Data detection method, device and equipment of energy storage power station and medium

Abstract

The invention provides a data detection method and device for an energy storage power station, equipment and a medium, and the method comprises the steps: carrying out the data sampling of the energy storage power station, obtaining a three-dimensional modeling rendering resource of the energy storage power station, carrying out the modeling according to the three-dimensional modeling rendering resource, and obtaining a candidate three-dimensional virtual model of the energy storage power station; acquiring component state data of each energy storage component in the energy storage power station to obtain a component state chart of each energy storage component; performing chart labeling on the candidate three-dimensional virtual model based on the component state chart to obtain a target three-dimensional virtual model of the energy storage power station; through the target three-dimensional virtual model, the energy storage power station is subjected to visual data detection, so that the data detection efficiency of the energy storage power station is improved, the data detection intuition of the energy storage power station is improved, the data detection precision of the energy storage power station is improved, and the data detection cost of the energy storage power station is reduced. And the timeliness of abnormal data detection of the energy storage power station is improved.

Description

Technical Field

[0001] This application relates to the technical field of energy storage power stations, and particularly relates to a data detection method, device, equipment, and medium for an energy storage power station. Background Art

[0002] With the development of technology, energy storage power stations play an increasingly important role in people's work and life. During the daily operation of an energy storage power station, the safety and stability of its operation are very important. In related technologies, the operation data of each energy storage device in the energy storage power station can be obtained, and the operation data can be displayed in a two-dimensional chart to detect the data of the energy storage power station, but the efficiency is poor.

[0003] Therefore, how to achieve efficient and accurate data detection of an energy storage power station is very important. Summary of the Invention

[0004] The purpose of this application is to solve at least one of the technical problems in the above technologies to some extent.

[0005] The first aspect of this application provides a data detection method for an energy storage power station, including: performing data sampling on the energy storage power station to obtain three-dimensional modeling rendering resources of the energy storage power station, and performing modeling based on the three-dimensional modeling rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station; obtaining component status data of each energy storage component in the energy storage power station to obtain a component status chart for each energy storage component; performing chart annotation on the candidate three-dimensional virtual model based on the component status chart to obtain a target three-dimensional virtual model of the energy storage power station; and performing visual data detection on the energy storage power station through the target three-dimensional virtual model.

[0006] The second aspect of this application provides a data detection device for an energy storage power station, including: a modeling module, configured to perform data sampling on the energy storage power station to obtain three-dimensional modeling rendering resources of the energy storage power station, and perform modeling based on the three-dimensional modeling rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station; an obtaining module, configured to obtain component status data of each energy storage component in the energy storage power station to obtain a component status chart for each energy storage component; a marking module, configured to perform chart annotation on the candidate three-dimensional virtual model based on the component status chart to obtain a target three-dimensional virtual model of the energy storage power station; and a detection module, configured to perform visual data detection on the energy storage power station through the target three-dimensional virtual model.

[0007] The third aspect of this application proposes an electronic device, including: a processor; a memory for storing executable instructions of the processor; wherein, the processor is configured to execute the instructions to implement the data detection method for an energy storage power station as proposed in the first aspect above.

[0008] A fourth aspect of the present application provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute the data detection method for an energy storage power station proposed in the first aspect above.

[0009] The data detection method and device for an energy storage power station provided in the present application obtain three-dimensional modeling rendering resources of the energy storage power station to obtain a candidate three-dimensional virtual model of the energy storage power station, and perform chart annotation on the candidate three-dimensional virtual model through the component status charts of each energy storage component in the energy storage power station to obtain a target three-dimensional virtual model of the energy storage power station, and then perform visual data detection on the energy storage power station through the target three-dimensional virtual model. In the present application, the candidate three-dimensional virtual model is subjected to chart annotation through the component status charts of each energy storage component to obtain the target three-dimensional virtual model, and then visual data detection is performed on the energy storage power station through the target three-dimensional virtual model. Compared with the data detection performed through two-dimensional charts in the related art, the data detection efficiency of the energy storage power station is improved. The visual data detection of the energy storage power station is realized through the display area provided by the target three-dimensional virtual model, which improves the intuitiveness of the data detection of the energy storage power station, improves the data detection accuracy of the energy storage power station, reduces the data detection cost of the energy storage power station, improves the timeliness of abnormal data detection of the energy storage power station, and further improves the timeliness and accuracy of abnormal troubleshooting of the energy storage power station, and optimizes the stability and safety of the operation of the energy storage power station.

[0010] Some of the additional aspects and advantages of the present application will be given in the following description, some will become obvious from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0012] Figure 1 is a schematic flowchart of the data detection method for an energy storage power station according to an embodiment of the present application;

[0013] Figure 2 is a schematic flowchart of the data detection method for an energy storage power station according to another embodiment of the present application;

[0014] Figure 3 is a schematic diagram of a component model according to an embodiment of the present application;

[0015] Figure 4 is a schematic diagram of a component model according to another embodiment of the present application;

[0016] Figure 5 is a schematic structural diagram of the data detection device for an energy storage power station according to an embodiment of the present application;

[0017] Figure 6 Block diagram of an electronic device according to an embodiment of the present application. Detailed implementation manners

[0018] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as limiting the present application.

[0019] A data detection method, apparatus, device, and medium for an energy storage power station according to an embodiment of the present application will be described below with reference to the accompanying drawings.

[0020] Figure 1 Schematic flowchart of a data detection method for an energy storage power station according to an embodiment of the present application, as Figure 1 shown, the method includes:

[0021] S101, perform data sampling on the energy storage power station to obtain three-dimensional modeling rendering resources of the energy storage power station, and perform modeling based on the three-dimensional modeling rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station.

[0022] During the daily operation of the energy storage power station, the operating status and health status of each energy storage device in the energy storage power station have a certain impact on the safety of the overall operation of the energy storage power station. In this scenario, it is necessary to detect the operating status and health status of each energy storage device in the energy storage power station. Among them, the operating status and health status of each energy storage device can be detected by detecting the operating data and health data of each energy storage device, so as to achieve the purpose of detecting the operating status and health status of each energy storage device.

[0023] In the embodiments of the present application, a corresponding virtual data detection model can be constructed for the energy storage power station, and the operating status and health status of each energy storage device can be detected through the constructed virtual model.

[0024] Optionally, data sampling can be performed on the energy storage power station to obtain the data used for virtual model construction, and then the rendering resources required for constructing the virtual system can be obtained based on the collected data, which is marked as the three-dimensional modeling rendering resources of the energy storage power station.

[0025] In this scenario, based on the modeling algorithms in the related art, algorithm processing can be performed on the three-dimensional modeling rendering resources, and then a virtual model obtained based on the three-dimensional modeling rendering resources can be obtained through the result of the algorithm processing, which is marked as a candidate three-dimensional virtual model of the energy storage power station.

[0026] S102, obtain the component status data of each energy storage component in the energy storage power station to obtain a component status chart of each energy storage component.

[0027] In the embodiments of the present application, a energy storage power station includes a plurality of energy storage components. Data detection can be performed on each energy storage component in the energy storage power station through a virtual model, so as to achieve the purpose of data detection of the energy storage power station.

[0028] In this scenario, state data can be collected for each energy storage component, and the collected state data is determined as the component state data of each energy storage component. Among them, the component state data may include operation data such as the operating current and operating voltage of the energy storage component, and may also include health state data such as the battery life and other hardware life of the energy storage component. It may also include other data of the energy storage component, which is not specifically limited here.

[0029] In the embodiments of the present application, for any energy storage component, data analysis and summary processing can be performed on the component state data of the energy storage component based on the data analysis algorithm in the related technology. Then, based on the chart drawing method in the related technology, a chart is drawn based on the data analysis result obtained from the data analysis and summary, and the drawn chart is marked as the component state chart corresponding to the component state data of the energy storage component.

[0030] S103, perform chart annotation on the candidate three-dimensional virtual model based on the component state chart to obtain the target three-dimensional virtual model of the energy storage power station.

[0031] In the embodiments of the present application, each energy storage component has its own virtual object in the candidate three-dimensional virtual model of the energy storage power station. In this scenario, for any energy storage component, the component state chart of the energy storage component can be marked at a set position of the virtual object corresponding to the energy storage component in the candidate three-dimensional virtual model, so as to achieve chart annotation of the candidate three-dimensional virtual model by the component state chart.

[0032] Furthermore, the virtual model after all component state charts are marked is determined as the target three-dimensional virtual model of the energy storage power station.

[0033] S104, perform visual data detection on the energy storage power station through the target three-dimensional virtual model.

[0034] In the embodiments of the present application, the target three-dimensional virtual model includes virtual objects of each energy storage component in the energy storage power station and corresponding component state charts. In this scenario, data detection of the energy storage power station can be performed through the target three-dimensional virtual model.

[0035] Among them, the target three-dimensional virtual model can visually display the virtual objects of each energy storage component in the energy storage power station and the corresponding component state charts through its set display area, and then realize visual data detection of the energy storage power station through various data in the visual display scenario.

[0036] Optionally, when a virtual object with abnormal data is identified in the energy storage power station through visual data detection, it can be determined that the energy storage component corresponding to the virtual object may have abnormal operation. In this scenario, abnormal elimination processing can be performed on the abnormal energy storage component, thereby achieving the purpose of improving the operation safety and stability of the energy storage power station.

[0037] The data detection method for the energy storage power station proposed in this application obtains the three-dimensional modeling rendering resources of the energy storage power station to obtain a candidate three-dimensional virtual model of the energy storage power station, and performs chart annotation on the candidate three-dimensional virtual model through the component status charts of each energy storage component in the energy storage power station to obtain the target three-dimensional virtual model of the energy storage power station, and then performs visual data detection on the energy storage power station through the target three-dimensional virtual model. In this application, the candidate three-dimensional virtual model is annotated with charts through the component status charts of each energy storage component to obtain the target three-dimensional virtual model, and then visual data detection is performed on the energy storage power station through the target three-dimensional virtual model. Compared with the data detection performed through two-dimensional charts in the related art, the data detection efficiency of the energy storage power station is improved. Visual data detection of the energy storage power station is realized through the display area provided by the target three-dimensional virtual model, the intuitiveness of the data detection of the energy storage power station is improved, the data detection accuracy of the energy storage power station is improved, the data detection cost of the energy storage power station is reduced, the timeliness of the abnormal data detection of the energy storage power station is improved, and thus the timeliness and accuracy of the abnormal elimination processing of the energy storage power station are improved, and the stability and safety of the operation of the energy storage power station are optimized.

[0038] In the above embodiment, regarding the acquisition of the target three-dimensional virtual model and the data detection of the energy storage power station through the target three-dimensional virtual model, it can be combined with Figure 2 for further understanding. Figure 2 is a schematic flowchart of the data detection method for the energy storage power station according to another embodiment of this application. As Figure 2 shown, the method includes:

[0039] S201, perform data sampling on the energy storage power station to obtain two-dimensional modeling data of the energy storage power station, and obtain the three-dimensional modeling rendering resources of the energy storage power station according to the two-dimensional modeling data.

[0040] Optionally, model and draw the two-dimensional modeling data through a pre-acquired drawing component to obtain a two-dimensional modeling image of the energy storage power station, and perform three-dimensional conversion on the two-dimensional modeling image to obtain the three-dimensional modeling rendering resources of the energy storage power station.

[0041] In the embodiment of this application, the required data for constructing the virtual three-dimensional model can be obtained by performing data sampling on the energy storage power station. Among them, the data obtained by sampling the energy storage power station can be two-dimensional data, and this two-dimensional data can be determined as the two-dimensional modeling data of the energy storage power station.

[0042] In this scenario, based on a preset drawing component, a modeling image can be drawn based on two-dimensional modeling data, and the drawn image can be obtained as the two-dimensional modeling image of the energy storage power station.

[0043] As an example, a drawing label component (canvas component) in related technologies can be called, and based on the two-dimensional modeling data, a modeling image can be drawn through the canvas component, thereby obtaining the two-dimensional modeling image of the energy storage power station.

[0044] Furthermore, the two-dimensional modeling image is converted into three dimensions, thereby obtaining the rendering data resources required for constructing the virtual three-dimensional model of the energy storage power station, which is marked as the three-dimensional modeling rendering resources of the energy storage power station.

[0045] It should be noted that the conversion of the above two-dimensional modeling image to three-dimensional modeling rendering resources can be achieved through the engine capabilities of a twin engine in related technologies, or can be achieved by other methods capable of realizing two-dimensional to three-dimensional conversion, and specific limitations are not made here.

[0046] S202, based on the three-dimensional modeling rendering resources, perform three-dimensional rendering on each energy storage component to obtain candidate component models of each energy storage component.

[0047] In the embodiment of the present application, three-dimensional rendering of model construction can be performed through the three-dimensional modeling rendering resources, thereby obtaining a candidate three-dimensional virtual model of the energy storage power station.

[0048] Optionally, from the three-dimensional modeling rendering resources, obtain the component rendering resources of each energy storage component, and perform three-dimensional rendering on the component rendering resources to obtain candidate component models of each energy storage component.

[0049] In the embodiment of the present application, the three-dimensional modeling rendering resources include the modeling rendering resources for constructing the three-dimensional virtual objects corresponding to each energy storage component, and they can be determined as the component rendering resources of each energy storage component.

[0050] In this scenario, the component rendering resources of each energy storage component can be three-dimensionally rendered through a three-dimensional rendering method in related technologies, thereby obtaining the virtual three-dimensional models of each energy storage component, which are marked as the candidate component models of each energy storage component.

[0051] S203, based on each candidate component model, obtain a candidate three-dimensional virtual model of the energy storage power station.

[0052] Optionally, from the three-dimensional modeling rendering resources, obtain the texture map rendering resources of each energy storage component. For any energy storage component, perform three-dimensional rendering of the texture map rendering resource corresponding to the candidate component model of the energy storage component on the candidate component model to obtain the target component model of the energy storage component.

[0053] In the embodiments of the present application, there are texture maps on the surfaces of the virtual objects of each energy storage component in the candidate virtual 3D model. In this scenario, the rendering resources for rendering the surface texture maps of each component candidate model can be obtained from the 3D modeling and rendering resources, and marked as texture map rendering resources. Further, for any energy storage component, through the 3D rendering of the texture map rendering resources corresponding to the energy storage component, the surface of the candidate component model of the energy storage component is rendered with a texture map, and the model obtained after rendering is determined as the target component model of the energy storage component.

[0054] Optionally, the process of obtaining the texture map rendering resources can be understood in combination with the following content:

[0055] Among them, the sprite frame conversion algorithm in related technologies can be used to perform sprite frame conversion on the two-dimensional data corresponding to the texture map, so as to obtain the data of the two-dimensional texture map data in the sprite frame format (SpriteFrame format), and mark this data as the modeling sprite frame data corresponding to the two-dimensional texture map data.

[0056] Further, based on a preset data processing method, data processing is performed on the modeling sprite frame data, so as to obtain the texture map rendering resources obtained based on the two-dimensional texture map according to the results of the data processing.

[0057] It should be noted that the texture map rendering resources may also include relevant font resources. Among them, the two-dimensional font image can be converted into modeling sprite frame data in the sprite frame format, and the corresponding three-dimensional font rendering resources can be obtained based on the modeling sprite frame data in this example. In this scenario, through the 3D rendering of the three-dimensional font rendering resources, the two-dimensional font image can be displayed in a three-dimensional form in the virtual 3D model corresponding to the energy storage power station.

[0058] In the embodiments of the present application, the texture map rendering resources have their respective rendering positions on each candidate component model. As an example, as Figure 3 shown, in the Figure 3 candidate component model shown, there are Figure 3 shown surface a and surface b. In this example, the Figure 3 texture map rendering resources corresponding to the candidate component model shown can use surface a as the rendering position when performing 3D rendering, or use surface b as the rendering position when performing 3D rendering.

[0059] Among them, taking surface a as an example, when the Figure 3 rendering position of the texture map rendering resources of the candidate component model shown is surface a, then on surface a, Figure 3Perform three-dimensional rendering on the texture map rendering resources of the shown candidate component model, and then obtain the rendered target component model. Among them, there is a corresponding texture map on surface a of the target component model.

[0060] Optionally, obtain the object search and positioning strategy among the target component models, where the object search and positioning strategy is obtained based on the relative position relationship of the target component models and the object search and positioning animation.

[0061] In the embodiments of the present application, the display area of the target three-dimensional virtual model has a set size. In this scenario, a corresponding object search and positioning strategy can be configured for the candidate virtual three-dimensional model, so as to realize the display of the target component models of different energy storage components within the display area of the target three-dimensional virtual model.

[0062] Among them, the preset position information of each target component model in the virtual three-dimensional model can be obtained, and the switching trajectory for the switching display of each target component model can be drawn based on this position information. Among them, the relative position relationship between each target component model can be obtained based on this position information, and based on the trajectory drawing method in the related technology, based on this relative position relationship, the switching display trajectory between any two target component models can be drawn.

[0063] Furthermore, configure a corresponding switching display animation for each switching display trajectory, and determine this animation as the object search and positioning animation of each switching display trajectory.

[0064] It can be understood that through the configuration of the switching display trajectory and the object search and positioning animation corresponding to the switching display trajectory, when the target three-dimensional virtual model needs to perform the switching display of the target component model within its display area, the corresponding switching display can be realized based on the animation effect of the configured object search and positioning animation.

[0065] Among them, the animation effect configured for the object search and positioning animation can be the animation effect of perspective flight, or other types of animation effects, which are not specifically limited here.

[0066] Optionally, obtain the initial three-dimensional virtual model to be filled, and load the initial three-dimensional virtual model based on the target component models of each energy storage component and the object search and positioning strategy to obtain the loaded candidate three-dimensional virtual model.

[0067] In the embodiments of the present application, the three-dimensional virtual model to be filled corresponding to the energy storage power station can be determined as the initial three-dimensional virtual model of the energy storage object. In this scenario, the virtual models corresponding to each energy storage component in the energy storage power station can be filled into the initial three-dimensional virtual model, and the filled virtual model is used as the candidate three-dimensional virtual model of the energy storage power station.

[0068] Optionally, each energy storage component has its own configuration position in the energy storage power station. Based on the configuration positions of the energy storage components in the energy storage power station, the filling positions of the target component models of the energy storage components in the initial three-dimensional virtual model can be determined. Then, according to the filling positions, the target component models of the energy storage components are loaded into the initial three-dimensional virtual model. In addition, the object search and positioning strategies between the obtained target component models are loaded into the initial three-dimensional virtual model. Thus, the loading based on the target component models and the object search and positioning strategies into the initial three-dimensional virtual model is realized, and the three-dimensional virtual model obtained by the loading is determined as the candidate three-dimensional virtual model of the energy storage power station.

[0069] S204. Obtain the component status data of each energy storage component in the energy storage power station to obtain the component status charts of each energy storage component.

[0070] Optionally, for any energy storage component, perform data analysis on the component status data of the energy storage component to obtain the status data analysis result of the energy storage component. According to the status data analysis result, perform chart drawing to obtain the component status chart of the energy storage component. Among them, the component status chart includes at least one of bar chart, column chart, line chart, combination chart, area chart, pie chart, nested ring chart, rose chart, dashboard, hierarchical tree chart, relationship chart, bubble chart, word cloud chart, heat map, Sankey diagram, radar chart, parallel coordinate chart, candlestick chart, map, key performance indicator text, key performance indicator chart, list, cross-tabulation, heat map.

[0071] In the embodiments of the present application, the component status charts that need to be marked for each energy storage component can include multiple types. In this scenario, data analysis can be performed on the component status data of each energy storage component, and the results of the data analysis are marked as the status data analysis results of each energy storage component.

[0072] Furthermore, based on the chart drawing methods respectively set for each chart type, chart drawing for each image type can be performed based on the obtained status data analysis results, so as to obtain the component status charts of each energy storage component.

[0073] As an example, as Figure 4 shown, chart drawing can be performed based on the chart drawing method corresponding to the bar chart and the status data analysis result of the energy storage component corresponding to the Figure 4 scenario, so as to obtain the Figure 4 shown bar chart.

[0074] S205. Perform chart annotation on the candidate three-dimensional virtual model based on the component status chart to obtain the target three-dimensional virtual model of the energy storage power station.

[0075] Optionally, for any component status chart, obtain the candidate associated component model of the component status chart in the candidate three-dimensional virtual model.

[0076] In the embodiments of the present application, the component status charts of each energy storage component need to be marked in the candidate 3D virtual model. Among them, for any component status chart, the component model that needs to be marked in the candidate 3D virtual model of the component status chart can be obtained and determined as the candidate associated component model of the component status chart.

[0077] Optionally, the marking area corresponding to the candidate associated component model is obtained, and the component status chart is filled into the marking area to obtain the target associated component model after the candidate associated component model is marked.

[0078] For any component status chart, the area for marking the component status chart can be obtained from the candidate associated component model of the component status chart and determined as the marking area of the component status chart on the candidate associated component model.

[0079] Furthermore, the component status chart is marked in the marking area, so as to realize the chart marking of the component status chart on the candidate associated component model, and the marked component model is determined as the target associated component model.

[0080] As an example, as Figure 4 shown, it is set that the component status chart is Figure 4 the bar chart and table shown, Figure 4 the shown component model is the candidate associated component model of the bar chart and the table in the candidate virtual 3D model, where Figure 4 the shown marking area 1 is the marking area of the bar chart, Figure 4 the shown marking area 2 is the marking area of the table.

[0081] Then in this example, the bar chart can be marked in Figure 4 the shown marking area 1, and the table can be marked in Figure 4 the shown marking area 2, so as to realize the chart marking of the component status chart in this example to its corresponding candidate associated component model, and further obtain the target associated component model after marking.

[0082] Optionally, the candidate 3D virtual model is updated based on each target associated component model to obtain the target 3D virtual model of the energy storage power station.

[0083] In the embodiments of the present application, for any energy storage component, the target associated component model with chart marking corresponding to the energy storage component can be used to cover and fill the target component model corresponding to the energy storage component in the candidate 3D virtual model, so as to realize the update of the target associated component model of the energy storage component in the candidate 3D virtual model.

[0084] Further, based on the above method, each target associated component model is updated to the candidate 3D virtual model, thereby obtaining a 3D virtual model for chart annotation, which serves as the target 3D virtual model of the energy storage power station.

[0085] S206, perform visual data detection on the energy storage power station through the target 3D virtual model.

[0086] Optionally, in response to identifying an abnormal energy storage component with data anomalies in the energy storage power station through the visual area of the target 3D virtual model, obtain the abnormal data items of the abnormal energy storage component, and perform anomaly processing on the abnormal energy storage component based on the abnormal data items.

[0087] In the embodiment of the present application, through the visual area of the target 3D virtual model, data detection can be performed on the virtual objects corresponding to each energy storage component in the target 3D virtual model.

[0088] Among them, when the data of the virtual object displayed in the visual area is abnormal, the energy storage component corresponding to the virtual object can be marked as an abnormal energy storage component in the energy storage power station, and the data item corresponding to the abnormal data can be marked as the abnormal data item of the abnormal energy storage component. The abnormal data item may be abnormal operation data such as abnormal current data and / or abnormal voltage data, or may be abnormal health status data such as abnormal battery life data and / or abnormal hardware status data. No specific limitation is made here.

[0089] In this scenario, an abnormal elimination processing strategy corresponding to the abnormal data item can be obtained, and anomaly processing can be performed on the abnormal energy storage component based on this strategy. Among them, fault isolation can be performed on the abnormal energy storage component, or other methods can be used to perform anomaly processing on it. No specific limitation is made here.

[0090] In the embodiment of the present application, an abnormal alarm strategy is configured in the target 3D virtual model. When an abnormal energy storage component is identified through the visual area, an alarm for the abnormal energy storage component can be based on the abnormal alarm strategy. Among them, an alarm indication sign pre-loaded in the target 3D virtual model can be used for abnormal alarm, or an audible and visual alarm method can be used for abnormal alarm. It is also possible to send the relevant abnormal information of the abnormal energy storage component and the abnormal data item to the staff based on a preset communication method. No specific limitation is made here.

[0091] The data detection method for the energy storage power station proposed in this application uses the component status charts of each energy storage component to perform chart annotation on the candidate three-dimensional virtual model to obtain the target three-dimensional virtual model. Then, through the target three-dimensional virtual model, visual data detection is performed on the energy storage power station. Compared with the data detection performed through two-dimensional charts in the related art, the data detection efficiency of the energy storage power station is improved. Visual data detection of the energy storage power station is realized through the display area provided by the target three-dimensional virtual model, which improves the intuitiveness of the data detection of the energy storage power station, improves the data detection accuracy of the energy storage power station, reduces the data detection cost of the energy storage power station, improves the timeliness of abnormal data detection of the energy storage power station, and further improves the timeliness and accuracy of abnormal elimination processing of the energy storage power station, and optimizes the stability and safety of the operation of the energy storage power station.

[0092] Corresponding to the data detection methods for the energy storage power station proposed in the above several embodiments, an embodiment of this application also proposes a data detection device for the energy storage power station. Since the data detection device for the energy storage power station proposed in the embodiment of this application corresponds to the data detection methods for the energy storage power station proposed in the above several embodiments, the implementation manners of the above data detection methods for the energy storage power station are also applicable to the data detection device for the energy storage power station proposed in the embodiment of this application, and will not be described in detail in the following embodiments.

[0093] Figure 5 It is a schematic structural diagram of the data detection device for the energy storage power station according to an embodiment of this application. As Figure 5 shown, the data detection device 500 for the energy storage power station includes a modeling module 51, an acquisition module 52, an annotation module 53, and a detection module 54, where:

[0094] The modeling module 51 is configured to perform data sampling on the energy storage power station to obtain three-dimensional modeling rendering resources of the energy storage power station, and perform modeling according to the three-dimensional modeling rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station;

[0095] The acquisition module 52 is configured to acquire the component status data of each energy storage component in the energy storage power station to obtain the component status charts of each energy storage component;

[0096] The annotation module 53 is configured to perform chart annotation on the candidate three-dimensional virtual model based on the component status charts to obtain the target three-dimensional virtual model of the energy storage power station;

[0097] The detection module 54 is configured to perform visual data detection on the energy storage power station through the target three-dimensional virtual model.

[0098] In an embodiment of the present application, the modeling module 51 is further configured to: sample data of the energy storage power station to obtain two-dimensional modeling data of the energy storage power station, and obtain three-dimensional modeling rendering resources of the energy storage power station according to the two-dimensional modeling data; based on the three-dimensional modeling rendering resources, perform three-dimensional rendering on each energy storage component to obtain candidate component models of each energy storage component; based on each candidate component model, obtain a candidate three-dimensional virtual model of the energy storage power station.

[0099] In an embodiment of the present application, the modeling module 51 is further configured to: perform modeling and drawing on the two-dimensional modeling data through a pre-acquired drawing component to obtain a two-dimensional modeling image of the energy storage power station; perform three-dimensional conversion on the two-dimensional modeling image to obtain three-dimensional modeling rendering resources of the energy storage power station.

[0100] In an embodiment of the present application, the modeling module 51 is further configured to: obtain component rendering resources of each energy storage component from the three-dimensional modeling rendering resources; perform three-dimensional rendering on the component rendering resources to obtain candidate component models of each energy storage component.

[0101] In an embodiment of the present application, the modeling module 51 is further configured to: obtain texture map rendering resources of each energy storage component from the three-dimensional modeling rendering resources; for any energy storage component, perform three-dimensional rendering of the texture map rendering resource corresponding to the candidate component model of the energy storage component on the candidate component model to obtain a target component model of the energy storage component; obtain a searching and positioning strategy between each target component model, where the searching and positioning strategy is obtained based on the relative position relationship of each target component model and a searching and positioning animation; obtain an initial three-dimensional virtual model to be filled, and load the initial three-dimensional virtual model based on the target component models of each energy storage component and the searching and positioning strategy to obtain a loaded candidate three-dimensional virtual model.

[0102] In an embodiment of the present application, the obtaining module 52 is further configured to: for any energy storage component, perform data analysis on the component status data of the energy storage component to obtain a status data analysis result of the energy storage component; draw a chart according to the status data analysis result to obtain a component status chart of the energy storage component, where the component status chart includes at least one of a bar chart, a column chart, a line chart, a combination chart, an area chart, a pie chart, a nested ring chart, a rose chart, a dashboard, a hierarchical tree chart, a relationship chart, a bubble chart, a word cloud chart, a heat map, a Sankey diagram, a radar chart, a parallel coordinate chart, a candlestick chart, a map, a key performance indicator text, a key performance indicator chart, a list, a cross-tabulation, a heat map.

[0103] In the embodiment of the present application, the annotation module 53 is further configured to: for any component status chart, obtain a candidate associated component model of the component status chart in the candidate 3D virtual model; obtain the annotation area corresponding to the candidate associated component model, and fill the component status chart into the annotation area to obtain a target associated component model after annotating the candidate associated component model; update the candidate 3D virtual model based on each target associated component model to obtain the target 3D virtual model of the energy storage power station.

[0104] In the embodiment of the present application, the detection module 54 is further configured to: in response to identifying an abnormal energy storage component with data anomalies in the energy storage power station through the visualization area of the target 3D virtual model, obtain the abnormal data items of the abnormal energy storage component, and perform abnormal processing on the abnormal energy storage component based on the abnormal data items.

[0105] The data detection device of the energy storage power station proposed in the present application obtains the 3D modeling rendering resources of the energy storage power station to obtain the candidate 3D virtual model of the energy storage power station, performs chart annotation on the candidate 3D virtual model through the component status charts of each energy storage component in the energy storage power station to obtain the target 3D virtual model of the energy storage power station, and then performs visual data detection on the energy storage power station through the target 3D virtual model. In the present application, the candidate 3D virtual model is subjected to chart annotation through the component status charts of each energy storage component to obtain the target 3D virtual model, and then visual data detection is performed on the energy storage power station through the target 3D virtual model. Compared with the data detection performed through 2D charts in the related art, the data detection efficiency of the energy storage power station is improved. Visual data detection of the energy storage power station is realized through the display area provided by the target 3D virtual model, the intuitiveness of the data detection of the energy storage power station is improved, the data detection accuracy of the energy storage power station is improved, the data detection cost of the energy storage power station is reduced, the timeliness of the abnormal data detection of the energy storage power station is improved, and further the timeliness and accuracy of the abnormal elimination processing of the energy storage power station are improved, and the stability and safety of the operation of the energy storage power station are optimized.

[0106] To achieve the above embodiment, the present application also provides an electronic device, a computer-readable storage medium, and a computer program product.

[0107] Figure 6 The block diagram of the electronic device according to an embodiment of the present application is shown as Figure 6 shown. The device 600 includes a memory 61, a processor 62, and a computer program stored in the memory 61 and executable on the processor 62. When the processor 61 executes the program instructions, it implements the data detection method of the energy storage power station proposed in the Figures 1 to 4 embodiment.

[0108] To implement the above embodiment, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to executeFigures 1 to 4 The data detection method of the energy storage power station proposed in the embodiment.

[0109] To implement the above embodiment, the present application also provides a computer program product, which, when executed by an instruction processor in the computer program product, executes Figures 1 to 4 The data detection method of the energy storage power station proposed in the embodiment.

[0110] In the description of this specification, the descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0111] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0112] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of code including one or more executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of the present application includes additional implementations, where the functions can be executed in a manner that is not shown or discussed in sequence, including in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0113] The logic and / or steps represented in the flowchart or otherwise described herein can, for example, be considered as a definitional sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0114] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0115] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0116] In addition, each functional unit in various embodiments of the present application may be integrated into a processing module, or each unit may exist physically alone, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0117] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A data detection method for an energy storage power station, characterized in that: The method comprises: Sampling data of the energy storage power station to obtain three-dimensional modeling and rendering resources of the energy storage power station, and performing modeling according to the three-dimensional modeling and rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station; Acquiring component status data of each energy storage component in the energy storage power station to obtain a component status chart of each energy storage component; Annotating the candidate three-dimensional virtual model based on the component state diagram to obtain a target three-dimensional virtual model of the energy storage power station; The target three-dimensional virtual model is used to perform visual data detection on the energy storage power station.

2. The method according to claim 1, characterized in that The step of sampling data of the energy storage power station to obtain a three-dimensional modeling and rendering resource of the energy storage power station, and performing modeling according to the three-dimensional modeling and rendering resource to obtain a candidate three-dimensional virtual model of the energy storage power station includes: Sampling data of the energy storage power station to obtain two-dimensional modeling data of the energy storage power station, and obtaining three-dimensional modeling rendering resources of the energy storage power station according to the two-dimensional modeling data; Based on the three-dimensional modeling and rendering resources, three-dimensionally render each energy storage component to obtain a candidate component model of each energy storage component; Based on each candidate component model, the candidate three-dimensional virtual model of the energy storage power station is obtained.

3. The method according to claim 2, characterized in that The step of obtaining the three-dimensional modeling rendering resources of the energy storage power station according to the two-dimensional modeling data includes: Modeling and drawing the two-dimensional modeling data by using a pre-acquired drawing component to obtain a two-dimensional modeling image of the energy storage power station; The two-dimensional modeling image is converted into three-dimensional form to obtain the three-dimensional modeling rendering resource of the energy storage power station.

4. The method according to claim 2, characterized in that: The three-dimensional rendering of each energy storage component based on the three-dimensional modeling and rendering resource to obtain a candidate component model of each energy storage component includes: Obtaining component rendering resources of each energy storage component from the three-dimensional modeling rendering resources; The component rendering resource is three-dimensionally rendered to obtain candidate component models of each energy storage component.

5. The method according to claim 2, characterized in that: The step of obtaining the candidate three-dimensional virtual model of the energy storage power station based on each candidate component model includes: Obtaining texture map rendering resources of each energy storage component from the three-dimensional modeling rendering resources; For any energy storage component, three-dimensionally render the texture map rendering resources corresponding to the candidate component model of the energy storage component on the candidate component model to obtain the target component model of the energy storage component; Obtaining a search and location strategy between each target component model, wherein the search and location strategy is obtained based on the relative position relationship between each target component model and a search and location animation; An initial three-dimensional virtual model to be filled is obtained, and the initial three-dimensional virtual model is loaded based on the target component model of each energy storage component and the object-finding and locating strategy to obtain the loaded candidate three-dimensional virtual model.

6. The method according to claim 1, characterized in that The acquiring of component status data of each energy storage component in the energy storage power station to obtain a component status chart of each energy storage component includes: For any energy storage component, performing data analysis on component status data of the energy storage component to obtain a status data analysis result of the energy storage component; A chart is drawn according to the status data analysis result to obtain the component status chart of the energy storage component, wherein the component status chart includes at least one of a column chart, a bar chart, a line chart, a combination chart, an area chart, a pie chart, a nested ring chart, a rose chart, a dashboard, a hierarchical tree chart, a relationship chart, a bubble chart, a word cloud chart, a heat map, a Sankey chart, a radar chart, a parallel coordinate chart, a candlestick chart, a map, a key performance indicator text, a key performance indicator chart, a list, a cross table, and a heat map.

7. The method according to claim 1, characterized in that The step of annotating the candidate three-dimensional virtual model based on the component state chart to obtain a target three-dimensional virtual model of the energy storage power station includes: For any component state diagram, obtaining a candidate associated component model of the component state diagram in the candidate three-dimensional virtual model; Acquire the annotated area corresponding to the candidate associated component model, and fill the component state chart into the annotated area to obtain the target associated component model annotated by the candidate associated component model; The candidate three-dimensional virtual model is updated based on each target-associated component model to obtain the target three-dimensional virtual model of the energy storage power station.

8. The method according to any one of claims 1 to 7, characterized in that The visual data detection of the energy storage power station is performed through the target three-dimensional virtual model, including: In response to identifying an abnormal energy storage component with data abnormality in the energy storage power station through the visualization area of ​​the target three-dimensional virtual model, an abnormal data item of the abnormal energy storage component is obtained, and abnormal processing is performed on the abnormal energy storage component based on the abnormal data item.

9. A data detection device for an energy storage power station, characterized in that: The device comprises: A modeling module, used for sampling data of an energy storage power station to obtain three-dimensional modeling and rendering resources of the energy storage power station, and performing modeling according to the three-dimensional modeling and rendering resources to obtain a candidate three-dimensional virtual model of the energy storage power station; An acquisition module, used to acquire component status data of each energy storage component in the energy storage power station to obtain a component status chart of each energy storage component; A labeling module, configured to label the candidate three-dimensional virtual model based on the component state chart to obtain a target three-dimensional virtual model of the energy storage power station; The detection module is used to perform visual data detection on the energy storage power station through the target three-dimensional virtual model.

10. An electronic device, characterized in that: include: processor; a memory for storing executable instructions for the processor; The processor is configured to execute instructions to implement the method as claimed in any one of claims 1 to 9.

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