Geographical database-based insurance policy risk analysis and calculation system

Abstract

The invention relates to a system that enables accurate and reliable calculation of risk scores for immovable properties (20) subject to insurance policies (10) by using geographical database–based analyses The system operates in an integrated manner with a location determination module (30) for identifying the location of the property, a geographical database (40) and an environmental proximity analysis module (50) for analyzing historical loss and natural disaster risks, a cumul calculation module (60) for evaluating regional risk accumulation, and a user interface (90) for visualizing the analysis results. The user (K) initiates the risk analysis process by entering details such as the activity type, construction type, and floor information of the property. The resulting risk scores calculated by the risk score calculation module (80), together with cumul assessments, enable accurate pricing of insurance policies (10). By improving analytical precision and optimizing operational costs, the system contributes to the financial sustainability of insurance companies. This innovative structure provides a fast and reliable solution for the insurance sector.

Description

[0001] DESCRIPTION

[0002] Geographical Database-Based Insurance Policy Risk Analysis and Calculation System

[0003] Technical Field

[0004] The present invention relates to location-based data analysis, risk assessment, and insurance policy pricing systems used in the insurance sector. More specifically, the invention concerns a system and method developed to determine the precise geographical location of immovable properties subject to insurance policies, to analyze historical loss data and natural disaster risks surrounding these locations, and to accurately calculate a risk score based on such data.

[0005] The invention aims to overcome the shortcomings of existing techniques used during insurance policy preparation by integrating geographical information systems (GIS), address validation and geocoding services, environmental analysis algorithms, and accumulation calculation methods. The system enables the prevention of risk accumulations that may exceed the financial capacity of insurance companies, reduce potential grievances of policyholders, and allow insurance firms to make rapid and accurate decisions in the face of possible natural disasters.

[0006] Within this scope, the invention includes location-determination technologies that ensure immovable properties subject to insurance policies are accurately positioned on a map (e.g., autocomplete services, geocoding services, and national address databases such as LIAVT and MAKS), along with algorithms that perform environmental analyses around these locations. The system also accesses historical loss data such as explosions, floods, landslides, and earthquakes, and combines such data with environmental proximity analyses and neighborhood analyses to calculate the insurance policy risk score and provide real-time information to the user.

[0007] Additionally, the system is capable of performing floor-based, lateral-adjacency, verticaladjacency, and business-type-based risk analyses for complex structures such as organized industrial zones and shopping malls. Thus, the system can analyze not only individual immovables but also larger, multi-unit structures in detail in terms of insurancerisks. The system provides a significant technical solution that enables insurance companies to identify risk accumulations, accurately price policies according to coverage groups, and optimize insurance processes.

[0008] Background of the Invention

[0009] The techniques currently used to calculate the risk scores of insurance policies lack the capability to accurately and comprehensively analyze geographical data. In existing applications, determining the precise geographical location of an immovable property and analyzing historical loss events associated with that location often remain insufficient. For example, it is a common issue that an immovable cannot be accurately located on a map, or even when its location is identified, historical events such as explosions, floods, landslides, storms, or earthquakes occurring in its vicinity cannot be analyzed effectively. This leads to unrealistic risk scores being used in insurance policies, causing insurance companies to assume coverage burdens that may exceed their financial capacity.

[0010] Another major problem encountered in existing techniques is the inability of insurance companies to rapidly and accurately calculate regional risk accumulation in unexpected situations such as natural disasters. Particularly in scenarios where a large number of policies have been issued within the same region or where risk factors have not been sufficiently analyzed, this deficiency results in significant delays and grievances for policyholders. During major natural disasters, failure to promptly compute the total liabilities of insurance firms disrupts their financial balance and reduces their service capacity.

[0011] Current systems typically consider only the risk factors belonging to the immovable itself during policy pricing, while ignoring the risks that may arise from neighboring policies. This deficiency becomes more evident in complex structures such as organized industrial zones and shopping malls. In such environments, analyses related to floor level, lateral adjacency, and vertical adjacency often remain inadequate, leading to an incomplete evaluation of risks associated with the immovable.

[0012] Furthermore, the techniques used to determine the geographical location of properties within urban areas and correlate such locations with historical loss data typically requiremanual intervention and are prone to user errors. This causes delays, increased costs, and loss of accuracy during the insurance policy preparation process.

[0013] Finally, existing techniques lack a mechanism to inform or warn users when the risk accumulation in a certain region exceeds the financial capacity of an insurance company during policy pricing. This poses a significant threat to the financial sustainability of insurance firms and may lead to substantial losses for policyholders.

[0014] Objectives of the Invention

[0015] The primary objective of the invention is to eliminate the technical problems encountered in policy pricing and risk analysis processes in the insurance sector, thereby reducing grievances for both insurance companies and policyholders, while increasing the accuracy of these processes. The invention aims to enable the preparation of more realistic and accurate insurance policies through geographical database-based analyses, environmental risk assessments, and advanced accumulation (cumul) calculation methods.

[0016] The first objective of the invention is to ensure the precise identification of the geographical locations of immovable properties subject to insurance policies within urban areas. For this purpose, autocomplete services, geocoding services, the national address database (LIAVT), and the spatial address database (MAKS) are utilized to perform location determination on a map quickly and accurately. In this way, address verification errors that may arise during policy creation are minimized.

[0017] Another objective is to accurately calculate the risk score of an immovable by analyzing historical loss data and natural disaster risks in its surroundings. These analyses are performed based on data retrieved from databases containing past events such as explosions, floods, landslides, storms, and earthquakes, and are strengthened with environmental proximity analyses. As a result, the accuracy and reliability of risk scores used in insurance policies are increased.

[0018] The invention further aims to allow insurance companies to rapidly and accurately calculate risk accumulation in cases of natural disasters. Particularly during large-scale events, accumulation calculation algorithms used to visualize regional risks anddetermine total liabilities help accelerate the process and improve accuracy. This minimizes disruptions for policyholders and helps insurance companies maintain financial stability.

[0019] Another objective of the invention is to ensure that policy pricing considers not only the risks associated with the insured immovable but also the risks posed by neighboring properties. Within this scope, floor-based, lateral adjacency, vertical adjacency, and business-type analyses can be performed for complex structures such as organized industrial zones (OSB) and shopping malls (AVM). This feature significantly enhances accuracy and efficiency in the insurance processes of large multi-unit structures.

[0020] Additionally, the system informs insurance companies when the policy accumulation in a specific region may exceed their financial capacity and supports users in their decisionmaking processes. These warnings help maintain the financial sustainability of insurance firms while enabling more effective risk management in potential natural disaster scenarios.

[0021] Finally, the invention aims to digitalize insurance processes, reducing the need for manual intervention and minimizing user errors. The system integrates tools for drawing regional boundaries on a map, environmental proximity analyses, and automated calculation algorithms, making insurance processes faster, more accurate, and more efficient.

[0022] Through these features, the invention enhances the competitive strength of insurance companies and enables the provision of more reliable services to policyholders.

[0023] The invention, in order to achieve the objectives described above, is a geographical risk analysis system that performs risk analysis based on the geographical data of immovable properties subject to insurance policies, presents the results obtained from these analyses to the user, and optimizes insurance policy pricing processes, and comprises; a location determination module configured to accurately and precisely determine the address information and geographical location of the immovable property by operating with autocomplete services or geocoding service technologies, mapping such location information through national address or spatial address registry system databases, transferring the location information to other components of the system for analysis,ensuring error-free processing of location data entered by the user, and recording such information into a geographical database, a geographical database structured to store data relating to past natural disaster and loss events associated with the immovable property, to make such data available for use in analysis processes, and to enable correlation with geographical proximity analyses, the database further processing the data provided by the location determination module, an environmental proximity analysis module that receives historical loss events stored in the geographical database and the geographical location information of the immovable property, performs environmental analyses, examines surrounding natural disaster risks, neighborhood relationships, floorbased evaluations, and business-type analyses, and provides fundamental data for calculating the insurance policy risk score, a cumul (accumulation) calculation module configured to analyze the total risk accumulation of active insurance policies located within a defined regional boundary based on the data obtained from the environmental proximity analysis module, to calculate the distribution of these risks on a map, and to enable insurance companies to estimate potential losses in advance, a regional boundary drawing tool that provides digital tools enabling the user to accurately and quickly determine on the map the boundaries of the region to be analyzed, and allows these boundaries to be modeled and transferred to the cumul calculation module, a risk score calculation module that combines the data obtained from the environmental proximity analysis module and the cumul calculation module, calculates the risk score of the immovable property, and uses this risk score as a fundamental parameter for the accurate pricing of the insurance policy and at least one user interface that enables the user to enter information regarding the immovable property, presents the analysis results to the user in a visual format, and manages the risk analysis processes in a user-friendly manner by operating in an integrated way with the other modules of the system.

[0024] In another alternative embodiment of the invention, the system comprises an alert module that identifies risk accumulations of a magnitude capable of exceeding the financial liabilities of insurance companies by evaluating the analysis results received from the cumul calculation module, informs the user through the user interface in accordance with the identified risk accumulations, provides recommendations for the reassessment of insurance policies, and enables the taking of necessary actions.Description of the Figures

[0025] Figure 1 is a schematic block diagram of the geographical database-based risk analysis and insurance policy risk score calculation system of the invention.

[0026] Description of the Part References

[0027] K. User

[0028] 10. Policy

[0029] 20. Immovable Property

[0030] 30. Location Determination Module

[0031] 40. Geographical Database

[0032] 50. Environmental Proximity Analysis Module

[0033] 60. Cumul Calculation Module

[0034] 70. Regional Boundary Drawing Tool

[0035] 80. Risk Score Calculation Module

[0036] 90. User Interface

[0037] 100. Alert Module

[0038] Detailed Description of the Invention

[0039] The invention is a system developed to address the technical challenges encountered in policy pricing and risk analysis processes within the insurance sector. Built upon a geographical database (40) structure, the system enables accurate and reliable calculation of insurance policy (10) risk scores by considering the actual geographical locations of immovable properties (20), environmental risk factors, and historical loss data. The invention comprises an integrated architecture containing multiple modules and algorithms, thereby optimizing the risk-management processes of insurance companies.

[0040] The system begins with the accurate identification of the immovable property (20) subject to the policy (10). This operation is performed by the location determination module (30). The location determination module (30) uses technologies such as autocomplete services and geocoding services to precisely identify the address of the property and performs database mapping through national address and spatial address registrysystems. The module determines the geographical coordinates of the immovable property (20) and transfers this information to other system modules. The methods used during this process minimize potential errors and enhance the accuracy of the system.

[0041] Once the location of the immovable property (20) is determined, the acquired data is recorded into the geographical database (40). The geographical database (40) contains data regarding past loss events such as explosions, floods, landslides, storms, and earthquakes and enables analyses to be performed based on these records. The database (40) includes not only information about the immovable property (20) itself but also data relating to other nearby immovable properties (20). Thus, the overall risk profile of the region in which the immovable property (20) is located can be evaluated comprehensively.

[0042] Information retrieved from the geographical database (40) is processed by the environmental proximity analysis module (50). This module analyzes historical loss data surrounding the immovable property (20) to calculate the risk score. Additionally, the environmental proximity analysis module (50) evaluates lateral, lower, and upper adjacency relationships of the immovable property (20). In particular, for complex structures such as organized industrial zones and shopping malls, detailed analyses are performed based on adjacency and business type. These analyses enable a more comprehensive evaluation of environmental risk factors affecting the property.

[0043] The data obtained from these analyses is used by the cumul calculation module (60) to compute regional risks. The cumul calculation module (60) calculates the total risk accumulation of active policies (10) within the boundaries defined by the regional boundary drawing tool (70). The regional boundary drawing tool (70) allows insurance specialists to digitally define the relevant region on the map. This tool enables rapid visualization and management of regional liabilities, particularly in natural disaster scenarios.

[0044] All analyses and calculations are combined by the risk score calculation module (80) to determine the total risk score of the property. The risk score calculation module (80) generates the risk score, which is a fundamental parameter used in the pricing of the insurance policy (10). During the calculation of the risk score, the characteristics of the immovable property (20), environmental factors, and adjacency relationships are alltaken into consideration. This minimizes potential errors or shortcomings in policy (10) pricing.

[0045] The system further includes an alert module (100). The alert module (100) informs the user (K) when a risk accumulation occurs that may exceed the financial capacity of the insurance company. It provides recommendations for the reassessment or adjustment of policies (10). This mechanism helps preserve the financial sustainability of insurance firms and prevents potential grievances of policyholders.

[0046] All processes in the system are managed through the user interface (90). The user interface (90) visually presents analysis results and warnings to insurance specialists. Users (K) can interact with all modules of the system through the user interface (90) and manage the process. Designed with a simple and intuitive structure, the user interface (90) enables rapid and efficient operation by insurance professionals.

[0047] The operational principle of the invention is based on the processing of data provided by the user (K) through the various modules of the system and the generation of riskanalysis results within an integrated structure.

[0048] The system operates by having the user (K) input specific information through the user interface (90), which is then processed and analyzed by the relevant modules.

[0049] The system begins with an address search initiated by the user (K). Through the address search bar on the user interface (90), the user (K) inputs the address information of the immovable property (20). Alternatively, the user (K) may manually determine the immovable property (20) location by clicking a marker on the map. The location information selected through the marker is processed by the location determination module (30) and stored in the geographical database (40).

[0050] Following the location determination process, the user (K) enters additional information regarding the immovable property (20) through the user interface (90). The information provided includes:• Activity type: The intended use or operational purpose of the immovable property (20) (e.g., commercial, residential, industrial) is recorded in the corresponding form field on the user interface (90).

[0051] • Building floor information: The user (K) selects the floor on which the immovable property (20) is located in order to evaluate adjacency relationships.

[0052] • Construction type: The user selects the construction type — such as reinforced concrete, steel structure, or wood — from the options provided on the user interface (90).

[0053] • Earthquake zone information: The user (K) inputs the earthquake-risk region information associated with the area in which the immovable property (20) is located through the user interface (90).

[0054] • Pallet information: The user (K) provides information on the durability of structural components found within the immovable property (20) (e.g., durable or non-durable) through the user interface (90).

[0055] • Score parameters: The user (K) enters relevant values to determine the risk grades of the immovable property (20).

[0056] This information is transmitted from the user interface (90) to the environmental proximity analysis module (50), where it is processed. The environmental proximity analysis module (50) analyzes historical events such as explosions, floods, landslides, and earthquakes using data retrieved from the geographical database (40). In addition, the module evaluates adjacency relationships, floor-level information, and business-type characteristics of the immovable property (20), thereby performing a comprehensive risk assessment.

[0057] To evaluate regional risks, the user (K) draws the boundaries of the analysis area directly on the map using the regional boundary drawing tool (70) provided through the user interface (90). These boundaries are then processed by the cumul calculation module (60), which calculates the total risk accumulation of active policies (10) within the designated region. The cumul calculation operation enables insurance companies to rapidly assess their regional liabilities and to plan their financial risks in advance.

[0058] All analysis results obtained from the system are combined by the risk score calculation module (80), which computes the total risk score of the immovable property (20). The user (K) can visualize these results and access detailed reports through the userinterface (90). The risk score is calculated by combining the characteristics of the immovable property (20), environmental factors, and adjacency relationships and is used as a fundamental parameter for pricing the insurance policy (10).

[0059] Additionally, when the system identifies risks that may exceed the financial capacity of the insurance company, the alert module (100) is activated and informs the user (K). These warnings provide critical guidance for the reassessment or adjustment of policies (10) or for reevaluating regional risks.

[0060] This structure demonstrates that the user interface (90) functions as the central component of the system, facilitating both data entry and the visualization of analytical results. The user interface (90), integrated with all system modules, maximizes the user (K) experience and enhances the accuracy of insurance processes.

[0061] The innovative structure of the invention significantly resolves the technical challenges encountered in existing systems. The effective use of geographical data, the detailed analysis of historical loss events, and the accurate evaluation of environmental risks constitute the core advantages of the invention. The system offers the insurance sector a more reliable, fast, and accurate solution for risk analysis and policy (10) pricing.

Claims

CLAIMS1. The invention is a geographical risk analysis system that performs risk analysis based on the geographical data of immovable properties (20) subject to insurance policies (10), presents the results obtained from these analyses to the user (K), and optimizes insurance policy (10) pricing processes, characterized in that it comprises:• a location determination module (30) configured to accurately and precisely determine the address information and geographical location of the immovable property (20) by operating with autocomplete services or geocoding service technologies, mapping such location information through national address or spatial address registry system databases, transferring the location information to other system components for analysis, ensuring error-free processing of location data entered by the user (K), and recording such information into the geographical database (40),• a geographical database (40) structured to store data relating to past natural disasters and loss events associated with the immovable property (20), to make such data available for use in analysis processes, and to enable correlation with geographical proximity analyses, the database further processing the data provided by the location determination module (30),• an environmental proximity analysis module (50) that receives historical loss events stored in the geographical database (40) and the geographical location information of the immovable property (20), performs environmental analyses, examines surrounding natural disaster risks, adjacency relationships, floor-based evaluations, and business-type analyses, and provides fundamental data for calculating the insurance policy (10) risk score,• a cumul calculation module (60) configured to analyze, using the data obtained from the environmental proximity analysis module (50), the total risk accumulation of active insurance policies (10) located within defined regional boundaries, to calculate the distribution of these risks on a map, and to enable insurance companies to estimate potential losses in advance,• a regional boundary drawing tool (70) that provides digital tools enabling the user (K) to accurately and rapidly determine on a map the boundaries of the region to be analyzed, and allows these boundaries to be modeled and transferred to the cumul calculation module (60),• a risk score calculation module (80) that combines the data obtained from the environmental proximity analysis module (50) and the cumul calculation module (60), calculates the risk score of the immovable property (20), and uses this risk score as a fundamental parameter for accurate pricing of the insurance policy (10),• At least one user interface (90) enables the user (K) to enter information relating to the immovable property (20), presents analysis results to the user in a visual format, and manages risk analysis processes in a user-friendly manner by operating in an integrated way with the other modules of the system.

2. A geographical risk analysis system according to claim 1, characterized in that it comprises an alert module (100) that identifies risk accumulations of a magnitude capable of exceeding the financial liabilities of insurance companies by evaluating the analysis results received from the cumul calculation module (60), informs the user (K) through the user interface (90) in accordance with the identified risk accumulations, provides recommendations for the reassessment of insurance policies (10), and enables the taking of necessary actions.

3. The invention is a geographical risk analysis method that performs risk analysis based on the geographical data of immovable properties (20) subject to insurance policies (10), presents the results obtained from these analyses to the user (K), and optimizes insurance policy (10) pricing processes, characterized by the steps of:• verifying, through the location determination module (30), the address information and geographical location of the immovable property (20) entered by the user (K) into the user interface (90), and recording such information into the geographical database (40),• transferring data relating to past natural disasters and loss events recorded in the geographical database (40) to the environmental proximity analysis module (50), and performing environmental risk analyses by combining such data with adjacency relationships, floor-level information, and business-type characteristics of the immovable property (20),• transferring the data obtained by the environmental proximity analysis module (50) to the cumul calculation module (60) and calculating the total riskaccumulation of the active policies (10) within the defined regional boundaries,• determining, by the user (K) using the regional boundary drawing tool (70), the boundaries of the region to be analyzed and transferring these boundaries to the cumul calculation module (60),• combining the data received from the environmental proximity analysis module (50) and the cumul calculation module (60) by the risk score calculation module (80) and calculating the total risk score of the immovable property (20),• presenting the calculated risk score to the user (K) in a visual format through the user interface (90).

4. The geographical risk analysis method according to Claim 3, characterized by the steps of, in cases where the identified risks exceed the financial capacity of the insurance company, through the alert module (100):• receiving the total risk accumulation value obtained from the cumul calculation module (60) and comparing this value with the maximum financial liability limits defined by the insurance company,• if the total risk accumulation value exceeds the financial liability limits, generating a warning message describing the magnitude and impact of the risk,• transmitting details regarding the risk accumulation to the user interface (90) for presentation to the user (K),• presenting a warning to the user (K) in visual or textual format and providing action recommendations regarding the reassessment of insurance policies (10) or the implementation of additional preventive measures.

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