Substation online monitoring method and system

Abstract

The present disclosure provides a method and system for online monitoring of a substation, which belongs to the field of electric power monitoring technology. The method includes: obtaining a first infrared image of electric power equipment based on an inspection route specified by an inspection robot; processing the first infrared image to obtain a plurality of first image blocks; adjusting parameters corresponding to the plurality of first image blocks based on radiation power to obtain a second infrared image; and obtaining the temperature value of the electric power equipment based on the second infrared image. The present disclosure provides a method and system for online monitoring of a substation to solve the problem that traditional temperature monitoring of electric power equipment cannot accurately provide strong protection for the safe operation of the substation.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of power monitoring, and more specifically, relates to a substation online monitoring method and system. Background Art

[0002] With the increasing complexity of power systems and the continuous growth of power demand, the safe operation of substations is crucial to the stability of the entire power grid. Among them, temperature monitoring is a key link to ensure the safe and stable operation of equipment. Traditional temperature monitoring methods for power equipment mainly rely on sensors installed on the equipment, however, this method has certain limitations.

[0003] First, the installation location and number of sensors are limited by the equipment structure and operating space, making it difficult to fully cover all key parts of power equipment, resulting in blind monitoring areas. Second, sensors may be affected by environmental factors such as dust, humidity, corrosion, etc. during long-term operation, which may affect their measurement accuracy and reliability. As a result, it is impossible to accurately provide strong protection for the safe operation of substations. Summary of the invention

[0004] The purpose of the present disclosure is to provide a substation online monitoring method and system to solve the problem that traditional power equipment temperature monitoring cannot accurately provide strong guarantee for the safe operation of the substation.

[0005] A first aspect of an embodiment of the present disclosure provides a substation online monitoring method, including:

[0006] Obtaining a first infrared image of the electric power equipment based on an inspection route specified by the inspection robot;

[0007] Processing the first infrared image to obtain a plurality of first image blocks;

[0008] Adjusting parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image;

[0009] A temperature value of the electric power equipment is obtained based on the second infrared image.

[0010] A second aspect of the embodiments of the present disclosure provides an online monitoring device for a substation, including:

[0011] Infrared image acquisition module: used to obtain a first infrared image of the power equipment based on the inspection route specified by the inspection robot;

[0012] Infrared image processing module: used for processing the first infrared image to obtain a plurality of first image blocks;

[0013] Infrared image adjustment module: used for adjusting the parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image;

[0014] Temperature display module: used to obtain the temperature value of the power equipment based on the second infrared image.

[0015] According to a third aspect of an embodiment of the present disclosure, a substation online monitoring system is provided, wherein the substation online monitoring system includes an electronic device, wherein the electronic device includes a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the steps of the above-mentioned substation online monitoring method are implemented.

[0016] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned substation online monitoring method are implemented.

[0017] The beneficial effects of the substation online monitoring method and system provided by the embodiments of the present disclosure are:

[0018] The disclosed embodiment significantly improves the efficiency and accuracy of temperature monitoring of power equipment by combining inspection robots and infrared image processing technology. First, the inspection robot is used to automatically obtain the first infrared image of the power equipment according to the prescribed inspection route, ensuring the real-time and comprehensiveness of the data. Secondly, the first infrared image is refined and divided into multiple first image blocks, which is conducive to subsequent targeted parameter adjustment. The method dynamically adjusts the parameters of the first image block based on the radiation power, generates a clearer and more accurate second infrared image, and can more intuitively reflect the temperature distribution of the power equipment. Finally, the temperature value calculated based on the second infrared image provides reliable data support for fault warning and status assessment of the power equipment. It not only improves the operating safety of the substation, but also reduces the operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 A schematic diagram of a flow chart of a substation online monitoring method provided by an embodiment of the present disclosure;

[0021] Figure 2 A structural block diagram of a substation online monitoring device provided by an embodiment of the present disclosure;

[0022] Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0024] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0025] Please refer to Figure 1 , Figure 1 A schematic diagram of a flow chart of a substation online monitoring method provided by an embodiment of the present disclosure, the method comprising:

[0026] S101: Obtain a first infrared image of the power equipment based on an inspection route specified by the inspection robot.

[0027] In this embodiment, a patrol robot with infrared imaging function is deployed in the substation. The patrol robot has a built-in navigation system (such as GPS, lidar or visual navigation system, etc.), which can autonomously navigate according to the preset or dynamically planned optimal patrol route. This route covers all key power equipment, ensuring that the robot can approach and capture infrared images of these devices.

[0028] When the robot reaches the preset power equipment location, it automatically starts the infrared imaging device it carries. The infrared imaging device can capture the infrared radiation emitted by the power equipment and convert it into a digital signal. The robot can store the acquired infrared image in its internal memory as the first infrared image.

[0029] This embodiment captures infrared radiation images of the surface of power facilities without interfering with the operation of power equipment, thereby ensuring the comprehensiveness of substation power equipment monitoring and the integrity of equipment coverage.

[0030] S102: Process the first infrared image to obtain a plurality of first image blocks.

[0031] In this embodiment, in order to provide a basis for subsequent temperature value calculation or other analysis operations, it is necessary to decompose the complex image information into smaller units that are easier to process.

[0032] In one embodiment of the present disclosure, the first infrared image is processed to obtain a plurality of first image blocks, including:

[0033] Segmenting the first infrared image to obtain a plurality of second image blocks;

[0034] The backgrounds of the plurality of second image blocks are removed to obtain a plurality of first image blocks.

[0035] In this embodiment, first, the first infrared image is segmented into a plurality of second image blocks, with the purpose of segmenting the original infrared image into a plurality of smaller regions that are easier to process and analyze according to a certain rule or algorithm.

[0036] In this embodiment, the selection of the segmentation algorithm can be determined according to the characteristics of the image and specific requirements. Common image segmentation algorithms include threshold-based segmentation, edge-based segmentation, region-based segmentation, etc. For infrared images, this embodiment focuses on the temperature distribution of power equipment, so a threshold segmentation method based on temperature or grayscale value can be selected to divide the areas with similar temperature or grayscale values ​​in the image together.

[0037] In this embodiment, the layout of the power equipment in the substation and the wiring connection relationship between the power equipment are relatively complex. In order to accurately monitor the temperature of the power equipment and display it more clearly on the image, this embodiment removes the background in these image blocks after obtaining multiple second image blocks. The background usually refers to the area in the image that does not belong to the power equipment itself, such as the sky, the ground, the building, etc. Since these areas have no practical value for the temperature monitoring of the power equipment, they need to be removed from the second image block.

[0038] In one embodiment of the present disclosure, removing the backgrounds of the plurality of second image blocks includes:

[0039] Extracting a plurality of first features corresponding to the plurality of second image blocks;

[0040] Obtaining importance levels corresponding to the plurality of first features according to the plurality of first features;

[0041] The backgrounds of the plurality of second image blocks are removed based on the importance levels corresponding to the plurality of first features.

[0042] Image background removal usually depends on the characteristics of the image and the contrast between the background and the power equipment. For example, threshold-based background removal is used, that is, a suitable threshold is set, and the area in the image with a temperature or grayscale value lower than the threshold is regarded as the background and removed.

[0043] In this embodiment, the features of the plurality of second image blocks are analyzed and the background removal is determined according to their importance. This method combines feature extraction and evaluation to achieve more intelligent and accurate processing.

[0044] First, a plurality of first features are extracted from each second image block. These features may include color, texture, shape, etc. These features can describe different regions in the image block.

[0045] Secondly, the importance of these first features can be evaluated through machine learning or deep learning models (such as convolutional neural network CNN) to obtain the corresponding importance level of each feature.

[0046] For example, a convolutional neural network (CNN) model is used to obtain the importance level of each feature. Specifically:

[0047] Input layer: used to receive image patches as input.

[0048] Convolutional layer: Multiple convolutional layers are used to extract features, and each layer can be followed by an activation function (such as ReLU).

[0049] Pooling layer: You can use max pooling or average pooling to reduce the spatial dimension and keep the most important features.

[0050] Global Average Pooling (GAP): It compresses the dimension of each feature map to 1x1, retaining the average value of each feature channel.

[0051] Fully connected layer (FC): Follows GAP or directly follows the last convolutional layer to convert features into importance scores.

[0052] Output layer: Depending on the task requirements, it can be a softmax function (multi-classification) or a linear function (regression task prediction importance score).

[0053] Based on this, the importance level corresponding to each feature is expressed as:

[0054]

[0055] Where I represents the importance level, N is the number of features, is the value of the ith feature. is the weight associated with the ith feature, is the bias term. f is the sigmoid function, which is used to convert the result of weighted summation into a meaningful range.

[0056] Finally, based on the importance levels of these features, the present embodiment can remove the background portion in the second image block by image segmentation or image masking technology. For example, for feature regions with a lower importance level, the present embodiment can identify them as background and remove them from the image block by setting a mask or threshold.

[0057] In this embodiment, after the background removal process, the remaining image area is the image block (first image block) of the power equipment itself or its key parts. The background removal method based on feature importance evaluation can more accurately identify and remove the background area in the second image block. Compared with the traditional threshold or edge monitoring method, this method can better cope with complex backgrounds and changing lighting conditions, and improve the accuracy and robustness of image processing. The first image block obtained by this method will only contain the power equipment itself or its key parts, providing a more accurate and reliable data basis for subsequent temperature value calculation and analysis.

[0058] S103: Adjust parameters corresponding to the plurality of first image blocks (such as image resolution, pixels, etc.) based on the radiation power to obtain a second infrared image.

[0059] In this embodiment, the radiation power generated by the power equipment is different if the temperature is different. The parameters corresponding to the first image blocks are adjusted based on the radiation power to obtain the second infrared image, so as to correct and enhance the radiation of the infrared image and ensure that the image accurately reflects the real temperature of the object.

[0060] After the above steps, this embodiment obtains multiple first image blocks, which may come from different power devices or different parts of the same device. Since the radiation power of each part is different, directly merging these image blocks may cause some areas in the image to be too bright or too dark, affecting the accurate judgment of temperature distribution.

[0061] In order to solve this problem, the present embodiment evaluates the radiation power of each first image block. In the present embodiment, the evaluation of the radiation power can be achieved according to the Stefan-Boltzmann law. That is, when acquiring the infrared image of the power equipment, the radiation power of the power equipment is collected. Then, the present embodiment adjusts the parameters of each image block according to the evaluated radiation power.

[0062] For example, for image blocks with higher radiation power, this embodiment can increase their resolution or pixel intensity to retain more detail information; while for image blocks with lower radiation power, this embodiment can appropriately reduce their resolution or pixel intensity to reduce noise and interference.

[0063] In one embodiment of the present disclosure, adjusting parameters corresponding to a plurality of first image blocks based on radiation power to obtain a second infrared image includes:

[0064] If the radiation powers corresponding to the plurality of first image blocks are greater than the first percentage, adjusting the resolutions of all the first image blocks to obtain a second infrared image;

[0065] If the radiation powers corresponding to the plurality of first image blocks are between the first percentage and the second percentage, adjusting the resolution of the first image blocks corresponding to the radiation powers between the first percentage and the second percentage to obtain a second infrared image;

[0066] The first percentage is greater than the second percentage.

[0067] In this embodiment, during the process of processing and merging multiple first image blocks into a second infrared image, this embodiment dynamically adjusts their resolutions based on the radiation power corresponding to these image blocks, thereby improving the quality of the infrared image and more accurately monitoring the temperature of the power equipment.

[0068] First, this embodiment sets two percentage thresholds: a first percentage and a second percentage, wherein the first percentage is greater than the second percentage. The two percentages are used to determine to what extent resolution adjustment is required for image blocks with different radiation powers.

[0069] If the radiation powers corresponding to the plurality of first image blocks are all greater than the first percentage (e.g., 80%), this generally means that the image blocks are all from power equipment with high radiation power or key parts of the equipment. In this case, the present embodiment adjusts the resolution of all first image blocks to ensure that the details of the high radiation power areas can be fully displayed. The specific resolution adjustment value can be set according to the system requirements and image quality requirements.

[0070] If the radiation power corresponding to the plurality of first image blocks is between the first percentage and the second percentage (for example, 50% to 80%), this indicates that these image blocks are from power equipment or equipment parts with medium radiation power. In this case, the present embodiment can only adjust the resolution of those first image blocks whose radiation power is indeed between these two percentages. This processing method can balance image quality and processing efficiency, allowing the parts of the power equipment with abnormal temperature to be displayed more clearly, so that the staff can more accurately determine the places with abnormal temperature. It not only retains the details of the key areas, but also avoids unnecessary consumption of computing resources.

[0071] For the first image blocks whose radiation power is lower than the second percentage, this embodiment may choose not to adjust the resolution, or may choose to reduce their resolution according to specific circumstances to reduce the pressure of data storage and processing.

[0072] Finally, this embodiment merges the adjusted image blocks according to spatial positions to obtain a second infrared image.

[0073] The specific adjustment algorithm can be customized according to actual needs. In this embodiment, the radiation power can be mapped to a suitable parameter adjustment range through linear mapping. For example, in this embodiment, a resolution adjustment range (such as from 32x32 to 256x256) can be set, and then the resolution to be used for each image block is calculated based on the normalized value of the radiation power.

[0074] In this embodiment, the method of obtaining a second infrared image by dynamically adjusting the resolution corresponding to multiple first image blocks based on radiation power can improve processing efficiency while ensuring image quality. By setting different percentage thresholds, this embodiment can accurately adjust the resolution of the image blocks according to the radiation power differences, thereby ensuring that the details of the high radiation power area are fully displayed. This method not only improves the flexibility and adaptability of the infrared imaging system, but also enables the final second infrared image to more accurately reflect the temperature status of the power equipment, providing strong data support for subsequent fault monitoring, status assessment, etc.

[0075] S104: Obtaining a temperature value of the electric power equipment based on the second infrared image.

[0076] In one embodiment of the present disclosure, obtaining a temperature value of the electric power equipment based on the second infrared image includes:

[0077] Calculate the temperature value corresponding to the second infrared image through a mathematical model;

[0078] A temperature distribution map of the power equipment is generated based on the temperature values ​​and the mapping relationship.

[0079] In this embodiment, after obtaining the second infrared image, it is necessary to further extract the temperature value of the power equipment and generate a temperature distribution map of the power equipment.

[0080] The temperature value corresponding to each pixel in the second infrared image is calculated using a pre-established mathematical model between the infrared image and the temperature. In this embodiment, the gray value of the infrared image is converted into the actual temperature using Planck's law.

[0081] Based on the calculated temperature values, a visually recognizable temperature distribution map is created through color mapping (e.g., blue for cold and red for hot), where different colors represent different temperature ranges, helping to quickly identify overheated areas.

[0082] In this embodiment, the temperature value of the power equipment can be accurately calculated based on the second infrared image, and an intuitive and easy-to-understand temperature distribution diagram can be generated, providing strong data support for fault monitoring and status assessment of the power equipment. This method not only improves the accuracy and reliability of temperature measurement, but also greatly simplifies the data analysis process and improves work efficiency.

[0083] It can be concluded from the above that this embodiment significantly improves the efficiency and accuracy of temperature monitoring of power equipment by combining inspection robots and infrared image processing technology. First, the inspection robot is used to automatically obtain the first infrared image of the power equipment according to the prescribed inspection route, which ensures the real-time and comprehensiveness of the data. Secondly, the first infrared image is refined and divided into multiple first image blocks, which is conducive to subsequent targeted parameter adjustment. The method dynamically adjusts the parameters of the first image block based on the radiation power, generates a clearer and more accurate second infrared image, and can more intuitively reflect the temperature distribution of the power equipment. Finally, the temperature value calculated based on the second infrared image provides reliable data support for fault warning and status assessment of the power equipment. It not only improves the operating safety of the substation, but also reduces the operation and maintenance costs.

[0084] In one embodiment of the present disclosure, adjusting parameters corresponding to the plurality of first image blocks based on the radiation power to obtain the second infrared image further includes:

[0085] Adjusting the resolutions corresponding to the plurality of first image blocks based on the radiation power of the electric power device to obtain a plurality of third image blocks;

[0086] A second infrared image is obtained based on the plurality of third image blocks.

[0087] In this embodiment, another method for improving the quality of infrared images is proposed, which is crucial for improving the accuracy of detail display and temperature analysis of infrared images.

[0088] In this embodiment, the resolution of each first image block is first adjusted dynamically based on the radiation power of the power equipment corresponding to it. Areas with higher radiation power often contain more temperature information and details. Therefore, improving the image resolution of these areas can more clearly display the high temperature areas and potential problem points of the power equipment. For areas with lower radiation power, reducing their resolution can reduce the amount of data processing without significantly affecting the temperature analysis.

[0089] In this way, the present embodiment can obtain a plurality of third image blocks with adjusted resolutions. By recombining these third image blocks according to their original spatial positional relationships, a second infrared image with optimized resolution and richer details can be obtained.

[0090] In this embodiment, the method of adjusting the image block resolution based on the radiation power not only improves the quality of the infrared image, making it more reflective of the actual temperature distribution of the power equipment, but also improves the accuracy of subsequent temperature value calculation and status assessment, providing a more reliable guarantee for the safe operation of the substation.

[0091] In one embodiment of the present disclosure, the substation online monitoring method further includes:

[0092] Generate a temperature curve based on historical temperature information of the power equipment, where the historical temperature information is the temperature information of the power equipment within a set time;

[0093] Determine the operating status of the power equipment based on the temperature curve.

[0094] In this embodiment, it is further covered to generate temperature curves based on the historical temperature information of the power equipment (such as historical information within a week), and predict the next operating status of the power equipment through these temperature curves. This method provides a comprehensive and dynamic monitoring tool for the operation and maintenance personnel of the substation, which helps to more accurately evaluate the health status and potential risks of the power equipment.

[0095] In this embodiment, the temperature information of the power equipment within a set time (such as within a week) is first collected, and this temperature information can come from the historical data source of the infrared image. Then, based on the collected historical temperature information, this embodiment generates a corresponding temperature curve. These temperature curves can show the temperature changes of the power equipment at different time points, as well as the trend and law of temperature changes.

[0096] Once the temperature curves are generated, the present embodiment can determine the operating status of the power equipment based on these curves. For example, if the temperature curve shows that the temperature of the power equipment rises sharply in a short period of time, then this may mean that the equipment is overheating and needs further inspection or repair. In addition, if the temperature curve shows periodic changes, then this may be related to the operating cycle of the equipment or load changes, and the operation and maintenance personnel can optimize the operation strategy of the equipment based on this information.

[0097] In this embodiment, through this method, the operation and maintenance personnel of the substation can more intuitively understand the temperature changes of the power equipment, timely discover and solve potential problems, and ensure the normal operation of the equipment and the safety and stability of the substation. At the same time, this method can also provide data support for the preventive maintenance of the equipment, reduce the equipment failure rate, and improve the reliability and service life of the equipment.

[0098] Corresponding to the substation online monitoring method of the above embodiment, Figure 2This is a structural block diagram of a substation online monitoring device provided by an embodiment of the present disclosure. For ease of description, only the parts related to the embodiment of the present disclosure are shown. Figure 2 The substation online monitoring device 20 includes: an infrared image acquisition module 21, an infrared image processing module 22, an infrared image adjustment module 23, and a temperature display module 24.

[0099] The infrared image acquisition module 21 is used to obtain a first infrared image of the power equipment based on the inspection route specified by the inspection robot;

[0100] Infrared image processing module 22: used to process the first infrared image to obtain a plurality of first image blocks;

[0101] Infrared image adjustment module 23: used for adjusting parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image;

[0102] The temperature display module 24 is used to obtain the temperature value of the electric equipment based on the second infrared image.

[0103] In one embodiment of the present disclosure, the infrared image processing module 22 is further used for:

[0104] Segmenting the first infrared image to obtain a plurality of second image blocks;

[0105] The backgrounds of the plurality of second image blocks are removed to obtain a plurality of first image blocks.

[0106] In one embodiment of the present disclosure, the infrared image processing module 22 is further used for:

[0107] Extracting a plurality of first features corresponding to the plurality of second image blocks;

[0108] Obtaining importance levels corresponding to the plurality of first features according to the plurality of first features;

[0109] The backgrounds of the plurality of second image blocks are removed based on the importance levels corresponding to the plurality of first features.

[0110] In one embodiment of the present disclosure, the infrared image adjustment module 23 is further used to:

[0111] If the radiation powers corresponding to the plurality of first image blocks are greater than the first percentage, adjusting the resolutions of all the first image blocks to obtain a second infrared image;

[0112] If the radiation powers corresponding to the plurality of first image blocks are between the first percentage and the second percentage, adjusting the resolution of the first image blocks corresponding to the radiation powers between the first percentage and the second percentage to obtain a second infrared image;

[0113] The first percentage is greater than the second percentage.

[0114] In one embodiment of the present disclosure, the infrared image adjustment module 23 is further used to:

[0115] Adjusting the resolutions corresponding to the plurality of first image blocks based on the radiation power of the electric power device to obtain a plurality of third image blocks;

[0116] A second infrared image is obtained based on the plurality of third image blocks.

[0117] In one embodiment of the present disclosure, the infrared image adjustment module 23 is further used to:

[0118] Calculate the temperature value corresponding to the second infrared image through a mathematical model;

[0119] A temperature distribution map of the power equipment is generated based on the temperature values ​​and the mapping relationship.

[0120] In one embodiment of the present disclosure, the substation online monitoring device 20 further includes:

[0121] Temperature curve generation module: used to generate a temperature curve based on the historical temperature information of the power equipment, where the historical temperature information is the temperature information of the power equipment within a set time;

[0122] Operation status prediction module: used to judge the operation status of power equipment based on the temperature curve.

[0123] See also Figure 3 , Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 2 The functions of modules 21 to 24 are shown.

[0124] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0125] The input device 302 may include a touch panel, a fingerprint sensor (for collecting fingerprint information of the user and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0126] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0127] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the substation online monitoring method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0128] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0129] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0130] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0132] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0133] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0134] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0135] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A substation online monitoring method, characterized in that: include: Obtaining a first infrared image of the electric power equipment based on an inspection route specified by the inspection robot; Processing the first infrared image to obtain a plurality of first image blocks; Adjusting parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image; obtaining a temperature value of the electric equipment based on the second infrared image; The step of processing the first infrared image to obtain a plurality of first image blocks includes: Segmenting the first infrared image to obtain a plurality of second image blocks; removing backgrounds of the plurality of second image blocks to obtain a plurality of first image blocks; The removing the backgrounds of the plurality of second image blocks comprises: Extracting a plurality of first features corresponding to the plurality of second image blocks; Obtaining importance levels corresponding to the multiple first features according to the multiple first features; The importance level is expressed as: Among them, I represents the importance level, N represents the number of features, Represented as the value of the i-th feature, Expressed as the weight associated with the i-th feature, It is represented as the bias term, and f is represented as the sigmoid function; The backgrounds of the plurality of second image blocks are removed based on the importance levels corresponding to the plurality of first features.

2. The substation online monitoring method according to claim 1, characterized in that: The step of adjusting parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image includes: If the radiation powers corresponding to the plurality of first image blocks are greater than the first percentage, adjusting the resolutions of all the first image blocks to obtain a second infrared image; If the radiation powers corresponding to the plurality of first image blocks are between the first percentage and the second percentage, adjusting the resolution of the first image blocks corresponding to the radiation powers between the first percentage and the second percentage to obtain a second infrared image; The first percentage is greater than the second percentage.

3. The substation online monitoring method according to claim 1, characterized in that: The step of adjusting the parameters corresponding to the plurality of first image blocks based on the radiation power to obtain the second infrared image further includes: Adjusting the resolutions corresponding to the plurality of first image blocks based on the radiation power of the electric power device to obtain a plurality of third image blocks; A second infrared image is obtained based on the plurality of third image blocks.

4. The method for online monitoring of a substation according to claim 3, characterized in that: The step of obtaining the temperature value of the electric power equipment based on the second infrared image comprises: Calculate the temperature value corresponding to the second infrared image through a mathematical model; A temperature distribution diagram of the electric equipment is generated based on the temperature value and the mapping relationship.

5. The method for online monitoring of a substation according to claim 1, characterized in that: Also includes: Generate a temperature curve based on historical temperature information of the power equipment, where the historical temperature information is the temperature information of the power equipment within a set time; Determine the operating status of the power equipment based on the temperature curve.

6. A substation online monitoring device, characterized in that: include: Infrared image acquisition module: used to obtain a first infrared image of the power equipment based on the inspection route specified by the inspection robot; Infrared image processing module: used for processing the first infrared image to obtain a plurality of first image blocks; Infrared image adjustment module: used for adjusting the parameters corresponding to the plurality of first image blocks based on the radiation power to obtain a second infrared image; Temperature display module: used for obtaining the temperature value of the electric equipment based on the second infrared image; The step of processing the first infrared image to obtain a plurality of first image blocks includes: Segmenting the first infrared image to obtain a plurality of second image blocks; removing backgrounds of the plurality of second image blocks to obtain a plurality of first image blocks; The removing the backgrounds of the plurality of second image blocks comprises: Extracting a plurality of first features corresponding to the plurality of second image blocks; Obtaining importance levels corresponding to the multiple first features according to the multiple first features; The importance level is expressed as: Among them, I represents the importance level, N represents the number of features, Represented as the value of the i-th feature, Expressed as the weight associated with the i-th feature, It is represented as the bias term, and f is represented as the sigmoid function; The backgrounds of the plurality of second image blocks are removed based on the importance levels corresponding to the plurality of first features.

7. A substation online monitoring system, comprising an electronic device, wherein the electronic device comprises a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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