Power line safety monitoring system and monitoring method

Abstract

The embodiment of the invention discloses a power line safety monitoring system and method, and the system comprises a remote monitoring center and a camera disposed on an electric pole, and the camera collects a first image of an area between two adjacent electric poles, and transmits the first image to the remote monitoring center. The remote monitoring center classifies the first images based on the distance between two adjacent electric poles and the line voltage level to obtain classification results of the first images, and fuses the first images with the same classification results to obtain a fused image; the target first image with the safety risk abnormity is identified based on the fused image and the preset reference image, the safety risk area of the power line is determined based on the target first image, manual inspection of the power line is not needed, and the safety risk area is determined through comparison of the image and the reference image after the image is collected in real time through a camera. The environment information of the power line can be covered in real time, the soil sampling behavior below the power line can be found in time through image comparison, and the safety of the power line is ensured.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of power line safety, and in particular to a power line safety monitoring system and a monitoring method. Background Art

[0002] As the core network for power transmission and distribution, the safe and stable operation of power lines is directly related to the continuity and stability of power supply.

[0003] In order to ensure the stability and continuity of power supply, there are clear document requirements for the safety monitoring of power lines. For example, it is prohibited to take soil within 10 meters around power line towers and wire foundations to ensure the long-term stable use of power grid support structures (towers and poles). In the existing technology, ultra-long-distance line safety monitoring is carried out through regular inspections. In the ultra-long-distance power transmission scenario, the monitoring area is wide, and manual regular inspections are prone to missed inspections, and soil taking behavior cannot be discovered in time, resulting in obvious defects in power line safety monitoring. Summary of the invention

[0004] The embodiments of the present invention provide a power line safety monitoring system and a monitoring method to solve the problem that manual inspection of power lines is prone to missed inspections and it is difficult to timely discover the existence of earth-taking behavior that leads to safety risks in power lines.

[0005] In a first aspect, an embodiment of the present invention provides a power line safety monitoring system, including a remote monitoring center and a camera arranged on a pole, the camera communicating with the remote monitoring center, the remote monitoring center including an image classification module and an image analysis module;

[0006] The camera is used to collect a first image of the area between two adjacent poles, and send the first image to the remote monitoring center;

[0007] The image classification module is used to classify the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image;

[0008] The image analysis module is used to fuse the first images with the same classification results to obtain a fused image, and identify the target first image with safety risk anomalies based on the fused image and a preset reference image, and determine the safety risk area of ​​the power line based on the target first image.

[0009] Optionally, the image classification module includes:

[0010] The image classification unit is used to determine the first images of the areas with the same line voltage level and the same pole distance as images of the same type.

[0011] Optionally, the image analysis module includes:

[0012] A calibration image determination unit, used to extract calibration images of each first image from first images with the same classification results;

[0013] An image fusion unit, used for fusing the calibration images of the first images to obtain a fused image;

[0014] The safety risk anomaly identification unit is used to determine the safety risk area of ​​the power line based on matching the fused image with a preset reference image.

[0015] Optionally, the calibration image determination unit is specifically used for:

[0016] Determine the safe area preset with the line voltage level in each first image with the same classification result as the standard image area in each first image;

[0017] The area between two adjacent poles is cut out from the standard image area and converted into a grayscale image to obtain a calibration image corresponding to the first image.

[0018] Optionally, the image fusion unit is specifically used for:

[0019] Marking the first images in the order of cable laying directions to obtain a number for each of the first images;

[0020] The calibration images of each of the first images are layered according to the numbers of the first images to obtain a fused image.

[0021] Optionally, the security risk anomaly identification unit is specifically used to:

[0022] Matching the fused image with the images of each layer of the reference image to determine the deviation area of ​​each layer of the image;

[0023] Determining whether the area of ​​the deviation region is greater than a preset area;

[0024] If yes, determining a target calibration image in the fused image, the target calibration image being a calibration image in which the area of ​​the deviation region is larger than a preset area;

[0025] Determine a target first image corresponding to the target calibration image, and send the target first image to a manual monitoring terminal, where the manual monitoring terminal is used to display the target first image and receive a confirmation operation from a monitoring person to generate a confirmation result;

[0026] When the confirmation result is that the target first image has a safety risk, a safety risk area of ​​the power line is determined based on the serial number of the target first image.

[0027] Optionally, the remote monitoring center further includes a risk management and control module, and the risk management and control module includes:

[0028] The risk recording unit is used to count the number of times the same area is marked as a security risk area;

[0029] The key display unit is used to determine an area as a key monitoring area and generate an on-site survey instruction when the number of times an area is marked as a security risk area is greater than a preset number.

[0030] In a second aspect, an embodiment of the present invention provides a power line safety monitoring method, applying the power line safety monitoring system described in any one of the first aspects, including:

[0031] Collecting a first image of an area between two adjacent poles;

[0032] Classifying the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image;

[0033] Fusing the first images with the same classification results to obtain a fused image;

[0034] The fused image and the preset reference image identify a target first image with a security risk anomaly;

[0035] A safety risk area of ​​the power line is determined based on the target first image.

[0036] Optionally, classifying the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image includes:

[0037] The first image of the area with the same line voltage level and the same pole distance is determined as the same type of image

[0038] The power line safety monitoring system of this embodiment includes a camera arranged on an electric pole and a remote monitoring center. The camera collects a first image of the area between two adjacent electric poles and sends it to the remote monitoring center. In the remote monitoring center, an image classification module classifies the first image based on the distance between the two adjacent electric poles and the line voltage level to obtain a classification result of the first image. The image analysis module further fuses the first images with the same classification results to obtain a fused image. The target first image with safety risk anomalies is identified based on the fused image and a preset reference image, and the safety risk area of ​​the power line is determined based on the target first image. There is no need for manual inspection of the power line. After the camera collects the image in real time, the safety risk area is determined by comparing the image with the reference image. The environmental information of the power line can be covered in real time, and the earth-taking behavior under the power line can be discovered in time through image comparison, thereby ensuring the safety of the power line. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of a power line safety monitoring system provided by an embodiment of the present invention;

[0040] Figure 2 This is a schematic diagram of camera monitoring;

[0041] Figure 3 A schematic diagram of a power line safety monitoring system provided by another embodiment of the present invention;

[0042] Figure 4 A schematic diagram for determining a calibration image;

[0043] Figure 5 A schematic diagram of a power line safety monitoring system provided by yet another embodiment of the present invention;

[0044] Figure 6 The present invention provides a flowchart of a method for monitoring power line safety. DETAILED DESCRIPTION

[0045] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0046] Figure 1 A schematic diagram of a power line safety monitoring system provided by an embodiment of the present invention is shown in FIG. Figure 1As shown, the power line safety monitoring system of an embodiment of the present invention includes a camera 1 set on a pole and a remote monitoring center 2, the camera 1 communicates with the remote monitoring center 2, and the remote monitoring center 2 includes an image classification module 201 and an image analysis module 202.

[0047] This embodiment mainly monitors the environment on the ground below the power line to determine whether there are any potential safety hazards. For example, a safety range is usually set for high-voltage power lines, and preset potential safety hazards are prohibited within the set safety range. For example, trees or buildings close to the power line are not allowed within 10 meters below the power line, and soil removal is prohibited within 10 meters around the poles and towers below the power line. Figure 2 As shown, a camera 1 may be arranged on the tower pole, and the camera 1 may collect a first image of the ground area between two adjacent poles, and the first image may be sent to the remote monitoring center 2 through a communication network.

[0048] In the remote monitoring center 2, the image classification module is used to classify the first image based on the distance between two adjacent poles and the line voltage level to obtain the classification result of the first image, the image analysis module fuses the first images with the same classification result to obtain a fused image, and identifies the target first image with safety risk anomalies based on the fused image and the preset reference image, and determines the safety risk area of ​​the power line based on the target first image. The purpose of the classification is to classify the first images of the area with the same line voltage level and the same distance between the two poles into one category for centralized processing. For example, the distance between the poles in the low-voltage transmission line is usually close, and the images of the area with 220V and the distance between the poles is 20 meters can be regarded as one type of image, and the images of the area with 10KV and the distance between the poles is 100 meters can be regarded as another type of image. The fused image may be an image obtained by superimposing layers of the first image of the same type. Similarly, the reference image may be an image obtained by superimposing layers of images in the safe state of each area. In one embodiment, the images of each layer in the first image and the reference image may be compared to determine whether there is a difference. If the difference is greater than a threshold, it is determined that the area corresponding to the first image of the layer has a safety risk area. The first image may be sent for manual review. If it is manually determined through the first image that there are trees, buildings, or other objects close to the line, or if soil excavation is found within the preset range of the poles and towers, it can be determined that the area corresponding to the first image has a safety risk area, and an alarm is issued and an on-site exploration alarm information is issued. There is no need for manual inspection of the power lines. After the camera collects images in real time, the safety risk area is determined by comparing the images with the reference images. The environmental information of the power lines can be covered in real time, and the soil excavation under the power lines can be discovered in time through image comparison, thereby ensuring the safety of the power lines.

[0049] like Figure 3 As shown, in one embodiment, the image classification module 201 includes an image classification unit, and the image analysis module 202 includes a calibration image determination unit, an image fusion unit, and a safety risk anomaly recognition unit, wherein the image classification unit is used to determine the first images of areas with the same line voltage level and the same pole distance as images of the same type, the calibration image determination unit is used to extract calibration images of each first image from the first images with the same classification results, the image fusion unit is used to fuse the calibration images of each first image to obtain a fused image, and the safety risk anomaly recognition unit is used to determine the safety risk area of ​​the power line based on matching the fused image and a preset reference image.

[0050] Specifically, the calibration image determination unit is specifically used to determine the preset safety area of ​​the line voltage level in each first image with the same classification result as the standard image area in each first image, cut out the area between two adjacent poles from the standard image area, and convert it into a grayscale image to obtain a calibration image corresponding to the first image. The image fusion unit is specifically used to mark the first images in the order of cable laying direction, obtain the number of each first image, and layer the calibration images of each first image according to the number of the first image to obtain a fused image. The safety risk anomaly identification unit is specifically used to match the fused image with the images of each layer of the reference image, determine the deviation area of ​​each layer of the image, and judge whether the area of ​​the deviation area is greater than the preset area; if so, determine the target calibration image in the fused image, the target calibration image is a calibration image with an area of ​​the deviation area greater than the preset area, determine the target first image corresponding to the target calibration image, and send the target first image to the manual monitoring terminal. The manual monitoring terminal is used to display the target first image and receive the confirmation operation of the monitoring personnel to generate a confirmation result. When the confirmation result is that the target first image has a safety risk, the safety risk area of ​​the power line is determined based on the number of the target first image.

[0051] For example, Figure 2 As shown, the camera 1 is installed on the pole, and the first images corresponding to the areas with equal line voltage levels and distances between poles can be classified into the same type of images, such as Figure 4 As shown, for each first image of the same type, since the line voltage level is the same, it is only necessary to monitor the ground area within the preset range on the left and right sides of the line. Figure 4 In the first image taken from the camera perspective on the pole adjacent to the pole E, a horizontal dividing line is determined based on the contact point between the pole E and the ground in the first image, and a standard image area B is determined in the first image based on the pole E as the center and the safety area defined by the line voltage level (for example, 10 meters to the left and right). The standard image area B is cut out from the first image, which is the calibration image of the first image. The calibration image is an image of the monitoring area between the two poles.

[0052] For the first images of the same type, the number of the first images can be determined according to the laying direction of the line. In one embodiment, the number of the pole where the camera that captured the first image is located can be used as the number of the first image, and the calibration images corresponding to the first image are layered according to the number to obtain a fused image. Exemplarily, the calibration images can be imported into image processing software (such as Photoshop) in the order of the first image numbers, and the calibration images are layered in the image processing software to obtain the fused image after adjusting the transparency. Similarly, a reference image can be obtained by superimposing the calibration images of various areas in a safe state, and then the fused image is compared with the calibration images of each layer in the reference image to determine the deviation area, and the area of ​​the continuous deviation area is counted. If the area is larger than the preset area, it means that the ground environment between the two poles has changed, such as plants growing taller and approaching the lines, soil taking around the poles and towers, or other objects are piled up. This can determine that there are safety hazards, and the target calibration image of the corresponding layer can be determined. The corresponding target first image is determined through the target calibration image, and the corresponding geographical area is determined through the number of the target first image, such as determining the coordinates of the pole where the camera that collected the target first image is located, thereby determining the safety risk area of ​​the power line.

[0053] In another embodiment, the fused image and the reference image may also be input into a pre-trained security risk area identification model, and the security risk area identification model may output the layer where the calibrated image or the number of the first image where the security risk exists is located, and the first image corresponding to the number may be sent for manual review, and whether there is a security risk area may be determined based on the manual review results.

[0054] like Figure 5 As shown, in one embodiment, the remote monitoring center also includes a risk management module 203 and a reference image update module 204, wherein the risk management module 203 includes a risk recording unit and a key display unit, the risk recording unit is used to count the number of times the same area is marked as a security risk area, and the key display unit is used to determine an area as a key monitoring area and generate an on-site survey instruction when the number of times an area is marked as a security risk area is greater than a preset number.

[0055] The reference image update module 204 is used to replace the reference image with the fused image when no safety risk area is identified through the fused image. For example, when the deviation area is not a continuous regional deviation when the calibration image is compared, it means that the corresponding area when the first image was collected is normal, or when it is manually determined that no safety risk occurs, the fused image obtained by fusing the first image after collection is used as a new reference image to achieve real-time update of the reference image, which can effectively adapt to environmental changes, and calibrate the key areas of concern through risk recording, so as to provide an effective reference method for the safety management of power lines in a human-machine cooperative manner.

[0056] Figure 6 A flowchart of a power line safety monitoring method provided by an embodiment of the present invention. The power line safety monitoring method of the embodiment of the present invention is applicable to monitoring the environment under the power line and on the ground. The method can be executed by a power line safety monitoring system, such as Figure 6 As shown, the power line safety monitoring method of the embodiment of the present invention may specifically include the following steps:

[0057] S601: Capture a first image of an area between two adjacent poles.

[0058] like Figure 2 As shown, a camera 1 may be arranged on the tower pole, and the camera 1 may collect a first image of the ground area between two adjacent poles, and the first image may be sent to the remote monitoring center 2 through a communication network.

[0059] S602: Classify the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image.

[0060] In one embodiment, the first images of the areas with the same line voltage level and the same distance from the poles may be determined as images of the same type.

[0061] S603: Fusing the first images with the same classification results to obtain a fused image.

[0062] In one embodiment, calibration images of various first images may be extracted from first images with the same classification results, and the calibration images of various first images may be fused to obtain a fused image.

[0063] Specifically, the preset safe area of ​​the line voltage level in each first image with the same classification result can be determined as the standard image area in each first image, the area between two adjacent poles can be cut out from the standard image area and converted into a grayscale image to obtain a calibration image corresponding to the first image, the first images are marked in the order of the cable laying direction to obtain the number of each first image, and the calibration images of each first image are superimposed in layers according to the number of the first image to obtain a fused image.

[0064] like Figure 4 As shown, for each first image of the same type, since the line voltage level is the same, it is only necessary to monitor the ground area within the preset range on the left and right sides of the line. Figure 4 In the first image taken from the camera perspective on the pole adjacent to the pole E, a horizontal dividing line is determined based on the contact point between the pole E and the ground in the first image, and a standard image area B is determined in the first image based on the pole E as the center and the safety area defined by the line voltage level (for example, 10 meters to the left and right). The standard image area B is cut out from the first image, which is the calibration image of the first image. The calibration image is an image of the monitoring area between the two poles.

[0065] For the first images of the same type, the number of the first images can be determined according to the laying direction of the line. In one embodiment, the number of the pole where the camera that captured the first image is located can be used as the number of the first image, and the calibration images corresponding to the first image are layered according to the number to obtain a fused image. Exemplarily, the calibration images can be imported into image processing software (such as Photoshop) in the order of the first image numbers, and the calibration images are layered in the image processing software to obtain the fused image after adjusting the transparency.

[0066] S604: Identify a target first image with a security risk anomaly based on the fused image and a preset reference image.

[0067] Specifically, the safety risk area of ​​the power line is determined based on the matching of the fused image and the preset reference image. Optionally, the fused image is matched with the images of each layer of the reference image to determine the deviation area of ​​each layer of the image, and it is judged whether the area of ​​the deviation area is larger than the preset area; if so, a target calibration image in the fused image is determined, the target calibration image is a calibration image in which the area of ​​the deviation area is larger than the preset area, a target first image corresponding to the target calibration image is determined, and the target first image is sent to a manual monitoring terminal, which is used to display the target first image and receive a confirmation operation from the monitoring personnel to generate a confirmation result.

[0068] In another embodiment, the fused image and the reference image may also be input into a pre-trained security risk area identification model, and the security risk area identification model may output the layer where the calibrated image or the number of the first image where the security risk exists is located, and the first image corresponding to the number may be sent for manual review, and whether there is a security risk area may be determined based on the manual review results.

[0069] S605: Determine a safety risk area of ​​the power line based on the target first image.

[0070] Specifically, when the confirmation result is that the target first image has a safety risk, the safety risk area of ​​the power line is determined based on the serial number of the target first image.

[0071] In an optional embodiment, after S605, it also includes: counting the number of times the same area is marked as a security risk area, and when the number of times an area is marked as a security risk area is greater than a preset number, determining it as a key monitoring area and generating an on-site survey instruction.

[0072] In an optional embodiment, after S605, it also includes: when no safety risk area is identified by the fused image, the fused image is used to replace the reference image. For example, when the deviation area is not a continuous regional deviation when the calibration image is compared, it means that the corresponding area when the first image was acquired is normal, or when it is manually determined that no safety risk occurs, the fused image obtained by fusion after acquiring the first image is used as a new reference image to achieve real-time update of the reference image, which can effectively adapt to environmental changes, and calibrate the key areas of concern by risk recording, so as to provide an effective reference method for the safety management of power lines in a human-machine cooperative manner.

[0073] The embodiment of the present invention uses a camera to capture a first image of the area between two adjacent poles, classifies the first image based on the distance between the two adjacent poles and the line voltage level, obtains a classification result of the first image, fuses the first images with the same classification result to obtain a fused image, identifies a target first image with safety risk anomalies based on the fused image and a preset reference image, determines a safety risk area of ​​the power line based on the target first image, and eliminates the need for manual inspection of the power line. After the camera captures the image in real time, the safety risk area is determined by comparing the image with the reference image. The environmental information of the power line can be covered in real time, and soil excavation under the power line can be discovered in time through image comparison, thereby ensuring the safety of the power line.

[0074] Furthermore, the number of times the same area is marked as a security risk area is counted. When the number of times an area is marked as a security risk area is greater than a preset number, it is determined as a key monitoring area and an on-site survey instruction is generated. This allows key areas to be discovered in a timely manner and on-site surveys to be conducted, thereby increasing the probability of discovering security risks in key areas.

[0075] Furthermore, the fusion processing of the first graphics of the same type can improve the efficiency of identifying the risk area.

[0076] Through the above description of the implementation method, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the power line safety monitoring method described in each embodiment of the present invention.

[0077] It is worth noting that in the above-mentioned embodiment of the power line safety monitoring system, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0078] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A power line safety monitoring system, characterized in that: It includes a remote monitoring center and a camera arranged on a pole, the camera communicates with the remote monitoring center, and the remote monitoring center includes an image classification module and an image analysis module; The camera is used to collect a first image of the area between two adjacent poles, and send the first image to the remote monitoring center; The image classification module is used to classify the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image; The image analysis module is used to fuse the first images with the same classification results to obtain a fused image, and identify the target first image with safety risk anomalies based on the fused image and a preset reference image, and determine the safety risk area of ​​the power line based on the target first image.

2. The system according to claim 1, characterized in that The image classification module comprises: The image classification unit is used to determine the first images of the areas with the same line voltage level and the same pole distance as images of the same type.

3. The system according to claim 1, characterized in that The image analysis module comprises: A calibration image determination unit, used to extract calibration images of each first image from first images with the same classification results; An image fusion unit, used for fusing the calibration images of the first images to obtain a fused image; The safety risk anomaly identification unit is used to determine the safety risk area of ​​the power line based on matching the fused image with a preset reference image.

4. The system according to claim 3, characterized in that The calibration image determination unit is specifically used for: Determine the safe area preset with the line voltage level in each first image with the same classification result as the standard image area in each first image; The area between two adjacent poles is cut out from the standard image area and converted into a grayscale image to obtain a calibration image corresponding to the first image.

5. The system according to claim 3, characterized in that The image fusion unit is specifically used for: Marking the first images in the order of cable laying directions to obtain a number for each of the first images; The calibration images of each of the first images are layered according to the numbers of the first images to obtain a fused image.

6. The system according to claim 3, characterized in that The security risk anomaly identification unit is specifically used for: Matching the fused image with the images of each layer of the reference image to determine the deviation area of ​​each layer of the image; Determining whether the area of ​​the deviation region is greater than a preset area; If yes, determining a target calibration image in the fused image, the target calibration image being a calibration image in which the area of ​​the deviation region is larger than a preset area; Determine a target first image corresponding to the target calibration image, and send the target first image to a manual monitoring terminal, where the manual monitoring terminal is used to display the target first image and receive a confirmation operation from a monitoring person to generate a confirmation result; When the confirmation result is that the target first image has a safety risk, a safety risk area of ​​the power line is determined based on the serial number of the target first image.

7. The system according to claim 3, characterized in that The remote monitoring center also includes a risk management module, which includes: The risk recording unit is used to count the number of times the same area is marked as a security risk area; The key display unit is used to determine an area as a key monitoring area and generate an on-site survey instruction when the number of times an area is marked as a security risk area is greater than a preset number.

8. The system according to claim 3, characterized in that The remote monitoring center also includes: The reference image updating module is used to replace the reference image with the fused image when no security risk area is identified through the fused image.

9. A method for monitoring power line safety, characterized in that: The power line safety monitoring system according to any one of claims 1 to 8 comprises: Collecting a first image of an area between two adjacent poles; Classifying the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image; Fusing the first images with the same classification results to obtain a fused image; The fused image and the preset reference image identify a target first image with a security risk anomaly; A safety risk area of ​​the power line is determined based on the target first image.

10. The method according to claim 9, characterized in that Classifying the first image based on the distance between two adjacent poles and the line voltage level to obtain a classification result of the first image includes: The first images of the areas with the same line voltage level and the same distance from the poles are determined as images of the same type.

Images