Pumped storage unit shafting operation state monitoring method and system based on digital twinning

Abstract

The invention belongs to the field of hydraulic machinery state monitoring, and particularly discloses a digital twinning-based pumped storage unit shafting operation state monitoring method and system, and the method comprises the steps: building a multi-physics field coupling finite element full-order model of a pumped storage unit shafting, carrying out the model reduction of the finite element full-order model, and obtaining a digital twinning model; utilizing a multi-physics field coupling reduced-order model to construct a digital twinborn body of the pumping and storage unit shafting for real-time simulation; acquiring operation state data corresponding to the monitoring signal, and establishing an operation state knowledge base of the pumped storage unit; and according to the established virtual-real interaction subsystem, the three-dimensional visualization subsystem and the operation state knowledge base, constructing an operation state monitoring system of the pumping and storage unit shaft system, and performing real-time data transmission of the operation state monitoring system by using a sensor so as to evaluate the operation state of the pumping and storage unit in real time and realize operation state early warning of the pumping and storage unit. According to the invention, the real-time performance of monitoring the operation state of the shaft system of the pumping and storage unit can be improved, and the monitoring efficiency is further improved.

Description

Technical Field

[0001] The present application belongs to the field of equipment detection, and more specifically, to a method and system for monitoring the operating status of the shaft system of a pumped-storage unit based on digital twins. Background Art

[0002] With the large-scale development and utilization of new energy in my country, the construction of pumped storage power stations needs to be accelerated. Pumped storage power station units can pump water to store electricity when the grid load is large, and generate electricity for turbine conditions when electricity conversion is required. When the pumped storage unit is in a complex transition condition, it is affected by multi-physical field factors such as flow field, structural field, and electromagnetic field. The operating parameters of the unit change dramatically, which can easily cause rapid transient changes in the internal flow field of the pump turbine, affecting the stable operation of the shaft system of the pumped storage unit. In severe cases, it will cause damage to the shaft system structure of the unit. Therefore, it is necessary to monitor the operating status of the pumped storage unit in real time and evaluate its operating status characteristics.

[0003] Currently, the commonly used monitoring method is usually to use physical sensors for data collection and data analysis. However, due to the complexity of the pumped-storage power station operation system and the delay in sensor data acquisition, it is difficult to extract status data, making it difficult to ensure the real-time monitoring of the system, which in turn leads to poor efficiency of system monitoring. Summary of the invention

[0004] In view of the defects of the prior art, the purpose of this application is to provide a method for monitoring the shaft system operation status of a pumped-storage unit based on digital twins, aiming to solve the problem that it is difficult to ensure the real-time performance of system monitoring, which leads to poor efficiency of system monitoring.

[0005] In a first aspect, the present application provides a method for monitoring the operating status of a shaft system of a pumped storage unit based on digital twins, comprising:

[0006] Establish a multi-physics field coupling finite element full-order model of the shaft system of the pumped storage unit, and use the finite element full-order model to perform multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions according to fluid-solid coupling and electromechanical coupling to obtain simulation analysis results;

[0007] Based on the simulation analysis results, the finite element full-order model is reduced in order to establish a multi-physics field coupling reduced-order model, and the multi-physics field coupling reduced-order model is used to construct a digital twin of the shaft system of the pumped storage unit for real-time simulation;

[0008] Selecting a monitoring signal of a target type according to the data type during the actual operation of the pumped storage unit, obtaining the operating status data corresponding to the monitoring signal, performing feature extraction and preprocessing on the operating status data, and establishing an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit;

[0009] According to the established virtual-reality interaction subsystem, three-dimensional visualization subsystem and operation status knowledge base, an operation status monitoring system of the shaft system of the pumped storage unit is constructed, and sensors are used to transmit real-time data of the operation status monitoring system to evaluate the operation status of the pumped storage unit in real time and realize the operation status early warning of the pumped storage unit;

[0010] Among them, the virtual-reality interaction subsystem is established using the digital twin and the pumped storage unit equipment, and is used to realize data interaction between the digital twin and the pumped storage unit equipment based on the data interface; the three-dimensional visualization subsystem is used to perform three-dimensional display of various typical working conditions of the pumped storage unit shaft system.

[0011] Optionally, the multi-physics field coupling finite element full-order model of the shaft system of the pumped storage unit is established, and the multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed on the finite element full-order model according to fluid-solid coupling and electromechanical coupling to obtain simulation analysis results, including:

[0012] Obtaining the design dimensions and design parameters of the shaft system of the pumped storage unit, as well as the operating parameters under various typical operating conditions;

[0013] Based on the design dimensions, design parameters and operating parameters, a three-dimensional model of the shaft system of the pumped storage unit is established;

[0014] Establishing finite element full-order models of different physical fields based on the three-dimensional model;

[0015] The finite element full-order model of the different physical fields is used to establish a multi-physical field coupling finite element full-order model based on the fluid-solid coupling simulation and the electromechanical coupling simulation;

[0016] Based on the multi-physics field coupled finite element full-order model, multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed to obtain simulation analysis results.

[0017] Optionally, the step of reducing the finite element full-order model based on the simulation analysis result to establish a multi-physics field coupled reduced-order model includes:

[0018] Based on the simulation analysis results, the multi-physics field coupling finite element full-order model is reduced in order, and the multi-physics field coupling finite element full-order model includes a flow field full-order model, an electromagnetic field full-order model and a shaft system full-order model;

[0019] The full-order model of the flow field is reduced in order by using an intrinsic orthogonal analysis method, the full-order model of the electromagnetic field is reduced in order by using an equivalent circuit model extraction method, and the full-order model of the shaft system is reduced in order by using singular value decomposition;

[0020] Based on the reduced-order flow field full-order model, electromagnetic field full-order model and shaft system full-order model, the multi-physics field coupling reduced-order model is constructed.

[0021] Optionally, the step of selecting a monitoring signal of a target type according to a data type during the actual operation of the pumped storage unit and obtaining operating status data corresponding to the monitoring signal includes:

[0022] Determine the data type generated during the actual operation of the pumped storage unit, select the target type according to the demand, and obtain the monitoring signal of the target type; the monitoring signal of the target type includes: vibration signal, temperature signal, speed signal and radial runout signal;

[0023] The operating status data corresponding to the monitoring signal is obtained according to the sensor corresponding to each target type.

[0024] Optionally, the feature extraction and preprocessing of the operating status data to establish an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit includes:

[0025] The operation status data is stored in MySQL, a data table is established according to the target type corresponding to the operation status data, and feature extraction and preprocessing are performed on the operation status data to obtain feature data;

[0026] The characteristic data is clustered according to working conditions to obtain clustering results, and the operating status knowledge base is established based on the clustering results. The operating status knowledge base is used to compare with real-time operating data to determine the real-time operating status of the pumped storage unit.

[0027] Optionally, the virtual-reality interaction subsystem provides a data interface for users through a browser, and implements data interaction between the digital twin and the pumped storage unit equipment through Web Serve.

[0028] Optionally, the three-dimensional visualization subsystem is built based on a visualization platform, and is used to display the operating status of the digital twin of the pumped storage unit shaft system under various typical working conditions in real time through the virtual-reality interaction subsystem and sensor equipment.

[0029] In a second aspect, the present application provides a pumped storage unit shaft system operation status monitoring system based on digital twin, including a virtual-reality interaction subsystem, a three-dimensional visualization subsystem, and an operation status knowledge base;

[0030] Using sensors to transmit real-time data of the operation status monitoring system, so as to evaluate the operation status of the pumped storage unit in real time and realize early warning of the operation status of the pumped storage unit;

[0031] Among them, the virtual-reality interaction subsystem is established using the digital twin and pumped storage unit equipment, and is used to realize data interaction of the virtual-reality interaction subsystem based on the data interface; the three-dimensional visualization subsystem is used to perform three-dimensional display of various typical working conditions of the pumped storage unit shaft system.

[0032] In the third aspect, the present application also provides a multi-sensor system, comprising multiple sensors for collecting monitoring signals, the sensors being used to respectively extract the shaft system power generation signal of the pumped storage unit, the turbine speed signal, the inlet flow signal, the shaft system vibration signal and the radial runout signal; the sensors are also used to execute the steps of obtaining operating status data as described in any of the above items.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the method described in the first aspect or any possible implementation of the first aspect.

[0034] In a fifth aspect, the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the method described in the first aspect or any possible implementation of the first aspect.

[0035] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0036] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the prior art:

[0037] (1) This application establishes an operating status knowledge base to help store and analyze historical data, determine the real-time operating status of the unit, establish a virtual-reality interaction subsystem to achieve data interaction between the digital twin and the actual unit through a data interface, enhance the real-time and accuracy of monitoring and control, and establish a three-dimensional visualization subsystem to provide an intuitive and real-time display method to help users better monitor the real-time operating status and various typical working conditions of the shaft system of the pumped storage unit. This application processes the operating status data of the pumped storage unit in multiple dimensions through the operating status knowledge base, the virtual-reality interaction subsystem, and the three-dimensional visualization subsystem, thereby improving the real-time monitoring of the operating data of the pumped storage unit.

[0038] (2) This application establishes a finite element full-order model and a reduced-order model for multi-physical field coupling, which can more accurately simulate the complex operating state of the shaft system of the pumped storage unit. Through simulation analysis, potential faults and weaknesses can be identified, thereby improving the operating reliability and safety of the equipment.

[0039] (3) The virtual-reality interaction subsystem in this application can effectively interact the digital twin with the data of the actual equipment in real time, ensuring that the virtual model is always synchronized with the actual operation, thereby improving the real-time nature of the monitoring data. The three-dimensional visualization subsystem in this application provides an intuitive working condition display, allowing the operator to more clearly understand the status and potential problems of the equipment, thereby improving the overall monitoring efficiency of the system.

[0040] (4) This application establishes a finite element full-order model of the multi-physical field coupling of the shaft system of the pumped-storage unit, reduces the order of the full-order model, establishes a fast numerical calculation model of the shaft system of the pumped-storage unit, and establishes a digital twin model of the shaft system of the pumped-storage unit based on the fast numerical calculation model of the shaft system of the pumped-storage unit to achieve real-time simulation of the shaft system of the pumped-storage unit. Based on the digital twin model, combined with the database and three-dimensional visualization system, a shaft system status monitoring system for the pumped-storage unit is established, which can analyze the shaft system operation status and response analysis in real time. The shaft system operation posture is intuitively and efficiently displayed to the operating personnel through legends, reports, cloud maps and statistical analysis, and the shaft system simulation results are displayed in real time. This application meets the real-time simulation requirements, reduces the working time cost, and can be actually applied to the operation status monitoring of pumped-storage power stations, reduce unit failures, and improve operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of a method for monitoring the shaft system operation status of a pumped storage unit based on digital twins provided in an embodiment of the present application;

[0042] Figure 2 It is a structural schematic diagram of the pumped-storage unit shaft system operation status monitoring system based on digital twin provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] The term "and / or" in this article is a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The symbol " / " in this article indicates that the associated objects are in an or relationship, for example, A / B means A or B.

[0045] The terms "first" and "second" in the specification and claims herein are used to distinguish different objects rather than to describe a specific order of the objects. For example, a first response message and a second response message are used to distinguish different response messages rather than to describe a specific order of the response messages.

[0046] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0047] In the description of the embodiments of the present application, unless otherwise specified, "multiple" means two or more than two. For example, multiple processing units refer to two or more processing units, etc.; multiple elements refer to two or more elements, etc.

[0048] Next, the technical solutions provided in the embodiments of the present application are introduced.

[0049] Reference Figure 1 The present application provides a method for monitoring the shaft system operation status of a pumped storage unit based on digital twin, comprising:

[0050] S101. Establish a multi-physics field coupled finite element full-order model of the shaft system of the pumped storage unit, and perform multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions according to fluid-solid coupling and electromechanical coupling on the finite element full-order model to obtain simulation analysis results;

[0051] S102. Based on the simulation analysis results, the finite element full-order model is reduced in order to establish a multi-physics field coupling reduced-order model, and the multi-physics field coupling reduced-order model is used to construct a digital twin of the shaft system of the pumped storage unit for real-time simulation;

[0052] S103. Select a monitoring signal of a target type according to the data type during the actual operation of the pumped storage unit, obtain the operating status data corresponding to the monitoring signal, perform feature extraction and preprocessing on the operating status data, and establish an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit;

[0053] S104. Construct an operation status monitoring system for the shaft system of the pumped storage unit according to the established virtual-reality interaction subsystem, three-dimensional visualization subsystem and operation status knowledge base, and use sensors to transmit real-time data of the operation status monitoring system to evaluate the operation status of the pumped storage unit in real time and realize the operation status warning of the pumped storage unit;

[0054] Among them, the virtual-reality interaction subsystem is established using the digital twin and the pumped storage unit equipment, and is used to realize data interaction between the digital twin and the pumped storage unit equipment based on the data interface; the three-dimensional visualization subsystem is used to perform three-dimensional display of various typical working conditions of the pumped storage unit shaft system.

[0055] First, by establishing a finite element full-order model including multi-physics field coupling, dynamic simulation of fluid-solid coupling and electromechanical coupling is carried out to capture the complex behavior of the unit under different working conditions and provide basic data for further analysis. The purpose of this step is to create a mathematical model to simulate the behavior of the shaft system of the pumped storage unit under the action of multiple physical fields (such as fluid, structure, electromagnetic, etc.).

[0056] Based on the simulation results, the full-order model is reduced to simplify the calculation process. The reduced-order model is used to build a digital twin of the shaft system of the pumped storage unit to achieve real-time simulation and monitoring.

[0057] Furthermore, appropriate monitoring signals are selected, such as vibration signals, temperature signals, speed signals, and radial runout signals. Data are acquired from the actual operation process through corresponding sensors, and feature extraction and preprocessing of these data are performed. An operation status knowledge base is established for real-time evaluation and analysis of the unit's operation status.

[0058] Finally, the monitoring system is built. By combining the virtual-reality interaction subsystem, the 3D visualization subsystem, and the operation status knowledge base, a comprehensive operation status monitoring system is established. Sensors are used for real-time data transmission, and the system evaluates the unit status and issues early warnings. Among them, the virtual-reality interaction subsystem is responsible for realizing data exchange between the digital twin and the actual equipment. The 3D visualization subsystem provides a 3D display of the working conditions, helping operators to more intuitively understand the equipment status and potential problems.

[0059] This application establishes a finite element full-order model of multi-physical field coupling of the shaft system of a pumped-storage unit, performs model reduction processing on the full-order model, establishes a fast numerical calculation model of the shaft system of a pumped-storage unit, and establishes a digital twin model of the shaft system of a pumped-storage unit based on the fast numerical calculation model of the shaft system of the pumped-storage unit, so as to realize real-time simulation of the shaft system of the pumped-storage unit. Based on the digital twin model, combined with the database and the three-dimensional visualization system, a shaft system status monitoring system for the pumped-storage unit is established, which can analyze the shaft system operation status and response analysis in real time. The shaft system operation posture is intuitively and efficiently displayed to the operating personnel through legends, reports, cloud maps and statistical analysis, and the shaft system simulation results are displayed in real time. This application meets the requirements of real-time simulation, reduces the cost of working time, and can be actually applied to the operation status monitoring of pumped-storage power stations, reduce unit failures, and improve operation efficiency.

[0060] Furthermore, the multi-physics field coupling finite element full-order model of the shaft system of the pumped storage unit is established, and the multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed on the finite element full-order model according to fluid-solid coupling and electromechanical coupling to obtain simulation analysis results, including:

[0061] Obtaining the design dimensions and design parameters of the shaft system of the pumped storage unit, as well as the operating parameters under various typical operating conditions;

[0062] Based on the design dimensions, design parameters and operating parameters, a three-dimensional model of the shaft system of the pumped storage unit is established;

[0063] Establishing finite element full-order models of different physical fields based on the three-dimensional model;

[0064] The finite element full-order model of the different physical fields is used to establish a multi-physical field coupling finite element full-order model based on the fluid-solid coupling simulation and the electromechanical coupling simulation;

[0065] Based on the multi-physics field coupled finite element full-order model, multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed to obtain simulation analysis results.

[0066] The specific process is as follows:

[0067] Step S201. Collect the design drawings of the pumped storage unit, perform 3D structural modeling of the entire flow path of the pump turbine through the 3D modeling software UG, build a fluid calculation domain model, including the pressure pipe, volute, seat ring, water guide mechanism, impeller, tailwater pipe, etc., refine the key flow components and extract the water body model.

[0068] Step S202. According to the design drawings of the pumped storage unit, the three-dimensional model of the shaft system of the pumped storage unit is constructed in combination with the three-dimensional design software UG, which mainly includes the upper end shaft of the unit shaft system, the rotor of the generator motor, the rotor bracket, the water bearing on the turbine shaft, the upper guide bearing on the motor shaft, the lower guide bearing on the motor shaft, the thrust bearing, the pump turbine runner, etc.

[0069] Step S203. Considering that the main concern in engineering practice is the radial vibration of the stator, this application adopts a two-dimensional finite element motor model and builds a two-dimensional plane model of the hydro-generator through Maxwell's Rmxprt component. The model is based on two basic assumptions as follows: (1) the axial lengths of the stator and rotor are equal; (2) the magnetic field in each cross section of the motor is a two-dimensional parallel plane field.

[0070] Step S204. ICEM is used to perform structured meshing for the three-dimensional fluid domain model of the shaft system of the pumped storage unit, and the mesh is locally encrypted. The meshing tool provided by Ansys is used to perform meshing for the three-dimensional structural model of the shaft system of the pumped storage unit. An adaptive meshing method is used for the two-dimensional motor model, and local mesh encryption is performed in the magnetic material area that has a greater impact on the calculation results. On the basis of the grid model of the shaft system of the pumped storage unit, boundary conditions and external loads are applied to construct a finite element full-order model. Based on the fluid-solid coupling calculation method, fluid mechanics calculations are performed at multiple typical operating points to analyze the flow field distribution in the pump turbine under different flow rates and flow velocities. The acquired flow field information is transferred to the solid calculation domain for solution, and the dynamic response of the runner under the action of fluid-solid coupling is obtained. Electromagnetic field calculations are performed in MAXWELL, the electromagnetic force obtained by the simulation calculation that varies with time is input into the three-dimensional structural field as an excitation, and transient dynamics analysis is performed in ANSYSworkbench to obtain the vibration characteristics of the shaft system under electromagnetic action. A multi-physics field coupling model of the shaft system of the pumped storage unit is established by combining the hydraulic characteristics, electromagnetic characteristics and shaft self-vibration characteristics.

[0071] Optionally, the step of reducing the finite element full-order model based on the simulation analysis result to establish a multi-physics field coupled reduced-order model includes:

[0072] Based on the simulation analysis results, the multi-physics field coupling finite element full-order model is reduced in order, and the multi-physics field coupling finite element full-order model includes a flow field full-order model, an electromagnetic field full-order model and a shaft system full-order model;

[0073] The full-order model of the flow field is reduced in order by using an intrinsic orthogonal analysis method, the full-order model of the electromagnetic field is reduced in order by using an equivalent circuit model extraction method, and the full-order model of the shaft system is reduced in order by using singular value decomposition;

[0074] Based on the reduced-order flow field full-order model, electromagnetic field full-order model and shaft system full-order model, the multi-physics field coupling reduced-order model is constructed.

[0075] Specifically, the order reduction process in this embodiment is as follows:

[0076] Step S301. Reduce the model order of the full-order finite element model of the pump-turbine fluid domain. Based on the dynamic reduced-order model (ROM) method of the proper orthogonal method (POD), the spatial parameters of the pump-turbine flow field are extracted through CFD transient calculation and the snapshot matrix is ​​extracted, and then the POD modal decomposition is completed, the fluid domain reduced-order model is completed, and a rapid calculation model of the pump-turbine fluid domain of the pumped storage unit is constructed.

[0077] Step S302: Reduce the order of the electromagnetic field model of the pumped storage unit. A reduced order model method based on equivalent circuit extraction (ECE).

[0078] The motor operating parameter information is extracted. The operating parameters come from the finite element calculation results. The electromagnetic field operation data is trained, and ECE extraction is performed on the training data. The ECE ROM model is established to achieve model reduction of the electromagnetic field of the pumped storage unit.

[0079] Step S303. Based on the finite element model of the shaft system of the pumped storage unit, the shaft system model is reduced in order based on singular value decomposition (SVD). Based on the finite element calculation results of the shaft system, multiple groups of data are extracted as training data to construct a snapshot matrix; the snapshot matrix is ​​decomposed by SVD to establish a vector basis for the field solution of any input parameter in the design space; the proxy model is used to predict the corresponding coefficients of each reduced-order basis in the ROM to complete the reduction of the shaft system model of the pumped storage unit.

[0080] Step S304. Combine the reduced-order model of multi-physics fields, construct a multi-physics field coupling reduced-order model of the shaft system of the pumped-storage unit, establish a fast numerical calculation model of multi-physics fields of the shaft system of the pumped-storage unit, and realize the establishment of a digital twin.

[0081] Optionally, the step of selecting a monitoring signal of a target type according to a data type during the actual operation of the pumped storage unit and obtaining operating status data corresponding to the monitoring signal includes:

[0082] Determine the data type generated during the actual operation of the pumped storage unit, select the target type according to the demand, and obtain the monitoring signal of the target type; the monitoring signal of the target type includes: vibration signal, temperature signal, speed signal and radial runout signal;

[0083] The operating status data corresponding to the monitoring signal is obtained according to the sensor corresponding to each target type.

[0084] Specifically, the method for obtaining the running status data is as follows:

[0085] Step S401: Analyze the data types generated by the pumped storage unit during actual operation, and select corresponding monitoring data as input parameters according to the monitoring requirements of the unit. The monitoring data includes unit inlet flow monitoring, shaft vibration monitoring, electromagnetic voltage monitoring, temperature monitoring, turbine speed monitoring, etc.

[0086] Step S402: Build a multi-sensor system based on the data to be monitored, select appropriate sensor models, accuracy and sensitivity, and collect corresponding signals accurately and efficiently.

[0087] Optionally, the feature extraction and preprocessing of the operating status data to establish an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit includes:

[0088] The operation status data is stored in MySQL, a data table is established according to the target type corresponding to the operation status data, and feature extraction and preprocessing are performed on the operation status data to obtain feature data;

[0089] The characteristic data is clustered according to working conditions to obtain clustering results, and the operating status knowledge base is established based on the clustering results. The operating status knowledge base is used to compare with real-time operating data to determine the real-time operating status of the pumped storage unit.

[0090] Specifically, the method for establishing the running status knowledge base in this embodiment includes:

[0091] Step S501. Record the shaft system operation status data of the pumped storage unit through a multi-sensor system, establish a data transmission system, and transmit the monitoring data collected by the sensor to the database for storage through optical fiber switches and network cables.

[0092] Step S502: Receive data transmitted by the data sensor, record the characteristic signal data of the time period, and use the multi-source heterogeneous database system MySQL to store, process and extract the signal data to establish the shaft system operation status database of the pumped storage unit.

[0093] Step S503: Use the database synchronization mechanism to transmit data from the database to the virtual-real interaction system of the pumped storage unit shaft system through the data switch. When the unit starts running, the database can be accessed in real time to view the main shaft operation status data, and used for real-time driving of the digital twin model.

[0094] Optionally, the virtual-reality interaction subsystem provides a data interface for users through a browser, and implements data interaction between the digital twin and the pumped storage unit equipment through Web Serve.

[0095] Specifically, the virtual-reality interaction subsystem in this embodiment adopts a B / S architecture, which establishes a system platform model based on a Web browser and uses a Web browser to centralize the core parts of the system function implementation on the server.

[0096] It should be further explained that the virtual-reality interaction subsystem development tool in this embodiment uses OpenGL, selects Windows system as the development platform, selects Python as the programming language, and selects PyCharm as the integrated development environment to realize the virtual-reality interaction system of the pumped storage unit axis system.

[0097] Optionally, the three-dimensional visualization subsystem is built based on a visualization platform, and is used to display the operating status of the digital twin of the pumped storage unit shaft system under various typical working conditions in real time through the virtual-reality interaction subsystem and sensor equipment.

[0098] Specifically, the establishment process of the 3D visualization subsystem in this embodiment is as follows:

[0099] The 3D model of the shaft system of the pumped storage unit constructed based on the 3D modeling software UG is imported into the 3ds Max software, and the corresponding materials and textures are given to it. The model in 3ds Max is exported as an fbx format file, and the fbx format file is imported into Unity3D to render the main shaft and complete the virtual model of the main shaft. Based on the dynamic behavior characteristics analysis of the real unit shaft system, the virtual model and the physical model are synchronized in real time, so that users can accurately and clearly understand the operating status of the main shaft.

[0100] Reference Figure 2 , the present application provides a pumped storage unit shaft system operation status monitoring system based on digital twin, including a virtual-reality interaction subsystem 210, a three-dimensional visualization subsystem 220, and an operation status knowledge base 230;

[0101] Using sensors to transmit real-time data of the operation status monitoring system, so as to evaluate the operation status of the pumped storage unit in real time and realize early warning of the operation status of the pumped storage unit;

[0102] Among them, the virtual-reality interaction subsystem is established using the digital twin and pumped storage unit equipment, and is used to realize data interaction of the virtual-reality interaction subsystem based on the data interface; the three-dimensional visualization subsystem is used to perform three-dimensional display of various typical working conditions of the pumped storage unit shaft system.

[0103] Specifically, the process of implementing monitoring by the operating status monitoring system in the embodiment of the present application is as follows:

[0104] Step S601. Combine the operation status database, digital twin virtual-reality interaction system and three-dimensional visualization model, and build a digital twin-based pumped storage unit shaft system operation status monitoring system based on Unity3D. Write a control script to complete the development and design of the required functions, which includes four functional modules: status data acquisition and drive module, virtual-reality interaction and data transmission module, status monitoring module, and three-dimensional visualization function module.

[0105] Step S602. Collect real-time operation data through a multi-sensor system and build an operation status database. Develop a data acquisition system to connect the operation status database with the virtual-reality interaction system and the three-dimensional visualization function system. Based on the real-time monitoring data of the shaft system of the pumped storage unit in actual operation, the shaft system virtual system is driven in real time through the data-driven function in the digital twin system.

[0106] Step S603. Using the real-time data monitored by the multi-sensor system as input parameters, combined with the multi-physics field coupling reduced-order model of the pumped storage unit shaft system, a rapid numerical calculation is performed on the real-time working condition. Using the data driver, the rapid numerical calculation results are displayed in real time in the three-dimensional visualization function module through the virtual-real interaction system.

[0107] Step S604. Develop a status monitoring page, in which the real-time operating status of the shaft system of the pumped storage unit can be viewed. Realize three-dimensional real-time visualization based on data collected by multiple sensors, including real-time display of curve trends of important parameters such as the shaft system inlet flow, inlet pressure, outlet flow, outlet pressure, and runner speed. Preprocess the fast numerical calculation results in the virtual-real interactive system, and display the real-time operating status of the shaft system of the unit in the form of legends, reports, tables, etc. according to user needs, including information such as tailwater pipe pressure pulsation, turbine blade pressure, and axis motion trajectory. Display the shaft system stress distribution cloud map, deformation distribution cloud map, vibration distribution cloud map, etc. in real time, and compare them with normal conditions.

[0108] Step S605. The three-dimensional visualization function module page includes a panoramic three-dimensional display of the virtual model of the shaft system of the pumped storage unit, a user interaction window, and a status monitoring window. The panoramic three-dimensional display of the virtual model can display the three-dimensional model of the shaft system of the pumped storage unit in an all-round manner by sliding the mouse 360°. It also includes transparency, explosion display and highlight display functions. The transparency function can change the model transparency according to the degree of transparency selected by the user, helping the user to fully observe the internal situation of the shaft system structure of the unit; the explosion diagram function can facilitate users to understand the internal structure of the shaft system of the unit in an all-round, multi-level and multi-architecture manner, as well as the assembly sequence and assembly path; the highlight display function can highlight the model components according to the user's requirements for obtaining component information, without affecting other rendering results, so that users can clearly and intuitively grasp the relevant information of the selected components. The user interaction system allows users to select the operating status parameters they want to monitor and display them in real time in the status monitoring window. The status monitoring window can monitor the operating status monitoring system of the shaft system of the unit in real time and provide users with viewing. When the unit starts running, the digital twin model obtains real-time data as input parameters based on the multi-sensor system, connects with the three-dimensional visualization function through the virtual-reality interaction system, and displays the status information of the main shaft in real time on the window in the form of tables, legends, reports and cloud maps.

[0109] The present application also provides a multi-sensor system, comprising a plurality of sensors for collecting monitoring signals, wherein the sensors are used to respectively extract the shaft system power generation signal of the pumped storage unit, the turbine speed signal, the inlet flow signal, the shaft system vibration signal and the radial runout signal; the sensors are also used to execute the steps of obtaining operating status data as described in any of the above items.

[0110] Based on the method in the above embodiment, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the method in the above embodiment.

[0111] Based on the method in the above embodiment, an embodiment of the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the method in the above embodiment.

[0112] It is understandable that the processor in the embodiment of the present application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0113] The method steps in the embodiments of the present application can be implemented by hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC.

[0114] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions may be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0115] It should be understood that the various numerical numbers involved in the embodiments of the present application are only used for the convenience of description and are not used to limit the scope of the embodiments of the present application.

[0116] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for monitoring the shaft system operation status of a pumped storage unit based on digital twin, characterized in that: include: Establish a multi-physics field coupling finite element full-order model of the shaft system of the pumped storage unit, and use the finite element full-order model to perform multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions according to fluid-solid coupling and electromechanical coupling to obtain simulation analysis results; Based on the simulation analysis results, the finite element full-order model is reduced in order to establish a multi-physics field coupling reduced-order model, and the multi-physics field coupling reduced-order model is used to construct a digital twin of the shaft system of the pumped storage unit for real-time simulation; Selecting a monitoring signal of a target type according to the data type during the actual operation of the pumped storage unit, obtaining the operating status data corresponding to the monitoring signal, performing feature extraction and preprocessing on the operating status data, and establishing an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit; According to the established virtual-reality interaction subsystem, three-dimensional visualization subsystem and operation status knowledge base, an operation status monitoring system of the shaft system of the pumped storage unit is constructed, and sensors are used to transmit real-time data of the operation status monitoring system to evaluate the operation status of the pumped storage unit in real time and realize the operation status early warning of the pumped storage unit; Wherein, the virtual-reality interaction subsystem is established by using the digital twin and the pumped storage unit equipment, and is used to realize data interaction between the digital twin and the pumped storage unit equipment based on the data interface; The three-dimensional visualization subsystem is used to display various typical working conditions of the shaft system of the pumped storage unit in three dimensions.

2. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1 is characterized in that: The multi-physics field coupling finite element full-order model of the shaft system of the pumped storage unit is established, and the multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed on the finite element full-order model according to fluid-solid coupling and electromechanical coupling to obtain simulation analysis results, including: Obtaining the design dimensions and design parameters of the shaft system of the pumped storage unit, as well as the operating parameters under various typical operating conditions; Based on the design dimensions, design parameters and operating parameters, a three-dimensional model of the shaft system of the pumped storage unit is established; Establishing finite element full-order models of different physical fields based on the three-dimensional model; The finite element full-order model of the different physical fields is used to establish a multi-physical field coupling finite element full-order model based on the fluid-solid coupling simulation and the electromechanical coupling simulation; Based on the multi-physics field coupled finite element full-order model, multi-physics field dynamic simulation analysis of the pumped storage unit under multiple working conditions is performed to obtain simulation analysis results.

3. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1 is characterized in that: The step of reducing the order of the finite element full-order model based on the simulation analysis result to establish a multi-physics field coupling reduced-order model includes: Based on the simulation analysis results, the multi-physics field coupling finite element full-order model is reduced in order, and the multi-physics field coupling finite element full-order model includes a flow field full-order model, an electromagnetic field full-order model and a shaft system full-order model; The full-order model of the flow field is reduced in order by using an intrinsic orthogonal analysis method, the full-order model of the electromagnetic field is reduced in order by using an equivalent circuit model extraction method, and the full-order model of the shaft system is reduced in order by using singular value decomposition; Based on the reduced-order flow field full-order model, electromagnetic field full-order model and shaft system full-order model, the multi-physics field coupling reduced-order model is constructed.

4. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1 is characterized in that: The step of selecting a monitoring signal of a target type according to a data type during the actual operation of the pumped storage unit and obtaining operating status data corresponding to the monitoring signal includes: Determine the data type generated during the actual operation of the pumped storage unit, select the target type according to the demand, and obtain the monitoring signal of the target type; the monitoring signal of the target type includes: vibration signal, temperature signal, speed signal and radial runout signal; The operating status data corresponding to the monitoring signal is obtained according to the sensor corresponding to each target type.

5. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1 is characterized in that: The feature extraction and preprocessing of the operating status data to establish an operating status knowledge base of the pumped storage unit to determine the real-time operating status of the pumped storage unit includes: The operation status data is stored in MySQL, a data table is established according to the target type corresponding to the operation status data, and feature extraction and preprocessing are performed on the operation status data to obtain feature data; The characteristic data is clustered according to working conditions to obtain clustering results, and the operating status knowledge base is established based on the clustering results. The operating status knowledge base is used to compare with real-time operating data to determine the real-time operating status of the pumped storage unit.

6. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1, characterized in that: The virtual-reality interaction subsystem provides a data interface for users through a browser, and realizes data interaction between the digital twin and the pumped storage unit equipment through Web Serve.

7. The method for monitoring the shaft system operation status of a pumped storage unit based on digital twin according to claim 1 is characterized in that: The three-dimensional visualization subsystem is built based on the visualization platform. The three-dimensional visualization subsystem is used to display the operating status of the digital twin of the pumped storage unit shaft system under various typical working conditions in real time through the virtual-reality interaction subsystem and sensor equipment.

8. A pumped storage unit shaft system operation status monitoring system based on digital twin, characterized in that: It includes virtual-reality interaction subsystem, 3D visualization subsystem and operation status knowledge base; Using sensors to transmit real-time data of the operation status monitoring system, so as to evaluate the operation status of the pumped storage unit in real time and realize early warning of the operation status of the pumped storage unit; Among them, the virtual-reality interaction subsystem is established using the digital twin and pumped storage unit equipment, and is used to realize data interaction of the virtual-reality interaction subsystem based on the data interface; the three-dimensional visualization subsystem is used to perform three-dimensional display of various typical working conditions of the pumped storage unit shaft system.

9. A multi-sensor system, characterized in that: It includes multiple sensors for collecting monitoring signals, and the sensors are used to respectively extract the shaft system power generation signal, turbine speed signal, inlet flow signal, shaft system vibration signal and radial runout signal of the pumped storage unit; the sensors are also used to execute the steps of obtaining operating status data as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program runs on a processor, the processor is caused to execute the method according to any one of claims 1 to 7.

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