Strong wind forecasting method based on typhoon data fusion technology

Abstract

The invention discloses a strong wind forecasting method based on a typhoon data fusion technology, which relates to the field of meteorology, solves the problem of poor forecasting effect of the strong wind forecasting method, and comprises the following steps: S1, respectively carrying out air pressure data analysis on each wind power sub-region in a strong wind forecasting period to obtain regional air pressure acquisition data, s2, performing typhoon data monitoring on each wind power sub-region according to the regional air pressure acquisition data, and acquiring regional typhoon acquisition data according to a monitoring result; s3, performing regional terrain analysis on each wind power sub-region according to the regional air pressure acquisition data and the regional typhoon acquisition data, and acquiring regional terrain acquisition data according to an analysis result; and S4, performing regional gale forecasting on each wind power sub-region according to the regional air pressure acquisition data, the regional typhoon acquisition data and the regional terrain acquisition data. According to the invention, the accuracy and pertinence of a gale forecasting result can be improved.

Description

Technical Field

[0001] The invention belongs to the field of meteorology and relates to data fusion technology, in particular to a gale forecasting method based on typhoon data fusion technology. Background Art

[0002] The existing gale forecasting methods have the following specific defects when forecasting regional gale: 1. The existing gale forecasting method can only predict gale in a large administrative area through weather forecast, but cannot make targeted gale forecasts for local areas, which may lead to the lack of targeted gale forecasts; 2. The meteorological models used in existing gale forecasting methods are difficult to capture the impact of characteristic terrain on the wind field, resulting in large errors between the predicted gale data and the actual gale data; To this end, we propose a gale forecasting method based on typhoon data fusion technology. Summary of the invention

[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a gale forecasting method based on typhoon data fusion technology, and the present invention aims to improve the regional pertinence and forecast accuracy of gale forecasts.

[0004] In order to achieve the above object, the present invention adopts the following technical solution: a gale forecasting method based on typhoon data fusion technology, comprising the following specific steps: Step S1: Analyze the air pressure data of each wind sub-region in the strong wind forecast period to obtain regional air pressure collection data; Step S2: monitoring typhoon data for each wind sub-region according to the regional air pressure collection data, and obtaining regional typhoon collection data according to the monitoring results; Step S3: performing regional terrain analysis on each wind sub-region according to the regional air pressure collection data and the regional typhoon collection data, and obtaining regional terrain collection data according to the analysis results; Step S4: Perform regional gale forecast for each wind sub-region based on the regional air pressure collection data, regional typhoon collection data and regional terrain collection data.

[0005] Furthermore, the step S1 further includes the following specific steps: Step S11: obtaining a regional map corresponding to the strong wind forecast area, dividing the strong wind forecast area into a number of wind sub-areas according to the regional map, and randomly selecting a wind sub-area from the divided wind sub-areas as a sample wind sub-area to obtain regional division data; Step S12: Mark the time point corresponding to the current moment as the first characteristic time point, select a high wind forecast period within the time range after the first characteristic time point, and the interval between the high wind forecast period and the first characteristic time point is the first interval length; Step S13: selecting a second characteristic time point within the time range before the first characteristic time point, and the interval between the first characteristic time point and the second characteristic time point is the second interval, and naming the period between the first characteristic time point and the second characteristic time point as a strong wind prediction period; Step S14: analyzing the air pressure data of the sample wind sub-region in the strong wind forecast period to obtain a first wind impact value corresponding to the sample wind sub-region; Step S15: acquiring the first wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of first wind force impact values; Step S16: defining the strong wind forecast period, the strong wind prediction cycle, the regional division data, and a plurality of first wind force impact values ​​as regional air pressure collection data; The step S14 further includes the following specific steps: Step S141: dividing the strong wind prediction period into a plurality of strong wind prediction sub-periods, and naming the obtained plurality of strong wind prediction sub-periods as the first prediction sub-period to the ath prediction sub-period in chronological order; Step S142: respectively obtain the cycle start time values ​​corresponding to the first prediction sub-cycle to the a-th prediction sub-cycle, obtain the first cycle start time value to the a-th cycle start time value, respectively obtain the time difference between the first cycle start time value to the a-th cycle start time value and the second characteristic time point, and obtain the first characteristic time difference and the a-th characteristic time difference; Step S143: performing air pressure analysis on the first prediction sub-period to obtain a periodic air pressure characteristic value corresponding to the first prediction sub-period, and naming the periodic air pressure characteristic value as the first periodic air pressure characteristic value; Step S144: acquiring the periodic air pressure characteristic values ​​corresponding to the second prediction sub-period to the a-th prediction sub-period respectively, and obtaining the second periodic air pressure characteristic values ​​to the a-th periodic air pressure characteristic values; Step S145: obtaining a first wind force influence value corresponding to the sample wind force sub-region by calculating the first characteristic time difference to the ath characteristic time difference and the first period air pressure characteristic value to the ath period air pressure characteristic value; The first wind impact value corresponding to the sample wind sub-area is calculated, and the specific formula is as follows: ; Among them, Yxz1 is the first wind impact value corresponding to the sample wind sub-area, Ztzi is the pressure characteristic value of the i-th period, Stci is the i-th characteristic time difference, and a is the quantitative value corresponding to the strong wind prediction sub-period.

[0006] Furthermore, the step S143 further includes the following specific steps: Step S1431: randomly selecting a number of air pressure monitoring time points within the first prediction sub-period, and selecting a sample air pressure monitoring time point from the obtained multiple air pressure monitoring time points; Step S1432: Obtain the air pressure map corresponding to the sample wind sub-area at the sample air pressure monitoring time point to obtain the sample air pressure map, obtain the number of low-pressure centers in the sample air pressure map, and obtain the number value of the sample low-pressure centers; Step S1433: obtaining a plurality of characteristic pressure contour lines marked in the sample pressure map, and naming the marked plurality of characteristic pressure contour lines in ascending order from the first characteristic pressure contour line to the bth characteristic pressure contour line; Step S1434: acquiring the pressure values ​​corresponding to the first characteristic pressure contour line to the bth characteristic pressure contour line respectively, to obtain the first characteristic pressure value to the bth characteristic pressure value; Step S1435: obtaining the value of the closest connecting line distance between the first characteristic pressure contour line and the second characteristic pressure contour line through the sample pressure map to obtain the value of the first characteristic distance; obtaining the value of the closest connecting line distance between the second characteristic pressure contour line and the third characteristic pressure contour line through the sample pressure map to obtain the value of the second characteristic distance; and so on; obtaining the value of the closest connecting line distance between the b-1th characteristic pressure contour line and the bth characteristic pressure contour line through the sample pressure map to obtain the value of the b-1th characteristic distance; Step S1436: Calculate the number of sample low-pressure centers, the first characteristic air pressure value to the bth characteristic air pressure value, and the first characteristic distance value to the b-1th characteristic distance value to obtain the air pressure monitoring characteristic value corresponding to the sample air pressure monitoring time point; The specific formula for calculating the characteristic value of air pressure monitoring is as follows: ; Among them, Ztz1 is the pressure monitoring characteristic value corresponding to the sample pressure monitoring time point, Dys is the number value of the sample low-pressure center, Tqyi is the i-th characteristic pressure value, Tqy(i-1) is the i-1th characteristic pressure value, Tjl(i-1) is the i-1th characteristic distance value, and b is the number value corresponding to the characteristic pressure contour line; Step S1437: acquiring the air pressure monitoring characteristic value corresponding to each air pressure monitoring time point in the first prediction sub-period respectively to obtain a plurality of air pressure monitoring characteristic values, and averaging the obtained plurality of air pressure monitoring characteristic values ​​to obtain the air pressure characteristic value of the first period.

[0007] Furthermore, the step S2 further includes the following specific steps: Step S21: acquiring regional air pressure collection data, acquiring a strong wind forecast period, a strong wind prediction cycle and regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S22: obtaining a typhoon moving path map corresponding to a strong wind forecast period through weather forecast; Step S23: performing typhoon data analysis on the sample wind sub-region in the strong wind forecast period to obtain a second wind impact value corresponding to the sample wind sub-region; Step S24: acquiring the second wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of second wind force impact values; Step S25: defining a plurality of second wind force impact values ​​and a typhoon movement path map as regional typhoon collection data.

[0008] Furthermore, the step S23 further includes the following specific steps: Step S231: marking a typhoon monitoring time point at every typhoon monitoring time interval within the high wind forecast period, obtaining a plurality of typhoon monitoring time points, and naming the obtained plurality of typhoon monitoring time points as the first typhoon monitoring time point to the cth typhoon monitoring time point in chronological order; Step S232: Obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point and the strong wind forecast period, and obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point; Step S233: Analyzing the typhoon moving path diagram, obtaining a typhoon monitoring impact value corresponding to the first typhoon monitoring time point, and naming it the first typhoon monitoring impact value; Step S234: acquiring the typhoon monitoring impact values ​​corresponding to the second typhoon monitoring time point to the cth typhoon monitoring time point respectively, and obtaining the second typhoon monitoring impact value to the cth typhoon monitoring impact value; Step S235: obtaining a second wind force influence value corresponding to the sample wind force sub-region by calculating the first typhoon monitoring time difference to the cth typhoon monitoring time difference and the first typhoon monitoring influence value to the cth typhoon monitoring influence value; The second wind force impact value is calculated, and the specific formula is as follows: ; Among them, Yxz2 is the second wind impact value corresponding to the sample wind sub-area, Tyxi is the ith typhoon monitoring impact value, Jtci is the ith typhoon monitoring time difference, and c is the quantity value corresponding to the typhoon monitoring time point.

[0009] Furthermore, the step S233 further includes the following specific steps: Step S2331: intercepting the typhoon movement path map corresponding to the first typhoon monitoring time point to obtain a first typhoon movement intercepted image; Step S2332: in the first typhoon moving intercepted image, mark the geometric center of the sample wind sub-region as the first image marking point, mark a number of typhoon feature points in the typhoon moving path, and the distance interval between every two consecutive typhoon feature points is equal. Randomly select a typhoon feature point from the obtained multiple typhoon feature points as the sample typhoon feature point; Step S2333: Obtain sample typhoon impact distance; The details are as follows: Step S23331: obtaining the typhoon movement speed, typhoon wind force level and reference impact distance in the first typhoon movement intercepted image; Step S23332: Calculate the sample typhoon impact distance by using the typhoon moving speed, typhoon wind force level and reference impact distance; The influence distance of the sample typhoon is calculated as follows: ; Among them, Tyj is the sample typhoon impact distance, Vtf is the typhoon moving speed, Fdj is the typhoon wind force level, and Jlj is the benchmark impact distance; Step S2334: In the first typhoon motion intercepted image, a typhoon transit radiation circle is marked with the sample typhoon feature point as the center and the sample typhoon impact distance as the radius; Step S2335: Obtaining the sample area safety distance; The details are as follows: Step S23351: Obtain the regional population value, the average height of regional buildings, and the reference safety distance corresponding to the sample wind sub-region; Step S23352: Calculate the sample area safety distance by using the regional population value, the average height of regional buildings, and the reference safety distance; The safety distance of the sample area is calculated, and the specific formula is as follows: ; Among them, Aqj is the safety distance of the sample area, Jaj is the benchmark safety distance, Rkz is the regional population value, and GDP is the average height of regional buildings; Step S2336: In the first typhoon motion intercepted image, a sample area safety circle is marked with the first image marking point as the center of the circle and the sample area safety distance as the radius; Step S2337: In the first typhoon moving intercepted image, the overlapping area between the sample area safety circle and the typhoon transit radiation circle is marked as a safety radiation area, and the area value of the safety radiation area is obtained to obtain the typhoon impact area value corresponding to the sample typhoon feature point; Step S2338: respectively obtain the typhoon impact area value corresponding to each typhoon feature point in the first typhoon motion intercepted image to obtain multiple typhoon impact area values, and average the multiple typhoon impact area values ​​to obtain the first typhoon monitoring impact value.

[0010] Furthermore, the step S3 further includes the following specific steps: Step S31: acquiring regional air pressure collection data, acquiring regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S32: performing terrain analysis on the sample wind sub-region to obtain a third wind impact value corresponding to the sample wind sub-region; Step S33: acquiring the third wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of third wind force impact values; Step S34: defining a plurality of third wind impact values ​​as regional terrain acquisition data.

[0011] Furthermore, the step S32 further includes the following specific steps: Step S321: obtaining a regional map corresponding to the sample wind sub-region, marking the vegetation-covered area as a first characteristic area in the regional map, and marking the building-covered area as a second characteristic area in the regional map; Step S322: respectively acquiring the area value corresponding to the first characteristic region to obtain the first area value, and acquiring the area value corresponding to the second characteristic region to obtain the second area value; Step S323: acquiring the area value corresponding to the sample wind sub-region to obtain a third area value; Step S324: calculating the ratio of the area value of the first region to the area value of the third region to obtain a first characteristic area ratio, and calculating the ratio of the area value of the second region to the area value of the third region to obtain a second characteristic area ratio; Step S325: marking a characteristic terrain identification area at the edge of the regional map corresponding to the sample wind sub-area; Step S326: if there is no mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio and the second characteristic area ratio are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; The third wind impact value corresponding to the sample wind sub-area is calculated as follows: ; Among them, Yxz3 is the third wind force impact value corresponding to the sample wind force sub-region, Tmb1 is the first characteristic area ratio, and Tmb2 is the second characteristic area ratio; Step S327: if there is mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio, the second characteristic area ratio and the average angle of mountain wind direction are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; ; Among them, Yxz3 is the third wind influence value corresponding to the sample wind sub-area, Tmb1 is the first characteristic area ratio, Tmb2 is the second characteristic area ratio, and Fxj is the average angle of mountain wind direction.

[0012] Furthermore, the step S327 further includes the following specific steps: Step S3271: Acquire regional typhoon collection data, obtain a typhoon movement path map based on the regional typhoon collection data, and obtain the typhoon prevailing wind direction corresponding to the sample wind sub-region based on the typhoon movement path map; Step S3272: obtaining the mountain range direction corresponding to the mountainous terrain, selecting a plurality of mountain range feature points in the mountain range direction, wherein the distance between each two consecutive mountain range feature points is equal, and naming the selected plurality of mountain range feature points as the first mountain range feature point to the dth mountain range feature point, respectively; Step S3273: Connect the first mountain range feature point and the second mountain range feature point through a straight line to obtain a first mountain range line, connect the second mountain range feature point and the third mountain range feature point through a straight line to obtain a second mountain range line, and so on, connect the d-1th mountain range feature point and the dth mountain range feature point through a straight line to obtain a d-1th mountain range line; Step S3274: obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the first mountain range to obtain the first wind direction angle, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the second mountain range to obtain the second wind direction angle, and so on, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the d-1th mountain range to obtain the d-1th wind direction angle; Step S3275: Calculate the average of the first wind direction angle to the d-1th wind direction angle to obtain the average mountain wind direction angle.

[0013] Furthermore, the step S4 further includes the following specific steps: Step S41: acquiring regional air pressure collection data, and acquiring first wind force impact values ​​corresponding to each wind force sub-region respectively according to the regional air pressure collection data; Step S42: acquiring regional typhoon collection data, and acquiring the second wind force impact value corresponding to each wind force sub-region respectively according to the regional typhoon collection data; Step S43: acquiring regional terrain collection data, and acquiring the third wind force impact value corresponding to each wind force sub-region respectively according to the regional terrain collection data; Step S44: obtaining a wind comprehensive estimation coefficient by calculating the first wind force influence value, the second wind force influence value and the third wind force influence value corresponding to the same wind force sub-region; The wind power comprehensive estimation coefficient is calculated as follows: ; Among them, Fzy is the comprehensive wind force estimation coefficient, Yxz1 is the first wind force impact value, Yxz2 is the second wind force impact value, and Yxz3 is the third wind force impact value; Step S45: obtaining a wind comprehensive assessment coefficient threshold, numerically comparing a plurality of wind comprehensive assessment coefficients with the wind comprehensive assessment coefficient threshold, and performing a regional gale forecast for the wind sub-region according to the numerical comparison results; The step S45 further includes the following specific steps: Step S451: respectively obtaining a first wind force impact threshold, a second wind force impact threshold, and a third wind force impact threshold; Step S452: The first wind force impact threshold, the second wind force impact threshold, and the third wind force impact threshold are calculated to obtain a wind force comprehensive estimation coefficient threshold; The wind comprehensive prediction coefficient threshold is calculated, and the specific formula is as follows: ; Among them, Fzyy is the wind comprehensive estimation coefficient threshold, Yxzy1 is the first wind impact threshold, Yxzy2 is the second wind impact threshold, and Yxzy3 is the third wind impact threshold; Step S453: when the wind comprehensive assessment coefficient is greater than or equal to the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-region will experience strong winds during the strong wind forecast period, and a regional strong wind warning is issued; Step S454: When the wind comprehensive assessment coefficient is less than the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-region will not experience strong winds during the strong wind forecast period, and no regional strong wind warning is issued.

[0014] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention can effectively improve the comprehensiveness of the prediction process and the accuracy of the prediction results by predicting strong winds in wind sub-regions from three aspects: air pressure, typhoon and terrain; 2. The present invention divides the gale forecast area into a number of wind sub-areas, and makes targeted gale forecasts for each wind sub-area by combining terrain factors, thereby improving the regional specificity of the forecast results. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 It is a diagram of the implementation steps of the present invention; Figure 2 It is the sample air pressure diagram of the present invention; Figure 3 The first typhoon movement interception image in the present invention; Figure 4 It is a schematic diagram of the mountain range orientation in the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1 See also Figure 1 The present invention provides a technical solution: a gale forecasting method based on typhoon data fusion technology, comprising the following specific steps: Step S1: Divide the strong wind forecast area into several wind sub-areas, and mark a strong wind forecast period, analyze the air pressure data for each wind sub-area in the strong wind forecast period, and obtain the first wind impact value corresponding to each wind sub-area to obtain the regional air pressure collection data.

[0019] The step S1 further includes the following specific steps: Step S11: obtaining a regional map corresponding to the strong wind forecast area, dividing the strong wind forecast area into a number of wind sub-areas according to the regional map, and randomly selecting a wind sub-area from the divided wind sub-areas as a sample wind sub-area to obtain regional division data; Step S12: Mark the time point corresponding to the current moment as the first characteristic time point, select a high wind forecast period within the time range after the first characteristic time point, and the interval between the high wind forecast period and the first characteristic time point is the first interval length; Step S13: selecting a second characteristic time point within the time range before the first characteristic time point, and the interval between the first characteristic time point and the second characteristic time point is the second interval, and naming the period between the first characteristic time point and the second characteristic time point as a strong wind prediction period; It should be noted here that: In this application, the gale forecast period and gale forecast period mentioned here are the periods of time when typhoon weather affects the gale forecast area; In the present application, the first interval duration is specifically 24 hours, and the second interval duration is specifically 48 hours; The strong wind forecast area involved here is specifically the smallest geographical unit for weather forecasting. In the present application, the administrative division corresponding to the geographical unit of the strong wind forecast area involved here is the district or county.

[0020] Step S14: analyzing the air pressure data of the sample wind sub-region in the strong wind forecast period to obtain a first wind impact value corresponding to the sample wind sub-region; The step S14 further includes the following specific steps: Step S141: dividing the strong wind prediction period into a plurality of strong wind prediction sub-periods, and naming the obtained plurality of strong wind prediction sub-periods as the first prediction sub-period to the ath prediction sub-period in chronological order; It should be noted here that: In the present application, a referred to here is a numerical value corresponding to the prediction sub-period, and a is an integer greater than 0.

[0021] Step S142: respectively obtain the cycle start time values ​​corresponding to the first prediction sub-cycle to the a-th prediction sub-cycle, obtain the first cycle start time value to the a-th cycle start time value, respectively obtain the time difference between the first cycle start time value to the a-th cycle start time value and the second characteristic time point, and obtain the first characteristic time difference and the a-th characteristic time difference; Step S143: performing air pressure analysis on the first prediction sub-period to obtain a periodic air pressure characteristic value corresponding to the first prediction sub-period, and naming it as the first periodic air pressure characteristic value.

[0022] The step S143 further includes the following specific steps: Step S1431: randomly selecting a number of air pressure monitoring time points within the first prediction sub-period, and selecting a sample air pressure monitoring time point from the obtained multiple air pressure monitoring time points; Step S1432: Please refer to Figure 2 , obtain the air pressure map corresponding to the sample wind sub-area at the sample air pressure monitoring time point, obtain the sample air pressure map, obtain the number of low-pressure centers in the sample air pressure map, and obtain the number value of the sample low-pressure center; Step S1433: obtaining a plurality of characteristic pressure contour lines marked in the sample pressure map, and naming the plurality of characteristic pressure contour lines marked in order from small to large in value as the first characteristic pressure contour line to the bth characteristic pressure contour line.

[0023] It should be noted here that: In the present application, the b involved here is the numerical value corresponding to the characteristic pressure contour line, where b is an integer greater than 0.

[0024] Step S1434: acquiring the pressure values ​​corresponding to the first characteristic pressure contour line to the bth characteristic pressure contour line respectively, to obtain the first characteristic pressure value to the bth characteristic pressure value; Step S1435: obtaining the value of the closest connecting line distance between the first characteristic pressure contour line and the second characteristic pressure contour line through the sample pressure map to obtain the value of the first characteristic distance; obtaining the value of the closest connecting line distance between the second characteristic pressure contour line and the third characteristic pressure contour line through the sample pressure map to obtain the value of the second characteristic distance; and so on; obtaining the value of the closest connecting line distance between the b-1th characteristic pressure contour line and the bth characteristic pressure contour line through the sample pressure map to obtain the value of the b-1th characteristic distance; Step S1436: Calculate the number of sample low-pressure centers, the first characteristic air pressure value to the bth characteristic air pressure value, and the first characteristic distance value to the b-1th characteristic distance value to obtain the air pressure monitoring characteristic value corresponding to the sample air pressure monitoring time point; The specific formula for calculating the characteristic value of air pressure monitoring is as follows: ; Among them, Ztz1 is the pressure monitoring characteristic value corresponding to the sample pressure monitoring time point, Dys is the number value of the sample low-pressure center, Tqyi is the i-th characteristic pressure value, Tqy(i-1) is the i-1th characteristic pressure value, Tjl(i-1) is the i-1th characteristic distance value, and b is the number value corresponding to the characteristic pressure contour line; It should be noted here that: The i-th characteristic air pressure value may be any characteristic air pressure value from the first characteristic air pressure value to the b-th characteristic air pressure value, and the i-1-th characteristic distance value may be any characteristic distance value from the first characteristic distance value to the b-1-th characteristic distance value.

[0025] Step S1437: acquiring the air pressure monitoring characteristic value corresponding to each air pressure monitoring time point in the first prediction sub-period respectively to obtain a plurality of air pressure monitoring characteristic values, and averaging the obtained plurality of air pressure monitoring characteristic values ​​to obtain the air pressure characteristic value of the first period.

[0026] Step S144: acquiring the periodic air pressure characteristic values ​​corresponding to the second prediction sub-period to the a-th prediction sub-period respectively, and obtaining the second periodic air pressure characteristic values ​​to the a-th periodic air pressure characteristic values; Step S145: obtaining a first wind force influence value corresponding to the sample wind force sub-region by calculating the first characteristic time difference to the ath characteristic time difference and the first period air pressure characteristic value to the ath period air pressure characteristic value; The first wind impact value corresponding to the sample wind sub-area is calculated, and the specific formula is as follows: ; Among them, Yxz1 is the first wind impact value corresponding to the sample wind sub-area, Ztzi is the characteristic value of air pressure in the i-th period, Stci is the i-th characteristic time difference, and a is the quantity value corresponding to the strong wind prediction sub-period; It should be noted here that: The i-th period air pressure characteristic value may be any one of the first period air pressure characteristic value to the a-th period air pressure characteristic value, and the i-th characteristic time difference may be any one of the first characteristic time difference to the a-th characteristic time difference.

[0027] Step S15: acquiring the first wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of first wind force impact values; Step S16: defining the strong wind forecast period, the strong wind prediction cycle, the regional division data and a plurality of first wind force impact values ​​as regional air pressure collection data.

[0028] Step S2: monitoring typhoon data for each wind sub-region according to the regional air pressure collection data, and obtaining regional typhoon collection data according to the monitoring results; The step S2 further includes the following specific steps: Step S21: acquiring regional air pressure collection data, acquiring a strong wind forecast period, a strong wind prediction cycle and regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S22: obtaining a typhoon moving path map corresponding to a strong wind forecast period through weather forecast; Step S23: performing typhoon data analysis on the sample wind sub-region in the strong wind forecast period to obtain a second wind impact value corresponding to the sample wind sub-region; The step S23 further includes the following specific steps: Step S231: marking a typhoon monitoring time point at every typhoon monitoring time interval within the high wind forecast period, obtaining a plurality of typhoon monitoring time points, and naming the obtained plurality of typhoon monitoring time points as the first typhoon monitoring time point to the cth typhoon monitoring time point in chronological order; It should be noted here that: In the present application, c referred to here is a quantitative value corresponding to a typhoon monitoring time point, and c is an integer greater than 0.

[0029] Step S232: Obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point and the strong wind forecast period, and obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point; It should be noted here that: In the present application, the time difference between the first typhoon monitoring time point to the cth typhoon monitoring time point and the strong wind forecast period referred to here is specifically the time difference between the first typhoon monitoring time point to the cth typhoon monitoring time point and the start time point of the period corresponding to the strong wind forecast period.

[0030] Step S233: By analyzing the typhoon movement path map, a typhoon monitoring impact value corresponding to the first typhoon monitoring time point is obtained, and it is named the first typhoon monitoring impact value.

[0031] The step S233 further includes the following specific steps: Step S2331: intercepting the typhoon movement path map corresponding to the first typhoon monitoring time point to obtain a first typhoon movement intercepted image; Step S2332: In the first typhoon movement intercepted image, mark the geometric center of the sample wind sub-area as the first image marking point, mark several typhoon feature points in the typhoon movement path, and the distance interval between every two consecutive typhoon feature points is equal. Randomly select a typhoon feature point from the multiple typhoon feature points obtained as the sample typhoon feature point.

[0032] Step S2333: Obtain sample typhoon impact distance; The details are as follows: Step S23331: obtaining the typhoon movement speed, typhoon wind force level and reference impact distance in the first typhoon movement intercepted image; Step S23332: Calculate the sample typhoon impact distance by using the typhoon moving speed, typhoon wind force level and reference impact distance; The influence distance of the sample typhoon is calculated as follows: ; Among them, Tyj is the sample typhoon impact distance, Vtf is the typhoon moving speed, Fdj is the typhoon wind force level, and Jlj is the benchmark impact distance.

[0033] It should be noted here that: The benchmark impact distance involved here is a fixed distance value set artificially.

[0034] Step S2334: In the first typhoon motion intercepted image, a typhoon transit radiation circle is marked with the sample typhoon feature point as the center and the sample typhoon impact distance as the radius.

[0035] Step S2335: Obtaining the sample area safety distance; The details are as follows: Step S23351: Obtain the regional population value, the average height of regional buildings, and the reference safety distance corresponding to the sample wind sub-region; Step S23352: Calculate the sample area safety distance by using the regional population value, the average height of regional buildings, and the reference safety distance; The safety distance of the sample area is calculated, and the specific formula is as follows: ; Among them, Aqj is the safety distance of the sample area, Jaj is the benchmark safety distance, Rkz is the regional population value, and GDP is the average height of regional buildings.

[0036] Among them, the benchmark safety distance is a fixed distance value set based on historical typhoon cases; Step S2336: Please refer to Figure 3 , in the first typhoon moving intercepted image, take the first image marking point as the center of the circle and the sample area safety distance as the radius to mark a sample area safety circle.

[0037] Step S2337: In the first typhoon moving intercepted image, the overlapping area between the sample area safety circle and the typhoon transit radiation circle is marked as a safety radiation area, and the area value of the safety radiation area is obtained to obtain the typhoon impact area value corresponding to the sample typhoon feature point; Step S2338: respectively obtain the typhoon impact area value corresponding to each typhoon feature point in the first typhoon motion intercepted image to obtain multiple typhoon impact area values, and average the multiple typhoon impact area values ​​to obtain the first typhoon monitoring impact value.

[0038] Step S234: acquiring the typhoon monitoring impact values ​​corresponding to the second typhoon monitoring time point to the cth typhoon monitoring time point respectively, and obtaining the second typhoon monitoring impact value to the cth typhoon monitoring impact value; Step S235: obtaining a second wind force influence value corresponding to the sample wind force sub-region by calculating the first typhoon monitoring time difference to the cth typhoon monitoring time difference and the first typhoon monitoring influence value to the cth typhoon monitoring influence value; The second wind force impact value is calculated, and the specific formula is as follows: ; Among them, Yxz2 is the second wind force impact value corresponding to the sample wind force sub-area, Tyxi is the ith typhoon monitoring impact value, Jtci is the ith typhoon monitoring time difference, and c is the quantity value corresponding to the typhoon monitoring time point; It should be noted here that: The i-th typhoon monitoring impact value may be any typhoon monitoring impact value from the first typhoon monitoring impact value to the c-th typhoon monitoring impact value, and the i-th typhoon monitoring time difference may be any typhoon monitoring time difference from the first typhoon monitoring time difference to the c-th typhoon monitoring time difference; Step S24: acquiring the second wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of second wind force impact values; Step S25: defining a plurality of second wind force impact values ​​and a typhoon movement path map as regional typhoon collection data.

[0039] Step S3: performing regional terrain analysis on each wind sub-region according to the regional air pressure collection data and the regional typhoon collection data, and obtaining regional terrain collection data according to the analysis results; The step S3 further includes the following specific steps: Step S31: acquiring regional air pressure collection data, acquiring regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S32: performing terrain analysis on the sample wind sub-region to obtain a third wind impact value corresponding to the sample wind sub-region; The step S32 further includes the following specific steps: Step S321: obtaining a regional map corresponding to the sample wind sub-region, marking the vegetation-covered area as a first characteristic area in the regional map, and marking the building-covered area as a second characteristic area in the regional map; Step S322: respectively acquiring the area value corresponding to the first characteristic region to obtain the first area value, and acquiring the area value corresponding to the second characteristic region to obtain the second area value; Step S323: acquiring the area value corresponding to the sample wind sub-region to obtain a third area value; Step S324: calculating the ratio of the area value of the first region to the area value of the third region to obtain a first characteristic area ratio, and calculating the ratio of the area value of the second region to the area value of the third region to obtain a second characteristic area ratio; Step S325: marking a characteristic terrain identification area at the edge of the regional map corresponding to the sample wind sub-area; Step S326: if there is no mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio and the second characteristic area ratio are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; The third wind impact value corresponding to the sample wind sub-area is calculated as follows: ; Among them, Yxz3 is the third wind force influence value corresponding to the sample wind force sub-region, Tmb1 is the first characteristic area ratio, and Tmb2 is the second characteristic area ratio.

[0040] Step S327: if there is mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio, the second characteristic area ratio and the average angle of mountain wind direction are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; ; Among them, Yxz3 is the third wind influence value corresponding to the sample wind sub-area, Tmb1 is the first characteristic area ratio, Tmb2 is the second characteristic area ratio, and Fxj is the average angle of mountain wind direction.

[0041] The step S327 further includes the following specific steps: Step S3271: Acquire regional typhoon collection data, obtain a typhoon movement path map based on the regional typhoon collection data, and obtain the typhoon prevailing wind direction corresponding to the sample wind sub-region based on the typhoon movement path map; It should be noted here that: The prevailing wind direction of the typhoon involved here refers specifically to the direction in which the typhoon moves; Step S3272: Please refer to Figure 4 , obtaining the mountain range direction corresponding to the mountain terrain, selecting a number of mountain range feature points in the mountain range direction, and the distance between each two consecutive mountain range feature points is equal, and naming the selected multiple mountain range feature points as the first mountain range feature point to the dth mountain range feature point; It should be noted here that: In this application, d is the numerical value corresponding to the characteristic point of the mountain range; Step S3273: Connect the first mountain range feature point and the second mountain range feature point through a straight line to obtain a first mountain range line, connect the second mountain range feature point and the third mountain range feature point through a straight line to obtain a second mountain range line, and so on, connect the d-1th mountain range feature point and the dth mountain range feature point through a straight line to obtain a d-1th mountain range line; Step S3274: obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the first mountain range to obtain the first wind direction angle, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the second mountain range to obtain the second wind direction angle, and so on, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the d-1th mountain range to obtain the d-1th wind direction angle; Step S3275: Calculate the average of the first wind direction angle to the d-1th wind direction angle to obtain the average mountain wind direction angle.

[0042] Step S33: acquiring the third wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of third wind force impact values; Step S34: defining a plurality of third wind impact values ​​as regional terrain acquisition data.

[0043] Step S4: forecasting regional gale for each wind sub-region according to the regional air pressure data, the regional typhoon data and the regional terrain data; The step S4 further includes the following specific steps: Step S41: acquiring regional air pressure collection data, and acquiring first wind force impact values ​​corresponding to each wind force sub-region respectively according to the regional air pressure collection data; Step S42: acquiring regional typhoon collection data, and acquiring the second wind force impact value corresponding to each wind force sub-region respectively according to the regional typhoon collection data; Step S43: acquiring regional terrain collection data, and acquiring the third wind force impact value corresponding to each wind force sub-region respectively according to the regional terrain collection data; Step S44: obtaining a wind comprehensive estimation coefficient by calculating the first wind force influence value, the second wind force influence value and the third wind force influence value corresponding to the same wind force sub-region; The wind power comprehensive estimation coefficient is calculated as follows: ; Among them, Fzy is the comprehensive wind force estimation coefficient, Yxz1 is the first wind force impact value, Yxz2 is the second wind force impact value, and Yxz3 is the third wind force impact value.

[0044] Step S45: obtaining a wind comprehensive assessment coefficient threshold, numerically comparing a plurality of wind comprehensive assessment coefficients with the wind comprehensive assessment coefficient threshold, and performing a regional gale forecast for the wind sub-region according to the numerical comparison results; The step S45 further includes the following specific steps: Step S451: respectively obtaining a first wind force impact threshold, a second wind force impact threshold, and a third wind force impact threshold; It should be noted here that: In the present application, the first wind impact threshold, the second wind impact threshold and the third wind impact threshold involved here are respectively the minimum first wind impact value, the minimum second wind impact value and the maximum third wind impact value corresponding to the strong wind warning; Step S452: The first wind force impact threshold, the second wind force impact threshold, and the third wind force impact threshold are calculated to obtain a wind force comprehensive estimation coefficient threshold; The wind comprehensive prediction coefficient threshold is calculated, and the specific formula is as follows: ; Among them, Fzyy is the wind comprehensive estimation coefficient threshold, Yxzy1 is the first wind impact threshold, Yxzy2 is the second wind impact threshold, and Yxzy3 is the third wind impact threshold; Step S453: when the wind comprehensive assessment coefficient is greater than or equal to the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-region will experience strong winds during the strong wind forecast period, and a regional strong wind warning is issued; Step S454: When the wind comprehensive assessment coefficient is less than the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-region will not experience strong winds during the strong wind forecast period, and no regional strong wind warning is issued.

[0045] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0046] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A gale forecasting method based on typhoon data fusion technology, characterized in that: include: Step S1: Divide the strong wind forecast area into several wind sub-areas, mark a strong wind forecast period, analyze the air pressure data of each wind sub-area in the strong wind forecast period, and obtain the first wind impact value corresponding to each wind sub-area to obtain regional air pressure collection data; Step S2: performing typhoon data monitoring on each wind sub-region in the strong wind forecast period according to the regional air pressure collection data, and respectively obtaining the second wind impact value corresponding to each wind sub-region to obtain regional typhoon collection data; Step S3: performing regional terrain analysis on each wind sub-region in the strong wind forecast period according to the regional air pressure collection data and the regional typhoon collection data, and respectively obtaining the third wind impact value corresponding to each wind sub-region to obtain regional terrain collection data; Step S4: Perform regional gale forecast for each wind sub-region based on the regional air pressure data, regional typhoon data and regional terrain data.

2. The gale forecasting method based on typhoon data fusion technology according to claim 1 is characterized in that: The step S1 further includes the following specific steps: Step S11: obtaining a regional map corresponding to the strong wind forecast area, dividing the strong wind forecast area into a number of wind sub-areas according to the regional map, and randomly selecting a wind sub-area from the divided wind sub-areas as a sample wind sub-area to obtain regional division data; Step S12: Mark the time point corresponding to the current moment as the first characteristic time point, select a high wind forecast period within the time range after the first characteristic time point, and the interval between the high wind forecast period and the first characteristic time point is the first interval length; Step S13: selecting a second characteristic time point within the time range before the first characteristic time point, and the interval between the first characteristic time point and the second characteristic time point is the second interval, and naming the period between the first characteristic time point and the second characteristic time point as a strong wind prediction period; Step S14: analyzing the air pressure data of the sample wind sub-region in the strong wind forecast period to obtain a first wind impact value corresponding to the sample wind sub-region; Step S15: acquiring the first wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of first wind force impact values; Step S16: defining the strong wind forecast period, the strong wind prediction cycle, the regional division data, and a plurality of first wind force impact values ​​as regional air pressure collection data; The step S14 further includes the following specific steps: Step S141: dividing the strong wind prediction period into a plurality of strong wind prediction sub-periods, and naming the obtained plurality of strong wind prediction sub-periods as the first prediction sub-period to the ath prediction sub-period in chronological order; Step S142: respectively obtain the cycle start time values ​​corresponding to the first prediction sub-cycle to the a-th prediction sub-cycle, obtain the first cycle start time value to the a-th cycle start time value, respectively obtain the time difference between the first cycle start time value to the a-th cycle start time value and the second characteristic time point, and obtain the first characteristic time difference and the a-th characteristic time difference; Step S143: performing air pressure analysis on the first prediction sub-period to obtain a periodic air pressure characteristic value corresponding to the first prediction sub-period, and naming the periodic air pressure characteristic value as the first periodic air pressure characteristic value; Step S144: acquiring the periodic air pressure characteristic values ​​corresponding to the second prediction sub-period to the a-th prediction sub-period respectively, and obtaining the second periodic air pressure characteristic values ​​to the a-th periodic air pressure characteristic values; Step S145: obtaining a first wind force influence value corresponding to the sample wind force sub-region by calculating the first characteristic time difference to the ath characteristic time difference and the first period air pressure characteristic value to the ath period air pressure characteristic value; The first wind impact value corresponding to the sample wind sub-area is calculated, and the specific formula is as follows: ； Among them, Yxz1 is the first wind impact value corresponding to the sample wind sub-area, Ztzi is the pressure characteristic value of the i-th period, Stci is the i-th characteristic time difference, and a is the quantitative value corresponding to the strong wind prediction sub-period.

3. The gale forecasting method based on typhoon data fusion technology according to claim 2 is characterized in that: The step S143 further includes the following specific steps: Step S1431: randomly selecting a number of air pressure monitoring time points within the first prediction sub-period, and selecting a sample air pressure monitoring time point from the obtained multiple air pressure monitoring time points; Step S1432: Obtain the air pressure map corresponding to the sample wind sub-area at the sample air pressure monitoring time point to obtain the sample air pressure map, obtain the number of low-pressure centers in the sample air pressure map, and obtain the number value of the sample low-pressure centers; Step S1433: obtaining a plurality of characteristic pressure contour lines marked in the sample pressure map, and naming the marked plurality of characteristic pressure contour lines in ascending order from the first characteristic pressure contour line to the bth characteristic pressure contour line; Step S1434: acquiring the pressure values ​​corresponding to the first characteristic pressure contour line to the bth characteristic pressure contour line respectively, to obtain the first characteristic pressure value to the bth characteristic pressure value; Step S1435: obtaining the value of the closest connecting line distance between the first characteristic pressure contour line and the second characteristic pressure contour line to obtain the first characteristic distance value, obtaining the value of the closest connecting line distance between the second characteristic pressure contour line and the third characteristic pressure contour line to obtain the second characteristic distance value, and so on, obtaining the value of the closest connecting line distance between the b-1th characteristic pressure contour line and the bth characteristic pressure contour line to obtain the b-1th characteristic distance value; Step S1436: Calculate the number of sample low-pressure centers, the first characteristic air pressure value to the bth characteristic air pressure value, and the first characteristic distance value to the b-1th characteristic distance value to obtain the air pressure monitoring characteristic value corresponding to the sample air pressure monitoring time point; The air pressure monitoring characteristic value is calculated, and the specific formula is as follows: ； Among them, Ztz1 is the pressure monitoring characteristic value corresponding to the sample pressure monitoring time point, Dys is the number value of the sample low-pressure center, Tqyi is the i-th characteristic pressure value, Tqy(i-1) is the i-1th characteristic pressure value, Tjl(i-1) is the i-1th characteristic distance value, and b is the number value corresponding to the characteristic pressure contour line; Step S1437: acquiring the air pressure monitoring characteristic value corresponding to each air pressure monitoring time point in the first prediction sub-period respectively to obtain a plurality of air pressure monitoring characteristic values, and averaging the obtained plurality of air pressure monitoring characteristic values ​​to obtain the air pressure characteristic value of the first period.

4. The gale forecasting method based on typhoon data fusion technology according to claim 1 is characterized in that: The step S2 further includes the following specific steps: Step S21: acquiring regional air pressure collection data, acquiring a strong wind forecast period, a strong wind prediction cycle and regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S22: obtaining a typhoon moving path map corresponding to a strong wind forecast period through weather forecast; Step S23: performing typhoon data analysis on the sample wind sub-region in the strong wind forecast period to obtain a second wind impact value corresponding to the sample wind sub-region; Step S24: acquiring the second wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of second wind force impact values; Step S25: defining a plurality of second wind force impact values ​​and a typhoon movement path map as regional typhoon collection data.

5. The gale forecasting method based on typhoon data fusion technology according to claim 4 is characterized in that: The step S23 further includes the following specific steps: Step S231: marking a typhoon monitoring time point at every typhoon monitoring time interval within the high wind forecast period, obtaining a plurality of typhoon monitoring time points, and naming the obtained plurality of typhoon monitoring time points as the first typhoon monitoring time point to the cth typhoon monitoring time point in chronological order; Step S232: Obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point and the strong wind forecast period, and obtain the time difference between the first typhoon monitoring time point and the cth typhoon monitoring time point; Step S233: Analyzing the typhoon moving path diagram, obtaining a typhoon monitoring impact value corresponding to the first typhoon monitoring time point, and naming it the first typhoon monitoring impact value; Step S234: acquiring the typhoon monitoring impact values ​​corresponding to the second typhoon monitoring time point to the cth typhoon monitoring time point respectively, and obtaining the second typhoon monitoring impact value to the cth typhoon monitoring impact value; Step S235: obtaining a second wind force influence value corresponding to the sample wind force sub-region by calculating the first typhoon monitoring time difference to the cth typhoon monitoring time difference and the first typhoon monitoring influence value to the cth typhoon monitoring influence value; The second wind force impact value is calculated, and the specific formula is as follows: ； Among them, Yxz2 is the second wind impact value corresponding to the sample wind sub-area, Tyxi is the ith typhoon monitoring impact value, Jtci is the ith typhoon monitoring time difference, and c is the quantity value corresponding to the typhoon monitoring time point.

6. The gale forecasting method based on typhoon data fusion technology according to claim 5 is characterized in that: The step S233 further includes the following specific steps: Step S2331: intercepting the typhoon movement path map corresponding to the first typhoon monitoring time point to obtain a first typhoon movement intercepted image; Step S2332: in the first typhoon moving intercepted image, mark the geometric center of the sample wind sub-region as the first image marking point, mark a number of typhoon feature points in the typhoon moving path, and the distance interval between every two consecutive typhoon feature points is equal. Randomly select a typhoon feature point from the obtained multiple typhoon feature points as the sample typhoon feature point; Step S2333: Obtain sample typhoon impact distance; The details are as follows: Step S23331: obtaining the typhoon movement speed, typhoon wind force level and reference impact distance in the first typhoon movement intercepted image; Step S23332: Calculate the sample typhoon impact distance by using the typhoon moving speed, typhoon wind force level and reference impact distance; The influence distance of the sample typhoon is calculated as follows: ； Among them, Tyj is the sample typhoon impact distance, Vtf is the typhoon moving speed, Fdj is the typhoon wind force level, and Jlj is the benchmark impact distance; Step S2334: In the first typhoon motion intercepted image, a typhoon transit radiation circle is marked with the sample typhoon feature point as the center and the sample typhoon impact distance as the radius; Step S2335: Obtaining the sample area safety distance; The details are as follows: Step S23351: Obtain the regional population value, the average height of regional buildings, and the reference safety distance corresponding to the sample wind sub-region; Step S23352: Calculate the sample area safety distance by using the regional population value, the average height of regional buildings, and the reference safety distance; The safety distance of the sample area is calculated, and the specific formula is as follows: ； Among them, Aqj is the safety distance of the sample area, Jaj is the benchmark safety distance, Rkz is the regional population value, and GDP is the average height of regional buildings; Step S2336: In the first typhoon motion intercepted image, a sample area safety circle is marked with the first image marking point as the center of the circle and the sample area safety distance as the radius; Step S2337: In the first typhoon moving intercepted image, the overlapping area between the sample area safety circle and the typhoon transit radiation circle is marked as a safety radiation area, and the area value of the safety radiation area is obtained to obtain the typhoon impact area value corresponding to the sample typhoon feature point; Step S2338: respectively obtain the typhoon impact area value corresponding to each typhoon feature point in the first typhoon motion intercepted image to obtain multiple typhoon impact area values, and average the multiple typhoon impact area values ​​to obtain the first typhoon monitoring impact value.

7. The gale forecasting method based on typhoon data fusion technology according to claim 1 is characterized in that: The step S3 further includes the following specific steps: Step S31: acquiring regional air pressure collection data, acquiring regional division data according to the regional air pressure collection data, and acquiring a sample wind sub-region and a plurality of wind sub-regions according to the regional division data; Step S32: performing terrain analysis on the sample wind sub-region to obtain a third wind impact value corresponding to the sample wind sub-region; Step S33: acquiring the third wind force impact value corresponding to each wind force sub-region respectively to obtain a plurality of third wind force impact values; Step S34: defining a plurality of third wind impact values ​​as regional terrain acquisition data.

8. The gale forecasting method based on typhoon data fusion technology according to claim 7 is characterized in that: The step S32 further includes the following specific steps: Step S321: obtaining a regional map corresponding to the sample wind sub-region, marking the vegetation-covered area as a first characteristic area in the regional map, and marking the building-covered area as a second characteristic area in the regional map; Step S322: respectively acquiring the area value corresponding to the first characteristic region to obtain the first area value, and acquiring the area value corresponding to the second characteristic region to obtain the second area value; Step S323: acquiring the area value corresponding to the sample wind sub-region to obtain a third area value; Step S324: calculating the ratio of the area value of the first region to the area value of the third region to obtain a first characteristic area ratio, and calculating the ratio of the area value of the second region to the area value of the third region to obtain a second characteristic area ratio; Step S325: marking a characteristic terrain identification area at the edge of the regional map corresponding to the sample wind sub-area; Step S326: if there is no mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio and the second characteristic area ratio are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; The third wind impact value corresponding to the sample wind sub-area is calculated as follows: ； Among them, Yxz3 is the third wind force impact value corresponding to the sample wind force sub-region, Tmb1 is the first characteristic area ratio, and Tmb2 is the second characteristic area ratio; Step S327: if there is mountainous terrain in the characteristic terrain identification area, the first characteristic area ratio, the second characteristic area ratio and the average angle of mountain wind direction are calculated to obtain a third wind force influence value corresponding to the sample wind force sub-area; ； Among them, Yxz3 is the third wind influence value corresponding to the sample wind sub-area, Tmb1 is the first characteristic area ratio, Tmb2 is the second characteristic area ratio, and Fxj is the average angle of mountain wind direction.

9. The gale forecasting method based on typhoon data fusion technology according to claim 8, characterized in that: The step S327 further includes the following specific steps: Step S3271: Acquire regional typhoon collection data, obtain a typhoon movement path map based on the regional typhoon collection data, and obtain the typhoon prevailing wind direction corresponding to the sample wind sub-region based on the typhoon movement path map; Step S3272: obtaining the mountain range direction corresponding to the mountainous terrain, selecting a plurality of mountain range feature points in the mountain range direction, wherein the distance between each two consecutive mountain range feature points is equal, and naming the selected plurality of mountain range feature points as the first mountain range feature point to the dth mountain range feature point, respectively; Step S3273: Connect the first mountain range feature point and the second mountain range feature point through a straight line to obtain a first mountain range line, connect the second mountain range feature point and the third mountain range feature point through a straight line to obtain a second mountain range line, and so on, connect the d-1th mountain range feature point and the dth mountain range feature point through a straight line to obtain a d-1th mountain range line; Step S3274: obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the first mountain range to obtain the first wind direction angle, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the second mountain range to obtain the second wind direction angle, and so on, obtaining the angle between the prevailing wind direction of the typhoon and the line connecting the d-1th mountain range to obtain the d-1th wind direction angle; Step S3275: Calculate the average of the first wind direction angle to the d-1th wind direction angle to obtain the average mountain wind direction angle.

10. The gale forecasting method based on typhoon data fusion technology according to claim 1, characterized in that: The step S4 further includes the following specific steps: Step S41: acquiring regional air pressure collection data, and acquiring first wind force impact values ​​corresponding to each wind force sub-region respectively according to the regional air pressure collection data; Step S42: acquiring regional typhoon collection data, and acquiring the second wind force impact value corresponding to each wind force sub-region respectively according to the regional typhoon collection data; Step S43: acquiring regional terrain collection data, and acquiring the third wind force impact value corresponding to each wind force sub-region respectively according to the regional terrain collection data; Step S44: obtaining a wind comprehensive estimation coefficient by calculating the first wind force influence value, the second wind force influence value and the third wind force influence value corresponding to the same wind force sub-region; The wind power comprehensive estimation coefficient is calculated as follows: ； Among them, Fzy is the comprehensive wind force estimation coefficient, Yxz1 is the first wind force impact value, Yxz2 is the second wind force impact value, and Yxz3 is the third wind force impact value; Step S45: obtaining a wind comprehensive assessment coefficient threshold, numerically comparing a plurality of wind comprehensive assessment coefficients with the wind comprehensive assessment coefficient threshold, and performing a regional gale forecast for the wind sub-region according to the numerical comparison results; The step S45 further includes the following specific steps: Step S451: respectively obtaining a first wind force impact threshold, a second wind force impact threshold, and a third wind force impact threshold; Step S452: The first wind force impact threshold, the second wind force impact threshold, and the third wind force impact threshold are calculated to obtain a wind force comprehensive estimation coefficient threshold; The wind comprehensive prediction coefficient threshold is calculated, and the specific formula is as follows: ； Among them, Fzyy is the wind comprehensive estimation coefficient threshold, Yxzy1 is the first wind impact threshold, Yxzy2 is the second wind impact threshold, and Yxzy3 is the third wind impact threshold; Step S453: when the wind comprehensive assessment coefficient is greater than or equal to the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-region will experience strong winds during the strong wind forecast period, and a regional strong wind warning is issued; Step S454: When the wind comprehensive assessment coefficient is less than the wind comprehensive assessment coefficient threshold, it is determined that the corresponding wind sub-area will not experience strong winds during the strong wind forecast period.

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