering, outlier removal, and signal enhancement, to improve data quality and provide reliable input for subsequent assessment and screening.

[0083] Reduced-order twin data, as the final output, preserves the key physical properties of the industrial equipment area while significantly reducing the computational complexity of the 3D field model. By reducing the temperature, stress, and pressure data in the 3D field, this data can efficiently represent dynamic changes in complex industrial environments, enabling accurate monitoring and prediction of equipment operating status. Reduced-order twin data not only optimizes operation and maintenance strategies and improves the accuracy of fault prediction, but also reduces data storage and computing resource consumption, providing reliable support for efficient simulation, intelligent control, and decision optimization of digital twin systems.

[0084] The preset temperature-pressure synchronization threshold is a standard value used to screen areas where temperature and pressure change synchronously. It can determine which areas have significant thermomechanical coupling effects and depends on the equipment material properties, environmental conditions and process requirements. It is usually set between 0.1 and 0.5. In this embodiment, it is set to 0.3, which can ensure that the screening area covers the key thermomechanical coupling area while avoiding important areas being ignored due to excessively high thresholds.

[0085] The preset overlap threshold is used to determine the degree of spatial overlap between the temperature-stressed region and the pressure-stressed region, so as to screen the standard value of the final reduced-order region. It depends on the stress and pressure distribution characteristics and the temperature field gradient, and is usually set between 0.2 and 0.6. In this embodiment, it is set to 0.4, which can ensure that the screened reduced-order region effectively represents the overall three-dimensional field characteristics and improve the accuracy and stability of the reduced-order calculation.

[0086] The preset simulation model is a training model based on finite element analysis (FEA) and data-driven analysis adopted by this system to realize three-dimensional field simulation calculation of the equipment area in the industrial zone. The model is formed through historical operation data and high-precision numerical simulation training. It combines machine learning methods (such as deep neural network DNN or long short-term memory network LSTM) to predict the dynamic evolution trend of temperature, stress, and pressure, and simulates the thermal-mechanical coupling characteristics of the equipment area based on the finite element method (FEM) to calculate the simulation index. The training method is: using multiple historical working condition data sets, the input variables include equipment material parameters, operating environment parameters (temperature, pressure, stress), boundary conditions, etc., the output is the temperature field, stress distribution and corresponding structural deformation, and the loss function is optimized to improve the prediction accuracy. The model used in this embodiment is a hybrid FEA-DNN simulation model, which uses FEM to calculate the exact solution and DNN for fast approximate reasoning. In key areas, LSTM is combined to predict time series evolution to achieve efficient and accurate three-dimensional field simulation.

[0087] The pre-defined 3D field order reduction model reduces high-dimensional, complex field data into simplified, low-dimensional data, thereby improving computational efficiency and meeting real-time monitoring and analysis requirements. This model uses techniques such as principal component analysis (PCA), reduced modal decomposition (DMD), and a deep autoencoder to reduce the dimensionality of 3D field data, such as temperature, stress, and pressure, within the device area. This model extracts the most representative features, removes redundant information, and reduces computational complexity while preserving the system's core physical properties, enabling fast, real-time twin data calculation. During the simulation and order reduction process, the model considers factors such as spatial location, temporal evolution, and boundary conditions to ensure that the reduced-order data effectively reflects the dynamic state of the device area. Specifically, this embodiment combines PCA and autoencoder techniques to obtain a low-dimensional representation through data training and minimize reconstruction error, thereby reducing computational resource consumption and meeting the needs of efficient real-time prediction and optimization. Furthermore, this order reduction model seamlessly integrates with the post-processing visualization module, allowing users to quickly generate 3D field cloud maps by adjusting input parameters and assess the impact of multi-parameter changes on device performance in real time. The system supports dynamic display of 3D field physical quantities, instant cloud image storage, and multi-parameter evaluation, significantly improving the efficiency of performance prediction and design optimization. Furthermore, users can flexibly adjust model parameters using sliders and instantly observe changes, providing intuitive, real-time support for design decision-making and optimization.

[0088] First, the acquisition module collects temperature, stress, and pressure data from various equipment areas in the industrial zone in real time, and the judgment module preliminarily identifies the stress-stressed areas. Subsequently, the first screening module selects the temperature-pressure area based on temperature, pressure, and preset thresholds, while the second screening module further selects the temperature-stressed area based on the temperature-pressure area. The determination module ultimately divides the reduced-order area into non-reduced-order areas based on the screening results and the overlap threshold. The simulation module calculates the simulation index using global data, and the reduction module reduces the data in the reduced-order area to generate reduced-order twin data. Finally, the adjustment module dynamically adjusts the screening threshold based on the simulation index, reduced-order data, and data from the non-reduced-order area to achieve an optimization closed loop.

[0089] Through multi-level screening and order reduction processing, an optimal balance between computational efficiency and data accuracy is achieved. The use of temperature-pressure simultaneous screening and temperature-response joint screening can accurately identify key areas and reduce redundant calculations. At the same time, a dynamic adjustment mechanism based on the simulation index is introduced so that the screening threshold can be adaptively optimized according to the actual working conditions, thereby improving the robustness and intelligence of the system. The order reduction module combines the preset three-dimensional field order reduction model to reduce the data dimension while retaining key feature information, thereby improving the simulation calculation speed and reducing storage requirements. In addition, the closed-loop optimization capability of the system ensures that the reduced-order data can be fed back and adjusted in real time, so that the digital twin model can still maintain efficient and accurate operation in complex industrial environments, effectively solving the problems of low order reduction accuracy and low processing speed of complex dynamic scenes caused by over-reliance on finite element software for simulation and the use of SVD method for order reduction.

[0090] Specifically, the determination module includes:

[0091] A stress fluctuation determination calculation unit is used to calculate the standard deviation of all stresses within a preset determination time period to form a stress fluctuation determination value;

[0092] a pressure fluctuation determination calculation unit, configured to calculate a standard deviation of all the pressures within the preset determination time period to form a pressure fluctuation determination value;

[0093] A determination unit is connected to the stress fluctuation determination calculation unit and the pressure fluctuation determination calculation unit respectively, and is used to determine a plurality of stress stress areas according to the stress fluctuation value and the pressure fluctuation value.

[0094] The preset judgment time is the time window used to calculate stress and pressure fluctuations. It depends on the equipment operation cycle, the environmental change rate, and the system response requirements. It is usually set between 30 seconds and 10 minutes. In this embodiment, it is set to 3 minutes to ensure that stable stress and pressure change trends are obtained over a sufficiently long period of time while avoiding the influence of short-term interference factors.

[0095] By calculating stress and pressure fluctuations, the stress fluctuation determination unit first calculates the standard deviation of all stress data within a preset time period to determine the stress fluctuation determination value. Secondly, the pressure fluctuation determination unit calculates the standard deviation of the pressure data using the same method to form the pressure fluctuation determination value. Finally, the determination unit combines these two fluctuation values ​​to perform a comprehensive analysis of the stress and pressure fluctuation values, thereby identifying several stress and pressure regions with abnormal stress and pressure fluctuations that may require further processing or optimization.

[0096] By calculating the standard deviation of stress and pressure to quantify the degree of data fluctuation, the stress area is determined, ensuring the scientificity and accuracy of the determination results from the data level. The fluctuation values ​​of stress and pressure can reflect the dynamic load state within the equipment area. Larger fluctuation values ​​usually mean that the area is more affected by external factors or has strong periodic changes, while smaller fluctuation values ​​indicate that the area is relatively stable. By setting a reasonable fluctuation threshold, the system can effectively distinguish areas where fatigue accumulation, stress concentration or abnormal pressure changes may exist, providing a reliable basis for subsequent reduced-order modeling and optimization. Compared with relying solely on instantaneous data, the use of standard deviation calculation enhances the ability to capture long-term trends and instantaneous fluctuations, improves the accuracy of abnormal area screening, thereby reducing misjudgments, optimizing resource scheduling, and improving the monitoring quality and response efficiency of the overall system.

[0097] Please continue reading Figure 2 As shown, it is a determination logic diagram of the determination subunit for determining the pressure-resistance area in this embodiment;

[0098] The determination unit includes:

[0099] a normalization subunit, configured to perform normalization processing on the determined stress fluctuation value to form a stress normalized fluctuation value, and to perform normalization processing on the determined pressure fluctuation value to form a pressure normalized fluctuation value;

[0100] a stress-pressure synchronization calculation subunit, connected to the normalization subunit, for calculating a correlation coefficient between the stress normalized fluctuation value and the pressure normalized fluctuation value to form a stress-pressure synchronization;

[0101] The determination subunit is connected to the pressure response synchronization degree calculation subunit, and is used to determine that the device area is the pressure response area when the pressure response synchronization degree is greater than a preset standard pressure response synchronization threshold, thereby forming a plurality of pressure response areas.

[0102] The preset standard stress-pressure synchronization threshold is a standard value used to measure the degree of correlation between stress fluctuation values ​​and pressure fluctuation values. It depends on the equipment material properties, operating conditions and historical data analysis, and is usually set between 0.6 and 0.9. In this embodiment, it is set to 0.75. While ensuring synchronization, it can avoid the neglect of some key areas due to overly strict standards, and prevent misjudgment caused by too low a threshold, which causes irrelevant areas to be mistakenly included in the stress-pressure area.

[0103] The normalization subunit normalizes the stress and pressure fluctuation values ​​to obtain dimensionless normalized stress and pressure fluctuation values, eliminating the impact of dimensional differences. Subsequently, the stress-pressure synchronization calculation subunit calculates the correlation coefficient between the normalized stress and pressure fluctuation values ​​to obtain the stress-pressure synchronization degree. Finally, the determination subunit determines the stress-pressure synchronization degree based on a preset standard stress-pressure synchronization threshold. If the stress-pressure synchronization degree exceeds the threshold, the stress and pressure fluctuations in the equipment area are considered highly synchronized, and the area is determined to be a stress-pressure region, ultimately forming multiple stress-pressure regions.

[0104] Through normalization processing, stress fluctuation values ​​and pressure fluctuation values ​​of different dimensions can be compared on the same scale, avoiding calculation deviations caused by different data numerical ranges. At the same time, the concept of stress-pressure synchronization is introduced. By calculating the correlation coefficient to quantify the synchronization relationship between stress and pressure fluctuations, it is possible to more accurately determine whether there is a significant stress-pressure coupling effect in the equipment area. The method of setting a standard stress-pressure synchronization threshold ensures that the screened stress-pressure area has a high synchronization feature, thereby improving the accuracy of regional judgment, allowing subsequent reduced-order calculations to focus on key areas where stress and pressure interactions actually exist, thereby improving calculation efficiency, while reducing data interference in irrelevant areas, and ultimately improving the real-time and reliability of the digital twin system.

[0105] Specifically, the first screening module includes:

[0106] a first temperature fluctuation calculation unit, configured to calculate a standard deviation of all the temperatures within a preset first screening time period to form a first temperature fluctuation value;

[0107] a first pressure fluctuation calculation unit, configured to calculate a standard deviation of all the pressures within the preset first screening time period to form a first pressure fluctuation value;

[0108] The first screening unit is connected to the first temperature fluctuation calculation unit and the first pressure fluctuation calculation unit respectively, and is used to screen out a plurality of temperature and pressure areas according to the first temperature fluctuation value, the first pressure fluctuation value and the preset temperature and pressure synchronization threshold.

[0109] The preset first screening time refers to the length of the time window used to calculate the temperature fluctuation value and the pressure fluctuation value in the first screening stage. It depends on the operating characteristics of the equipment, the data update frequency and the system's sensitivity to short-term fluctuations. It is usually set between 10 seconds and 10 minutes. In this embodiment, it is set to 3 minutes, which can balance the relationship between short-term fluctuations and the overall trend, so that the screening of the temperature and pressure area can capture sudden anomalies (such as short-term temperature fluctuations) while ensuring the stability of the data and reducing the impact of short-term random fluctuations on the screening results.

[0110] The first temperature fluctuation calculation unit first calculates the standard deviation of all temperature data within a preset first screening time period to obtain a first temperature fluctuation value. Simultaneously, the first pressure fluctuation calculation unit calculates the standard deviation of the pressure data within the same time period to form a first pressure fluctuation value. Subsequently, the first screening unit combines the first temperature fluctuation value, the first pressure fluctuation value, and a preset temperature and pressure synchronization threshold to select regions with relatively synchronized temperature and pressure fluctuation characteristics within that time period, ultimately forming a number of temperature and pressure regions.

[0111] By calculating the standard deviation of temperature and pressure fluctuations, the amplitude of temperature and pressure changes in each equipment area is quantitatively measured, and the temperature and pressure synchronization threshold is used to screen out areas with consistent change characteristics. Synchronous fluctuations in temperature and pressure often indicate that the system is affected by external or internal factors. Therefore, these areas are more representative of the changing trend of the equipment's operating status. Through the screening of the first screening module, irrelevant areas where temperature or pressure changes stand out alone can be eliminated in advance, reducing data redundancy and ensuring that subsequent calculations are concentrated on more representative temperature and pressure areas, thereby improving overall computing efficiency and laying the foundation for further accurate screening. In addition, this screening method can also adapt to different equipment operating conditions. By simply adjusting the temperature and pressure synchronization threshold, it can be applied to different types of industrial environments, improving the adaptability and generalization capabilities of the system.

[0112] Please continue reading Figure 3 As shown, it is a determination logic diagram of the first screening sub-unit determining the temperature and pressure zone in this embodiment;

[0113] The first screening unit includes:

[0114] a temperature curve drawing subunit, configured to draw a change curve of the first temperature fluctuation value within the preset first screening time period to form a temperature curve;

[0115] a pressure curve drawing subunit, configured to draw a change curve of the first pressure fluctuation value within the preset first screening time period to form a pressure curve;

[0116] a temperature-pressure synchronization calculation subunit, connected to the temperature curve drawing subunit and the pressure curve drawing subunit respectively, for calculating the cosine similarity of the temperature curve and the pressure curve to form the temperature-pressure synchronization;

[0117] The first screening subunit is connected to the temperature-pressure synchronization degree calculation subunit, and is used to determine that the device area is the temperature-pressure area when the temperature-pressure synchronization degree is greater than the preset temperature-pressure synchronization threshold, so as to screen out several temperature-pressure areas.

[0118] First, the temperature curve drawing subunit and the pressure curve drawing subunit draw the corresponding temperature change curve and pressure change curve based on the temperature fluctuation value and pressure fluctuation value within the preset first screening time period respectively. These two curves reflect the time evolution trend of temperature and pressure in the equipment area. Subsequently, the temperature and pressure synchronization calculation subunit calculates the two curves and uses cosine similarity to evaluate their degree of synchronization, that is, the correlation between temperature change and pressure change. Finally, the first screening subunit compares the calculated temperature and pressure synchronization with the preset temperature and pressure synchronization threshold. When the temperature and pressure synchronization is greater than the threshold, the equipment area is judged as a temperature and pressure area, thereby screening out several areas that meet the requirements.

[0119] By plotting temperature and pressure curves and calculating their cosine similarity, we ensure that the selected equipment areas have a high correlation in temperature and pressure fluctuation characteristics, thereby improving the accuracy and reliability of the screening. Using cosine similarity can effectively identify areas with synchronous change characteristics, rather than screening based solely on absolute fluctuation values, thus avoiding misjudgments. Temperature and pressure are coupled in many industrial scenarios, such as the thermal expansion effect of pipelines, containers, or mechanical equipment. Therefore, areas with high synchronization usually reflect real thermodynamic interactions. By setting reasonable temperature and pressure synchronization thresholds, key areas can be screened, providing data support for subsequent monitoring, optimization, and reduced-order modeling, and improving the system's intelligent analysis capabilities.

[0120] Specifically, the second screening module includes:

[0121] a temperature change rate calculation unit, configured to calculate the difference between two temperatures at any adjacent moments within a preset second screening time period to form a plurality of temperature change rates;

[0122] a stress change rate calculation unit, configured to calculate the difference between two stresses at any adjacent moments within the preset second screening time period to form a plurality of stress change rates;

[0123] The second screening unit is connected to the temperature change rate calculation unit and the stress change rate calculation unit respectively, and is used to screen out a plurality of temperature-responsive regions according to the temperature change rate and the stress change rate.

[0124] The preset second screening time refers to the time window used when calculating the temperature change rate and stress change rate in the second screening module. It depends on the operating characteristics of the equipment, the thermal response time of the material, the stress change rate and the working conditions. It is usually set to 5 seconds to 30 seconds. In this embodiment, it is set to 10 seconds, which can ensure that the rapid changes in temperature and stress in the equipment area can be accurately captured, while avoiding the interference of short-term random fluctuations on the screening results.

[0125] First, the temperature change rate calculation unit calculates the temperature difference between adjacent moments within a preset second screening period to form a temperature change rate. The stress change rate calculation unit also calculates the stress difference between adjacent moments to form a stress change rate. These change rates reflect the dynamic trends of temperature and stress. Subsequently, the second screening unit uses these calculated temperature and stress change rates to identify device regions whose temperature and stress variation characteristics meet specific criteria and mark them as temperature-sensitive regions for further analysis and optimization.

[0126] By calculating the temperature change rate and stress change rate, it is possible to accurately capture the rapidly changing characteristics within the equipment area, rather than relying solely on absolute values, thereby improving the sensitivity and accuracy of the screening. Changes in temperature and stress are often related to adjustments in the heating and stress conditions of the equipment. For example, a sudden temperature rise may cause stress concentration, which in turn affects the structural safety of the equipment. Therefore, using the change rate as a screening basis can identify potential stress concentration areas or material fatigue areas, providing a more targeted reference for equipment safety assessment and maintenance. At the same time, by reasonably setting the preset second screening time, the timeliness of the change rate calculation is ensured, so that the screened temperature response areas have higher practical application value, which helps to optimize the equipment's operating status and extend its service life.

[0127] Please continue reading Figure 4 As shown, it is a determination logic diagram of the temperature response area determined by the second screening sub-unit of this embodiment;

[0128] The second screening unit includes:

[0129] a temperature change curve generating subunit, configured to generate a change curve of the temperature change rate within the preset second screening time period to form a temperature change curve;

[0130] A stress change curve generating subunit is used to generate a stress change curve of the stress change rate within the preset second screening time period to form a stress change curve;

[0131] a temperature-stress synchronization calculation subunit, connected to the temperature change curve generation subunit and the stress change curve generation subunit, respectively, for calculating the cosine similarity of the temperature change curve and the stress change curve to form the temperature-stress synchronization;

[0132] The second screening subunit is connected to the temperature response synchronization calculation subunit and is used to determine that the temperature-pressure area is the temperature response area when the temperature response synchronization is greater than a preset temperature response synchronization threshold, thereby forming a plurality of temperature response areas.

[0133] The preset temperature-stress synchronization threshold is a parameter used to measure whether the temperature and stress changes are synchronized. It depends on the operating characteristics of the equipment, historical data and expected response time. It is usually set between 0.7 and 0.9. In this embodiment, it is set to 0.8. It can balance the accuracy of screening and sensitivity to abnormal situations, while avoiding the screening of too many irrelevant areas and improving overall efficiency.

[0134] First, the temperature change curve generation subunit and the stress change curve generation subunit calculate the temperature change rate and stress change rate, respectively, over the preset second screening period and plot the corresponding change curves. Next, the temperature-response synchronization calculation subunit calculates the cosine similarity between the temperature change curve and the stress change curve to obtain the temperature-response synchronization degree. Finally, the second screening subunit compares the temperature-response synchronization degree with a preset temperature-response synchronization threshold. If the temperature-response synchronization degree exceeds the threshold, the temperature-pressure region is determined to be a temperature-response region, ultimately screening out multiple temperature-response regions.

[0135] By analyzing the synchronization of the temperature and stress change rates, we can effectively identify the coordinated patterns of temperature and stress changes within the equipment area, thereby screening out areas experiencing synchronized changes in heat and stress. Temperature and stress typically exhibit a certain correlation; for example, thermal expansion of materials causes stress changes, while the temperature-stress trends in uncorrelated areas are relatively independent. Calculating cosine similarity quantifies this degree of synchronization, avoiding misjudgments caused by transient fluctuations and improving screening accuracy. This allows us to effectively focus on key areas experiencing the true interaction of stress and heat, improve the accuracy of monitoring equipment operating status, optimize maintenance strategies, and reduce the computational resource consumption associated with ineffective screening.

[0136] Specifically, the determination module includes:

[0137] a temperature response overlap selection unit, for comparing all the temperature response regions and selecting repeated temperature response regions to form a plurality of temperature response overlap regions;

[0138] a pressure coincidence selection unit for comparing all the pressure response areas and selecting repeated pressure response areas to form a plurality of pressure coincidence areas;

[0139] a total overlap selection unit, connected to the temperature-response overlap selection unit and the pressure-response overlap selection unit, respectively, for comparing the temperature-response overlap area and the pressure-response overlap area and selecting the same equipment area to form a plurality of total overlap areas;

[0140] an overlap rate calculation unit connected to the total overlap selection unit, for calculating the number of the total weight regions and the ratio of the sum of all the temperature-resistance regions to all the pressure-resistance regions to form an overlap rate;

[0141] A determination unit is connected to the overlap rate calculation unit, and is used to determine that the total weight area is the downgraded area when the overlap rate is greater than the preset overlap threshold, forming a plurality of downgraded areas, and to determine that all the equipment areas other than the downgraded area in the industrial area are the non-downgraded areas, forming a plurality of non-downgraded areas.

[0142] By comparing and selecting repeated thermal and pressure stress areas, a number of thermal and pressure overlap areas are generated. These two types of areas are then further compared to select the same equipment areas, forming a total weight area. The overlap ratio is then calculated by calculating the ratio of the total weight areas to the sum of all thermal and pressure stress areas. When the overlap ratio exceeds a preset threshold, the corresponding equipment area is identified as a degraded area, while the other equipment areas are considered non-degraded areas.

[0143] By comparing the overlap between the thermal stress region and the pressure stress region, the accuracy and consistency of the selected regions for order reduction are ensured. The overlap calculation provides a quantitative basis for order reduction decisions, helping to eliminate redundant data and improve the efficiency and accuracy of system calculations. By setting an appropriate overlap threshold, the screening sensitivity can be flexibly adjusted to avoid performance losses caused by over-screening. This ensures that only regions truly requiring order reduction are processed, thereby improving overall calculation efficiency and reliability.

[0144] Specifically, the adjustment module includes:

[0145] a reduced-order simulation unit, configured to input the reduced-order twin data, the temperature, the pressure, and the stress of the non-reduced-order region into the preset simulation model to simulate and obtain a reduced-order index;

[0146] an index deviation calculation unit, connected to the reduced-order simulation unit, for calculating a relative deviation between the simulation index and the reduced-order index to form an index deviation;

[0147] An adjustment unit is connected to the index deviation calculation unit and is used to adjust the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the index deviation.

[0148] The reduced-order simulation unit inputs the reduced-order twin data, along with the temperature, pressure, and stress of the non-reduced-order region, into a pre-set simulation model to generate a reduced-order index. The index deviation calculation unit then calculates the relative deviation between the simulation index and the reduced-order index to obtain an index deviation value. Finally, the adjustment unit adjusts the preset temperature-pressure synchronization threshold or the preset coincidence threshold based on the calculated index deviation value to ensure stable operation and accuracy of the system.

[0149] By adjusting the temperature and pressure synchronization thresholds and overlap thresholds in real time based on exponential deviations, we can avoid system misjudgments or missed judgments due to overly strict or overly loose threshold settings. By comparing reduced-order twin data with actual operating data, we can optimize model prediction accuracy, reduce computing resource consumption, and improve the accuracy of equipment monitoring and prediction. While ensuring data rationality, we ensure accurate monitoring and optimization of equipment operating status, thereby enhancing the adaptability and stability of the system.

[0150] Specifically, the adjustment unit includes:

[0151] a first adjustment subunit, configured to increase the preset temperature-pressure synchronization threshold according to a relative deviation between the index deviation and the preset index deviation threshold and a preset first adjustment coefficient when the index deviation is greater than a preset index deviation threshold;

[0152] a deviation fluctuation calculation subunit, configured to calculate a standard deviation of the index deviation within a preset adjustment period when the index deviation is less than or equal to the preset index deviation threshold, to form an index deviation fluctuation value;

[0153] A second adjustment subunit is connected to the deviation fluctuation calculation subunit and is used to reduce the preset overlap threshold value according to the relative deviation between the exponential deviation fluctuation value and the preset deviation fluctuation threshold value and a preset second adjustment coefficient when the exponential deviation fluctuation value is greater than the preset deviation fluctuation threshold value.

[0154] The preset index deviation threshold is a standard value used to judge the system index deviation. It depends on the accuracy requirements of the equipment operation and the tolerance of the equipment area. It is usually set between 0.05 and 0.1. In this embodiment, it is set to 0.07. This helps to make timely adjustments when large deviations occur in the system, ensuring the stability and accuracy of the system operation.

[0155] The preset first adjustment coefficient is a coefficient used to adjust the temperature and pressure synchronization threshold when the index deviation is greater than the threshold. It is usually set according to the response speed and dynamic adjustment capability of the device, and is usually set between 1.0 and 2.0. In this embodiment, it is set to 1.5, which can ensure that the temperature and pressure synchronization threshold can be flexibly adjusted according to the size of the deviation, so as to improve the system response capability and optimize the screening effect of the device area.

[0156] The preset deviation fluctuation threshold is a standard value used to judge the fluctuation of the index deviation. It depends on the fluctuation tolerance range of the system and is usually set between 0.01 and 0.05. In this embodiment, it is set to 0.03, which helps to judge the volatility of the system, avoid excessive adjustments, and provide a reasonable adjustment basis for subsequent operations.

[0157] The preset second adjustment coefficient is a coefficient used to adjust the overlap threshold when the exponential deviation fluctuation value exceeds the threshold. It is usually set according to the long-term operating stability and adjustment requirements of the equipment, and is usually set between 0.5 and 1.5. In this embodiment, it is set to 1.0, which can ensure that when the volatility is large, the overlap threshold can be appropriately reduced to avoid misjudgment and improve the adaptability of the system.

[0158] The adjustment unit adjusts the system's thresholds through two submodules. In the first adjustment submodule, when the index deviation exceeds a preset threshold, the temperature-pressure synchronization threshold is increased based on the relative deviation between the index deviation and the threshold and a preset first adjustment coefficient. On the other hand, the deviation fluctuation calculation submodule calculates the fluctuation value of the index deviation when the index deviation is less than or equal to the preset threshold. In the second adjustment submodule, when the index deviation fluctuation value exceeds a preset deviation fluctuation threshold, the overlap threshold is reduced based on the relative deviation between the fluctuation value and the threshold and a preset second adjustment coefficient.

[0159] By dynamically adjusting the temperature and pressure synchronization thresholds and the overlap threshold, the adjustment unit effectively addresses system fluctuations, ensuring temperature and pressure synchronization and accurate device zone determination. This mechanism for increasing or decreasing thresholds allows the system to flexibly adapt to actual deviations, reducing the risk of over-selection or misjudgment, thereby improving the accuracy and reliability of overall predictions and assessments. This adjustment strategy significantly optimizes system performance, avoiding misjudgments or omissions caused by improper threshold settings, and ensuring appropriate device zone determination and resource optimization.

[0160] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A three-dimensional field model reduction system for digital twins, characterized by: include: The acquisition module is used to collect the temperature, stress and pressure of each equipment area in the industrial area in real time; a determination module connected to the acquisition module and configured to determine a plurality of stress-stressed areas according to the stress and the pressure; a first screening module, connected to the acquisition module, for screening out a plurality of temperature and pressure regions according to the temperature, the pressure, and a preset temperature and pressure synchronization threshold; a second screening module, connected to the acquisition module and the first screening module, respectively, for screening out a plurality of temperature-stress regions according to the temperature and the stress in each temperature-stress region; a determination module, connected to the determination module and the second screening module, respectively, for determining a plurality of degraded regions and a plurality of non-degraded regions based on all the temperature response regions and the pressure response regions within a preset determination time period and a preset overlap threshold; A simulation module connected to the acquisition module, configured to calculate a simulation index based on a preset simulation model and acquisition results of all the device areas; an order reduction module, connected to the acquisition module and the determination module respectively, for reducing the acquisition results of the reduced-order area by using a preset three-dimensional field order reduction model to obtain reduced-order twin data; an adjustment module, connected to the order reduction module, the acquisition module, the determination module, the first screening module, and the simulation module, respectively, for adjusting the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the simulation index, the reduced-order twin data, and the acquisition result of the non-reduced-order area; Among them, the equipment areas in the industrial zone refer to the functional divisions where different types of equipment are located in the industrial production environment. The preset temperature and pressure synchronization threshold is a standard value used to screen areas where temperature and pressure change synchronously. The preset overlap threshold is a standard value used to determine the degree of spatial overlap between the temperature response area and the pressure response area to screen the final reduced-order area.

2. The three-dimensional field model reduction system for digital twins according to claim 1 is characterized in that: The determination module includes: A stress fluctuation determination calculation unit is used to calculate the standard deviation of all stresses within a preset determination time period to form a stress fluctuation determination value; a pressure fluctuation determination calculation unit, configured to calculate a standard deviation of all the pressures within the preset determination time period to form a pressure fluctuation determination value; A determination unit is connected to the stress fluctuation determination calculation unit and the pressure fluctuation determination calculation unit respectively, and is used to determine a plurality of stress stress areas according to the stress fluctuation value and the pressure fluctuation value.

3. The three-dimensional field model reduction system for digital twins according to claim 2 is characterized in that: The determination unit includes: a normalization subunit, configured to perform normalization processing on the determined stress fluctuation value to form a stress normalized fluctuation value, and to perform normalization processing on the determined pressure fluctuation value to form a pressure normalized fluctuation value; a stress-pressure synchronization calculation subunit, connected to the normalization subunit, for calculating a correlation coefficient between the stress normalized fluctuation value and the pressure normalized fluctuation value to form a stress-pressure synchronization; The determination subunit is connected to the pressure response synchronization degree calculation subunit, and is used to determine that the device area is the pressure response area when the pressure response synchronization degree is greater than a preset standard pressure response synchronization threshold, thereby forming a plurality of pressure response areas.

4. The three-dimensional field model reduction system for digital twins according to claim 3 is characterized in that: The first screening module includes: a first temperature fluctuation calculation unit, configured to calculate a standard deviation of all the temperatures within a preset first screening time period to form a first temperature fluctuation value; a first pressure fluctuation calculation unit, configured to calculate a standard deviation of all the pressures within the preset first screening time period to form a first pressure fluctuation value; The first screening unit is connected to the first temperature fluctuation calculation unit and the first pressure fluctuation calculation unit respectively, and is used to screen out a plurality of temperature and pressure areas according to the first temperature fluctuation value, the first pressure fluctuation value and the preset temperature and pressure synchronization threshold.

5. The three-dimensional field model reduction system for digital twins according to claim 4 is characterized in that: The first screening unit includes: a temperature curve drawing subunit, configured to draw a change curve of the first temperature fluctuation value within the preset first screening time period to form a temperature curve; a pressure curve drawing subunit, configured to draw a change curve of the first pressure fluctuation value within the preset first screening time period to form a pressure curve; a temperature-pressure synchronization calculation subunit, connected to the temperature curve drawing subunit and the pressure curve drawing subunit respectively, for calculating the cosine similarity of the temperature curve and the pressure curve to form the temperature-pressure synchronization; The first screening subunit is connected to the temperature-pressure synchronization degree calculation subunit, and is used to determine that the device area is the temperature-pressure area when the temperature-pressure synchronization degree is greater than the preset temperature-pressure synchronization threshold, so as to screen out several temperature-pressure areas.

6. The three-dimensional field model reduction system for digital twins according to claim 5 is characterized in that: The second screening module includes: a temperature change rate calculation unit, configured to calculate the difference between two temperatures at any adjacent moments within a preset second screening time period to form a plurality of temperature change rates; a stress change rate calculation unit, configured to calculate the difference between two stresses at any adjacent moments within the preset second screening time period to form a plurality of stress change rates; The second screening unit is connected to the temperature change rate calculation unit and the stress change rate calculation unit respectively, and is used to screen out a plurality of temperature-responsive regions according to the temperature change rate and the stress change rate.

7. The three-dimensional field model reduction system for digital twins according to claim 6 is characterized in that: The second screening unit includes: a temperature change curve generating subunit, configured to generate a change curve of the temperature change rate within the preset second screening time period to form a temperature change curve; A stress change curve generating subunit is used to generate a stress change curve of the stress change rate within the preset second screening time period to form a stress change curve; a temperature-stress synchronization calculation subunit, connected to the temperature change curve generation subunit and the stress change curve generation subunit, respectively, for calculating the cosine similarity of the temperature change curve and the stress change curve to form the temperature-stress synchronization; The second screening subunit is connected to the temperature response synchronization calculation subunit and is used to determine that the temperature-pressure area is the temperature response area when the temperature response synchronization is greater than a preset temperature response synchronization threshold, thereby forming a plurality of temperature response areas.

8. The three-dimensional field model reduction system for digital twins according to claim 7 is characterized in that: The determination module includes: a temperature response overlap selection unit, for comparing all the temperature response regions and selecting repeated temperature response regions to form a plurality of temperature response overlap regions; a pressure coincidence selection unit for comparing all the pressure response areas and selecting repeated pressure response areas to form a plurality of pressure coincidence areas; a total overlap selection unit, connected to the temperature-response overlap selection unit and the pressure-response overlap selection unit, respectively, for comparing the temperature-response overlap area and the pressure-response overlap area and selecting the same equipment area to form a plurality of total overlap areas; an overlap rate calculation unit connected to the total overlap selection unit, for calculating the number of the total weight regions and the ratio of the sum of all the temperature-resistance regions to all the pressure-resistance regions to form an overlap rate; A determination unit is connected to the overlap rate calculation unit, and is used to determine that the total weight area is the downgraded area when the overlap rate is greater than the preset overlap threshold, forming a plurality of downgraded areas, and to determine that all the equipment areas other than the downgraded area in the industrial area are the non-downgraded areas, forming a plurality of non-downgraded areas.

9. The three-dimensional field model reduction system for digital twins according to claim 8, characterized in that: The adjustment module includes: a reduced-order simulation unit, configured to input the reduced-order twin data, the temperature, the pressure, and the stress of the non-reduced-order region into the preset simulation model to simulate and obtain a reduced-order index; an index deviation calculation unit, connected to the reduced-order simulation unit, for calculating a relative deviation between the simulation index and the reduced-order index to form an index deviation; An adjustment unit is connected to the index deviation calculation unit and is used to adjust the preset temperature-pressure synchronization threshold or the preset coincidence threshold according to the index deviation.

10. The three-dimensional field model reduction system for digital twins according to claim 9, characterized in that: The adjustment unit includes: a first adjustment subunit, configured to increase the preset temperature-pressure synchronization threshold according to a relative deviation between the index deviation and the preset index deviation threshold and a preset first adjustment coefficient when the index deviation is greater than a preset index deviation threshold; a deviation fluctuation calculation subunit, configured to calculate a standard deviation of the index deviation within a preset adjustment period when the index deviation is less than or equal to the preset index deviation threshold, to form an index deviation fluctuation value; A second adjustment subunit is connected to the deviation fluctuation calculation subunit and is used to reduce the preset overlap threshold value according to the relative deviation between the exponential deviation fluctuation value and the preset deviation fluctuation threshold value and a preset second adjustment coefficient when the exponential deviation fluctuation value is greater than the preset deviation fluctuation threshold value.

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