Intelligent monitoring system for power grid transmission line

Abstract

The application provides a kind of power grid transmission line intelligent monitoring system, comprising: data monitoring module is installed on the tower of the transmission line, realize real-time monitoring to transmission line, and generate monitoring data;First forwarding module is installed on the tower of the transmission line, receives the monitoring data by wired transmission mode;Second forwarding module is used to install at preset position, and receives the monitoring data by wireless transmission mode, after screening to the detection data, it is sent to cloud server;Data processing module is set in the cloud server, after obtaining the monitoring data, the monitoring data is formatted, classified and detected result is judged according to preset template.The application avoids the unstable signal of monitoring data acquisition position by two-stage data transmission, and the data is sent to the server after preliminary screening, which greatly reduces the monitoring data, and can monitor the transmission line in real time.

Description

Technical Field

[0001] This application claims protection for a power grid monitoring technology, and more particularly relates to an intelligent monitoring system for power grid transmission lines. This application also relates to an intelligent monitoring method for power grid transmission lines. Background Technology

[0002] The testing of power transmission circuits is usually carried out using video or images, which are then transmitted to the testing backend for manual identification by staff.

[0003] In existing technologies, power transmission line monitoring generates a massive amount of data that requires manual processing, leading to a large backlog of data. In order to reduce labor costs, it is necessary to set up timed acquisition of monitoring data. This makes it impossible to monitor power transmission lines in a real-time and dynamic manner, which can easily lead to untimely detection and resolution of problems, and ultimately cause accidents. Summary of the Invention

[0004] To address one or more of the problems mentioned in the background section, this application proposes an intelligent monitoring system for power grid transmission lines. This application also relates to an intelligent monitoring method for power grid transmission lines.

[0005] This application provides an intelligent monitoring system for power grid transmission lines, comprising:

[0006] The data monitoring module is installed on the towers of the transmission line to realize real-time monitoring of the transmission line and generate monitoring data;

[0007] The first forwarding module is installed on the tower of the transmission line to receive the monitoring data via wired transmission.

[0008] The second forwarding module is installed at a preset location and receives the monitoring data wirelessly, filters the monitoring data, and sends it to the cloud server.

[0009] The data processing module, located in the cloud server, formats, classifies, and judges the detection results according to a preset template after obtaining the monitoring data.

[0010] Optionally, the data detection module includes a high-definition camera and an infrared camera.

[0011] Optionally, the filtering includes: detecting each frame of the monitoring data and determining the change value of the image pixels in the monitoring data; if the change value is lower than a preset threshold, then extracting one frame of image; otherwise, sending all frames of image.

[0012] Optionally, the preset template includes:

[0013] A preset standard image, and the error range of the standard image.

[0014] Optionally, the preset standard image is the initial data obtained by the data detection module.

[0015] This application also provides a method for intelligent monitoring of power grid transmission lines, including:

[0016] The data monitoring module installed on the towers of the transmission line enables real-time monitoring of the transmission line and generates monitoring data.

[0017] The monitoring data is received via wired transmission through a first relay module installed on the tower of the transmission line.

[0018] The monitoring data is received wirelessly via a second forwarding module installed at a preset location, and the monitoring data is then filtered and sent to a cloud server.

[0019] The cloud server formats, categorizes, and judges the detection results according to a preset template for the monitoring data.

[0020] Optionally, the data detection module includes a high-definition camera and an infrared camera.

[0021] Optionally, the filtering includes: detecting each frame of the monitoring data and determining the change value of the image pixels in the monitoring data; if the change value is lower than a preset threshold, then extracting one frame of image; otherwise, sending all frames of image.

[0022] Optionally, the preset template includes:

[0023] A preset standard image, and the error range of the standard image.

[0024] Optionally, the preset standard image is the initial data obtained by the data detection module.

[0025] The advantages of this application compared to the prior art are:

[0026] To address one or more of the problems mentioned in the background section, this application proposes an intelligent monitoring system for power grid transmission lines. This application also relates to an intelligent monitoring method for power grid transmission lines.

[0027] This application provides an intelligent monitoring system for power grid transmission lines, comprising: a data monitoring module, installed on the towers of the transmission line to achieve real-time monitoring of the transmission line and generate monitoring data; a first forwarding module, installed on the towers of the transmission line to receive the monitoring data via wired transmission; a second forwarding module, installed at a preset location to receive the monitoring data via wireless transmission, filter the monitoring data, and send it to a cloud server; and a data processing module, located in the cloud server, which, after receiving the monitoring data, formats, classifies, and judges the detection results according to a preset template. This application, through two-level data transmission, avoids the instability of the location signal for monitoring data acquisition, and performs preliminary data filtering before sending to the server, significantly reducing the amount of monitoring data while enabling real-time monitoring of the transmission line. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the intelligent monitoring system for power grid transmission lines in this application.

[0029] Figure 2 This is a flowchart of the monitoring data screening process in this application.

[0030] Figure 3 This is a schematic diagram of the intelligent monitoring method for power grid transmission lines in this application. Detailed Implementation

[0031] The following are examples of specific implementation processes provided to illustrate the technical solutions to be protected in this application. However, this application may also be implemented in other ways different from those described herein. Those skilled in the art can implement this application by different technical means under the guidance of the concept of this application. Therefore, this application is not limited to the specific embodiments below.

[0032] This application provides an intelligent monitoring system for power grid transmission lines, comprising: a data monitoring module, installed on the towers of the transmission line to achieve real-time monitoring of the transmission line and generate monitoring data; a first forwarding module, installed on the towers of the transmission line to receive the monitoring data via wired transmission; a second forwarding module, installed at a preset location to receive the monitoring data via wireless transmission, filter the monitoring data, and send it to a cloud server; and a data processing module, located in the cloud server, which, after receiving the monitoring data, formats, classifies, and judges the detection results according to a preset template. This application, through two-level data transmission, avoids the instability of the location signal for monitoring data acquisition, and performs preliminary data filtering before sending to the server, significantly reducing the amount of monitoring data while enabling real-time monitoring of the transmission line.

[0033] Figure 1 This is a schematic diagram of the intelligent monitoring system for power grid transmission lines in this application.

[0034] Please refer to Figure 1 As shown, the data monitoring module 101 is installed on the tower of the transmission line to realize real-time monitoring of the transmission line and generate monitoring data.

[0035] The data monitoring module is used to acquire monitoring data of the transmission line. In this application, the data monitoring module includes a high-definition camera and an infrared camera, and preferably also includes voltage detection and current detection sensors, such as voltage transformers or current transformers.

[0036] The monitoring module is installed on the tower of the transmission line. Preferably, the monitoring module is installed according to the monitoring requirements, at locations where monitoring is needed, and not at locations where monitoring is not needed. The locations requiring monitoring can be those difficult to monitor manually in real time, while the rest are locations where monitoring is not needed. In this application, the locations requiring and not requiring monitoring can be preset according to the monitoring purpose, therefore, this application will not elaborate further.

[0037] The detection module can be set up separately or in combination, including integrating the high-definition camera and the infrared camera into one monitoring head, or setting the high-definition camera and the infrared camera as two separate devices.

[0038] During data acquisition, the high-definition camera and infrared camera operate and acquire independent monitoring data.

[0039] In this application, the high-definition camera and infrared camera can freely rotate their cameras and operate according to a preset path to maximize data acquisition. The acquired monitoring data can be processed according to the preset rules, with each cycle forming a set of data.

[0040] Please refer to Figure 1 As shown, the first forwarding module 102 is installed on the tower of the transmission line to receive the monitoring data via wired transmission.

[0041] During installation, the limitation between the first forwarding module 102 and the data monitoring module 101 is the length of the two sets of data transmission lines. Based on this, the first forwarding module 102 can be installed at a location far from the data monitoring module 101.

[0042] The first forwarding module acquires the monitoring data obtained by the data monitoring module through the data transmission line. Preferably, the monitoring data is image data or video data.

[0043] The first forwarding module has a wireless communication unit that transmits the monitoring data outward and encrypts the monitoring data before doing so.

[0044] Specifically, the first relay module 102 is installed halfway up the tower and connected to the data monitoring module via the data transmission line. The wireless communication unit in the first relay module can be placed as a separate unit outside the first relay module 102 to maximize the arrangement of transmitted signals.

[0045] Please refer to Figure 1 As shown, the second forwarding module 103 is installed at a preset location and receives the monitoring data wirelessly, filters the monitoring data, and sends it to the cloud server.

[0046] The second forwarding module 103 receives the detection data sent out by the first forwarding module 102 and caches the monitoring data.

[0047] The second forwarding module 103 includes a filtering unit for reading and filtering the monitoring data. This filtering unit detects each frame of the monitoring data and determines the change value of image pixels within the monitoring data. If the change value is lower than a preset threshold, one frame of image is extracted; otherwise, all frames of image are sent. Preferably, the preset threshold further includes an allowable error, i.e., the error range between the change value and the preset threshold. The change value is the average value of the pixels in the region.

[0048] Figure 2 This is a flowchart of the monitoring data screening process in this application.

[0049] Please refer to Figure 2 As shown, S201 reads the image pixels in the detection data.

[0050] Specifically, the detection data is cached directly after being received and then read by the filtering unit. Next, each pixel in each frame of the image is read.

[0051] In this application, the high-definition camera or infrared camera is configured with a detection data reading cycle, which is consistent with the operating cycle of the high-definition camera or infrared camera. Based on this, the number of image or video frames in each cycle is fixed. Therefore, this application sets a separate preset threshold group for each image or video frame, and the preset threshold is a pixel parameter value.

[0052] Finally, the value of each pixel in an image or video frame is read.

[0053] S202 performs a regional average calculation on the value of the pixel.

[0054] After reading the pixel value of each pixel, the image or video frame segmentation rules are preset. Different settings can be made according to different needs, which will not be elaborated here. After the video frame segmentation is completed, the pixel values ​​in each segmented region are averaged.

[0055] S203 determines the magnitude of the average pixel value and the preset threshold.

[0056] Specifically, each preset threshold group has multiple preset thresholds depending on the number of segmented regions. The average pixel value is compared with the corresponding preset threshold to obtain a comparison result.

[0057] In this application, the comparison can be performed using the following formula:

[0058]

[0059] Wherein, D is the comparison result, n is the number of pixels in each segmented region, i represents the sequence number of each pixel, P represents the pixel value, C represents the preset threshold, and Y represents the allowed error.

[0060] If the above formula is true, then only one frame of the image will be retrieved according to the preset time interval; otherwise, all images will be retrieved.

[0061] Finally, the retrieved image is sent to a server, preferably a cloud server.

[0062] Please refer to Figure 1 As shown, the data processing module 104 is located in the cloud server. After obtaining the monitoring data, it formats, classifies, and judges the detection results according to a preset template.

[0063] The classification refers to classifying the monitoring data according to a preset data type, and then formatting the acquired data according to the data format supported by the system before inputting it into a preset template.

[0064] The preset template is designed to facilitate manual review. It separates, enlarges, or highlights images or video frames according to preset review criteria, making it easier for staff to review them.

[0065] This application also provides an intelligent monitoring method for power grid transmission lines. Through two-level data transmission, it can avoid the instability of location signals when monitoring data is acquired. At the same time, the data is initially screened before being sent to the server, which greatly reduces the amount of monitoring data and enables real-time monitoring of transmission lines.

[0066] Figure 3 This is a schematic diagram of the intelligent monitoring method for power grid transmission lines in this application.

[0067] Please refer to Figure 3 As shown, S301 uses a data monitoring module installed on the tower of the transmission line to achieve real-time monitoring of the transmission line and generate monitoring data.

[0068] The data monitoring module is used to acquire monitoring data of the transmission line. In this application, the data monitoring module includes a high-definition camera and an infrared camera, and preferably also includes voltage detection and current detection sensors, such as voltage transformers or current transformers.

[0069] The monitoring module is installed on the tower of the transmission line. Preferably, the monitoring module is installed according to the monitoring requirements, at locations where monitoring is needed, and not at locations where monitoring is not needed. The locations requiring monitoring can be those difficult to monitor manually in real time, while the rest are locations where monitoring is not needed. In this application, the locations requiring and not requiring monitoring can be preset according to the monitoring purpose, therefore, this application will not elaborate further.

[0070] The detection module can be set up separately or in combination, including integrating the high-definition camera and the infrared camera into one monitoring head, or setting the high-definition camera and the infrared camera as two separate devices.

[0071] During data acquisition, the high-definition camera and infrared camera operate and acquire independent monitoring data.

[0072] In this application, the high-definition camera and infrared camera can freely rotate their cameras and operate according to a preset path to maximize data acquisition. The acquired monitoring data can be processed according to the preset rules, with each cycle forming a set of data.

[0073] Please refer to Figure 3 As shown, S302 receives the monitoring data via wired transmission through a first forwarding module installed on the tower of the transmission line.

[0074] During installation, the limitation between the first forwarding module 102 and the data monitoring module 101 is the length of the two sets of data transmission lines. Based on this, the first forwarding module 102 can be installed at a location far from the data monitoring module 101.

[0075] The first forwarding module acquires the monitoring data obtained by the data monitoring module through the data transmission line. Preferably, the monitoring data is image data or video data.

[0076] The first forwarding module has a wireless communication unit that transmits the monitoring data outward and encrypts the monitoring data before doing so.

[0077] Specifically, the first relay module 102 is installed halfway up the tower and connected to the data monitoring module via the data transmission line. The wireless communication unit in the first relay module can be placed as a separate unit outside the first relay module 102 to maximize the arrangement of transmitted signals.

[0078] Please refer to Figure 3 As shown, S303 receives the monitoring data wirelessly via a second forwarding module installed at a preset location, filters the monitoring data, and then sends it to the cloud server.

[0079] The second forwarding module 103 includes a filtering unit for reading and filtering the monitoring data. This filtering unit detects each frame of the monitoring data and determines the change value of image pixels within the monitoring data. If the change value is lower than a preset threshold, one frame of image is extracted; otherwise, all frames of image are sent. Preferably, the preset threshold further includes an allowable error, i.e., the error range between the change value and the preset threshold. The change value is the average value of the pixels in the region.

[0080] Please refer to Figure 2 As shown, S201 reads the image pixels in the detection data.

[0081] Specifically, the detection data is cached directly after being received and then read by the filtering unit. Next, each pixel in each frame of the image is read.

[0082] In this application, the high-definition camera or infrared camera is configured with a detection data reading cycle, which is consistent with the operating cycle of the high-definition camera or infrared camera. Based on this, the number of image or video frames in each cycle is fixed. Therefore, this application sets a separate preset threshold group for each image or video frame, and the preset threshold is a pixel parameter value.

[0083] Finally, the value of each pixel in an image or video frame is read.

[0084] S202 performs a regional average calculation on the value of the pixel.

[0085] After reading the pixel value of each pixel, the image or video frame segmentation rules are preset. Different settings can be made according to different needs, which will not be elaborated here. After the video frame segmentation is completed, the pixel values ​​in each segmented region are averaged.

[0086] S203 determines the magnitude of the average pixel value and the preset threshold.

[0087] Specifically, each preset threshold group has multiple preset thresholds depending on the number of segmented regions. The average pixel value is compared with the corresponding preset threshold to obtain a comparison result.

[0088] In this application, the comparison can be performed using the following formula:

[0089]

[0090] Wherein, D is the comparison result, n is the number of pixels in each segmented region, i represents the sequence number of each pixel, P represents the pixel value, C represents the preset threshold, and Y represents the allowed error.

[0091] If the above formula is true, then only one frame of the image will be retrieved according to the preset time interval; otherwise, all images will be retrieved.

[0092] Finally, the retrieved image is sent to a server, preferably a cloud server.

[0093] Please refer to Figure 3 As shown in S304, the cloud server formats, categorizes, and judges the detection results according to a preset template for the monitoring data.

[0094] The classification refers to classifying the monitoring data according to a preset data type, and then formatting the acquired data according to the data format supported by the system before inputting it into a preset template.

[0095] The preset template is designed to facilitate manual review. It separates, enlarges, or highlights images or video frames according to preset review criteria, making it easier for staff to review them.

Claims

1. An intelligent monitoring system for power grid transmission lines, characterized in that, include: The data monitoring module is installed on the towers of the transmission line to realize real-time monitoring of the transmission line and generate monitoring data; The first forwarding module is installed on the tower of the transmission line to receive the monitoring data via wired transmission. The second forwarding module is installed at a preset location and receives the monitoring data wirelessly, filters the monitoring data, and sends it to the cloud server. The second forwarding module is equipped with a filtering unit, which is used to read and filter the monitoring data, detect each frame of the monitoring data, and determine the change value of the image pixels in the monitoring data. If the change value is lower than a preset threshold, one frame of image is extracted; otherwise, all frames of image are sent. The preset threshold also includes an allowed error, that is, the error range of the difference between the change value and the preset threshold, wherein the change value is the average value of the pixels in the region. Monitoring data screening includes: S201 reads the image pixels in the monitoring data; the monitoring data is directly cached after being received and read by the filtering unit, and then each pixel in each frame of the image is read; a separate preset threshold group is set for each image or video frame, and the preset threshold is a pixel parameter value; S202 performs a regional average calculation on the value of the pixel; after reading the pixel value of each pixel, according to the preset image or video frame segmentation rules, different settings are made according to different needs to complete the segmentation of the video frame, and the pixel values ​​in each segmented region are averaged. S203 compares the average pixel value with a preset threshold. Each preset threshold group has multiple preset thresholds depending on the number of segmented regions. The average pixel value is compared with the corresponding preset threshold to obtain the comparison result. The comparison is performed using the following formula: Where D is the comparison result, n is the number of pixels in each segmented region, i represents the sequence number of each pixel, P represents the pixel value, C represents the preset threshold, and Y represents the allowed error. If the above formula is true, the image will be retrieved in only one frame according to the preset time interval; otherwise, all images will be retrieved. Finally, the retrieved images will be sent to the cloud server. The data processing module, located in the cloud server, formats, classifies, and judges the detection results according to a preset template after obtaining the monitoring data.

2. The intelligent monitoring system for power grid transmission lines according to claim 1, characterized in that, The data monitoring module includes a high-definition camera and an infrared camera.

3. The intelligent monitoring system for power grid transmission lines according to claim 1, characterized in that, The preset template includes: A preset standard image, and the error range of the standard image.

4. The intelligent monitoring system for power grid transmission lines according to claim 3, characterized in that, The preset standard image is the initial data acquired by the data monitoring module.

5. A method for intelligent monitoring of power grid transmission lines, characterized in that, include: The data monitoring module installed on the towers of the transmission line enables real-time monitoring of the transmission line and generates monitoring data. The monitoring data is received via wired transmission through a first relay module installed on the tower of the transmission line. The monitoring data is received wirelessly via a second forwarding module installed at a preset location, and then filtered and sent to a cloud server. The second forwarding module is equipped with a filtering unit, which is used to read and filter the monitoring data, detect each frame of the monitoring data, and determine the change value of the image pixels in the monitoring data. If the change value is lower than a preset threshold, one frame of image is extracted; otherwise, all frames of image are sent. The preset threshold also includes an allowed error, that is, the error range of the difference between the change value and the preset threshold, wherein the change value is the average value of the pixels in the region. Monitoring data screening includes: S201 reads the image pixels in the monitoring data; the monitoring data is directly cached after being received and read by the filtering unit, and then each pixel in each frame of the image is read; a separate preset threshold group is set for each image or video frame, and the preset threshold is a pixel parameter value; S202 performs a regional average calculation on the value of the pixel; after reading the pixel value of each pixel, according to the preset image or video frame segmentation rules, different settings are made according to different needs to complete the segmentation of the video frame, and the pixel values ​​in each segmented region are averaged. S203 compares the average pixel value with a preset threshold. Each preset threshold group has multiple preset thresholds depending on the number of segmented regions. The average pixel value is compared with the corresponding preset threshold to obtain the comparison result. The comparison is performed using the following formula: Where D is the comparison result, n is the number of pixels in each segmented region, i represents the sequence number of each pixel, P represents the pixel value, C represents the preset threshold, and Y represents the allowed error. If the above formula is true, the image will be retrieved in only one frame according to the preset time interval; otherwise, all images will be retrieved. Finally, the retrieved images will be sent to the cloud server. The cloud server formats, categorizes, and judges the detection results according to a preset template for the monitoring data.

6. The intelligent monitoring method for power grid transmission lines according to claim 5, characterized in that, The data monitoring module includes a high-definition camera and an infrared camera.

7. The intelligent monitoring method for power grid transmission lines according to claim 5, characterized in that, The preset template includes: A preset standard image, and the error range of the standard image.

8. The intelligent monitoring method for power grid transmission lines according to claim 7, characterized in that, The preset standard image is the initial data acquired by the data monitoring module.

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