A terrain classification method and system based on typhoon wind speed prediction

Abstract

The application provides a topographic classification method and system based on typhoon wind speed prediction, and the method comprises the following steps: obtaining topographic basic data of a classification area; constructing a topographic multi-classification set based on regional meteorological model wind speed and the topographic basic data; obtaining typhoon wind speed prediction data and performing risk assessment on the topographic multi-classification set to obtain a risk index grading classification result corresponding to the topography; and obtaining a microtopography distribution map of the classification area based on the risk index grading classification result. The topographic classification method based on typhoon wind speed prediction can realize the risk assessment of a future line under a current wind speed environment by adding the typhoon wind speed prediction data into the topographic classification process for dynamic topographic classification, and the line operation and scheduling efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of micro-terrain classification, in particular to a terrain classification method and system based on typhoon wind speed prediction. BACKGROUND

[0002] When establishing various types of basic power transmission facilities, the influence of weather background on equipment operation and maintenance under different terrain distribution needs to be considered for power grid system. Especially when the power transmission line layout needs to pass through areas with less field survey data, micro-terrain classification technology is particularly important in small climate zones and remote mountainous areas. The existing application practice shows that the micro-terrain classification which can have an important influence on the power transmission line layout mainly includes a series of static geographical terrains such as plain type, mountain type and pass type.

[0003] However, the existing static geographical terrain classification result is static and permanent and not detailed enough. Therefore, a micro-terrain grade classification technology based on local historical climate wind speed state is born. However, due to the lack of input of real-time weather forecast information, the traditional micro-terrain grade classification technology is difficult to consider the predicted changes of future wind speed, so as to make corresponding adjustment to the terrain classification grade, and the overall obtained is still a relatively static terrain classification result, which cannot realize the line risk assessment under the corresponding terrain based on the current wind speed environment, and provide basic technical support for line operation and dispatching. SUMMARY

[0004] The present application aims to provide a terrain classification method and system based on typhoon wind speed prediction to solve the above technical problems, by adding typhoon wind speed prediction data into the terrain classification process for dynamic terrain classification, realizing the assessment of future line risk under the current wind speed environment, and improving the efficiency of line operation and dispatching.

[0005] In order to solve the above technical problems, the present application provides a terrain classification method based on typhoon wind speed prediction, comprising the following steps:

[0006] Obtaining terrain basic data of the classification area;

[0007] Constructing a terrain multi-classification set based on regional meteorological model wind speed and terrain basic data;

[0008] Obtaining typhoon wind speed prediction data and performing risk assessment on the terrain multi-classification set to obtain risk index grading classification results of the corresponding terrain;

[0009] Obtaining a micro-terrain distribution map of the classification area based on the risk index grading classification results.

[0010] In the above scheme, the terrain multi-classification set is constructed based on the regional meteorological model wind speed and terrain basic data, and then the typhoon wind speed prediction data is obtained and added to the terrain classification process to realize risk assessment of the terrain multi-classification set under the current wind speed environment; the risk index grading classification result corresponding to the terrain can realize dynamic classification of the terrain, and finally the micro-terrain distribution map of the classified area is obtained based on the risk index grading classification result, which can directly reflect the classification result and facilitate data checking by operation and maintenance personnel.

[0011] In the above scheme, by adding the typhoon wind speed prediction data to the terrain classification process for dynamic terrain classification, the risk of the future line under the current wind speed environment can be evaluated, and the line operation and scheduling efficiency is improved.

[0012] Further, the terrain basic data of the classified area includes: obtaining terrain height data of the classified area, and calculating terrain slope direction data and terrain slope data through the terrain height data.

[0013] The present application can more directly reflect the relationship between the terrain and the wind speed, realize effective and accurate connection of the terrain classification and the typhoon wind speed prediction data, and guarantee the reliability of the classification result.

[0014] Further, the terrain multi-classification set is constructed based on the regional meteorological model wind speed and terrain basic data, specifically: the terrain multi-classification set including plain type, pass type, water vapor increase type, high mountain watershed type, terrain uplift type and canyon wind channel type is constructed based on the regional meteorological model wind speed and terrain basic data.

[0015] In the above scheme, the regional meteorological model wind speed belongs to the existing meteorological data, which records the historical wind speed data of a region. The terrain multi-classification set is constructed based on the regional meteorological model wind speed and terrain basic data, so that the terrain multi-classification set can not only reflect the height, slope and slope direction of the terrain, but also reflect the wind speed and direction, making the terrain multi-classification set closer to the actual situation and laying a foundation for subsequent dynamic terrain classification.

[0016] Further, the typhoon wind speed prediction data is obtained and the risk of the terrain multi-classification set is evaluated to obtain the risk index grading classification result corresponding to the terrain, specifically:

[0017] For any terrain in the terrain multi-classification set, a basic risk level is assigned;

[0018] The typhoon wind speed prediction data is obtained and the risk threshold value of the terrain is calculated;

[0019] The base risk level of the terrain is adjusted according to the risk threshold value, and a risk index grading classification result of the terrain is obtained.

[0020] In the above scheme, the typhoon wind speed prediction data is added to the terrain classification process, the risk threshold value of the terrain is calculated through the typhoon wind speed prediction data, the predicted change of the future wind speed can be considered, and the terrain classification level is dynamically adjusted, the evaluation of the future line risk under the current wind speed environment is realized, and the line operation and scheduling efficiency is improved.

[0021] Further, the typhoon wind speed prediction data is used to calculate the risk threshold value of the terrain, specifically:

[0022] The wind speed data and wind direction data in the typhoon wind speed prediction data are obtained, the terrain threshold wind speed data of the terrain is calculated according to the wind direction data, and the ratio of the wind speed data to the terrain threshold wind speed data is taken as the risk threshold value of the terrain.

[0023] In the above scheme, the wind speed and wind direction of the typhoon wind speed prediction are organically combined into the risk assessment of the terrain, the evaluation of the line risk caused by the typhoon wind speed under different terrains is realized, and the reliability and accuracy of the risk assessment are improved.

[0024] The present application also provides a terrain classification system based on typhoon wind speed prediction, comprising a terrain basic data acquisition module, a terrain classification module, a terrain risk index grading module and a distribution map drawing module, wherein:

[0025] The terrain basic data acquisition module is used to acquire the terrain basic data of the classification area.

[0026] The terrain classification module is used to construct a terrain multi-classification set based on the regional meteorological model wind speed and the terrain basic data.

[0027] The terrain risk index grading module is used to acquire the typhoon wind speed prediction data and perform risk assessment on the terrain multi-classification set, and obtain the risk index grading classification result corresponding to the terrain.

[0028] The distribution map drawing module is used to acquire the micro-terrain distribution map of the classification area based on the risk index grading classification result.

[0029] Further, the terrain basic data acquisition module is used to acquire the terrain basic data of the classification area, comprising: acquiring the terrain height data of the classification area, and calculating the terrain slope direction data and the terrain slope data through the terrain height data.

[0030] Further, the terrain classification module is configured to construct a terrain multi-classification set based on the regional meteorological model wind speed and terrain basic data, specifically, to construct a terrain multi-classification set including the plain type, the pass type, the water vapor increase type, the high mountain watershed type, the terrain uplift type and the canyon wind channel type based on the regional meteorological model wind speed and terrain basic data.

[0031] Further, the terrain risk index grading module is configured to obtain typhoon wind speed prediction data and perform risk assessment on the terrain multi-classification set to obtain a risk index grading classification result corresponding to the terrain, specifically:

[0032] For any terrain in the terrain multi-classification set, a basic risk level is assigned to the terrain;

[0033] Obtain typhoon wind speed prediction data to perform risk threshold value calculation on the terrain;

[0034] Adjust the basic risk level of the terrain according to the risk threshold value to obtain a risk index grading classification result of the terrain.

[0035] Further, in the terrain risk index grading module, the typhoon wind speed prediction data is obtained to perform risk threshold value calculation on the terrain, specifically, wind speed data and wind direction data in the typhoon wind speed prediction data are obtained, terrain threshold wind speed data of the terrain is calculated according to the wind direction data, and the ratio of the wind speed data to the terrain threshold wind speed data is taken as the risk threshold value of the terrain.

[0036] The application also provides a terrain classification device based on typhoon wind speed prediction, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor implements a terrain classification method based on typhoon wind speed prediction when executing the computer program.

[0037] The application also provides a storage medium comprising a stored computer program, wherein the storage medium controls a device where the storage medium is located to execute the terrain classification method based on typhoon wind speed prediction when the computer program runs. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 A terrain classification method based on typhoon wind speed prediction provided by an embodiment of the application is provided with a flowchart;

[0039] Figure 2 A height data sample diagram provided by an embodiment of the application is provided;

[0040] Figure 3 A terrain classification system module connection diagram based on typhoon wind speed prediction provided by an embodiment of the application is provided. DETAILED DESCRIPTION

[0041] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0042] Please refer to Figure 1 The present embodiment provides a terrain classification method based on typhoon wind speed prediction, comprising the following steps:

[0043] S1: obtaining terrain basic data of a classification area;

[0044] S2: constructing a terrain multi-classification set based on regional meteorological model wind speed and terrain basic data;

[0045] S3: obtaining typhoon wind speed prediction data and performing risk assessment on the terrain multi-classification set to obtain a risk index grading classification result corresponding to the terrain;

[0046] S4: obtaining a micro-terrain distribution map of the classification area based on the risk index grading classification result.

[0047] In the present embodiment, the terrain multi-classification set is constructed based on the regional meteorological model wind speed and the terrain basic data, and then the typhoon wind speed prediction data is added to the terrain classification process to realize risk assessment on the terrain multi-classification set under the current wind speed environment. The risk index grading classification result corresponding to the terrain can realize dynamic classification of the terrain, and finally the micro-terrain distribution map of the classification area is obtained based on the risk index grading classification result, which can intuitively reflect the classification result and facilitate data viewing by operation and maintenance personnel.

[0048] In the present embodiment, by adding the typhoon wind speed prediction data to the terrain classification process for dynamic terrain classification, the risk of the future line under the current wind speed environment can be evaluated, and the line operation and maintenance scheduling efficiency is improved.

[0049] Further, the terrain basic data of the classification area comprises: obtaining terrain height data of the classification area, and calculating terrain slope direction data and terrain slope data through the terrain height data.

[0050] It should be noted that the terrain slope direction data and the terrain slope data can be calculated in the following manner, please refer to Figure 2 For the convenience of describing the calculation process in the present embodiment, the entire classification area is gridded, and the smallest analysis unit is refined based on the target position e, that is, the calculation is performed in a horizontal small area with a 3*3 grid distance. Figure 2In the formula, e1-e8 represent the specific altitudes of different grid points, i.e., the terrain height data in the data. The specific calculation process of the terrain slope data in different directions is as follows:

[0051]

[0052]

[0053]

[0054] In the formula, slope x represents the slope component in the x-axis direction, and slope y represents the slope component in the y-axis direction, which are both calculated by the height difference of the corresponding point divided by the horizontal distance of the corresponding point. The slope represents the terrain slope data. At the same time, the terrain aspect data can also be calculated, which is specifically represented as:

[0055]

[0056] In the formula, A represents the terrain aspect data of the corresponding point. In the specific calculation process, when calculating the edge data of the calculation area, the 0-value boundary on the periphery can be directly taken for calculation, and the terrain slope data and the terrain aspect data are calculated on each grid point.

[0057] Since the embodiment considers the evaluation of different terrains on the future route risk under the current wind speed environment, the terrain aspect data and the terrain slope data need to be accurately calculated based on the terrain height data, which can more intuitively reflect the relationship between the terrain and the wind speed, realize the effective and accurate connection of the terrain classification and the typhoon wind speed prediction data, and guarantee the reliability of the classification result.

[0058] It should be noted that the embodiment can obtain the terrain basic data of the classification area through a meteorological model system. The meteorological model system can be a CMA-GD model system developed and applied by the meteorological bureau, which has three-dimensional atmospheric modeling and prediction data output capability, and records terrain basic data and regional meteorological model wind speed. Through the multi-scale data fusion analysis module of the meteorological model original dynamic initialization framework of the meteorological model system, the data situation of the classification area can be generated, and the horizontal spatial resolution of the terrain height data of the classification area is 90 meters. The horizontal spatial resolution can be set according to the actual situation, and 90 meters here refers to a terrain data set with very high horizontal resolution, and the grid interval is uniformly 90 meters.

[0059] Further, the terrain multi-classification set is constructed based on the regional meteorological model wind speed and terrain basic data, specifically: the terrain multi-classification set including plain type, pass type, water vapor increase type, high mountain watershed type, terrain uplift type and canyon wind channel type is constructed based on the regional meteorological model wind speed and terrain basic data.

[0060] In the embodiment, the regional meteorological model wind speed belongs to existing meteorological data, which records the historical wind speed data of a region. The terrain multi-classification set is constructed based on the regional meteorological model wind speed and terrain basic data, so that the terrain multi-classification set not only can reflect the height, slope and slope direction of the terrain, but also can reflect the wind speed and wind direction, so that the terrain multi-classification set is closer to the actual situation, and lays a foundation for subsequent dynamic terrain classification.

[0061] It should be noted that the plain type refers to a terrain fluctuation of less than 150 meters, and the route covered therein is only affected by the local surface wind speed. The pass type refers to the pass formed by the stretching mountain, which is the place where the airflow is concentrated and accelerated. When the route is in the pass or across the pass, the local strong wind will cause the wind speed to increase sharply, and there is a greater wind-induced damage risk. The water vapor increase type refers to the route near a larger river or lake. When a cold wave invades, the air temperature drops below 0 degrees Celsius. Due to the high water vapor content in the air of this terrain, it is more likely to occur serious icing of the route. The high mountain watershed type refers to the route crossing the watershed. It is open and easy to appear strong wind and serious icing, especially on the mountain top and the windward slope. The air mass containing supercooled water droplets is forced to rise along the slope under the action of wind force and adiabatic expansion, so that the content of supercooled water droplets increases, resulting in increased icing on the route. The terrain uplift type refers to a sudden peak in a plain or hilly area, or a platform on one side of a basin that is lower and the other side that is higher. Due to sufficient water vapor in the basin, the humidity is large, and cold air is easy to rise along the slope, forming clouds and mists on the top or platform. When a cold wave invades in winter, serious icing phenomenon will occur. The canyon wind channel type refers to the route crossing the canyon, with high and steep banks on both sides. Through the narrow tube effect, a large wind speed is generated, which will cause a large increase in the wind load of the route and increase the risk of wind-induced damage.

[0062] Further, the typhoon wind speed prediction data is obtained, and the risk assessment of the terrain multi-classification set is performed to obtain the risk index grading classification result of the corresponding terrain, specifically:

[0063] For any terrain in the terrain multi-classification set, a basic risk level is assigned to it;

[0064] The risk threshold value of the terrain is calculated by obtaining the typhoon wind speed prediction data;

[0065] The basic risk level of the terrain is adjusted according to the risk threshold value to obtain the risk index grading classification result of the terrain.

[0066] In the embodiment, the typhoon wind speed prediction data is added to the terrain classification process, and the risk threshold of the terrain is calculated by the typhoon wind speed prediction data, so that the predicted change of the future wind speed can be considered, the terrain classification level is dynamically adjusted, the future line risk under the current wind speed environment is evaluated, and the line operation and scheduling efficiency is improved.

[0067] Further, the typhoon wind speed prediction data is used to calculate the risk threshold of the terrain, specifically:

[0068] The wind speed data and wind direction data in the typhoon wind speed prediction data are obtained, the terrain threshold wind speed data of the terrain is calculated according to the wind direction data, and the ratio of the wind speed data to the terrain threshold wind speed data is calculated as the risk threshold of the terrain.

[0069] It should be noted that in the actual risk threshold calculation process, the terrain height data, terrain slope data and terrain slope direction data of different terrains can be modeled and analyzed to obtain a static terrain classification model. The terrain height data, terrain slope data, terrain slope direction data, wind speed data and wind direction data are combined by using existing normalization technology to build a dynamic terrain classification model, so as to realize the classification evaluation of different micro-terrain classification corresponding to the dynamic typhoon wind disaster terrain risk level. The dynamic terrain classification model can be:

[0070] Taking the pass-type terrain as an example, after obtaining the terrain height data, terrain slope data and terrain slope direction data of the terrain, a basic risk level index value 50 (the value range is 0-100) is assigned to the grid area where the terrain is located, indicating the basic risk level of the corresponding type. Then, according to the classification of the terrain, the corresponding wind disaster occurrence threshold wind speed is obtained, and the wind direction-slope direction angle can be calculated according to the wind direction data and the terrain slope direction data. If the wind speed data in the typhoon wind speed prediction data exceeds the wind disaster occurrence threshold wind speed, or the wind speed data is lower than the wind disaster occurrence threshold wind speed but the wind direction-slope direction angle is less than 90 degrees, it means that the terrain is under the direct threat of the typhoon, and it needs to be dynamically adjusted. The ratio of the wind speed data to the terrain threshold wind speed data is calculated as the risk threshold of the terrain. The process of adjusting the basic risk level of the terrain based on the risk threshold can be:

[0071] If the ratio is 0-0.2, adjust the basic risk level index value by-40; if the ratio is 0.2-0.4, adjust the basic risk level index value by-30; if the ratio is 0.4-0.6, adjust the basic risk level index value by-20; if the ratio is 0.6-0.8, adjust the basic risk level index value by-10; if the ratio is 0.8-1.2, adjust the basic risk level index value by 0; if the ratio is 1.2-1.4, adjust the basic risk level index value by+10; if the ratio is 1.4-1.6, adjust the basic risk level index value by+20; if the ratio is 1.6-1.8, adjust the basic risk level index value by+30; if the ratio is 1.8-2.0, adjust the basic risk level index value by+40; if the ratio is 2.0 or more, adjust the basic risk level index value by+50. After adjusting the basic risk level index value, the adjusted basic risk level is divided into 10 risk index levels from small to large, and the size of the basic risk level represents the size of the corresponding classification risk in turn. Thus, the risk index classification result corresponding to the terrain can be obtained.

[0072] In this embodiment, the typhoon wind speed prediction wind speed and wind direction are organically combined into the risk assessment of the terrain, the risk assessment of the line under the typhoon wind speed under different terrains is realized, and the reliability and accuracy of the risk assessment are improved.

[0073] Since the power grid transmission equipment is exposed to the wind and rain environment for a long time, it is extremely susceptible to the influence of strong wind. Before a large typhoon arrives, this embodiment can dynamically classify the terrain based on the prediction data of the typhoon, thereby realizing the risk assessment of the line under each terrain under the typhoon, which can intensively deploy emergency resources, effectively makes up for the shortcomings of the existing static terrain classification, and more efficiently and clearly points out the future line risk level under the current wind speed environment, so as to make a timely risk assessment of a large range of terrain and improve the line operation and dispatching efficiency.

[0074] Further, based on the risk index classification result, a micro-terrain distribution map of the classified area is obtained, specifically:

[0075] Based on the risk index classification result, a micro-terrain distribution map of the classified area is obtained, specifically:

[0076] It should be noted that after obtaining the risk index classification result, the obtained result needs to be reasonably analyzed. Since dynamic analysis is a new type of classification, compared with the traditional static logical classification, program logic loopholes may occur, and reasonable analysis based on past experience can effectively avoid the occurrence of such loopholes. Through reasonable analysis, the relationship between the new classification and the traditional static classification can be basically determined.

[0077] The above embodiment introduces the forecast wind direction and speed data during the typhoon passage based on the existing static micro-terrain classification model, which mainly focuses on weather elements. The angle between the slope direction and the forecast wind direction determines whether there is a specific risk for the terrain in the future, and the ratio of the wind speed to the threshold wind speed confirms the risk index value of the terrain under specific conditions. By superimposing the forecast results of the near-surface layer wind speed of the numerical model on the micro-terrain classification data, the final micro-terrain distribution map is obtained. Compared with the existing classification scheme, the classification data of the embodiment has more detailed data support for disaster risk prediction and early warning caused by typhoon passage and other strong winds in the near future (within 7 days). At the same time, since the embodiment uses relatively fine hundred-meter-level terrain data, it has a certain display effect on local wind disasters caused by local micro-terrain.

[0078] See Figure 3 The embodiment proposes a terrain classification system based on typhoon wind speed prediction, which is used to implement the above-mentioned terrain classification method based on typhoon wind speed prediction, and includes a terrain basic data acquisition module, a terrain classification module, a terrain risk index grading module, and a distribution map drawing module. Wherein:

[0079] The terrain basic data acquisition module is used to acquire terrain basic data of the classification area;

[0080] The terrain classification module is used to construct a terrain multi-classification set based on regional meteorological model wind speed and terrain basic data;

[0081] The terrain risk index grading module is used to acquire typhoon wind speed prediction data and perform risk assessment on the terrain multi-classification set to obtain the risk index grading classification result corresponding to the terrain;

[0082] The distribution map drawing module is used to acquire a micro-terrain distribution map of the classification area based on the risk index grading classification result.

[0083] Further, the terrain basic data acquisition module is used to acquire terrain basic data of the classification area, including: acquiring terrain height data of the classification area, and calculating terrain slope direction data and terrain slope data from the terrain height data.

[0084] Further, the terrain classification module is used to construct a terrain multi-classification set based on regional meteorological model wind speed and terrain basic data, specifically: based on regional meteorological model wind speed and terrain basic data, a terrain multi-classification set including plain type, pass type, water vapor increase type, high mountain watershed type, terrain uplift type, and canyon wind channel type is constructed.

[0085] Further, the terrain risk index grading module is used to acquire typhoon wind speed prediction data and perform risk assessment on the terrain multi-classification set to obtain the risk index grading classification result corresponding to the terrain, specifically:

[0086] For any terrain in the terrain multi-classification set, a basic risk level is assigned to the terrain;

[0087] Typhoon wind speed prediction data is obtained to calculate the risk threshold of the terrain;

[0088] The basic risk level of the terrain is adjusted according to the risk threshold, and a risk index grading classification result of the terrain is obtained.

[0089] Further, in the terrain risk index grading module, the typhoon wind speed prediction data is obtained to calculate the risk threshold of the terrain, specifically: the wind speed data and wind direction data in the typhoon wind speed prediction data are obtained, the terrain threshold wind speed data of the terrain is calculated according to the wind direction data; the ratio of the wind speed data to the terrain threshold wind speed data is taken as the risk threshold of the terrain.

[0090] The system provided by the embodiment is simple in composition and convenient to implement, can add typhoon wind speed prediction data into the terrain classification process to realize dynamic terrain classification, realizes the evaluation of future line risk under the current wind speed environment, and improves the line operation and scheduling efficiency.

[0091] The embodiment also provides a terrain classification device based on typhoon wind speed prediction, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor.

[0092] The embodiment also provides a storage medium comprising a stored computer program, wherein the computer program controls a device where the storage medium is located to execute the terrain classification method based on typhoon wind speed prediction when the computer program runs.

[0093] The above describes the preferred embodiments of the present application, and it should be noted that for those skilled in the art, without departing from the principles of the present application, several improvements and refinements can be made, which are also considered within the protection scope of the present application.

Claims

1. A terrain classification method based on typhoon wind speed prediction, characterized in that, Includes the following steps: Obtain basic terrain data for the categorized region, specifically: obtain terrain elevation data for the categorized region, and calculate terrain aspect data and terrain slope data based on the terrain elevation data; A multi-class terrain dataset was constructed based on regional meteorological model wind speed and terrain data. The process involves acquiring typhoon wind speed forecast data and conducting risk assessments on a multi-class set of terrain features. Specifically, for any terrain feature in the multi-class set, a basic risk level is assigned. Typhoon wind speed forecast data is used to calculate the risk threshold for that terrain. The basic risk level of the terrain is adjusted based on the risk threshold, and the risk index classification result for that terrain is obtained. Micro-topographic distribution maps of the classification areas are obtained based on the risk index classification results; Specifically, the step of obtaining typhoon wind speed prediction data and calculating a risk threshold for the terrain involves: The process involves acquiring wind speed and direction data from typhoon wind speed forecast data, calculating the terrain threshold wind speed data for the terrain based on the wind direction and terrain slope data, specifically: acquiring wind speed and direction data from typhoon wind speed forecast data, obtaining the corresponding wind disaster occurrence threshold wind speed according to the terrain classification, calculating the wind direction-slope angle based on the wind direction and terrain slope data, and calculating the terrain threshold wind speed data for the terrain based on the wind direction-slope angle and the wind disaster occurrence threshold wind speed. The ratio of wind speed data to terrain threshold wind speed data is used as the risk threshold for that terrain.

2. The terrain classification method based on typhoon wind speed prediction according to claim 1, characterized in that, The construction of a multi-class terrain dataset based on regional meteorological model wind speed and terrain baseline data is as follows: Based on regional meteorological model wind speed and topographic data, a multi-classification set of topography was constructed, including plain type, mountain pass type, water vapor enhancement type, high mountain watershed type, topographic lifting type, and canyon wind corridor type.

3. A terrain classification system based on typhoon wind speed prediction, characterized in that, It includes modules for acquiring basic terrain data, terrain classification, terrain risk index grading, and distribution map drawing; among which: The terrain basic data acquisition module is used to acquire terrain basic data of the classified area, specifically: to acquire terrain height data of the classified area, and to calculate terrain aspect data and terrain slope data based on the terrain height data; The terrain classification module is used to construct a multi-classification set of terrain based on regional meteorological model wind speed and basic terrain data; The terrain risk index classification module is used to acquire typhoon wind speed forecast data and perform risk assessment on a multi-class set of terrains to obtain the risk index classification result of the corresponding terrain. Specifically, for any terrain in the multi-class set of terrains, a basic risk level is assigned; typhoon wind speed forecast data is acquired to calculate the risk threshold for the terrain; the basic risk level of the terrain is adjusted according to the risk threshold to obtain the risk index classification result of the terrain. The distribution map drawing module is used to obtain the micro-topography distribution map of the classified area based on the risk index classification results. Specifically, in the terrain risk index classification module, the step of obtaining typhoon wind speed prediction data and calculating the risk threshold for the terrain involves: The process involves acquiring wind speed and direction data from typhoon wind speed forecast data, calculating the terrain threshold wind speed data for the terrain based on the wind direction and terrain slope data, specifically: acquiring wind speed and direction data from typhoon wind speed forecast data, obtaining the corresponding wind disaster occurrence threshold wind speed according to the terrain classification, calculating the wind direction-slope angle based on the wind direction and terrain slope data, and calculating the terrain threshold wind speed data for the terrain based on the wind direction-slope angle and the wind disaster occurrence threshold wind speed. The ratio of wind speed data to terrain threshold wind speed data is used as the risk threshold for that terrain.

4. A terrain classification system based on typhoon wind speed prediction according to claim 3, characterized in that, The terrain classification module is used to construct a multi-classification set of terrain based on regional meteorological model wind speed and basic terrain data, specifically: Based on regional meteorological model wind speed and topographic data, a multi-classification set of topography was constructed, including plain type, mountain pass type, water vapor enhancement type, high mountain watershed type, topographic lifting type, and canyon wind corridor type.

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