A security monitoring method based on target image detection

Abstract

The present application relates to the technical field of power system operation and maintenance, and particularly relates to a security monitoring method based on target image detection, obtaining power equipment monitoring image data and target image standard data, receiving target image image data within a preset time period range, performing feature analysis on the target image image data within the preset time period range, establishing a target image environment template, removing object features corresponding to the target image environment template in real-time collected power equipment monitoring images to obtain target equipment images, performing defect detection on the target equipment images to obtain security monitoring analysis results of target image detection, and solving the problem of large analysis result errors caused by large differences between analyzed image features and previous standard images in the existing power equipment defect analysis by the way of determining target power equipment images in images through collected image data noise reduction.

Description

Technical Field

[0001] This invention relates to the field of power system operation and maintenance technology, and in particular to a security monitoring method based on target image detection. Background Technology

[0002] With the development of power technology, power equipment defect detection technology is constantly being updated, among which image processing-based power equipment defect detection methods have received increasing attention. With the gradual maturation of computer vision technology and the continuous improvement of hardware technology, image processing-based power equipment defect detection methods have become a feasible and efficient technical means.

[0003] Existing techniques for detecting defects in power equipment typically involve collecting image data of the power equipment, analyzing the data, or comparing it with previous standard images to obtain analysis results. Based on these results, the presence of defects in the power equipment can be determined. However, in practical applications, changes in the natural environment and object placement at the location of the power equipment, along with the presence of numerous features in the collected images, can lead to significant errors during image analysis, making it difficult to accurately determine the presence of defects. Therefore, a security monitoring method based on target image detection has been developed. Summary of the Invention

[0004] The purpose of this invention is to provide a security monitoring method based on target image detection, so as to solve the problem that when the features of the image being analyzed differ greatly from the previous standard image, the analysis results are often erroneous.

[0005] This invention provides a security monitoring method based on target image detection, comprising:

[0006] Acquire power equipment monitoring image data and target image standard data, wherein the power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data;

[0007] The power equipment monitoring image data is analyzed to obtain the power equipment image data feature analysis results;

[0008] The target image is determined by matching the feature analysis results of the power equipment image data with the standard data of the target image.

[0009] Receive target image data within a preset time period, perform feature analysis on the target image data within the preset time period, and establish a target image environment template;

[0010] The real-time power equipment monitoring image data is compared with the historical power equipment image data. If the comparison results are significantly different, the real-time power equipment monitoring image data is used to extract features to obtain real-time image feature matching results. The real-time image feature matching results are then matched with the target image environment template to obtain target image environment template matching results.

[0011] The object features corresponding to the target image environment template in the real-time acquired power equipment monitoring images are removed to obtain the target equipment image. Defect detection is performed on the target equipment image to obtain the security monitoring analysis results of the target image detection.

[0012] Furthermore, power equipment monitoring image data and target image standard data are acquired. The power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data.

[0013] Image features are extracted from the historical data of the power equipment, and cluster analysis is performed on the image feature analysis results of the historical data of the power equipment to obtain the image feature analysis results of the historical data of the power equipment.

[0014] In the image feature analysis results of the historical data of the power equipment, the image analysis feature category is determined;

[0015] The real-time acquired power equipment monitoring images are processed by extracting features according to the image analysis feature categories, and the real-time acquired power equipment monitoring images are labeled according to the feature extraction results.

[0016] Further, the feature analysis results of the power equipment image data are matched with the target image standard data to determine the target image, including:

[0017] The target standard data includes image feature data of the monitored target power equipment and environmental feature data of the monitored target power equipment;

[0018] The analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment. If the difference in image features is within a preset range, the analysis results of the power equipment image data are matched with the image feature data of the monitored target power equipment.

[0019] If the analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment, and the difference in image features exceeds a preset range, then the corresponding power equipment is matched in the real-time acquired power equipment monitoring image based on the image feature data of the monitored target power equipment, and determined as the target power equipment.

[0020] Further, receiving target image data within a preset time period, performing feature analysis on the target image data within the preset time period, and establishing a target image environment template, including;

[0021] Establish dynamic preset time ranges. The time interval for the first preset time range is 3 seconds, the time interval for the second preset time range is 6 seconds, and the time interval for the third preset time range is 12 seconds.

[0022] The target image data is compared with the target image data collected in the previous time period. If the difference in image data is within the preset range, the third preset time period is started as the image acquisition frequency period.

[0023] After the third preset time period is used as the image acquisition frequency period for a preset number of times, the image acquisition frequency period is switched to the second preset time period range.

[0024] Furthermore, the object features corresponding to the target image environment template in the real-time acquired power equipment monitoring images are removed to obtain the target equipment image. Defect detection is performed on the target equipment image to obtain the security monitoring analysis results of the target image detection, including:

[0025] The real-time acquired power equipment monitoring images are compared with the target image environment template to obtain similar object features and different object features;

[0026] The approximate object features on the real-time acquired power equipment monitoring images are removed, and the real-time acquired power equipment monitoring images are analyzed again to obtain the target equipment image;

[0027] Defect detection is performed on the target device image to obtain the security monitoring analysis results of the target image detection.

[0028] The beneficial effects of this invention are as follows: This invention provides a security monitoring method based on target image detection, which acquires power equipment monitoring image data and target image standard data. The power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data. The method receives target image data within a preset time period, performs feature analysis on the target image data within the preset time period, establishes a target image environment template, removes object features corresponding to the target image environment template from the real-time acquired power equipment monitoring images to obtain target equipment images, performs defect detection on the target equipment images, and obtains security monitoring analysis results based on target image detection. By establishing an environment template, common noise object features are summarized and categorized. The real-time acquired image data is compared with the data in the environment template, achieving the effect of noise reduction of the real-time acquired image data and improving the accuracy of image data analysis results. Attached Figure Description

[0029] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the basic framework of a security monitoring method based on target image detection provided in an embodiment of the present invention. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings.

[0032] Please see Figure 1 In a first aspect, the present invention provides a security monitoring method based on target image detection, comprising:

[0033] In step S101, power equipment monitoring image data and target image standard data are acquired. The power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data.

[0034] In step S102, the monitoring image data of the power equipment is analyzed to obtain the feature analysis results of the power equipment image data;

[0035] In step S103, the feature analysis results of the power equipment image data are matched with the target image standard data to determine the target image;

[0036] In step S104, target image data within a preset time period are received, and feature analysis is performed on the target image data within the preset time period to establish a target image environment template.

[0037] In step S105, the real-time collected power equipment monitoring image data is compared with the historical power equipment image data. If the comparison results are significantly different, the real-time collected power equipment monitoring image data is used to extract features to obtain real-time image feature matching results. The real-time image feature matching results are then matched with the target image environment template to obtain target image environment template matching results.

[0038] In step S106, the object features corresponding to the target image environment template in the real-time acquired power equipment monitoring image are removed to obtain the target equipment image. Defect detection is performed on the target equipment image to obtain the security monitoring analysis result of the target image detection.

[0039] Specifically, the process involves acquiring power equipment monitoring image data and target image standard data. The power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data.

[0040] Image features are extracted from the historical data of the power equipment, and cluster analysis is performed on the image feature analysis results of the historical data of the power equipment to obtain the image feature analysis results of the historical data of the power equipment.

[0041] In the image feature analysis results of the historical data of the power equipment, the image analysis feature category is determined;

[0042] The real-time acquired power equipment monitoring images are processed by extracting features according to the image analysis feature categories, and the real-time acquired power equipment monitoring images are labeled according to the feature extraction results.

[0043] Specifically, the target image is determined by matching the feature analysis results of the power equipment image data with the target image standard data, including:

[0044] The target standard data includes image feature data of the monitored target power equipment and environmental feature data of the monitored target power equipment;

[0045] The analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment. If the difference in image features is within a preset range, the analysis results of the power equipment image data are matched with the image feature data of the monitored target power equipment.

[0046] If the analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment, and the difference in image features exceeds a preset range, then the corresponding power equipment is matched in the real-time acquired power equipment monitoring image based on the image feature data of the monitored target power equipment, and determined as the target power equipment.

[0047] Specifically, receiving target image data within a preset time period, performing feature analysis on the target image data within the preset time period, and establishing a target image environment template, including:

[0048] Establish dynamic preset time ranges. The time interval for the first preset time range is 3 seconds, the time interval for the second preset time range is 6 seconds, and the time interval for the third preset time range is 12 seconds.

[0049] The target image data is compared with the target image data collected in the previous time period. If the difference in image data is within the preset range, the third preset time period is started as the image acquisition frequency period.

[0050] After the third preset time period is used as the image acquisition frequency period for a preset number of times, the image acquisition frequency period is switched to the second preset time period range.

[0051] Specifically, the object features corresponding to the target image environment template in the real-time collected power equipment monitoring images are removed to obtain the target equipment image. Defect detection is performed on the target equipment image to obtain the security monitoring analysis results of the target image detection, including:

[0052] The real-time acquired power equipment monitoring images are compared with the target image environment template to obtain similar object features and different object features;

[0053] The approximate object features on the real-time acquired power equipment monitoring images are removed, and the real-time acquired power equipment monitoring images are analyzed again to obtain the target equipment image;

[0054] Defect detection is performed on the target device image to obtain the security monitoring analysis results of the target image detection.

[0055] This application discloses a security monitoring method based on target image detection. The method acquires power equipment monitoring image data and target image standard data. The power equipment monitoring image data includes real-time acquired power equipment monitoring images and historical power equipment data. The method analyzes the power equipment monitoring image data to obtain power equipment image data feature analysis results. These results are then matched with the target image standard data to determine the target image. The method receives target image data within a preset time period, performs feature analysis on the target image data within this period, and establishes a target image environment template. The method compares the real-time acquired power equipment monitoring image data with historical power equipment image data. If the comparison results show a significant difference, features are extracted from the real-time acquired power equipment monitoring image data to obtain real-time image feature matching results. These results are then matched with the target image environment template to obtain a target image environment template matching result. Finally, object features corresponding to the target image environment template within the real-time acquired power equipment monitoring image are removed to obtain the target equipment image. Defect detection is performed on the target equipment image to obtain the security monitoring analysis results of the target image detection. By denoising the acquired image data and identifying the target power equipment image from the image, the problem of large errors in the analysis results caused by significant differences between the features of the analyzed image and the previous standard image is solved in the existing power equipment defect analysis.

[0056] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention. The above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A security monitoring method based on target image detection, characterized in that, Comprise; Obtain power equipment monitoring image data and target image standard data, the power equipment monitoring image data includes real-time collected power equipment monitoring image and power equipment historical data; Analyze the power equipment monitoring image data to obtain the power equipment image data feature analysis result; Match the power equipment image data feature analysis result with the target image standard data to determine the target image; Receive target image image data within a preset time period, perform feature analysis on the target image image data within the preset time period, and establish a target image environment template; Compare the real-time collected power equipment monitoring image data with the power equipment historical image data, if the comparison result is significantly different, extract the real-time collected power equipment monitoring image data, obtain the real-time image feature matching result, and match the real-time image feature matching result with the target image environment template to obtain the target image environment template matching result; Remove the object features corresponding to the target image environment template in the real-time collected power equipment monitoring image to obtain a target device image, perform defect detection on the target device image, and obtain a security monitoring analysis result of the target image detection; Receive target image image data within a preset time period, perform feature analysis on the target image image data within the preset time period, and establish a target image environment template, comprising; Establish a dynamic preset time period range, the time interval of the first preset time period range is 3 seconds, the time interval of the second preset time period range is 6 seconds, and the time interval of the third preset time period range is 12 seconds; Compare the collected target image data with the target image data collected in the last period, if the image data difference is within the preset range, start the third preset time period as the image collection frequency period; After executing the third preset time period as the image collection frequency period reaches a preset number of times, switch the image collection frequency period to the second preset time period range; Remove the object features corresponding to the target image environment template in the real-time collected power equipment monitoring image to obtain a target device image, perform defect detection on the target device image, and obtain a security monitoring analysis result of the target image detection, comprising; Compare the real-time collected power equipment monitoring image with the target image environment template to obtain approximate object features and difference object features; Remove the approximate object features on the real-time collected power equipment monitoring image, and analyze the real-time collected power equipment monitoring image again to obtain a target device image; Perform defect detection on the target device image to obtain a security monitoring analysis result of the target image detection. 2.The security monitoring method based on target image detection of claim 1, wherein, Obtain power equipment monitoring image data and target image standard data, the power equipment monitoring image data includes real-time collected power equipment monitoring image and power equipment historical data, comprising; Extract image features from the power equipment historical data, perform clustering analysis on the power equipment historical data image feature analysis result, and obtain the power equipment historical data image feature analysis result; In the image feature analysis results of the historical data of the power equipment, the image analysis feature category is determined; The real-time acquired power equipment monitoring images are processed by extracting features according to the image analysis feature categories, and the real-time acquired power equipment monitoring images are labeled according to the feature extraction results. 3.The security monitoring method based on target image detection of claim 1, wherein, The target image is determined by matching the feature analysis results of the power equipment image data with the standard data of the target image, including: The target image standard data includes image feature data of the monitored target power equipment and environmental feature data of the monitored target power equipment. The analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment. If the difference in image features is within a preset range, the analysis results of the power equipment image data are matched with the image feature data of the monitored target power equipment. If the analysis results of the power equipment image data are compared with the environmental feature data of the monitored target power equipment, and the difference in image features exceeds a preset range, then the corresponding power equipment is matched in the real-time acquired power equipment monitoring image based on the image feature data of the monitored target power equipment, and determined as the target power equipment.

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