Mountain fire risk grade determination method and device, equipment and storage medium

Abstract

The invention provides a forest fire risk grade determination method, device and equipment and a storage medium, and the method comprises the steps: determining a preliminary forest fire risk grade of a target region according to the rainfall information and latitude and longitude information of the target region; dividing the target area into a plurality of sub-areas according to the object type of the target object in the target area; and according to the object types corresponding to the plurality of sub-regions and preset forest fire risk levels corresponding to the object types, adjusting the initial forest fire risk level to obtain a target forest fire risk level of the target region. Therefore, reasonable determination of the forest fire risk level is realized, the effectiveness of the forest fire risk level based on subsequent forest fire prevention and control operation is improved, the prevention and control effectiveness of forest fire hidden dangers is further improved, and safe and stable operation of a power transmission line is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission lines, and in particular to a method, device, equipment and storage medium for determining a wildfire risk level. Background Art

[0002] As an important part of the power system, the safe operation of transmission lines directly affects the stability and reliability of the power system. Wildfire disasters are one of the important factors that endanger the safe operation of transmission lines. With the continuous construction of transmission lines and ultra-high voltage lines, transmission lines have passed through mountainous areas, hills and other areas prone to wildfires. Wildfire disasters have the characteristics of wide spread, long burning time, high burning intensity and complex fire, which can easily cause transmission lines to trip, posing a serious threat to the safe and stable operation of the power grid.

[0003] Therefore, it is urgent to propose a set of assessment schemes for the wildfire risk levels of transmission lines, so that targeted wildfire prevention and control operations can be carried out based on the wildfire risk levels in the future, thereby reducing wildfire hazards and ensuring the safe and stable operation of transmission lines. Summary of the invention

[0004] In view of this, in order to at least achieve a reasonable determination of the wildfire risk level, so as to improve the effectiveness of the wildfire risk level on which subsequent wildfire prevention and control operations are based, and further improve the effectiveness of prevention and control of wildfire hazards, so as to ensure the safe and stable operation of transmission lines, the present invention provides a wildfire risk level determination method, device, equipment and storage medium.

[0005] A first aspect of the present invention provides a method for determining a wildfire risk level, the method comprising:

[0006] Determine the preliminary wildfire risk level of the target area based on the precipitation information and latitude and longitude information of the target area;

[0007] Divide the target area into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and each sub-area has only one object type of target object;

[0008] The preliminary wildfire risk level is adjusted according to the object types corresponding to each of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type to obtain a target wildfire risk level of the target area.

[0009] A second aspect of the present invention provides a device for determining a wildfire risk level, the device comprising:

[0010] A determination module is configured to: determine a preliminary wildfire risk level of the target area according to precipitation information and latitude and longitude information of the target area;

[0011] The division module is configured to: divide the target area into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and there is only one object type of target object in each sub-area;

[0012] The adjustment module is configured to adjust the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types, so as to obtain the target wildfire risk level of the target area.

[0013] The third aspect of the present invention provides an electronic device, including a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor is used to execute the machine executable instructions to implement the method for determining the wildfire risk level provided in the first aspect above.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining the wildfire risk level provided in the first aspect above.

[0015] Compared with the prior art, the present invention has at least the following beneficial effects:

[0016] The method, device, equipment and storage medium for determining the wildfire risk level provided by the embodiment of the present invention first determine the preliminary wildfire risk level of the target area based on the climate conditions and geographical characteristics of the target area - precipitation information and longitude and latitude information; then, according to the object type of the target object existing in the target area, the target area is divided into multiple sub-areas each of which has only one type of target object, and then the preliminary wildfire risk level is adjusted according to the object type of each of the multiple sub-areas and the corresponding preset wildfire risk level to obtain the target wildfire risk level of the target area. Thus, the wildfire risk level of the target area is determined in combination with the climate conditions and geographical characteristics of the target area, as well as the object type of the target object existing in the target area (farmland, construction site, water area, vegetation and transmission line), so that the target wildfire risk level finally determined is more in line with the actual wildfire risk level of the target area, has more practical reference significance, is conducive to improving the effectiveness of subsequent wildfire prevention and control operations based on the target wildfire risk level, and can better ensure the safe and stable operation of the transmission line.

[0017] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of a method for determining a wildfire risk level according to an exemplary embodiment of the present invention;

[0019] Figure 2 is a structural block diagram of a device for determining a wildfire risk level according to an exemplary embodiment of the present invention;

[0020] Figure 3 It is a hardware structure diagram of an electronic device in which a wildfire risk level determination device is located according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0021] Here, the exemplary embodiments will be described in detail, and the examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. Moreover, the implementations described in the following exemplary embodiments do not limit the present invention, and the structural, methodological, or functional changes made by ordinary technicians in the field according to these implementations are all included in the protection scope of the present invention.

[0022] The terms used in the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms "a", "the" and "the" used in the present invention and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0023] It should be understood that although the terms first, second, third, etc. may be used in the present invention to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0024] In order to at least solve the technical problem that the related art lacks a technical solution to reasonably determine the wildfire risk level of the transmission line, and cannot provide an effective reference for wildfire prevention and control operations, thereby affecting the safe and stable operation of the transmission line, the embodiment of the present invention provides a method for determining the wildfire risk level. The basic inventive concept is: by first determining the preliminary wildfire risk level of the target area based on the climate conditions and geographical characteristics of the target area, namely precipitation information and longitude and latitude information; then, according to the object type of the target object existing in the target area, dividing the target area into multiple sub-areas, each of which has only one object type of target object; and then adjusting the preliminary wildfire risk level according to the object types of the multiple sub-areas and the corresponding preset wildfire risk levels to obtain the target wildfire risk level of the target area. Therefore, the wildfire risk level of the target area is determined in combination with the climate conditions and geographical characteristics of the target area, as well as the object types of target objects in the target area (farmland, construction sites, waters, vegetation and transmission lines). This makes the final target wildfire risk level more closely related to the actual wildfire risk level of the target area, and more meaningful for reference. It is conducive to improving the effectiveness of subsequent wildfire prevention and control operations based on the target wildfire risk level, and can better ensure the safe and stable operation of transmission lines.

[0025] The following is a more specific description of the method for determining the wildfire risk level according to an embodiment of the present invention, but the present invention should not be limited thereto.

[0026] The method for determining the wildfire risk level provided in the embodiment of the present invention can be applied to a video surveillance device, which can be deployed in a power scenario to monitor the target area where the transmission line is located, so as to accurately determine the wildfire risk level of the transmission line in the target area. The video surveillance device can be an image acquisition device where the transmission line is laid, or a remote sensing drone that cruises at regular intervals and is equipped with an image acquisition device.

[0027] Of course, the method for determining the wildfire risk level provided in the embodiment of the present invention can also be applied to a monitoring center that is separated from the video surveillance equipment but has a communication connection. The monitoring center can receive image data sent by the video surveillance equipment and obtain the wildfire risk level of the target area by executing the method for determining the wildfire risk level provided in the embodiment of the present invention, that is, obtain the wildfire risk level of the transmission line in the target area.

[0028] See also Figure 1 , Figure 1 : is a flow chart of a method for determining a wildfire risk level according to an exemplary embodiment of the present invention; the method for determining a wildfire risk level comprises:

[0029] In step S100, a preliminary wildfire risk level of the target area is determined according to the precipitation information and the longitude and latitude information of the target area;

[0030] In step S200, the target area is divided into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and each sub-area has only one object type of target object;

[0031] In step S300, the preliminary wildfire risk level is adjusted according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types to obtain the target wildfire risk level of the target area.

[0032] In a scenario where it is necessary to determine the wildfire risk level of a target area where a transmission line is deployed, the geographic location information of the target area can be recorded in advance. For example, the target area can be: a rectangular area formed by translating each side of the minimum circumscribed rectangle surrounding the transmission line outward by a first set expansion distance, or a circular area formed with the center of the minimum circumscribed rectangle of the transmission line as the center and the second set expansion distance as the radius, but not limited to this. The target area can also be an area of ​​other shapes, as long as it can include the area where the transmission line is located and the area that can affect the wildfire risk of the transmission line. In addition, the first set expansion distance and the second set expansion distance can be set based on actual experience or experiments. For example, the area where the transmission line is located can be investigated, and / or historical data on wildfires in the area where the transmission line is located can be used to set reasonable first set expansion distances and second set expansion distances.

[0033] It should be understood that since transmission lines are generally very long, the parts of them that are at risk of wildfires are generally located in mountainous areas, hills or other related wildfire-prone areas. Therefore, in order to reduce the amount of data that needs to be processed and improve the accuracy of the determined wildfire risk level, the above-mentioned minimum enclosing rectangle may refer to the minimum enclosing rectangle of part of the transmission line section that is located in the wildfire-prone area, while the wildfire risk level of the part of the transmission line that is not located in the wildfire-prone area may not be determined.

[0034] After the target area is delineated by any of the above embodiments, the latitude and longitude information of the target area can be obtained by deploying the GPS positioning system or Beidou positioning system of the video surveillance equipment in the target area, wherein the video surveillance equipment can be installed on the support pole on the transmission line. In addition, the latitude and longitude information of the target area can also be obtained based on a high-definition map that already carries the latitude and longitude information.

[0035] Similarly, the precipitation information of the target area can be obtained through the climate sensor provided by the above-mentioned video surveillance equipment, and the climate sensor can be a seven-dimensional micro-meteorological sensor. For example, the wind speed value of the target area can be obtained through a wind speed sensor, the wind direction of the target area can be obtained through a wind direction sensor, the rainfall of the target area can be obtained through a rain sensor, the temperature of the target area can be obtained through a temperature sensor, the air humidity of the target area can be obtained through a humidity sensor, the air pressure of the target area can be obtained through an air pressure sensor, and the solar radiation intensity value of the target area can be obtained through a light radiation sensor. Among them, the current precipitation information of the target area can be the rainfall value detected by the rain sensor.

[0036] In addition, if it is necessary to predict the wildfire risk level of the target area in the future time period, so that wildfire prevention measures can be deployed in advance based on the predicted wildfire risk level in advance, the precipitation prediction model in the relevant technology can be used to predict the future precipitation of the target area in the future time period based on the above wind speed value, wind direction, rainfall, temperature, air humidity, air pressure and solar radiation intensity value. Based on this, the future precipitation can be used as the precipitation information in step S100, and the above steps S100 to S300 are executed to obtain the target wildfire risk level of the transmission line in the future time period, and send it to the terminal device held by the relevant personnel, so that the relevant personnel can prepare wildfire prevention measures in advance. In addition to using the precipitation prediction model to predict future precipitation, the future precipitation of the target area can also be obtained from a weather forecast center with high confidence.

[0037] Thus, the precipitation information and longitude and latitude information of the target area can be obtained by any of the above methods. After obtaining this information, step S100 can be executed to determine the preliminary wildfire risk level of the target area based on the precipitation information and longitude and latitude information of the target area. In this regard, the solution of the relevant technology can be adopted to determine the preliminary wildfire risk level of the target area based on the precipitation information and longitude and latitude information. For example, the precipitation of the target area within 24 hours before the current time (referred to as "the past 24 hours"), whether the current time is in the peak period of wildfires, and the hotspot density of the target area can be combined. The three dimensions can be used to obtain the corresponding table from the existing wildfire risk forecast classification table for power transmission lines during the peak period of wildfires and the existing non-high-incidence period of wildfires. See Table 1 and Table 2 below, and the corresponding wildfire risk level can be obtained from the table based on the two information of precipitation and whether it is a hotspot density area, that is, the preliminary wildfire risk level can be obtained.

[0038] Table 1 Ranking table of transmission line wildfire risk forecast during wildfire peak period

[0039]

[0040] Table 2 Ranking table of transmission line wildfire risk forecast during non-wildfire high-incidence period

[0041]

[0042] In Table 1 and Table 2, the meanings of each wildfire risk level are:

[0043] Level 0 (white): indicates that wildfires will not occur and there is no risk of transmission lines tripping due to wildfires;

[0044] I (blue): indicates that sporadic wildfires may occur, and the risk of transmission line tripping due to wildfires is low;

[0045] II (yellow): indicates that sporadic wildfires are likely to occur, but will not form large-scale wildfires, and the risk of power line tripping due to wildfires is low;

[0046] Level III (orange): indicates that a large-scale wildfire may occur and the risk of power line tripping due to wildfire is high;

[0047] Level IV (red): Indicates that large-scale wildfires are prone to occur and the risk of power line tripping due to wildfires is high.

[0048] In Table 1 and Table 2, the meanings of different levels of precipitation are:

[0049] No precipitation: indicates that the total precipitation in the target area in the past 24 hours is 0 mm;

[0050] Low precipitation: indicates that the total precipitation in the target area in the past 24 hours is greater than 0 mm and less than 25 mm;

[0051] Heavy precipitation: indicates that the total precipitation in the target area in the past 24 hours is not less than 25 mm.

[0052] In addition, the hotspot density of the target area can be understood based on the definitions of high, medium and low regional hotspot densities in the relevant technology, which will not be elaborated in the embodiments of the present invention.

[0053] In addition to the above-mentioned scheme for determining the preliminary wildfire risk level, in other embodiments, the preliminary wildfire risk level can be determined based on the above-mentioned scheme by further combining human activity factors, such as the flow of people, whether it is currently a holiday, etc. The specific scheme can be referred to in the relevant technology, which is not elaborated in the embodiments of the present invention.

[0054] After determining the preliminary wildfire risk level of the target area through any of the above embodiments, step S200 can be executed to further obtain other factors that affect the wildfire risk, that is, the target area can be divided into multiple sub-areas according to the object type of the target object in the target area; for example, the image of the target area can be obtained through video monitoring equipment, and then the image of the target area can be processed by using an image segmentation algorithm and an image recognition algorithm to extract the area where the target object in the target area is located. For example, if there are farmlands, construction sites, water areas, and vegetation in the target area, the edges of the farmland areas, the edges of the construction sites, the edges of the water areas, and the edges of the vegetation in the target area are extracted to form multiple sub-areas without extracting invalid objects in the target area, such as the sky and poles, but not limited to this, the target objects and invalid objects can be set according to actual conditions. Then, an image recognition algorithm is used to identify the object type in each sub-area, thereby dividing the target area into multiple sub-areas, and each sub-area has only one type of target object. For example, assuming that the target area includes sub-areas 1 to 4, the target object in sub-area 1 is only one of farmland, construction site, water area or vegetation, and the same applies to sub-areas 2 to 4. It should be understood that since the present invention is a scheme for evaluating the wildfire risk level of transmission lines, generally speaking, the target area will include transmission lines. However, if the monitoring range of the video surveillance equipment is set to the area other than the transmission line in the target area when it is deployed, then the target area may not include the transmission line. At this time, the main focus is on the impact of the area other than the transmission line in the target area on the wildfire risk of the transmission line.

[0055] In the above, the trained neural network model can also be used to process the image of the target area to divide the target area into multiple sub-areas according to the object type. In addition, the image of the target area can be displayed to the terminal held by the relevant personnel, and then the relevant personnel can circle the areas where different target objects are located in the image. In this way, there is no need to use image segmentation algorithms and image recognition algorithms, nor is there a need to use neural network models.

[0056] After the target area is divided into multiple sub-areas by any of the above embodiments, the sub-areas can be associated with and recorded with their corresponding object types. Then, step S300 can be executed to adjust the preliminary wildfire risk level according to the object types of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type, thereby obtaining the target wildfire risk level of the target area. In this regard, in some embodiments, the preset wildfire risk level can be adjusted based on the quantity. For example, assuming that the multiple sub-areas are sub-areas 1 to 8, where sub-areas 1, 3 and 5 are vegetation areas, sub-areas 2 and 4 are farmland areas, sub-areas 6 and 8 are construction sites, and sub-area 7 is a water area, it can be seen that the vegetation area is the most, so it can be considered that the biggest influencing factor of the wildfire risk level of the target area is the vegetation area, and the risk of fire in the vegetation area is extremely high, and once a fire occurs, it will be more likely to spread to the area where the transmission line is located, thereby seriously affecting the safe use of the transmission line. Therefore, at this time, the preliminary wildfire risk level can be adjusted according to the object type of the sub-area with the largest number. Based on the above example, the object type of the sub-area with the largest number is the vegetation area, and its corresponding wildfire risk level must be relatively high. Therefore, the preliminary wildfire risk level can be increased to obtain the target wildfire risk level. For example, assuming that the wildfire risk level corresponding to the vegetation area is Level IV (red), and the preliminary wildfire risk level is I (blue), the preliminary wildfire risk level can be adjusted to a level between Level IV (red) and I (blue) - Level III (orange). At this time, the target wildfire risk level obtained is Level III (orange).

[0057] Although the above scheme of adjusting the preliminary wildfire risk level based on quantity can also obtain a relatively reasonable target wildfire risk level, it is possible that although there are many sub-areas of a certain object type, the total area of ​​these sub-areas may be less than half of the area of ​​the sub-areas of another object type or even smaller. In this case, the object type corresponding to the sub-area with a larger area has a greater impact on the wildfire risk level of the target area. Therefore, in order to further improve the accuracy of the target wildfire risk level, in other embodiments, the embodiments of the present invention provide another adjustment scheme for the preliminary wildfire risk level, that is, in the above step S300, according to the object types corresponding to each of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type, the step of adjusting the preliminary wildfire risk level may include:

[0058] In step S310, the sum of the areas of the sub-regions corresponding to the same object type is calculated to obtain the area of ​​each object sub-region corresponding to different object types;

[0059] In step S320, the area ratio between each object sub-region and the target region is calculated respectively;

[0060] In step S330, the preliminary wildfire risk level is adjusted according to the area proportion corresponding to each object sub-region.

[0061] As for step S310, it can be understood that the areas of the sub-regions corresponding to the same object type are summed to obtain the area of ​​the region corresponding to each object type and the area of ​​each object sub-region of different object types. For example, assuming that there are 1 to 4 sub-regions, where the target objects in sub-regions 1 and 2 are both vegetation, then the total area of ​​the vegetation region is the sum of the areas of sub-regions 1 and 2, and sub-regions 1 and 2 are one object sub-region.

[0062] After the area of ​​each object sub-region is calculated in step S310, step S320 may be executed to calculate the ratio of the area of ​​each object sub-region to the area of ​​the target region.

[0063] Of course, the calculation method of step S310 and step S320 can also be replaced by the following: for each sub-region, the area ratio of the sub-region to the target region is calculated, and then the area ratios of the sub-regions corresponding to the same object type are added together, so that the area ratio between each object sub-region and the target region can also be obtained.

[0064] After obtaining the area ratio between each object sub-region and the target region, step S330 may be executed to adjust the preliminary wildfire risk level according to the area ratio corresponding to each object sub-region.

[0065] In this regard, the embodiment of the present invention proposes multiple implementation methods for the implementation of step S330, as follows:

[0066] The first implementation method:

[0067] In the above step S330, the step of adjusting the preliminary wildfire risk level according to the area proportion corresponding to each object sub-region may include:

[0068] Step S3310: adjusting the preliminary wildfire risk level to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion.

[0069] It can be understood that the object sub-region with the largest area ratio has the greatest impact on the wildfire risk of the target area. Therefore, the wildfire risk level corresponding to the object type of the object sub-region with the largest area ratio can be used to replace the preliminary wildfire risk level, thereby obtaining the target wildfire risk level of the target area. Among them, the wildfire risk levels corresponding to different object types can be obtained through experience or experiments, and the embodiment of the present invention is not limited to this. Based on this, before executing the wildfire risk level determination method provided by the present invention, the correspondence between different object types and wildfire risk levels can be stored first, so that when executing step S3310, it can be called to obtain the wildfire risk level corresponding to the target object with the largest area ratio.

[0070] The second implementation method:

[0071] Although the accuracy of the target wildfire risk level can be improved by the first implementation method, there may be a situation where the area ratio of each object sub-region is relatively small. In this way, even the object sub-region with the largest area ratio may not actually have such a large impact on the wildfire risk of the target area due to its small area ratio. This may lead to inaccurate target wildfire risk level finally determined. Therefore, in order to solve this technical problem and further ensure the accuracy of the target wildfire risk level, the second implementation method can be adopted, namely:

[0072] The above step S3310 is adjusted to be executed when the maximum area ratio is greater than the set ratio threshold; accordingly, in the above step S330, the step of adjusting the preliminary wildfire risk level according to the area ratio corresponding to each object sub-area can be adjusted to include:

[0073] In step S3321, when the largest area proportion is greater than the set proportion threshold, the preliminary wildfire risk level is adjusted to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion;

[0074] In step S3322, when the maximum area proportion is less than or equal to the proportion threshold, for each object sub-area, the product of the area proportion of the object sub-area and the numerical value corresponding to the corresponding wildfire risk level is calculated; and based on the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, the wildfire risk level corresponding to the weighted sum value is determined from the pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

[0075] The percentage threshold mentioned above can be set based on experience or experiments, for example, set to 40%. Based on this, for the object sub-region with the largest area percentage, if the area percentage of the object sub-region is greater than 40%, step S3321 is executed. At this time, the preliminary wildfire risk level is replaced by the wildfire risk level corresponding to the object type of the object sub-region with the largest area percentage, and the target wildfire risk level is obtained.

[0076] When the area proportion of the object sub-region is not greater than 40%, that is, less than or equal to the above-mentioned proportion threshold, step S3322 is executed to calculate the product of the area proportion of the object sub-region and the wildfire risk level value corresponding to the object type in the object sub-region for each object sub-region, wherein the mapping relationship between the wildfire risk levels corresponding to different objects and the mapping relationship between the numerical ranges corresponding to different wildfire risk levels can be pre-stored. For example, taking an object type as an example, assuming that the wildfire risk level corresponding to the vegetation area is level IV (red), and the numerical range assigned to level IV (red) is (80, 100], based on this, the numerical value of the wildfire risk level corresponding to the vegetation can be the maximum value 100 in the numerical range, or the median value 90 of the numerical range, but is not limited to this. It should be understood that the configuration of the numerical ranges of different wildfire risk levels can be set according to actual calculation requirements or experience, so as to facilitate the conversion of the preliminary wildfire risk level and the wildfire risk level of the object sub-region into corresponding numerical values, and perform fusion calculation to obtain the corresponding target wildfire risk level.

[0077] After the product corresponding to each object sub-area is calculated by step S3322, the sum of the products of all object sub-areas is further calculated, and then the sum of the products and the value corresponding to the preliminary wildfire risk level are weighted and processed to obtain a weighted sum value, that is, the area proportion and wildfire risk level of all target objects in the target area are integrated, and the preliminary wildfire risk level used to characterize the overall wildfire risk of the target area is processed, thereby considering the overall characteristics and local characteristics of the target area to achieve a more accurate determination of the target wildfire risk level of the target area. In the weighted sum processing, the sum of the products of all object sub-areas C 1 The first weight a assigned can be greater than the value C corresponding to the preliminary wildfire risk level 0 The second weight b assigned, for example, the first weight a can be set to 0.7, the second weight b can be set to 0.3, but is not limited thereto. Thus, the value C corresponding to the target wildfire risk level (i.e., the weighted sum value in step S3322) = a×C 1 +b×C 0Next, the target numerical range to which the numerical value C corresponding to the target wildfire risk level belongs can be found from the mapping relationship between the numerical ranges corresponding to the different pre-stored wildfire risk levels, and then the wildfire risk level corresponding to the target numerical range is used as the target wildfire risk level.

[0078] The third implementation method:

[0079] Although the second implementation method described above can well improve the accuracy of the target wildfire risk level, in the second implementation method, only when the maximum area proportion is less than or equal to the proportion threshold, the wildfire risk level of each object sub-area and the preliminary wildfire risk level are considered to obtain the target wildfire risk level. When the maximum area proportion is greater than the proportion threshold, only the wildfire risk level of the object sub-area with the largest area proportion is considered to obtain the target wildfire risk level. It can be seen that in this case, the determination of the target wildfire risk level does not take into account the integrity and locality of the target area, which may cause the accuracy of the target wildfire risk level to be affected in certain cases. Therefore, in order to solve this technical problem, in the third implementation method proposed by the present invention, there is no need to distinguish between the cases where the maximum area proportion is greater than the proportion threshold and the cases where it is not greater than the proportion threshold. Instead, the overall characteristics and local characteristics are mainly used to adjust the preliminary wildfire risk level to obtain the target wildfire risk level. That is:

[0080] In the above step S330, the step of adjusting the preliminary wildfire risk level according to the area proportion corresponding to each object sub-region can be adjusted to include:

[0081] In step S3331, for each object sub-region, the product of the area ratio of the object sub-region and the value corresponding to the corresponding wildfire risk level is calculated;

[0082] In step S3332, based on the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, the wildfire risk level corresponding to the weighted sum is determined from a pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

[0083] For the calculation principle of the product in the above step S3331, please refer to the relevant record above about the product between the area ratio of the object sub-area and the corresponding value of the corresponding wildfire risk level in step S3322, which will not be repeated here.

[0084] Similarly, the technical principle of obtaining the target wildfire risk level of the target area in the above step S3332 can also be found in the above relevant records about obtaining the target wildfire risk level of the target area in step S3322, which will not be repeated here.

[0085] It can be seen that in the third implementation, after calculating the product corresponding to each object sub-area, the sum of the products of all object sub-areas will be further calculated, and then the sum of the products and the numerical value corresponding to the preliminary wildfire risk level will be weighted and processed to obtain a weighted sum value, that is, a fusion of the area proportions and wildfire risk levels of all target objects in the target area, and the preliminary wildfire risk level used to characterize the overall wildfire risk of the target area, so as to take into account both the overall and local characteristics of the target area, thereby improving the accuracy of the target wildfire risk level determined for the target area.

[0086] It can be seen that, through any of the above-mentioned implementation methods of adjusting the preliminary wildfire risk level, the accuracy of the target wildfire risk level can be ensured to a certain extent, so that the target wildfire risk level has practical reference significance. However, in other implementation methods, the basis for determining the target wildfire risk level can also be focused on the areas affected by the transmission lines, for example, areas relatively close to the transmission lines, because once a wildfire occurs in these areas, it will spread to the transmission lines in a moment, and it can be seen that the threat posed to the transmission lines is even greater. Therefore, for this scenario, an embodiment of the present invention also provides another adjustment scheme for the preliminary wildfire risk level, that is, in the above-mentioned step S300, according to the object types corresponding to each of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type, the step of adjusting the preliminary wildfire risk level can be adjusted to include:

[0087] In step S3100, a key sub-region whose distance to the sub-region where the power transmission line is located is within a set distance threshold is obtained from the multiple sub-regions;

[0088] In step S3200, the sum of the areas of the key sub-regions corresponding to the same object type is calculated to obtain the area of ​​each target sub-region corresponding to different object types;

[0089] In step S3300, the area ratio of each target sub-region to the sum of the areas of all key sub-regions is calculated;

[0090] In step S3400, the preliminary wildfire risk level is adjusted according to the area proportion corresponding to each target sub-area.

[0091] After the target area is divided into multiple sub-areas by step S200, the preliminary wildfire risk level can be adjusted by steps S3100 to S3400: first, by step S3100, from multiple sub-areas, the key sub-areas that can affect the wildfire situation of the transmission line are taken out. In implementation, the distance factor can be used to measure which sub-areas will affect the wildfire situation of the transmission line, that is, the sub-areas whose distance from the sub-area where the transmission line is located is within the set distance threshold are taken as key sub-areas. The sub-area where the transmission line is located can be determined by the relevant records above, for example, the area formed by the minimum circumscribed rectangle of the transmission line is regarded as the sub-area where the transmission line is located, and for example, the three-dimensional space between the circumscribed rectangle and the vertical projection of the circumscribed rectangle on the ground is regarded as the sub-area where the transmission line is located. When the three-dimensional space is used as the sub-area, the sub-area where the transmission line is located may overlap with the sub-area divided by the ground object. At this time, the distance between the overlapping sub-areas can be considered to be 0. It can be understood that the distance between sub-areas can refer to the shortest distance between sub-areas. In addition, the above-mentioned distance threshold can be obtained based on experiments or experience. For example, the distance threshold can be set based on the maximum distance of fire spread, where the maximum distance of fire spread can take into account weather factors, such as current wind speed, current rainfall, etc., which is not limited in the embodiments of the present invention.

[0092] After obtaining the key sub-regions through step S3100, step S3200 can be executed to calculate the sum of the areas of all key sub-regions corresponding to the same object type, thereby obtaining the area of ​​each target sub-region corresponding to a different object type. For example, assuming that there are key sub-regions 1 to 4, and key sub-regions 1 and 4 correspond to the same object type, then key sub-regions 1 and 4 are a target region 1, and the area of ​​the target region A is the sum of the area of ​​key sub-region 1 and the area of ​​key sub-region 4.

[0093] After the area of ​​each target sub-region is calculated by step S3200, step S3300 may be executed to further calculate the area ratio of each target sub-region to the sum of the areas of all key sub-regions. For example, continuing with the example in step S3200, assuming that the sum of the areas of key sub-regions 1 to 4 is S, and the area of ​​target region A is S A , then the area proportion of the target area A is S A / S, the calculation of the area percentage of other target areas is similar.

[0094] After calculating the area ratio of each target sub-area through step S3300, step S3400 can be executed to adjust the preliminary wildfire risk level according to the area ratio of each target sub-area to obtain the target wildfire risk level. Among them, the implementation scheme for adjusting the preliminary wildfire risk level according to the area ratio of each target sub-area can adopt any one of the first implementation, the second implementation and the third implementation described above, the difference being that the object sub-area is replaced with the target sub-area, so that the preliminary wildfire risk level is adjusted for the key sub-areas that have an impact on the wildfire risk of the transmission line without considering the non-key sub-areas. This not only reduces the computational burden, but also further improves the accuracy of the determined target wildfire risk level, because, assuming that the area ratios of the object sub-areas are respectively : Vegetation 21%, residential buildings 75%, water area 3%. Since the area of ​​residential buildings accounts for 75%, and the area where the residential buildings are located is a non-wildfire prone area, if the target wildfire risk level is determined based on all object sub-areas, then at this time it is very likely that the target wildfire risk level will be determined as the wildfire risk level corresponding to the residential buildings, for example, level 0 (white). However, if in reality, wildfire prone objects, such as areas where vegetation is located, are concentrated near the transmission lines, it is obvious that the area near the transmission lines is not a non-wildfire prone area. It can be seen that the target wildfire risk level at this time is obviously inconsistent with the actual situation. However, by implementing the above steps S3100 to S3400 to determine the target wildfire risk level, the basis for determining the target wildfire risk level can be focused on the area near the transmission line, which is conducive to obtaining a target wildfire risk level that is more in line with the actual situation of the transmission line.

[0095] In addition to the technical solution of obtaining a target wildfire risk level by taking the target area as a whole, in other embodiments, the target wildfire risk level of the target area can also be split into multiple target wildfire risk levels corresponding to the above-mentioned multiple sub-areas one by one, so that relevant personnel can clearly know the target wildfire risk level of each sub-area in the target area, which can facilitate relevant personnel to perform effective wildfire prevention and control operations based on the target wildfire risk level of the sub-area itself in the subsequent process. That is, in some embodiments, in the above-mentioned step S300, according to the object types corresponding to each of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type, the step of adjusting the preliminary wildfire risk level can be adjusted to include:

[0096] In step S3001, the wildfire risk level corresponding to each of the plurality of sub-areas is determined according to the object type corresponding to each of the plurality of sub-areas;

[0097] In step S3002, the preliminary wildfire risk levels of the multiple sub-areas are replaced with the wildfire risk levels corresponding to the multiple sub-areas.

[0098] Therefore, through steps S3001 to S3002, the target wildfire risk level of the target area can be split into the wildfire risk level of each sub-area. That is to say, at this time, a target area is not defined by one target wildfire risk level, but by the wildfire risk level corresponding to each sub-area in the target area. The target wildfire risk level of the target area obtained in this way includes the wildfire risk levels corresponding to the above-mentioned multiple sub-areas.

[0099] In other embodiments, the scheme adopted in the above step S3002 can be replaced by: for each sub-area, calculate the weighted sum of the numerical value corresponding to the wildfire risk level of the sub-area and the numerical value corresponding to the preliminary wildfire risk level, and determine the wildfire risk level corresponding to the weighted sum from the pre-stored mapping relationship to obtain the target wildfire risk level of the sub-area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels. For understanding of this replacement scheme, please refer to the relevant records above, which will not be elaborated here. The target wildfire risk level of the target area obtained in this way still includes the wildfire risk levels corresponding to each of the above-mentioned multiple sub-areas, which is different from the scheme adopted in the above step S3002: in this replacement scheme, the wildfire risk level of each sub-area is determined by integrating the object type corresponding to the sub-area and the preliminary wildfire risk level.

[0100] After obtaining the target wildfire risk level of the target area through any of the above embodiments, the target wildfire risk level of the target area can be displayed on a map including the target area, which can be convenient for relevant users to view; the target wildfire risk level of the target area can also be sent to relevant users by sending information.

[0101] It is worth noting that the embodiments or technical features of the method for determining wildfire risk levels provided by the present invention can be combined with each other to form a new technical solution as long as there is no combination contradiction.

[0102] Corresponding to the above-mentioned embodiment of the method for determining the wildfire risk level, the embodiment of the present invention also provides a wildfire risk level determination device, such as Figure 2 As shown, Figure 2 is a structural block diagram of a wildfire risk level determination device according to an exemplary embodiment of the present invention. The wildfire risk level determination device 200 may include:

[0103] The determination module 210 is configured to: determine the preliminary wildfire risk level of the target area according to the precipitation information and the longitude and latitude information of the target area;

[0104] The division module 220 is configured to: divide the target area into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and each sub-area has only one object type of target object;

[0105] The adjustment module 230 is configured to adjust the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types, so as to obtain the target wildfire risk level of the target area.

[0106] In some embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types is configured as follows:

[0107] Calculating the sum of the areas of the sub-regions corresponding to the same object type to obtain the area of ​​each object sub-region corresponding to different object types;

[0108] Calculate the area ratio between each object sub-region and the target region respectively;

[0109] The preliminary wildfire risk level is adjusted according to the area ratio corresponding to each object sub-area.

[0110] In some embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the area proportion corresponding to each object sub-area is configured as follows:

[0111] The preliminary wildfire risk level is adjusted to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion.

[0112] In some other embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the area proportion corresponding to each object sub-region is adjusted as follows:

[0113] When the largest area proportion is greater than a set proportion threshold, the preliminary wildfire risk level is adjusted to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion;

[0114] When the maximum area proportion is less than or equal to the proportion threshold, for each object sub-area, calculate the product of the area proportion of the object sub-area and the numerical value corresponding to the corresponding wildfire risk level; according to the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, determine the wildfire risk level corresponding to the weighted sum value from the pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

[0115] In some other embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the area proportion corresponding to each object sub-region is adjusted as follows:

[0116] For each object sub-region, calculating the product of the area ratio of the object sub-region and the value corresponding to the corresponding wildfire risk level;

[0117] According to the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, the wildfire risk level corresponding to the weighted sum value is determined from a pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

[0118] In other embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types is configured as follows:

[0119] From the multiple sub-areas, obtain a key sub-area whose distance to the sub-area where the power transmission line is located is within a set distance threshold;

[0120] Calculating the sum of the areas of the focus sub-regions corresponding to the same object type to obtain the area of ​​each target sub-region corresponding to different object types;

[0121] Calculate the area ratio of each target sub-region to the sum of the areas of all key sub-regions;

[0122] The preliminary wildfire risk level is adjusted according to the area ratio corresponding to each target sub-area.

[0123] In some other embodiments, the process of adjusting the preliminary wildfire risk level by the adjustment module 230 according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types is configured as follows:

[0124] Determining the wildfire risk level corresponding to each of the multiple sub-areas according to the object types corresponding to each of the multiple sub-areas;

[0125] The preliminary wildfire risk levels of the multiple sub-areas are replaced with the wildfire risk levels corresponding to each of the multiple sub-areas; or, for each sub-area, a weighted sum of the numerical value corresponding to the wildfire risk level of the sub-area and the numerical value corresponding to the preliminary wildfire risk level is calculated, and the wildfire risk level corresponding to the weighted sum is determined from a pre-stored mapping relationship to obtain a target wildfire risk level for the sub-area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

[0126] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units.

[0127] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0128] Corresponding to the embodiment of the method for determining the wildfire risk level, the present invention further provides an electronic device, the electronic device comprising:

[0129] processor;

[0130] a memory for storing a computer program executable by the processor;

[0131] Wherein, when the processor executes the program, the steps of the method for determining the wildfire risk level in any of the aforementioned method embodiments are implemented.

[0132] The embodiment of the wildfire risk level determination device provided by the present invention can be applied to electronic devices. Taking software implementation as an example, as a device in a logical sense, the processor of the electronic device in which it is located reads the corresponding computer program instructions in the non-volatile memory into the memory and runs them. From the hardware level, if Figure 3 As shown, Figure 3 is a hardware structure diagram of an electronic device where a wildfire risk level determination device is located according to an exemplary embodiment of the present invention, except Figure 3In addition to the processor 310, memory 330, interface 320, and non-volatile memory 340 shown, the electronic device in which the wildfire risk level determination device 200 is located in the embodiment may also include other hardware according to the actual function of the electronic device, which will not be described in detail.

[0133] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the steps of the method for determining the wildfire risk level in any of the aforementioned method embodiments are implemented.

[0134] The present invention may take the form of a computer program product implemented on one or more storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. Computer-readable storage media include permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. The information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer-readable 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, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0135] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A method for determining a wildfire risk level, characterized in that: include: Determine the preliminary wildfire risk level of the target area based on the precipitation information and latitude and longitude information of the target area; Divide the target area into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and each sub-area has only one object type of target object; The preliminary wildfire risk level is adjusted according to the object types corresponding to each of the multiple sub-areas and the preset wildfire risk levels corresponding to each object type to obtain a target wildfire risk level of the target area.

2. The method according to claim 1, characterized in that The step of adjusting the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types includes: Calculating the sum of the areas of the sub-regions corresponding to the same object type to obtain the area of ​​each object sub-region corresponding to different object types; Calculate the area ratio between each object sub-region and the target region respectively; The preliminary wildfire risk level is adjusted according to the area ratio corresponding to each object sub-area.

3. The method according to claim 2, characterized in that The step of adjusting the preliminary wildfire risk level according to the area proportion corresponding to each of the object sub-areas includes: The preliminary wildfire risk level is adjusted to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion.

4. The method according to claim 3, characterized in that The step of adjusting the preliminary wildfire risk level to the wildfire risk level corresponding to the object type of the object sub-region with the largest area proportion is performed when the largest area proportion is greater than a set proportion threshold; The step of adjusting the preliminary wildfire risk level according to the area proportion corresponding to each object sub-area also includes: When the maximum area proportion is less than or equal to the proportion threshold, for each object sub-area, the product of the area proportion of the object sub-area and the value corresponding to the corresponding wildfire risk level is calculated; According to the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, the wildfire risk level corresponding to the weighted sum value is determined from a pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

5. The method according to claim 2, characterized in that: The step of adjusting the preliminary wildfire risk level according to the area proportion corresponding to each object sub-area includes: For each object sub-region, calculating the product of the area ratio of the object sub-region and the value corresponding to the corresponding wildfire risk level; According to the weighted sum of the sum of the products of all object sub-areas and the numerical value corresponding to the preliminary wildfire risk level, the wildfire risk level corresponding to the weighted sum value is determined from a pre-stored mapping relationship to obtain the target wildfire risk level of the target area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

6. The method according to claim 1, characterized in that The step of adjusting the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types includes: From the multiple sub-areas, obtain a key sub-area whose distance to the sub-area where the power transmission line is located is within a set distance threshold; Calculating the sum of the areas of the focus sub-regions corresponding to the same object type to obtain the area of ​​each target sub-region corresponding to different object types; Calculate the area ratio of each target sub-region to the sum of the areas of all key sub-regions; The preliminary wildfire risk level is adjusted according to the area ratio corresponding to each target sub-area.

7. The method according to claim 1, characterized in that The step of adjusting the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types includes: Determining the wildfire risk level corresponding to each of the multiple sub-areas according to the object types corresponding to each of the multiple sub-areas; The preliminary wildfire risk levels of the multiple sub-areas are replaced with the wildfire risk levels corresponding to each of the multiple sub-areas; or, for each sub-area, a weighted sum of the numerical value corresponding to the wildfire risk level of the sub-area and the numerical value corresponding to the preliminary wildfire risk level is calculated, and the wildfire risk level corresponding to the weighted sum is determined from a pre-stored mapping relationship to obtain a target wildfire risk level for the sub-area; wherein the mapping relationship stores the numerical ranges corresponding to different wildfire risk levels.

8. A device for determining a wildfire risk level, characterized in that: The device comprises: A determination module is configured to: determine a preliminary wildfire risk level of the target area according to precipitation information and latitude and longitude information of the target area; The division module is configured to: divide the target area into a plurality of sub-areas according to the object type of the target object in the target area; the object type includes: at least one of farmland, construction site, water area, vegetation, power transmission line, and residential building, and there is only one object type of target object in each sub-area; The adjustment module is configured to adjust the preliminary wildfire risk level according to the object types corresponding to the multiple sub-areas and the preset wildfire risk levels corresponding to the object types, so as to obtain the target wildfire risk level of the target area.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor is used to execute the machine executable instructions to implement the method for determining the wildfire risk level according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for determining a wildfire risk level according to any one of claims 1 to 7 is implemented.

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