Lightning strike fire area positioning method and device, storage medium and electronic equipment

Abstract

The application discloses a lightning stroke fire area positioning method and device, a storage medium and electronic equipment, and belongs to the technical field of computers. The lightning stroke fire area positioning method comprises the following steps: acquiring lightning parameters corresponding to a target lightning stroke, the target lightning stroke has a corresponding lightning stroke point, determining a fire-causing type corresponding to the target lightning stroke based on the lightning parameters, the fire-causing type at least comprises a first fire-causing type and a second fire-causing type, the probability of fire caused by lightning stroke of the first fire-causing type is higher than the probability of fire caused by lightning stroke of the second fire-causing type, performing clustering processing on lightning stroke points corresponding to a plurality of target lightning strokes of the first fire-causing type in a preset period, and determining a target lightning stroke fire area, the target lightning stroke fire area at least covers a lightning stroke point corresponding to a target lightning stroke of the first fire-causing type. The application can identify a lightning stroke fire area with high fire-causing risk, and optimize the use of artificial and automatic prevention and control resources.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to a method, apparatus, storage medium, and electronic device for locating lightning strike fire zones. Background Technology

[0002] Lightning-induced fires are a significant component of natural fire sources, playing a crucial role in the atmospheric material cycle and acting as a major factor impacting ecosystems. According to a research report by the emergency management department, while strengthened fire source control in my country has significantly reduced man-made forest fires, the rate of lightning-induced forest fires has increased accordingly. Simultaneously, the greenhouse effect is leading to a gradual increase in lightning activity, transforming many forest areas from low-lightning-rate areas to high-lightning-rate areas. The future situation regarding lightning-induced forest fires is becoming increasingly severe, making their prevention and control a key focus and challenge in forest fire prevention efforts.

[0003] Currently, some forest farms in my country have partially solved some problems by installing lightning detection networks to monitor lightning strike points and then strengthening observation from lookout towers and other patrol methods based on these points. This approach is particularly effective in smaller forest farms with densely distributed lookout towers, fewer lightning strikes during thunderstorms, and sufficient resources for fire prevention and control. However, in typical large thunderstorms, a large number of lightning strikes occur in forest farms. Due to limited resources, forest farms cannot individually inspect each strike detected by the lightning detection network to ensure no lightning-caused fires occur. Therefore, even with lightning detection networks, large forest farms struggle to achieve effective forest lightning fire prevention. Summary of the Invention

[0004] This application provides a method, device, storage medium, and electronic device for locating lightning-caused fires. These methods can narrow down the protection area requiring observation of lightning-caused fires, identify high-risk lightning-caused fire areas, and optimize the use of manual and automated fire prevention resources. The technical solution is as follows:

[0005] In a first aspect, embodiments of this application provide a method for locating lightning-caused fire zones, including:

[0006] Obtain the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point;

[0007] The fire type corresponding to the target lightning strike is determined based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type.

[0008] Clustering is performed on multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area; wherein the target lightning strike fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type.

[0009] Secondly, embodiments of this application provide a lightning strike fire area location device, the device comprising:

[0010] The acquisition module is used to acquire the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point;

[0011] The determination module is used to determine the fire type corresponding to the target lightning strike based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type.

[0012] The clustering module is used to cluster multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area; wherein the target lightning strike fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type.

[0013] Thirdly, embodiments of this application provide a computer storage medium storing a plurality of instructions adapted for loading by a processor and executing the above-described method steps.

[0014] Fourthly, embodiments of this application provide an electronic device, including: a memory and a processor; wherein the memory stores a computer program adapted to be loaded by the processor and executed the above-described method steps.

[0015] The beneficial effects of the technical solutions provided in some embodiments of this application include at least the following:

[0016] This application embodiment obtains the lightning parameters corresponding to a target lightning strike, wherein the target lightning strike has a corresponding lightning strike point. Based on the lightning parameters, it determines the ignition type corresponding to the target lightning strike, wherein the ignition type includes at least a first ignition type and a second ignition type. The probability of a lightning strike of the first ignition type causing a fire is higher than that of a lightning strike of the second ignition type. Multiple lightning strike points corresponding to multiple target lightning strikes of the first ignition type within a preset time period are clustered to determine the target lightning fire area, wherein the target lightning fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. This application, by identifying the ignition type of each lightning strike and clustering multiple lightning strike points based on the ignition type identification results to determine the corresponding target lightning fire area, narrows the protection range that needs to be observed for lightning-induced fires, identifies high-risk lightning fire areas, and achieves a method for optimizing the use of manual and automated prevention and control resources, thereby effectively preventing forest lightning fires. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of a communication system architecture provided in an embodiment of this application;

[0019] Figure 2 This is a flowchart illustrating a method for locating a lightning-caused fire area according to an embodiment of this application;

[0020] Figure 3 This is another flowchart illustrating a method for locating a lightning-caused fire area provided in an embodiment of this application;

[0021] Figure 4 This is a schematic diagram of lightning strike point coverage provided in an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of the maximum lightning strike point coverage provided in an embodiment of this application;

[0023] Figure 6 This is a schematic diagram of a target lightning strike fire area provided in an embodiment of this application;

[0024] Figure 7 This is a schematic diagram of lightning strike risk estimation provided in an embodiment of this application;

[0025] Figure 8This is a schematic diagram of an observation orientation provided in an embodiment of this application;

[0026] Figure 9 This is a schematic diagram of multi-watchtower observation azimuth conversion provided in an embodiment of this application;

[0027] Figure 10 This is a schematic diagram of merging target lightning-caused fire areas provided in an embodiment of this application;

[0028] Figure 11 This is a schematic diagram of the structure of a lightning strike fire area positioning device provided in an embodiment of this application;

[0029] Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0031] In the following description of the design drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0032] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0033] The present application will now be described in detail with reference to specific embodiments.

[0034] Figure 1 An exemplary system architecture 100 that can be applied to the lightning strike fire area location method of this application is shown.

[0035] like Figure 1As shown, the system architecture 100 may include a lightning monitoring device 101, electronic equipment 102, and a lookout tower 103. The system architecture 100 can be applied to various practical application scenarios. For example, when the system architecture 100 is applied to a forest lightning fire prevention system, the lightning monitoring device 101 may be, but is not limited to, a lightning detector, sensor, or probe used to collect lightning parameters such as the time, location, intensity, and polarity of lightning strikes. The lightning monitoring device 101 can provide lightning parameters to the electronic equipment 102 for calculation. For example, if the lightning monitoring device 101 collects lightning parameters such as the characteristics of lightning clouds and ground, lightning polarity, lightning intensity, and lightning steepness from multiple lightning strikes, then the lightning monitoring device 101 can send the collected lightning parameters to the electronic equipment 102. Electronic device 102 may, but is not limited to, be responsible for receiving multiple lightning parameters from lightning strikes transmitted by lightning monitoring device 101, and then calculating the fire type corresponding to each lightning strike based on the lightning parameters. The fire type includes at least a first fire type and a second fire type, where the probability of a fire caused by a lightning strike of the first fire type is higher than that caused by a lightning strike of the second fire type. For example, electronic device 102 can determine that the 1st, 3rd, and 5th lightning strikes are of the first fire type, and the 2nd and 4th lightning strikes are of the second fire type, based on the lightning strike parameters received from lightning monitoring device 101. Then, electronic device 102 can determine the corresponding lightning-induced fire area based on the different fire types of the lightning strikes, and send the location and other information of the corresponding lightning-induced fire area to watchtower 103. Watchtower 103 may, but is not limited to, be used to focus on observing the corresponding lightning-induced fire area, promptly determine whether a fire has occurred, and prevent the fire from spreading.

[0036] For example, during the process of locating lightning-caused fire areas, electronic device 102 can first receive lightning parameters corresponding to each lightning strike collected by lightning monitoring device 101. Electronic device 102 can calculate the fire type corresponding to each lightning strike based on the lightning parameters using a pre-configured algorithm. Then, it can perform clustering processing on multiple lightning strike points corresponding to the first fire type within a preset time period to determine a clear lightning-caused fire area. Finally, electronic device 102 can send information such as the location or level estimate of the lightning-caused fire area to lookout tower 103. This helps to optimize the use of manual and automated prevention and control resources, thereby achieving the goal of effectively preventing forest lightning-caused fires.

[0037] The lightning monitoring device 101 can be either hardware or software. When the lightning monitoring device 101 is hardware, it can be any device capable of collecting lightning parameters, including but not limited to lightning detectors, sensors, weather detectors, or probes. The lightning monitoring device 101 can send data such as lightning strike parameters to the electronic device 102. When the lightning monitoring device 101 is software, it can be implemented as multiple software programs or software modules (e.g., to provide distributed processing services) or as a single software program or software module; no specific limitation is made here.

[0038] Electronic device 102 can be either hardware or software. When electronic device 102 is hardware, it can be various devices with lightning strike fire area positioning capabilities, including but not limited to smartphones, tablets, laptops, and desktop computers. When electronic device 102 is software, it can be implemented as multiple software programs or software modules (e.g., to provide distributed processing services) or as a single software program or software module; no specific limitation is made here.

[0039] The watchtower 103 can be either hardware or software. When the watchtower 103 is hardware, it can be various monitoring devices with information acquisition and analysis capabilities. The watchtower 103 can receive data such as lightning strike fire areas reported by electronic devices 102. When the watchtower 103 is software, it can be implemented as multiple software programs or software modules (e.g., to provide distributed storage services), or it can be implemented as a single software program or software module; no specific limitation is made here.

[0040] The lightning monitoring device 101 and the electronic device 102, and the electronic device 102 and the watchtower 103 can interact via a network. The network can be used as a medium to provide a communication link between data transmissions. The network can include various types of wired or wireless communication links. For example, wired communication links include optical fibers, twisted pairs, or coaxial cables, and wireless communication links include 3G / 4G / 5G wireless communication links or microwave communication links, etc.

[0041] It should be understood that Figure 1 The number of lightning monitoring devices 101, electronic devices 102, and watchtowers 103 shown is merely illustrative. Depending on implementation needs, any number of lightning monitoring devices 101, electronic devices 102, and watchtowers 103 can be used, and all support distributed cluster deployment.

[0042] In the following method embodiments, for ease of explanation, only electronic devices are described as the subjects performing each step.

[0043] The following will be combined with the appendix Figures 2 to 3 This application provides a detailed description of the lightning strike fire area location method provided in its embodiments.

[0044] Please see Figure 2 This diagram illustrates an interactive method for locating lightning-caused fire zones, as provided in this application embodiment. The method may include the following steps:

[0045] S201. Obtain the lightning parameters corresponding to the target lightning strike.

[0046] Specifically, a lightning strike can refer to the phenomenon where an electric current passing through people, livestock, trees, buildings, etc., during a thunderstorm, causes injury or damage. Cloud discharges to the ground pose a significant threat to buildings, electronic and electrical equipment, and people and livestock. Any damage caused to anything can be considered a lightning strike. In recent years, the proportion of major forest fires caused by lightning strikes has been gradually increasing. Lightning strikes can lead to lightning fires, which refer to the ignition of combustibles caused by a lightning strike. The process of a lightning fire in a forest generally includes the following stages: lightning strikes combustibles, smoldering of combustibles, the appearance of open flames, crown fire, etc. A target lightning strike can refer to any lightning strike within a certain time period. Here, "target lightning strike" does not specifically refer to a particular lightning strike or type of lightning strike and is not specifically limited. It can be a lightning strike corresponding to the lightning parameters currently received by electronic equipment, in order to distinguish it from other lightning strikes that have been received or have not yet been received. The target lightning strike has a corresponding lightning strike point, which carries information such as the corresponding location coordinates. For example, an electronic device can determine the coordinates of lightning strike point A as (125, 96) and the coordinates of lightning strike point B as (256, 111), etc. The lightning strike point can refer to the specific location corresponding to the discharge of lightning to the ground. Generally, one lightning strike corresponds to one lightning strike point.

[0047] Lightning parameters can refer to attributes or criteria used to describe the characteristics of a lightning strike, and may include parameters such as lightning current amplitude, lightning current steepness, and impulse overvoltage. In this application, there may be one or more lightning parameters; no specific limitation is made here, and settings can be customized according to specific usage. The electronic device can first acquire the lightning parameters corresponding to the target lightning strike. For example, the electronic device can receive lightning parameters from multiple existing lightning locators placed at different locations, corresponding to two lightning strikes ten minutes prior. The lightning parameters corresponding to lightning strike A include a lightning current amplitude of 100 kA and a lightning current steepness of 50 kA / μs, while the lightning parameters corresponding to lightning strike B include a lightning current steepness of 30 kA / μs and a lightning impulse overvoltage of 1500 V. In one possible embodiment, the electronic device can also directly collect the lightning parameters corresponding to the current lightning strike using its own onboard sensors and other components. The electronic device can also determine the location coordinates of the lightning strike point by analyzing the lightning parameters, which helps the electronic device to acquire lightning parameters flexibly, accurately, and promptly.

[0048] S202. Determine the type of fire caused by the target lightning strike based on the lightning parameters.

[0049] Specifically, the ignition type can refer to the degree of lightning strike causing a fire. The ignition type includes at least a first ignition type and a second ignition type. The probability of a lightning strike of the first ignition type causing a fire is higher than that of a lightning strike of the second ignition type. For example, electronic devices can define a lightning strike with an overvoltage greater than 2KV as the first ignition type and a lightning strike with an overvoltage less than 2KV as the second ignition type, etc. The classification method of ignition type is not specifically limited in this application.

[0050] After acquiring the lightning parameters corresponding to a target lightning strike, the electronic device can determine the ignition type of the target lightning strike based on these parameters. For example, the lightning parameters acquired by the electronic device for lightning strike A include a lightning current amplitude of 100 kA and a lightning current steepness of 50 kA / μs, while the lightning parameters acquired for lightning strike B include a lightning current steepness of 30 kA / μs and a lightning impulse overvoltage of 1500 V. The electronic device can then use a pre-set calculation rule to calculate the corresponding type estimate based on the lightning parameters. This calculation rule is not specifically limited and can be customized according to actual usage. The type estimate can refer to the degree of ignition type corresponding to the lightning strike. The electronic device can calculate the type estimate for lightning strike A as 7 and the type estimate for lightning strike B as 3. Then, it compares the type estimate with a type threshold (e.g., but not limited to a type threshold of 5). If the type estimate is greater than the type threshold, the ignition type corresponding to lightning strike A is identified as the first ignition type; if it is less than the type threshold, the ignition type corresponding to lightning strike B is identified as the second ignition type, and so on.

[0051] S203. Cluster the lightning strike points corresponding to multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area.

[0052] Specifically, after determining the ignition type corresponding to the target lightning strike based on the lightning parameters, the electronic device can determine the corresponding target lightning strike ignition area. The lightning strike ignition area can refer to an area where lightning strike ignition may occur, and can be used for focused observation to determine whether lightning strike ignition will occur. The shape and size of the area are not specifically limited. The target lightning strike ignition area can refer to any existing lightning strike ignition area. Here, the target lightning strike ignition area does not specifically refer to a particular lightning strike ignition area or a specific type of lightning strike ignition area; it is not specifically limited. It can be the lightning strike ignition area corresponding to the lightning parameters currently acquired by the electronic device. To distinguish it from lightning strike ignition areas corresponding to lightning parameters acquired at other times, the target lightning strike ignition area can be one or multiple; this application does not make a specific limitation. The target lightning strike ignition area at least covers one lightning strike point corresponding to the first ignition type of target lightning strike. For example, the electronic device determines that target lightning strike ignition area A includes lightning strike points 1, 3, and 5, and target lightning strike ignition area B includes lightning strike points 2 and 4, etc.

[0053] In one possible embodiment, the electronic device can cluster the lightning strike points corresponding to multiple target lightning strikes of the first ignition type within a preset time period. For example, if there are 10 lightning strikes of the first ignition type between 3 PM and 4 PM, corresponding to 10 lightning strike points, the electronic device can directly receive information such as the location coordinates of the lightning strike points sent by the lightning monitoring device. The coordinates of lightning strike point 1 are (123, 45), the coordinates of lightning strike point 2 are (156, 72), and the coordinates of lightning strike point 3 are (123, 45). (178,117), etc. Then, the electronic device can use clustering algorithms such as K-means clustering, mean-shift clustering, density-based clustering, expectation-maximum clustering with Gaussian mixture model, agglomerative hierarchical clustering, or graph community detection to cluster the coordinates of multiple lightning strike points. Finally, the electronic device can obtain three different target lightning strike fire areas. Target lightning strike fire area A covers lightning strike points 1, 3, 5, and 7; target lightning strike fire area B covers lightning strike points 2, 4, 6, and 8; and target lightning strike fire area C covers lightning strike points 9 and 10, etc.

[0054] Existing technologies require a thorough investigation of potential lightning-caused fires after each lightning strike, necessitating significant manpower and resources. Limited by forestry resources, forest farms cannot individually inspect every lightning strike detected by the lightning location network to ensure no lightning-caused fires occur. Even large forest farms with lightning detection and location networks struggle to achieve effective forest lightning-caused fire prevention. The electronic equipment in this application, after identifying the target lightning-caused fire area, can efficiently and accurately conduct targeted investigations within that area, thereby helping forest farms optimize the use of prevention and control resources and effectively prevent forest lightning-caused fires.

[0055] It should be noted that domestic and international experts believe that the types of combustibles, lightning strikes, lightning activity, topography and vegetation structure, and meteorological conditions are all closely related to the occurrence of lightning fires. Other factors that significantly influence lightning fires include precipitation, summer temperature, wind, and relative humidity. Among these, the types of combustibles, topography and vegetation structure, and meteorological conditions, as well as precipitation, temperature, wind, and humidity, represent large-scale physical parameters in a large forest area. During a thunderstorm, only a very small number of lightning strikes hitting the forest area will lead to a lightning fire. The occurrence of lightning fires is also influenced by individual lightning strike characteristics. Lightning fires are ignited by the thermal effect of cloud-to-ground lightning flow. Therefore, this application argues that the lightning parameters that determine whether an fire can be ignited under the same large-scale physical parameters mainly include the polarity of cloud-to-ground lightning, current intensity (peak current), continuous heat release time, and the number of return strokes.

[0056] Current technologies often simplistically classify lightning fire risks based on varying lightning strike intensities (peak current), assuming that lightning strikes exceeding a certain threshold pose a high risk. However, statistical analysis of lightning information obtained from a large forest farm's lightning fire and lightning location monitoring system during June-August 2018, 2019, and July-October 2020 reveals that lightning strike intensities (measured by peak current) causing lightning fires were distributed across ranges of 5KA-50KA, 50KA-100KA, and above 100KA. There is no strong correlation between lightning fires and their corresponding lightning strike intensities (peak current). Therefore, even with lightning monitoring and location networks, large forest farms often struggle to achieve effective forest lightning fire prevention.

[0057] Forest lightning fires are a complex process. Under similar large-scale physical conditions such as rainfall, vegetation, temperature, and humidity, only a very small number of lightning strikes will cause a lightning fire; the majority will not. Researchers have focused their studies on small-scale, individual lightning strike characteristics. Statistical analysis of lightning fire and lightning location monitoring systems in a large forest farm from June to August 2018, 2019, and July to October 2020 revealed that: the vast majority of lightning fires are caused by cloud-to-ground lightning (cloud-to-ground lightning accounts for less than 5%); the vast majority of lightning fires are caused by negative lightning (positive lightning accounts for less than 5%); and lightning fires often occur in discharges with multiple return strokes. The lightning strike intensity (measured by peak current) causing lightning fires is distributed across the 5KA-50KA, 50KA-100KA, and above 100KA ranges. There is no strong correlation between lightning strike intensity and lightning fire occurrence; an intensity exceeding a certain threshold does not necessarily guarantee a lightning fire. Besides the intensity of the lightning strike, the lightning-induced fire is also related to the continuous heat release time and the number of return strokes. Therefore, the technical solution of this application embodiment does not determine the corresponding lightning-induced fire area based on the simple characteristics of lightning strike intensity.

[0058] As described above, the process involves obtaining lightning parameters corresponding to a target lightning strike, where the target lightning strike has a corresponding strike point. Based on the lightning parameters, the ignition type corresponding to the target lightning strike is determined. The ignition type includes at least a first ignition type and a second ignition type, with the probability of a lightning strike of the first ignition type causing a fire being higher than that of a lightning strike of the second ignition type. Multiple strike points corresponding to the first ignition type within a preset time period are clustered to determine the target lightning fire area. The target lightning fire area covers at least one strike point corresponding to a lightning strike of the first ignition type. This application, by identifying the ignition type of each lightning strike and clustering multiple strike points based on the ignition type identification results to determine the corresponding target lightning fire area, narrows the protection range required to observe lightning-caused fires, identifies high-risk lightning fire areas, and optimizes the use of manual and automated control resources, thereby effectively preventing forest lightning fires.

[0059] Please see Figure 3 This is another interactive schematic diagram illustrating a method for locating lightning-caused fire areas, provided in this application embodiment. The method for locating lightning-caused fire areas may include the following steps:

[0060] S301. Collect multiple lightning strikes within a preset time period before the start of ignition at the ignition point as lightning strike samples, and obtain the lightning sample parameters corresponding to each of the lightning strike samples.

[0061] Specifically, the ignition point can refer to the location where a lightning strike generates a fire. Each lightning strike has a corresponding ignition point, but not every strike generates a fire. The ignition point can also refer to the location where the fire source is discovered. The ignition point has information such as the start time, intermediate time, and end time of the fire. For example, the start time of ignition point A is 13:00, the end time is 15:00, and the intermediate time is the period from 13:00 to 15:00. Lightning strike samples can refer to sample data used for training machine learning models. In one possible embodiment, the electronic device can pre-train a type estimation model and then directly call the trained type estimation model during the prediction process. In this application, S301-S302 describes the training process of the type estimation model. The electronic device can collect multiple lightning strikes within a preset time period before the start time of the ignition point as lightning strike samples. For example, the electronic device can acquire 32 lightning strikes within a preset time period of 12 hours (i.e., 5:00-17:00) before the start time of the fire at 17:00 at ignition point A as lightning strike samples.

[0062] The lightning strike samples have corresponding sample types, which include at least a first igniting lightning strike sample type and a second igniting lightning strike sample type. The distance of the first igniting lightning strike sample type from the ignition point is less than the distance of the second igniting lightning strike sample type from the ignition point. In one possible embodiment, the electronic device can determine the sample type corresponding to the lightning strike sample by a preset distance. The preset distance can refer to distance data used to define the sample type. For example, if the electronic device identifies 5 lightning strike samples and sets the preset distance to 2 kilometers, and then determines that the distances of the 5 lightning strike samples from the ignition point are 1 kilometer, 1.3 kilometers, 1.7 kilometers, 2.5 kilometers, and 3 kilometers, respectively, then the electronic device can determine that the sample type corresponding to lightning strike sample 1, lightning strike sample 2, and lightning strike sample 3 is the first igniting lightning strike sample type, and determine that the sample type corresponding to lightning strike sample 4 and lightning strike sample 5 is the second igniting lightning strike sample type.

[0063] Then, the electronic device can obtain the lightning sample parameters corresponding to each of the lightning strike samples. For example, the electronic device can send a loading request to the lightning monitoring device. The loading request is used to obtain the lightning parameter samples corresponding to the lightning strike samples. The lightning sample parameters corresponding to lightning strike sample A include a lightning current amplitude of 230 kA and a lightning current steepness of 75 kA / μs. The lightning parameters corresponding to lightning strike sample B include a lightning current steepness of 35 kA / μs and a lightning impulse overvoltage of 1906 V.

[0064] S302. The type estimation model is trained based on the lightning sample parameters and the sample types corresponding to the manually labeled lightning strike samples.

[0065] Specifically, the type estimation model can refer to a machine learning model used to predict the type of fire caused by lightning strikes, and the lightning sample parameters can refer to attributes or criteria used to describe the characteristics of lightning strike samples, including parameters such as thunderstorm day, lightning current amplitude, lightning current steepness, and impulse overvoltage. In this application, the lightning sample parameters can be one or more, and no specific limitation is made here. After the electronic device obtains the lightning sample parameters corresponding to each of the lightning strike samples, it can first perform data preprocessing on the lightning sample parameters, such as dummy variable processing, normalization, discretization, missing value handling, chi-square test, and information gain. Then, it uses a logistic regression model to divide the lightning strike sample set into a training set, a test set, and a validation set. For example, if the electronic device determines lightning strike samples 1-100, it can use the lightning sample parameters of samples 1-60 and the manually labeled sample types corresponding to the lightning strike samples as the training set, the lightning sample parameters of samples 61-90 and the manually labeled sample types corresponding to the lightning strike samples as the test set, and the lightning sample parameters of samples 91-100 and the manually labeled sample types corresponding to the lightning strike samples as the validation set, etc. Then, the electronic device can train the untrained type estimation model using the training set, test the type estimation model during the training process using the test set, and validate the trained type estimation model using the validation set, finally obtaining the parameters of the trained type estimation model. This application helps the electronic device to accurately and efficiently train the model by classifying and preprocessing the sample types, thereby improving the stability and robustness of the model.

[0066] S303. Collect lightning parameters corresponding to the target lightning strike through the lightning monitoring system.

[0067] Specifically, in the actual positioning process, the electronic device can first collect the lightning parameters corresponding to the target lightning strike through a lightning monitoring system. The lightning monitoring system can refer to a system composed of lightning monitoring devices used to acquire lightning parameters. The target lightning strike has a corresponding strike point, and the lightning parameters include at least one of the following: lightning cloud-to-ground characteristics, lightning polarity, lightning intensity, lightning steepness, average rise time of the lightning return waveform, average fall time of the lightning return waveform, lightning positioning error, and the number of participating positioning stations. For example, the electronic device receives lightning parameters corresponding to the target lightning strike from the lightning monitoring system, including: lightning cloud-to-ground characteristics are positive ground flash, lightning polarity is positive, lightning intensity is 300 kA, lightning steepness is 45 degrees, average rise time of the lightning return waveform is 10 μs, average fall time of the lightning return waveform is 16 μs, lightning positioning error is 550 meters, and the number of participating positioning stations is 5. Generally, each of these lightning parameters can be different for different lightning strikes.

[0068] S304. Determine the fire type corresponding to the target lightning strike using the pre-trained type estimation model.

[0069] Specifically, the fire-causing type includes at least a first fire-causing type and a second fire-causing type, where the probability of a fire caused by a lightning strike of the first fire-causing type is higher than that of a fire caused by a lightning strike of the second fire-causing type. After the electronic device collects the lightning parameters corresponding to the target lightning strike through the lightning monitoring system, it can determine the fire-causing type corresponding to the target lightning strike through the pre-trained type estimation model. For example, the electronic device determines that the fire-causing type corresponding to target lightning strike A is the first fire-causing type, and the fire-causing type corresponding to target lightning strike B is the second fire-causing type, etc., through the type estimation model.

[0070] S305. Determine the distance between each pair of different lightning strike points, and determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point based on the distance.

[0071] Specifically, after the electronic device determines the ignition type corresponding to the target lightning strike, it can determine the distance between each pair of different lightning strike points. For example, if the electronic device determines that the coordinate information of the three lightning strike points corresponding to the three target lightning strikes of the first ignition type are (10,10), (20,10), and (10,20), then the electronic device can determine that the distance between lightning strike point A and lightning strike point B is 10, the distance between lightning strike point A and lightning strike point C is 10, and the distance between lightning strike point B and lightning strike point C is 14.1, etc. In one possible embodiment, the electronic device can calculate the distance matrix between each pair of lightning strike points. The distance matrix can refer to a representation used to record the distances between each pair of lightning strike points. For example, the distance matrix can be in the form of [0,7,5;7,0,9;5,9,0], where the first row represents the distance between lightning strike point 1 and lightning strike points 1, 2, and 3, the second row represents the distance between lightning strike point 2 and lightning strike points 1, 2, and 3, and the third row represents the distance between lightning strike point 3 and lightning strike points 1, 2, and 3, etc.

[0072] The coverage circle is a circle generated from the lightning strike points with a preset radius. The preset radius can be customized; for example, the electronic device can set the preset radius to 2000 meters. Then, the electronic device can determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point based on the distance. For example, if the electronic device determines that the distance between any two lightning strike points is less than or equal to the preset radius, it determines that each lightning strike point is included in its corresponding coverage circle. The electronic device can determine that the lightning strike point A has a coverage of 5, the lightning strike point B has a coverage of 3, and so on. In one possible embodiment, the electronic device can generate a set of coverage numbers (e.g., but not limited to, an array set such as {(lightning strike point A, 5), (lightning strike point B, 3), ..., (lightning strike point N, 1)}, etc.), which helps to simply and accurately store the number of lightning strike points covered by each lightning strike point. Figure 4 As shown, this represents the number of lightning strike points covered by a coverage circle determined by the same preset radius (e.g., but not limited to 2000 meters) for different lightning strike points. Lightning strike point 1 corresponds to a lightning strike point coverage of 5, lightning strike point 2 corresponds to a lightning strike point coverage of 1, and so on.

[0073] S306. Based on the number of lightning strike points covered by the covering circle corresponding to each lightning strike point, calculate the maximum number of lightning strike points covered between pairs of intersecting lightning strike points of the covering circle.

[0074] Specifically, after determining the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point based on the distance, the electronic device can calculate the maximum number of lightning strike points covered between pairs of intersecting lightning strike points based on the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point. For example, if the electronic device determines that the number of lightning strike points covered by lightning strike point A is 5, the number of lightning strike points covered by lightning strike point B is 3, and the number of lightning strike points covered by lightning strike point C is 4, and lightning strike point A intersects with lightning strike points B and C respectively, the electronic device can determine that the number of lightning strike points covered between lightning strike points A and B can be 8, and the number of lightning strike points covered between lightning strike points A and C can be 9. Then the electronic device can take 9 as the maximum number of lightning strike points covered by lightning strike point A.

[0075] like Figure 5 As shown, the electronic device can first determine the coverage circle corresponding to lightning strike point 1 (e.g., but not limited to a radius of 2000 meters), and then determine other lightning strike points within a preset distance of lightning strike point 1 (e.g., but not limited to twice the preset radius, i.e., 4000 meters, the dotted circle in the figure), such as lightning strike point 2, cumulative single strike 3, and lightning strike point 4. Then, the electronic device determines the number of lightning strike points covered by pairs of intersecting coverage circles. For example, the number of lightning strike points covered by the coverage circle intersecting lightning strike point 1 and lightning strike point 2 is 9, the number of lightning strike points covered by the coverage circle intersecting lightning strike point 1 and lightning strike point 3 is 8, the number of lightning strike points covered by the coverage circle intersecting lightning strike point 1 and lightning strike point 4 is 7, etc. Therefore, the electronic device can determine that lightning strike point 1 and lightning strike point 4 are valid and corresponding lightning strike point pairs, and the maximum corresponding number of lightning strike points covered is 9. The preset radius and preset distance values ​​in this application can be customized according to actual usage and are not specifically limited.

[0076] S307. Determine the target lightning fire area by the maximum number of lightning strike points covered between the lightning strike point pairs.

[0077] Specifically, the target lightning-induced fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. After calculating the maximum number of lightning strike points covered between pairs of intersecting lightning strike point pairs of the coverage circle, the electronic device can determine the target lightning-induced fire area based on this maximum number of lightning strike points covered between the pairs. For example, the electronic device determines the initial set of coverage numbers as {(lightning strike point A, 5), (lightning strike point B, 3), ..., (lightning strike point N, 1)}, and then calculates the maximum set of coverage numbers as {(lightning strike point A, 9), (lightning strike point B, 7), ..., (lightning strike point N, 1)}, etc. The electronic device can then sort the items in the set (e.g., but not limited to sorting from largest to smallest), obtaining the sorted set as {(lightning strike point A, 9), (lightning strike point C, 8), (lightning strike point B, 7), ..., (lightning strike point N, 1)}, etc., and then the electronic device... It can be determined that the maximum number of lightning strike points covered by lightning strike point A is determined by the coverage circles corresponding to lightning strike points A and C. Therefore, other lightning strike points besides lightning strike points A and C can be deleted. That is, the two intersecting coverage circles corresponding to lightning strike points A and C are used to cluster these 9 points as one class. The area of ​​the two intersecting coverage circles corresponding to these 9 points is taken as the target lightning strike fire area A corresponding to the clustering of these 9 points. The area of ​​the two intersecting coverage circles corresponding to lightning strike points E and T is taken as the target lightning strike fire area B corresponding to the clustering of these 6 points, and so on.

[0078] like Figure 6 As shown, the electronic device can first determine that the maximum number of lightning strike points covered by lightning strike point 1 and lightning strike point 2 is 7. Therefore, lightning strike point 1 and lightning strike point 2 are considered a valid and corresponding pair of lightning strike points. The electronic device can then cluster these 7 lightning strike points into the same category, and determine the corresponding target lightning-induced fire area A based on lightning strike point 1 and lightning strike point 2. This electronic device, through a simple and effective clustering method, can accurately and quickly determine suitable target lightning-induced fire areas, thus reducing the number of areas requiring observation while ensuring the appropriate size of the target lightning-induced fire area, thereby improving the effectiveness of observation.

[0079] S308. Based on the number of lightning strike points of the first ignition type in each target lightning-fire area and the lightning parameters, calculate the lightning risk estimate corresponding to each target lightning-fire area, and determine the observation order of each target lightning-fire area according to the lightning risk estimate.

[0080] Specifically, after determining the target lightning-induced fire area, the electronic device can calculate the lightning risk estimate corresponding to each target lightning-induced fire area based on the number of lightning strikes of the first ignition type in each target lightning-induced fire area and the lightning parameters. The calculation method for the lightning risk estimate in this application is not specifically limited and can be customized according to actual usage. For example, the electronic device can use the following formula: To perform calculations, where can be represented as Lightning strike risk estimation: I represents lightning intensity, N represents the number of return strokes, and T... 1 It can represent the average wavefront time of a lightning return stroke waveform, T. 1 The average tail time of the lightning return stroke waveform can be represented, m can represent the number of lightning strike points covered by the target lightning-affected area, n can represent the current lightning strike point, etc. The lightning risk estimate for target lightning-affected area A is 0.9, and the lightning risk estimate for target lightning-affected area B is 0.6, etc. Then, the electronic equipment can determine the observation order of each target lightning-affected area based on the lightning risk estimates. For example, if the electronic equipment determines that the lightning risk estimate for target lightning-affected area A is 0.9, the lightning risk estimate for target lightning-affected area B is 0.6, and the lightning risk estimate for target lightning-affected area C is 0.7, then the electronic equipment can determine that target lightning-affected areas A, B, and C are the first observation order, the third observation order, etc., and the second observation order, respectively.

[0081] like Figure 7 As shown, the electronic equipment can first calculate the lightning strike risk estimate for target lightning-affected fire area A as 0.7, target lightning-affected fire area B as 0.9, target lightning-affected fire area C as 0.3, and target lightning-affected fire area D as 0.5. Then, the electronic equipment can determine that target lightning-affected fire area B should be the first observation priority for the watchtower, target lightning-affected fire area A as the second, target lightning-affected fire area D as the third, and target lightning-affected fire area C as the fourth. This helps improve the efficiency of manual observation and reduces the need for personnel to maintain an unnecessary state of alert for extended periods, which can lead to decreased concentration and even psychological fatigue over time.

[0082] S309. Determine the center point of each target lightning-fired area and the location of the nearest watchtower to each target lightning-fired area, and calculate the observation azimuth of each target lightning-fired area relative to a preset clockwise azimuth based on the center point and the location of the watchtower.

[0083] Specifically, after determining the observation order of each target lightning-caused fire area, the electronic device can determine the center point of each target lightning-caused fire area and the location of the nearest watchtower. For example, the electronic device determines the center point of target lightning-caused fire area A as (125, 97), the center point of target lightning-caused fire area B as (38, 65), etc., and determines the location of watchtower 1, which is closest to both target lightning-caused fire areas A and B, as (75, 83), etc. Then, the electronic device can calculate the observation azimuth of each target lightning-caused fire area relative to a preset clockwise orientation based on the center point and the watchtower location. For example, the electronic device can preset the clockwise orientation as 12 o'clock along the y-axis and 3 o'clock along the x-axis, etc., and then calculate the azimuth using the coordinate information of the corresponding center point and location, etc., to obtain that target lightning-caused fire area A is located at the 10 o'clock position of watchtower 1, target lightning-caused fire area B is located at the 4 o'clock position of watchtower 1, etc.

[0084] like Figure 8 As shown, the electronic device can be pre-set with a preset clockwise direction, such as south being the 12 o'clock position. Then, it can calculate the angle between the ray between the target lightning-struck fire area and the watchtower and the two adjacent clockwise positions, determining the nearest clockwise position as the watchtower's observation azimuth. For example, if target lightning-struck fire area A is closest to the 10 o'clock position, the electronic device can determine the observation azimuth corresponding to target lightning-struck fire area A as the 10 o'clock position; if target lightning-struck fire area B is closest to the 2 o'clock position, the electronic device can determine the observation azimuth corresponding to target lightning-struck fire area B as the 2 o'clock position; if target lightning-struck fire area C is closest to the 8 o'clock position, the electronic device can determine the observation azimuth corresponding to target lightning-struck fire area C as the 8 o'clock position; if target lightning-struck fire area D is closest to the 4 o'clock position, the electronic device can determine the observation azimuth corresponding to target lightning-struck fire area D as the 4 o'clock position, and so on. Electronic devices do not need to calculate the exact angle; they only need to calculate the approximate location. This helps reduce the computational load on electronic devices and improve their operating efficiency.

[0085] S310. The observation sequence and observation azimuth corresponding to the target lightning strike fire area are reported to the watchtower.

[0086] Specifically, after calculating the observation azimuth of each target lightning-struck fire area relative to a preset clockwise azimuth, the electronic device can report the observation order and observation azimuth corresponding to the target lightning-struck fire area to the watchtower. For example, the electronic device can report information such as target lightning-struck fire area A as the first observation order, target lightning-struck fire area B as the second observation order, and target lightning-struck fire area A being located at the 10 o'clock position of watchtower 1, and target lightning-struck fire area B being located at the 4 o'clock position of watchtower 1 to watchtower 1. Because the personnel on duty maintain high vigilance for extended periods during thunderstorms, they are kept in an unnecessary state of alert for long periods, which can lead to a lack of concentration and even psychological fatigue over time. The high lightning-struck fire area disc obtained using the embodiment of this application can obtain the observation focus, improving the efficiency of manual observation.

[0087] In one possible embodiment, there can be multiple watchtowers. The electronic device determines the observation order and observation azimuth corresponding to the target lightning-caused fire area as the central watchtower of the target lightning-caused fire area. The information reported by the electronic device from other watchtowers can be converted from the information of the central watchtower. For example, the electronic device determines that the received information of watchtower 1 at the center of the target lightning-caused fire area includes the first observation order being target lightning-caused fire area A, the second observation order being target lightning-caused fire area B, etc., and that target lightning-caused fire area A is located at the 10 o'clock position of watchtower 1, and target lightning-caused fire area B is located at the 4 o'clock position of watchtower 1, etc. The electronic device determines that the position of watchtower 2 is (137, 43), etc. Through coordinate conversion, the received information of watchtower 2 can be calculated to include the first observation order being target lightning-caused fire area C, the second observation order being target lightning-caused fire area B, etc., and that target lightning-caused fire area C is located at the 2 o'clock position of watchtower 2, and target lightning-caused fire area B is located at the 7 o'clock position of watchtower 2, etc. Electronic devices can send different observation sequences and directions to watchtowers in different locations, which helps improve the accuracy of observations from multiple watchtowers.

[0088] like Figure 9As shown, the electronic device can first calculate the observation sequence and observation azimuth corresponding to a lookout tower (e.g., but not limited to lookout tower 1 at the center of the target lightning-struck fire area). Then, based on the relative positions of lookout towers 2, 3, and 4 with lookout tower 1, the electronic device can determine the observation sequence and observation azimuth corresponding to other lookout towers. For example, the electronic device sends the observation azimuths of target lightning-struck fire areas A, B, C, and D to lookout tower 1 at the 9, 12, 3, and 4 o'clock directions, respectively. The observation azimuths of target lightning strike areas A, B, C, and D sent to watchtower 2 are at 8, 9, 7, and 5 o'clock respectively. The observation azimuths of target lightning strike areas A, B, C, and D sent to watchtower 3 are at 10, 11, 12, and 2 o'clock respectively. The observation azimuths of target lightning strike areas A, B, C, and D sent to watchtower 4 are at 12, 1, 2, and 3 o'clock respectively. The observation azimuths of target lightning strike areas A, B, C, and D sent to watchtower 5 are at 6, 3, 4, and 5 o'clock respectively, and so on. The electronic equipment can send information on all detected target lightning strike areas to all watchtowers, or it can send information on target lightning strike areas within a preset range to the corresponding watchtower. For example, the electronic equipment can send information on target lightning strike areas A, B, and C (3 areas) to watchtower 1, or send information on target lightning strike areas C and D (2 areas) to watchtower 3, etc. This can reasonably balance the working efficiency of multiple watchtowers, prevent resource waste, and improve user experience.

[0089] In one possible implementation, the number of watchtowers can be allocated according to the magnitude of the lightning strike risk estimate. For example, if the electronic device determines that the range of the lightning strike risk estimate is 0-1, then the electronic device can determine that the target lightning strike fire area in the 0-0.5 range requires 1 watchtower for observation, the target lightning strike fire area in the 0.51-0.8 range requires 2 watchtowers for observation, and the target lightning strike fire area in the 0.81-1 range requires 3 watchtowers for observation, etc., which helps to rationally allocate the observation efficiency of the watchtowers.

[0090] S311. Calculate the azimuth interval angle corresponding to each target lightning-stricken fire area, and determine the azimuth interval angle difference value between each target lightning-stricken fire area based on the upper interval angle and the lower interval angle.

[0091] Specifically, the azimuth interval angle refers to the angle between the tangent of the target lightning-struck fire area and the watchtower. The azimuth interval angle includes an upper interval angle and a lower interval angle. After determining the target lightning-struck fire area, the electronic equipment can calculate the azimuth interval angle corresponding to each target lightning-struck fire area. For example, the electronic equipment determines that the azimuth interval angle corresponding to target lightning-struck fire area A is (290, 330), where 290 can be the upper interval angle and 330 can be the lower interval angle. It also determines that the azimuth interval angle corresponding to target lightning-struck fire area B is (340, 360), and so on. Then, the electronic equipment can determine the difference in azimuth interval angles between the target lightning-struck fire areas based on the upper and lower interval angles. For example, the electronic equipment can determine that the difference in azimuth interval angles between target lightning-struck fire area A and target lightning-struck fire area B is 10 degrees, etc.

[0092] S312. When the angular difference value of the azimuth interval is less than a preset threshold, the target lightning strike fire areas are merged, and the observation range corresponding to the watchtower is determined based on the merged target lightning strike fire areas.

[0093] Specifically, after determining the azimuth angle difference between each target lightning-struck fire area, the electronic device can merge the target lightning-struck fire areas when the azimuth angle difference is less than a preset threshold. For example, if the electronic device determines that the azimuth angle difference between target lightning-struck fire area A and target lightning-struck fire area B is 10 degrees, and the azimuth angle difference between target lightning-struck fire area C and target lightning-struck fire area D is 45 degrees, and the preset threshold is 20 degrees, then the electronic device can merge target lightning-struck fire area A and target lightning-struck fire area B into a complete area 1 (the merged target lightning-struck fire area). The observation range of the complete area 1 can... By using (290, 360), the overall observation area of ​​the lookout tower can be reduced. Then, the observation range described by the electronic device is reported to the corresponding lookout tower. In contrast, the existing lookout towers need to conduct periodic observations, 360-degree all-round shooting and image data processing. When there is only a small number of directions with lightning strike fire risk, a lot of computing resources will be wasted, delaying the timely detection of fire. This application helps to set the specific small-range shooting range of the automated lookout equipment through the communication interface of the automated lookout equipment, and to merge two nearby target lightning strike fire areas. It can also reduce the overall observation area of ​​the lookout tower, thereby achieving the purpose of effectively utilizing the lightning strike fire prevention and control equipment in large forest farms.

[0094] like Figure 10As shown, the electronic device can calculate the azimuth angle interval corresponding to target lightning-struck fire area A as (280, 300), and the azimuth angle interval corresponding to target lightning-struck fire area B as (310, 330), etc. Then, the electronic device can determine that the difference in azimuth angle interval between target lightning-struck fire area A and target lightning-struck fire area B is 10 degrees, which is less than a preset threshold (e.g., but not limited to 20 degrees). Since the watchtower can use the observed azimuth to prevent fires, it does not necessarily need a specific location. Therefore, the electronic device can merge target lightning-struck fire area A and target lightning-struck fire area B. The azimuth angle interval of the merged observation area can be (280, 330), etc. Then, the four areas that need to be observed, namely target lightning-struck fire area A, target lightning-struck fire area B, target lightning-struck fire area C and target lightning-struck fire area D, become three areas, namely target lightning-struck fire area E, target lightning-struck fire area C and target lightning-struck fire area D. Since existing watchtowers need to rotate 360 ​​degrees to observe the target lightning-damaged area, if electronic equipment can determine the specific azimuth angle interval between the target lightning-damaged area C and the target lightning-damaged area D (e.g., but not limited to (45, 135)), then electronic equipment can accurately reduce the observation range that the watchtower needs to observe.

[0095] In the implementation of this application's embodiment, the lightning parameters corresponding to a target lightning strike are obtained. The target lightning strike has a corresponding lightning strike point. Based on the lightning parameters, the ignition type corresponding to the target lightning strike is determined. The ignition type includes at least a first ignition type and a second ignition type. The probability of a lightning strike of the first ignition type causing a fire is higher than that of a lightning strike of the second ignition type. Multiple lightning strike points corresponding to the first ignition type within a preset time period are clustered to determine a target lightning fire area. The target lightning fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. This application, by identifying the ignition type of each lightning strike and clustering multiple lightning strike points based on the ignition type identification results to determine the corresponding target lightning fire area, narrows the protection range required to observe lightning-caused fires, identifies high-risk lightning fire areas, and optimizes the use of manual and automated control resources, thereby effectively preventing forest lightning fires.

[0096] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0097] Please see Figure 11This illustration shows a schematic diagram of a lightning strike fire area positioning device provided in an exemplary embodiment of this application, hereinafter referred to as positioning device 11. Positioning device 11 can be implemented as all or part of a terminal through software, hardware, or a combination of both. It includes:

[0098] The acquisition module 1101 is used to acquire the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point;

[0099] The determining module 1102 is used to determine the fire type corresponding to the target lightning strike based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type.

[0100] Clustering module 1103 is used to perform clustering processing on multiple target lightning strikes corresponding to the first ignition type within a preset time period to determine the target lightning strike fire area; wherein the target lightning strike fire area covers at least one lightning strike point corresponding to the first ignition type.

[0101] In one possible embodiment, the acquisition module 1101 includes:

[0102] The acquisition unit is used to acquire lightning parameters corresponding to a target lightning strike through a lightning monitoring system; wherein, the lightning parameters include at least one of the following: lightning cloud-ground characteristics, lightning polarity, lightning intensity, lightning steepness, average rise time of lightning return waveform, average fall time of lightning return waveform, lightning location error, and number of participating location stations.

[0103] In one possible embodiment, the positioning device 11 further includes:

[0104] The acquisition module is used to collect multiple lightning strikes within a preset time period before the ignition point begins to ignite as lightning strike samples; wherein, the lightning strike samples have corresponding sample types, and the sample types include at least a first igniting lightning strike sample type and a second igniting lightning strike sample type, wherein the distance of the first igniting lightning strike sample type from the ignition point is less than the distance of the second igniting lightning strike sample type from the ignition point.

[0105] The second acquisition module is used to acquire the lightning sample parameters corresponding to each of the lightning strike samples.

[0106] The training module is used to train the type estimation model based on the lightning sample parameters and the sample types corresponding to the manually labeled lightning strike samples.

[0107] In one possible embodiment, the determining module 1102 includes:

[0108] The prediction unit is used to determine the type of fire caused by the target lightning strike through the pre-trained type estimation model.

[0109] In one possible embodiment, the clustering module 1103 includes:

[0110] The first calculation unit is used to determine the distance between any two different lightning strike points, and based on the distance, determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point; wherein, the coverage circle is a circle generated by the lightning strike points with a preset radius;

[0111] The second calculation unit is used to calculate the maximum number of lightning strike points covered between pairs of intersecting lightning strike points based on the number of lightning strike points covered by the covering circle corresponding to each lightning strike point.

[0112] The determining unit is used to determine the target lightning-fire area by the maximum number of lightning strike points covered between the lightning strike point pairs.

[0113] In one possible embodiment, the positioning device 11 further includes:

[0114] The second determining module is used to calculate the lightning risk estimate corresponding to each target lightning fire area based on the number of lightning strike points of the first ignition type in each target lightning fire area and the lightning parameters.

[0115] The third determining module is used to determine the observation order of each target lightning fire area based on the lightning risk estimate.

[0116] The first calculation module is used to determine the center point of each target lightning-fired area and the location of the nearest watchtower to each target lightning-fired area, and calculate the observation azimuth of each target lightning-fired area relative to a preset clockwise azimuth based on the center point and the location of the watchtower.

[0117] The reporting module is used to report the observation sequence and observation azimuth corresponding to the target lightning-fired area to the watchtower.

[0118] In one possible embodiment, the positioning device 11 further includes:

[0119] The second calculation module is used to calculate the azimuth interval angle corresponding to each target lightning-stricken fire area; wherein, the azimuth interval angle refers to the angle of the tangent of the target lightning-stricken fire area relative to the watchtower, and the azimuth interval angle includes the upper interval angle and the lower interval angle;

[0120] The fourth determining module is used to determine the azimuth interval angle difference value between each target lightning-fired area based on the upper interval angle and the lower interval angle;

[0121] The merging module is used to merge the target lightning-fire areas when the angular difference value of the azimuth interval is less than a preset threshold, and to determine the observation range corresponding to the watchtower based on the merged target lightning-fire areas.

[0122] This application's embodiments and Figures 2 to 3 The method implementations are based on the same concept and bring about the same technical effects. The specific process can be referred to Figures 2 to 3 The method embodiments described herein will not be repeated here.

[0123] The device 11 can be a field-programmable gate array (FPGA), a dedicated integrated chip, a system on chip (SoC), a central processing unit (CPU), a network processor (NP), a digital signal processing circuit, a micro controller unit (MCU), or a programmable logic device (PLD) or other integrated chips to implement the relevant functions.

[0124] In the implementation of this application's embodiment, the lightning parameters corresponding to a target lightning strike are obtained. The target lightning strike has a corresponding lightning strike point. Based on the lightning parameters, the ignition type corresponding to the target lightning strike is determined. The ignition type includes at least a first ignition type and a second ignition type. The probability of a lightning strike of the first ignition type causing a fire is higher than that of a lightning strike of the second ignition type. Multiple lightning strike points corresponding to the first ignition type within a preset time period are clustered to determine a target lightning fire area. The target lightning fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. This application, by identifying the ignition type of each lightning strike and clustering multiple lightning strike points based on the ignition type identification results to determine the corresponding target lightning fire area, narrows the protection range required to observe lightning-caused fires, identifies high-risk lightning fire areas, and optimizes the use of manual and automated control resources, thereby effectively preventing forest lightning fires.

[0125] This application also provides a computer storage medium that can store multiple instructions adapted for loading and execution by a processor of the method steps described above. For details of the execution process, please refer to... Figure 2 or Figure 3 The specific details of the illustrated embodiments will not be elaborated here.

[0126] This application also provides a computer program product that stores at least one instruction, which is loaded and executed by the processor to implement the template control method described in the above embodiments.

[0127] Please see Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 12 As shown, the electronic device 1200 may include: at least one processor 1201, at least one network interface 1204, a user interface 1203, a memory 1205, and at least one communication bus 1202.

[0128] The communication bus 1202 is used to realize the connection and communication between these components.

[0129] The user interface 1203 may include a display screen and a camera. Optionally, the user interface 1203 may also include a standard wired interface and a wireless interface.

[0130] The network interface 1204 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0131] The processor 1201 may include one or more processing cores. The processor 1201 connects to various parts within the electronic device 1200 using various interfaces and lines. It executes various functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1205, and by calling data stored in the memory 1205. Optionally, the processor 1201 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 1201 may integrate one or more of the following: a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content to be displayed on the screen; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 1201.

[0132] The memory 1205 may include random access memory (RAM) or read-only memory. Optionally, the memory 1205 may include a non-transitory computer-readable storage medium. The memory 1205 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1205 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 1205 may also be at least one storage device located remotely from the aforementioned processor 1201. Figure 12 As shown, the memory 1205, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a lightning strike fire area positioning application.

[0133] exist Figure 12 In the illustrated electronic device 1200, the user interface 1203 is mainly used to provide an input interface for the user and to acquire user input data; while the processor 1201 can be used to call the lightning strike fire area positioning application stored in the memory 1205 and specifically perform the following operations:

[0134] Obtain the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point;

[0135] The fire type corresponding to the target lightning strike is determined based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type.

[0136] Clustering is performed on multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area; wherein the target lightning strike fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type.

[0137] In one possible embodiment, when processor 1201 executes the step of acquiring the lightning parameters corresponding to the target lightning strike, it specifically performs the following:

[0138] The lightning parameters corresponding to the target lightning strike are collected by the lightning monitoring system; wherein the lightning parameters include at least one of the following: lightning cloud-ground characteristics, lightning polarity, lightning intensity, lightning steepness, average rise time of lightning return waveform, average fall time of lightning return waveform, lightning location error, and number of participating location stations.

[0139] In one possible embodiment, before the processor 1201 executes the step of determining the ignition type corresponding to the target lightning strike based on the lightning parameters, it is further configured to execute:

[0140] Multiple lightning strikes within a preset time period before the ignition point begins to ignite are collected as lightning strike samples; wherein, each lightning strike sample has a corresponding sample type, and the sample type includes at least a first igniting lightning strike sample type and a second igniting lightning strike sample type, wherein the distance of the first igniting lightning strike sample type from the ignition point is less than the distance of the second igniting lightning strike sample type from the ignition point.

[0141] Obtain the lightning sample parameters corresponding to each of the lightning strike samples;

[0142] The type estimation model is trained based on the lightning sample parameters and the sample types corresponding to the manually labeled lightning strike samples.

[0143] In one possible embodiment, when processor 1201 executes the step of determining the ignition type corresponding to the target lightning strike based on the lightning parameters, it specifically performs the following:

[0144] The type of fire caused by the target lightning strike is determined by the pre-trained type estimation model.

[0145] In one possible embodiment, when processor 1201 performs the clustering process on multiple target lightning strike points corresponding to the first ignition type within a preset time period to determine the target lightning strike fire area, it specifically performs the following:

[0146] Determine the distance between each pair of different lightning strike points, and based on the distance, determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point; wherein, the coverage circle is a circle generated by the lightning strike points with a preset radius;

[0147] Based on the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point, calculate the maximum number of lightning strike points covered between the pairs of intersecting lightning strike points of the coverage circles;

[0148] The target lightning-affected area is determined by the maximum number of lightning strikes covered between the lightning strike pairs.

[0149] In one possible embodiment, after the processor 1201 performs the clustering process on the lightning strike points of the first ignition type within a preset time period to determine the target lightning-induced fire area, it is further configured to perform:

[0150] The lightning risk estimate for each target lightning fire area is calculated based on the number of lightning strike points of the first ignition type in each target lightning fire area and the lightning parameters.

[0151] The observation sequence of each target lightning-fired area is determined based on the lightning strike risk estimate.

[0152] Determine the center point of each target lightning-caused fire area and the location of the nearest watchtower to each target lightning-caused fire area, and calculate the observation azimuth of each target lightning-caused fire area relative to a preset clockwise azimuth based on the center point and the location of the watchtower;

[0153] The observation sequence and observation azimuth corresponding to the target lightning strike fire area are reported to the watchtower.

[0154] In one possible embodiment, after the processor 1201 performs the clustering process on the lightning strike points of the first ignition type within a preset time period to determine the target lightning-induced fire area, it is further configured to perform:

[0155] Calculate the azimuth interval angle corresponding to each target lightning-stricken fire area; wherein, the azimuth interval angle refers to the angle of the tangent of the target lightning-stricken fire area relative to the watchtower, and the azimuth interval angle includes the upper interval angle and the lower interval angle;

[0156] The azimuth interval angle difference value between each target lightning-fired area is determined based on the upper interval angle and the lower interval angle.

[0157] When the angular difference value of the azimuth interval is less than a preset threshold, the target lightning-fire areas are merged, and the observation range corresponding to the watchtower is determined based on the merged target lightning-fire areas.

[0158] The technical concept and embodiments of this application Figure 2 or Figure 3 The technical concept is the same; the specific process can be found by referring to... Figure 2 or Figure 3 The method implementation examples are not described in detail here.

[0159] In this embodiment, lightning parameters corresponding to a target lightning strike are obtained. The target lightning strike has a corresponding strike point. Based on the lightning parameters, the ignition type corresponding to the target lightning strike is determined. The ignition type includes at least a first ignition type and a second ignition type. The probability of a lightning strike of the first ignition type causing a fire is higher than that of a lightning strike of the second ignition type. Multiple strike points corresponding to the first ignition type of target lightning strikes within a preset time period are clustered to determine a target lightning fire area. The target lightning fire area covers at least one strike point corresponding to a target lightning strike of the first ignition type. This application, by identifying the ignition type of each lightning strike and clustering multiple strike points based on the ignition type identification results to determine the corresponding target lightning fire area, narrows the protection range required to observe lightning-caused fires, identifies high-risk lightning fire areas, and optimizes the use of manual and automated control resources, thereby effectively preventing forest lightning fires.

[0160] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory, or random access memory, etc.

[0161] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for locating a lightning-caused fire zone, characterized in that, The method includes: Obtain the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point; The fire type corresponding to the target lightning strike is determined based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type. Clustering is performed on multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area; wherein, the target lightning strike fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. The step of clustering the lightning strike points corresponding to multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area includes: Determine the distance between each pair of different lightning strike points, and based on the distance, determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point; wherein, the coverage circle is a circle generated by the lightning strike points with a preset radius; Based on the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point, calculate the maximum number of lightning strike points covered between the pairs of intersecting lightning strike points of the coverage circles; The target lightning-affected area is determined by the maximum number of lightning strikes covered between the lightning strike pairs.

2. The method according to claim 1, characterized in that, The acquisition of lightning parameters corresponding to the target lightning strike includes: The lightning parameters corresponding to the target lightning strike are collected by the lightning monitoring system; wherein the lightning parameters include at least one of the following: lightning cloud-ground characteristics, lightning polarity, lightning intensity, lightning steepness, average rise time of lightning return waveform, average fall time of lightning return waveform, lightning location error, and number of participating location stations.

3. The method according to claim 1, characterized in that, Before determining the ignition type corresponding to the target lightning strike based on the lightning parameters, the method further includes: Multiple lightning strikes within a preset time period before the ignition point begins to ignite are collected as lightning strike samples; wherein, each lightning strike sample has a corresponding sample type, and the sample type includes at least a first igniting lightning strike sample type and a second igniting lightning strike sample type, wherein the distance of the first igniting lightning strike sample type from the ignition point is less than the distance of the second igniting lightning strike sample type from the ignition point. Obtain the lightning sample parameters corresponding to each of the lightning strike samples; The type estimation model is trained based on the lightning sample parameters and the sample types corresponding to the manually labeled lightning strike samples.

4. The method according to claim 3, characterized in that, Determining the fire type corresponding to the target lightning strike based on the lightning parameters includes: The type of fire caused by the target lightning strike is determined by the pre-trained type estimation model.

5. The method according to claim 1, characterized in that, After clustering the lightning strike points of the first ignition type within a preset time period to determine the target lightning-induced fire area, the process further includes: The lightning risk estimate for each target lightning fire area is calculated based on the number of lightning strike points of the first ignition type in each target lightning fire area and the lightning parameters. The observation sequence of each target lightning-fired area is determined based on the lightning strike risk estimate. Determine the center point of each target lightning-caused fire area and the location of the nearest watchtower to each target lightning-caused fire area, and calculate the observation azimuth of each target lightning-caused fire area relative to a preset clockwise azimuth based on the center point and the location of the watchtower; The observation sequence and observation azimuth corresponding to the target lightning strike fire area are reported to the watchtower.

6. The method according to claim 1, characterized in that, After clustering the lightning strike points of the first ignition type within a preset time period to determine the target lightning-induced fire area, the process further includes: Calculate the azimuth interval angle corresponding to each target lightning-stricken fire area; wherein, the azimuth interval angle refers to the angle of the tangent of the target lightning-stricken fire area relative to the watchtower, and the azimuth interval angle includes the upper interval angle and the lower interval angle; The azimuth interval angle difference value between each target lightning-fired area is determined based on the upper interval angle and the lower interval angle. When the angular difference value of the azimuth interval is less than a preset threshold, the target lightning-fire areas are merged, and the observation range corresponding to the watchtower is determined based on the merged target lightning-fire areas.

7. A lightning strike fire area positioning device, characterized in that, include: The acquisition module is used to acquire the lightning parameters corresponding to the target lightning strike; wherein, the target lightning strike has a corresponding lightning strike point; The determination module is used to determine the fire type corresponding to the target lightning strike based on the lightning parameters; wherein the fire type includes at least a first fire type and a second fire type, and the probability of a fire caused by a lightning strike of the first fire type is higher than the probability of a fire caused by a lightning strike of the second fire type. The clustering module is used to cluster multiple target lightning strikes of the first ignition type within a preset time period to determine the target lightning strike fire area; wherein the target lightning strike fire area covers at least one lightning strike point corresponding to a target lightning strike of the first ignition type. Specifically, the clustering module is used to: determine the distance between each pair of different lightning strike points; determine the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point based on the distance; wherein the coverage circle is a circle generated by the lightning strike points with a preset radius; calculate the maximum number of lightning strike points covered between pairs of intersecting lightning strike points based on the number of lightning strike points covered by the coverage circle corresponding to each lightning strike point; and determine the target lightning-fired area by the maximum number of lightning strike points covered between the pairs of lightning strike points.

8. A computer storage medium, characterized in that, The computer storage medium stores a plurality of instructions, which are adapted to be loaded by a processor and executed as the method steps of any one of claims 1 to 6.

9. An electronic device, characterized in that, include: A memory and a processor; wherein the memory stores a computer program adapted to be loaded by the processor and executed the method steps as claimed in any one of claims 1 to 6.

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