A method for controlling smooth switching of main and sub scenes based on three-dimensional GIS power grid digital space

Abstract

The present application belongs to the technical field of power grid management and control, and particularly relates to a method for smoothly switching between main and sub scenes based on three-dimensional GIS power grid digital space control. A power grid digital space model is constructed through three-dimensional GIS technology, and main and sub scenes are divided, covering detailed information such as power equipment, to ensure consistency with actual data. An adaptive interpolation algorithm is used, combined with device state and load change to adjust the transition path, to control the smoothness with weighted interpolation, avoiding lag. Hierarchical gradual rendering is introduced, rendering weights are allocated according to device load and importance, and dynamic fuzzy control is used to improve rendering effect. A differentiated loading strategy and dynamic adjustment precision are used to optimize loading speed and synchronization accuracy, reducing response delay. The present application effectively solves the problem of traditional scene switching, improving the visual effect and real-time performance of the power grid.

Description

Technical Field

[0001] This invention belongs to the field of power grid management and control technology, and in particular relates to a method for smooth switching between master and sub-scenes in power grid digital spatial control based on three-dimensional GIS. Background Technology

[0002] With the continuous expansion of power grid scale and the increasing complexity of its operation, the requirements for scene switching in power grid digital space control are also rising. In 3D GIS power grid digital space control, multiple main and sub-scene switching operations are involved, such as power grid monitoring scenes in different regions and power grid display scenes under different operating states. Traditional scene switching methods have many problems. Stuttering often occurs during the switching process, affecting user experience and real-time monitoring of the power grid's operating status. This is mainly because traditional methods do not fully consider the impact of changes in power grid load and equipment status on scene switching, and cannot dynamically adjust the switching process according to actual conditions. Simultaneously, in terms of scene rendering, there is a lack of effective strategies to ensure rendering quality during switching between different devices, resulting in less smooth transitions. Furthermore, loading speed and response latency are also challenges faced by traditional methods; loading large amounts of data can cause long waiting times, failing to meet the real-time requirements of power grid management. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a method for smooth switching between master and sub-scenes based on 3D GIS power grid digital spatial control.

[0004] To achieve the above objectives, the technical solution adopted by the present invention includes the following steps:

[0005] S1. First, a digital spatial model of the power grid is constructed using 3D GIS technology, and the power grid scene is divided into multiple main scenes and sub-scenes;

[0006] S2. Then, an adaptive interpolation algorithm is adopted, which adjusts the interpolation speed and mode of the transition path in combination with equipment status and load changes. The power grid load status is set as a dynamic weight function, and the smoothness of the scene transition is controlled by weighted interpolation. The interpolation formula is as follows: Where P start P end Let ω(t) be the starting and target coordinates of the scene, ω(t) be the weighting function based on the power grid load, and α be the starting and target coordinates. i It refers to the impact of changes in the state of control equipment on the transition path. It is the rate of change of power grid load;

[0007] S3. Additionally, during scene transitions, a hierarchical gradient rendering method is introduced. For the rendering quality of each device in the scene, different rendering weights are assigned based on its current load and importance within the scene. Dynamic blur control is used to make the rendering smoother. The rendering formula is: Among them I layer,i (t) represents the rendered image of the i-th layer, T i It is the rendering time constant of the i-th layer device;

[0008] S4. Finally, during scene switching, a differentiated loading strategy and dynamic adjustment of precision are used to optimize errors, improve loading speed, and reduce response latency.

[0009] Preferably, the scenario in step S1 includes the spatial location and status information of power equipment, lines, and substations, and high-precision modeling ensures a high degree of consistency between the various data of the power grid and the actual physical environment.

[0010] Preferably, step S2, which uses adaptive weighted interpolation to smooth the scene transition, is specifically implemented as follows:

[0011] S21. First, determine the scene transition path and define the starting coordinates P. start and target coordinates P end The coordinates contain the spatial location and status information of various areas and equipment in the power grid. Through an adaptive interpolation algorithm, the interpolation speed and mode are dynamically adjusted according to the power grid load status and the real-time status of the equipment, so that the scene switching is more in line with the actual load requirements.

[0012] S22. Secondly, the load state is used as a dynamic weight function ω(t), and the weight function is adjusted as the load changes: Where L current (t) represents the current load, L max Maximum load;

[0013] S23. Finally, consider the dynamic impact of equipment status on the transition path, and dynamically adjust the interpolation speed and mode based on changes in equipment status: The term is used to dynamically adjust the interpolation path based on changes in the status of each device, where the grid load change rate is... When the load changes rapidly, the interpolation algorithm will be automatically adjusted to ensure a smooth transition of the path and avoid scene lag caused by sudden load changes.

[0014] Preferably, the impact of the control device state change on the transition path in step S2 is... Where L max,i This is the maximum load of device i. It is the absolute value of the load change rate of device i. Using an absolute value avoids the influence of different load increase or decrease directions.

[0015] Preferably, step S4 is implemented as follows:

[0016] S41. First, based on the real-time load of the power grid and the importance of the equipment, dynamically determine the loading priority of each sub-scenario and device. Assign higher loading priority to systems with higher loads or critical equipment, and load these devices and areas in advance. For devices with lower loads and less important equipment, delay loading. The differentiated formula is as follows: Where L next (t) represents the progress of the next loading step, L current For the pre-loading progress, ΔL diff (t) represents the differential loading increment, controlling the difference in loading rate between different regions. The rate of change of power grid load;

[0017] S42. Dynamically adjust synchronization accuracy to avoid delays. For areas with high load, use higher synchronization accuracy to ensure that the device status is synchronized with the scene. Where E sync (t) represents the synchronization error, indicating the change in device status under different scenarios. f represents the state changes of the i-th device in the current and target scenarios, respectively. sync (t) is the synchronization accuracy function, which dynamically adjusts the synchronization accuracy to optimize the error based on changes in grid load.

[0018] Compared with existing technologies, the advantages and positive effects of this invention are as follows: It constructs a digital spatial model of the power grid based on 3D GIS technology, ensuring high consistency between power grid data and the actual environment, thus providing a foundation for precise control. The adaptive interpolation algorithm adjusts scene transitions according to load and equipment status, avoiding stuttering and ensuring smooth switching. Hierarchical gradient rendering allocates weights based on equipment load and importance, improving rendering quality and highlighting key information. Differentiated loading and dynamic precision adjustment optimize loading speed and synchronization accuracy, reducing latency. Overall, it improves power grid management efficiency, visualization effects, and real-time performance, enhancing the safety and reliability of power grid operation. Detailed Implementation

[0019] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described below with reference to embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0020] Numerous specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways than those described herein, and therefore the invention is not limited to the specific embodiments disclosed in the following specification.

[0021] In practice, existing power grid management methods have gradually revealed numerous shortcomings when faced with massive amounts of equipment information and complex operational states. Scene switching is often simplistic and crude, failing to consider the impact of real-time fluctuations in power grid load and dynamic changes in equipment status on the smoothness of scene transitions. This results in users frequently experiencing lag while monitoring power grid operation, severely interfering with the accurate grasp of the power grid's real-time status. Simultaneously, scene rendering lacks refined processing, failing to effectively allocate rendering resources based on equipment importance and load status, leading to inconsistent image quality and abrupt transitions. Furthermore, slow loading speeds and response delays are frequent issues; the simultaneous loading of large amounts of data causes long waiting times, failing to meet the stringent real-time requirements of power grid management. Therefore, this invention proposes a method for smooth switching between master and sub-scenes based on 3D GIS-based digital spatial control of power grids.

[0022] First, a digital spatial model of the power grid is constructed and divided into main scenes and sub-scenes. Using 3D GIS technology, the spatial location and status information of power equipment, lines, substations, etc., within the power grid scene are integrated to construct a high-precision digital spatial model, which is then rationally divided into multiple main scenes and sub-scenes. Multiple main scenes are defined according to the distribution of the power grid in different regions, and each main scene is further subdivided into sub-scenes based on equipment type or function. This rational division clearly presents the structure and operating status of the power grid, facilitating management and monitoring of different regions and equipment, and making scene switching more targeted and systematic.

[0023] To address the scene transition issue and achieve smooth switching, an adaptive weighted interpolation algorithm is employed. First, the scene transition path is determined, based on starting and target coordinates containing comprehensive information about all areas and equipment of the power grid. Then, the interpolation speed and mode are dynamically adjusted according to the real-time load status of the power grid and the dynamic status of the equipment. The load status is transformed into a dynamic weight function, which automatically adjusts the interpolation weights as the load changes. The scene transition path is first determined, defining the starting coordinate P. start and target coordinates P end The coordinates contain the spatial location and status information of various areas and equipment in the power grid. Through an adaptive interpolation algorithm, the interpolation speed and mode are dynamically adjusted based on the power grid load status and the real-time status of the equipment, making scene switching more consistent with actual load requirements. Secondly, the load status is used as a dynamic weight function ω(t), which adjusts as the load changes. Where L current (t) represents the current load, L max For maximum load; finally, consider the dynamic impact of device status on the transition path, and dynamically adjust the interpolation speed and mode based on changes in device status: The term is used to dynamically adjust the interpolation path based on changes in the status of each device, where the grid load change rate is... When the load changes rapidly, the interpolation algorithm will be automatically adjusted to ensure a smooth transition of the path and avoid scene lag caused by sudden load changes.

[0024] Next, considering the scene rendering stage, a hierarchical gradient rendering method is introduced to improve rendering quality and highlight key information. Based on the current load status of the equipment and its importance in the scene, different rendering weights are assigned to each device. Critical equipment such as ultra-high-voltage lines and large-scale substations, which bear the main power transmission tasks, are assigned higher weights to ensure their rendering quality. Combined with dynamic blur control, the entire scene rendering transition is made natural and smooth. The rendering formula is as follows: Among them I layer,i (t) represents the rendered image of the i-th layer, T i It is the rendering time constant of the i-th layer device. The hierarchical gradient rendering method makes key devices in the scene clear and prominent, while secondary devices are rendered reasonably. This ensures both the overall visual effect and highlights key information. The screen transitions are natural, enhancing the visualization effect and helping maintenance personnel to quickly locate and handle critical issues.

[0025] Finally, to optimize loading speed and reduce response latency, a differentiated loading strategy and a dynamic accuracy adjustment method are adopted. Loading priority is determined based on the real-time grid load and equipment importance, with high-load or critical equipment loaded in advance, and less important equipment loaded later. First, based on the real-time grid load and equipment importance, the loading priority of each sub-scenario and device is dynamically determined. Higher loading priority is assigned to systems with higher loads or critical equipment, and these devices and areas are loaded in advance. For lower-load and less important equipment, loading is delayed. The differentiation formula is: Where L next (t) represents the progress of the next loading step, L current For the pre-loading progress, ΔL diff (t) represents the differential loading increment, controlling the difference in loading rate between different regions. The synchronization accuracy is dynamically adjusted to avoid delays, based on the grid load change rate. For areas with high loads, a higher synchronization accuracy is used to ensure that equipment status is synchronized with the scene. Where E sync (t) represents the synchronization error, indicating the change in device status under different scenarios. f represents the state changes of the i-th device in the current and target scenarios, respectively. sync (t) is the synchronization accuracy function, which dynamically adjusts the synchronization accuracy to optimize the error based on changes in grid load. The application of differentiated loading strategies and dynamic accuracy adjustment significantly optimizes the loading process, reduces unnecessary data transmission waiting time, and makes scene switching faster.

[0026] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments for application in other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for smooth switching between master and sub-scenes in digital spatial control of a three-dimensional GIS power grid, characterized in that, Includes the following steps: S1. First, a digital spatial model of the power grid is constructed using 3D GIS technology, and the power grid scene is divided into multiple main scenes and sub-scenes; S2. Then, an adaptive interpolation algorithm is adopted, which adjusts the interpolation speed and mode of the transition path in combination with equipment status and load changes. The power grid load status is set as a dynamic weight function, and the smoothness of the scene transition is controlled by weighted interpolation. The interpolation formula is as follows: ,in The starting and target coordinates of the scene. The weighting function is based on the grid load. It refers to the impact of changes in the state of control equipment on the transition path. It is the rate of change of power grid load; S3. Additionally, during scene transitions, a hierarchical gradient rendering method is introduced. For the rendering quality of each device in the scene, different rendering weights are assigned based on its current load and importance within the scene. Dynamic blur control is used to make the rendering smoother. The rendering formula is: ,in This represents the rendered image of the i-th layer. It is the rendering time constant of the i-th layer device; S4. Finally, during scene switching, a differentiated loading strategy and dynamic adjustment of precision are used to optimize errors, improve loading speed, and reduce response latency.

2. The method for smooth switching between master and sub-scenes based on three-dimensional GIS power grid digital spatial control according to claim 1, characterized in that, In step S1, the spatial location and status information of power equipment, lines, and substations in the power grid scenario are integrated to construct a high-precision digital spatial model.

3. The method for smooth switching between master and sub-scenes based on three-dimensional GIS power grid digital spatial control according to claim 1, characterized in that, The specific implementation of step S2, which uses adaptive weighted interpolation to smooth the scene transition, is as follows: S21. First, determine the scene transition path and define the starting coordinates. and target coordinates The coordinates contain the spatial location and status information of various areas and equipment in the power grid; S22. Next, construct a dynamic weighting function based on the load status. The weighting function adjusts as the load changes: ,in For the current load, Maximum load; S23. Finally, consider the dynamic impact of equipment status on the transition path, and dynamically adjust the interpolation speed and mode based on changes in equipment status: The term is used to dynamically adjust the interpolation path based on changes in the status of each device, where the grid load change rate is... When the load changes rapidly, the interpolation algorithm will be automatically adjusted to ensure a smooth transition of the path and avoid scene lag caused by sudden load changes.

4. The method for smooth switching between master and sub-scenes based on three-dimensional GIS power grid digital spatial control according to claim 1, characterized in that, The impact of the change in the state of the control device on the transition path in step S2. ,in This is the maximum load of device i. It is the absolute value of the load change rate of device i.

5. The method for smooth switching between master and sub-scenes based on three-dimensional GIS power grid digital spatial control according to claim 1, characterized in that, The steps for implementing step S4 are as follows: S41. First, based on the real-time load of the power grid and the importance of the equipment, dynamically determine the loading priority of each sub-scenario and device. Assign higher loading priority to systems with higher loads or critical equipment, and load these devices and areas in advance. For devices with lower loads and less important equipment, delay loading. The differentiated formula is as follows: ,in For the next loading progress, This represents the current loading progress. To differentiate loading increments and control the loading rate differences between different regions, The rate of change of power grid load; S42. Dynamically adjust synchronization accuracy to avoid delays. For areas with high load, use higher synchronization accuracy to ensure that the device status is synchronized with the scene. ,in Synchronization error represents the amount of change in device status across different scenarios. These represent the state changes of the i-th device in the current and target scenarios, respectively. This is a synchronization accuracy function that dynamically adjusts the synchronization accuracy to optimize the error based on changes in grid load.

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