Industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions

Abstract

The invention discloses an industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions, and relates to the field of industrial fluid mechanics intelligent simulation systems, and the system comprises a model construction module which can construct and pre-process a three-dimensional model according to equipment and a process; the boundary condition setting module can flexibly set various boundary conditions; the real-time monitoring module is used for acquiring real-time parameters of fluid through a sensor; the simulation calculation module is used for calculating and dynamically adjusting parameters by using a finite volume or finite element method; the result analysis and feedback module is used for visualizing results and comparing and analyzing the results to guide optimization; the user interaction module provides a friendly interface and authority management; the system also has the functions of historical data management, distributed calculation, model verification and calibration, VR / AR support and storage medium. The simulation accuracy and reliability can be improved, real-time optimization control is achieved, the product research and development period and cost are shortened, the intelligent degree and user experience are improved, the system expansibility and adaptability are enhanced, and industrial development is assisted.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial fluid mechanics intelligent simulation systems, and in particular to an industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions. Background Art

[0002] In the modern industrial field, fluid mechanics phenomena are widely present in many industrial processes, such as fluid mixing and transmission in chemical production, oil and gas pipeline transportation in the energy field, and aircraft aerodynamic design in the aerospace industry. In-depth understanding and precise control of these fluid mechanics processes are of vital importance to improving industrial production efficiency, ensuring safe operation of equipment, and optimizing product design.

[0003] Traditional industrial fluid mechanics research mainly relies on theoretical analysis, experimental testing, and numerical simulation. Theoretical analysis methods have limitations when dealing with complex geometric shapes and boundary conditions, and can often only obtain approximate solutions. Although experimental testing can obtain relatively accurate actual data, the experimental equipment is expensive, the cycle is long, and it is difficult to conduct experiments under some extreme working conditions or dangerous environments. Numerical simulation methods, such as computational fluid dynamics (CFD), have overcome some of the shortcomings of theoretical analysis and experimental testing to a certain extent, but traditional numerical simulations are usually offline calculations based on idealized models and assumed conditions, which are somewhat disconnected from actual industrial processes.

[0004] In actual industrial production, the operating environment of industrial equipment and process flows is complex and changeable, and the flow characteristics of fluids are affected in real time by a variety of factors, such as equipment wear, fluctuations in process parameters, changes in the external environment, etc. Traditional simulation systems are unable to obtain real-time information on these dynamic changes in the actual operation process, resulting in deviations between simulation results and actual conditions, making it difficult to accurately guide industrial production practices. Moreover, once the actual working conditions change, traditional simulation systems are unable to adjust the model and calculation parameters in a timely manner, and require the tedious modeling and calculation process to be repeated.

[0005] With the development of industrial automation and intelligence, higher requirements are placed on real-time monitoring and precise control of industrial processes. Real-time acquisition of various parameters in the fluid mechanics process and feedback to the simulation system to achieve dynamic interaction between simulation and actual process have become urgent problems to be solved in the industrial field. At the same time, the continuous progress of sensor technology, computer technology, communication technology and numerical calculation methods has provided technical feasibility for the development of industrial fluid mechanics intelligent simulation systems with real-time monitoring and feedback functions. By integrating advanced sensor networks, efficient numerical calculation algorithms, intelligent data processing and analysis technologies, and friendly user interaction interfaces, a new intelligent simulation system can be built to fill the gaps in real-time and accuracy of traditional simulation methods, and provide strong support for the optimized operation of industrial production, fault prediction and diagnosis, and new product development. Summary of the invention

[0006] The present invention proposes an industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions to solve the problems mentioned in the above-mentioned prior art.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions, comprising: The model building module is used to build a three-dimensional fluid mechanics model based on the physical structure and fluid characteristics of industrial equipment or process flows. It supports the import of models in multiple formats, such as CAD and STL file formats, and has model preprocessing functions, including model repair, simplification, and meshing. The meshing uses an adaptive algorithm to automatically adjust the mesh density according to the fluid flow characteristics, ensuring calculation accuracy while improving calculation efficiency.

[0008] The boundary condition setting module allows users to flexibly set the boundary conditions of the simulation model, such as inlet velocity, outlet pressure, and wall roughness. It provides a variety of preset boundary condition templates that can be quickly selected according to different industrial scenarios. It supports custom boundary condition functions to adapt to complex and changeable industrial realities. It also has a boundary condition validity check function to avoid inaccurate simulation results due to incorrect settings.

[0009] The real-time monitoring module is connected to industrial field equipment through a sensor network to collect the actual operating parameters of the fluid, such as flow rate, pressure, temperature, and flow rate. The sensor has high precision and high reliability. The data collection frequency can be adjusted according to demand, up to 1000Hz. The collected data is pre-processed, including filtering and data calibration, to ensure the accuracy of the data, and then transmitted to the simulation system.

[0010] The simulation calculation module receives information from the model building module and the boundary condition setting module, as well as the actual operating parameters of the real-time monitoring module. It uses the finite volume method or the finite element method to perform numerical calculations of fluid mechanics. During the calculation process, the calculation parameters, such as the time step and relaxation factor, can be dynamically adjusted according to the real-time monitoring data to improve the stability and accuracy of the calculation. It supports parallel computing and uses multi-core CPUs or GPUs to accelerate the calculation process and shorten the calculation time.

[0011] The result analysis and feedback module visualizes the simulation calculation results and displays the velocity distribution, pressure distribution, temperature distribution and other information of the fluid in the form of two-dimensional charts, three-dimensional cloud maps, streamline diagrams, etc. It has the function of result comparison and analysis, compares the simulation results with the real-time monitoring data, calculates error indicators such as root mean square error and mean absolute error, generates feedback information based on the comparison results, guides the adjustment of operating parameters of industrial field equipment, and realizes optimization control.

[0012] The user interaction module provides a friendly graphical user interface to facilitate users to operate and manage the entire simulation process, including model construction, boundary condition setting, simulation start and stop, and result viewing. It supports multi-language interface to meet the needs of different users and has user authority management function. Different operation permissions are assigned according to user roles to ensure system security.

[0013] Furthermore, the adaptive meshing algorithm in the model building module automatically adjusts the mesh density according to the local Reynolds number, velocity gradient, pressure gradient and other physical quantities of the fluid, densifies the mesh in areas where the fluid flow changes drastically, and appropriately sparses the mesh in areas where the flow is relatively stable. The specific formula is: ,in is the grid size, is the initial grid size, is the Reynolds number, velocity gradient, is the pressure gradient, To adjust the function, it is determined based on a large amount of experimental data and numerical simulation experience.

[0014] Furthermore, the sensors in the real-time monitoring module use wireless transmission technology, such as Wi-Fi, Bluetooth or ZigBee, to establish a stable data transmission link with the simulation system. The transmission protocol uses a secure and reliable encryption protocol, such as SSL / TLS protocol, to ensure confidentiality and integrity during data transmission. The sensor has a low power consumption mode and can be powered by a battery or energy harvesting technology (such as solar energy, thermal energy) to extend the service life of the sensor.

[0015] Furthermore, in the finite volume method or finite element method calculation process in the simulation calculation module, multi-grid technology is used to accelerate convergence, and the calculation time is reduced by iteratively solving on grids of different resolutions. At the same time, an implicit time-marching algorithm is used to improve calculation stability. For nonlinear problems, Newton's iteration method or Picard's iteration method is used to solve them to ensure the accuracy of the calculation results.

[0016] Furthermore, the visualization processing in the result analysis and feedback module adopts a graphics library based on OpenGL or VTK to achieve high-quality graphics rendering. The result comparison and analysis function can automatically generate a comparison report, including comparison charts and error analysis tables. The feedback information is presented to the user in an intuitive manner, such as the recommended adjustment of the equipment operating parameter value and the adjustment direction (increase or decrease).

[0017] Furthermore, the system has historical data storage and management functions, storing simulation calculation results, real-time monitoring data, and user operation records. The data storage format adopts a standardized format, such as HDF5 or NetCDF, to facilitate data query, analysis and sharing, support data backup and recovery functions, and ensure data security and reliability.

[0018] Furthermore, the system supports distributed simulation computing, which can decompose large simulation tasks into multiple subtasks and distribute them to multiple computing nodes for parallel computing. The computing nodes are connected through high-speed networks, such as InfiniBand or Ethernet, and have task scheduling and management functions to ensure the coordinated operation and data exchange of each subtask, thereby improving the computing power and scalability of the system.

[0019] Furthermore, the system has a model verification and calibration function. By comparing with experimental data or historical operation data from actual industrial sites, the constructed fluid mechanics model is verified and calibrated, and model parameters, such as fluid physical properties and turbulence model coefficients, are adjusted to improve the accuracy and reliability of the model. The model verification and calibration process can be performed automatically or manually intervened by the user.

[0020] Furthermore, the user interaction module supports virtual reality (VR) or augmented reality (AR) technology, and users can immersively view simulation results through VR / AR devices and perform interactive operations such as zooming, rotating, and translating models, and marking key areas, thereby enhancing user experience and understanding of simulation results.

[0021] Furthermore, a computer-readable storage medium stores a computer program thereon, characterized in that when the computer program is executed by a processor, the functions of the industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions are realized.

[0022] Compared with the prior art, the present invention has the following beneficial effects: First, the accuracy and reliability of the simulation are improved. The real-time monitoring module collects the actual operating parameters of the industrial fluid and feeds them back into the simulation calculation, which can correct the model and calculation parameters in real time, making the simulation results closer to the actual working conditions. For example, in chemical production, the concentration distribution and reaction rate in the fluid mixing process can be accurately predicted, providing a reliable basis for optimizing the production process, reducing production problems caused by simulation errors, and improving product quality and production efficiency.

[0023] Secondly, it realizes the real-time optimization control of industrial processes. The result analysis and feedback module generates feedback information based on the comparison between simulation results and actual data, and guides the adjustment of operating parameters of industrial field equipment. This enables industrial production to be dynamically optimized according to actual conditions. For example, in oil and gas pipeline transportation, the operating frequency of the pump is adjusted according to real-time monitoring parameters such as pressure and flow, reducing energy consumption and improving transportation efficiency, while ensuring the safe operation of the pipeline and reducing equipment loss and maintenance costs.

[0024] Furthermore, it shortens the product development cycle and cost. In the process of product development in the aerospace and other fields, this system can be used to quickly evaluate the fluid mechanics performance of different design schemes, find problems in time and make improvements. Since the simulation is closely integrated with the actual situation, it can reduce the number of physical experiments, save experimental costs, and accelerate the process from product design to commissioning.

[0025] In addition, the system's intelligence and user experience have been improved. The user interaction module provides a friendly graphical user interface and multiple interaction methods to facilitate users to operate and manage the simulation process. It supports multi-language interfaces and virtual reality technologies to meet the needs of different users, enhance users' understanding and analysis of simulation results, and promote technicians to better use simulation systems for industrial optimization and innovation.

[0026] Finally, the system has good scalability and adaptability. It supports distributed simulation computing, multiple model import formats, and custom boundary conditions, so that it can adapt to industrial scenarios of different scales and complexities. With the development of industrial technology, it can easily expand and upgrade its functions, providing strong support for the sustainable development of the industrial field. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a schematic block diagram of the industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions proposed by the present invention. DETAILED DESCRIPTION

[0028] 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.

[0029] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0030] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0031] Reference Figure 1 : An industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions, comprising: The model building module is used to build a three-dimensional fluid mechanics model based on the physical structure and fluid characteristics of industrial equipment or process flows. It supports the import of models in multiple formats, such as CAD and STL file formats, and has model preprocessing functions, including model repair, simplification, and meshing. The meshing uses an adaptive algorithm to automatically adjust the mesh density according to the fluid flow characteristics, ensuring calculation accuracy while improving calculation efficiency.

[0032] The boundary condition setting module allows users to flexibly set the boundary conditions of the simulation model, such as inlet velocity, outlet pressure, and wall roughness. It provides a variety of preset boundary condition templates that can be quickly selected according to different industrial scenarios. It supports custom boundary condition functions to adapt to complex and changeable industrial realities. It also has a boundary condition validity check function to avoid inaccurate simulation results due to incorrect settings.

[0033] The real-time monitoring module is connected to industrial field equipment through a sensor network to collect the actual operating parameters of the fluid, such as flow rate, pressure, temperature, and flow rate. The sensor has high precision and high reliability. The data collection frequency can be adjusted according to demand, up to 1000Hz. The collected data is pre-processed, including filtering and data calibration, to ensure the accuracy of the data, and then transmitted to the simulation system.

[0034] The simulation calculation module receives information from the model building module and the boundary condition setting module, as well as the actual operating parameters of the real-time monitoring module. It uses the finite volume method or the finite element method to perform numerical calculations of fluid mechanics. During the calculation process, the calculation parameters, such as the time step and relaxation factor, can be dynamically adjusted according to the real-time monitoring data to improve the stability and accuracy of the calculation. It supports parallel computing and uses multi-core CPUs or GPUs to accelerate the calculation process and shorten the calculation time.

[0035] The result analysis and feedback module visualizes the simulation calculation results and displays the velocity distribution, pressure distribution, temperature distribution and other information of the fluid in the form of two-dimensional charts, three-dimensional cloud maps, streamline diagrams, etc. It has the function of result comparison and analysis, compares the simulation results with the real-time monitoring data, calculates error indicators such as root mean square error and mean absolute error, generates feedback information based on the comparison results, guides the adjustment of operating parameters of industrial field equipment, and realizes optimization control.

[0036] The user interaction module provides a friendly graphical user interface to facilitate users to operate and manage the entire simulation process, including model construction, boundary condition setting, simulation start and stop, and result viewing. It supports multi-language interface to meet the needs of different users and has user authority management function. Different operation permissions are assigned according to user roles to ensure system security.

[0037] In the present invention, the adaptive grid division algorithm in the model building module automatically adjusts the grid density according to the local Reynolds number, velocity gradient, pressure gradient and other physical quantities of the fluid, densifies the grid in the area where the fluid flow changes violently, and appropriately sparses the grid in the area where the flow is relatively stable. The specific formula is: ,in is the grid size, is the initial grid size, is the Reynolds number, velocity gradient, is the pressure gradient, To adjust the function, it is determined based on a large amount of experimental data and numerical simulation experience.

[0038] In the present invention, the sensor in the real-time monitoring module adopts wireless transmission technology, such as Wi-Fi, Bluetooth or ZigBee, to establish a stable data transmission link with the simulation system. The transmission protocol adopts a safe and reliable encryption protocol, such as SSL / TLS protocol, to ensure the confidentiality and integrity of the data transmission process. The sensor has a low power consumption mode and can be powered by a battery or energy harvesting technology (such as solar energy, thermal energy) to extend the service life of the sensor.

[0039] In the present invention, the calculation process of the simulation calculation module integrates multiple advanced technologies to ensure efficient and accurate simulation of industrial fluid mechanics phenomena.

[0040] For finite volume method or finite element method calculations, multigrid technology plays a key role. Its principle is to accelerate the convergence process by constructing a grid hierarchy with different resolutions. Let the finest grid layer be G1 and the coarsest grid layer be G n , perform initial calculations on the finest grid G1 to obtain an approximate solution u1. Then restrict the solution to the coarser grid layer G2, perform error correction calculations on G2, obtain a new solution u2, and then interpolate u2 back to G1, and repeat this process between grids of different resolutions. This process can be expressed as: Let A h is a discrete operator on a fine grid, A H is the discretization operator on the coarse grid, R is the restriction operator, P is the interpolation operator, and f h is the source term on the fine grid, f H is the source term on the coarse grid, is the solution of the kth iteration on the fine grid, is the solution of the th iteration on the coarse grid, then , , , which effectively reduces the calculation time.

[0041] At the same time, the implicit time-marching algorithm is adopted to improve the computational stability. When solving transient problems in fluid mechanics, such as (where u is the physical quantity to be solved and L(u) is the spatial discretization operator). The implicit time marching algorithm implicitly discretizes the time derivative term, for example, using the backward difference formula , and then solve the linear equations to get the solution for the next time step ,Compared with the explicit algorithm, it has fewer restrictions on the time step, thus enhancing the stability of the calculation.

[0042] For nonlinear problems, Newton's iteration method or Picard's iteration method comes into play. Taking Newton's iteration method as an example, for the nonlinear equation F(u)=0, its iteration formula is ,in For F(u) The Jacobian matrix at . By continuously iterating and approximating the exact solution, the accuracy of the calculation results is ensured, providing reliable data support for industrial fluid mechanics simulation.

[0043] In the present invention, the visualization processing in the result analysis and feedback module adopts a graphics library based on OpenGL or VTK to achieve high-quality graphics rendering. The result comparison and analysis function can automatically generate a comparison report, including comparison charts and error analysis tables. The feedback information is presented to the user in an intuitive manner, such as the recommended adjustment of the equipment operating parameter value and the adjustment direction (increase or decrease).

[0044] In the present invention, the system has historical data storage and management functions, stores simulation calculation results, real-time monitoring data, and user operation records, and the data storage format adopts a standardized format, such as HDF5 or NetCDF, which facilitates data query, analysis and sharing, supports data backup and recovery functions, and ensures data security and reliability.

[0045] In the present invention, the distributed simulation computing function supported by the system provides powerful computing power and high scalability for processing large and complex simulation tasks.

[0046] When faced with a large simulation task, the system first uses the task decomposition algorithm to scientifically and rationally decompose it into multiple subtasks based on factors such as the model structure, computational complexity, and data relevance. For example, when simulating fluid mechanics phenomena in a large chemical production process, the task can be decomposed according to the fluid characteristics of different stages or regions of the process. Let the total simulation task be T, and the decomposed subtask set be {t1, t2...t n}, satisfying T=t1+t2...+t n .

[0047] These subtasks are assigned to multiple computing nodes for parallel computing. The computing nodes are connected by high-speed networks, such as InfiniBand or Ethernet, to ensure fast data transmission. The system uses efficient task scheduling algorithms, such as priority-based scheduling algorithms or dynamic load balancing algorithms. Priorities can be set based on factors such as the urgency of the subtask and the amount of computing. Suppose subtask t i The priority is p i , the computational effort is c i ,The system assigns subtasks to appropriate computing nodes based on these parameters.

[0048] During the task execution, the system has perfect management functions. In order to ensure the coordinated operation and data exchange of each subtask, the system has established a communication protocol and data sharing mechanism. For data exchange, the message passing interface (MPI) and other technologies are used to realize data transmission between computing nodes. Assume that the amount of data transmitted from node A to node B is d, and the transmission rate is r, then the transmission time t=d / r. The system reduces the transmission time and improves the computing efficiency by optimizing the network configuration and data transmission strategy.

[0049] At the same time, the system also has a fault-tolerant mechanism. When a computing node fails, it can detect and reallocate the subtasks on the node to other normal nodes in time to ensure the continuity of the entire simulation calculation. Through this distributed simulation computing architecture, the computing power of the system has been significantly improved, and the scalability has been greatly enhanced. It can adapt to the growing needs of industrial fluid mechanics simulation and provide strong support for the analysis and optimization of complex industrial systems.

[0050] In the present invention, the model verification and calibration functions of the system play a vital role, which effectively improves the accuracy and reliability of the model through a series of rigorous and scientific processes.

[0051] When comparing with actual industrial field data, the system first obtains data from multiple data sources, including experimental data collected by special experimental equipment and historical operation data accumulated over a long period of time. For experimental data, the collection process strictly follows scientific experimental specifications to ensure the accuracy and representativeness of the data. The historical operation data covers the operation information of the equipment under different working conditions and different time periods.

[0052] The system uses advanced data processing technology to pre-process the acquired data. For experimental data, data cleaning will be performed to remove outliers and erroneous data, and the data will be standardized to make it comparable with the model calculation results. For historical operation data, data mining technology is used to extract key feature information to highlight the changes in fluid mechanics characteristics under different working conditions.

[0053] In the model verification phase, the system uses a variety of statistical analysis methods to calculate the difference between the model calculation results and the actual data. For example, it calculates indicators such as the root mean square error (RMSE) and the mean absolute error (MAE) to comprehensively evaluate the accuracy of the model in terms of velocity distribution, pressure distribution, flow prediction, etc. Based on these error indicators, the system can accurately locate the deviations in the model.

[0054] When calibrating the model, the system uses optimization algorithms to automatically adjust the model parameters that need to be adjusted, such as fluid physical parameters (density, viscosity, etc.) and turbulence model coefficients. Common optimization algorithms include genetic algorithms, particle swarm optimization algorithms, etc. These algorithms continuously iterate to find the parameter combination that minimizes the difference between the model calculation results and the actual data. At the same time, the system also allows users to manually intervene in the calibration process. Users can adjust specific parameters based on their own professional knowledge and experience to adapt to special working conditions or complex situations. For example, in some extreme working conditions, users can manually fine-tune the turbulence model coefficients based on actual observations and judgments to make the model more in line with the actual situation. By combining automatic and manual methods, it is ensured that the model can maintain high accuracy and reliability in various complex industrial scenarios.

[0055] In the present invention, the user interaction module provides strong support for virtual reality (VR) and augmented reality (AR) technologies, thereby bringing users unprecedented immersive experience and convenient interactive operations.

[0056] In terms of virtual reality (VR) technology, the user interaction module is deeply integrated with professional VR devices (such as HTC Vive, Oculus Rift, etc.), and uses its advanced tracking system, including head tracking, hand tracking (through handles or other somatosensory devices) and eye tracking technology (if the device supports it), to accurately obtain the user's movement and line of sight information. When the user enters the VR environment to view the simulation results, the system adjusts the display perspective and position of the simulation model in real time based on these tracking data to achieve smooth and natural zoom, rotation and translation operations. For example, when the user turns his head, the simulation scene will change the perspective accordingly, as if the user is immersed in the industrial fluid mechanics scene; the user can easily zoom the model through the button operation or gesture action (such as grabbing, pushing, etc.) of the handle to carefully observe the local details of the model, or rotate the model to analyze the flow characteristics of the fluid from different angles, and translate the model to explore the entire simulation space. At the same time, users can also use the interactive function of the VR device to mark key areas on the simulation model through specific operation methods (such as pressing the button on the handle and coordinating hand movements). These annotations can be presented in the form of virtual lines, graphics or text comments and can be saved in real time, making it convenient for users to view and share analysis results with other people later, greatly enhancing users' understanding of simulation results and communication efficiency.

[0057] In support of augmented reality (AR) technology, the user interaction module uses the AR function on mobile devices (such as smartphones or tablets) or special AR head-mounted devices (such as Microsoft HoloLens, etc.) to present the simulation results to users in a virtual-real fusion manner. The system accurately identifies the actual spatial position and direction of the user through the device's camera to capture real-world environment information, and then accurately superimposes the simulation model on the real scene. When viewing the simulation results, users can use their fingers to touch the screen (for mobile devices) or gestures (for head-mounted devices) to scale, rotate, and translate the model, just like operating real objects in reality. For example, in a factory workshop, users can use AR devices to view the fluid mechanics simulation results of a certain device, and can directly superimpose the simulation model on the device entity, scale the model through gestures, intuitively compare the differences between the simulation and the actual device, rotate the model to view the flow conditions at different angles, and translate the model to adapt to different observation positions. When marking key areas, users can directly draw annotation information at the corresponding positions in the real scene through touch or gestures. These annotations will be closely integrated with the real scene, enhancing users' understanding of the relationship between simulation results and actual industrial environment, and providing strong support for on-site technical analysis and decision-making.

[0058] By integrating VR and AR technologies into the user interaction module, it not only improves the immersion and interactivity of the user experience, but more importantly, it breaks the limitations of traditional two-dimensional interfaces in displaying and understanding complex three-dimensional simulation results, allowing users to explore the principles behind industrial fluid mechanics phenomena more deeply and intuitively, thereby providing more efficient and innovative solutions for application scenarios such as optimization design, fault diagnosis, training and education in industrial production processes.

[0059] A computer-readable storage medium plays a key role in the present invention. This storage medium has the ability to store computer programs. Its uniqueness lies in that when the computer program is executed by a processor, it can fully and accurately realize the complex functions of the industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions.

[0060] The computer-readable storage medium can be in various forms, such as common hard disks, solid-state drives, USB flash drives, optical disks, etc., which provide stable physical storage space for computer programs. The computer programs stored therein contain a series of instructions and algorithms that are carefully designed and written to simulate various phenomena and processes in industrial fluid mechanics.

[0061] When the processor executes the program, it will first start the relevant instructions of the model building module, and accurately build a three-dimensional fluid mechanics model based on the physical structure of industrial equipment or process flow and fluid characteristics. It supports the import of models in multiple formats such as CAD and STL, and can use pre-processing functions such as model repair, simplification, and meshing. In particular, meshing uses an adaptive algorithm to automatically adjust the mesh density according to the fluid flow characteristics, greatly improving the calculation efficiency while ensuring the calculation accuracy.

[0062] Then, the instructions of the boundary condition setting module are executed, allowing users to flexibly set the boundary conditions of the simulation model according to actual needs, such as inlet velocity, outlet pressure, wall roughness, etc. The system provides a variety of preset boundary condition templates, which are convenient for users to quickly select according to different industrial scenarios. At the same time, it supports custom boundary condition functions to adapt to the complex and changeable actual industrial situation. It also has a boundary condition validity check function to effectively avoid inaccurate simulation results due to incorrect settings.

[0063] In terms of real-time monitoring, the processor executes the corresponding instructions in the program, establishes a connection with industrial field equipment through the sensor network, and collects the actual operating parameters of the fluid in real time, including flow rate, pressure, temperature, flow rate, etc. The sensor has high precision and high reliability, and the data collection frequency can be adjusted according to actual needs, up to 1000Hz. The collected data is pre-processed, such as filtering, data calibration and other operations to ensure the accuracy of the data, and then transmitted to the simulation system to provide real-time and reliable data support for subsequent calculations and analysis.

[0064] Driven by the processor, the simulation calculation module receives information from the model building module, boundary condition setting module and real-time monitoring module, and uses the finite volume method or finite element method to perform complex fluid mechanics numerical calculations. During the calculation process, the calculation parameters, such as time step, relaxation factor, etc., can be dynamically adjusted according to the real-time monitoring data to improve the stability and accuracy of the calculation. At the same time, it supports parallel computing, fully utilizes the powerful computing power of multi-core CPU or GPU, accelerates the calculation process, effectively shortens the calculation time, and enables the simulation results to be fed back to users more promptly.

[0065] When the instructions of the result analysis and feedback module are executed, the simulation calculation results will be visualized, and key information such as velocity distribution, pressure distribution, and temperature distribution of the fluid will be displayed in intuitive forms such as two-dimensional charts, three-dimensional cloud maps, and streamline diagrams. It has a powerful result comparison and analysis function, which can carefully compare the simulation results with the real-time monitoring data, calculate error indicators such as root mean square error and mean absolute error, and generate accurate feedback information based on the comparison results to guide the adjustment of operating parameters of industrial field equipment and achieve optimized control of industrial processes.

[0066] Finally, the instructions of the user interaction module enable the system to provide a friendly graphical user interface, which allows users to easily operate and manage the entire simulation process, including model construction, boundary condition setting, simulation start and stop, result viewing, etc. It supports multi-language interfaces to meet the needs of different user groups, and has a complete user authority management function. Different operating permissions are reasonably allocated according to user roles to ensure the security and stability of the system, providing users with an efficient, convenient and safe experience.

[0067] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions, characterized in that: include: Model building module, used to build 3D fluid mechanics models based on the physical structure and fluid characteristics of industrial equipment or process flow, supports model import in multiple formats, and has model preprocessing functions, including model repair, simplification, and meshing. The meshing uses an adaptive algorithm to automatically adjust the mesh density according to the fluid flow characteristics. The boundary condition setting module allows users to flexibly set the boundary conditions of the simulation model, including inlet velocity, outlet pressure, and wall roughness. It provides a variety of preset boundary condition templates for quick selection according to different industrial scenarios and supports custom boundary condition functions to adapt to complex and changeable industrial realities. The real-time monitoring module is connected to the industrial field equipment through the sensor network to collect the actual operating parameters of the fluid in real time, including flow rate, pressure, temperature, and flow rate. The data collection frequency can be adjusted according to demand, up to 1000Hz. The collected data is pre-processed, including filtering and data calibration, to ensure the accuracy of the data, and then transmitted to the simulation system; The simulation calculation module receives information from the model building module and the boundary condition setting module, as well as the actual operating parameters of the real-time monitoring module, and uses the finite volume method or the finite element method to perform numerical calculations of fluid mechanics. During the calculation process, the calculation parameters can be dynamically adjusted according to the real-time monitoring data, including the time step and relaxation factor. It supports parallel calculations and uses multi-core CPUs or GPUs to accelerate the calculation process. The result analysis and feedback module visualizes the simulation results and displays the velocity distribution, pressure distribution, and temperature distribution information of the fluid in the form of two-dimensional charts, three-dimensional cloud charts, and streamline diagrams. It has the function of result comparison and analysis, compares the simulation results with the real-time monitoring data, and calculates the error indicators, including the root mean square error and the mean absolute error. It generates feedback information based on the comparison results to guide the adjustment of the operating parameters of the industrial field equipment and achieve optimization control. The user interaction module provides a graphical user interface to facilitate users to operate and manage the entire simulation process, including model construction, boundary condition setting, simulation start and stop, and result viewing. It supports multi-language interface and has user authority management function to assign different operation permissions according to user roles.

2. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The adaptive meshing algorithm in the model building module automatically adjusts the mesh density according to the local Reynolds number, velocity gradient, and pressure gradient physical quantities of the fluid, densifies the mesh in areas where the fluid flow changes violently, and appropriately sparses the mesh in areas where the flow is relatively stable. The specific formula is: ,in is the grid size, is the initial grid size, is the Reynolds number, velocity gradient, is the pressure gradient, To adjust the function.

3. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The sensors in the real-time monitoring module use wireless transmission technology, such as Wi-Fi, Bluetooth or ZigBee, to establish a stable data transmission link with the simulation system. The transmission protocol uses a secure and reliable encryption protocol, such as SSL / TLS protocol, to ensure confidentiality and integrity during data transmission. The sensor has a low power consumption mode and can be powered by a battery or energy harvesting technology to extend the service life of the sensor.

4. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: In the finite volume method or finite element method calculation process in the simulation calculation module, multi-grid technology is used to accelerate convergence, and the calculation time is reduced by iteratively solving on grids with different resolutions. At the same time, an implicit time-marching algorithm is used to improve the calculation stability. For nonlinear problems, Newton iteration method or Picard iteration method is used for solution.

5. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The visualization processing in the result analysis and feedback module adopts a graphics library based on OpenGL or VTK to achieve high-quality graphics rendering. The result comparison and analysis function can automatically generate a comparison report, including comparison charts and error analysis tables. The feedback information is presented to the user in an intuitive manner, including the recommended adjustment of the equipment operating parameter values ​​and the adjustment direction to increase or decrease.

6. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The system has the function of storing and managing historical data, storing simulation calculation results, real-time monitoring data, and user operation records. The data storage format adopts a standardized format, including HDF5 or NetCDF, which facilitates data query, analysis and sharing, and supports data backup and recovery functions.

7. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The system supports distributed simulation computing, decomposing large simulation tasks into multiple subtasks, and distributing them to multiple computing nodes for parallel computing. The computing nodes are connected through high-speed networks, including InfiniBand or Ethernet, and have task scheduling and management functions.

8. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The system has model verification and calibration functions. By comparing with experimental data or historical operation data of actual industrial sites, the constructed fluid mechanics model is verified and calibrated, and model parameters such as fluid physical properties and turbulence model coefficients are adjusted to improve the accuracy and reliability of the model. The model verification and calibration process can be carried out automatically or manually intervened by the user.

9. The industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions according to claim 1 is characterized in that: The user interaction module supports virtual reality VR or augmented reality AR technology, and users can immersively view simulation results and perform interactive operations through VR or AR devices.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the functions of the industrial fluid mechanics intelligent simulation system with real-time monitoring and feedback functions as described in any one of claims 1 to 9 are realized.

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