Analysis and evaluation method of operation status of intelligent distribution room based on image processing technology

Abstract

The present invention relates to the field of real-time monitoring of intelligent power distribution rooms, and in particular to an operating status analysis and evaluation method for intelligent power distribution rooms based on image processing technology, comprising: collecting real-time monitoring images of the intelligent power distribution room and corresponding real-time monitoring videos to establish target acquisition features of the intelligent power distribution room; establishing operating status image features of the intelligent power distribution room based on image processing technology according to the real-time monitoring images of the intelligent power distribution room; using the operating status image features of the intelligent power distribution room and the target acquisition features for parallel comparison and analysis processing to obtain operating status analysis and evaluation results of the intelligent power distribution room, and by comparing current monitoring data with historical records, identifying any abnormalities or trend changes, providing an important reference basis for analysis, enhancing the accuracy of monitoring, and providing strong data support for future predictions and decisions.

Description

Technical Field

[0001] The present invention relates to the field of real-time monitoring of intelligent power distribution rooms, and in particular to an operating status analysis and evaluation method of an intelligent power distribution room based on image processing technology. Background Art

[0002] The smart distribution room deployed at the end of the power system realizes unattended monitoring and real-time data feedback through advanced automation technology, which significantly improves the operating efficiency and reliability of the power system. However, the system has high requirements for the stability of the operating environment. Any slight environmental fluctuation may affect its performance, and thus affect the stable operation of the entire power system. In the traditional power monitoring system, there is a lack of direct correlation between image or video acquisition and data signal analysis, which leads to limited data processing efficiency and inability to fully utilize the potential of the smart distribution room. Therefore, how to effectively integrate image or video acquisition and data signal analysis has become a key issue that needs to be urgently solved in the power industry. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a method for analyzing and evaluating the operating status of an intelligent distribution room based on image processing technology. By combining the electrical signal data with the video image data for processing, and taking into account the physical characteristics of the intelligent distribution room, when abnormal risks occur, the relative environmental magnetic field changes, causing interference to the collected electrical signals. The electrical signal data and the video images are independently monitored and the monitoring processes are executed separately to ensure rapid parallel analysis and evaluation of the image and signal data.

[0004] To achieve the above object, the present invention provides an intelligent power distribution room operation status analysis and evaluation method based on image processing technology, comprising:

[0005] S1. Collect the real-time monitoring images of the intelligent power distribution room and the corresponding real-time monitoring videos to establish the target collection features of the intelligent power distribution room;

[0006] S2. Establishing the operating status image features of the intelligent power distribution room based on the image processing technology according to the real-time monitoring image of the intelligent power distribution room;

[0007] S3. Use the operating status image features of the intelligent distribution room and the target acquisition features to perform parallel comparison and analysis to obtain the operating status analysis and evaluation results of the intelligent distribution room.

[0008] Preferably, the acquisition of the real-time monitoring image of the intelligent power distribution room and the corresponding real-time monitoring video to establish the target acquisition features of the intelligent power distribution room includes:

[0009] S1-1. Collect real-time monitoring images and real-time monitoring videos of the intelligent power distribution room;

[0010] S1-2, respectively obtaining the image resolution, color features and texture features of the real-time monitoring image as primary features of the real-time monitoring image;

[0011] S1-3, respectively obtaining the video resolution, video bit rate and video frame rate of the real-time monitoring video as primary features of the real-time monitoring video;

[0012] S1-4. Utilize the primary features of the real-time monitoring image and the primary features of the real-time monitoring video to establish target acquisition features of the intelligent power distribution room.

[0013] Furthermore, the target acquisition features of the intelligent power distribution room are established by using the primary features of the real-time monitoring image and the primary features of the real-time monitoring video, including:

[0014] S1-4-1, determine whether the image resolution corresponding to the primary feature of the real-time monitoring image is consistent with the video resolution corresponding to the primary feature of the real-time monitoring video, if so, execute S1-4-2, otherwise, use the image resolution corresponding to the primary feature of the real-time monitoring image to update the resolution of the real-time monitoring video, and then execute S1-4-2;

[0015] S1-4-2, establishing a real-time image color histogram using the primary feature corresponding to the color feature of the real-time monitoring image;

[0016] S1-4-3, using the primary feature corresponding to the texture feature of the real-time monitoring image to establish a real-time image region segmentation feature;

[0017] S1-4-4, using the primary feature of the real-time monitoring video corresponding to the video frame rate to establish a real-time operation status analysis cycle;

[0018] S1-4-5, using the primary feature of the real-time monitoring video corresponding to the video bit rate to establish the real-time acquisition video quality feature;

[0019] S1-4-6. Use the real-time image color histogram, real-time image region segmentation features, real-time operation status analysis cycle and real-time acquisition video quality features as target acquisition features for the intelligent distribution room.

[0020] Furthermore, the image features of the operating status of the intelligent power distribution room are established based on the image processing technology according to the real-time monitoring image of the intelligent power distribution room, including:

[0021] S2-1, using the real-time monitoring image of the intelligent power distribution room to establish a feature calibration two-dimensional coordinate system based on image processing technology;

[0022] S2-2, using the real-time monitoring image of the intelligent power distribution room to obtain feature calibration comprehensive data of the real-time monitoring image according to the feature calibration two-dimensional coordinate system;

[0023] S2-3. Use the feature calibration comprehensive data of the real-time monitoring image as the operating status image feature of the intelligent distribution room.

[0024] Furthermore, using the real-time monitoring image of the intelligent power distribution room to establish a feature calibration two-dimensional coordinate system based on image processing technology includes:

[0025] Using the corresponding image center of the real-time monitoring image of the intelligent power distribution room as the coordinate origin of the real-time monitoring image;

[0026] Establishing a two-dimensional coordinate system of image features according to the coordinate origin of the real-time monitoring image;

[0027] Using the real-time monitoring image of the intelligent power distribution room to perform discrete processing based on image processing technology to obtain an analog discrete electrical signal of the real-time monitoring image;

[0028] Establishing an image signal change periodic coordinate system according to the analog discrete electrical signal of the real-time monitoring image;

[0029] The image feature two-dimensional coordinate system and the image signal change period coordinate system are used as a feature calibration two-dimensional coordinate system.

[0030] Furthermore, the real-time monitoring image of the intelligent power distribution room is used to obtain the feature calibration comprehensive data of the real-time monitoring image according to the feature calibration two-dimensional coordinate system, including:

[0031] S2-2-1. Acquire the corresponding abnormal history real-time monitoring image and risk history real-time monitoring image as the abnormal monitoring template image according to the real-time monitoring image of the intelligent distribution room;

[0032] S2-2-2, determine whether the resolution of the abnormal monitoring template image is consistent with the real-time monitoring image of the intelligent power distribution room, if so, execute S2-2-3, otherwise, perform proportional synchronization processing on the real-time monitoring image of the intelligent power distribution room according to the resolution of the abnormal monitoring template image, and execute S2-2-3;

[0033] S2-2-3, using the abnormal history of the abnormal monitoring template image to monitor the image in real time the abnormal monitoring area corresponding to the abnormal monitoring area, and obtaining the coordinate points of the abnormal monitoring area in the image feature two-dimensional coordinate system of the feature calibration two-dimensional coordinate system;

[0034] S2-2-4, using the coordinate points of the abnormal monitoring area to obtain the area vector of the abnormal monitoring area;

[0035] S2-2-5, using the risk history of the abnormal monitoring template image to monitor the image in real time, the image corresponds to the risk monitoring area, and obtains the coordinate points of the risk monitoring area in the image feature two-dimensional coordinate system according to the feature calibration two-dimensional coordinate system;

[0036] S2-2-6. Obtaining a region vector of the risk monitoring region using the coordinate points of the risk monitoring region;

[0037] S2-2-7, using the risk history real-time monitoring image to obtain the corresponding risk history real-time monitoring time t according to the image signal change period coordinate system of the feature-calibrated two-dimensional coordinate system;

[0038] S2-2-8, using the risk history real-time monitoring time t corresponding to time t+1 and time t+2 as the risk extended monitoring time;

[0039] S2-2-9, using the regional vector of the abnormal monitoring area, the regional vector of the risk monitoring area and the risk extended monitoring time as feature calibration comprehensive data of the real-time monitoring image;

[0040] Among them, the hazard level of the abnormal historical real-time monitoring image is higher than that of the risk historical real-time monitoring image.

[0041] Furthermore, the operation status image features of the intelligent power distribution room are used to perform parallel comparison and analysis processing with the target acquisition features to obtain the analysis and evaluation results of the operation status of the intelligent power distribution room, including:

[0042] S3-1, using the operating status image features of the intelligent power distribution room and the target acquisition features to perform preliminary comparison processing to obtain a potential comparison area of ​​the intelligent power distribution room;

[0043] S3-2. Use the potential comparison area of ​​the intelligent distribution room to perform parallel verification and analysis to obtain the analysis and evaluation results of the operating status of the intelligent distribution room.

[0044] Furthermore, the potential comparison areas of the intelligent power distribution room obtained by performing preliminary comparison processing using the operating status image features of the intelligent power distribution room and the target acquisition features include:

[0045] S3-1-1, obtaining the regional color histogram and regional vector of the abnormal monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the primary regional color histogram and the primary regional vector;

[0046] S3-1-2, obtaining the regional color histogram and regional vector of the risk monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the secondary regional color histogram and secondary regional vector;

[0047] S3-1-3, determine whether the real-time monitoring image and the primary area color histogram correspond to the primary area, if so, execute S3-1-4, otherwise, directly execute S3-1-5;

[0048] S3-1-4, determine whether the area vector corresponding to the first-level area is preliminarily corresponding to the first-level area vector, if so, output the corresponding area as the first-level potential comparison area of ​​the intelligent distribution room, and execute S3-1-5, otherwise, execute S3-1-5;

[0049] S3-1-5, determine whether there is a corresponding secondary area between the real-time monitoring image and the secondary area color histogram, if so, execute S3-1-6, otherwise, the secondary potential comparison area of ​​the intelligent distribution room is empty;

[0050] S3-1-6, determine whether the region vector of the corresponding region and the secondary region vector are preliminarily corresponding, if so, use the corresponding region as the secondary potential comparison region of the intelligent power distribution room, otherwise, the secondary potential comparison region of the intelligent power distribution room is empty;

[0051] S3-1-7, using the first-level potential comparison area and the second-level potential comparison area as the potential comparison area of ​​the intelligent distribution room;

[0052] Among them, the corresponding first-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the first-level area color histogram, the corresponding second-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the second-level area color histogram, and the preliminary correspondence is that the rate of change between the area vector of the corresponding area and the first-level area vector is not greater than 5%.

[0053] Furthermore, the potential comparison area of ​​the intelligent power distribution room is used to perform parallel verification analysis and processing to obtain the intelligent power distribution room operation status analysis and evaluation results including:

[0054] S3-2-1, determine whether there is a first-level potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, perform image signal verification processing according to the first-level potential comparison area to obtain a first-level operation status analysis and evaluation result, and execute S3-2-2, otherwise, execute S3-2-2;

[0055] S3-2-1-1, using the time from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area to establish an abnormal expansion monitoring period;

[0056] S3-2-1-2, obtaining the analog discrete electrical signal of the real-time monitoring image corresponding to the abnormal expansion monitoring period as the abnormal expansion monitoring signal interval;

[0057] S3-2-1-3, determine whether the abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the abnormal expansion monitoring signal interval of the real-time monitoring image of the abnormal history real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, use the first two adjacent moments before the corresponding moment of the first-level potential comparison area to the corresponding moment of the first-level potential comparison area to establish a secondary abnormal expansion monitoring period, and execute S3-2-1-4;

[0058] S3-2-1-4, determine whether the secondary abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the real-time monitoring image abnormal expansion monitoring signal interval of the abnormal historical real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, the first-level operation status analysis and evaluation result is empty;

[0059] The abnormal expansion monitoring period is from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area;

[0060] S3-2-2, determine whether there is a secondary potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, use the secondary potential comparison area to perform extended analysis and evaluation processing to obtain a secondary operation status analysis and evaluation result, and execute S3-2-3, otherwise, output the operation status analysis and evaluation result of the intelligent distribution room as normal, and update the real-time monitoring image and real-time monitoring video of the current intelligent distribution room, and return to S1-1;

[0061] S3-2-3. Use the first-level operation status analysis and evaluation results and the second-level operation status analysis and evaluation results as the intelligent distribution room operation status analysis and evaluation results.

[0062] Further, the extended analysis and evaluation process using the secondary potential comparison area to obtain the secondary operation status analysis and evaluation results includes:

[0063] S3-2-2-1, determine whether the secondary potential comparison area has changed during the corresponding risk extension monitoring time, if so, execute S3-2-2-2, otherwise, the secondary operation status analysis and evaluation result is empty;

[0064] S3-2-2-2, determine whether the real-time monitoring image at the time t+1 corresponding to the risk extended monitoring time and the primary area color histogram correspond to the primary area, if so, update the secondary potential comparison area at the time t+1 as the primary potential comparison area, and return to S3-2-1-1, otherwise, execute S3-2-2-3;

[0065] S3-2-2-3. Determine whether there is a corresponding first-level area between the real-time monitoring image at time t+2 corresponding to the risk extended monitoring time and the first-level area color histogram. If so, update the second-level potential comparison area at time t+2 as the first-level potential comparison area, and return to S3-2-1-1. Otherwise, output the second-level potential comparison area as the second-level operation status analysis and evaluation result.

[0066] Compared with the closest prior art, the present invention has the following beneficial effects:

[0067] In order to ensure the orderliness and continuity of the monitoring process, we first need to build an independent coordinate system to accurately track and analyze data changes, providing a solid foundation for monitoring work. At the same time, in order to further improve the output accuracy of monitoring results, we adopt the method of historical data interception and comparison. By comparing the current monitoring data with historical records, we can identify any abnormalities or trend changes, which provides an important reference for analysis, enhances the accuracy of monitoring, and provides strong data support for future predictions and decisions.

[0068] While ensuring the monitoring accuracy, the joint output of signal data and image data is emphasized. Any problems found in image features or signal cycles will be recorded and reported in a timely manner. This comprehensive output method ensures the timely discovery and resolution of problems, thereby improving the reliability and efficiency of the entire monitoring solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a flow chart of a method for analyzing and evaluating the operating status of an intelligent power distribution room based on image processing technology provided by the present invention. DETAILED DESCRIPTION

[0070] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0071] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Embodiment 1: The present invention provides an intelligent distribution room operation status analysis and evaluation method based on image processing technology, such as Figure 1 As shown, including:

[0073] S1. Collect the real-time monitoring images of the intelligent power distribution room and the corresponding real-time monitoring videos to establish the target collection features of the intelligent power distribution room;

[0074] S2. Establishing the operating status image features of the intelligent power distribution room based on the image processing technology according to the real-time monitoring image of the intelligent power distribution room;

[0075] S3. Use the operating status image features of the intelligent distribution room and the target acquisition features to perform parallel comparison and analysis to obtain the operating status analysis and evaluation results of the intelligent distribution room.

[0076] S1 specifically includes:

[0077] S1-1. Collect real-time monitoring images and real-time monitoring videos of the intelligent power distribution room;

[0078] S1-2, respectively obtaining the image resolution, color features and texture features of the real-time monitoring image as primary features of the real-time monitoring image;

[0079] S1-3, respectively obtaining the video resolution, video bit rate and video frame rate of the real-time monitoring video as primary features of the real-time monitoring video;

[0080] S1-4. Utilize the primary features of the real-time monitoring image and the primary features of the real-time monitoring video to establish target acquisition features of the intelligent power distribution room.

[0081] S1-4 specifically includes:

[0082] S1-4-1, determine whether the image resolution corresponding to the primary feature of the real-time monitoring image is consistent with the video resolution corresponding to the primary feature of the real-time monitoring video, if so, execute S1-4-2, otherwise, use the image resolution corresponding to the primary feature of the real-time monitoring image to update the resolution of the real-time monitoring video, and then execute S1-4-2;

[0083] S1-4-2, establishing a real-time image color histogram using the primary feature corresponding to the color feature of the real-time monitoring image;

[0084] S1-4-3, using the primary feature corresponding to the texture feature of the real-time monitoring image to establish a real-time image region segmentation feature;

[0085] S1-4-4, using the primary feature of the real-time monitoring video corresponding to the video frame rate to establish a real-time operation status analysis cycle;

[0086] S1-4-5, using the primary feature of the real-time monitoring video corresponding to the video bit rate to establish the real-time acquisition video quality feature;

[0087] S1-4-6. Use the real-time image color histogram, real-time image region segmentation features, real-time operation status analysis cycle and real-time acquisition video quality features as target acquisition features for the intelligent distribution room.

[0088] S2 specifically includes:

[0089] S2-1, using the real-time monitoring image of the intelligent power distribution room to establish a feature calibration two-dimensional coordinate system based on image processing technology;

[0090] S2-2, using the real-time monitoring image of the intelligent power distribution room to obtain feature calibration comprehensive data of the real-time monitoring image according to the feature calibration two-dimensional coordinate system;

[0091] S2-3. Use the feature calibration comprehensive data of the real-time monitoring image as the operating status image feature of the intelligent distribution room.

[0092] S2-1 specifically includes:

[0093] S2-1-1, using the image center corresponding to the real-time monitoring image of the intelligent power distribution room as the coordinate origin of the real-time monitoring image;

[0094] S2-1-2, establishing a two-dimensional coordinate system of image features according to the coordinate origin of the real-time monitoring image;

[0095] S2-1-3, using the real-time monitoring image of the intelligent power distribution room to perform discrete processing based on image processing technology to obtain an analog discrete electrical signal of the real-time monitoring image;

[0096] S2-1-4, establishing an image signal change periodic coordinate system according to the analog discrete electrical signal of the real-time monitoring image;

[0097] S2-1-5. Use the image feature two-dimensional coordinate system and the image signal change period coordinate system as the feature calibration two-dimensional coordinate system.

[0098] S2-2 specifically includes:

[0099] S2-2-1. Acquire the corresponding abnormal history real-time monitoring image and risk history real-time monitoring image as the abnormal monitoring template image according to the real-time monitoring image of the intelligent distribution room;

[0100] S2-2-2, determine whether the resolution of the abnormal monitoring template image is consistent with the real-time monitoring image of the intelligent power distribution room, if so, execute S2-2-3, otherwise, perform proportional synchronization processing on the real-time monitoring image of the intelligent power distribution room according to the resolution of the abnormal monitoring template image, and execute S2-2-3;

[0101] S2-2-3, using the abnormal history of the abnormal monitoring template image to monitor the image in real time the abnormal monitoring area corresponding to the abnormal monitoring area, and obtaining the coordinate points of the abnormal monitoring area in the image feature two-dimensional coordinate system of the feature calibration two-dimensional coordinate system;

[0102] S2-2-4, using the coordinate points of the abnormal monitoring area to obtain the area vector of the abnormal monitoring area;

[0103] S2-2-5, using the risk history of the abnormal monitoring template image to monitor the image in real time, the image corresponds to the risk monitoring area, and obtains the coordinate points of the risk monitoring area in the image feature two-dimensional coordinate system according to the feature calibration two-dimensional coordinate system;

[0104] S2-2-6. Obtaining a region vector of the risk monitoring region using the coordinate points of the risk monitoring region;

[0105] S2-2-7, using the risk history real-time monitoring image to obtain the corresponding risk history real-time monitoring time t according to the image signal change period coordinate system of the feature-calibrated two-dimensional coordinate system;

[0106] S2-2-8, using the risk history real-time monitoring time t corresponding to time t+1 and time t+2 as the risk extended monitoring time;

[0107] S2-2-9, using the regional vector of the abnormal monitoring area, the regional vector of the risk monitoring area and the risk extended monitoring time as feature calibration comprehensive data of the real-time monitoring image;

[0108] Among them, the hazard level of the abnormal historical real-time monitoring image is higher than that of the risk historical real-time monitoring image.

[0109] S3 specifically includes:

[0110] S3-1, using the operating status image features of the intelligent power distribution room and the target acquisition features to perform preliminary comparison processing to obtain a potential comparison area of ​​the intelligent power distribution room;

[0111] S3-2. Use the potential comparison area of ​​the intelligent distribution room to perform parallel verification and analysis to obtain the analysis and evaluation results of the operating status of the intelligent distribution room.

[0112] S3-1 specifically includes:

[0113] S3-1-1, obtaining the regional color histogram and regional vector of the abnormal monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the primary regional color histogram and the primary regional vector;

[0114] S3-1-2, obtaining the regional color histogram and regional vector of the risk monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the secondary regional color histogram and secondary regional vector;

[0115] S3-1-3, determine whether the real-time monitoring image and the primary area color histogram correspond to the primary area, if so, execute S3-1-4, otherwise, directly execute S3-1-5;

[0116] S3-1-4, determine whether the area vector corresponding to the first-level area is preliminarily corresponding to the first-level area vector, if so, output the corresponding area as the first-level potential comparison area of ​​the intelligent distribution room, and execute S3-1-5, otherwise, execute S3-1-5;

[0117] S3-1-5, determine whether there is a corresponding secondary area between the real-time monitoring image and the secondary area color histogram, if so, execute S3-1-6, otherwise, the secondary potential comparison area of ​​the intelligent distribution room is empty;

[0118] S3-1-6, determine whether the region vector of the corresponding region and the secondary region vector are preliminarily corresponding, if so, use the corresponding region as the secondary potential comparison region of the intelligent power distribution room, otherwise, the secondary potential comparison region of the intelligent power distribution room is empty;

[0119] S3-1-7, using the first-level potential comparison area and the second-level potential comparison area as the potential comparison area of ​​the intelligent distribution room;

[0120] Among them, the corresponding first-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the first-level area color histogram, the corresponding second-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the second-level area color histogram, and the preliminary correspondence is that the rate of change between the area vector of the corresponding area and the first-level area vector is not greater than 5%.

[0121] S3-2 specifically includes:

[0122] S3-2-1, determine whether there is a first-level potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, perform image signal verification processing according to the first-level potential comparison area to obtain a first-level operation status analysis and evaluation result, and execute S3-2-2, otherwise, execute S3-2-2;

[0123] S3-2-2, determine whether there is a secondary potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, use the secondary potential comparison area to perform extended analysis and evaluation processing to obtain a secondary operation status analysis and evaluation result, and execute S3-2-3, otherwise, output the operation status analysis and evaluation result of the intelligent distribution room as normal, and update the real-time monitoring image and real-time monitoring video of the current intelligent distribution room, and return to S1-1;

[0124] S3-2-3. Use the first-level operation status analysis and evaluation results and the second-level operation status analysis and evaluation results as the intelligent distribution room operation status analysis and evaluation results.

[0125] S3-2-1 specifically includes:

[0126] S3-2-1-1, using the time from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area to establish an abnormal expansion monitoring period;

[0127] S3-2-1-2, obtaining the analog discrete electrical signal of the real-time monitoring image corresponding to the abnormal expansion monitoring period as the abnormal expansion monitoring signal interval;

[0128] S3-2-1-3, determine whether the abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the abnormal expansion monitoring signal interval of the real-time monitoring image of the abnormal history real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, use the first two adjacent moments before the corresponding moment of the first-level potential comparison area to the corresponding moment of the first-level potential comparison area to establish a secondary abnormal expansion monitoring period, and execute S3-2-1-4;

[0129] S3-2-1-4, determine whether the secondary abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the real-time monitoring image abnormal expansion monitoring signal interval of the abnormal historical real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, the first-level operation status analysis and evaluation result is empty;

[0130] The abnormal expansion monitoring period is from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area.

[0131] S3-2-2 specifically includes:

[0132] S3-2-2-1, determine whether the secondary potential comparison area has changed during the corresponding risk extension monitoring time, if so, execute S3-2-2-2, otherwise, the secondary operation status analysis and evaluation result is empty;

[0133] S3-2-2-2, determine whether the real-time monitoring image at the time t+1 corresponding to the risk extended monitoring time and the primary area color histogram correspond to the primary area, if so, update the secondary potential comparison area at the time t+1 as the primary potential comparison area, and return to S3-2-1-1, otherwise, execute S3-2-2-3;

[0134] S3-2-2-3. Determine whether there is a corresponding first-level area between the real-time monitoring image at time t+2 corresponding to the risk extended monitoring time and the first-level area color histogram. If so, update the second-level potential comparison area at time t+2 as the first-level potential comparison area, and return to S3-2-1-1. Otherwise, output the second-level potential comparison area as the second-level operation status analysis and evaluation result.

[0135] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0136] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0137] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0138] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0139] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent distribution room operation status analysis and evaluation method based on image processing technology is characterized in that: include: S1. Collect the real-time monitoring images of the intelligent power distribution room and the corresponding real-time monitoring videos to establish the target collection features of the intelligent power distribution room; S1-1. Collect real-time monitoring images and real-time monitoring videos of the intelligent power distribution room; S1-2, respectively obtaining the image resolution, color features and texture features of the real-time monitoring image as primary features of the real-time monitoring image; S1-3, respectively obtaining the video resolution, video bit rate and video frame rate of the real-time monitoring video as primary features of the real-time monitoring video; S1-4. Establish target acquisition features of the intelligent power distribution room by using the primary features of the real-time monitoring image and the primary features of the real-time monitoring video; S2. Establishing the operating status image features of the intelligent power distribution room based on the image processing technology according to the real-time monitoring image of the intelligent power distribution room; S2-1, using the real-time monitoring image of the intelligent power distribution room to establish a feature calibration two-dimensional coordinate system based on image processing technology; S2-2, using the real-time monitoring image of the intelligent power distribution room to obtain feature calibration comprehensive data of the real-time monitoring image according to the feature calibration two-dimensional coordinate system; S2-3, using the feature calibration comprehensive data of the real-time monitoring image as the operating status image feature of the intelligent distribution room S3, using the operating status image features of the intelligent power distribution room and the target acquisition features to perform parallel comparison and analysis to obtain the operating status analysis and evaluation results of the intelligent power distribution room; S3-1, using the operating status image features of the intelligent power distribution room and the target acquisition features to perform preliminary comparison processing to obtain a potential comparison area of ​​the intelligent power distribution room; S3-2. Use the potential comparison area of ​​the intelligent distribution room to perform parallel verification and analysis to obtain the analysis and evaluation results of the operating status of the intelligent distribution room.

2. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 1, characterized in that: The target acquisition features of the intelligent power distribution room are established by using the primary features of the real-time monitoring image and the primary features of the real-time monitoring video, including: S1-4-1, determine whether the image resolution corresponding to the primary feature of the real-time monitoring image is consistent with the video resolution corresponding to the primary feature of the real-time monitoring video, if so, execute S1-4-2, otherwise, use the image resolution corresponding to the primary feature of the real-time monitoring image to update the resolution of the real-time monitoring video, and then execute S1-4-2; S1-4-2, establishing a real-time image color histogram using the primary feature corresponding to the color feature of the real-time monitoring image; S1-4-3, using the primary feature corresponding to the texture feature of the real-time monitoring image to establish a real-time image region segmentation feature; S1-4-4, using the primary feature of the real-time monitoring video corresponding to the video frame rate to establish a real-time operation status analysis cycle; S1-4-5, using the primary feature of the real-time monitoring video corresponding to the video bit rate to establish the real-time acquisition video quality feature; S1-4-6. Use the real-time image color histogram, real-time image region segmentation features, real-time operation status analysis cycle and real-time acquisition video quality features as target acquisition features for the intelligent distribution room.

3. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 2, characterized in that: Using the real-time monitoring image of the intelligent power distribution room to establish a feature calibration two-dimensional coordinate system based on image processing technology includes: Using the corresponding image center of the real-time monitoring image of the intelligent power distribution room as the coordinate origin of the real-time monitoring image; Establishing a two-dimensional coordinate system of image features according to the coordinate origin of the real-time monitoring image; Using the real-time monitoring image of the intelligent power distribution room to perform discrete processing based on image processing technology to obtain an analog discrete electrical signal of the real-time monitoring image; Establishing an image signal change periodic coordinate system according to the analog discrete electrical signal of the real-time monitoring image; The image feature two-dimensional coordinate system and the image signal change period coordinate system are used as a feature calibration two-dimensional coordinate system.

4. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 3 is characterized in that: Using the real-time monitoring image of the intelligent power distribution room to obtain the feature calibration comprehensive data of the real-time monitoring image according to the feature calibration two-dimensional coordinate system includes: S2-2-1. Acquire the corresponding abnormal history real-time monitoring image and risk history real-time monitoring image as the abnormal monitoring template image according to the real-time monitoring image of the intelligent distribution room; S2-2-2, determine whether the resolution of the abnormal monitoring template image is consistent with the real-time monitoring image of the intelligent power distribution room, if so, execute S2-2-3, otherwise, perform proportional synchronization processing on the real-time monitoring image of the intelligent power distribution room according to the resolution of the abnormal monitoring template image, and execute S2-2-3; S2-2-3, using the abnormal history of the abnormal monitoring template image to monitor the image in real time the abnormal monitoring area corresponding to the abnormal monitoring area, and obtaining the coordinate points of the abnormal monitoring area in the image feature two-dimensional coordinate system of the feature calibration two-dimensional coordinate system; S2-2-4, using the coordinate points of the abnormal monitoring area to obtain the area vector of the abnormal monitoring area; S2-2-5, using the risk history of the abnormal monitoring template image to monitor the image in real time, the image corresponds to the risk monitoring area, and obtains the coordinate points of the risk monitoring area in the image feature two-dimensional coordinate system according to the feature calibration two-dimensional coordinate system; S2-2-6. Obtaining a region vector of the risk monitoring region using the coordinate points of the risk monitoring region; S2-2-7, using the risk history real-time monitoring image to obtain the corresponding risk history real-time monitoring time t according to the image signal change period coordinate system of the feature-calibrated two-dimensional coordinate system; S2-2-8, using the risk history real-time monitoring time t corresponding to time t+1 and time t+2 as the risk extended monitoring time; S2-2-9, using the regional vector of the abnormal monitoring area, the regional vector of the risk monitoring area and the risk extended monitoring time as feature calibration comprehensive data of the real-time monitoring image; Among them, the hazard level of the abnormal historical real-time monitoring image is higher than that of the risk historical real-time monitoring image.

5. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 4, characterized in that: The potential comparison areas of the intelligent power distribution room obtained by performing preliminary comparison processing using the operating status image features of the intelligent power distribution room and the target acquisition features include: S3-1-1, obtaining the regional color histogram and regional vector of the abnormal monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the primary regional color histogram and the primary regional vector; S3-1-2, obtaining the regional color histogram and regional vector of the risk monitoring area corresponding to the feature calibration comprehensive data of the real-time monitoring image as the secondary regional color histogram and secondary regional vector; S3-1-3, determine whether the real-time monitoring image and the primary area color histogram correspond to the primary area, if so, execute S3-1-4, otherwise, directly execute S3-1-5; S3-1-4, determine whether the area vector corresponding to the first-level area is preliminarily corresponding to the first-level area vector, if so, output the corresponding area as the first-level potential comparison area of ​​the intelligent distribution room, and execute S3-1-5, otherwise, execute S3-1-5; S3-1-5, determine whether there is a corresponding secondary area between the real-time monitoring image and the secondary area color histogram, if so, execute S3-1-6, otherwise, the secondary potential comparison area of ​​the intelligent distribution room is empty; S3-1-6, determine whether the region vector of the corresponding region and the secondary region vector are preliminarily corresponding, if so, use the corresponding region as the secondary potential comparison region of the intelligent power distribution room, otherwise, the secondary potential comparison region of the intelligent power distribution room is empty; S3-1-7, using the first-level potential comparison area and the second-level potential comparison area as the potential comparison area of ​​the intelligent distribution room; Among them, the corresponding first-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the first-level area color histogram, the corresponding second-level area is an area in the real-time monitoring image where the proportion of each color is the same as that of the second-level area color histogram, and the preliminary correspondence is that the rate of change between the area vector of the corresponding area and the first-level area vector is not greater than 5%.

6. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 5, characterized in that: The potential comparison area of ​​the intelligent power distribution room is used to perform parallel verification analysis and processing to obtain the analysis and evaluation results of the operation status of the intelligent power distribution room, including: S3-2-1, determine whether there is a first-level potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, perform image signal verification processing according to the first-level potential comparison area to obtain a first-level operation status analysis and evaluation result, and execute S3-2-2, otherwise, execute S3-2-2; S3-2-1-1, using the time from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area to establish an abnormal expansion monitoring period; S3-2-1-2, obtaining the analog discrete electrical signal of the real-time monitoring image corresponding to the abnormal expansion monitoring period as the abnormal expansion monitoring signal interval; S3-2-1-3, determine whether the abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the abnormal expansion monitoring signal interval of the real-time monitoring image of the abnormal history real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, use the first two adjacent moments before the corresponding moment of the first-level potential comparison area to the corresponding moment of the first-level potential comparison area to establish a secondary abnormal expansion monitoring period, and execute S3-2-1-4; S3-2-1-4, determine whether the secondary abnormal expansion monitoring signal interval of the real-time monitoring image corresponds to the real-time monitoring image abnormal expansion monitoring signal interval of the abnormal historical real-time monitoring image, if so, output the first-level potential comparison area as the first-level operation status analysis and evaluation result, otherwise, the first-level operation status analysis and evaluation result is empty; The abnormal expansion monitoring period is from the immediately preceding moment to the immediately following moment of the corresponding moment of the first-level potential comparison area; S3-2-2, determine whether there is a secondary potential comparison area in the potential comparison area of ​​the intelligent distribution room, if so, use the secondary potential comparison area to perform extended analysis and evaluation processing to obtain a secondary operation status analysis and evaluation result, and execute S3-2-3, otherwise, output the operation status analysis and evaluation result of the intelligent distribution room as normal, and update the real-time monitoring image and real-time monitoring video of the current intelligent distribution room, and return to S1-1; S3-2-3. Use the first-level operation status analysis and evaluation results and the second-level operation status analysis and evaluation results as the intelligent distribution room operation status analysis and evaluation results.

7. The method for analyzing and evaluating the operation status of an intelligent power distribution room based on image processing technology according to claim 6, characterized in that: The secondary operation status analysis and evaluation results obtained by performing extended analysis and evaluation processing using the secondary potential comparison area include: S3-2-2-1, determine whether the secondary potential comparison area has changed during the corresponding risk extension monitoring time, if so, execute S3-2-2-2, otherwise, the secondary operation status analysis and evaluation result is empty; S3-2-2-2, determine whether the real-time monitoring image at the time t+1 corresponding to the risk extended monitoring time and the primary area color histogram correspond to the primary area, if so, update the secondary potential comparison area at the time t+1 as the primary potential comparison area, and return to S3-2-1-1, otherwise, execute S3-2-2-3; S3-2-2-3. Determine whether there is a corresponding first-level area between the real-time monitoring image at time t+2 corresponding to the risk extended monitoring time and the first-level area color histogram. If so, update the second-level potential comparison area at time t+2 as the first-level potential comparison area, and return to S3-2-1-1. Otherwise, output the second-level potential comparison area as the second-level operation status analysis and evaluation result.

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