Pumped storage power station management system and method based on digital twinning, computer equipment and readable storage medium

Abstract

The invention relates to a pumped storage power station management system and method based on digital twinning, computer equipment and a readable storage medium, the system comprises a sensing layer, a data center layer and a presentation layer, the sensing layer is used for obtaining monitoring data of each monitoring object in a pumped storage power station through multiple monitoring devices, and the data center layer is used for displaying the monitoring data of each monitoring object in the pumped storage power station. Sending the monitoring data to the data center layer; the data center layer is used for performing statistical analysis on the monitoring data sent by the sensing layer in real time through a streaming data center technology to obtain a statistical result of each monitoring object, obtaining prediction data of each monitoring object through a data mining and prediction model, and sending the statistical result and the prediction data to the presentation layer; and the display layer is used for displaying the statistical result and the prediction data through a chart. By adopting the method, the utilization rate of pumped storage power station engineering data can be improved, and the lean management level of pumped storage power station construction is improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a pumped-storage power station management system, method, computer equipment, computer-readable storage medium and computer program product based on digital twin. Background Art

[0002] The existing construction process management of pumped storage power stations uses various sensing devices to collect relevant data, then models and displays the construction site. At the same time, finite element models are used for simulation analysis to provide early warnings for the safe construction conditions at the construction site. However, this method has limitations in data collection and insufficient breadth of data analysis, and cannot accurately reflect the dynamic process of construction. Summary of the invention

[0003] Based on this, it is necessary to provide a pumped-storage power station management system, method, computer equipment, computer-readable storage medium and computer program product based on digital twin to address the above technical problems.

[0004] In the first aspect, the present application also provides a pumped storage power station management system based on digital twins. The system includes: a perception layer, a data center layer and a presentation layer, wherein:

[0005] The perception layer is used to obtain monitoring data of each monitoring object in the pumped storage power station through a variety of monitoring devices, and send the monitoring data to the data center layer;

[0006] The data center layer is used to perform statistical analysis on the monitoring data sent by the perception layer in real time through the streaming data center technology, obtain statistical results of each monitored object, obtain predicted data of each monitored object through data mining and prediction models, and send the statistical results and the predicted data to the presentation layer;

[0007] The presentation layer is used to present the statistical results and the predicted data through charts.

[0008] In one of the embodiments, the system further comprises a model creation layer for creating a three-dimensional model of the pumped storage power station;

[0009] The monitoring data collected by the perception layer is associated with the three-dimensional model, and the monitoring data is dynamically presented in the three-dimensional model through a visualization tool.

[0010] In one of the embodiments, the model creation layer is further used to superimpose time series data of each monitoring object on the three-dimensional model to form a four-dimensional pumped storage power station model;

[0011] The operation of the physical pumped-storage power station in the virtual construction is simulated by the four-dimensional pumped-storage power station model to obtain a simulation feedback result;

[0012] Based on the simulation feedback results, the operation of the physical pumped-storage power station is optimized.

[0013] In one of the embodiments, the data center layer is further used to determine the safety status of each monitored object based on the monitoring data of each monitored object;

[0014] The presentation layer is also used to display the safety status of each monitored object in the section area corresponding to each monitored object.

[0015] In one of the embodiments, the monitoring data includes structured data and unstructured data;

[0016] The data center layer is further used to store the structured data through a relational database and to store the unstructured data through a non-relational database.

[0017] In one of the embodiments, the data center layer is also used to generate adjustment instructions according to the monitoring data of each monitored object in accordance with a preset control strategy; and send the adjustment instructions to each monitored object to dynamically adjust the control parameters of each monitored object.

[0018] In a second aspect, the present application provides a pumped storage power station management method based on digital twins. The method comprises:

[0019] Acquire monitoring data of each monitoring object in the pumped storage power station through various monitoring devices;

[0020] The monitoring data is statistically analyzed in real time through the streaming data center technology to obtain the statistical results of each monitoring object, and the prediction data of each monitoring object is obtained through data mining and prediction models;

[0021] The statistical results and the predicted data are presented in charts.

[0022] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0023] Acquire monitoring data of each monitoring object in the pumped storage power station through various monitoring devices;

[0024] The monitoring data is statistically analyzed in real time through the streaming data center technology to obtain the statistical results of each monitoring object, and the prediction data of each monitoring object is obtained through data mining and prediction models;

[0025] The statistical results and the predicted data are presented in charts.

[0026] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0027] Acquire monitoring data of each monitoring object in the pumped storage power station through various monitoring devices;

[0028] The monitoring data is statistically analyzed in real time through the streaming data center technology to obtain the statistical results of each monitoring object, and the prediction data of each monitoring object is obtained through data mining and prediction models;

[0029] The statistical results and the predicted data are presented in charts.

[0030] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0031] Acquire monitoring data of each monitoring object in the pumped storage power station through various monitoring devices;

[0032] The monitoring data is statistically analyzed in real time through the streaming data center technology to obtain the statistical results of each monitoring object, and the prediction data of each monitoring object is obtained through data mining and prediction models;

[0033] The statistical results and the predicted data are presented in charts.

[0034] The above-mentioned pumped storage power station management system, method, computer equipment, storage medium and computer program product based on digital twin obtains the monitoring data of each monitoring object in the pumped storage power station through a variety of monitoring equipment through the perception layer, and sends the monitoring data to the data center layer; the data center layer is used to perform statistical analysis on the monitoring data sent by the perception layer in real time through the streaming data center technology, obtain the statistical results of each monitoring object, obtain the predicted data of each monitoring object through data mining and prediction models, and send the statistical results and predicted data to the presentation layer; the presentation layer is used to display the statistical results and predicted data through charts. The method can see the video surveillance of the corresponding area and the panoramic images of key parts through the integrated management and control platform established by the digital twin, providing managers with a visual and real-time on-site construction environment, realizing all-round monitoring and dynamic management during the construction and operation of the power station, improving the utilization rate of the power station engineering data, and improving the lean management level of the power station construction. And on the basis of integrated management and control, it can eliminate information islands, realize the sharing of business data and information penetration, realize the intelligent linkage of related businesses, and build intelligent business application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] FIG1 is a structural block diagram of a pumped storage power station management system based on digital twins in one embodiment;

[0036] FIG2 is a schematic diagram of the overall architecture of a pumped-storage power station based on digital twins in one embodiment;

[0037] FIG3 is a schematic diagram of a process of a pumped storage power station management method based on digital twins in one embodiment;

[0038] FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0039] 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.

[0040] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0041] In one embodiment, as shown in FIG1 , a structural block diagram of a pumped storage power station management system based on digital twin is provided, the system comprising: a perception layer 110, a data center layer 120 and a presentation layer 130, wherein:

[0042] The perception layer 110 is used to obtain monitoring data of each monitoring object in the pumped storage power station through various monitoring devices and send the monitoring data to the data center layer 120;

[0043] The data center layer 120 is used to perform statistical analysis on the monitoring data sent by the perception layer in real time through the streaming data center technology, obtain the statistical results of each monitoring object, obtain the predicted data of each monitoring object through data mining and prediction models, and send the statistical results and predicted data to the presentation layer 130;

[0044] The presentation layer 130 is used to present statistical results and forecast data through charts.

[0045] Specifically, the system also includes a network layer and a three-dimensional digital platform layer. The network layer builds an efficient information transmission network to ensure the safe transmission and storage of data; the three-dimensional digital platform layer is used to realize functions such as model management, data management, user management and authority management of the virtual power station.

[0046] The perception layer obtains various data of the pumped storage power station through video monitoring, positioning equipment, monitoring equipment, data entry equipment, and various sensors. Among them, video monitoring equipment can be deployed at various important locations in the power station to obtain real-time on-site images. Sensors (such as temperature sensors, pressure sensors, flow sensors, etc.) are used to monitor the equipment status and environmental parameters in the pumped storage power station in real time. Positioning equipment can be used to monitor the location of equipment and personnel to ensure safety management. Monitoring equipment, such as water level monitors, generator monitors, etc., are used to collect key operating data.

[0047] The monitoring data collected by the perception layer is transmitted to the data center layer through the network layer, and processed by the data center layer. The data center layer can first pre-process the monitoring data, including data cleaning, which is used to remove invalid data and outliers to ensure the accuracy of the data; and data integration, which is used to integrate data from different sources to form a unified data set. Using the streaming data center technology, the operating status of the power station can be calculated and displayed in real time, and the time series analysis method can be applied to analyze the trend of the operating data and realize data prediction.

[0048] The presentation layer receives data sent by the data center layer, and displays the on-site conditions of the pumped-storage power station in real time through monitoring large screens, PCs, APPs, etc. The data can be displayed intuitively through charts, dashboards, etc., to achieve communication between the digital twin power station and management personnel. The 3D model can also be used to display the overall structure of the power station and the status of each equipment, realizing the combination of virtual and real.

[0049] The platform can conduct comprehensive, complete and real-time perception of the "people, machines, objects, materials and environment" of pumped storage power stations, build holographic data of power station infrastructure and operation, and provide panoramic navigation and full online services. At the same time, it can collect and aggregate power station information in all directions to achieve panoramic monitoring of power station infrastructure and operation.

[0050] In the above-mentioned pumped-storage power station management system based on digital twin, the monitoring data of each monitoring object in the pumped-storage power station is obtained through the perception layer through various monitoring devices, and the monitoring data is sent to the data center layer; the data center layer is used to perform statistical analysis on the monitoring data sent by the perception layer in real time through the streaming data center technology, obtain the statistical results of each monitoring object, obtain the predicted data of each monitoring object through data mining and prediction models, and send the statistical results and predicted data to the presentation layer; the presentation layer is used to display the statistical results and predicted data through charts. This method can see the video surveillance of the corresponding area and the panoramic images of key parts through the integrated management and control platform established by the digital twin, providing managers with a visual and real-time on-site construction environment, realizing all-round monitoring and management during the construction and operation of the power station, improving the utilization rate of the power station project data, and improving the lean management level of the power station construction. And on the basis of integrated management and control, it can eliminate information islands, realize the sharing of business data and information penetration, realize the intelligent linkage of related businesses, and build intelligent business application scenarios.

[0051] In an exemplary embodiment, the system also includes a model creation layer for creating a three-dimensional model of a pumped-storage power station; associating the monitoring data collected through the perception layer with the three-dimensional model, and dynamically presenting the monitoring data in the three-dimensional model through a visualization tool.

[0052] Specifically, firstly, a detailed three-dimensional model is designed according to the physical structure and layout of the pumped-storage power station, and the three-dimensional model of the pumped-storage power station is constructed through the three-dimensional modeling tool. By building a data interface, the monitoring data collected by the perception layer is associated with the corresponding parts of the three-dimensional model, and further data mapping is performed to define the data mapping relationship for each key component in the three-dimensional model, so as to dynamically obtain and update the corresponding monitoring data. Finally, the collected monitoring data is received in real time through the display layer that supports three-dimensional visualization, and the real-time rendering of the data is realized. The monitoring data is visualized in the three-dimensional model, and different states are identified by using colors, shapes, icons, etc., thereby realizing dynamic data presentation.

[0053] The above steps of this embodiment can successfully establish a dynamic monitoring and visualization system that combines perception layer data with a three-dimensional model, thereby enhancing the real-time understanding and management of the operating status and performance of the pumped-storage power station and improving data utilization.

[0054] Furthermore, in an exemplary embodiment, the model creation layer is also used to superimpose the time series data of each monitored object on the three-dimensional model to form a four-dimensional pumped-storage power station model; the operation of the physical pumped-storage power station in the virtual construction is simulated by the four-dimensional pumped-storage power station model to obtain simulation feedback results; based on the simulation feedback results, the operation of the physical pumped-storage power station is optimized.

[0055] Specifically, the time dimension can be superimposed on the three-dimensional model of the pumped storage power station to create a 4D pumped storage power station. Specifically, the monitoring data collected by the perception layer can be formed into time series data according to the collection time, and the time series data can be associated with each component of the three-dimensional model, and then the time series data can be superimposed on the three-dimensional model to form a four-dimensional model. The time dimension is used to represent the changes in the monitoring data.

[0056] Furthermore, the simulation tool used for simulation can be determined, and the three-dimensional model can be integrated with the simulation tool to ensure dynamic simulation. Then, the simulation parameters are set according to the actual operating conditions, and the simulation model is run to simulate the operating status of the pumped storage power station under different conditions, and the simulation feedback results are generated. The changes in various indicators during the simulation process are recorded, and the simulation results are presented through visualization tools to help analyze the operating status and optimize the operating parameters of the physical pumped storage power station. The optimized operating effect is monitored in real time through the perception layer to ensure the effectiveness of the optimization plan.

[0057] In this embodiment, through three-dimensional digitization, virtual reality and other technologies, a 3D digital virtual power station is created for the pumped storage power station corresponding to the physical entity, and the complex and abstract process data of the power station is quantified to achieve refined management, and a 4D power station with superimposed time dimension is created to simulate the operation of the physical power station in the virtual space, and optimize the operation of the physical power station based on the simulation feedback results. This method can not only monitor the operating status of the power station in real time, but also optimize the operation of the power station through simulation analysis, and improve its operating efficiency and safety.

[0058] In an exemplary embodiment, the data center layer is also used to determine the safety status of each monitored object based on the monitoring data of each monitored object; the presentation layer is also used to display the safety status of each monitored object in the section area corresponding to each monitored object.

[0059] In the specific implementation, the collected data can be analyzed through data analysis tools, warning thresholds can be set, and it can be determined whether each monitored object is within a safe range. For example, the safe water level and temperature range can be determined based on historical data analysis. A safety assessment model is established to analyze the data of each monitored object in real time, and output the safety level (such as safe, warning, dangerous), and use machine learning algorithms (such as decision trees and random forests) to predict potential safety hazards; monitoring reports are generated regularly to record the safety status and trends of each monitored object, including charts, statistical data, etc. The real-time status, historical data and trends of each monitored object are displayed in the presentation layer, so that users can quickly understand the safety status of each monitored object. In addition, the presentation layer can also be interactive. When a user clicks on a monitored object, detailed monitoring data and historical trends can be viewed.

[0060] The method provided in this embodiment enables the pumped-storage power station to produce safely, including equipment safety, personnel safety, environmental safety and network information security. The equipment and system have accident risk prevention and system self-healing capabilities, and the power production is stable and reliable with good economic benefits.

[0061] In an exemplary embodiment, the monitoring data includes structured data and unstructured data; the data center layer is further used to store structured data through a relational database and to store unstructured data through a non-relational database.

[0062] Among them, structured data refers to data that can be stored in a predefined format (table, field, etc.). Unstructured data refers to data without a fixed format, such as log files, images, video surveillance, etc.

[0063] In the specific implementation, the appropriate storage method can be selected according to the data characteristics and analysis requirements. For example, a relational database can be used to store structured data. Specifically, a data table structure can be created, and the attributes, primary keys, indexes, etc. of each field can be defined. The collected structured data can be stored in the relational database through a data interface or batch insertion.

[0064] Use non-relational databases to store unstructured data. Specifically, you can use document storage or key-value storage and design a suitable storage structure based on the characteristics of the data. Store unstructured data directly in the database in its original format to maintain its flexibility and scalability.

[0065] In this embodiment, by combining structured data and unstructured data at the data center layer and storing them in relational and non-relational databases respectively, the system can effectively and flexibly manage and analyze large amounts of diverse data, which not only improves data quality and processing efficiency, but also enhances the decision support capabilities of the entire system.

[0066] In an exemplary embodiment, the data center layer is also used to generate adjustment instructions according to the monitoring data of each monitored object in accordance with a preset control strategy; and send the adjustment instructions to each monitored object to dynamically adjust the control parameters of each monitored object.

[0067] Specifically, a series of control strategies can be preset in advance according to system requirements and the characteristics of the monitored objects. The perception layer continuously collects real-time data of each monitored object and transmits it to the data center layer through the network layer. The data center layer analyzes the received monitoring data in real time, evaluates the current state of the monitored object, and identifies the deviation between the current state and the preset target state to determine whether adjustment is required. When it is determined that adjustment is required, a corresponding adjustment instruction is generated based on the monitored object that needs to be adjusted and the control strategy predetermined for the monitored object. The adjustment instruction may include the parameters that need to be adjusted and the target value that needs to be adjusted. The adjustment instruction is sent to each monitored object. After receiving the adjustment instruction, the monitored object adjusts its operating parameters according to the adjustment instruction.

[0068] In this embodiment, adjustment instructions are dynamically generated based on real-time monitoring data to effectively adjust the control parameters of the monitored object. The system can automatically adjust the control strategy and management method based on influencing factors such as the environment, boundaries, and equipment, and has intelligent control and optimized operation, intelligent management, and analytical decision-making functions, so that the power station has an adaptive and self-optimizing infrastructure and production management model.

[0069] Referring to Figure 2, a schematic diagram of the overall architecture of a pumped storage power station based on digital twins is shown, including: a perception layer, a presentation layer, a network layer, a three-dimensional digital platform layer, a model creation layer, a data center layer, and an intelligent application layer.

[0070] The perception layer obtains various data of the pumped-storage power station through video surveillance, positioning equipment, monitoring equipment, data entry equipment, and various high-precision sensors.

[0071] The presentation layer is used to realize the communication between the digital twin power station and people, and mainly includes the monitoring screen, PC, APP, etc.

[0072] The network layer is used to transmit large amounts of information data, and issues such as the network operating environment, database, storage, computing, network, and security need to be considered.

[0073] The three-dimensional digital platform layer is used to meet various needs of virtual power plants, such as model management, data management, user management, authority management, and functional module management.

[0074] The model creation layer, data center layer, and intelligent application layer are used to realize functions such as internal structuring, calculation, and decision support of data.

[0075] This method uses an integrated management and control platform established through digital twins to view video surveillance of the corresponding area and panoramic images of key areas, providing managers with a visual and real-time on-site construction environment. At the same time, the distribution of safety risks and safety violations are entered into the corresponding bidding area of ​​the digital power station, showing the safety status of the project construction at different stages and major problems and feedback on problem handling, realizing the functions of automated data collection, rapid information query, and data packaging and release of power station projects, improving the utilization rate of power station project data, and improving the lean management level of power station construction.

[0076] In one embodiment, as shown in FIG3 , a flow chart of a pumped storage power station management method based on digital twin is shown, comprising the following steps:

[0077] Step S310, obtaining monitoring data of each monitoring object in the pumped storage power station through a variety of monitoring equipment;

[0078] Step S320, statistically analyzing the monitoring data in real time through the flow data center technology to obtain statistical results of each monitoring object, and obtaining predicted data of each monitoring object through data mining and prediction models;

[0079] Step S330, displaying statistical results and forecast data through charts.

[0080] This method uses an integrated management and control platform established through digital twins to view video surveillance of the corresponding areas and panoramic images of key areas, providing managers with a visual and real-time on-site construction environment, realizing all-round monitoring and management during power plant infrastructure and operation, improving the utilization rate of power plant engineering data, and improving the lean management level of power plant construction.

[0081] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0082] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG4. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a pumped storage power station management method based on digital twins is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0083] Those skilled in the art will understand that the structure shown in FIG. 4 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0084] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0085] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0086] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0087] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0088] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0089] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0090] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A pumped storage power station management system based on digital twin, characterized in that: The system includes: a perception layer, a data center layer and a presentation layer, wherein: The perception layer is used to obtain monitoring data of each monitoring object in the pumped storage power station through a variety of monitoring devices, and send the monitoring data to the data center layer; The data center layer is used to perform statistical analysis on the monitoring data sent by the perception layer in real time through the streaming data center technology, obtain statistical results of each monitored object, obtain predicted data of each monitored object through data mining and prediction models, and send the statistical results and the predicted data to the presentation layer; The presentation layer is used to present the statistical results and the predicted data through charts.

2. The system according to claim 1, characterized in that The system also includes a model creation layer for creating a three-dimensional model of the pumped storage power station; The monitoring data collected by the perception layer is associated with the three-dimensional model, and the monitoring data is dynamically presented in the three-dimensional model through a visualization tool.

3. The system according to claim 2, characterized in that The model creation layer is also used to superimpose the time series data of each monitoring object on the three-dimensional model to form a four-dimensional pumped storage power station model; The operation of the physical pumped-storage power station in the virtual construction is simulated by the four-dimensional pumped-storage power station model to obtain a simulation feedback result; Based on the simulation feedback results, the operation of the pumped-storage power station is optimized.

4. The system according to claim 1, characterized in that The data center layer is also used to determine the safety status of each monitored object based on the monitoring data of each monitored object; The presentation layer is also used to display the safety status of each monitored object in the section area corresponding to each monitored object.

5. The system according to claim 1, characterized in that The monitoring data includes structured data and unstructured data; The data center layer is further used to store the structured data through a relational database and to store the unstructured data through a non-relational database.

6. The system according to claim 1, characterized in that The data center layer is also used to generate adjustment instructions according to the monitoring data of each monitored object in accordance with a preset control strategy; and send the adjustment instructions to each monitored object to dynamically adjust the control parameters of each monitored object.

7. A pumped storage power station management method based on digital twin, characterized in that: The method comprises: Acquire monitoring data of each monitoring object in the pumped storage power station through various monitoring devices; The monitoring data is statistically analyzed in real time through the streaming data center technology to obtain the statistical results of each monitoring object, and the prediction data of each monitoring object is obtained through data mining and prediction models; The statistical results and the predicted data are presented in charts.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the pumped-storage power station management method based on digital twin described in claim 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the pumped-storage power station management method based on digital twin described in claim 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the pumped-storage power station management method based on digital twin described in claim 7 are implemented.

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