Forest fire prevention method based on meteorological large model technology

Abstract

The invention provides a forest fire prevention method based on a meteorological large model technology. The forest fire prevention method comprises the steps that a forest meteorological model of a forest is established according to multi-source data of the forest, and fire protection information of the forest is obtained through training, analyzing a safety factor and a risk factor corresponding to each protection area in the forest based on the fire protection information, determining a plurality of easy-to-fire areas of the forest, performing flame supervision on each easy-to-fire area according to the risk factors, determining a fire area with flames, and performing alarm work. And searching the terrain information of the fire area and the current climate information in the forest meteorological model, performing fire spreading prediction on the fire area, generating fire extinguishing deployment according to a prediction result, and displaying the fire extinguishing deployment, so that the occurrence of the forest fire can be accurately predicted, and prevention measures can be taken in advance. Therefore, the occurrence rate of forest fire disasters is effectively reduced, and corresponding alarm and guidance work can be made in time when the fire disasters occur.

Description

Technical Field

[0001] The invention relates to the technical field of forest fire prevention, and in particular to a forest fire prevention method based on large meteorological model technology. Background Art

[0002] Forests are the lungs of the earth. Forests are ecosystems composed of plant communities, animals living in the forests and the non-living environment in the space. The forest life cycle has a long succession series, forests have high productivity, multiple uses and great benefits. However, forest fires that are out of human control will seriously damage the forest's accumulated trees and forest environment over the years, causing the forest ecosystem to lose balance, destroying the performance of the forest's soil and changing the landform. Forest fires are the most direct and disastrous damage to the ecology; a large number of plants are burned, which will cause soil erosion, increased desertification and other adverse effects, and ultimately it may even be impossible to maintain the ecological balance.

[0003] Forest fire is one of the most common disasters in nature, which has a huge impact on the ecological environment and human life. Existing forest fire prevention methods mainly rely on manual inspections and simple meteorological data analysis, which often cannot effectively predict and prevent the occurrence of forest fires. Therefore, there is an urgent need for a new technology that can accurately predict and effectively prevent forest fires.

[0004] Therefore, the present invention provides a forest fire prevention method based on large meteorological model technology. Summary of the invention

[0005] The present invention provides a forest fire prevention method based on meteorological large model technology, which can accurately predict the occurrence of forest fires and take preventive measures in advance, thereby effectively reducing the incidence of forest fires and making corresponding alarms and guidance work in time when a fire occurs.

[0006] The present invention provides a forest fire prevention method based on a large meteorological model technology, comprising:

[0007] Step 1: establishing a forest meteorological model of the forest according to multi-source data of the forest, and using meteorological data to train the forest meteorological model to obtain fire protection information of the forest;

[0008] Step 2: Analyze the safety factors and risk factors corresponding to each protection area in the forest based on the fire protection information, and determine several fire-prone areas in the forest;

[0009] Step 3: Conduct flame monitoring on each of the fire-prone areas according to the risk factors, determine the fire area where the flame exists, and conduct alarm work;

[0010] Step 4: Search the terrain information and current climate information of the fire area in the forest meteorological model, predict the spread of fire in the fire area, generate fire extinguishing deployment according to the prediction results, and display it.

[0011] In one practicable manner,

[0012] Also includes:

[0013] When there is no fire in the forest, current information corresponding to each fire-prone area is collected in real time and displayed.

[0014] In one practicable manner,

[0015] The step 1 comprises:

[0016] Step 11: Collecting the geomorphic data, vegetation data, structural data and meteorological data of the forest to establish multi-source data of the forest;

[0017] Step 12: establishing a plurality of dimensional features of the forest according to the multi-source data, so as to facilitate the construction of a forest meteorological model of the forest by using the dimensional features;

[0018] Step 13: determining a plurality of longitudinal temperature and humidity information and transverse temperature and humidity information in the forest according to the meteorological data;

[0019] Step 14: Use each of the longitudinal temperature and humidity information and each of the transverse temperature and humidity information to train the forest meteorological model, obtain the temperature and humidity change characteristics of the forest, and establish the fire protection information of the forest.

[0020] In one practicable manner,

[0021] The step 14 comprises:

[0022] Step 141: establishing a temperature distribution concept map and a humidity distribution concept map of the forest according to the longitudinal temperature and humidity information and the transverse temperature and humidity information, performing overlapping projection on the temperature distribution concept map and the humidity distribution concept map to obtain a temperature and humidity information map of the forest, and establishing a temperature and humidity restriction trend of the forest according to the temperature and humidity comparison information corresponding to each protection area in the temperature and humidity information;

[0023] Step 142: using a longitudinal temperature and humidity information and a transverse temperature and humidity information with information overlap, establishing a temperature and humidity information group, using each of the temperature and humidity information groups to perform local training on the forest meteorological model, obtaining a plurality of local temperature and humidity characteristics of the forest according to the training structure, and distributing and arranging the local temperature and humidity characteristics based on the control position of each local temperature and humidity characteristic in the forest to obtain a characteristic distribution array;

[0024] Step 143: using the temperature and humidity constraint trend to perform constraint analysis on adjacent local temperature and humidity features in the feature distribution array, obtaining a corrected temperature value and a corrected humidity value corresponding to each local temperature and humidity feature, and establishing the temperature and humidity change characteristics of the forest according to the corrected temperature value and the corrected humidity value corresponding to each protection area;

[0025] Step 144: Determine a number of high-temperature areas and a number of dry areas in the forest based on the temperature and humidity change characteristics, obtain a first protection measure corresponding to each of the high-temperature areas, and obtain a second protection measure corresponding to each of the dry areas, and establish fire protection information for the forest based on the protection ranges corresponding to the first protection measures and the second protection measures.

[0026] In one practicable manner,

[0027] The step 2 comprises:

[0028] Step 21: Collect several pedestrian roads contained in the forest, count the pedestrian flow frequency corresponding to each pedestrian road, establish corresponding danger enhancement labels for the corresponding pedestrian roads according to the pedestrian flow frequency, divide the forest into checkerboards, and obtain several protection areas;

[0029] Step 22: based on the overlap relationship between each of the protection areas and the human-traveled roads, copy the danger enhancement label to the corresponding protection area, establish the external danger factors corresponding to each of the protection areas, and construct the equivalent protection concept information of the forest based on the fire protection information;

[0030] Step 23: simulating the equivalent protection concept information and each of the external risk factors in the forest meteorological model, obtaining the characteristics of the fire protection information in overcoming each of the external risk factors, and obtaining the existing external risk factors corresponding to each of the protection areas;

[0031] Step 24: Utilize the fire protection information to analyze the fire protection characteristics corresponding to each of the protection areas, establish the geographical advantages and disadvantages of the corresponding protection areas according to the corresponding regional locations of each of the protection areas in the forest, establish the safety factors of the corresponding protection areas according to the geographical advantages, establish the risk factors of the corresponding protection areas according to the geographical disadvantages combined with the corresponding existing external risk factors, and record the protection areas containing risk factors as fire-prone areas.

[0032] In one practicable manner,

[0033] The step 3 comprises:

[0034] Step 31: estimating the flame generation mode of the corresponding fire-prone area according to the risk factors, and a plurality of fire causes corresponding to each of the flame generation modes;

[0035] Step 32: construct corresponding monitoring trigger conditions according to each of the fire causes, collect the regional conditions corresponding to each of the fire-prone areas in real time, and establish a number of regional development conditions according to the regional conditions;

[0036] Step 33: When the regional development condition is consistent with the corresponding supervision trigger condition, the fire area where the flame exists is located, and corresponding alarm information is established and an alarm is issued according to the supervision trigger condition corresponding to the fire area.

[0037] In one practicable manner,

[0038] The step 4 comprises:

[0039] Step 41: transmitting the flame information corresponding to the fire area to the forest meteorological model for model training, and analyzing the flame spreading direction of the fire area according to the terrain information corresponding to the fire area and the current climate information;

[0040] Step 42: searching for a plurality of high-risk areas for flame spread in the forest meteorological model based on the flame spread direction, and determining a protection level corresponding to each high-risk area for flame spread according to the fire protection information;

[0041] Step 43: Analyze the minimum spreading time corresponding to each high-risk spreading area according to the protection level, and rank the high-risk spreading areas according to the minimum spreading time;

[0042] Step 44: Match the corresponding fire extinguishing plan to each of the high-risk areas for spreading according to the fire extinguishing sequence, generate the fire extinguishing deployment for this fire extinguishing work, and display it.

[0043] In one practicable manner,

[0044] Also includes:

[0045] Obtaining the real-time patrol location corresponding to each ranger and the real-time patrol video collected by each trainer;

[0046] Establishing an updated image set corresponding to each forest position in the forest according to the real-time forest patrol video and the real-time forest patrol position;

[0047] The real-time vegetation information of the forest is established according to the updated image set, and the vegetation data is updated using the real-time vegetation information.

[0048] In one practicable manner,

[0049] Also includes:

[0050] When the total area corresponding to the fire-prone areas is greater than a preset area, respectively determining a target position corresponding to each of the fire-prone areas;

[0051] A corresponding forest ranger is assigned to each of the target locations to prevent fires at the target locations.

[0052] In one practicable manner,

[0053] Also includes:

[0054] When there is a fire in the forest, evaluating the fire intensity of the forest according to the real-time burning area of ​​the fire;

[0055] Determine the corresponding flame spread speed of the forest per unit time according to the fire assessment result;

[0056] A list of fire-fighting materials is generated and displayed according to the flame spreading speed.

[0057] The achievable beneficial effects of the above technical scheme are as follows: in order to improve the efficiency and effectiveness of forest fire prevention, a forest meteorological model of the forest is established based on the multi-source data of the forest, and then the forest meteorological model is trained using meteorological data to obtain forest fire protection information, and further the safety factors and risk factors existing in the forest are analyzed based on the fire protection information, thereby determining a number of fire-prone points in the forest, identifying high-risk areas in advance and then formulating preventive measures, which can effectively reduce the incidence of forest fires, and then flame monitoring is carried out on fire-prone points, and an alarm is promptly sounded when it catches fire. In order to further improve the intelligence of the method and improve the efficiency of fire extinguishing, the terrain information and current climate information of the fire area are determined based on the forest meteorological model, and then the spread of the fire in the fire area is predicted, so as to carry out fire extinguishing deployment, provide firefighters with an efficient and fast fire extinguishing method, and improve the fire extinguishing efficiency of firefighters.

[0058] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0059] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0061] Figure 1 A schematic diagram of the workflow of a forest fire prevention method based on a large meteorological model technology in an embodiment of the present invention;

[0062] Figure 2 This is a schematic diagram of the workflow of step 1 of a forest fire prevention method based on large meteorological model technology in an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] Example 1

[0065] This embodiment provides a forest fire prevention method based on meteorological large model technology, such as Figure 1 As shown, including:

[0066] Step 1: establishing a forest meteorological model of the forest according to multi-source data of the forest, and training the forest meteorological model using meteorological data to obtain fire protection information of the forest;

[0067] Step 2: Analyze the safety factors and risk factors corresponding to each protection area in the forest based on the fire protection information, and determine several fire-prone areas in the forest;

[0068] Step 3: Perform flame monitoring on each of the fire-prone areas according to the risk factors, determine the fire area where the flame exists, and perform alarm work;

[0069] Step 4: Search the terrain information and current climate information of the fire area in the forest meteorological model, predict the spread of fire in the fire area, generate fire extinguishing deployment according to the prediction results, and display it.

[0070] In this example, the forest meteorological model refers to a model that simulates the meteorology of the forest and the environment in which the forest is located;

[0071] In this example, the fire protection information indicates measures set in advance in the forest to prevent fires;

[0072] In this example, the risk factor represents the factor that may cause a fire, and the safety factor represents the fire prevention measures;

[0073] In this example, the fire fighting deployment refers to the deployment of fire fighting personnel and equipment established according to the fire spreading situation in the forest.

[0074] The working principle and beneficial effects of the above technical solution are as follows: In order to improve the efficiency and effectiveness of forest fire prevention, a forest meteorological model of the forest is established based on the multi-source data of the forest, and then the forest meteorological model is trained using the meteorological data to obtain forest fire protection information. The safety factors and dangerous factors existing in the forest are further analyzed based on the fire protection information, thereby determining several fire-prone points in the forest, identifying high-risk areas in advance and then formulating preventive measures, which can effectively reduce the incidence of forest fires, and then monitor the flames of fire-prone points, and promptly alarm when they catch fire. In order to further improve the intelligence of the method and improve the efficiency of fire extinguishing, the terrain information and current climate information of the fire area are determined based on the forest meteorological model, and then the spread of the fire in the fire area is predicted, so as to carry out fire extinguishing deployment, provide firefighters with an efficient and fast fire extinguishing method, and improve the fire extinguishing efficiency of firefighters.

[0075] Example 2

[0076] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology further includes:

[0077] When there is no fire in the forest, current information corresponding to each fire-prone area is collected in real time and displayed.

[0078] Example 3

[0079] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology, the step 1, as Figure 2 As shown, including:

[0080] Step 11: Collecting the geomorphic data, vegetation data, structural data and meteorological data of the forest to establish multi-source data of the forest;

[0081] Step 12: establishing a plurality of dimensional features of the forest according to the multi-source data, so as to facilitate the construction of a forest meteorological model of the forest by using the dimensional features;

[0082] Step 13: determining a plurality of longitudinal temperature and humidity information and transverse temperature and humidity information in the forest according to the meteorological data;

[0083] Step 14: Use each of the longitudinal temperature and humidity information and each of the transverse temperature and humidity information to train the forest meteorological model, obtain the temperature and humidity change characteristics of the forest, and establish the fire protection information of the forest.

[0084] In this example, the dimensional features include: geomorphic features, vegetation distribution features, forest structure features, and meteorological features;

[0085] In this example, the vertical temperature and humidity information represents the information of the temperature and humidity changes in the forest established in order from high to low, and the horizontal temperature and humidity information represents the information of the temperature and humidity changes at different positions at the same height in the forest.

[0086] The working principle and beneficial effects of the above technical solution are as follows: a forest meteorological model is established by utilizing the forest's geomorphological data, vegetation data, structural data and meteorological data, and then the forest's fire protection information is determined by analyzing the longitudinal and lateral temperature and humidity changes in the forest, laying the foundation for subsequent fire prediction.

[0087] Example 4

[0088] On the basis of Example 3, the forest fire prevention method based on the meteorological large model technology, the step 14 comprises:

[0089] Step 141: establishing a temperature distribution concept map and a humidity distribution concept map of the forest according to the longitudinal temperature and humidity information and the transverse temperature and humidity information, performing overlapping projection on the temperature distribution concept map and the humidity distribution concept map to obtain a temperature and humidity information map of the forest, and establishing a temperature and humidity restriction trend of the forest according to the temperature and humidity comparison information corresponding to each protection area in the temperature and humidity information;

[0090] Step 142: using a longitudinal temperature and humidity information and a transverse temperature and humidity information with information overlap, establishing a temperature and humidity information group, using each of the temperature and humidity information groups to perform local training on the forest meteorological model, obtaining a plurality of local temperature and humidity characteristics of the forest according to the training structure, and distributing and arranging the local temperature and humidity characteristics based on the control position of each local temperature and humidity characteristic in the forest to obtain a characteristic distribution array;

[0091] Step 143: using the temperature and humidity constraint trend to perform constraint analysis on adjacent local temperature and humidity features in the feature distribution array, obtaining a corrected temperature value and a corrected humidity value corresponding to each local temperature and humidity feature, and establishing the temperature and humidity change characteristics of the forest according to the corrected temperature value and the corrected humidity value corresponding to each protection area;

[0092] Step 144: Determine a number of high-temperature areas and a number of dry areas in the forest based on the temperature and humidity change characteristics, obtain a first protection measure corresponding to each of the high-temperature areas, and obtain a second protection measure corresponding to each of the dry areas, and establish fire protection information for the forest based on the protection ranges corresponding to the first protection measures and the second protection measures.

[0093] In this example, coincident projection refers to the process of simultaneously projecting the temperature distribution concept map and the humidity distribution concept map onto the same plane;

[0094] In this example, the temperature and humidity constraint trend indicates the constraint of temperature on humidity and the constraint of humidity on temperature.

[0095] The working principle and beneficial effects of the above technical solution: In order to further train the forest meteorological model, a temperature and humidity information map of the forest is established according to the longitudinal temperature and humidity information and the transverse temperature and humidity information, and then the temperature and humidity control trend of the forest is established according to the temperature and humidity comparison information corresponding to each protection area in the temperature and humidity information, and then the forest meteorological model is locally trained using the longitudinal temperature and humidity information and the transverse temperature and humidity information, and several local temperature and humidity characteristics in the forest are determined, and further characteristic distribution rows are established, and then the temperature and humidity control trend is used to perform constraint analysis on the local temperature and humidity characteristics in the characteristic distribution rows, and the corrected temperature value and corrected humidity value corresponding to each local temperature and humidity feature are obtained, thereby establishing the temperature and humidity change characteristics of the forest, and establishing the forest fire protection information by screening the high temperature areas and dry areas in the forest and combining the protection measures of each area, so that the forest fire protection can be analyzed from the perspective of temperature and humidity, making the obtained protection information more practical.

[0096] Example 5

[0097] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology, the step 2 comprises:

[0098] Step 21: Collect several pedestrian roads contained in the forest, count the pedestrian flow frequency corresponding to each pedestrian road, establish corresponding danger enhancement labels for the corresponding pedestrian roads according to the pedestrian flow frequency, divide the forest into checkerboards, and obtain several protection areas;

[0099] Step 22: based on the overlap relationship between each of the protection areas and the human-traveled roads, copy the danger enhancement label to the corresponding protection area, establish the external danger factors corresponding to each of the protection areas, and construct the equivalent protection concept information of the forest based on the fire protection information;

[0100] Step 23: simulating the equivalent protection concept information and each of the external risk factors in the forest meteorological model, obtaining the characteristics of the fire protection information in overcoming each of the external risk factors, and obtaining the existing external risk factors corresponding to each of the protection areas;

[0101] Step 24: Utilize the fire protection information to analyze the fire protection characteristics corresponding to each of the protection areas, establish the geographical advantages and disadvantages of the corresponding protection areas according to the corresponding regional locations of each of the protection areas in the forest, establish the safety factors of the corresponding protection areas according to the geographical advantages, establish the risk factors of the corresponding protection areas according to the geographical disadvantages combined with the corresponding existing external risk factors, and record the protection areas containing risk factors as fire-prone areas.

[0102] The working principle and beneficial effects of the above technical solution are as follows: in order to analyze the fire-prone points in the forest from multiple aspects, the danger level of the roads is analyzed according to the frequency of pedestrian traffic on each pedestrian road in the forest, and corresponding danger enhancement labels are assigned. The forest is then divided into several protection areas in a checkerboard manner, and then the external risk factors of the protection areas are established based on the overlap between each protection area and the pedestrian road. At the same time, the equivalent protection concept information of the forest is constructed based on the fire protection information, and the forest meteorological model is used to simulate each external risk factor to determine the characteristics of the fire protection information in overcoming the external factors, thereby determining the existing external risk factors in the protection area, combining the geographical disadvantages of the protection area to establish the risk factors, and establishing the safety factors based on the geographical advantages of the protection area, so that the fire-prone areas with risk factors can be screened.

[0103] Example 6

[0104] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology, the step 3 comprises:

[0105] Step 31: estimating the flame generation mode of the corresponding fire-prone area according to the risk factors, and a plurality of fire causes corresponding to each of the flame generation modes;

[0106] Step 32: construct corresponding monitoring trigger conditions according to each of the fire causes, collect the regional conditions corresponding to each of the fire-prone areas in real time, and establish a number of regional development conditions according to the regional conditions;

[0107] Step 33: When the regional development condition is consistent with the corresponding supervision trigger condition, the fire area where the flame exists is located, and corresponding alarm information is established and an alarm is issued according to the supervision trigger condition corresponding to the fire area.

[0108] The working principle and beneficial effects of the above technical solution are as follows: using risk factors to determine the flame generation method, determining multiple ignition causes, and when the development conditions of the area prone to ignition trigger the ignition conditions, a corresponding alarm is issued.

[0109] Example 7

[0110] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology, the step 4 comprises:

[0111] Step 41: transmitting the flame information corresponding to the fire area to the forest meteorological model for model training, and analyzing the flame spreading direction of the fire area according to the terrain information corresponding to the fire area and the current climate information;

[0112] Step 42: searching for a plurality of high-risk areas for flame spread in the forest meteorological model based on the flame spread direction, and determining a protection level corresponding to each high-risk area for flame spread according to the fire protection information;

[0113] Step 43: Analyze the minimum spreading time corresponding to each high-risk spreading area according to the protection level, and rank the high-risk spreading areas according to the minimum spreading time;

[0114] Step 44: Match the corresponding fire extinguishing plan to each of the high-risk areas for spreading according to the fire extinguishing sequence, generate the fire extinguishing deployment for this fire extinguishing work, and display it.

[0115] The working principle and beneficial effects of the above technical solution: When a fire occurs, the forest meteorological model is used to analyze the flame spread direction and the minimum spread time of each high-risk area. Firefighting is carried out according to the order of spread time, which can effectively prevent the fire from spreading, control the flame within a small range and extinguish it in time.

[0116] Example 8

[0117] On the basis of Example 2, the forest fire prevention method based on the meteorological large model technology further includes:

[0118] Obtaining the real-time patrol location corresponding to each ranger and the real-time patrol video collected by each trainer;

[0119] Establishing an updated image set corresponding to each forest position in the forest according to the real-time forest patrol video and the real-time forest patrol position;

[0120] The real-time vegetation information of the forest is established according to the updated image set, and the vegetation data is updated using the real-time vegetation information.

[0121] The working principle and beneficial effects of the above technical solution are as follows: when the ranger is working, the vegetation data is updated according to the image data collected by the ranger, thereby ensuring the validity of the vegetation data.

[0122] Example 9

[0123] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology further includes:

[0124] When the total area corresponding to the fire-prone areas is greater than a preset area, respectively determining a target position corresponding to each of the fire-prone areas;

[0125] A corresponding forest ranger is assigned to each of the target locations to prevent fires at the target locations.

[0126] The default area represents 10% of the total forest area.

[0127] The working principle and beneficial effects of the above technical solution are as follows: when there are large areas prone to fire in the forest, corresponding forest rangers are assigned to patrol the areas prone to fire to reduce the probability of fire.

[0128] Example 10

[0129] On the basis of Example 1, the forest fire prevention method based on the meteorological large model technology further includes:

[0130] When there is a fire in the forest, evaluating the fire intensity of the forest according to the real-time burning area of ​​the fire;

[0131] Determine the corresponding flame spread speed of the forest per unit time according to the fire assessment result;

[0132] A list of fire-fighting materials is generated and displayed according to the flame spreading speed.

[0133] In this example, the unit time is 5 minutes.

[0134] The working principle and beneficial effects of the above technical solution: In order to improve the efficiency of fire extinguishing, a fire assessment is carried out during fire extinguishing, the corresponding fire extinguishing materials are matched according to the flame spread speed, and a list is established to remind the rear to supply materials in time.

[0135] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A forest fire prevention method based on large meteorological model technology, characterized in that: include: Step 1: establishing a forest meteorological model of the forest according to multi-source data of the forest, and training the forest meteorological model using meteorological data to obtain fire protection information of the forest; Step 2: Analyze the safety factors and risk factors corresponding to each protection area in the forest based on the fire protection information, and determine several fire-prone areas in the forest; Step 3: Perform flame monitoring on each of the fire-prone areas according to the risk factors, determine the fire area where the flame exists, and perform alarm work; Step 4: Search the terrain information and current climate information of the fire area in the forest meteorological model, predict the spread of fire in the fire area, generate fire extinguishing deployment according to the prediction results, and display it.

2. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: Also includes: When there is no fire in the forest, current information corresponding to each fire-prone area is collected in real time and displayed.

3. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: The step 1 comprises: Step 11: Collecting the geomorphic data, vegetation data, structural data and meteorological data of the forest to establish multi-source data of the forest; Step 12: establishing a plurality of dimensional features of the forest according to the multi-source data, so as to facilitate the construction of a forest meteorological model of the forest by using the dimensional features; Step 13: determining a plurality of longitudinal temperature and humidity information and transverse temperature and humidity information in the forest according to the meteorological data; Step 14: Use each of the longitudinal temperature and humidity information and each of the transverse temperature and humidity information to train the forest meteorological model, obtain the temperature and humidity change characteristics of the forest, and establish the fire protection information of the forest.

4. A forest fire prevention method based on meteorological large model technology as claimed in claim 3, characterized in that: The step 14 comprises: Step 141: establishing a temperature distribution concept map and a humidity distribution concept map of the forest according to the longitudinal temperature and humidity information and the transverse temperature and humidity information, performing overlapping projection on the temperature distribution concept map and the humidity distribution concept map to obtain a temperature and humidity information map of the forest, and establishing a temperature and humidity restriction trend of the forest according to the temperature and humidity comparison information corresponding to each protection area in the temperature and humidity information; Step 142: using a longitudinal temperature and humidity information and a transverse temperature and humidity information with information overlap, establishing a temperature and humidity information group, using each of the temperature and humidity information groups to perform local training on the forest meteorological model, obtaining a plurality of local temperature and humidity characteristics of the forest according to the training structure, and distributing and arranging the local temperature and humidity characteristics based on the control position of each local temperature and humidity characteristic in the forest to obtain a characteristic distribution array; Step 143: using the temperature and humidity constraint trend to perform constraint analysis on adjacent local temperature and humidity features in the feature distribution array, obtaining a corrected temperature value and a corrected humidity value corresponding to each local temperature and humidity feature, and establishing the temperature and humidity change characteristics of the forest according to the corrected temperature value and the corrected humidity value corresponding to each protection area; Step 144: Determine a number of high-temperature areas and a number of dry areas in the forest based on the temperature and humidity change characteristics, obtain a first protection measure corresponding to each of the high-temperature areas, and obtain a second protection measure corresponding to each of the dry areas, and establish fire protection information for the forest based on the protection ranges corresponding to the first protection measures and the second protection measures.

5. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: The step 2 comprises: Step 21: Collect several pedestrian roads contained in the forest, count the pedestrian flow frequency corresponding to each pedestrian road, establish corresponding danger enhancement labels for the corresponding pedestrian roads according to the pedestrian flow frequency, divide the forest into checkerboards, and obtain several protection areas; Step 22: based on the overlap relationship between each of the protection areas and the human-traveled roads, copy the danger enhancement label to the corresponding protection area, establish the external danger factors corresponding to each of the protection areas, and construct the equivalent protection concept information of the forest based on the fire protection information; Step 23: simulating the equivalent protection concept information and each of the external risk factors in the forest meteorological model, obtaining the characteristics of the fire protection information in overcoming each of the external risk factors, and obtaining the existing external risk factors corresponding to each of the protection areas; Step 24: Utilize the fire protection information to analyze the fire protection characteristics corresponding to each of the protection areas, establish the geographical advantages and disadvantages of the corresponding protection areas according to the corresponding regional locations of each of the protection areas in the forest, establish the safety factors of the corresponding protection areas according to the geographical advantages, establish the risk factors of the corresponding protection areas according to the geographical disadvantages combined with the corresponding existing external risk factors, and record the protection areas containing risk factors as fire-prone areas.

6. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: The step 3 comprises: Step 31: estimating the flame generation mode of the corresponding fire-prone area according to the risk factors, and a plurality of fire causes corresponding to each of the flame generation modes; Step 32: construct corresponding monitoring trigger conditions according to each of the fire causes, collect the regional conditions corresponding to each of the fire-prone areas in real time, and establish a number of regional development conditions according to the regional conditions; Step 33: When the regional development condition is consistent with the corresponding supervision trigger condition, the fire area where the flame exists is located, and corresponding alarm information is established and an alarm is issued according to the supervision trigger condition corresponding to the fire area.

7. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: The step 4 comprises: Step 41: transmitting the flame information corresponding to the fire area to the forest meteorological model for model training, and analyzing the flame spreading direction of the fire area according to the terrain information corresponding to the fire area and the current climate information; Step 42: searching for a plurality of high-risk areas for flame spread in the forest meteorological model based on the flame spread direction, and determining a protection level corresponding to each high-risk area for flame spread according to the fire protection information; Step 43: Analyze the minimum spreading time corresponding to each high-risk spreading area according to the protection level, and rank the high-risk spreading areas according to the minimum spreading time; Step 44: Match the corresponding fire extinguishing plan to each of the high-risk areas for spreading according to the fire extinguishing sequence, generate the fire extinguishing deployment for this fire extinguishing work, and display it.

8. A forest fire prevention method based on meteorological large model technology as claimed in claim 2, characterized in that: Also includes: Obtaining the real-time patrol location corresponding to each ranger and the real-time patrol video collected by each trainer; Establishing an updated image set corresponding to each forest position in the forest according to the real-time forest patrol video and the real-time forest patrol position; The real-time vegetation information of the forest is established according to the updated image set, and the vegetation data is updated using the real-time vegetation information.

9. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: Also includes: When the total area corresponding to the fire-prone areas is greater than a preset area, respectively determining a target position corresponding to each of the fire-prone areas; A corresponding forest ranger is assigned to each of the target locations to prevent fires at the target locations.

10. A forest fire prevention method based on meteorological large model technology as claimed in claim 1, characterized in that: Also includes: When there is a fire in the forest, evaluating the fire intensity of the forest according to the real-time burning area of ​​the fire; Determine the corresponding flame spread speed of the forest per unit time according to the fire assessment result; A list of fire-fighting materials is generated and displayed according to the flame spreading speed.

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