Compressed air energy storage visualization dynamic simulation method

Abstract

The invention relates to the technical field of new energy, and discloses a compressed air energy storage visual dynamic simulation method, which comprises the following steps: constructing a compressed air energy storage three-dimensional power station model based on a design drawing and design parameters of a compressed air energy storage power station; constructing a three-dimensional motion simulation model based on the design parameters; based on a finite element method, constructing a temperature field and flow field simulation model of the compressed air energy storage system; and constructing a compressed air energy storage three-dimensional visual model based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model. By integrating geometric modeling, kinematics and thermodynamic analysis, full-process simulation of the compressed air energy storage power station system from mechanical motion to energy conversion is achieved, limitation of traditional single physical field simulation can be avoided, and the goodness of fit between a simulation result and actual operation is improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a method for visualizing dynamic simulation of compressed air energy storage. Background Art

[0002] To address the increasingly severe energy crisis and environmental pollution, renewable energy is gradually replacing fossil fuels as the primary energy source. Large-scale access to renewable energy sources, such as wind power and photovoltaics, is characterized by intermittency, volatility, and randomness. These inherent characteristics impact the quality and stability of power supply. Furthermore, as the peak-to-valley difference in grid load continues to widen, the user side exhibits strong randomness, and the intelligent transformation of distribution networks has created a greater demand for flexible regulation resources. Therefore, to address these issues, it is necessary to further increase the power system's large-scale flexible energy storage resources to enhance the system's ability to absorb new energy. Compressed air energy storage technology is a large-scale energy storage technology with outstanding advantages, such as independence from environmental factors, high energy storage efficiency, and good economic performance. This technology can effectively complement the shortcomings of pumped hydropower storage technology and achieve peak-to-valley shifting in the power system.

[0003] Compressed air energy storage systems involve the interaction of multiple physical processes, with interconnected subsystems and components influencing each other. This results in a complex operation process and involves numerous state parameters. Currently, models for compressed air energy storage power plants are primarily thermodynamic or dynamic models, displaying the plant's operating status using parameter tables or operating curves. This makes it difficult to intuitively observe the plant's real-time dynamic operating status, making it difficult to quickly and easily monitor plant operations and apply appropriate control measures. Summary of the Invention

[0004] In view of this, the present invention provides a method for visual dynamic simulation of compressed air energy storage to solve the problem in related technologies that the compressed air energy storage power station model represented by a thermodynamic model or a dynamic model displays the operating status of the power station in the form of a parameter table or an operating curve, which makes it inconvenient for people to intuitively observe the dynamic operating status of the power station and difficult to conveniently and quickly monitor the operation of the power station and apply corresponding control measures.

[0005] In a first aspect, the present invention provides a method for visual dynamic simulation of compressed air energy storage, the method comprising: constructing a three-dimensional compressed air energy storage power station model based on the design drawings and design parameters of the compressed air energy storage power station; constructing a three-dimensional motion simulation model based on the design parameters; constructing a temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method; constructing a three-dimensional visualization model of compressed air energy storage based on the three-dimensional compressed air energy storage power station model, the three-dimensional motion simulation model and the temperature field and flow field simulation model of the compressed air energy storage system.

[0006] In an optional embodiment, the aforementioned compressed air energy storage visualization dynamic simulation method also includes: obtaining multi-dimensional heterogeneous data from a compressed air energy storage power station; transmitting the multi-dimensional heterogeneous data to a compressed air energy storage three-dimensional visualization model, and presenting the operating status of the compressed air energy storage power station based on the compressed air energy storage three-dimensional visualization model.

[0007] In an optional embodiment, constructing a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station includes: constructing a power station component-level three-dimensional model based on the design drawings and design parameters, wherein the power station component-level three-dimensional model includes a compressor model, a turbine model and a gas storage reservoir model; based on the layout of the compressed air energy storage power station, the relative position relationship and assembly relationship between the components, combining the three-dimensional models of the power station component level to obtain a power station system-level three-dimensional model; based on the environmental parameter information of the compressed air energy storage power station, constructing a three-dimensional power station environmental model; based on the energy flow conversion relationship between the components, calculating the port state variables under different working conditions; integrating the power station system-level three-dimensional model, the three-dimensional power station environmental model and the port state variables under different working conditions to obtain a compressed air energy storage three-dimensional power station model.

[0008] In an optional embodiment, constructing a three-dimensional motion simulation model based on design parameters includes: constructing a first shaft system three-dimensional model based on the design parameters; constructing a rotary motion shaft system model based on the first-stage components and the second-stage components, wherein the first-stage components include a multi-stage compressor and an electric motor, and the second-stage components include a multi-stage turbine and a generator; based on multi-body dynamics software, coupling the first shaft system three-dimensional model and the rotary motion shaft system model to obtain a three-dimensional motion simulation model.

[0009] In an optional embodiment, based on the finite element method, constructing a temperature field and flow field simulation model of a compressed air energy storage system includes: based on the finite element method, constructing a plurality of fluid microelement models, wherein the plurality of fluid microelement models include an air microelement model and a thermal oil microelement model; obtaining the temperature field and flow field change distribution of the flow process of a plurality of fluids, and obtaining a temperature field and flow field simulation model of the compressed air energy storage system based on the plurality of fluid microelement models and the temperature field and flow field change distribution.

[0010] In an optional embodiment, based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model, constructing a compressed air energy storage three-dimensional visualization model includes: based on the data interface and software integration, connecting the output data of the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model with the compressed air energy storage three-dimensional power station model to obtain a connection result; and constructing the compressed air energy storage three-dimensional visualization model based on the connection result.

[0011] In an optional embodiment, the aforementioned compressed air energy storage visualization dynamic simulation method further includes: projecting the compressed air energy storage three-dimensional visualization model onto a holographic display device; and presenting the operation results to the user in response to the user's operation on the holographic display device.

[0012] In a second aspect, the present invention provides a device for visual dynamic simulation of compressed air energy storage, the device comprising: a first construction module for constructing a three-dimensional compressed air energy storage power station model based on the design drawings and design parameters of the compressed air energy storage power station; a second construction module for constructing a three-dimensional motion simulation model based on the design parameters; a third construction module for constructing a temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method; a simulation module for constructing a three-dimensional visualization model of compressed air energy storage based on the three-dimensional compressed air energy storage power station model, the three-dimensional motion simulation model and the temperature field and flow field simulation model of the compressed air energy storage system.

[0013] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to thereby execute a method for visual dynamic simulation of compressed air energy storage according to the first aspect or any corresponding embodiment thereof.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute a method for visual dynamic simulation of compressed air energy storage according to the first aspect or any corresponding embodiment thereof.

[0015] In a fifth aspect, the present invention provides a computer program product comprising computer instructions, which are used to enable a computer to execute a method for visual dynamic simulation of compressed air energy storage according to the first aspect or any corresponding embodiment thereof.

[0016] This embodiment provides a method for visualizing dynamic simulation of compressed air energy storage. By integrating geometric modeling, kinematics, and thermodynamics analysis, this method simulates the entire process of a compressed air energy storage power station system, from mechanical motion to energy conversion. This method avoids the limitations of traditional single-physics field simulation and improves the consistency between simulation results and actual operation. Furthermore, the three-dimensional visualization model of compressed air energy storage can dynamically display temperature fields, flow field distributions, and component motion trajectories, helping users intuitively understand the complex physical processes within the system. Furthermore, based on the three-dimensional visualization model of compressed air energy storage, parameter sensitivity analysis can be quickly performed, and multiple schemes can be compared without building a physical prototype, shortening the R&D cycle and reducing experimental costs. Based on the three-dimensional visualization model of compressed air energy storage, the operating status of the actual power station is mapped in real time. By comparing simulation and measured data, equipment anomalies can be quickly located, guiding the formulation of operation and maintenance strategies, and reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in related technologies, the following briefly introduces the drawings required for use in the specific embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A schematic flow chart of a method for visualizing dynamic simulation of compressed air energy storage according to an embodiment of the present invention is shown;

[0019] Figure 2 A schematic structural diagram of a three-dimensional visualization model of compressed air energy storage provided by an embodiment of the present invention is shown;

[0020] Figure 3 A schematic structural diagram of a device for visual dynamic simulation of compressed air energy storage according to an embodiment of the present invention is shown;

[0021] Figure 4 It is a structural diagram of a computer device provided by an optional embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0023] According to an embodiment of the present invention, an embodiment of a method for visualizing dynamic simulation of compressed air energy storage is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] In this embodiment, a method for visualizing dynamic simulation of compressed air energy storage is provided, which can be used on mobile terminals such as mobile phones, tablet computers, desktop computers, or laptop computers. Figure 1 A flow chart of a method for visualizing dynamic simulation of compressed air energy storage according to an embodiment of the present invention is shown. Figure 1 As shown, the process includes the following steps:

[0025] Step S101: construct a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station.

[0026] In this step, based on the design drawings and design parameters of the compressed air energy storage power station, a geometric solid model of the compressed air energy storage power station can be constructed through 3D modeling software to achieve digital mapping of the physical system. This can provide precise geometric boundary conditions for subsequent motion simulation and physical field analysis, and is the spatial foundation of the entire simulation.

[0027] Specifically, after obtaining the design drawings and design parameters of the compressed air energy storage power station, a component-level 3D model can be created using 3D modeling software, such as Blender. According to the power station system layout, the component-level 3D models are combined into a system-level 3D model to ensure that the relative position relationship of the components is the same as the actual assembly of the compressed air energy storage power station.

[0028] Detailed information such as the compressed air energy storage power station's geographic location, building structure, equipment layout, pipeline routing, and plant construction is collected and connected to a real-time weather forecast system. A three-dimensional power station environmental model of the power station's surroundings is constructed using ThreeDimensions (3D) modeling software. Based on the multi-energy flow conversion relationship formulas of major components such as the compressor, turbine, and heat exchanger, port state variables such as temperature, pressure, and mass flow rate are calculated under different operating conditions of the entire system, and these variables are bound to the corresponding positions on the compressed air energy storage 3D power station model.

[0029] In step S102, a three-dimensional motion simulation model is constructed based on the design parameters.

[0030] In this step, based on the design parameters and incorporating multibody dynamics theory, dynamic equations for the moving parts are established to simulate their displacement, velocity, acceleration, and forces during operation. This coupling of mechanical motion and fluid dynamics provides dynamic boundary conditions for temperature and flow field simulations.

[0031] Specifically, a three-dimensional model of the first shaft system can be constructed based on real design data, and a rotating motion shaft system model can be constructed based on the first-level components and the second-level components. Based on the rotating motion shaft system model, state information such as real-time speed and rotational oscillation can be solved, and based on the compressed air energy storage three-dimensional power station model, the real-time speed and vibration simulation of the rotating components can be reflected.

[0032] Step S103: constructing a temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method.

[0033] In this step, the finite element analysis (FEA) method or the computational fluid dynamics (CFD) method can be used to discretize the compressed air energy storage three-dimensional power station model into a grid, establish the energy equation, momentum equation and continuity equation in the air compression and expansion process, and solve the temperature distribution and air flow velocity and pressure distribution.

[0034] Specifically, based on the finite element analysis method, a microelement model can be constructed that comprehensively considers multiple fluids such as air and thermal oil in the pipeline. Through multi-physics field simulation software such as Fluent, the temperature field and flow field change distribution of the fluid flow process can be simulated, and the simulation results can be bound to the corresponding components of the compressed air energy storage three-dimensional power station model.

[0035] Step S104: constructing a compressed air energy storage three-dimensional visualization model based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model, and the compressed air energy storage system temperature field and flow field simulation model.

[0036] In this step, the geometric information in the compressed air energy storage three-dimensional power station model, the dynamic data of the components in the motion simulation of the compressed air energy storage three-dimensional power station model, and the physical parameters of the temperature field and flow field in the compressed air energy storage system temperature field and flow field simulation model are coupled. An interactive three-dimensional model is generated through the visualization engine to display the system operation status in real time.

[0037] Through the three-dimensional visualization model of compressed air energy storage, a real-time display and animation display system of state variables is carried out to intuitively show the shaft rotation motion and the working fluid flow process inside the equipment and pipeline, and provide a visual dynamic observation view of the temperature field and flow field.

[0038] This embodiment provides a method for visualizing dynamic simulation of compressed air energy storage. By integrating geometric modeling, kinematics, and thermodynamics analysis, this method simulates the entire process of a compressed air energy storage power station system, from mechanical motion to energy conversion. This method avoids the limitations of traditional single-physics field simulation and improves the consistency between simulation results and actual operation. Furthermore, the three-dimensional visualization model of compressed air energy storage can dynamically display temperature fields, flow field distributions, and component motion trajectories, helping users intuitively understand the complex physical processes within the system. Furthermore, based on the three-dimensional visualization model of compressed air energy storage, parameter sensitivity analysis can be quickly performed, and multiple schemes can be compared without building a physical prototype, shortening the R&D cycle and reducing experimental costs. Based on the three-dimensional visualization model of compressed air energy storage, the operating status of the actual power station is mapped in real time. By comparing simulation and measured data, equipment anomalies can be quickly located, guiding the formulation of operation and maintenance strategies, and reducing maintenance costs.

[0039] In some optional embodiments, the aforementioned compressed air energy storage visualization dynamic simulation method also includes: obtaining multi-dimensional heterogeneous data from a compressed air energy storage power station; transmitting the multi-dimensional heterogeneous data to a compressed air energy storage three-dimensional visualization model, and presenting the operating status of the compressed air energy storage power station based on the compressed air energy storage three-dimensional visualization model.

[0040] In this embodiment, a sensor cluster can be deployed on the power station side, and a multi-agent cluster can be constructed based on distributed computing to intelligently integrate the collected multi-dimensional heterogeneous data and then transmit it to the compressed air energy storage three-dimensional visualization model for real-time display. Based on the compressed air energy storage three-dimensional visualization model, a remote operating system is constructed to realize 3D simulation operation of the operator through augmented reality (AR) and virtual reality (VR) systems, and then control the remote power station through remote actuators. Among them, the multi-dimensional heterogeneous data includes one or more of equipment sensor data, control system data, historical data and external system data.

[0041] In this way, real-time access to power plant operation data and dynamic calibration of the boundary conditions in the compressed air energy storage three-dimensional visualization model can avoid deviations between static simulation and actual operation, thereby improving the real-time performance and accuracy of the compressed air energy storage three-dimensional visualization model. At the same time, the visualization interface of the compressed air energy storage three-dimensional visualization model converts complex data into intuitive graphics, which can reduce the cognitive load of operation and maintenance personnel.

[0042] In some optional embodiments, constructing a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station includes: constructing a power station component-level three-dimensional model based on the design drawings and design parameters, wherein the power station component-level three-dimensional model includes a compressor model, a turbine model and a gas storage reservoir model; based on the layout of the compressed air energy storage power station, the relative position relationship and assembly relationship between the components, combining the three-dimensional models of the power station component level to obtain a power station system-level three-dimensional model; based on the environmental parameter information of the compressed air energy storage power station, constructing a three-dimensional power station environmental model; based on the energy flow conversion relationship between the components, calculating the port state variables under different working conditions; integrating the power station system-level three-dimensional model, the three-dimensional power station environmental model and the port state variables under different working conditions to obtain a compressed air energy storage three-dimensional power station model.

[0043] In this implementation, obtaining the design drawings and parameters of the compressed air energy storage power station ensures the accuracy and completeness of the simulation data. First, 3D modeling software, such as Blender, can be used to create component-level 3D models of the power station based on the design drawings. These include models of the compressor, turbine, gas storage reservoir, thermal storage reservoir, and auxiliary equipment.

[0044] Secondly, based on the layout of the compressed air energy storage power station, the relative positional relationships between components, and their assembly relationships, the component-level 3D models of each power station can be combined to create a system-level 3D model of the power station. This model is then verified to ensure the accuracy and completeness of the system-level 3D model and that the system-level 3D model is consistent with the actual power station assembly. A detailed database of the power station's surrounding environment can be established by researching and collecting geographic information, architectural drawings, equipment layout and pipeline routing drawings, and plant construction data. Furthermore, access to a real-time weather forecast system ensures that the database contains the latest meteorological data, providing an accurate information foundation for the subsequent creation of the compressed air energy storage 3D power station model.

[0045] Thirdly, the collected data can be used in 3D modeling software to create a 3D model of the power plant's surroundings. This includes: generating a terrain model based on topographic data; reconstructing the power plant building and other buildings based on architectural drawings; placing key equipment and pipelines according to equipment layout and pipeline route drawings, and adding roads, vegetation, and other supporting facilities. Texture mapping and material editing can be used to enhance the model's realism, bringing it closer to real-world visuals. Based on the energy flow conversion relationship between components, the port state variables under different operating conditions are calculated; and the 3D power plant system-level model, the 3D power plant environment model, and the port state variables under different operating conditions are integrated to obtain a 3D compressed air energy storage power plant model.

[0046] Furthermore, a real-time data acquisition system can be designed and implemented to automatically collect key performance indicators such as pressure, temperature, flow, and power, ensuring real-time data updates and accuracy. This system can utilize high-precision sensors and monitoring equipment, along with wireless or wired data transmission systems, to ensure stable and reliable data acquisition. Data processing algorithms, including real-time filtering, denoising, and normalization, are applied to the collected data to ensure accuracy and readability. Furthermore, the real-time data acquisition system includes data storage and backup capabilities to facilitate subsequent analysis and processing.

[0047] Based on physical models and mathematical algorithms, a power plant dynamic operation simulation module can be constructed. This module simulates the operating conditions of key components such as compressors, turbines, and gas storage, as well as the performance of the entire power plant system under different operating conditions. Based on detailed thermodynamic and kinetic models and using advanced simulation software, this module predicts power plant performance under different operating conditions, such as output power, efficiency, and operational stability. Furthermore, the module provides visualization tools such as 3D animations and performance curves to help operators intuitively understand the power plant's operating status.

[0048] Figure 2 The schematic diagram of the structure of the three-dimensional visualization model of compressed air energy storage provided by the embodiment of the present invention is shown. Figure 2 As shown, a 3D visualization model 201 of compressed air energy storage is integrated based on a 3D compressed air energy storage power station model 202 and a motion and flow simulation model 203. The 3D compressed air energy storage power station model 202 includes a 3D power station component model 2021, a 3D connection system model 2022, a 3D auxiliary equipment model 2023, and a 3D power station environment model 2024. The motion and flow simulation model 203 includes a multi-stage compressor and motor simulation system 2031, a multi-stage turbine and motor simulation system 2032, a temperature field finite element simulation system 2033, and a flow field finite element simulation system 2034.

[0049] In this way, by separately constructing three-dimensional models of components such as compressors, turbines, and gas storage tanks, their geometric structures and material properties can be accurately characterized, which can reduce the error between simulation results and actual component performance. At the same time, the feasibility of component assembly can be verified in a virtual environment, and spatial interference or pipe interface mismatch problems between the compressor and heat exchanger can be discovered in advance, avoiding design rework in physical prototype manufacturing, which can shorten the R&D cycle. Moreover, by incorporating environmental parameters to construct a three-dimensional power station environmental model, the system performance under different climatic conditions can be simulated. In addition, by calculating the port state variables based on the energy flow conversion relationship, the energy transfer process under different working conditions can be dynamically displayed, helping engineers understand the system's energy conversion efficiency in scenarios such as peak regulation and frequency regulation.

[0050] In some optional embodiments, constructing a three-dimensional motion simulation model based on design parameters includes: constructing a first shaft system three-dimensional model based on the design parameters; constructing a rotary motion shaft system model based on the first-stage components and the second-stage components, wherein the first-stage components include a multi-stage compressor and an electric motor, and the second-stage components include a multi-stage turbine and a generator; based on multi-body dynamics software, coupling the first shaft system three-dimensional model and the rotary motion shaft system model to obtain a three-dimensional motion simulation model.

[0051] In this embodiment, a three-dimensional model of the first axis system can be constructed using computer-aided design (CAD) software based on real design data. This model includes a rotating shaft and a rotating body, enabling simulation of rotational motion. During the construction process, the diameter, length, and material properties of the rotating shaft, as well as the shape, size, and weight of the rotating body, must be considered. These parameters directly impact the stability and vibration characteristics of the rotational motion.

[0052] Then, based on the first-level components and the second-level components, a rotating motion shaft system model is constructed. The rotating motion shaft system model can solve state information such as real-time speed and rotational oscillation, and reflect the real-time speed and vibration simulation of the rotating components based on the compressed air energy storage three-dimensional power station model.

[0053] Finally, using multi-body dynamics (MBD) software, the 3D model of the primary shaft system is coupled with the rotating shaft system model to simulate realistic rotational dynamic behavior. During the construction process, detailed consideration must be given to the connection between the compressor and motor, the turbine and generator, the shaft system layout, and the inertia characteristics of the rotating components. These factors will affect the dynamic response and stability of the shaft system.

[0054] In this way, by constructing the three-dimensional model of the first axis system and the rotational motion axis system model, the geometric parameters and material properties of the axis system can be accurately characterized, avoiding the distortion of dynamic characteristics caused by traditional simplified models.

[0055] In some optional embodiments, based on the finite element method, constructing a temperature field and flow field simulation model of a compressed air energy storage system includes: based on the finite element method, constructing a plurality of fluid microelement models, wherein the plurality of fluid microelement models include an air microelement model and a thermal oil microelement model; obtaining the temperature field and flow field change distribution of the flow process of a plurality of fluids, and obtaining a temperature field and flow field simulation model of the compressed air energy storage system based on the plurality of fluid microelement models and the temperature field and flow field change distribution.

[0056] In this embodiment, a microelement model is constructed based on finite element analysis methods that comprehensively considers multiple fluids within the pipeline, such as air and thermal oil. Multi-physics simulation software, such as ANSYS Fluent, can be used to simulate the temperature field and flow field changes during the fluid flow process. These multiple fluid microelement models can calculate and display the temperature and flow velocity distribution of the fluid within the pipeline, as well as the heat exchange between the fluid and the solid wall. During the construction process, detailed consideration must be given to the fluid's physical properties, flow state, heat exchange mechanism, and the geometry and dimensions of the pipeline. These factors will affect the fluid's flow characteristics, temperature distribution, and heat exchange effect.

[0057] The compressed air energy storage system temperature and flow field simulation models can be bound to the corresponding components of the compressed air energy storage 3D power plant model. By mapping the simulation data to the compressed air energy storage 3D power plant model, the results can be visualized. Engineers and technicians can use the interactive 3D model to intuitively observe and analyze the real-time speed, vibration, and temperature and flow field changes of rotating components. During the visualization process, graphical interfaces, animations, and charts can be used to clearly present simulation results to users. Furthermore, interactive functions are provided, allowing users to adjust parameters, rotate the model, and slice it, for a deeper analysis and understanding of the simulation results.

[0058] In this way, by constructing air microelement models and thermal oil microelement models, the full process energy transfer of "air compression heat generation-thermal oil heat storage-expansion energy release" in the compressed air energy storage system can be accurately simulated; at the same time, the finite element method discretizes the fluid microelement into a grid, which can capture microscopic phenomena such as turbulent heat transfer and boundary layer thermal resistance at the interface between air and thermal oil, and integrate the system-level energy conservation equation to achieve multi-scale simulation from molecular thermal motion to macroscopic flow field.

[0059] In some optional embodiments, based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model, constructing a compressed air energy storage three-dimensional visualization model includes: based on the data interface and software integration, connecting the output data of the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model with the compressed air energy storage three-dimensional power station model to obtain a connection result; and constructing the compressed air energy storage three-dimensional visualization model based on the connection result.

[0060] In this embodiment, data interfaces and software integration techniques are used to connect the output data from the 3D motion simulation model and the compressed air energy storage system temperature and flow field simulation models to the 3D compressed air energy storage power plant model. This ensures that the 3D compressed air energy storage power plant model can receive and display state variables such as real-time rotational speed, vibration, temperature field, and flow field calculated by the 3D motion simulation model and the compressed air energy storage system temperature and flow field simulation model. During the integration process, the model's geometry, size, and position must be considered to ensure data consistency and accuracy.

[0061] Based on the connection results, a 3D visualization model of compressed air energy storage was constructed. This 3D visualization model features real-time display of state variables and animation, intuitively illustrating the shaft rotation and the flow of fluid within the equipment and pipelines. Using holographic technology, the 3D model and simulation results were projected onto a holographic display device, allowing users to observe and analyze the system's operating status in a holographic format. The holographic visualization system provides interactive functions, allowing users to adjust the viewing angle, rotate the model, and slice the model, enabling deeper analysis and understanding of the simulation results.

[0062] To provide more comprehensive observation and analysis capabilities, dynamic visualizations of temperature and flow fields can be constructed. Dynamic charts, color mapping, and streamlines are used to display temporal and spatial variations in these fields. This visualization allows users to understand the system's temperature distribution, flow velocity distribution, and changing trends in thermal fluid performance in real time. Furthermore, an early warning function is provided. When key system parameters such as temperature and pressure exceed preset thresholds, the system automatically issues an alert, prompting the user to make appropriate adjustments and take appropriate actions.

[0063] In this way, through data interface and software integration technology, the geometric information of the compressed air energy storage three-dimensional power station model, the dynamic parameters of the motion simulation, and the physical cloud map of the temperature field / flow field are coupled in real time to form a "geometry-motion-physical field" three-in-one visualization model, which can reduce data synchronization delays and ensure the authenticity of the dynamic process.

[0064] In some optional embodiments, the aforementioned compressed air energy storage visualization dynamic simulation method further includes: projecting a three-dimensional visualization model of the compressed air energy storage onto a holographic display device; and presenting the operation results to the user in response to the user's operation on the holographic display device.

[0065] In this implementation, various types of sensors can be installed at the power plant site to form a sensor cluster for real-time monitoring of the system's operating status. Edge computing technology can be used to preprocess the collected data, including data cleaning and format conversion. A distributed computing architecture is employed to build a multi-agent cluster, intelligently synchronizing and integrating the preprocessed, multi-dimensional, heterogeneous data to ensure data consistency and accuracy. This integrated data is transmitted to a central server via a secure communication protocol for real-time display and analysis in the compressed air energy storage 3D visualization model and holographic visualization system.

[0066] Based on a 3D visualization model of compressed air energy storage, combined with real-time data collection, data visualization technology is used to display the system's operating status in a 3D holographic visualization system. The user-friendly interactive interface allows operators to view and analyze the 3D visualization model from different angles by clicking and dragging, improving monitoring and management efficiency.

[0067] Leveraging AR and VR technologies, a remote operation platform can be built to provide an immersive operating experience. Technologies like gesture recognition and voice control allow operators to monitor and control the power plant from a remote location. Designing intuitive and convenient operating interfaces for remote operators, including dashboards and control panels, ensures accurate and efficient operations.

[0068] A stable communication mechanism, such as a dedicated network or satellite communication, can also be established to ensure real-time transmission of remote operation commands. Remote actuators, such as PLCs and remote I / O, can be deployed in the power plant to control the plant based on remote operation commands. Multiple security measures, including identity authentication, data encryption, and operation logging, can be implemented to ensure the security and reliability of remote control.

[0069] In this way, the three-dimensional model on the two-dimensional screen is converted into a stereoscopic image in the holographic space. The user can observe the internal structure of the compressed air energy storage system in 360°, which can improve the user's spatial perception accuracy. At the same time, it supports gesture control, voice commands or somatosensory device operation, and triggers the model's sectioning, parameter adjustment or working condition switching in real time, which can realize real-time feedback of multi-modal interaction.

[0070] In some optional embodiments, the aforementioned method for visualizing dynamic simulation of compressed air energy storage further includes: constructing a closed-loop control data cluster of the compressed air energy storage system; constructing a three-dimensional visualization model of compressed air energy storage based on the three-dimensional power station model of the compressed air energy storage, the three-dimensional motion simulation model, the temperature field and flow field simulation model of the compressed air energy storage system, and the closed-loop control data cluster of the compressed air energy storage system.

[0071] In this implementation, multiple closed-loop control strategies, such as a proportional-integral-differential controller (PID) or a linear quadratic regulator (LQR), can be embedded based on the compressed air energy storage system's multidimensional measurement points and multi-controller database. Simultaneously, a control framework based on model predictive control (MPC) is constructed at the multi-controller coordination level. This allows for interchangeability of specific closed-loop control strategies within the overall framework, building a closed-loop control system based on the open-loop simulation system.

[0072] Specifically, the construction of a multi-dimensional measurement point and multi-controller database includes: based on the physical characteristics of the compressed air energy storage system, deploying a high-precision sensor network in core links such as gas tanks, compressors, expanders and grid interaction nodes to achieve full-dimensional real-time monitoring of pressure, temperature, flow and power signals. Through heterogeneous data fusion technology, dynamic operating parameters, equipment status and environmental variables are integrated into a unified spatiotemporal database, and a modular controller library is established to categorize and store basic control, collaborative control and emergency control strategies. The controller library has a built-in working condition identification and strategy matching mechanism, which automatically calls the adaptation algorithm according to the real-time operating status, and supports metadata annotation of the control strategy and parameter self-tuning rule configuration to ensure accurate response to control needs in different scenarios.

[0073] The design of the multi-level closed-loop control strategy and MPC collaborative framework includes: in the device-level control layer, the adaptive PID algorithm and LQR algorithm are used to realize the dynamic adjustment of key parameters such as compressor speed and gas tank pressure, and the multi-variable coupling interference is eliminated through decoupling control. In response to the needs of system-level collaborative optimization, a multi-time scale framework based on model predictive control (MPC) is constructed, and three-level prediction models are designed at the device layer, subsystem layer and system layer to respectively realize the collaborative decision-making of short-term dynamic response, medium-term thermal-electric coupling optimization and long-term grid scheduling. The mixed integer programming solver is integrated through the rolling optimization engine, and the model parameters are corrected online in combination with historical data to ensure the global optimal energy consumption and balanced equipment life of the charging and discharging process.

[0074] The dynamic reconstruction and verification methods for closed-loop control systems include: using virtualized container technology to encapsulate control algorithms as independent functional units, enabling plug-and-play and dynamic replacement of strategies through standardized interface protocols, and supporting seamless switching between old and new control modules. In conjunction with the digital twin verification platform, multi-dimensional simulation tests are conducted on the control strategy, and actual operating noise is injected into the simulation model through the hardware-in-the-loop interface to evaluate the robustness of the algorithm. When the system detects changes in equipment parameters or operating condition migration, the parameter self-migration algorithm is triggered, and the initial control parameter set is automatically generated based on open-loop feature extraction. At the same time, a control performance degradation warning mechanism is established to ensure the reliability and flexibility of the closed-loop system throughout its life cycle.

[0075] In this way, on the basis of the open-loop system constructed by the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model, and the compressed air energy storage system temperature field and flow field simulation model, the compressed air energy storage system closed-loop control data cluster is combined to form a closed-loop system, which is then visualized; the open-loop model provides basic physical logic, and the closed-loop introduces actual control data clusters, allowing the model to be upgraded from "theoretical simulation" to a dynamic system that "fits the real control logic", making up for the deviation between pure open-loop simulation and actual operation, and improving the model's reproducibility of real scenarios; at the same time, it can facilitate the construction and modification of closed-loop systems.

[0076] In some optional embodiments, the aforementioned method for visualizing dynamic simulation of compressed air energy storage further includes: constructing a real operating environment simulation system for a multi-scenario power system of source, grid and load based on the long-term operation data of the power system and the grid access standards and specifications, and its interface with the compressed air energy storage power station, to realize the real-time operation display function of the dynamic characteristics of the multi-scenario grid interaction of the power station.

[0077] In this embodiment, in order to realize the real-time simulation and interactive display of a compressed air energy storage power station in a multi-scenario power system of source, grid and load, an integrated platform covering grid environment modeling, communication interface and visualization display can be constructed.

[0078] First, based on multi-level grid topology modeling technology, an electromagnetic-electromechanical transient hybrid simulation architecture is adopted. Through the frequency-dependent network equivalent (FDNE) broadband equivalent technology, multi-time scale dynamic coupling between the main grid at the millisecond (ms) level and the power electronic equipment at the microsecond (μs) level is achieved. The synchronized phasor data of the synchronous vector measurement unit (PMU) is integrated to construct a transmission power distribution factor matrix. The dynamic characteristics of the power grid under a high proportion of renewable energy penetration are simulated, and a cascading fault simulation engine is developed to support N-1 / N-2 fault injection and evolution deduction.

[0079] Secondly, a standardized two-way communication interface system will be established to realize the real-time transmission of telemetry, telesignaling and remote control signals. Dual independent optical cable channels and standard safety protection equipment will be configured. Through the virtual control container, algorithm modules such as PID frequency modulation and LQR pressure balance will be encapsulated to realize command interaction and protection signal analysis with the distributed control system (DCS).

[0080] At the same time, based on the three-dimensional visualization model of compressed air energy storage, parameters such as the gas tank pressure gradient and the grid frequency response are dynamically mapped, and an evaluation matrix is ​​constructed that includes technical indicators (including frequency response time, voltage simulation error, etc.), economic indicators (peak-to-valley difference reduction rate, etc.) and safety indicators (black start success rate), generating a dynamic radar chart and a multi-window performance analysis interface.

[0081] In addition, the model accuracy is verified by connecting to the actual DCS system through the Hardware-in-the-Loop (HIL) interface, and a parameter self-migration algorithm is designed to automatically update the control set after equipment modification. Ultimately, a holographic simulation platform that supports peak-shaving optimization, fault ride-through, and multi-energy complementary scenario simulation is formed, providing decision support for dynamic scheduling of power systems.

[0082] In this way, the external simulation environment that adapts to the different needs of the power grid can simulate the functions under different power grid environments.

[0083] In this embodiment, a device for visual dynamic simulation of compressed air energy storage is also provided. The device is used to implement the above-mentioned embodiments and preferred embodiments, and the details that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0084] This embodiment provides a device for visual dynamic simulation of compressed air energy storage. Figure 3 FIG. 1 shows a schematic structural diagram of a device for visual dynamic simulation of compressed air energy storage according to an embodiment of the present invention. Figure 3 As shown, including:

[0085] The first construction module 301 is used to construct a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station.

[0086] The second construction module 302 is used to construct a three-dimensional motion simulation model based on the design parameters.

[0087] The third construction module 303 is used to construct a temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method.

[0088] The simulation module 304 is used to construct a three-dimensional visualization model of compressed air energy storage based on the three-dimensional power station model of compressed air energy storage, the three-dimensional motion simulation model, and the temperature field and flow field simulation model of the compressed air energy storage system.

[0089] In some optional embodiments, the aforementioned apparatus for visual dynamic simulation of compressed air energy storage further includes:

[0090] The data acquisition module is used to acquire multi-dimensional heterogeneous data from the compressed air energy storage power station; transmit the multi-dimensional heterogeneous data to the compressed air energy storage three-dimensional visualization model, and present the operating status of the compressed air energy storage power station based on the compressed air energy storage three-dimensional visualization model.

[0091] In some optional implementations, the first building block 301 includes:

[0092] The first unit of the first construction module is used to construct a three-dimensional model of the power plant component level based on the design drawings and design parameters, wherein the three-dimensional model of the power plant component level includes a compressor model, a turbine model and a gas storage reservoir model; based on the layout of the compressed air energy storage power station, the relative position relationship and assembly relationship between the components, the three-dimensional models of the power plant component level are combined to obtain a three-dimensional model of the power plant system level; based on the environmental parameter information of the compressed air energy storage power station, a three-dimensional power plant environmental model is constructed; based on the energy flow conversion relationship between the components, the port state variables under different working conditions are calculated; and the three-dimensional model of the power plant system level, the three-dimensional power plant environmental model and the port state variables under different working conditions are integrated to obtain a three-dimensional compressed air energy storage power plant model.

[0093] In some optional implementations, the second building block 302 includes:

[0094] The first unit of the second construction module is used to construct a three-dimensional model of the first shaft system based on the design parameters; construct a rotating motion shaft system model based on the first-level components and the second-level components, wherein the first-level components include a multi-stage compressor and an electric motor, and the second-level components include a multi-stage turbine and a generator; based on multi-body dynamics software, the three-dimensional model of the first shaft system and the rotating motion shaft system model are coupled to obtain a three-dimensional motion simulation model.

[0095] In some optional implementations, the third building block 303 includes:

[0096] The first unit of the third construction module is used to construct a variety of fluid micro-element models based on the finite element method, wherein the various fluid micro-element models include an air micro-element model and a thermal oil micro-element model; obtain the temperature field and flow field change distribution of the flow process of various fluids, and obtain the temperature field and flow field simulation model of the compressed air energy storage system based on the various fluid micro-element models and the temperature field and flow field change distribution.

[0097] In some optional implementations, the simulation module 304 includes:

[0098] The first unit of the simulation module is used to connect the output data of the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model with the compressed air energy storage three-dimensional power station model based on the data interface and software integration to obtain the connection results; based on the connection results, a three-dimensional visualization model of compressed air energy storage is constructed.

[0099] In some optional embodiments, the aforementioned apparatus for visual dynamic simulation of compressed air energy storage further includes:

[0100] The display module is used to project the compressed air energy storage three-dimensional visualization model onto the holographic display device; in response to the user's operation on the holographic display device, the operation result is presented to the user.

[0101] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0102] The present application provides a method, device, equipment and medium for visual dynamic simulation of compressed air energy storage, which constructs three-dimensional models of power plant components and systems based on real design parameters, and a three-dimensional power plant environment model based on the surrounding environment. Through simulation, the port temperature, pressure and other data of each component are calculated. Furthermore, a shaft rotation motion simulation system is constructed, including a coupled shaft system model of a multi-stage compressor-motor and a turbine-generator, as well as a temperature field and flow field simulation system. The finite element method is used to simulate the microelement model of various fluids in the pipeline, and the distribution of the temperature field and flow field is displayed in the 3D model. Finally, the above models and simulation systems are integrated to form a three-dimensional visualization model of compressed air energy storage, and the real-time state simulation and display of the system are achieved through holographic technology.

[0103] In this embodiment, a device for visual dynamic simulation of compressed air energy storage is presented in the form of a functional unit, where the unit refers to an application-specific integrated circuit (ASIC) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0104] The embodiment of the present invention also provides a computer device having the above Figure 3 A device for visual dynamic simulation of compressed air energy storage is shown.

[0105] See also Figure 4 , Figure 4 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 4As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of a graphical user interface on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 4 A processor 10 is taken as an example.

[0106] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0107] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 can execute the method shown in the above embodiment.

[0108] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0109] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0110] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 4 The bus connection is taken as an example.

[0111] The input device 30 can receive input digital or character information and generate key signal input related to user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (such as a light emitting diode) and a tactile feedback device (such as a vibration motor). The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0112] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0113] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0114] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A visual dynamic simulation method for compressed air energy storage, characterized in that: The method comprises: Based on the design drawings and design parameters of the compressed air energy storage power station, a three-dimensional compressed air energy storage power station model is constructed; Based on the design parameters, construct a three-dimensional motion simulation model; Based on the finite element method, a simulation model of the temperature field and flow field of the compressed air energy storage system is constructed; A three-dimensional visualization model of compressed air energy storage is constructed based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model, and the compressed air energy storage system temperature field and flow field simulation model.

2. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1, characterized in that: The method further comprises: Acquiring multi-dimensional heterogeneous data from the compressed air energy storage power station; The multi-dimensional heterogeneous data is transmitted to the compressed air energy storage three-dimensional visualization model, and the operating status of the compressed air energy storage power station is presented based on the compressed air energy storage three-dimensional visualization model.

3. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1 or 2, characterized in that: The method of constructing a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station includes: Based on the design drawings and the design parameters, constructing a three-dimensional model of a power plant component level, wherein the three-dimensional model of the power plant component level includes a compressor model, a turbine model, and a gas storage reservoir model; Based on the layout of the compressed air energy storage power station, the relative position relationship between the components and the assembly relationship, the component-level three-dimensional models of each power station are combined to obtain a power station system-level three-dimensional model; Constructing a three-dimensional power station environment model based on the environmental parameter information of the compressed air energy storage power station; Based on the energy flow conversion relationship between components, calculate the port state variables under different working conditions; The three-dimensional power station model of the compressed air energy storage system is obtained by integrating the three-dimensional power station system-level model, the three-dimensional power station environment model and the port state variables under the different working conditions.

4. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1, characterized in that: The constructing of the three-dimensional motion simulation model based on the design parameters includes: Based on the design parameters, construct a three-dimensional model of the first shaft system; Constructing a rotating motion shaft system model based on first-stage components and second-stage components, wherein the first-stage components include a multi-stage compressor and an electric motor, and the second-stage components include a multi-stage turbine and a generator; Based on multi-body dynamics software, the first axis system three-dimensional model and the rotational motion axis system model are coupled to obtain the three-dimensional motion simulation model.

5. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1, characterized in that: The construction of the temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method includes: Based on the finite element method, constructing multiple fluid micro-element models, wherein the multiple fluid micro-element models include an air micro-element model and a thermal oil micro-element model; The temperature field and flow field change distribution of multiple fluid flow processes are obtained, and based on the multiple fluid microelement models and the temperature field and flow field change distribution, the temperature field and flow field simulation model of the compressed air energy storage system is obtained.

6. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1, characterized in that: The constructing of a compressed air energy storage three-dimensional visualization model based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model, and the compressed air energy storage system temperature field and flow field simulation model includes: Based on the data interface and software integration, the output data of the three-dimensional motion simulation model and the compressed air energy storage system temperature field and flow field simulation model are connected with the compressed air energy storage three-dimensional power station model to obtain a connection result; Based on the connection results, a three-dimensional visualization model of the compressed air energy storage is constructed.

7. The method for visualizing dynamic simulation of compressed air energy storage according to claim 1, characterized in that: The method further comprises: Build a closed-loop control data cluster for compressed air energy storage systems; A compressed air energy storage three-dimensional visualization model is constructed based on the compressed air energy storage three-dimensional power station model, the three-dimensional motion simulation model, the compressed air energy storage system temperature field and flow field simulation model and the compressed air energy storage system closed-loop control data cluster.

8. A visual dynamic simulation device for compressed air energy storage, characterized in that: The device comprises: The first construction module is used to construct a compressed air energy storage three-dimensional power station model based on the design drawings and design parameters of the compressed air energy storage power station; A second construction module is used to construct a three-dimensional motion simulation model based on the design parameters; The third building module is used to construct a temperature field and flow field simulation model of the compressed air energy storage system based on the finite element method; A simulation module is used to construct a three-dimensional visualization model of compressed air energy storage based on the three-dimensional compressed air energy storage power station model, the three-dimensional motion simulation model, and the temperature field and flow field simulation model of the compressed air energy storage system.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for visual dynamic simulation of compressed air energy storage according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute a compressed air energy storage visualization dynamic simulation method according to any one of claims 1 to 7.

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