Fire monitoring method and system for power transmission line

Abstract

The invention provides a fire monitoring method for a power transmission line. The method comprises the following steps: step 1, acquiring a satellite image of a target power transmission line area; 2, preprocessing the satellite image of the target power transmission line area; 3, performing data analysis on the preprocessed satellite image of the target power transmission line area; and step 4, obtaining the temperature of the target power transmission line area in the satellite image of the target power transmission line area after data analysis, and obtaining a fire monitoring result of the target power transmission line area based on the temperature of the target power transmission line area in the satellite image of the target power transmission line area after data analysis. According to the method, the fire point position of the target power transmission line area is calculated in detail, when the fire point position is found, the related personnel are responded in time, and the fire spreading speed is calculated in time, so that the trend of the fire can be controlled in time, the economic loss is reduced, and the safety of the power transmission line is better guaranteed.

Description

Technical Field

[0001] This invention belongs to the field of fire monitoring technology, and more specifically, relates to a fire monitoring method and system for power transmission lines. Background Technology

[0002] With the continuous deepening of the State Grid's intelligent development and the large-scale construction of ultra-high voltage transmission networks, the large-scale, high-efficiency power grid, characterized by large-scale interconnection and large capacity, experiences rapid and widespread impacts from disasters, and exhibits a trend towards socialization. Forest fires are one of the main factors causing power grid disasters.

[0003] Existing technologies rely solely on two parameters—wind direction and humidity—to predict and calculate changes in forest fire behavior and the trend of forest fire spread. They do not consider the geographical features and vegetation around the fire point and power transmission lines, nor do they consider the potential impact of the spread of fires over long distances on power transmission lines. Therefore, they cannot provide accurate forecasts and often produce false alarms. Summary of the Invention

[0004] The purpose of this invention is to provide a fire monitoring method and system for power transmission lines, aiming to solve the technical problem of low accuracy in predicting fires in power transmission line areas in the prior art.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is: to provide a fire monitoring method for power transmission lines, comprising:

[0006] Step 1: Acquire satellite images of the target transmission line area;

[0007] Step 2: Preprocess the satellite image of the target transmission line area to obtain the preprocessed satellite image of the target transmission line area;

[0008] Step 3: Perform data analysis on the preprocessed satellite images of the target transmission line area to obtain the analyzed satellite images of the target transmission line area;

[0009] Step 4: Obtain the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis, and obtain the fire monitoring results of the target transmission line area based on the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis.

[0010] Preferably, step 2: preprocessing the satellite image of the target transmission line area to obtain a preprocessed satellite image of the target transmission line area, including:

[0011] Step 2.1: Perform grayscale correction on the satellite image of the target transmission line area to obtain a grayscale-corrected satellite image of the target transmission line area;

[0012] Step 2.2: Denoise the satellite image of the target transmission line area after grayscale correction to obtain the preprocessed satellite image of the target transmission line area.

[0013] Preferably, step 2.1 includes:

[0014] Step 2.1.1: Obtain the gray levels and the number of pixels at each gray level from the satellite images of the target transmission line area;

[0015] Step 2.1.2: Calculate the histogram of the satellite image of the target transmission line area based on the gray levels and the number of pixels at each gray level;

[0016] Step 2.1.3: Calculate the cumulative distribution function based on the histogram of satellite imagery of the target transmission line area;

[0017] Step 2.1.4: Map the histogram of the satellite image of the target transmission line area, and calculate the gray levels and the number of pixels at each gray level of the mapped satellite image of the target transmission line area based on the cumulative distribution function.

[0018] Step 2.1.5: Based on the gray level of the histogram of the target transmission line area satellite image after mapping, perform gray level correction on the target transmission line area satellite image to obtain the gray level corrected satellite image of the target transmission line area.

[0019] The formula for calculating the histogram of satellite imagery of the target transmission line area is as follows:

[0020]

[0021] Among them, P r (r j ) represents the histogram distribution of satellite images of the target transmission line area, where n is the number of lines. j denoted as the number of pixels at each gray level in the satellite image of the target transmission line area, where n is the number of pixels in the satellite image of the target transmission line area.

[0022] The formula for calculating the cumulative distribution function is:

[0023]

[0024] c(r) is the cumulative distribution function, k is the number of gray levels in the satellite image of the target transmission line area, and P r (r j ( ) is the histogram distribution of satellite images of the target transmission line area;

[0025] The formula for calculating the histogram of the satellite image of the mapped target transmission line area is as follows:

[0026]

[0027] Among them, P g (g i ) represents the histogram distribution of the satellite image of the mapped target transmission line area, where n is the number of lines. i denoted as the number of pixels at each gray level of the histogram of the target transmission line area after mapping, and n is the number of pixels in the satellite image of the target transmission line area.

[0028] Preferably, step 2.2 includes:

[0029] Step 2.2.1: Obtain the pixel values ​​of all pixels in the satellite image of the target transmission line area after grayscale correction;

[0030] Step 2.2.2: Taking any pixel as the center pixel, calculate the median pixel value of the 8 pixels surrounding the center pixel;

[0031] Step 2.2.3: Replace the pixel value of the center pixel with the median pixel value of the 8 pixels surrounding the center pixel;

[0032] Step 2.2.4: Repeat steps 2.2.2-2.2.3 until all pixels have been replaced, and obtain a satellite image of the target transmission line area with the pixel values ​​replaced.

[0033] Step 2.2.5: Obtain the denoised satellite image of the target transmission line area based on the satellite image of the target transmission line area after pixel value replacement.

[0034] Preferably, step 3: performing data analysis on the preprocessed satellite image of the target transmission line area to obtain a satellite image of the target transmission line area after data analysis, including:

[0035] Step 3.1: Divide the preprocessed satellite image of the target transmission line area into grids to obtain a preset number of grid regions;

[0036] Step 3.2: Calculate the correlation degree for a preset number of grid areas to obtain a satellite image of the target transmission line area after the correlation degree calculation;

[0037] Step 3.3: Perform hierarchical clustering on the satellite images of the target transmission line area after correlation calculation to obtain the satellite images of the target transmission line area after data analysis;

[0038] The formula for calculating the correlation degree is:

[0039]

[0040] Among them, I NDV ch1 represents the correlation coefficient between power transmission lines and vegetation in each grid area, ch2 represents the reflectance of vegetation to visible light in solar radiation during the day, and ch2 represents the reflectance of vegetation to near-infrared light in solar radiation during the day.

[0041] Preferably, step 3.2: performing hierarchical clustering on the satellite images of the target transmission line area after correlation calculation to obtain satellite images of the target transmission line area after data analysis, including:

[0042] Step 3.2.1: Obtain the similarity of each grid in the satellite image of the target transmission line area after the correlation calculation based on the grid region similarity calculation formula;

[0043] Step 3.2.2: Merge grids with similarity greater than a preset threshold to obtain satellite images of the target transmission line area after data analysis.

[0044] The formula for calculating the similarity between the grid cells is:

[0045]

[0046] Where d(r) i ,r j Let r be the distance between the i-th and j-th grid regions in the satellite image of the target transmission line area. i ′ represents the center point of the i-th grid region in the satellite image of the target transmission line area, r j ' is the center point of the j-th grid region in the satellite image of the target transmission line area, sim(r i ,r j ) represents the similarity between the i-th grid region and the j-th grid region in the satellite image of the target transmission line area.

[0047] Preferably, step 4 includes:

[0048] Step 4.1: Based on infrared thermometry, obtain the temperature of each grid and the temperature difference between each grid in the satellite image of the target transmission line area after data analysis;

[0049] Step 4.2: If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds the preset temperature value, then perform satellite image binarization connected component monitoring to obtain the satellite image of the target transmission line area after satellite image binarization connected component monitoring;

[0050] Step 4.3: Based on the satellite image of the target transmission line area after monitoring the binarized connected components of the satellite image, obtain the coordinates of the ignition point of the target transmission line area, and calculate the fire spread rate based on the coordinates of the ignition point of the target transmission line area.

[0051] Preferably, step 4.2 includes:

[0052] If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds a preset temperature value, then the pixel value of each grid in the satellite image of the target transmission line area after data analysis is scanned, and pixels with pixel values ​​greater than a second preset threshold are grouped into the same set.

[0053] Preferably, step 4.3 includes:

[0054] The coordinates of the ignition point are obtained by calculating the weighted average of the coordinates of each edge of the grid in the satellite image of the target power transmission line area where the temperature difference exceeds the preset temperature value.

[0055] The fire spread rate is obtained based on the coordinates of the ignition point;

[0056] The formula for calculating the fire spread rate is:

[0057] V F =Kp*Ks*14.1785e (0.1547Vw)

[0058] Among them, V F Kp is the fire spread rate, Ks is the correction factor for the vegetation type at the ignition point, Vw is the slope and terrain correction factor at the ignition point, and Vw is the wind speed at the ignition point.

[0059] A fire monitoring system for power transmission lines, comprising:

[0060] The satellite image acquisition module is used to acquire satellite images of the target transmission line area;

[0061] The image preprocessing module is used to preprocess satellite images of the target power transmission line area;

[0062] The data analysis module is used to perform data analysis on the preprocessed satellite images of the target transmission line area;

[0063] The fire monitoring result acquisition module is used to acquire the temperature of the target transmission line area and the fire monitoring results of the target transmission line area from satellite images of the target transmission line area after data analysis.

[0064] The beneficial effects of the fire monitoring method and system for power transmission lines provided by this invention are as follows: Compared with the prior art, this invention performs detailed calculations on the location of fire points in the target power transmission line area, promptly notifies relevant personnel when a fire point is detected, and calculates the speed of fire spread in a timely manner, which can control the fire trend more promptly, reduce economic losses, and better ensure the safety of power transmission lines. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 A structural framework diagram of a fire monitoring method for power transmission lines provided in an embodiment of the present invention;

[0067] Figure 2 A flowchart of a fire monitoring system for power transmission lines provided in an embodiment of the present invention. Detailed Implementation

[0068] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0069] Please see Figure 1 The present invention will now describe a fire monitoring method for power transmission lines.

[0070] A fire monitoring method for power transmission lines, comprising:

[0071] Step 1: Acquire satellite images of the target transmission line area;

[0072] Step 2: Preprocess the satellite image of the target transmission line area to obtain the preprocessed satellite image of the target transmission line area;

[0073] Further, step 2 includes:

[0074] Step 2.1: Perform grayscale correction on the satellite image of the target transmission line area to obtain a grayscale-corrected satellite image of the target transmission line area;

[0075] Further, step 2.1 includes:

[0076] Step 2.1.1: Obtain the gray levels and the number of pixels at each gray level from the satellite images of the target transmission line area;

[0077] Gray-level correction is a simple and effective image preprocessing method. This paper mainly uses it to preprocess infrared images in the spatial domain. It primarily operates directly on points in the image to correct the gray levels of image pixels. Histogram transformation is a method that enhances the distribution and structural relationships of image values ​​by adjusting the gray-level histogram. An image histogram reflects the relative frequency of the distribution of each image pixel value, representing the probability density function of discrete image values. The distribution of image pixel values ​​is random; generally, pixels near the mean occupy a large portion of all pixels, reflecting the main information of the image. Histogram transformation requires introducing the image's probability density function, allowing it to be transformed into the desired form through a transformation function. Then, the image is transformed based on the obtained histogram, enhancing the contrast of the image or a certain range of image values.

[0078] Step 2.1.2: Calculate the histogram of the satellite image of the target transmission line area based on the gray levels and the number of pixels at each gray level;

[0079] Step 2.1.3: Calculate the cumulative distribution function based on the histogram of satellite imagery of the target transmission line area;

[0080] Step 2.1.4: Map the histogram of the satellite image of the target transmission line area, and calculate the gray levels and the number of pixels at each gray level of the mapped satellite image of the target transmission line area based on the cumulative distribution function.

[0081] Step 2.1.5: Based on the gray level of the histogram of the target transmission line area satellite image after mapping, perform gray level correction on the target transmission line area satellite image to obtain the gray level corrected satellite image of the target transmission line area.

[0082] The formula for calculating the histogram of satellite imagery of the target transmission line area is as follows:

[0083]

[0084] Among them, P r (r j ) represents the histogram distribution of satellite images of the target transmission line area, where n is the number of lines. j denoted as the number of pixels at each gray level in the satellite image of the target transmission line area, where n is the number of pixels in the satellite image of the target transmission line area.

[0085] The formula for calculating the cumulative distribution function is:

[0086]

[0087] c(r) is the cumulative distribution function, k is the number of gray levels in the satellite image of the target transmission line area, and P r (r j ( ) is the histogram distribution of satellite images of the target transmission line area;

[0088] The formula for calculating the gray levels of the histogram of the mapped target transmission line area is as follows:

[0089] g i =INT[(g max -g min c(r)+g min +0.5]

[0090] Among them, g i The gray levels are the histogram of the target transmission line area after mapping, where INT is the VEP numerical function, and g is the gray level. max g is the maximum gray value of the histogram of the satellite image of the target transmission line area. min Let be the minimum gray value of the histogram of the satellite image of the target transmission line area, and c(r) be the cumulative distribution function.

[0091] The formula for calculating the histogram of the satellite image of the mapped target transmission line area is as follows:

[0092]

[0093] Among them, P g (g i ) represents the histogram distribution of the satellite image of the mapped target transmission line area, where n is the number of lines. i denoted as the number of pixels at each gray level of the histogram of the target transmission line area after mapping, and n is the number of pixels in the satellite image of the target transmission line area.

[0094] Histogram equalization is a method that uses an image histogram to adjust its contrast. When useful data in an image are similar and we want to increase contrast, the common approach is to perform histogram equalization. After equalization, local contrast is enhanced without affecting overall contrast, and brightness is well distributed across the image histogram.

[0095] By performing histogram equalization on satellite images of the target transmission line area, the contrast of the satellite images of the target transmission line area can be automatically increased, making the regional features more obvious.

[0096] Step 2.2: Denoise the satellite image of the target transmission line area after grayscale correction to obtain the preprocessed satellite image of the target transmission line area.

[0097] Further, step 2.2 includes:

[0098] Step 2.2.1: Obtain the pixel values ​​of all pixels in the satellite image of the target transmission line area after grayscale correction;

[0099] Step 2.2.2: Taking any pixel as the center pixel, calculate the median pixel value of the 8 pixels surrounding the center pixel;

[0100] Step 2.2.3: Replace the pixel value of the center pixel with the median pixel value of the 8 pixels surrounding the center pixel;

[0101] Step 2.2.4: Repeat steps 2.2.2-2.2.3 until all pixels have been replaced, and obtain a satellite image of the target transmission line area with the pixel values ​​replaced.

[0102] Step 2.2.5: Obtain the denoised satellite image of the target transmission line area based on the satellite image of the target transmission line area after pixel value replacement.

[0103] Step 3: Perform data analysis on the preprocessed satellite images of the target transmission line area to obtain the analyzed satellite images of the target transmission line area;

[0104] Furthermore, step 3 includes:

[0105] Step 3.1: Divide the preprocessed satellite image of the target transmission line area into grids to obtain a preset number of grid regions;

[0106] Step 3.2: Calculate the correlation degree for a preset number of grid areas to obtain a satellite image of the target transmission line area after the correlation degree calculation;

[0107] Further, step 3.2 includes:

[0108] Step 3.2.1: Obtain the similarity of each grid in the satellite image of the target transmission line area after the correlation calculation based on the grid region similarity calculation formula;

[0109] Step 3.2.2: Merge grids with similarity greater than a preset threshold to obtain satellite images of the target transmission line area after data analysis.

[0110] The formula for calculating the similarity between the grid cells is:

[0111]

[0112] Where d(r) i ,r j Let r be the distance between the i-th and j-th grid regions in the satellite image of the target transmission line area. i ′ represents the center point of the i-th grid region in the satellite image of the target transmission line area, r j ' is the center point of the j-th grid region in the satellite image of the target transmission line area, sim(r i ,r j ) represents the similarity between the i-th grid region and the j-th grid region in the satellite image of the target transmission line area.

[0113] Step 3.2: Perform hierarchical clustering on the satellite images of the target transmission line area after correlation calculation to obtain the satellite images of the target transmission line area after data analysis;

[0114] The formula for calculating the correlation degree is:

[0115]

[0116] Among them, I NDV ch1 represents the correlation coefficient between power transmission lines and vegetation in each grid area, ch2 represents the reflectance of vegetation to visible light in solar radiation during the day, and ch2 represents the reflectance of vegetation to near-infrared light in solar radiation during the day.

[0117] By performing correlation calculations on satellite images of the target transmission line area, it is possible to better separate the transmission lines from background objects such as vegetation, which is more conducive to monitoring the temperature of the transmission lines.

[0118] Step 4: Obtain the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis, and obtain the fire monitoring results of the target transmission line area based on the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis.

[0119] Furthermore, step 4 includes:

[0120] Step 4.1: Based on infrared thermometry, obtain the temperature of each grid and the temperature difference between each grid in the satellite image of the target transmission line area after data analysis;

[0121] Step 4.2: If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds the preset temperature value, then perform satellite image binarization connected component monitoring to obtain the satellite image of the target transmission line area after satellite image binarization connected component monitoring;

[0122] Further, step 4.2 includes:

[0123] If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds a preset temperature value, then the pixel value of each grid in the satellite image of the target transmission line area after data analysis is scanned, and pixels with pixel values ​​greater than a second preset threshold are grouped into the same set.

[0124] Step 4.3: Based on the satellite image of the target transmission line area after monitoring the binarized connected components of the satellite image, obtain the coordinates of the ignition point of the target transmission line area, and calculate the fire spread rate based on the coordinates of the ignition point of the target transmission line area.

[0125] Further, step 4.3 includes:

[0126] The coordinates of the ignition point are obtained by calculating the weighted average of the coordinates of each edge of the grid in the satellite image of the target power transmission line area where the temperature difference exceeds the preset temperature value.

[0127] The fire spread rate is obtained based on the coordinates of the ignition point;

[0128] The formula for calculating the fire spread rate is:

[0129] V F =Kp*Ks*14.1785e (0.1547Vw)

[0130] Among them, V F Kp is the fire spread rate, Ks is the correction factor for the vegetation type at the ignition point, Vw is the slope and terrain correction factor at the ignition point, and Vw is the wind speed at the ignition point.

[0131] This invention performs detailed calculations of the fire location in the target transmission line area. Upon detection of a fire location, it promptly notifies relevant personnel and calculates the rate of fire spread, enabling more timely control of the fire's trajectory, reducing economic losses, and better ensuring the safety of the transmission line.

[0132] The above is an introduction to the transmission line fire monitoring method provided in this application. In order to facilitate better implementation of the transmission line fire monitoring method provided in this application, this application also provides a fire monitoring system for transmission lines from the perspective of functional modules.

[0133] like Figure 2 As shown, a fire monitoring system for power transmission lines includes:

[0134] The satellite image acquisition module is used to acquire satellite images of the target transmission line area;

[0135] The image preprocessing module is used to preprocess satellite images of the target power transmission line area;

[0136] The data analysis module is used to perform data analysis on the preprocessed satellite images of the target transmission line area;

[0137] The fire monitoring result acquisition module is used to acquire the temperature of the target transmission line area and the fire monitoring results of the target transmission line area from satellite images of the target transmission line area after data analysis.

[0138] Compared with the prior art, the beneficial effects of the fire monitoring system for power transmission lines provided by the present invention are the same as those of the fire monitoring method for power transmission lines described in the above technical solution, and will not be repeated here.

[0139] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A fire monitoring method for power transmission lines, characterized in that, include: Step 1: Acquire satellite images of the target transmission line area; Step 2: Preprocess the satellite image of the target transmission line area to obtain a preprocessed satellite image of the target transmission line area; Step 3: Perform data analysis on the preprocessed satellite image of the target transmission line area to obtain the satellite image of the target transmission line area after data analysis; Step 4: Obtain the temperature of the target power transmission line area in the satellite image of the target power transmission line area after data analysis, and obtain the fire monitoring results of the target power transmission line area based on the temperature of the target power transmission line area in the satellite image of the target power transmission line area after data analysis.

2. The fire monitoring method and system for power transmission lines according to claim 1, characterized in that, Step 2: Preprocessing the satellite image of the target transmission line area to obtain a preprocessed satellite image of the target transmission line area, including: Step 2.1: Perform grayscale correction on the satellite image of the target transmission line area to obtain a grayscale-corrected satellite image of the target transmission line area; Step 2.2: Denoise the satellite image of the target transmission line area after grayscale correction to obtain a preprocessed satellite image of the target transmission line area.

3. A fire monitoring method for power transmission lines according to claim 2, characterized in that, Step 2.1 includes: Step 2.1.1: Based on the satellite image of the target transmission line area, obtain the gray levels and the number of pixels at each gray level of the satellite image of the target transmission line area; Step 2.1.2: Calculate the histogram of the satellite image of the target transmission line area based on the gray levels and the number of pixels at each gray level; Step 2.1.3: Calculate the cumulative distribution function based on the histogram of the satellite image of the target transmission line area; Step 2.1.4: Map the histogram of the satellite image of the target transmission line area, and calculate the gray levels and the number of pixels at each gray level of the mapped histogram of the satellite image of the target transmission line area based on the cumulative distribution function. Step 2.1.5: Based on the gray level of the histogram of the target transmission line area satellite image after mapping, perform gray level correction on the target transmission line area satellite image to obtain the gray level corrected satellite image of the target transmission line area; The formula for calculating the histogram of the satellite image of the target transmission line area is: Among them, P r (r j ) represents the histogram distribution of satellite images of the target transmission line area, where n is the number of lines. j denoted as the number of pixels at each gray level in the satellite image of the target transmission line area, where n is the number of pixels in the satellite image of the target transmission line area. The formula for calculating the cumulative distribution function is: c(r) is the cumulative distribution function, k is the number of gray levels in the satellite image of the target transmission line area, and P r (r j ( ) is the histogram distribution of satellite images of the target transmission line area; The formula for calculating the histogram of the satellite image of the mapped target transmission line area is as follows: Among them, P g (g i ) represents the histogram distribution of the satellite image of the mapped target transmission line area, where n is the number of lines. i denoted as the number of pixels at each gray level of the histogram of the target transmission line area after mapping, and n is the number of pixels in the satellite image of the target transmission line area.

4. A fire monitoring method for power transmission lines according to claim 3, characterized in that, Step 2.2: Denoise the satellite image of the target transmission line area after grayscale correction to obtain a preprocessed satellite image of the target transmission line area, including: Step 2.2.1: Obtain the pixel values ​​of all pixels in the satellite image of the target transmission line area after grayscale correction; Step 2.2.2: Taking any pixel as the center pixel, calculate the median pixel value of the 8 pixels surrounding the center pixel; Step 2.2.3: Replace the pixel value of the center pixel with the median pixel value of the 8 pixels surrounding the center pixel; Step 2.2.4: Repeat steps 2.2.2-2.2.3 until all pixels have been replaced, and obtain a satellite image of the target transmission line area with the pixel values ​​replaced. Step 2.2.5: Obtain a denoised satellite image of the target transmission line area based on the satellite image of the target transmission line area after the pixel value replacement is completed.

5. A fire monitoring method for power transmission lines according to claim 1, characterized in that, Step 3: Perform data analysis on the preprocessed satellite image of the target transmission line area to obtain a satellite image of the target transmission line area after data analysis, including: Step 3.1: Divide the preprocessed satellite image of the target transmission line area into grids to obtain a preset number of grid regions; Step 3.2: Calculate the correlation degree of the preset number of grid regions to obtain a satellite image of the target transmission line region after the correlation degree calculation; Step 3.3: Perform hierarchical clustering on the satellite images of the target transmission line area after the correlation calculation to obtain the satellite images of the target transmission line area after data analysis; The formula for calculating the correlation degree is: Among them, I NDV ch1 represents the correlation coefficient between power transmission lines and vegetation in each grid area, ch2 represents the reflectance of vegetation to visible light in solar radiation during the day, and ch2 represents the reflectance of vegetation to near-infrared light in solar radiation during the day.

6. A fire monitoring method for power transmission lines according to claim 5, characterized in that, Step 3.2 involves hierarchical clustering of the satellite images of the target transmission line area after correlation calculation to obtain satellite images of the target transmission line area after data analysis, including: Step 3.2.1: Obtain the similarity of each grid in the satellite image of the target transmission line area after the correlation calculation based on the grid region similarity calculation formula; Step 3.2.2: Merge grids with similarity greater than a preset threshold to obtain satellite images of the target transmission line area after data analysis; The formula for calculating the similarity between the grid cells is: Where d(r) i ,r j Let r be the distance between the i-th and j-th grid regions in the satellite image of the target transmission line area. i ′ represents the center point of the i-th grid region in the satellite image of the target transmission line area, r j ' is the center point of the j-th grid region in the satellite image of the target transmission line area, sim(r i ,r j ) represents the similarity between the i-th grid region and the j-th grid region in the satellite image of the target transmission line area.

7. A fire monitoring method for power transmission lines according to claim 5, characterized in that, Step 4: Obtain the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis, and obtain the fire monitoring results of the target transmission line area based on the temperature of the target transmission line area in the satellite image of the target transmission line area after data analysis, including: Step 4.1: Based on the infrared thermometry algorithm, obtain the temperature of each grid and the temperature difference between each grid in the satellite image of the target transmission line area after data analysis; Step 4.2: If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds the preset temperature value, then perform satellite image binarization connected component monitoring to obtain the satellite image of the target transmission line area after satellite image binarization connected component monitoring; Step 4.3: Based on the satellite image of the target transmission line area after monitoring the binarized connected components of the satellite image, obtain the coordinates of the ignition point of the target transmission line area, and calculate the fire spread rate based on the coordinates of the ignition point of the target transmission line area.

8. A fire monitoring method for power transmission lines according to claim 7, characterized in that, Step 4.2 includes: If the temperature difference between each grid in the satellite image of the target transmission line area after data analysis exceeds a preset temperature value, then the pixel value of each grid in the satellite image of the target transmission line area after data analysis is scanned, and pixels with pixel values ​​greater than a second preset threshold are grouped into the same set.

9. A fire monitoring method for power transmission lines according to claim 7, characterized in that, Step 4.3 includes: The coordinates of the ignition point are obtained by calculating the weighted average of the coordinates of each edge of the grid in the satellite image of the target power transmission line area where the temperature difference exceeds the preset temperature value. The fire spread rate is obtained based on the coordinates of the ignition point; The formula for calculating the rate of fire spread is: V F =Kp*Ks*14.1785e (0.1547Vw) Among them, V F Kp is the fire spread rate, Ks is the correction factor for the vegetation type at the ignition point, Vw is the slope and terrain correction factor at the ignition point, and Vw is the wind speed at the ignition point.

10. A fire monitoring system for power transmission lines, characterized in that, include: The satellite image acquisition module is used to acquire satellite images of the target transmission line area; The image preprocessing module is used to preprocess satellite images of the target power transmission line area; The data analysis module is used to perform data analysis on the preprocessed satellite images of the target transmission line area; The fire monitoring result acquisition module is used to acquire the temperature of the target transmission line area and the fire monitoring results of the target transmission line area from the satellite image of the target transmission line area after data analysis.

Images