A power grid risk management method and system based on image data

The grid monitoring screen is integrated and corrected through image processing technology, which solves the problems of inefficiency and missed viewing in traditional grid risk management, realizes the continuous display of highlighted abnormalities, and improves the efficiency and safety of grid risk management.

CN119313173BActive Publication Date: 2025-07-11NARI INFORMATION & COMM TECH
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Patent Information

Application Number
CN202411872085.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-07-11
Estimated Expiration
2044-12-18

AI Technical Summary

Technical Problem

Traditional power grid risk management relies on manual inspection and sensor data, which has problems such as inefficient, high cost and difficulty in covering all areas. Highlight abnormalities in the monitoring screen are easily missed, which poses safety hazards.

Method used

The monitoring screen of the power grid equipment is obtained through the visual terminal, and the image processing technology is used to integrate and correct the screen, retain the highlighted screen and extend its display time to form a continuous video screen.

Benefits of technology

It effectively avoids the missed viewing problem caused by the rapid disappearance of the highlighted image by the monitoring personnel, and improves the efficiency and safety of power grid risk management.

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Abstract

The present application provides a power grid risk management method and system based on image data, belonging to the technical field of image processing. By processing the actual monitoring screen, when a high-brightness image such as a spark or an electric arc appears in the actual monitoring screen, the high-brightness image in the displayed image of the monitoring screen can be retained for more than one frame, avoiding the problem that the monitoring personnel watching the monitoring video miss it due to the too-fast disappearance of the high-brightness image.
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Description

Technical Field

[0001] This application relates to the field of image processing, and in particular to a power grid risk management method and system based on image data. Background Art

[0002] In modern power systems, the stable operation of the power grid is crucial for the normal operation of the social economy. Traditional power grid risk management mainly relies on manual inspections and sensor data, but these methods have limitations such as low efficiency, high costs, and difficulty in covering all areas. In the process of power grid risk management, video monitoring for equipment abnormalities has always been one of the important means.

[0003] When abnormalities occur in power system equipment, high-brightness images such as arcs and sparks may appear. However, due to the instantaneous nature of these images, they may only exist in a certain frame of the actual image in the monitoring equipment, and there may be a problem of missed viewing by monitoring personnel, posing a certain safety hazard. Summary of the Invention

[0004] This application provides a power grid risk management method and system based on image data to improve the above problems.

[0005] To achieve the above object, this application adopts the following technical solutions:

[0006] In a first aspect, an embodiment of this application proposes a power grid risk management method based on image data, which is applicable to a power grid risk management system. The system includes a visual terminal and a control terminal for obtaining monitoring images of power grid equipment. The method includes:

[0007] The control terminal obtains the i-th frame of video image in the monitoring cycle based on the visual terminal, where i is a natural number greater than or equal to 3;

[0008] The control terminal fuses the (i - n)-th frame of video image with the (i + n)-th frame of video image, and obtains a first target image according to the result of the image fusion. The process of image fusion includes retaining the high-brightness images in the (i - n)-th frame of video image and the (i + n)-th frame of video image;

[0009] The control terminal corrects the first target image using the i-th frame of video image and obtains a corrected second target image. The correction process is to correct the average brightness of the first target image to the average brightness of the i-th frame of video image;

[0010] When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis.

[0011] In combination with the first aspect, optionally, the method further includes:

[0012] The control terminal corrects the first target screen using the i-th frame of video image and obtains the corrected second target screen. Wherein, the correction process is to correct the average screen contrast of the first target screen to the average screen contrast of the i-th frame of video image.

[0013] In combination with the first aspect, optionally, the method further includes:

[0014] The control terminal corrects the first target screen using the i-th frame of video image and obtains the corrected second target screen. Wherein, the correction process is to correct the average screen gray level of the first target screen to the average screen gray level of the i-th frame of video image.

[0015] In combination with the first aspect, optionally, the control terminal fuses the (i - n)-th frame of video image and the (i + n)-th frame of video image, and obtains the first target screen according to the result of the screen fusion. The screen fusion process includes retaining the highlighted screens in the (i - n)-th frame of video image and the (i + n)-th frame of video image, including:

[0016] The control terminal divides the (i - n)-th frame of video image so that the (i - n)-th frame of video image forms a plurality of first sub-screens;

[0017] The control terminal performs screen recognition on the plurality of first sub-screens, and determines that the first sub-screen belonging to the feature screen among the plurality of first sub-screens is the first target sub-screen, where the feature screen is a screen composed of highlighted pixels;

[0018] The control terminal mosaics the plurality of first target sub-screens into the (i + n)-th frame of video image so that the (i + n)-th frame of video image forms the first target screen.

[0019] In combination with the first aspect, optionally, mosaicking the plurality of first target sub-screens into the (i + n)-th frame of video image so that the (i + n)-th frame of video image forms the first target screen includes:

[0020] The control terminal divides the (i + n)-th frame of video image so that the (i + n)-th frame of video image forms a plurality of second sub-screens, where one first sub-screen corresponds to one second sub-screen;

[0021] The control terminal obtains the average brightness value of each first target sub-screen and each second sub-screen, and compares the average brightness value of each first target sub-screen with the average brightness value of the second sub-screen corresponding to the first target sub-screen. If the average brightness value of a first target sub-screen is greater than the average brightness value of the second sub-screen corresponding to the first target sub-screen, the second sub-screen in the (i + n)-th frame of video image is replaced with the first target sub-screen.

[0022] In combination with the first aspect, optionally, the system further includes a display terminal. When i = 3, 4, 5... n, the control terminal acquires a total of n - 2 second target images, and after constructing the n - 2 second target images into a continuous video image according to the time axis, it includes:

[0023] The control terminal controls the display terminal to display the continuous video image.

[0024] In a second aspect, an embodiment of the present application proposes a power grid risk management system based on image data. The system includes a visual terminal for acquiring monitoring images of power grid equipment and a control terminal. The method includes:

[0025] The control terminal acquires the i-th frame video image in the monitoring period based on the visual terminal, where i is a natural number greater than or equal to 3;

[0026] The control terminal performs image fusion on the (i - n)-th frame video image and the (i + n)-th frame video image, and obtains a first target image according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame video image and the (i + n)-th frame video image;

[0027] The control terminal corrects the first target image using the i-th frame video image and obtains a corrected second target image. The correction process is to correct the average image brightness of the first target image to the average image brightness of the i-th frame video image;

[0028] When i = 3, 4, 5... n, the control terminal acquires a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis.

[0029] In combination with the second aspect, optionally, the system is configured to:

[0030] The control terminal corrects the first target image using the i-th frame video image and obtains a corrected second target image. The correction process is to correct the average image contrast of the first target image to the average image contrast of the i-th frame video image.

[0031] In combination with the second aspect, optionally, the system is configured to:

[0032] The control terminal corrects the first target image using the i-th frame video image and obtains a corrected second target image. The correction process is to correct the average image gray level of the first target image to the average image gray level of the i-th frame video image.

[0033] In combination with the second aspect, optionally, the system is configured to:

[0034] The control terminal performs frame fusion on the (i - n)-th frame video image and the (i + n)-th frame video image, and obtains a first target image according to the result of the frame fusion. The process of frame fusion includes retaining the highlighted images in the (i - n)-th frame video image and the (i + n)-th frame video image, including:

[0035] The control terminal divides the (i - n)-th frame video image so that the (i - n)-th frame video image forms a plurality of first sub-images;

[0036] The control terminal performs image recognition on the plurality of first sub-images, and determines that the first sub-image belonging to the feature image among the plurality of first sub-images is the first target sub-image, where the feature image is an image composed of highlighted pixels;

[0037] The control terminal mosaics the plurality of first target sub-images into the (i + n)-th frame video image so that the (i + n)-th frame video image forms a first target image.

[0038] Combined with the second aspect, optionally, the system is configured to:

[0039] Mosaicking the plurality of first target sub-images into the (i + n)-th frame video image so that the (i + n)-th frame video image forms a first target image includes:

[0040] The control terminal divides the (i + n)-th frame video image so that the (i + n)-th frame video image forms a plurality of second sub-images, where one first sub-image corresponds to one second sub-image;

[0041] The control terminal obtains the average brightness value of each first target sub-image and each second sub-image, and compares the average brightness value of each first target sub-image with the average brightness value of the second sub-image corresponding to the first target sub-image. If the average brightness value of a first target sub-image is greater than the average brightness value of the second sub-image corresponding to the first target sub-image, the second sub-image in the (i + n)-th frame video image is replaced with the first target sub-image.

[0042] Combined with the second aspect, optionally, the system is configured to:

[0043] The system further includes a display terminal. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and after constructing the n - 2 second target images into a continuous video image according to the time axis, including:

[0044] The control terminal controls the display terminal to display the continuous video image.

[0045] A third aspect of the present invention proposes an electronic device, which includes:

[0046] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method proposed in the first aspect of the embodiments of the present invention.

[0047] A fourth aspect of the present invention proposes a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the method proposed in the first aspect of the embodiments of the present invention.

[0048] In summary, the above method and system have the following technical effects:

[0049] A power grid risk management system based on image data proposed in this application. First, the i-th frame of video image in the monitoring period is obtained based on a vision terminal. Then, the (i - n)-th frame of video image is fused with the (i + n)-th frame of video image, and a first target image is obtained according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame of video image and the (i + n)-th frame of video image. Then, the first target image is corrected using the i-th frame of video image, and a corrected second target image is obtained. The process of correction is to correct the average image brightness of the first target image to the average image brightness of the i-th frame of video image. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis. In the power grid risk management system based on image data proposed in the embodiments of this application, through the processing of the actual monitoring images, when a highlighted image such as a spark or an electric arc appears in the actual monitoring images, the highlighted image in the displayed monitoring images can be retained for more than one frame of time, avoiding the problem that the monitoring personnel watching the monitoring video miss the highlighted image due to its too fast disappearance. Description of the Drawings

[0050] Figure 1 It is a schematic flowchart of a power grid risk management method based on image data proposed in the embodiments of this application. Detailed Embodiments

[0051] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0052] An embodiment of the present application proposes a power grid risk management method based on image data, which is applicable to a power grid risk management system. The system includes a visual terminal for acquiring monitoring images of power grid equipment and a control terminal. Please refer to Figure 1 , and the method includes the following steps:

[0053] S101: The control terminal acquires the i-th frame of video image in the monitoring period based on the visual terminal, where i is a natural number greater than or equal to 3.

[0054] It can be understood that the visual terminal in this embodiment can be a camera or some other detection devices that acquire images multiple times, which is not limited in this embodiment.

[0055] S102: The control terminal fuses the (i - n)-th frame of video image with the (i + n)-th frame of video image, and obtains a first target image according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame of video image and the (i + n)-th frame of video image.

[0056] It can be understood that in this embodiment, first, a video image is selected, and then, the previous image and the next image of the video image are fused. In this way, in the fused image, the highlighted problems that appear in a single frame will also be retained in multiple frames in the actually displayed video. As an implementation manner, in the present application, pixels with higher brightness can be directly selected, and the discrete pixels with higher brightness are all superimposed together to make the final result more prominent.

[0057] Specifically, as an implementation manner, the following method can be adopted:

[0058] S1021: The control terminal divides the (i - n)-th frame of video image so that the (i - n)-th frame of video image forms a plurality of first sub-images.

[0059] It can be understood that in the process of image recognition, dividing the image is a basic step. The size of the first sub-image in this embodiment should be as small as possible to make the accuracy of image recognition higher. Of course, the size of the first sub-image is limited by the processing ability of the processing device in actual situations, and the specific parameters are not limited in the present application.

[0060] S1022: The control terminal performs image recognition on the plurality of first sub-images, and determines the first sub-image belonging to the feature image among the plurality of first sub-images as the first target sub-image, where the feature image is an image composed of highlighted pixels;

[0061] S1023: The control terminal inlays the plurality of first target sub-images into the (i + n)-th frame of video image so that the (i + n)-th frame of video image forms a first target image.

[0062] It can be understood that the (i + n)-th frame of the video picture is segmented so that the (i + n)-th frame of the video picture forms multiple second sub-pictures. Among them, one first sub-picture corresponds to one second sub-picture one by one. The control terminal obtains the average brightness values of each first target sub-picture and each second sub-picture, and compares the average brightness value of each first target sub-picture with the average brightness value of the second sub-picture corresponding to the first target sub-picture. If the average brightness value of a first target sub-picture is greater than the average brightness value of the second sub-picture corresponding to the first target sub-picture, the second sub-picture in the (i + n)-th frame of the video picture is replaced with the first target sub-picture. In this way, the fusion of images can be achieved.

[0063] S103: The control terminal corrects the first target picture by using the i-th frame of the video picture and obtains the corrected second target picture. Among them, the correction process is to correct the average brightness of the first target picture to the average brightness of the i-th frame of the video picture.

[0064] It can be understood that during the superposition process, the pixel superposition process will inevitably result in a lower gray value and a higher contrast value of the superimposed image compared to the original image. In order to enable the superimposed image to retain the corresponding gray value or contrast value of the original image, or be closer to the contrast value or gray value in the original image, optionally, the superimposed image can also be calibrated by the gray value and contrast value of the second target image.

[0065] Optionally, for the same reason, the control terminal corrects the first target picture by using the i-th frame of the video picture and obtains the corrected second target picture. Among them, the correction process is to correct the average contrast of the first target picture to the average contrast of the i-th frame of the video picture.

[0066] Optionally, for the same reason, the control terminal corrects the first target picture by using the i-th frame of the video picture and obtains the corrected second target picture. Among them, the correction process is to correct the average gray of the first target picture to the average gray of the i-th frame of the video picture.

[0067] S104: When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target pictures and constructs the n - 2 second target pictures into a continuous video picture according to the time axis.

[0068] It can be understood that specifically, in this embodiment, when n = 2, that is, the first and the third are superimposed, when n = 3, the second and the fourth are superimposed... and so on. In this way, when there are i frames in the video picture, n - 2 superimposed pictures can be obtained, that is, a video image with a 2-frame delay is formed. The highlighted pictures in this video image can be displayed for multiple frames. It is convenient for video surveillance personnel to monitor.

[0069] Optionally, in some embodiments, the system further includes a display terminal for displaying a monitoring screen. It can be understood that the control terminal controls the display terminal to display continuous video images.

[0070] A power grid risk management method based on image data proposed in an embodiment of the present application. First, the i-th frame of video image in a monitoring period is obtained based on a vision terminal. Then, the (i - n)-th frame of video image is fused with the (i + n)-th frame of video image, and a first target image is obtained according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame of video image and the (i + n)-th frame of video image. Then, the first target image is corrected using the i-th frame of video image, and a corrected second target image is obtained. The correction process is to correct the average image brightness of the first target image to the average image brightness of the i-th frame of video image. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis. A power grid risk management method based on image data proposed in an embodiment of the present application, through the processing of actual monitoring images, when a highlighted image such as a spark or an arc appears in the actual monitoring image, the highlighted image in the displayed monitoring image can be retained for more than one frame of time, avoiding the problem that the monitoring personnel watching the monitoring video miss the highlighted image due to its too fast disappearance.

[0071] Based on the same inventive concept, an embodiment of the present application proposes a power grid risk management system based on image data. The system includes a vision terminal for obtaining a monitoring image of a power grid device and a control terminal for performing the following method:

[0072] The control terminal obtains the i-th frame of video image in a monitoring period based on the vision terminal, where i is a natural number greater than or equal to 3;

[0073] The control terminal fuses the (i - n)-th frame of video image with the (i + n)-th frame of video image, and obtains a first target image according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame of video image and the (i + n)-th frame of video image;

[0074] The control terminal corrects the first target image using the i-th frame of video image, and obtains a corrected second target image. The correction process is to correct the average image brightness of the first target image to the average image brightness of the i-th frame of video image;

[0075] When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis.

[0076] Optionally, the system can also execute the following method:

[0077] The control terminal corrects the first target picture using the i-th frame video picture and obtains the corrected second target picture. Among them, the correction process is to correct the average picture contrast of the first target picture to the average picture contrast of the i-th frame video picture.

[0078] Optionally, the system can also execute the following method:

[0079] The control terminal corrects the first target picture using the i-th frame video picture and obtains the corrected second target picture. Among them, the correction process is to correct the average picture gray level of the first target picture to the average picture gray level of the i-th frame video picture.

[0080] Optionally, the system can also execute the following method:

[0081] The control terminal performs picture fusion on the (i - n)-th frame video picture and the (i + n)-th frame video picture, and obtains the first target picture according to the result of the picture fusion. The picture fusion process includes retaining the highlighted pictures in the (i - n)-th frame video picture and the (i + n)-th frame video picture, including:

[0082] The control terminal divides the (i - n)-th frame video picture so that the (i - n)-th frame video picture forms multiple first sub-pictures;

[0083] The control terminal performs picture recognition on multiple first sub-pictures, and determines that the first sub-picture belonging to the feature picture among the multiple first sub-pictures is the first target sub-picture, where the feature picture is a picture composed of highlighted pixels;

[0084] The control terminal mosaics multiple first target sub-pictures into the (i + n)-th frame video picture so that the (i + n)-th frame video picture forms the first target picture.

[0085] Optionally, the system can also execute the following method:

[0086] Mosaicking multiple first target sub-pictures into the (i + n)-th frame video picture so that the (i + n)-th frame video picture forms the first target picture includes:

[0087] The control terminal divides the (i + n)-th frame video picture so that the (i + n)-th frame video picture forms multiple second sub-pictures, where one first sub-picture corresponds to one second sub-picture;

[0088] The control terminal obtains the average brightness values of each first target sub - picture and each second sub - picture, and compares the average brightness value of each first target sub - picture with the average brightness value of the second sub - picture corresponding to the first target sub - picture. If the average brightness value of a first target sub - picture is greater than the average brightness value of the second sub - picture corresponding to the first target sub - picture, the second sub - picture in the (i + n)-th frame video picture is replaced with the first target sub - picture.

[0089] Optionally, the system can also perform the following method:

[0090] The system further includes a display terminal. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target pictures, and after constructing the n - 2 second target pictures into a continuous video picture according to the time axis, it includes:

[0091] The control terminal controls the display terminal to display the continuous video picture.

[0092] A power grid risk management system based on image data proposed in an embodiment of the present application. First, based on a vision terminal, the i - th frame video picture in a monitoring period is obtained. Then, the (i - n)-th frame video picture and the (i + n)-th frame video picture are subjected to picture fusion. According to the result of the picture fusion, a first target picture is obtained. The process of picture fusion includes retaining the highlighted pictures in the (i - n)-th frame video picture and the (i + n)-th frame video picture. Then, the first target picture is corrected using the i - th frame video picture, and a corrected second target picture is obtained. The correction process is to correct the average brightness of the first target picture to the average brightness of the i - th frame video picture. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target pictures, and constructs the n - 2 second target pictures into a continuous video picture according to the time axis. A power grid risk management system based on image data proposed in an embodiment of the present application, through the processing of actual monitoring pictures, when a highlighted image such as a spark or an electric arc appears in an actual monitoring picture, the highlighted image in the displayed monitoring picture can be retained for more than one frame of time, avoiding the problem that the monitoring personnel watching the monitoring video miss the highlighted image due to its too fast disappearance.

[0093] Based on the same inventive concept, an embodiment of the present application also proposes an electronic device, which includes:

[0094] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the power grid risk management method based on image data of the embodiment of the present application.

[0095] In addition, to achieve the above object, an embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the power grid risk management method based on image data according to the embodiment of the present application.

[0096] The following is a specific introduction to each component of the electronic device:

[0097] Among them, the processor is the control center of the electronic device, which can be a single processor or a collective term for multiple processing elements. For example, the processor is one or more central processing units (CPUs), or can be an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as: one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs).

[0098] Optionally, the processor can execute various functions of the electronic device by running or executing software programs stored in the memory and calling data stored in the memory.

[0099] Among them, the memory is used to store the software program for implementing the solution of the present invention and is controlled by the processor for execution. The specific implementation manner can refer to the above method embodiments and will not be elaborated here.

[0100] Optionally, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or may also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be integrated with the processor or exist independently and be coupled to the processor through the interface circuit of the electronic device. The embodiments of the present invention do not make specific limitations on this.

[0101] A transceiver for communicating with a network device or with a terminal device.

[0102] Optionally, the transceiver may include a receiver and a transmitter. Among them, the receiver is used to implement the receiving function, and the transmitter is used to implement the transmitting function.

[0103] Optionally, the transceiver may be integrated with the processor or exist independently and be coupled to the processor through the interface circuit of the router. The embodiments of the present invention do not make specific limitations on this.

[0104] In addition, the technical effects of the electronic device may refer to the technical effects of the data transmission method in the above method embodiments and will not be elaborated here.

[0105] It should be understood that the processor in the embodiments of the present invention may be a central processing unit (CPU), and this processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0106] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0107] The above-described embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any other combination. When implemented using software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0108] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this document generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship, which can be understood specifically by referring to the context before and after.

[0109] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0110] It should be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the above processes do not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0111] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

Claims

1. A power grid risk management method based on image data, characterized in that, Applicable to a power grid risk management system, which includes a visual terminal for obtaining monitoring images of power grid equipment and a control terminal. The method includes: The control terminal obtains the i-th frame video image in the monitoring period based on the visual terminal, where i is a natural number greater than or equal to 3; The control terminal fuses the (i - n)-th frame of the video image with the (i + n)-th frame of the video image, and obtains a first target image according to the result of the image fusion. The process of image fusion includes retaining the highlighted images in the (i - n)-th frame of the video image and the (i + n)-th frame of the video image. The fusion process includes retaining the high-brightness discrete pixels in the (i - n)-th frame of the video image and the (i + n)-th frame of the video image, and superimposing all the discrete pixels; The control terminal segments the (i - n)-th frame of the video image so that the (i - n)-th frame of the video image forms a plurality of first sub-images; The control terminal performs image recognition on the plurality of first sub-images, and determines that the first sub-image belonging to the feature image among the plurality of first sub-images is the first target sub-image, where the feature image is an image composed of highlighted pixels; The control terminal mosaics the plurality of first target sub-images into the (i + n)-th frame of the video image so that the (i + n)-th frame of the video image forms the first target image; The control terminal segments the (i + n)-th frame of the video image so that the (i + n)-th frame of the video image forms a plurality of second sub-images, where one first sub-image corresponds to one second sub-image; The control terminal obtains the average brightness value of each first target sub-image and each second sub-image, and compares the average brightness value of each first target sub-image with the average brightness value of the second sub-image corresponding to the first target sub-image. If the average brightness value of a first target sub-image is greater than the average brightness value of the second sub-image corresponding to the first target sub-image, then the second sub-image in the (i + n)-th frame of the video image is replaced with the first target sub-image; The control terminal corrects the first target image using the i-th frame of the video image and obtains a corrected second target image. The correction process is to correct the average brightness of the first target image to the average brightness of the i-th frame of the video image; When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target images, and constructs the n - 2 second target images into a continuous video image according to the time axis.

2. The power grid risk management method based on image data according to claim 1, characterized in that The method further includes: The control terminal corrects the first target image using the i-th frame of the video image and obtains a corrected second target image. The correction process is to correct the average contrast of the first target image to the average contrast of the i-th frame of the video image.

3. The grid risk management method based on image data according to claim 1, wherein, The method further includes: The control terminal corrects the first target picture by using the video picture of the i-th frame, and obtains a corrected second target picture. The correction process is to correct the average gray level of the first target picture to the average gray level of the video picture of the i-th frame.

4. The power grid risk management method based on image data according to claim 1, wherein, The system further includes a display terminal. When i = 3, 4, 5... n, the control terminal obtains a total of n - 2 second target pictures, and after constructing the n - 2 second target pictures into a continuous video picture according to the time axis, it includes: The control terminal controls the display terminal to display the continuous video picture.

5. A power grid risk management system based on image data, characterized in that, It includes a visual terminal and a control terminal for obtaining the monitoring picture of grid equipment. The system can execute a grid risk management method based on image data as described in claim 1.

6. An electronic device, characterized in that, It includes: At least one processor; And a memory communicatively connected to at least one of the processors. The memory stores instructions executable by at least one of the processors. When the instructions are executed by at least one of the processors, at least one of the processors can execute the method as claimed in any one of claims 1 - 3.

Citation Information

Patent Citations

  • Optical flow estimation method, related device, equipment and computer readable storage medium

    CN113673545A

  • Display device and driving method and driving device therefor, and computer-readable storage medium

    WO2021169559A1