A rendering precomputation system for power grid data

Abstract

The application discloses a rendering precalculation system for power grid data, and relates to the technical field of power grid data.The rendering precalculation system comprises a data acquisition module, a data integration processing module, a rendering processing module, a display module, a data selection module, a data preprocessing module, a system verification module and a display selection module.The data acquisition module is responsible for collecting a large amount of real-time and historical data from various sensors, monitoring devices and databases of a power grid.The data integration processing module is used for integrating and processing the data collected by the data acquisition module, so that the data of the data acquisition module is more convenient for the rendering processing module to use after being arranged.The application filters and pre-processes data in priority through the data selection module, calls historical rendering data through a data comparison module, and starts system verification at regular time intervals through a timing module in the system verification module, so that the system operation efficiency is improved, the waste of computing resource is reduced, and the system operation stability is enhanced.

Description

Technical Field

[0001] This invention relates to the field of power grid data technology, specifically to a rendering and pre-computation system for power grid data. Background Technology

[0002] The rendering and pre-computation system for power grid data is a technology system specifically designed to process and optimize the rendering and pre-computation of power grid-related data. The main advantage of this system is that it can quickly and accurately present complex power grid data, helping power grid operators and decision-makers to better understand the operation of the power grid, identify potential problems in a timely manner, and make scientific and reasonable decisions to ensure the safe, stable and efficient operation of the power grid.

[0003] Existing rendering budget calculation systems perform all data step by step according to the system's calculation process. This results in the computing power in subsequent steps of the system being unused, leading to waste. The step-by-step calculation method also tends to slow down the system's operation. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the present invention provides a rendering pre-computation system for power grid data, which can solve the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a rendering pre-calculation system for power grid data, comprising: a data acquisition module, a data integration and processing module, a rendering processing module, a display module, a data selection module, a data preprocessing module, a system verification module, and a display selection module;

[0007] The data acquisition module is responsible for collecting a large amount of real-time and historical data from various sensors, monitoring equipment and databases of the power grid.

[0008] The data integration and processing module is used to integrate and process the data collected by the data acquisition module, so that the data collected by the data acquisition module is more convenient for the rendering and processing module to use after being organized.

[0009] The data selection module can select the data that needs to be processed first in the data acquisition module, and then send the selected data to the data preprocessing module for preprocessing.

[0010] The data preprocessing module can preprocess the data selected by the data selection module;

[0011] The display module can display the data rendered by the rendering module.

[0012] As a preferred embodiment of the rendering pre-calculation system for power grid data described in this invention, the display selection module can select the data display method for post-rendering and send the rendering processing module to the display module for display according to the selected rendering method.

[0013] The system verification module can verify the system, thereby using experimental data to process the system and promptly identify system problems;

[0014] The rendering processing module includes a data comparison module, a rendering data extraction module, a rendering model, a data replacement module, and a data storage module. During operation, the data comparison module extracts data stored in the data storage module, thereby comparing the data detected this time with the data from the previous system run, and selecting the system's operating mode based on the difference found in the comparison.

[0015] As a preferred embodiment of the rendering pre-calculation system for power grid data described in this invention, the rendering data extraction module is able to extract the previous rendering results stored in the data storage module.

[0016] The rendering model can process the data processed by the data preprocessing module and the rendering data extraction module according to the analysis algorithm and mathematical model.

[0017] As a preferred embodiment of the rendering pre-calculation system for power grid data described in this invention, the data storage module is capable of storing the system's previous detection data and the processed rendering data.

[0018] The data replacement module can send the data processed by the current rendering model to the data storage module for storage, and delete the data from the previous run stored in the data storage module.

[0019] As a preferred embodiment of the rendering pre-computation system for power grid data described in this invention, the system verification module includes a test database, a data extraction module, a result comparison module, a data transmission module, and a timing module. The test database is used to store data for system testing, so that it can be directly used when testing the system.

[0020] The data extraction module can extract data from the test database and classify the data into test data and calculation result data, so that the two parts of data can be sent to different places for use.

[0021] As a preferred embodiment of the rendering pre-calculation system for power grid data described in this invention, the result comparison module can compare the results of the system's calculation based on the detection data with the calculation results stored in the test database to determine whether the system's calculation results are correct, thereby judging whether the system is operating normally.

[0022] As a preferred embodiment of the rendering pre-calculation system for power grid data described in this invention, the data transmission module isolates the system verification module from the entire system and closes the transmission channel when no system verification is performed to prevent system data corruption.

[0023] The timing module is capable of timing operations, which enables the system to activate the data transmission module every certain period of time to connect the system with the system verification module, thereby verifying the system.

[0024] To further address the aforementioned technical problems, this invention provides the following technical solution: a rendering pre-calculation method for power grid data, comprising: a data acquisition module acquiring real-time and historical data from power grid sensors and monitoring equipment; a data integration and processing module integrating the real-time and historical data; a data selection module filtering priority data from the integrated data; and a data preprocessing module preprocessing the priority data. A data comparison module in a rendering processing module extracts historical rendering data stored in a data storage module; a rendering data extraction module selectively calls the historical rendering data based on the comparison result between the historical rendering data and the preprocessed data; and a rendering model processing the preprocessed data or the historical rendering data. A timing module in a system verification module triggers a data transmission module at preset time intervals; the data transmission module retrieves test data from a test database; the rendering processing module processes the test data to obtain a processing result; and a result comparison module compares the processing result with a standard result in the test database.

[0025] A computer device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of the rendering pre-computation system for power grid data as described above.

[0026] A computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the rendering pre-computation system for power grid data as described above.

[0027] The beneficial effects of the present invention are as follows: 1. The present invention can select the data that needs to be processed first through the data selection module, and process the selected data through the data preprocessing module, so that this part of the data is first transmitted to the rendering processing module for use, while the other data continues to be calculated. This allows multiple parts of the system to run simultaneously, thereby avoiding the waste of computing power and increasing the working speed of the system.

[0028] 2. During operation, the data comparison module of this invention extracts data stored in the data storage module and compares the current data with the data from the previous system run. If the difference between the current data and the previous data is small or there is a lot of overlap, the rendering data extraction module directly extracts the previous rendering result stored in the data storage module. Then, the rendering model only needs to modify the deviation in the data based on the previous rendering result to directly obtain the current rendering result, thereby reducing the intensity of the rendering work of this system.

[0029] 3. In this invention, the data transmission module is activated after the system has been operating for a certain period of time. This allows the data extraction module to extract experimental data from the test database and then transmit the extracted data to the data acquisition module for system use. After the system processes the experimental data, the rendering model transmits the results to the data transmission module, and then to the result comparison module. Simultaneously, the data extraction module transmits the test data results from the test database to the result comparison module for comparison. If the data matches, it indicates that the system is operating normally; if the data does not match, it indicates that the system is malfunctioning. This allows staff to promptly identify problems and maintain the system. Attached Figure Description

[0030] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is an overall flowchart of the present invention;

[0032] Figure 2 This is a flowchart of the rendering processing module of the present invention;

[0033] Figure 3 This is a flowchart of the system verification module of the present invention. Detailed Implementation

[0034] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0035] Many 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 different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0036] Example 1, referring to Figure 1 As an embodiment of the present invention, a rendering pre-computation system for power grid data is provided.

[0037] Please see Figure 1 The present invention provides a technical solution comprising a data acquisition module, a data integration and processing module, a rendering and processing module, a display module, a data selection module, a data preprocessing module, a system verification module, and a display selection module. The output end of the data acquisition module is connected to the data integration and processing module. The data acquisition module is responsible for collecting a large amount of real-time and historical data from various sensors, monitoring equipment, and databases of the power grid.

[0038] The data integration and processing module is used to integrate and process the data collected by the data acquisition module, making the data from the data acquisition module easier for the rendering and processing module to use.

[0039] The output of the data acquisition module is connected to a data selection module. The data selection module and the data integration and processing module are connected in parallel. The data selection module can select the data in the data acquisition module that needs to be processed first, and then send the selected data to the data preprocessing module for preprocessing.

[0040] The output of the data selection module is connected to a data preprocessing module, which can preprocess the data selected by the data selection module.

[0041] The output of the rendering module is connected to a display module, which can display the data rendered by the rendering module.

[0042] The data selection module can select the data that needs to be processed first, and the data preprocessing module processes the selected data. This data is then transmitted to the rendering processing module for use, while the other data continues to be calculated. This allows multiple parts of the system to run simultaneously, thereby avoiding the waste of computing power and increasing the system's working speed.

[0043] like Figure 1 As shown, the input end of the rendering processing module is connected to a display selection module. The display selection module is connected in parallel with the data integration and processing module, and the display selection module is connected in parallel with the data preprocessing module. The display selection module can select the data display method after rendering and send the rendering processing module to the display module for display according to the selected rendering method.

[0044] like Figure 1 As shown, the output of the rendering processing module is connected to the system verification module. The system verification module and the display module are connected in parallel. The system verification module can verify the system, thereby using experimental data to process the system and promptly detect system problems.

[0045] like Figure 2 As shown, the rendering processing module includes a data comparison module, a rendering data extraction module, a rendering model, a data replacement module, and a data storage module. During operation, the data comparison module extracts data stored in the data storage module, thereby comparing the data being tested this time with the data from the previous system run. The system's operating mode is selected based on the differences found in the comparison.

[0046] like Figure 2 As shown, the output of the data comparison module is connected to the rendering data extraction module, which can extract the previous rendering result stored in the data storage module.

[0047] The output of the rendering data extraction module is connected to the rendering model, which can process the data processed by the data preprocessing module and the rendering data extraction module according to the analysis algorithm and mathematical model.

[0048] This invention utilizes the processing of power grid data to transform the raw data into a visual form, thereby enabling an understanding of the data's characteristics and trends, as detailed below:

[0049] Data standardization:

[0050] Standardize the original data matrix X so that the mean of each feature is 0 and the variance is 1.

[0051] If X is an m×n data matrix (m is the number of samples, n is the number of features), then the standardization formula is:

[0052]

[0053] in μ j is the mean of the j-th feature, and σj is the standard deviation of the j-th feature.

[0054] Calculate the covariance matrix:

[0055] The covariance matrix C is calculated as follows:

[0056]

[0057] Where Z is the standardized data matrix.

[0058] Calculate eigenvalues ​​and eigenvectors:

[0059] The problem of finding the eigenvalues ​​of the covariance matrix C:

[0060] Cv=λv

[0061] Where λ is the eigenvalue and v is the corresponding eigenvector.

[0062] Sort eigenvalues ​​and eigenvectors:

[0063] Sort the eigenvalues ​​from largest to smallest and select the eigenvectors corresponding to the first k eigenvalues.

[0064] Construct the projection matrix:

[0065] Construct the projection matrix W, which consists of the selected eigenvectors:

[0066] W = [v1, v2, ..., v k ]

[0067] Where vi is the eigenvector of the i-th principal component.

[0068] Data projection:

[0069] Project the standardized data ZZ onto the new feature space:

[0070] Y = ZW

[0071] Where Y is the data matrix after dimensionality reduction.

[0072] Information retention:

[0073] This algorithm preserves most of the information in the data by selecting the direction with the maximum variance. This means that the dimensionality-reduced data can retain the variation characteristics of the original data as much as possible.

[0074] Remove redundancy:

[0075] This algorithm can remove redundancy between features, especially when there are highly correlated features, and can effectively reduce the complexity of the data.

[0076] For easy visualization:

[0077] The reduced-dimensionality data can be visualized using techniques such as scatter plots to help users understand the data distribution and potential patterns more intuitively.

[0078] Image processing: reducing the dimensionality of high-dimensional image data to facilitate visualization and classification.

[0079] Gene data analysis: processing high-dimensional features of gene expression data.

[0080] like Figure 2 As shown, the input end of the rendering data extraction module is connected to the data storage module. The data storage module is connected in parallel with the data comparison module. The data storage module can store the system's previous detection data and the processed rendering data.

[0081] The input end of the data storage module is connected to the data replacement module. The data replacement module can send the data processed by the current rendering model to the data storage module for storage, and delete the data from the previous run stored in the data storage module.

[0082] During operation, the data comparison module extracts data from the data storage module and compares the current data with the data from the previous system run. If the difference between the current data and the previous data is small or there is a lot of overlap, the rendering data extraction module will directly extract the previous rendering result stored in the data storage module. Then, the rendering model only needs to modify the deviation in the data based on the previous rendering result to directly obtain the current rendering result, thereby reducing the intensity of the system's rendering work.

[0083] like Figure 3 As shown, the system verification module includes a test database, a data extraction module, a result comparison module, a data transmission module, and a timing module. The test database is used to store data for system testing, so that it can be directly used during system detection.

[0084] like Figure 3 As shown, the output end of the test database is connected to a data extraction module. The data extraction module can extract data from the test database and classify the data into test data and calculation result data, so that the two parts of data can be sent to different places for use.

[0085] like Figure 3 As shown, the output of the data extraction module is connected to a result comparison module. The result comparison module can compare the results of the system's calculation based on the detection data with the calculation results stored in the test database to determine whether the system's calculation results are correct and thus determine whether the system is operating normally.

[0086] like Figure 3 As shown, the input end of the result comparison module is connected to the data transmission module. The data transmission module and the data extraction module are connected in parallel. The data transmission module isolates the system verification module from the entire system. When the system is not performing verification, the transmission channel will be closed to prevent system data corruption.

[0087] The input end of the data transmission module is connected to a timing module, which can perform timing work, so that the system will start the data transmission module once every certain period of operation, so that the system can connect with the system verification module to verify the system.

[0088] Every so often, the system activates the data transmission module, which then extracts experimental data from the test database via the data extraction module. This extracted data is then sent to the data acquisition module for system use. After the system processes the experimental data, the rendering model sends the results back to the data transmission module, and then to the result comparison module. Simultaneously, the data extraction module compares the test data results from the test database with the results in the result comparison module. If the data matches, the system is operating normally; if the data does not match, the system is malfunctioning, allowing staff to promptly identify problems and perform system maintenance.

[0089] Working principle: First, the data acquisition module collects a large amount of real-time and historical data from various sensors, monitoring equipment and databases of the power grid. Then, the data collected by the data acquisition module is sent to the data integration and processing module. The data integration and processing module organizes and processes the data collected by the data acquisition module. Then, the integrated and processed data is sent to the data comparison module, which sends the data to the rendering model for rendering processing.

[0090] Simultaneously, the data from the data acquisition module is also sent to the data selection module, which selects the data from the data acquisition module that needs to be processed first. Then, the selected data is sent to the data preprocessing module for preprocessing, and finally, the preprocessed data is sent to the rendering model for further processing.

[0091] The data processed by the data preprocessing module and the rendering data extraction module is processed according to the analysis algorithm and mathematical model through the rendering model. At this time, the staff selects the data display method after rendering through the display selection module, and then sends the rendering model to the display module for display according to the selected rendering method.

[0092] During operation, the data comparison module extracts data from the data storage module and compares it with the data from the previous system run. If the difference between the current data and the previous data is large, the data will be directly sent to the rendering model and run in the same way. If the difference between the current data and the previous data is small or there is overlap in many parts of the data, the rendering data extraction module will directly extract the previous rendering result stored in the data storage module. Then, the rendering model only needs to modify the deviation in the data based on the previous rendering result to directly obtain the current rendering result, thereby reducing the intensity of the rendering work of this system.

[0093] Once the rendering model is successfully rendered, all the processed data and rendering results are sent to the data replacement module. The data replacement module deletes the original data in the data storage module and saves the processed data and rendering results to the data storage module for future use.

[0094] The system uses a timing module for timing. After a certain period of operation, the data transmission module is activated, which in turn extracts experimental data from the test database via the data extraction module. The extracted data is then sent to the data acquisition module for system use. After the system processes the experimental data, the rendering model sends the results back to the data transmission module, and then to the result comparison module. Simultaneously, the data extraction module sends the test data results from the test database to the result comparison module for comparison. If the data matches, the system is operating normally; if the data does not match, the system is malfunctioning, allowing staff to promptly identify problems and perform system maintenance.

[0095] Example 2, an embodiment of the present invention, provides a method for rendering pre-calculation of power grid data, including: S1: a data acquisition module acquires real-time data and historical data from power grid sensors and monitoring equipment; a data integration and processing module integrates the real-time data and historical data; a data selection module selects priority data from the integrated data; and a data preprocessing module preprocesses the priority data.

[0096] S2: The data comparison module in the rendering processing module extracts the historical rendering data stored in the data storage module. The rendering data extraction module selectively calls the historical rendering data based on the comparison results between the historical rendering data and the preprocessed data. The rendering model processes the preprocessed data or the historical rendering data.

[0097] S3: The timing module of the system verification module triggers the data transmission module at preset time intervals. The data transmission module retrieves test data from the test database. The rendering and processing module processes the test data to obtain the processing result. The result comparison module compares the processing result with the standard result in the test database.

[0098] Example 3 is an embodiment of the present invention, which differs from the previous embodiment in that: if the function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0100] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0101] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0102] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A rendering pre-computation system for power grid data, characterized in that, include: The system includes a data acquisition module, a data integration and processing module, a rendering and processing module, a display module, a data selection module, a data preprocessing module, a system verification module, and a display selection module. The data acquisition module is responsible for collecting a large amount of real-time and historical data from various sensors, monitoring equipment and databases of the power grid. The data integration and processing module is used to integrate and process the data collected by the data acquisition module, so that the data collected by the data acquisition module is more convenient for the rendering and processing module to use after being organized. The data selection module can select the data that needs to be processed first in the data acquisition module, and then send the selected data to the data preprocessing module for preprocessing. The data preprocessing module can preprocess the data selected by the data selection module; The display module can display the data rendered by the rendering module; The display selection module can select the data display method after rendering, and send the rendering processing module to the display module for display according to the selected rendering method; The system verification module can verify the system, thereby using experimental data to process the system and promptly identify system problems; The rendering processing module includes a data comparison module, a rendering data extraction module, a rendering model, a data replacement module, and a data storage module. During operation, the data comparison module extracts data stored in the data storage module, thereby comparing the data detected this time with the data from the last system run, and selecting the system's operating mode based on the difference found in the comparison. The system verification module includes a test database, a data extraction module, a result comparison module, a data transmission module, and a timing module. The test database is used to store data for system testing, so that it can be directly used during system detection. The data extraction module can extract data from the test database and classify the data in the test database into test data and calculation result data, so as to send the two parts of data to different places for use; The data transmission module isolates the system verification module from the entire system. When no system verification is being performed, the transmission channel is closed to prevent system data corruption. The timing module is capable of timing operations, which enables the system to activate the data transmission module every certain period of time to connect the system with the system verification module, thereby verifying the system. During operation, the data comparison module extracts data from the data storage module and compares the current data with the data from the previous system run. If the difference between the current data and the previous data is small or there is a lot of overlap, the rendering data extraction module will directly extract the previous rendering result stored in the data storage module. Then, the rendering model only needs to modify the deviation in the data based on the previous rendering result to directly obtain the current rendering result.

2. The rendering pre-calculation system for power grid data as described in claim 1, characterized in that: The rendering data extraction module can extract the previous rendering results stored in the data storage module; The rendering model can process the data processed by the data preprocessing module and the rendering data extraction module according to the analysis algorithm and mathematical model.

3. The rendering pre-calculation system for power grid data as described in claim 2, characterized in that: The data storage module is capable of storing the system's previous detection data and the processed rendering data; The data replacement module can send the data processed by the current rendering model to the data storage module for storage, and delete the data from the previous run stored in the data storage module.

4. The rendering pre-calculation system for power grid data as described in claim 3, characterized in that: The result comparison module can compare the results of the system's calculations based on the detection data with the calculation results stored in the test database to determine whether the system's calculation results are correct, thereby judging whether the system is operating normally.

5. A rendering pre-calculation method for power grid data, based on the rendering pre-calculation system for power grid data according to any one of claims 1 to 4, characterized in that: include, S1: The data acquisition module acquires real-time and historical data from power grid sensors and monitoring equipment; the data integration and processing module integrates the real-time and historical data; the data selection module selects priority data from the integrated data; and the data preprocessing module preprocesses the priority data. S2: The data comparison module in the rendering processing module extracts the historical rendering data stored in the data storage module. The rendering data extraction module selectively calls the historical rendering data based on the comparison result between the historical rendering data and the preprocessed data. The rendering model processes the preprocessed data or the historical rendering data. S3: The timing module of the system verification module triggers the data transmission module at a preset time interval. The data transmission module retrieves test data from the test database. The rendering processing module processes the test data to obtain the processing result. The result comparison module compares the processing result with the standard result in the test database.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the rendering pre-computation system for power grid data as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the rendering pre-computation system for power grid data as described in any one of claims 1 to 4.

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