Method, system and processor for calculating forest fire alarm distance of power transmission line

Abstract

The invention discloses a power transmission line forest fire alarm distance calculation method and system and a processor, and belongs to the technical field of power transmission line safety protection. The method comprises the following steps: acquiring satellite image data of an infrared band; performing remote sensing preprocessing on the satellite image data to obtain infrared brightness temperature data of a plurality of wavebands; fire source detection is carried out according to the infrared brightness temperature data of the multiple wavebands, and volcanic image elements are determined; open fire pixels are extracted from the forest fire pixels; the open fire pixels are integrated, and an open fire communication area is determined; and determining the power transmission line forest fire alarm distance according to the open fire communication area. The power transmission line forest fire alarm distance is determined based on the high-spatial-resolution satellite, and the precision of the power transmission line forest fire alarm distance can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power transmission line safety protection, and in particular to a method, system and processor for calculating a wildfire warning distance of a power transmission line. Background Art

[0002] As the scale of the power system continues to expand, transmission lines are increasingly crossing wildfire-prone areas such as ridges, valleys and forests. Wildfires may damage transmission lines and endanger the safe operation of the power system. Global climate change and the increase in extreme weather events have also increased the risk and threat of wildfires. Satellite remote sensing is a remote sensing technology that can monitor in areas that are rarely visited or difficult to access. It has the advantages of wide-area monitoring, high timeliness, and low susceptibility to interference. It is the main data source for current wildfire monitoring and early warning. By accurately calculating the distance between wildfires and transmission lines, resources can be deployed in a targeted manner to improve the efficiency of emergency response. However, the existing method for calculating the warning distance of fire points for satellite monitoring of overhead transmission lines is mainly based on satellite data with a spatial resolution of kilometers to carry out warning distance calculation and determine the warning level. The warning of satellites with low spatial resolution will be limited by their own resolution when confirming the location of the fire area, and cannot accurately locate the location of the wildfire and determine the scale and state of the fire, resulting in low accuracy of the warning distance of the transmission line wildfire. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a method, system and processor for calculating the wildfire warning distance of a transmission line, so as to solve the problem of low accuracy of the wildfire warning distance of a transmission line in the prior art.

[0004] In order to achieve the above-mentioned object, a first aspect of an embodiment of the present application provides a method for calculating a forest fire warning distance of a transmission line, the method comprising:

[0005] Obtain satellite image data in infrared band;

[0006] Perform remote sensing preprocessing on satellite image data to obtain infrared brightness temperature data in multiple bands;

[0007] Fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcanic pixels;

[0008] Extract open fire pixels from mountain fire pixels;

[0009] Integrate the open fire pixels to determine the open fire connected area;

[0010] Determine the forest fire warning distance of the transmission line based on the area connected by the open fire.

[0011] In the embodiment of the present application, fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcano pixels, including:

[0012] Obtain medium-wave infrared brightness temperature data from infrared brightness temperature data of multiple bands;

[0013] The fire point pixels whose medium-wave infrared brightness temperature data are greater than the first threshold are determined as absolute fire point pixels.

[0014] In the embodiment of the present application, fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcano pixels, including:

[0015] Obtain medium-wave infrared brightness temperature data and long-wave infrared brightness temperature data from infrared brightness temperature data of multiple bands;

[0016] When the medium-wave infrared brightness temperature data is less than the first threshold and greater than the second threshold, and the difference between the medium-wave infrared brightness temperature data and the long-wave infrared brightness temperature data is greater than the third threshold, the corresponding fire point pixel is determined to be a suspected fire point pixel;

[0017] The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

[0018] In an embodiment of the present application, obtaining an open fire pixel in a mountain fire pixel includes:

[0019] Taking the suspected fire point pixel as the window center, determine the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window;

[0020] When the inter-class variance value meets the preset conditions, the suspected fire point pixel is determined as an open fire pixel.

[0021] In the embodiment of the present application, the suspected fire point pixel is taken as the window center, and the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window is determined, including:

[0022] Get the number of target background pixels in the target window;

[0023] Determine the first proportion of suspected fire point pixels in the total pixels and the second proportion of target background pixels in the total pixels;

[0024] Obtain the first eigenvalue of the suspected fire point pixel, the second eigenvalue of the target background pixel, and the third eigenvalue of the global pixel; the second eigenvalue is the average value of the eigenvalues ​​of each target background pixel, and the third eigenvalue is the average value of the eigenvalue of the global pixel;

[0025] Substitute the first proportion, the second proportion, the first eigenvalue, and the second eigenvalue into the first target formula to obtain the inter-class variance value between the suspected fire point pixel and the target background pixel;

[0026] Among them, the first objective formula is:

[0027] σ2 =ω 0 (μ 0 -μ) 2 +ω 1 (μ 1 -μ) 2 (1)

[0028] Among them, σ 2 is the inter-class variance between the suspected fire point pixel and the target background pixel, ω 0 represents the second proportion, ω 1 Indicates the first proportion, μ 0 represents the second eigenvalue, μ 1 represents the first eigenvalue, and μ represents the third eigenvalue.

[0029] In the embodiment of the present application, determining the wildfire warning distance of the transmission line according to the open fire connection area includes:

[0030] Based on the open fire connected area, the boundary of the open fire connected area is extracted;

[0031] Get the first coordinate of the target pixel of the boundary;

[0032] The second coordinate of the first tower and the third coordinate of the second tower are obtained; the first tower is the tower with the shortest distance from the target pixel, and the second tower is any tower with a distance from the first tower within a preset range;

[0033] Substitute the first coordinate, the second coordinate and the third coordinate into the second target formula to obtain the wildfire warning distance of the transmission line;

[0034] Among them, the second objective formula is:

[0035]

[0036] Among them, d is the forest fire warning distance of the transmission line, (lon1, lat1) is the second coordinate, (lon2, lat2) is the third coordinate, and (loni, lati) is the first coordinate.

[0037] In an embodiment of the present application, the method further includes:

[0038] Determine whether the wildfire warning distance of the transmission line is greater than the preset safety distance threshold;

[0039] When the forest fire warning distance of the transmission line is greater than the preset safety distance threshold, an alarm prompt message is sent.

[0040] A second aspect of an embodiment of the present application provides a processor configured to execute the method for calculating the wildfire warning distance of a power transmission line according to the above-mentioned method.

[0041] A third aspect of an embodiment of the present application provides a device for calculating a forest fire warning distance of a power transmission line, comprising:

[0042] The acquisition module is used to obtain satellite image data in the infrared band;

[0043] The processing module is used to perform remote sensing preprocessing on satellite image data to obtain infrared brightness temperature data of multiple bands;

[0044] The detection module is used to detect fire sources and determine volcanic pixels based on infrared brightness temperature data of multiple bands;

[0045] An extraction module, used to extract open fire pixels from mountain fire pixels;

[0046] An integration module is used to integrate the open fire pixels and determine the open fire connected area;

[0047] The determination module is used to determine the wildfire warning distance of the transmission line according to the open fire connection area.

[0048] A fourth aspect of an embodiment of the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the method for calculating the forest fire warning distance of a power transmission line according to the above-mentioned method.

[0049] Through the above technical scheme, satellite image data in the infrared band is obtained; remote sensing preprocessing is performed on the satellite image data to obtain infrared brightness temperature data in multiple bands; fire source detection is performed based on the infrared brightness temperature data in multiple bands to determine volcano pixels; open fire pixels are obtained in the wildfire pixels; the open fire pixels are integrated to determine the open fire connection area; based on the open fire connection area, the wildfire warning distance of the transmission line is determined, which can improve the accuracy of the wildfire warning distance of the transmission line.

[0050] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:

[0052] Figure 1 A flowchart of a method for calculating a wildfire warning distance of a power transmission line according to an embodiment of the present application is schematically shown;

[0053] Figure 2 A schematic diagram of a warning distance based on a low spatial resolution satellite according to a specific embodiment of the present application is schematically shown;

[0054] Figure 3A schematic diagram of a high spatial resolution satellite wildfire warning distance according to a specific embodiment of the present application is schematically shown.

[0055] Figure 4 A flowchart of a method for calculating a wildfire warning distance of a power transmission line according to a specific embodiment of the present application is schematically shown;

[0056] Figure 5 The structure diagram of a device for calculating the wildfire warning distance of a power transmission line according to an embodiment of the present application is schematically shown. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0058] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0059] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0060] Figure 1 The flowchart of a method for calculating the wildfire warning distance of a power transmission line according to an embodiment of the present application is schematically shown. Figure 1 As shown, an embodiment of the present application provides a method for calculating the wildfire warning distance of a power transmission line, which is described by taking the method applied to a processor as an example. The method may include the following steps.

[0061] Step S101: Obtain satellite image data in the infrared band.

[0062] Step S102: performing remote sensing preprocessing on the satellite image data to obtain infrared brightness temperature data of multiple bands.

[0063] Step S103: Fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcano pixels.

[0064] Step S104: extracting open fire pixels from the mountain fire pixels.

[0065] Step S105: Integrate the open fire pixels to determine the open fire connected area.

[0066] Step S106: Determine the forest fire warning distance of the transmission line according to the open fire connection area.

[0067] In the embodiment of the present application, the satellite image data in the infrared band can provide information related to the surface temperature and thermal radiation, and can be used to detect fires. In one example, the satellite image data can be obtained through the Landsat series satellites, and the infrared band satellite image data provided by the Landsat series satellites has the characteristics of high resolution.

[0068] In an embodiment of the present application, when performing remote sensing preprocessing on satellite image data, the satellite image data may first be subjected to radiation correction. Through radiation correction, the accuracy of the satellite image data may be improved.

[0069] In the embodiment of the present application, brightness temperature can be understood as the surface temperature obtained from thermal infrared band data. By processing the brightness data of each band, infrared brightness temperature data of multiple bands can be obtained.

[0070] In the embodiment of the present application, volcanic pixels may include absolute fire point pixels and suspected fire point pixels. When using remote sensing images for fire source detection, a threshold algorithm may be used to find suspected mountain fire pixels. When determining pixels, the pixels may be determined based on infrared brightness temperature data. In one example, in the medium-wave infrared brightness temperature data T MIR If the pixel value is greater than 360K, the fire point pixel can be determined as an absolute fire point pixel. <T MIR <360K, and T MIR -T LIR >20K, the fire point pixel is determined as a suspected fire point pixel, where T LIR It is the long-wave infrared brightness temperature data.

[0071] In an embodiment of the present application, after determining the volcano pixel, the open fire pixel can be extracted based on the absolute fire point pixel and the suspected fire point pixel. The suspected fire point pixel can be used as the window center to calculate the inter-class variance value between the suspected point pixel and the target background pixel in the target window. In one example, the target window can be a window of size 21x21. The target background pixel can be understood as a representative background pixel that does not contain target features, such as fire points, clouds, buildings, etc.

[0072] In the embodiment of the present application, when the inter-class variance value is larger, the pixel classification is more obvious. In one example, an inter-class variance threshold can be set, and if the inter-class variance value is greater than the inter-class variance threshold, the suspected fire pixel can be determined as an open fire pixel.

[0073] In an embodiment of the present application, after the open fire pixels are determined, the interconnected wildfire pixels can be identified based on connected component analysis, and the adjacent open fire pixels can be gradually aggregated into an open fire connected area.

[0074] In the embodiment of the present application, the boundary of the open fire connected area can be extracted to obtain the first coordinate of the target pixel of the boundary; based on spatial analysis, the second coordinate of the tower G closest to the boundary pixel is retrieved, and the neighboring tower of tower G is recorded as G ′ , Tower G ′ The coordinate of is taken as the third coordinate, and the forest fire warning distance of the transmission line is calculated according to the first coordinate, the second coordinate and the third coordinate.

[0075] Through the above technical scheme, satellite image data in the infrared band is obtained; remote sensing preprocessing is performed on the satellite image data to obtain infrared brightness temperature data in multiple bands; fire source detection is performed based on the infrared brightness temperature data in multiple bands to determine volcano pixels; open fire pixels are obtained in the wildfire pixels; the open fire pixels are integrated to determine the open fire connection area; based on the open fire connection area, the wildfire warning distance of the transmission line is determined, which can improve the accuracy of the wildfire warning distance of the transmission line.

[0076] In the embodiment of the present application, fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcano pixels, including:

[0077] Obtain medium-wave infrared brightness temperature data from infrared brightness temperature data of multiple bands;

[0078] The fire point pixels whose medium-wave infrared brightness temperature data are greater than the first threshold are determined as absolute fire point pixels.

[0079] Specifically, volcanic pixels may include absolute fire point pixels. When determining volcanic pixels, a threshold algorithm may be used to determine the pixels. First, infrared brightness temperature data T of multiple bands are obtained. MIRThe medium-wave infrared brightness temperature data in the image is obtained, and the fire point pixels whose medium-wave infrared brightness temperature data are greater than the first threshold are determined as absolute fire point pixels.

[0080] In one example, the first threshold may be 360K. MIR The fire point pixels with a value of >360K are determined as absolute fire point pixels.

[0081] In the embodiment of the present application, fire source detection is performed based on infrared brightness temperature data of multiple bands to determine volcano pixels, including:

[0082] Obtain medium-wave infrared brightness temperature data and long-wave infrared brightness temperature data from infrared brightness temperature data of multiple bands;

[0083] When the medium-wave infrared brightness temperature data is less than the first threshold and greater than the second threshold, and the difference between the medium-wave infrared brightness temperature data and the long-wave infrared brightness temperature data is greater than the third threshold, the corresponding fire point pixel is determined to be a suspected fire point pixel;

[0084] The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

[0085] Specifically, volcanic pixels may also include suspected fire point pixels. First, obtain the medium-wave infrared brightness temperature data T of the infrared brightness temperature data of multiple bands. MIR and long-wave infrared brightness temperature data T LIR . And based on the medium-wave infrared brightness temperature data T MIR , long-wave infrared brightness temperature data T LIR , the first threshold, the second threshold and the third threshold determine the suspected fire point pixel.

[0086] In an example, the first threshold may be 360K, the second threshold may be 310K, and the third threshold may be 20K. <T MIR <360K, and T MIR -T LIR When the value is >20K, the fire point pixel can be determined as a suspected fire point pixel.

[0087] In an embodiment of the present application, obtaining an open fire pixel in a mountain fire pixel includes:

[0088] Taking the suspected fire point pixel as the window center, determine the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window;

[0089] When the inter-class variance value meets the preset conditions, the suspected fire point pixel is determined as an open fire pixel.

[0090] Specifically, after determining the volcanic pixels, the open fire pixels can be extracted based on the absolute fire point pixels and the suspected fire point pixels. The open fire pixels can be understood as the pixels in the remote sensing image that show significantly abnormal brightness temperature due to the high temperature or thermal radiation generated by the fire source.

[0091] Figure 2 A schematic diagram of a warning distance based on a low spatial resolution satellite according to a specific embodiment of the present application is schematically shown; Figure 3 The following schematically shows a high spatial resolution satellite fire warning distance diagram according to a specific embodiment of the present application. Figure 2 , Figure 3 As shown, when extracting open fire pixels, the suspected fire point pixel can be used as the window center to calculate the inter-class variance value between the suspected point pixel and the target background pixel in the target window. In one example, the target window can be a window of size 21x21. The target background pixel can be understood as a representative background pixel that does not contain target features, such as fire points, clouds, buildings, etc.

[0092] In the embodiment of the present application, the suspected fire point pixel is taken as the window center, and the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window is determined, including:

[0093] Get the number of target background pixels in the target window;

[0094] Determine the first proportion of suspected fire point pixels in the total pixels and the second proportion of target background pixels in the total pixels;

[0095] Obtain the first eigenvalue of the suspected fire point pixel, the second eigenvalue of the target background pixel, and the third eigenvalue of the global pixel; the second eigenvalue is the average value of the eigenvalues ​​of each target background pixel, and the third eigenvalue is the average value of the eigenvalue of the global pixel;

[0096] Substitute the first proportion, the second proportion, the first eigenvalue, and the second eigenvalue into the first target formula to obtain the inter-class variance value between the suspected fire point pixel and the target background pixel;

[0097] Among them, the first objective formula is:

[0098] σ 2 =ω 0 (μ 0 -μ) 2 +ω 1 (μ 1 -μ) 2 (1)

[0099] Among them, σ 2 is the inter-class variance between the suspected fire point pixel and the target background pixel, ω 0represents the second proportion, ω 1 Indicates the first proportion, μ 0 represents the second eigenvalue, μ 1 represents the first eigenvalue, and μ represents the third eigenvalue.

[0100] Specifically, first obtain the number of target background pixels in the target window, and determine the first proportion ω of the suspected fire point pixels in the total pixels according to the number of target background pixels. 1 , the second proportion of target background pixels in the total pixels ω 0 Then obtain the first eigenvalue μ of the suspected fire point pixel 1 , the second eigenvalue μ of the target background pixel 0 and the third eigenvalue μ of the global pixel; the second eigenvalue can be understood as the average value of the eigenvalues ​​of each target background pixel, and the third eigenvalue can be understood as the average value of the eigenvalues ​​of the global pixel;

[0101] Finally, the first proportion, the second proportion, the first eigenvalue, and the second eigenvalue are substituted into the first σ 2 =ω 0 (μ 0 -μ) 2 +ω 1 (μ 1 -μ) 2 , and obtain the inter-class variance value σ between the suspected fire point pixels and the target background pixels 2 .

[0102] In the embodiment of the present application, determining the wildfire warning distance of the transmission line according to the open fire connection area includes:

[0103] Based on the open fire connected area, the boundary of the open fire connected area is extracted;

[0104] Get the first coordinate of the target pixel of the boundary;

[0105] The second coordinate of the first tower and the third coordinate of the second tower are obtained; the first tower is the tower with the shortest distance from the target pixel, and the second tower is any tower with a distance from the first tower within a preset range;

[0106] Substitute the first coordinate, the second coordinate and the third coordinate into the second target formula to obtain the wildfire warning distance of the transmission line;

[0107] Among them, the second objective formula is:

[0108]

[0109] Among them, d is the forest fire warning distance of the transmission line, (lon1, lat1) is the second coordinate, (lon2, lat2) is the third coordinate, and (loni, lati) is the first coordinate.

[0110] Specifically, after determining the open fire connected area, the boundary of the open fire connected area can be extracted to obtain the first coordinate (loni, lati) of the target pixel at the boundary. Based on spatial analysis, the second coordinate (lon1, lat1) of the tower G closest to the boundary pixel is retrieved, the neighboring tower of tower G is recorded as G′, and the coordinate of tower G′ is the third coordinate (lon2, lat2). Based on the first coordinate (loni, lati), the second coordinate (lon1, lat1) and the third coordinate (lon2, lat2), they are substituted into formula (2) to obtain the transmission line wildfire warning distance d by calculation.

[0111] In an embodiment of the present application, the method further includes:

[0112] Determine whether the wildfire warning distance of the transmission line is greater than the preset safety distance threshold;

[0113] When the forest fire warning distance of the transmission line is greater than the preset safety distance threshold, an alarm prompt message is sent.

[0114] Specifically, after determining the wildfire warning distance of the transmission line by calculation, an alarm prompt can be issued by judging whether the wildfire warning distance of the transmission line is greater than a preset safety distance threshold, thereby reminding relevant personnel.

[0115] Figure 4 The following schematically shows a flow chart of a method for calculating the wildfire warning distance of a power transmission line according to a specific embodiment of the present application. Figure 4 As shown, in an embodiment of the present application, the method for calculating the forest fire warning distance of a transmission line includes the following steps:

[0116] S401: Infrared high spatial resolution satellite.

[0117] S402: Satellite data processing.

[0118] S403: Detection of volcanic pixels.

[0119] S404: Open fire pixel extraction.

[0120] S405: Open flame pixel integration.

[0121] S406: Calculate the warning distance.

[0122] S407: Alarm information is released.

[0123] In the embodiments of the present application, the specific implementation can be found in the above description and will not be repeated here.

[0124] Through the above technical solution, satellite image data of infrared bands are obtained, and remote sensing preprocessing is performed on the satellite image data of infrared bands to obtain brightness temperature data of multiple infrared bands. Fire source detection is then performed based on the brightness temperature data of multiple infrared bands to obtain volcano pixels. Open fire pixels are extracted based on volcano pixels. Finally, the open fire connection area is determined based on the open fire pixels, and the transmission line wildfire warning distance is determined based on the open fire connection area, which can improve the accuracy of the transmission line wildfire warning distance.

[0125] An embodiment of the present application provides a processor configured to execute the method for calculating the wildfire warning distance of a power transmission line according to the above-mentioned implementation manner.

[0126] Figure 5 The structure diagram of a device for calculating the wildfire warning distance of a power transmission line according to an embodiment of the present application is schematically shown. Figure 5 As shown, the embodiment of the present application provides a device for calculating the wildfire warning distance of a transmission line, comprising:

[0127] The acquisition module is used to obtain satellite image data in the infrared band;

[0128] The processing module is used to perform remote sensing preprocessing on satellite image data to obtain infrared brightness temperature data of multiple bands;

[0129] The detection module is used to detect fire sources and determine volcanic pixels based on infrared brightness temperature data of multiple bands;

[0130] An extraction module, used to extract open fire pixels from mountain fire pixels;

[0131] An integration module is used to integrate the open fire pixels and determine the open fire connected area;

[0132] The determination module is used to determine the wildfire warning distance of the transmission line according to the open fire connection area.

[0133] The device for calculating the forest fire warning distance of a transmission line provided in the second aspect of the embodiment of the present application can implement each process implemented in the above-mentioned method embodiment and achieve the same beneficial effects. To avoid repetition, it will not be described here.

[0134] An embodiment of the present application provides a machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the method for calculating the wildfire warning distance of a power transmission line according to the above-mentioned implementation manner.

[0135] Through the above technical solution, satellite image data of infrared bands are obtained, and remote sensing preprocessing is performed on the satellite image data of infrared bands to obtain brightness temperature data of multiple infrared bands. Fire source detection is then performed based on the brightness temperature data of multiple infrared bands to obtain volcano pixels. Open fire pixels are extracted based on volcano pixels. Finally, the open fire connection area is determined based on the open fire pixels, and the transmission line wildfire warning distance is determined based on the open fire connection area, which can improve the accuracy of the transmission line wildfire warning distance.

[0136] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0137] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0140] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0141] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0142] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0143] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0144] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for calculating the forest fire warning distance of a power transmission line, characterized in that: The method comprises: Obtain satellite image data in infrared band; Performing remote sensing preprocessing on the satellite image data to obtain infrared brightness temperature data of multiple bands; Perform fire source detection based on the infrared brightness temperature data of the multiple bands to determine volcanic pixels; Extracting open fire pixels from the mountain fire pixels; Integrating the open fire pixels to determine the open fire connected area; According to the open fire connection area, the forest fire warning distance of the transmission line is determined.

2. The method according to claim 1, characterized in that The method of performing fire source detection according to the infrared brightness temperature data of the multiple bands to determine volcano pixels includes: Acquire medium-wave infrared brightness temperature data from the infrared brightness temperature data of the multiple bands; The fire point pixels whose medium-wave infrared brightness temperature data is greater than a first threshold are determined as absolute fire point pixels.

3. The method according to claim 1, characterized in that The method of performing fire source detection according to the infrared brightness temperature data of the multiple bands to determine volcano pixels includes: Acquire medium-wave infrared brightness temperature data and long-wave infrared brightness temperature data from the infrared brightness temperature data of the multiple bands; When the medium-wave infrared brightness temperature data is less than the first threshold and greater than the second threshold, and the difference between the medium-wave infrared brightness temperature data and the long-wave infrared brightness temperature data is greater than the third threshold, the corresponding fire point pixel is determined to be a suspected fire point pixel; The first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

4. The method according to claim 3, characterized in that Extracting the open fire pixel from the mountain fire pixel comprises: Taking the suspected fire point pixel as the window center, determining the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window; When the inter-class variance value meets a preset condition, the suspected fire point pixel is determined as an open fire pixel.

5. The method according to claim 4, characterized in that The method of determining the inter-class variance value between the suspected fire point pixel and the target background pixel in the target window with the suspected fire point pixel as the window center includes: Obtaining the number of target background pixels in the target window; Determine a first proportion of the suspected fire point pixels in the total pixels, and a second proportion of the target background pixels in the total pixels; Obtaining a first eigenvalue of the suspected fire point pixel, a second eigenvalue of the target background pixel, and a third eigenvalue of the global pixel; the second eigenvalue is the average value of the eigenvalues ​​of each of the target background pixels, and the third eigenvalue is the average value of the eigenvalues ​​of the global pixel; Substituting the first proportion, the second proportion, the first eigenvalue, and the second eigenvalue into a first target formula to obtain an inter-class variance value between the suspected fire point pixel and the target background pixel; Among them, the first target formula is: s 2 =ω0(μ0-μ) 2 +ω1(μ1-μ) 2 (1) Among them, σ 2 is the inter-class variance value between the suspected fire point pixel and the target background pixel, ω0 represents the second proportion, ω1 represents the first proportion, μ0 represents the second eigenvalue, μ1 represents the first eigenvalue, and μ represents the third eigenvalue.

6. The method according to claim 1, characterized in that Determining the wildfire warning distance of the power transmission line according to the open fire connection area includes: Based on the open fire connected area, extracting the boundary of the open fire connected area; Obtaining a first coordinate of a target pixel of the boundary; Acquire the second coordinate of the first tower and the third coordinate of the second tower; the first tower is the tower with the shortest distance from the target pixel, and the second tower is any tower with a distance from the first tower within a preset range; Substituting the first coordinate, the second coordinate and the third coordinate into a second target formula to obtain the transmission line wildfire warning distance; Among them, the second target formula is: Among them, d is the forest fire warning distance of the transmission line, (lon1, lat1) is the second coordinate, (lon2, lat2) is the third coordinate, and (loni, lati) is the first coordinate.

7. The method according to claim 1, characterized in that The method further comprises: Determine whether the forest fire warning distance of the transmission line is greater than a preset safety distance threshold; When the forest fire warning distance of the transmission line is greater than the preset safety distance threshold, an alarm prompt message is sent.

8. A processor, characterized in that: The method is configured to execute the method for calculating the wildfire warning distance of a power transmission line according to any one of claims 1 to 7.

9. A device for calculating the forest fire warning distance of a power transmission line, characterized in that: include: The acquisition module is used to obtain satellite image data in the infrared band; A processing module, used for performing remote sensing preprocessing on the satellite image data to obtain infrared brightness temperature data of multiple bands; A detection module, used to detect fire sources based on the infrared brightness temperature data of the multiple bands and determine volcanic pixels; An extraction module, used for extracting open fire pixels from the mountain fire pixels; An integration module, used for integrating the open fire pixels to determine the open fire connected area; A determination module is used to determine the wildfire warning distance of the transmission line according to the open fire connection area.

10. A machine-readable storage medium storing a program or an instruction, characterized in that: When the program or the instruction is executed by the processor, the method for calculating the forest fire warning distance of the power transmission line according to any one of claims 1 to 7 is implemented.

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