CN113361323A - Method and device for monitoring fire points near power grid of plateau area based on satellite technology - Google Patents
Method and device for monitoring fire points near power grid of plateau area based on satellite technology Download PDFInfo
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Abstract
The invention relates to a method and a device for monitoring a fire point near a power grid in a plateau area based on a satellite technology, and belongs to the technical field of signal processing. The device comprises a data acquisition module, an absolute fire point distinguishing module, a potential fire point identification module, a coverage type judging module, a cloud layer judging module, a fixed heat source removing module and a result output module. When the satellite remote sensing technology is used for monitoring the mountain fire situation in the target area in a large range, the influence of snow accumulation, water, unused land, cloud layers and fixed heat sources on a satellite monitoring result is eliminated, and meanwhile, various absolute fire point judging methods are added, so that the detection rate of absolute fire points is improved, the false detection rate is reduced, and the method is easy to popularize and apply.
Description
Technical Field
The invention belongs to the technical field of signal processing, particularly relates to a method and a device for monitoring a fire point near a power grid of a plateau area based on a satellite technology, and particularly relates to a method, a device, a system and a storage medium for monitoring a fire point near a power grid of a plateau area based on Hiwari-8 data.
Background
In recent years, the grid structure scale of the power grid in China is continuously enlarged, the number of extra-high voltage alternating current and direct current and trans-regional power transmission lines is more and more, the geographic environments are complex and various, power transmission line corridors mostly pass through chongshan mountains and roads are rugged and dangerous, and if power grid equipment operation and maintenance personnel cannot find out forest fires near the power transmission line corridors in time, the forest fires can spread and even cause line tripping, so that the safety and stable operation of the power grid are threatened, and even immeasurable economic loss is brought to the society.
Due to the advantages of large satellite observation range, small limitation by terrain, high monitoring timeliness and the like, the remote sensing satellite has wider and wider application in the aspect of mountain fire monitoring, and as new generation stationary meteorological satellites such as Himapari-8 in Japan, FY-4 in China and the like are put into use successively, the application of the satellite mountain fire monitoring and early warning technology to mountain fire monitoring work has become a great trend. For a power grid, the difficulties that an online monitoring device is high in cost, manual inspection is not in place and timely discovery is not achieved can be effectively overcome, however, the existing researched satellite forest fire monitoring algorithm does not accumulate mountain fire monitoring threshold setting experience in a plateau region, only a space information method compared with the surrounding background environment is considered, the characteristic of change of brightness and temperature values of adjacent time sequences is not considered, and mountain fire nearby a power transmission line corridor cannot be monitored in a targeted manner. Therefore, how to overcome the deficiencies of the prior art is a problem to be solved in the field of signal processing technology.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a method and a device for monitoring fire points near a power grid in a plateau area based on a satellite technology, so as to eliminate false hot spot information such as accumulated snow, water, cloud layers, fixed heat sources and the like, improve the detection rate of absolute fire points, reduce the false detection rate and provide technical support for safe and stable operation of the power grid.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a method for monitoring fire points near a power grid of a plateau area based on a satellite technology comprises the following steps:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
Further, in step S2, it is preferable that the potential fire is determined on the array obtained in step S1, and the threshold determination condition formula is:
wherein, TΔ＝T3.9-T11.2，T3.9The brightness temperature value of a wave band of 3.9 mu m, T11.2The brightness temperature value of the wave band of 11.2 mu m; t'11Get 290K, T12' get 5K;
and marking the processes meeting the threshold discrimination condition as potential fire point groups and storing the potential fire point groups.
Further, it is preferable that the type of coverage in step S3 is accumulated snow, water or land; the types of vegetation cover on the land include woodland, grassland, and farmland, among others.
Further, it is preferable that the preliminary screening in step S3 includes:
step S31: judging the snow coverage type: judging whether the potential fire point is covered by the accumulated snow by utilizing the normalized accumulated snow index NDSI, and if the potential fire point is covered by the accumulated snow, satisfying a formula
Judging the potential fire point to be covered by snow, removing the array in the potential fire point array, and updating the array, wherein rho0.51A reflectance value in the 0.51 μm band, ρ1.6A reflectance value of 1.6 μm band;
step S32: judging the water body coverage type: judging whether the potential fire point is a water body area or not by utilizing the normalized vegetation index NDVI, and if the potential fire point meets a formula
Judging that the potential fire point is a water body area, removing the array in the potential fire point array, and updating the array, wherein rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band;
step S33: judging the land coverage type: when the potential fire point groups are judged not to be the snow cover type and the water body cover type, the potential fire point group cover type is considered to be the land; then judging the vegetation coverage type on the land;
the specific method for judging the vegetation coverage type comprises the following steps: the method comprises the steps of firstly positioning a potential fire point group, judging the vegetation coverage type of the potential fire point position, judging whether the potential fire point position is forest land, grassland, farmland or the like, and rejecting other potential fire point groups judged to be other.
Further, in step S4, it is preferable that the potential fire point groups updated in step S4 are judged day and night one by the following judgment formula:
if the formula is satisfied, the day is determined, otherwise, the night is determined;
and (3) carrying out cloud layer judgment on the potential fire point groups judged to be in the daytime, wherein the judgment formula is as follows: (ρ)0.64+ρ0.86>0.9)or(T12.4<265K)or(ρ0.64+ρ0.86>0.7andT12.4<285K)
If the mark meeting the conditions is a daytime cloud layer, the potential fire point groups are removed, and the groups are updated, wherein rho0.64(15*15)Reflectance values in the 0.64 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86(15*15)Reflectance values in the 0.86 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band; t is12.4The brightness temperature value of the wave band of 12.4 mu m.
Further, it is preferable that the specific method of step S6 is:
absolute ignition determination is performed on the potential ignition output in step S5:
if one of the three conditions is met, judging the fire point to be an absolute fire point, and directly outputting a result; otherwise, the fire point is a non-absolute fire point; wherein the content of the first and second substances,
in the formula: t isΔ＝T3.9-T11.2，
Wherein, T3.9The brightness temperature value of the wave band of 3.9 mu m; t is11.2The brightness temperature value of the wave band of 11.2 mu m; z3.9The standard deviation of the brightness temperature value of a wave band of 3.9 mu m; t is△The difference between the brightness temperature values of the fire point pixel at the 3.9 μm waveband and the 11.2 μm waveband; z△The standard deviation of the difference between the brightness temperature values of the 3.9 mu m wave band and the 11.2 mu m wave band; mean is a measure of15*15(T) represents the mean of the 15 x 15 pel window area centered on the fire; mean is a measure of15*15(T3.9-11.2) The average value of the difference between the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center and the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center is 11.2 mu m; std15*15(T) represents the standard deviation of a 15 x 15 pixel window area with the fire as the center after the central fire is removed, namely the standard deviation of the difference between the brightness temperature value of the 3.9 mu m wave band and the brightness temperature value of the 11.2 mu m wave band of each pixel point; the moment t is the moment when the satellite monitors the mountain fire at present; the time t-1 is the last time when the satellite monitors the mountain fire; t is△tThe difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time t; t is△(t-1)The difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time of t-1; t is3.9tThe value is the brightness temperature value of the wave band of 3.9 mu m at the time t; t is3.9(t-1)The brightness temperature value of the wave band of 3.9 mu m at the time of t-1; t is11Taking 320K; t is12Taking 25K; t is21Taking 290K; t is22Taking 5K; z21Taking 3 in the day and 2 in the night; z22Taking 3.5 in daytime and 2.5 at night; t is31Taking 300K; t is32Taking 7K; t is33Taking 2K; t is34Taking 2K;
step S62: and (4) superposing the longitude and latitude of the absolute fire point output in the step (S61) into a power grid GIS system, judging whether the absolute fire point is within a range of 2km of a power transmission line channel by using an Euclidean formula, and if the absolute fire point is within the range of 2km, outputting the line name, the pole tower number, the vegetation type and the distance information from the absolute fire point, which are influenced by the absolute fire point.
The invention also provides a device for monitoring the fire point near the power grid of the plateau area based on the satellite technology, which comprises the following components:
the data acquisition module is used for acquiring the satellite images after geometric correction and image registration, cutting the target area, traversing and extracting the reflectivity and the brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
the absolute fire point distinguishing module is used for distinguishing potential fire points of the obtained array in the satellite image of the target area, marking and storing the array meeting the threshold distinguishing condition and obtaining the potential fire point array;
the coverage type judging module is used for judging the coverage types of the marked potential fire points in the array one by one, primarily screening the potential fire points and updating the potential fire point array;
the cloud layer judgment module is used for judging whether the position of the potential fire point is caused by the high reflectivity of the cloud layer according to the reflectivity and the brightness temperature value data in the updated potential fire point array, removing the potential fire point data caused by the high reflectivity of the cloud layer and further updating the potential fire point array;
the fixed heat source removing module is used for judging whether the updated potential fire point groups are fixed heat sources or not by utilizing the Euclidean distance corresponding to the fixed heat source database, if so, removing the potential fire points marked as the fixed heat sources in the potential fire point groups, and updating the groups again;
and the output result module is used for judging the updated data of the potential fire point groups one by utilizing three absolute fire point threshold judgment formulas, judging the potential fire point groups as absolute fire points if one of three judgment conditions is met, then superposing the absolute fire point positions into a power grid GIS system, and outputting fire point information in a range of 2km of a power transmission line channel corridor to operation and maintenance personnel.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, and is characterized in that the processor executes the program to realize the steps of the method for monitoring the fire point near the power grid of the plateau area based on the satellite technology.
The present invention further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for monitoring fire near a grid in a plateau region based on satellite technology as described above.
In the invention, the distance between a potential fire point and a coordinate point of any point in a fixed heat source database is calculated by using the Euclidean distance, and a threshold value is set according to the resolution of a utilized satellite image, for example, when an H8 satellite is adopted, the threshold value is set to be 2 km; when an NPP satellite is adopted, the threshold value is set to be 1 km; with MODIS satellite loading, the threshold is set at 375 m. If the potential fire points and the fixed heat source are within a set threshold range, the potential fire points marked as the fixed heat source are removed from the potential fire point group, and the data are updated again;
in S2, T'11Generally 290K, T12' generally 5K is taken, and T ' is different '11、T’12The values are slightly different. And labels satisfying the formula as an array of potential fires.
Cloud layer judgment: and (4) cloud layer discrimination is carried out on the potential fire point array output in the step (S4), and after misdiscrimination fire points caused by high cloud layer reflectivity are removed, the potential fire point array is updated.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an improved method for monitoring fire points near a power grid of a plateau area based on Himapari-8 data, two ideas of spatial information and time sequence are fused, the combination of the methods can make up for the omission condition of a single method, and the combined application of the methods is more beneficial to high-accuracy quasi-real-time tracking and monitoring of forest fires.
When the satellite remote sensing technology is used for monitoring mountain fire situations in a target area in a large range, the influence of snow accumulation, water, unused land, cloud layers and fixed heat sources on satellite monitoring results is eliminated, and meanwhile, various absolute fire point judging methods are added, so that the detection rate of absolute fire points is improved, and the false detection rate is reduced.
The invention provides a fire point identification method based on time information on the basis of a fire point identification algorithm of spatial information, and data verification proves that the missing rate of forest fire with a large area can be reduced from 70% to 40%, and the missing rate of forest fire with a large area is reduced to a certain extent.
Drawings
FIG. 1 is a flow chart of a method for monitoring a fire point near a power grid in a plateau area based on satellite technology;
FIG. 2 is a schematic structural diagram of a system for monitoring fire points near a power grid in a plateau area based on satellite technology;
FIG. 3 is a schematic diagram of an electronic device according to the present invention;
FIG. 4 is a graph of 0.51 μm, 0.64 μm, 0.86 μm, 1.6 μm H8 images of 15 × 15 zones centered around the fire longitude and latitude;
fig. 5 is a 3.9 μm-11.2 μmH8 image of a 15 × 15 region output centered on the fire longitude and latitude.
Detailed Description
The present invention will be described in further detail with reference to examples.
It will be appreciated by those skilled in the art that the following examples are illustrative of the invention only and should not be taken as limiting the scope of the invention. The examples do not specify particular techniques or conditions, and are performed according to the techniques or conditions described in the literature in the art or according to the product specifications. The materials or equipment used are not indicated by manufacturers, and all are conventional products available by purchase.
Example 1
As shown in fig. 1, a method for monitoring a fire point near a power grid in a plateau region based on a satellite technology includes the following steps:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
Example 2
As shown in fig. 1, a method for monitoring a fire point near a power grid in a plateau region based on a satellite technology includes the following steps:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
In step S2, the potential fire is determined for the array obtained in step S1, and the threshold determination condition formula is:
wherein, TΔ＝T3.9-T11.2，T3.9The brightness temperature value of a wave band of 3.9 mu m, T11.2The brightness temperature value of the wave band of 11.2 mu m; t'11Get 290K, T12' get 5K;
and marking the processes meeting the threshold discrimination condition as potential fire point groups and storing the potential fire point groups.
The coverage type in the step S3 is accumulated snow, water or land; the types of vegetation cover on the land include woodland, grassland, and farmland, among others.
Further, it is preferable that the preliminary screening in step S3 includes:
step S31: judging the snow coverage type: judging whether the potential fire point is covered by the accumulated snow by utilizing the normalized accumulated snow index NDSI, and if the potential fire point is covered by the accumulated snow, satisfying a formula
Judging the potential fire point to be covered by snow, removing the array in the potential fire point array, and updating the array, wherein rho0.51A reflectance value in the 0.51 μm band, ρ1.6A reflectance value of 1.6 μm band;
step S32: judging the water body coverage type: judging whether the potential fire point is a water body area or not by utilizing the normalized vegetation index NDVI, and if the potential fire point meets a formula
Judging that the potential fire point is a water body area, removing the array in the potential fire point array, and updating the array, wherein rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band;
step S33: judging the land coverage type: when the potential fire point groups are judged not to be the snow cover type and the water body cover type, the potential fire point group cover type is considered to be the land; then judging the vegetation coverage type on the land;
the specific method for judging the vegetation coverage type comprises the following steps: the method comprises the steps of firstly positioning a potential fire point group, judging the vegetation coverage type of the potential fire point position, judging whether the potential fire point position is forest land, grassland, farmland or the like, and rejecting other potential fire point groups judged to be other.
In step S4, the groups of potential fire points updated in step S4 are judged day and night one by one according to the following judgment formula:
if the formula is satisfied, the day is determined, otherwise, the night is determined;
and (3) carrying out cloud layer judgment on the potential fire point groups judged to be in the daytime, wherein the judgment formula is as follows: (ρ)0.64+ρ0.86>0.9)or(T12.4<265K)or(ρ0.64+ρ0.86>0.7andT12.4<285K)
If the mark meeting the above conditions is a daytime cloud layer, the potential fire points are rejected in the group, and then the fire points are rejectedUpdating the line array, wherein p0.64(15*15)Reflectance values in the 0.64 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86(15*15)Reflectance values in the 0.86 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band; t is12.4The brightness temperature value of the wave band of 12.4 mu m.
The specific method of step S6 is:
absolute ignition determination is performed on the potential ignition output in step S5:
if one of the three conditions is met, judging the fire point to be an absolute fire point, and directly outputting a result; otherwise, the fire point is a non-absolute fire point; wherein the content of the first and second substances,
in the formula: t isΔ＝T3.9-T11.2，
Wherein, T3.9The brightness temperature value of the wave band of 3.9 mu m; t is11.2The brightness temperature value of the wave band of 11.2 mu m; z3.9The standard deviation of the brightness temperature value of a wave band of 3.9 mu m; t is△The difference between the brightness temperature values of the fire point pixel at the 3.9 μm waveband and the 11.2 μm waveband; z△The standard deviation of the difference between the brightness temperature values of the 3.9 mu m wave band and the 11.2 mu m wave band; mean is a measure of15*15(T) represents the mean of the 15 x 15 pel window area centered on the fire; mean is a measure of15*15(T3.9-11.2) The average value of the difference between the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center and the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center is 11.2 mu m; std15*15(T) represents the standard deviation of a 15 x 15 pixel window area with the fire as the center after the central fire is removed, namely the standard deviation of the difference between the brightness temperature value of the 3.9 mu m wave band and the brightness temperature value of the 11.2 mu m wave band of each pixel point; the moment t is the moment when the satellite monitors the mountain fire at present; the time t-1 is the last time when the satellite monitors the mountain fire; t is△tThe difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time t; t is△(t-1)The difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time of t-1; t is3.9tThe value is the brightness temperature value of the wave band of 3.9 mu m at the time t; t is3.9(t-1)The brightness temperature value of the wave band of 3.9 mu m at the time of t-1; t is11Taking 320K; t is12Taking 25K; t is21Taking 290K; t is22Taking 5K; z21Taking 3 in the day and 2 in the night; z22Taking 3.5 in daytime and 2.5 at night; t is31Taking 300K; t is32Taking 7K; t is33Taking 2K; t is34Taking 2K;
step S62: and (4) superposing the longitude and latitude of the absolute fire point output in the step (S61) into a power grid GIS system, judging whether the absolute fire point is within a range of 2km of a power transmission line channel by using an Euclidean formula, and if the absolute fire point is within the range of 2km, outputting the line name, the pole tower number, the vegetation type and the distance information from the absolute fire point, which are influenced by the absolute fire point.
As shown in fig. 2, the device for monitoring fire points near the power grid of a plateau region based on satellite technology is characterized by comprising:
the data acquisition module 101 is configured to acquire a satellite image after geometric correction and image registration, crop a target area, traverse and extract a reflectivity and a brightness temperature value of each grid in an image, and create an array including the reflectivity and the brightness temperature value;
the absolute fire point distinguishing module 102 is configured to distinguish a potential fire point of the obtained array in the target area satellite image, and store a mark meeting a threshold distinguishing condition to obtain a potential fire point array;
the coverage type judging module 103 is used for judging the coverage types of the potential fire points marked in the array one by one, primarily screening the potential fire points and updating the potential fire point array;
the cloud layer judgment module 104 is used for judging whether the position of the potential fire point is caused by high reflectivity of a cloud layer according to the reflectivity and brightness temperature value data in the updated potential fire point array, removing the potential fire point data caused by the high reflectivity of the cloud layer and further updating the potential fire point array;
a fixed heat source removing module 105, configured to determine whether the updated potential fire point group is a fixed heat source by using the euclidean distance corresponding to the fixed heat source database, and if so, remove the potential fire points marked as the fixed heat source in the potential fire point group, and update the group again;
and the output result module 106 is used for judging the updated data of the potential fire point groups one by utilizing three absolute fire point threshold judgment formulas, judging the potential fire point groups as absolute fire points if one of three judgment conditions is met, then superposing the absolute fire point positions into a power grid GIS system, and outputting fire point information in a range of 2km of a power transmission line channel corridor to operation and maintenance personnel.
In the embodiment of the invention, a data acquisition module 101 acquires a satellite image after geometric correction and image registration, cuts a target area, traverses and extracts the reflectivity and brightness temperature value of each grid in an image, and creates an array containing the reflectivity and brightness temperature value; the absolute fire point distinguishing module 102 distinguishes potential fire points of the obtained array in the satellite image of the target area, marks and stores the array meeting the threshold distinguishing condition, and obtains the potential fire point array; the coverage type judgment module 103 judges the coverage types of the marked potential fire points in the array one by one, preliminarily screens the potential fire points, and updates the potential fire point array; the cloud layer judgment module 104 judges whether the position of the potential fire point is caused by the high reflectivity of the cloud layer according to the reflectivity and the brightness temperature value data in the updated potential fire point array, removes the potential fire point data caused by the high reflectivity of the cloud layer, and further updates the potential fire point array; the fixed heat source removing module 105 corresponds to the fixed heat source database, judges whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, removes the potential fire points marked as the fixed heat source in the potential fire point group if the updated potential fire point group is the fixed heat source, and updates the group again; the output result module 106 judges the updated data of the potential fire point groups one by using three absolute fire point threshold judgment formulas, if one of the three judgment conditions is met, the data is judged to be an absolute fire point, then the absolute fire point position is superposed into a power grid GIS system, and the fire point information in the range of 2km of a power transmission line channel corridor is output to operation and maintenance personnel.
According to the plateau area power grid nearby fire monitoring device based on the satellite technology, when the satellite remote sensing technology is used for monitoring mountain fire situations in a target area in a large range, the influence of snow accumulation, water, unused land, cloud layers and fixed heat sources on satellite monitoring results is eliminated, and meanwhile, various absolute fire point distinguishing methods are added, so that the detection rate of absolute fire points is improved, and the false detection rate is reduced.
The system provided by the embodiment of the present invention is used for executing the above method embodiments, and for details of the process and the details, reference is made to the above embodiments, which are not described herein again.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and referring to fig. 3, the electronic device may include: a processor (processor)201, a communication Interface (communication Interface)202, a memory (memory)203 and a communication bus 204, wherein the processor 201, the communication Interface 202 and the memory 203 complete communication with each other through the communication bus 204. The processor 201 may call logic instructions in the memory 203 to perform the following method:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
In addition, the logic instructions in the memory 203 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to, when executed by a processor, perform the method for monitoring fire in the vicinity of a power grid in a plateau region based on satellite technology, where the method includes:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Examples of the applications
FIG. 1 is a flow chart of a method for monitoring a fire point near a power grid of a plateau area based on satellite technology, wherein the method is based on Himapari-8 data. As shown in fig. 1, a method for monitoring fire points near a power grid in a plateau region based on a satellite technology includes the following steps:
step S1: data acquisition:
taking a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array; the method specifically comprises the following steps:
and (4) carrying out potential fire point judgment on the array obtained in the step (S1), wherein the threshold judgment condition formula is as follows:
wherein, TΔ＝T3.9-T11.2，T3.9The brightness temperature value of a wave band of 3.9 mu m, T11.2The brightness temperature value of the wave band of 11.2 mu m; t'11Get 290K, T12' get 5K;
and marking the processes meeting the threshold discrimination condition as potential fire point groups and storing the potential fire point groups.
Step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
the coverage type is accumulated snow, water or land; wherein the vegetation cover types on the land comprise forest lands, grasslands and farmlands;
the preliminary screening comprises the following steps:
step S31: judging the snow coverage type: judging whether the potential fire point is covered by the accumulated snow by utilizing the normalized accumulated snow index NDSI, and if the potential fire point is covered by the accumulated snow, satisfying a formula
Judging the potential fire point to be covered by snow, removing the array in the potential fire point array, and updating the array, wherein rho0.51A reflectance value in the 0.51 μm band, ρ1.6A reflectance value of 1.6 μm band;
step S32: judging the water body coverage type: judging whether the potential fire point is a water body area or not by utilizing the normalized vegetation index NDVI, and if the potential fire point meets a formula
Judging that the potential fire point is a water body area, removing the array in the potential fire point array, and updating the array, wherein rho0.86Reflectance value in the 0.86 μm band, ρ0.64Is in the 0.64 mu m wave bandA reflectance value;
step S33: judging the land coverage type: when the potential fire point groups are judged not to be the snow cover type and the water body cover type, the potential fire point group cover type is considered to be the land; then judging the vegetation coverage type on the land;
the specific method for judging the vegetation coverage type comprises the following steps: the method comprises the steps of firstly positioning a potential fire point group, judging the vegetation coverage type of the potential fire point position, judging whether the potential fire point position is forest land, grassland, farmland or the like, and rejecting other potential fire point groups judged to be other.
Step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array; the method specifically comprises the following steps:
and (4) judging the potential fire point groups updated in the step (S4) day and night one by one, wherein the judgment formula is as follows:
if the formula is satisfied, the day is determined, otherwise, the night is determined;
and (3) carrying out cloud layer judgment on the potential fire point groups judged to be in the daytime, wherein the judgment formula is as follows: (ρ)0.64+ρ0.86>0.9)or(T12.4<265K)or(ρ0.64+ρ0.86>0.7andT12.4<285K)
If the mark meeting the conditions is a daytime cloud layer, the potential fire point groups are removed, and the groups are updated, wherein rho0.64(15*15)Reflectance values in the 0.64 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86(15*15)Reflectance values in the 0.86 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band; t is12.4The brightness temperature value of the wave band of 12.4 mu m.
Step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel. The specific method comprises the following steps:
absolute ignition determination is performed on the potential ignition output in step S5:
if one of the three conditions is met, judging the fire point to be an absolute fire point, and directly outputting a result; otherwise, the fire point is a non-absolute fire point; wherein the content of the first and second substances,
in the formula: t isΔ＝T3.9-T11.2，
Wherein, T3.9The brightness temperature value of the wave band of 3.9 mu m; t is11.2The brightness temperature value of the wave band of 11.2 mu m; z3.9The standard deviation of the brightness temperature value of a wave band of 3.9 mu m; t is△Is a fire point pixel 3.9Difference between the brightness temperature values of the mu m band and 11.2 mu m band; z△The standard deviation of the difference between the brightness temperature values of the 3.9 mu m wave band and the 11.2 mu m wave band; mean is a measure of15*15(T) represents the mean of the 15 x 15 pel window area centered on the fire; mean is a measure of15*15(T3.9-11.2) The average value of the difference between the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center and the brightness temperature value of each pixel point of the 15 x 15 pixel window area with the fire point as the center is 11.2 mu m; std15*15(T) represents the standard deviation of a 15 x 15 pixel window area with the fire as the center after the central fire is removed, namely the standard deviation of the difference between the brightness temperature value of the 3.9 mu m wave band and the brightness temperature value of the 11.2 mu m wave band of each pixel point; the moment t is the moment when the satellite monitors the mountain fire at present; the time t-1 is the last time when the satellite monitors the mountain fire; t is△tThe difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time t; t is△(t-1)The difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time of t-1; t is3.9tThe value is the brightness temperature value of the wave band of 3.9 mu m at the time t; t is3.9(t-1)The brightness temperature value of the wave band of 3.9 mu m at the time of t-1; t is11Taking 320K; t is12Taking 25K; t is21Taking 290K; t is22Taking 5K; z21Taking 3 in the day and 2 in the night; z22Taking 3.5 in daytime and 2.5 at night; t is31Taking 300K; t is32Taking 7K; t is33Taking 2K; t is34Taking 2K;
step S62: and (4) superposing the longitude and latitude of the absolute fire point output in the step (S61) into a power grid GIS system, judging whether the absolute fire point is within a range of 2km of a power transmission line channel by using an Euclidean formula, and if the absolute fire point is within the range of 2km, outputting the line name, the pole tower number, the vegetation type and the distance information from the absolute fire point, which are influenced by the absolute fire point.
Taking a certain mountain fire near a power transmission line channel in the Yunnan region as an example, an image file of 2020-4-2114: 30H8 data is obtained, channel parameters of 0.51 mu m, 0.64 mu m, 0.86 mu m and 1.6 mu m in a 15 x 15 region are output by taking the longitude and latitude of the fire point as the center, and as shown in figure 4, the positions of the fire point, such as the accumulated snow, the non-water body and the non-cloud layer, are judged according to a formula.
Looking up brightness temperature values of infrared band (3.9 μm) and far infrared band (11.2 μm) in H8 satellite, and outputting 15 × 15 window region T centered on the fire point3.9、T3.9-11.2、Z3.9、Z3.9-11.2And the like. T at any time approximately three hours before and after the moment of fire point occurrence (as shown in Table 1)3.9Within the interval of (307, 315), TΔIn the interval (5, 10), but Z3.9Fluctuating in the (0.5, 2.5) interval, ZΔIn the (-0.3, 1.5) interval wave band, the formula (1) and the formula (2) are not satisfied, but the formula (3) is satisfied, so on the basis of absolute threshold and relative threshold, the absolute fire point distinguishing method based on time series is added, the missed detection rate of forest fire with a large area is reduced to a certain extent, and the missed detection rate is reduced from 70% to 30% through practice verification.
TABLE 1
| Time | T3.9 | T11.2 | T△ |
| 202004211230 | 309.14 | 303.23 | 5.91 |
| 202004211240 | 309.28 | 303 | 6.28 |
| 202004211250 | 309.4 | 302.8 | 6.6 |
| 202004211300 | 309.37 | 303.03 | 6.34 |
| 202004211310 | 309.68 | 303.55 | 6.13 |
| 202004211320 | 308.75 | 301.46 | 7.29 |
| 202004211330 | 308.92 | 301.59 | 7.33 |
| 202004211340 | 309.26 | 303.65 | 5.61 |
| 202004211350 | 309.61 | 303.85 | 5.76 |
| 202004211400 | 308.85 | 303.5 | 5.35 |
| 202004211410 | 309.04 | 303.25 | 5.79 |
| 202004211420 | 311.25 | 303.05 | 8.2 |
| 202004211430 | 308.13 | 301.67 | 6.46 |
| 202004211450 | 309.06 | 301.39 | 7.67 |
| 202004211500 | 310.22 | 301.08 | 9.14 |
In summary, the method, the device, the system and the storage medium for monitoring the fire points near the power grid of the plateau area based on the Himapari-8 data disclosed by the embodiments of the invention can be applied to computer-end software and matched with corresponding hardware equipment. Compared with 201710174363.0, 201810444591.X and 201911049127.1, the invention adds various absolute fire point threshold value judging methods such as relative threshold values, multi-sequence threshold values and the like on the basis of 201710174363.0, 201810444591.X and 201911049127.1, and has wider trial range; meanwhile, fixed heat source data rejection caused by a factory is increased, and the fire point monitoring accuracy is further improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A method for monitoring fire points near a power grid of a plateau area based on a satellite technology is characterized by comprising the following steps:
step S1: data acquisition: acquiring a satellite image after geometric correction and image registration, cutting a target area, traversing and extracting the reflectivity and brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
step S2: and (3) potential fire point discrimination: in the satellite image of the target area, carrying out potential fire point judgment on the array obtained in the step S1, and carrying out mark storage on the array meeting the threshold judgment condition to obtain a potential fire point array;
step S3: and (4) judging the coverage type: judging the coverage types of the potential fire points marked in the array of the step S3 one by one, primarily screening the potential fire points, and updating the array of the potential fire points;
step S4: cloud layer judgment: outputting the reflectivity and brightness temperature value data in the potential fire point array updated in the step S4, judging whether the potential fire point position is caused by cloud layer high reflectivity, removing the potential fire point data caused by the cloud layer high reflectivity, and further updating the potential fire point array;
step S5: removing a fixed heat source: corresponding to the fixed heat source database, judging whether the updated potential fire point group is a fixed heat source by using the Euclidean distance, if so, rejecting the potential fire points marked as the fixed heat source in the potential fire point group, and updating the group again;
step S6: and outputting a result: and (4) judging the data of the potential fire point groups updated in the step (S6) one by utilizing three absolute fire point threshold judgment formulas, judging the data as the absolute fire point if one of three judgment conditions is met, then superposing the absolute fire point position into a power grid GIS system, and outputting the fire point information within 2km of a power transmission line channel corridor to operation and maintenance personnel.
2. The method for monitoring the fire point near the power grid of the plateau area based on the satellite technology as claimed in claim 1, wherein in step S2, the potential fire point is determined from the array obtained in step S1, and the threshold determination condition formula is:
wherein, TΔ＝T3.9-T11.2，T3.9The brightness temperature value of a wave band of 3.9 mu m, T11.2The brightness temperature value of the wave band of 11.2 mu m; t'11Get 290K, T12' get 5K;
and marking the processes meeting the threshold discrimination condition as potential fire point groups and storing the potential fire point groups.
3. The method for monitoring fire points near the power grid of the plateau area based on the satellite technology as claimed in claim 1, wherein the coverage type in step S3 is snow, water or land; the types of vegetation cover on the land include woodland, grassland, and farmland, among others.
4. The method for monitoring the fire point near the power grid of the plateau area based on the satellite technology as claimed in claim 1, wherein the preliminary screening in step S3 comprises the steps of:
step S31: product of large quantitiesJudging the snow coverage type: judging whether the potential fire point is covered by the accumulated snow by utilizing the normalized accumulated snow index NDSI, and if the potential fire point is covered by the accumulated snow, satisfying a formula
Judging the potential fire point to be covered by snow, removing the array in the potential fire point array, and updating the array, wherein rho0.51A reflectance value in the 0.51 μm band, ρ1.6A reflectance value of 1.6 μm band;
step S32: judging the water body coverage type: judging whether the potential fire point is a water body area or not by utilizing the normalized vegetation index NDVI, and if the potential fire point meets a formula
Judging that the potential fire point is a water body area, removing the array in the potential fire point array, and updating the array, wherein rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band;
step S33: judging the land coverage type: when the potential fire point groups are judged not to be the snow cover type and the water body cover type, the potential fire point group cover type is considered to be the land; then judging the vegetation coverage type on the land;
the specific method for judging the vegetation coverage type comprises the following steps: the method comprises the steps of firstly positioning a potential fire point group, judging the vegetation coverage type of the potential fire point position, judging whether the potential fire point position is forest land, grassland, farmland or the like, and rejecting other potential fire point groups judged to be other.
5. The method as claimed in claim 1, wherein in step S4, the updated set of potential fires is determined day by day in step S4, and the formula is:
if the formula is satisfied, the day is the day, otherwise, the night is the night；
And (3) carrying out cloud layer judgment on the potential fire point groups judged to be in the daytime, wherein the judgment formula is as follows: (ρ)0.64+ρ0.86>0.9)or(T12.4<265K)or(ρ0.64+ρ0.86>0.7andT12.4<285K)
If the mark meeting the conditions is a daytime cloud layer, the potential fire point groups are removed, and the groups are updated, wherein rho0.64(15*15)Reflectance values in the 0.64 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86(15*15)Reflectance values in the 0.86 μm band for a 15 × 15 pixel window region centered on the fire; rho0.86Reflectance value in the 0.86 μm band, ρ0.64A reflectance value of 0.64 μm band; t is12.4The brightness temperature value of the wave band of 12.4 mu m.
6. The method for monitoring the fire point near the power grid of the plateau area based on the satellite technology as claimed in claim 1, wherein the specific method of step S6 is as follows:
absolute ignition determination is performed on the potential ignition output in step S5:
if one of the three conditions is met, judging the fire point to be an absolute fire point, and directly outputting a result; otherwise, the fire point is a non-absolute fire point; wherein the content of the first and second substances,
in the formula: t isΔ＝T3.9-T11.2，
Wherein, T3.9The brightness temperature value of the wave band of 3.9 mu m; t is11.2The brightness temperature value of the wave band of 11.2 mu m; z3.9The standard deviation of the brightness temperature value of a wave band of 3.9 mu m; t is△The difference between the brightness temperature values of the fire point pixel at the 3.9 μm waveband and the 11.2 μm waveband; z△The standard deviation of the difference between the brightness temperature values of the 3.9 mu m wave band and the 11.2 mu m wave band; mean is a measure of15*15(T) represents the mean of the 15 x 15 pel window area centered on the fire; std15*15(T) represents the standard deviation of a 15 x 15 pel window area centered on the fire after the center fire is removed; the moment t is the moment when the satellite monitors the mountain fire at present; the time t-1 is the last time when the satellite monitors the mountain fire; t is△tThe difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time t; t is△(t-1)The difference between the brightness temperature values of the 3.9 μm wave band and the 11.2 μm wave band at the time of t-1; t is3.9tThe value is the brightness temperature value of the wave band of 3.9 mu m at the time t; t is3.9(t-1)The brightness temperature value of the wave band of 3.9 mu m at the time of t-1; t is11Taking 320K; t is12Taking 25K; t is21Taking 290K; t is22Taking 5K; z21Taking 3 in the day and 2 in the night; z22Taking 3.5 in daytime and 2.5 at night; t is31Taking 300K; t is32Taking 7K; t is33Taking 2K; t is34Taking 2K;
step S62: and (4) superposing the longitude and latitude of the absolute fire point output in the step (S61) into a power grid GIS system, judging whether the absolute fire point is within a range of 2km of a power transmission line channel by using an Euclidean formula, and if the absolute fire point is within the range of 2km, outputting the line name, the pole tower number, the vegetation type and the distance information from the absolute fire point, which are influenced by the absolute fire point.
7. Plateau district electric wire netting vicinity fire monitoring devices based on satellite technology, its characterized in that includes:
the data acquisition module is used for acquiring the satellite images after geometric correction and image registration, cutting the target area, traversing and extracting the reflectivity and the brightness temperature value of each grid in the image, and creating an array containing the reflectivity and the brightness temperature value;
the absolute fire point distinguishing module is used for distinguishing potential fire points of the obtained array in the satellite image of the target area, marking and storing the array meeting the threshold distinguishing condition and obtaining the potential fire point array;
the coverage type judging module is used for judging the coverage types of the marked potential fire points in the array one by one, primarily screening the potential fire points and updating the potential fire point array;
the cloud layer judgment module is used for judging whether the position of the potential fire point is caused by the high reflectivity of the cloud layer according to the reflectivity and the brightness temperature value data in the updated potential fire point array, removing the potential fire point data caused by the high reflectivity of the cloud layer and further updating the potential fire point array;
the fixed heat source removing module is used for judging whether the updated potential fire point groups are fixed heat sources or not by utilizing the Euclidean distance corresponding to the fixed heat source database, if so, removing the potential fire points marked as the fixed heat sources in the potential fire point groups, and updating the groups again;
and the output result module is used for judging the updated data of the potential fire point groups one by utilizing three absolute fire point threshold judgment formulas, judging the potential fire point groups as absolute fire points if one of three judgment conditions is met, then superposing the absolute fire point positions into a power grid GIS system, and outputting fire point information in a range of 2km of a power transmission line channel corridor to operation and maintenance personnel.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for monitoring ignition on nearby grids in a plateau region based on satellite technology as claimed in any one of claims 1 to 6.
9. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for monitoring fire in the vicinity of a power grid in a plateau region based on satellite technology according to any one of claims 1 to 6.
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