Typhoon wind hazard assessment system
Patent Information
- Application Number
- TW114112827
- Authority / Receiving Office
- TW · TW
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-04-02
- Publication Date
- 2026-10-16
- Estimated Expiration
- 2045-04-01
AI Technical Summary
The insurance industry lacks a comprehensive system for analyzing wind hazard, making wind loss risk assessment difficult, especially for typhoons, which are difficult to predict accurately and have a wide impact, leading to subjective and error-prone manual assessments.
A typhoon wind hazard assessment system that includes an image recognition module to process typhoon warning notices, a spatial analysis module to generate hazard level data, a database to store and compare insured object information, and a comparison analysis module to generate standardized hazard and wind potential assessment reports.
Improves the accuracy of wind damage hazard assessment by reducing manual intervention and subjective judgments, enhancing efficiency and reducing human resource consumption, while providing valuable risk management tools for insurance companies.
Smart Images
Figure TWG2TA001080018_001 
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Figure TWG2TA001080018_003
Abstract
Description
Technical Field
[0001] This invention relates to a hazard assessment system, and more particularly to a typhoon wind hazard assessment system for application in the insurance industry. Prior Technology
[0002] Located on the western coast of the Pacific Ocean, Taiwan is frequently affected by typhoons. According to statistics from the Central Weather Administration, from 1911 to 2021, a total of 371 typhoons struck Taiwan, meaning an average of 3 to 4 typhoons make landfall or pass near its coast each year, causing varying degrees of damage. Therefore, typhoon risk management is crucial for property insurance companies. The strong winds and torrential rains brought by typhoons not only cause direct property damage such as building and crop losses, but can also trigger secondary disasters such as landslides and floods, further exacerbating the risk exposure of insurance companies. Without specialized insurance coverage, these risk events will not be included in the claims process, leaving policyholders without due compensation after a disaster.
[0003] Because typhoons have a wide impact and their destructive power is difficult to predict accurately, basic insurance alone is insufficient to cover such risks. Therefore, property insurance companies have added typhoon and flood insurance to specifically cover property damage caused by typhoons and floods, providing a more comprehensive risk transfer mechanism. Typhoon and flood insurance is a type of insurance specifically designed to cover losses caused by natural disasters such as typhoons, typhoons, and floods, aiming to help policyholders reduce economic losses from disasters. It is often offered as a supplement to major insurance policies such as residential fire insurance, commercial fire insurance, auto insurance, construction insurance, and agricultural insurance, compensating for damage to building equipment during construction and operation, damage to inventory and equipment, damage to vehicles caused by typhoons or flooding, and losses in agriculture and aquaculture. Furthermore, typhoon and flood insurance covers both wind damage and flood damage, with the insurance industry currently focusing more on flood damage, primarily because floods have a wider impact and their damage is easier to quantify and assess. However, the insurance industry currently lacks a complete system for analyzing wind hazard, making wind loss risk assessment relatively difficult. Furthermore, while wind assessment can be conducted by using methods from geosciences and physical models in academia to estimate wind conditions, these methods are usually too complex and not easily applied to risk management in the insurance industry. Summary of the Invention
[0004] In view of this, the present invention provides a typhoon wind hazard assessment system, comprising: an image recognition module for receiving a typhoon warning notice to generate first data; a spatial analysis module connected to the image recognition module for receiving the first data to generate hazard level data; a database connected to the image recognition module and the spatial analysis module for storing the first data and the hazard level data; a hazard leveling module connected to the database for receiving information on an insured object and comparing the information on the insured object with the hazard level data to generate a hazard level report; and a comparison analysis module connected to the database and the hazard leveling module for comparing the information on the insured object with the first data to generate a wind potential assessment report.
[0005] The image recognition module further includes an OCR image recognition unit, which is used to receive the typhoon warning notice and extract multiple attribute data from the typhoon warning notice.
[0006] The image recognition module further includes a first parameter processing unit, which is connected to the OCR image recognition unit to receive the attribute data and transfer the attribute data into the first data.
[0007] The spatial analysis module further includes a second parameter processing unit, which is connected to the first parameter processing unit to receive the first data and generate a point layer data based on multiple typhoon center coordinates at different times.
[0008] The spatial analysis module further includes a third parameter processing unit, which is connected to the second parameter processing unit to receive the point layer data and connect the typhoon center coordinates to generate a line layer data.
[0009] The spatial analysis module further includes a fourth parameter processing unit, which is connected to the third parameter processing unit to receive the line layer data and generate surface layer data based on a storm radius.
[0010] The image recognition module is used to receive multiple typhoon warning notices from multiple historical typhoon data to generate multiple first data. The spatial analysis module further includes a level analysis unit, which is connected to the fourth parameter processing unit to receive multiple surface layer data generated by the first data and overlay the surface layer data to generate the hazard level data.
[0011] The hazard classification module receives the coordinates of the insured object's information and compares the coordinates of the insured object's information with the corresponding coordinates of the hazard classification data to classify the hazard classification and generate the hazard classification report.
[0012] The image recognition module receives multiple typhoon warning notices from multiple historical typhoon data to generate multiple first data. The comparison and analysis module stores a predetermined range and compares the multiple first data from multiple historical typhoon data and multiple surface layer data from multiple historical typhoon data in the database with the coordinates of the insured object as the center. It then extracts the first data within the predetermined range of the coordinates to generate a wind potential assessment report.
[0013] These attributes include a storm radius, a maximum wind speed near the center, a maximum instantaneous wind speed, a typhoon coordinate, and a typhoon duration.
[0014] In summary, the typhoon wind hazard assessment system of this invention can analyze historical typhoon data (typhoon warning notices) through an image recognition module and generate hazard level data for the region through a spatial analysis module. This hazard level data includes hazard levels for different regions. Furthermore, the hazard level module compares the coordinates of the insured object with the corresponding coordinate range within the hazard level data stored in the database, thereby generating a hazard level report for the insured object. Moreover, the comparison and analysis module compares multiple first data points and multiple area layer data points of multiple historical typhoon data points in the database within a 20-kilometer radius based on the coordinates of the insured object information, extracting the first data points within the range to generate a wind potential assessment report. Conventional techniques typically require professionals to make subjective judgments based on factors such as building height and glass area to estimate the potential wind damage hazard. This process relies on experience and is easily influenced by subjective factors, leading to errors in wind damage hazard assessment. Compared to conventional technologies, the typhoon wind hazard assessment system of this invention constructs a unified and standardized judgment system to generate a standardized hazard level report and wind potential assessment report, thereby improving the accuracy of wind damage hazard assessment results and reducing the need for manual intervention, significantly reducing the consumption of human resources, and improving the efficiency of wind damage assessment.
[0015] Furthermore, the typhoon hazard assessment system of this invention can be applied to insurance value-added services. For example, within the scope of construction insurance, this invention can provide hazard assessments during the construction of buildings and equipment, assisting policyholders in selecting the building location with the highest risk mitigation benefits before insurance coverage. Moreover, after coverage, this invention can also recommend that policyholders strengthen building structures and equipment protection based on the hazard assessment results to reduce potential losses. The application of this typhoon hazard assessment system not only covers reducing the probability of losses to achieve loss control, but also possesses a preventative function. This invention enhances the value of insurance services by identifying potential risks early and taking effective preventative measures.
[0016] Furthermore, the typhoon hazard assessment system of this invention can also be applied by insurance companies as an important basis for underwriting colleagues to make judgments before underwriting, thus facilitating the conclusion of insurance contracts. Through the typhoon hazard assessment system of this invention, underwriters can quickly and accurately obtain the hazard assessment results of each insured case before the insurance contract is signed, thereby more accurately determining whether the risk meets the company's underwriting conditions. This not only helps insurance companies make more rational and scientific underwriting decisions, but also effectively reduces underwriting risks and improves underwriting efficiency. The application of this system helps insurers gain an advantage in market competition and improve the level of refined management of insurance business, ultimately achieving the best balance between risk and benefit. Simple Explanation of the Diagram
[0017]
[0018] Figure 1 is a functional block diagram illustrating a typhoon wind hazard assessment system according to a specific embodiment of the present invention.
[0019] Figure 2 is a functional block diagram illustrating a typhoon wind hazard assessment system according to another specific embodiment of the present invention.
[0020] Figure 3 is a schematic diagram showing the point layer data.
[0021] Figure 4 is a schematic diagram showing the data of the line layer.
[0022] Figure 5 is a schematic diagram showing the data of the surface layer.
[0023] Figure 6 is a schematic diagram illustrating the hazard level classification data.
[0024] Figure 7 is a partial schematic diagram of a hazard classification report.
[0025] Figure 8 is a schematic diagram illustrating the historical typhoon layer data related to the insured information in the wind potential assessment report. Implementation
[0026] To make the advantages, spirit, and features of the present invention easier and clearer to understand, detailed descriptions and discussions will follow with reference to specific embodiments and the accompanying drawings. It should be noted that these specific embodiments are merely representative examples of the present invention, and the specific methods, apparatus, conditions, materials, etc., exemplified are not intended to limit the present invention or the corresponding specific embodiments. Furthermore, the elements in the figures are only used to express their relative positions and are not drawn to scale; the step numbers in the present invention are only for distinguishing different steps and do not represent the order of the steps, as will be stated previously.
[0027] Please refer to Figure 1. Figure 1 is a functional block diagram illustrating a typhoon wind hazard assessment system 1 according to a specific embodiment of the present invention. As shown in Figure 1, the present invention provides a typhoon wind hazard assessment system 1, which includes an image recognition module 10, a spatial analysis module 20, a database 30, a hazard classification module 40, and a comparison and analysis module 50. In this specific embodiment, the image recognition module 10 is used to receive typhoon warning notices to generate first data. The spatial analysis module 20 is connected to the image recognition module 10 and is used to receive the first data to generate hazard classification data. The database 30 is connected to the image recognition module 10 and the spatial analysis module 20 and is used to store the first data and the hazard classification data. The hazard classification module 40 connects to the database 30 to receive insured property information and compare it with hazard classification data to generate a hazard classification report. The comparison and analysis module 50 connects to the database 30 and the hazard classification module 40 to compare the insured property information with the first data to generate a wind potential assessment report. Typhoon warning slips are publicly available data from the Central Weather Bureau and can include different types of warning slips, such as typhoon alerts, maritime typhoon warnings, and land typhoon warnings. It should be noted that the Central Weather Bureau issues the latest typhoon warning every 3 hours. If the typhoon moves quickly or causes severe impact on certain areas, the update frequency may be shortened to once every 1 to 2 hours, meaning that a complete historical typhoon record contains at least one typhoon warning slip. In this specific embodiment, the image recognition module 10 can receive at least one typhoon warning slip from multiple complete historical typhoon records to generate multiple sets of first data. The first data consists of all relevant data from a complete historical typhoon record. In this specific embodiment, the image recognition module 10 may include technologies such as OCR image recognition, computer vision (CV), Google Docs AI, and large language modeling to identify data in typhoon warning notices, but is not limited to these in practice. In practice, the spatial analysis module may also be a Geographic Information System (GIS), but is not limited to this, and can also be integrated into other compatible software platforms to support diverse spatial data analysis needs. In addition, the file format of the first data is a file format that can be read by the spatial analysis module, i.e., a CSV file. In this specific embodiment, the hazard classification data generated by the spatial analysis module 20 can be a hazard classification map. The spatial analysis module 20 analyzes and counts the cumulative number of times different areas are affected by the radius of a historical typhoon's 10-level storm to calculate and generate a hazard classification map. However, in practice, the statistical standard is not limited to the cumulative number of times a historical typhoon's 10-level storm radius is affected, and can be any level of storm radius.
[0028] In this specific embodiment, the hazard rating map can be divided into five levels, including "High Risk (Risk V)," "High to Medium Risk (Risk IV)," "Medium Risk (Risk III)," "Low to Medium Risk (Risk II)," and "Low Risk (Risk I)." The definitions of these levels are as follows:
[0029]
[0030] Furthermore, the formula for calculating the probability of a Category 10 storm radius impact, as shown in Table 1, is as follows:
[0031]
[0032] In this specific embodiment, the total number of typhoons in Taiwan from 1993 to 2022 is 159. The spatial analysis module 20 of this system calculates the radius of attack of a Category 10 storm according to the above formula to classify the severity level. However, in practice, the statistical interval of "1993 to 2022" in the total number of typhoons in Taiwan from 1993 to 2022 can be customized according to needs, or the annual range can be automatically updated through system settings to ensure the timeliness and flexibility of data analysis.
[0033] In this specific embodiment, the information of the insured object may include the coordinates of the insured object. The hazard classification module 40 receives the coordinates of the insured object and compares them with the corresponding coordinates in the hazard classification data (i.e., the hazard classification map) to generate a hazard classification report. The hazard classification report includes the hazard level of the insured object, but in practice, it is not limited to this; the hazard classification report may also include other relevant data. Furthermore, in practice, the information of the insured object can be not only the coordinates of the insured object, but also the address of the insured object or other identification methods that can be used for location.
[0034] In this specific embodiment, the image recognition module 10 can receive multiple typhoon warning notices from different historical typhoon data to generate multiple sets of first data. The comparison and analysis module 50 pre-stores a predetermined range and compares the first data in the database 30 with the coordinates of the insured property information as the center to extract the first data within the predetermined range of coordinates, thereby generating a wind potential assessment report. That is, the wind potential assessment report includes all historical typhoon data within this predetermined range. In addition, the wind potential assessment report may include historical typhoon layer data related to the insured property information and a historical typhoon table related to the insured property information. In this specific embodiment, the predetermined range can be a radius of 20 kilometers, but it is not limited to this in practice. In practice, it can be customized according to needs, or a suitable range can be extracted through machine learning.
[0035] Please refer to Figure 2. Figure 2 is a functional block diagram illustrating a typhoon wind hazard assessment system 1' according to another specific embodiment of the present invention. As shown in Figure 2, the difference between this specific embodiment and the above-mentioned specific embodiment is that the image recognition module 10 in the typhoon wind hazard assessment system 1' in this specific embodiment further includes an OCR image recognition unit 101 and a first parameter processing unit 102, and the spatial analysis module 20 further includes a second parameter processing unit 201, a third parameter processing unit 202, a fourth parameter processing unit 203, and a level analysis unit 204. In this specific embodiment, the OCR image recognition unit 101 is used to receive at least one typhoon warning slip from a historical typhoon data set to extract multiple attribute data from the at least one typhoon warning slip. The attribute data may include storm radius, maximum wind speed near the center, instantaneous maximum wind speed, typhoon coordinates, and typhoon time, but in practice it is not limited to this scope. The attribute data may also include all relevant data used in this professional field to calculate wind hazard. Furthermore, the typhoon coordinates may further include the typhoon center coordinates and the coordinates of the typhoon's movement path. In this specific embodiment, the first parameter processing unit 102 is connected to the OCR image recognition unit 101 to receive multiple attribute data from a historical typhoon dataset and transfer such attribute data into first data. That is, a first data is all the relevant data of a complete historical typhoon dataset. In this specific embodiment, the OCR image recognition unit 101 can also be used to receive typhoon warning slips from multiple historical typhoon datasets to extract multiple attribute data from multiple typhoon warning slips, and then the first parameter processing unit 102 receives such attribute data to generate multiple first data, that is, the multiple first data is all the relevant data of multiple complete historical typhoon datasets.
[0036] In this specific embodiment, the second parameter processing unit 201 is connected to the first parameter processing unit 102, and is used to receive first data and generate point layer data based on multiple typhoon center coordinates at different times. The third parameter processing unit 202 is connected to the second parameter processing unit 201 and is used to receive the point layer data and connect the typhoon center coordinates to generate line layer data. The fourth parameter processing unit 203 is connected to the third parameter processing unit 202, and is used to receive line layer data and generate area layer data based on the storm radius. The image recognition module 10 is used to receive multiple typhoon warning notices from different historical typhoon data to generate multiple sets of first data. The level analysis unit 204 is connected to the fourth parameter processing unit 203, and is used to receive the multiple area layer data generated by the first data and overlay the area layer data to count the cumulative number of times different areas were hit by the 10-level storm radius of historical typhoons, so as to generate hazard level classification data. However, in practice, the statistical standard is not limited to the cumulative number of times a historical typhoon with a radius of 10 or higher has struck; it can be any level of typhoon radius. Database 30 pre-stores multiple first data points, multiple area layer data points, and hazard classification data from multiple historical typhoon data sources. Comparison and analysis module 50 connects to database 30 and pre-stores a predetermined range. Centered on the coordinates of the insured property information, comparison module 50 compares multiple first data points and multiple area layer data points from multiple historical typhoon data sources in the database to extract the first data points within the predetermined range of coordinates, thereby generating a wind potential assessment report. The wind potential assessment report may include historical typhoon layer data related to the insured property information and a historical typhoon table related to the insured property information. The historical typhoon layer data related to the insured property information is generated by overlaying layer data of historical typhoon data within a predetermined range centered on the coordinates of the insured property information. The historical typhoon table related to the insured property information is a statistical table established from the first data of historical typhoon data within a predetermined range centered on the coordinates of the insured property information. Please note that the typhoon wind force hazard assessment system 1' in this specific embodiment has the same or corresponding components, modules, hazard level categories, and level classification methods as those in the aforementioned specific embodiments, which have been described in detail in the aforementioned specific embodiments, and therefore will not be repeated here.
[0037] Please refer to Figures 3, 4, 5, and 6, and also refer to Figure 2. Figure 3 is a schematic diagram of the point layer data. Figure 4 is a schematic diagram of the line layer data. Figure 5 is a schematic diagram of the area layer data. Figure 6 is a schematic diagram of the hazard level classification data. In a practical application scenario, as shown in Figure 3, the second parameter processing unit 201 generates a point layer data indicating the typhoon center coordinates at different time points based on typhoon warning notices at different time points. As shown in Figure 4, the third parameter processing unit 202 processes the typhoon center coordinates according to the time axis and automatically draws trajectory line segments to generate line layer data. As shown in Figure 5, the fourth parameter processing unit 203 performs ring domain analysis based on the radius of a Category 10 storm to calculate the storm's impact range, thereby generating area layer data. As shown in Figure 6, the rating analysis unit 204 extracts the surface layer data of historical typhoons with a storm radius of 10 from the historical typhoon data from 1993 to 2022, performs layer mapping, and generates hazard rating data using the aforementioned calculation formula and hazard rating definition.
[0038] Please refer to Figures 7 and 8, and in conjunction with Figure 2. Figure 7 is a partial schematic diagram of the hazard classification report. Figure 8 is a schematic diagram of historical typhoon layer data related to the information of the insured object in the wind potential assessment report. In another practical application scenario, as shown in Figure 7, the hazard classification module 40 of the present invention receives the coordinates of the insured object information and compares the coordinates of the insured object information with the corresponding coordinates of the hazard classification data to generate the hazard classification report. That is, if the coordinates of the insured object information [121.5413742, 25.052849], the typhoon wind potential hazard level of the area falls into the medium-high risk (Risk IV). As shown in Figure 8, the comparison and analysis module 50 is used to pre-store a predetermined range, which is a storm radius of 20 kilometers. Centered on the coordinates of the insured property information, it compares multiple surface layer data of the first data and extracts the first data within a storm radius of 20 kilometers of the coordinates to generate the wind potential assessment report. The wind potential assessment report includes historical typhoon layer data related to the insured property information as shown in Figure 8, and a historical typhoon table related to the insured property information. That is, the comparison and analysis module 50 uses the coordinates [121.225794303, 25.007000721] of the insured property information as the center, and compares multiple first data points and multiple area layer data points of multiple historical typhoon data points in the comparison database 30 to extract the first data points within a storm radius of 20 kilometers of that coordinate, thereby generating the historical typhoon layer data and the historical typhoon table related to the insured property information as shown in Figure 8. The historical typhoon table related to the insured property information is as follows:
[0039]
[0040] In summary, the typhoon wind hazard assessment system of this invention can analyze historical typhoon data (typhoon warning notices) through an image recognition module and generate hazard level data for the region through a spatial analysis module. This hazard level data includes hazard levels for different regions. Furthermore, the hazard level module compares the coordinates of the insured object with the corresponding coordinate range within the hazard level data stored in the database, thereby generating a hazard level report for the insured object. Moreover, the comparison and analysis module compares multiple first data points and multiple area layer data points of multiple historical typhoon data points in the database within a 20-kilometer radius based on the coordinates of the insured object information, extracting the first data points within the range to generate a wind potential assessment report. Conventional techniques typically require professionals to make subjective judgments based on factors such as building height and glass area to estimate the potential wind damage hazard. This process relies on experience and is easily influenced by subjective factors, leading to errors in wind damage hazard assessment. Compared to conventional technologies, the typhoon wind hazard assessment system of this invention constructs a unified and standardized judgment system to generate a standardized hazard level report and wind potential assessment report, thereby improving the accuracy of wind damage hazard assessment results and reducing the need for manual intervention, significantly reducing the consumption of human resources and improving the efficiency of wind damage assessment.
[0041] Furthermore, the typhoon hazard assessment system of this invention can be applied to insurance value-added services. For example, within the scope of construction insurance, this invention can provide hazard assessments during the construction of buildings and equipment, assisting policyholders in selecting the building location with the highest risk mitigation benefits before insurance coverage. Moreover, after coverage, this invention can also recommend that policyholders strengthen building structures and equipment protection based on the hazard assessment results to reduce potential losses. The application of this typhoon hazard assessment system not only covers reducing the probability of losses to achieve loss control, but also possesses a preventative function. This invention enhances the value of insurance services by identifying potential risks early and taking effective preventative measures.
[0042] Furthermore, the typhoon hazard assessment system of this invention can also be applied by insurance companies as an important basis for underwriting colleagues to make judgments before underwriting, thus facilitating the conclusion of insurance contracts. Through the typhoon hazard assessment system of this invention, underwriters can quickly and accurately obtain the hazard assessment results of each insured case before the insurance contract is signed, thereby more accurately determining whether the risk meets the company's underwriting conditions. This not only helps insurance companies make more rational and scientific underwriting decisions, but also effectively reduces underwriting risks and improves underwriting efficiency. The application of this system helps insurers gain an advantage in market competition and improve the level of refined management of insurance business, ultimately achieving the best balance between risk and benefit.
[0043] It should be noted that relational terms in this specification, such as “first” and “second”, are used only to distinguish an entity or operation from another entity or operation, and do not require or imply any actual relationship or order between these entities or operations. Furthermore, the words “comprising,” “having,” and “including,” as well as other similar forms, are intended to be equivalent in meaning and are open-ended; one or more items following any of these words do not imply an exhaustive list of such items or that the list is limited to only one or more items. Additionally, the singular forms used in this specification also include the plural forms, unless the context clearly indicates otherwise.
[0044] The detailed description of the preferred embodiments above is intended to more clearly illustrate the features and spirit of the present invention, and is not intended to limit the scope of the invention to the preferred embodiments disclosed above. Rather, the aim is to cover various modifications and equivalent arrangements within the scope of the patent claims made by this invention. Therefore, the scope of the patent claims made by this invention should be interpreted in the broadest possible sense based on the foregoing description, so as to cover all possible modifications and equivalent arrangements.
[0045] 1, 1': Typhoon Wind Hazard Assessment System
[0046] 10: Image Recognition Module
[0047] 20: Spatial Analysis Module
[0048] 30: Database
[0049] 40: Hazard Level Classification Module
[0050] 50: Comparison and Analysis Module
[0051] 101: OCR Image Recognition Unit
[0052] 102: First Parameter Processing Unit
[0053] 201: Second Parameter Processing Unit
[0054] 202: Third Parameter Processing Unit
[0055] 203: Fourth Parameter Processing Unit
[0056] 204: Rating Analysis Unit
Claims
1. A typhoon wind hazard assessment system, comprising: an image recognition module for receiving multiple typhoon warning notices from multiple historical typhoons to generate multiple first data; a spatial analysis module connected to the image recognition module for receiving the first data to generate multiple polygon layer data, and overlaying the polygon layer data layers to calculate the probability of a Category 10 storm radius impact, thereby generating a hazard classification data; a database connected to the image recognition module and the spatial analysis module for storing the first data and the hazard classification data; a hazard classification module connected to the database for receiving a coordinate of an insured object and comparing the coordinate of the insured object information with the hazard classification data to generate a hazard classification report; and a comparison analysis module connected to the database and the hazard classification module for comparing the coordinate of the insured object information with the first data to generate a wind potential assessment report.
2. The typhoon wind hazard assessment system as described in claim 1, wherein the image recognition module further includes an OCR image recognition unit, which is used to receive the typhoon warning notice and extract a plurality of attribute data from the typhoon warning notice.
3. The typhoon wind hazard assessment system as described in claim 2, wherein the image recognition module further includes a first parameter processing unit connected to the OCR image recognition unit, for receiving the attribute data and transferring the attribute data into the first data.
4. The typhoon wind hazard assessment system as described in claim 1, wherein the spatial analysis module further includes a second parameter processing unit connected to the first parameter processing unit, for receiving the first data and generating a plurality of point layer data based on a plurality of typhoon center coordinates at different times.
5. The typhoon wind hazard assessment system as described in claim 4, wherein the spatial analysis module further includes a third parameter processing unit connected to the second parameter processing unit, for receiving the point layer data and connecting the typhoon center coordinates to generate a plurality of line layer data.
6. The typhoon wind hazard assessment system as described in claim 5, wherein the spatial analysis module further includes a fourth parameter processing unit connected to the third parameter processing unit, for receiving the isoline layer data and generating the isosurface layer data according to a storm radius.
7. The typhoon wind hazard assessment system as described in claim 6, wherein the spatial analysis module further includes a level analysis unit connected to the fourth parameter processing unit, for receiving the surface layer data generated by the first data and overlaying the surface layer data to generate the hazard level data.
8. The typhoon wind hazard assessment system as described in claim 1, wherein the hazard classification module is used to receive the coordinates of the insured object information and compare the coordinates of the insured object information with the corresponding coordinates of the hazard classification data to classify the level and generate the hazard classification report.
9. The typhoon wind hazard assessment system as described in claim 8, wherein the image recognition module is used to receive a plurality of typhoon warning notices from a plurality of historical typhoon data to generate a plurality of first data, and the comparison analysis module is used to pre-store a predetermined range, and, with the coordinates of the insured object information as the center, compare the plurality of first data from the plurality of historical typhoon data in the database and the plurality of surface layer data from the plurality of historical typhoon data, and extract the first data within the predetermined range of the coordinates to generate the wind potential assessment report.
10. The typhoon wind hazard assessment system as described in claim 2, wherein such attribute data includes a storm radius, a maximum wind speed near the center, a maximum instantaneous wind speed, typhoon coordinates, and typhoon duration.