Methods, devices, equipment, and storage media for configuring insurance product underwriting data

Abstract

This application relates to the field of data processing and discloses a method, apparatus, computer equipment, and storage medium for configuring insurance product application data. The method includes: acquiring product information and an application proposal template for the insurance product; extracting candidate table items from the application proposal template, wherein each candidate table item is configured with display conditions; selecting a target table item from the candidate table items according to the display conditions; acquiring a related relational database based on the product information of the insurance product, and extracting the insurance product data corresponding to the target table item from the relational database; acquiring the calculation rules for the target table item, and determining the target data for the target table item based on the insurance product data and the calculation rules; and generating the insurance product application form data based on the target table item and the target data corresponding to the target table item. This application can improve the configuration and display efficiency of application data.

Description

Technical Field

[0001] This application relates to the field of data processing, and in particular to a method, apparatus, computer equipment, and storage medium for configuring insurance product underwriting data. Background Technology

[0002] Insurance benefit data is presented by insurance companies in tabular form to customers, detailing the specific amount of each benefit item for each policy year. It is a crucial component, especially in the individual life insurance policy proposal section. Currently, the rules for displaying insurance benefit data are extremely complex and cumbersome, filled with personalized content. Most solutions currently use XML and JSON files to configure table headers, pre-calculating the number of insurance combinations for each product and tagging each combination to generate configuration data items for the insurance benefit data. However, as business grows and insurance products become increasingly complex, the combinations of data items required for configuring insurance benefit data become more intricate. The above methods cannot meet the need for rapid configuration of insurance benefit data under various combinations, resulting in low efficiency in displaying insurance product insurance benefit data. Summary of the Invention

[0003] The main purpose of this application is to provide a method, device, computer equipment, and storage medium for configuring insurance product underwriting data, aiming to solve the problem of low efficiency in displaying insurance product underwriting benefit data.

[0004] To achieve the aforementioned objectives, this application proposes a method for configuring insurance product underwriting data, comprising:

[0005] Obtain product information and application proposal templates for insurance products;

[0006] Extract the candidate table items associated with the insurance product from the insurance application template. The candidate table items are configured with display conditions.

[0007] Select the target table item from the candidate table items according to the display conditions;

[0008] Based on the product information of the insurance product, obtain the associated relational database, and extract the insurance product data corresponding to the target table item from the structured data of the relational database;

[0009] The calculation rules for the target table item are obtained from the pre-configured rule file, and the target data for the target table item is determined based on the insurance product data and the calculation rules.

[0010] The insurance product application form data is generated based on the target table items and the target data corresponding to the target table items.

[0011] Further, determining the target data for the target table item based on the insurance product data and the calculation rules includes:

[0012] Obtain the calculation parameters of the calculation rule;

[0013] Obtain parameter information from the insurance product data that has the same semantics as the calculation parameter, and obtain the data value corresponding to the parameter information;

[0014] Configure the data value as the parameter value of the calculation parameter;

[0015] The target data for the target table item is obtained by performing data calculations based on the parameter values ​​and the calculation rules.

[0016] Further, the step of extracting the insurance product data corresponding to the target table item from the structured data of the relational database includes:

[0017] Obtain the structured data from the relational database, and extract the entity information corresponding to the target table item from the structured data;

[0018] The data range for obtaining the entity information;

[0019] Based on a preset algorithm, data within the data range is identified to obtain insurance product data corresponding to the entity information.

[0020] Furthermore, the step of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information includes:

[0021] Obtain the prior format data contained in the entity information;

[0022] Configure the preset algorithm with the prior format data to obtain a preset algorithm with prior format data;

[0023] Based on the preset algorithm for the data with prior format, the preset format data within the data range is identified to obtain the insurance product data corresponding to the entity information.

[0024] Further, obtaining the calculation rules for the target table item from the pre-configured rule file includes:

[0025] Identify the first version number of the insurance application template;

[0026] The second version number of the rule file is determined based on the first version number;

[0027] Obtain the calculation rules for the target table item from the rule file of the second version number.

[0028] Further, the step of generating the insurance product application form data based on the target table item and the target data corresponding to the target table item includes:

[0029] Associate the target data with the target table item;

[0030] Determine the positional relationship of each of the target table items based on the aforementioned insurance proposal template;

[0031] An insurance application form is generated based on the target table items and their positional relationships.

[0032] The target data is written into the corresponding associated insurance application form to generate the insurance application form data for the insurance product.

[0033] Furthermore, after selecting the target table item from the candidate table items according to the display conditions, the process further includes:

[0034] Receive instructions to modify the display conditions of the selected table items;

[0035] The display conditions of the candidate table items are modified according to the modification instructions to obtain the modified display conditions;

[0036] Update the target table items according to the modified display conditions.

[0037] This application also provides a device for configuring insurance product underwriting data, including:

[0038] The information acquisition module is used to acquire product information and application proposal templates for insurance products.

[0039] The table extraction module is used to extract candidate table items associated with the insurance product from the insurance application proposal template. The candidate table items are configured with display conditions.

[0040] The table filtering module is used to select target table items from the candidate table items according to the display conditions;

[0041] The data extraction module is used to obtain the associated relational database based on the product information of the insurance product, and extract the insurance product data corresponding to the target table item from the structured data of the relational database;

[0042] The data calculation module is used to obtain the calculation rules of the target table item from the pre-configured rule file, and determine the target data of the target table item according to the insurance product data and the calculation rules;

[0043] The data generation module is used to generate the insurance application form data of the insurance product based on the target table item and the target data corresponding to the target table item.

[0044] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method for configuring insurance product underwriting data described above.

[0045] This application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for configuring insurance product underwriting data described in any of the above claims.

[0046] This application provides a method for quickly and flexibly configuring insurance product application data. First, it obtains the product information and application proposal template of the insurance product. Then, it extracts candidate table items associated with the insurance product from the application proposal template. Each table item is configured with display conditions, i.e., conditions for selecting whether to display each table item. Next, it selects a target table item from the candidate table items based on the display conditions. It then obtains the associated relational database based on the product information of the insurance product and extracts the insurance product data corresponding to the target table item from the structured data of the relational database. Finally, it obtains the calculation rules for the target table item from a pre-configured rule file and determines the target data for the target table item based on the insurance product data and the calculation rules. This allows for the rapid and accurate calculation of the target table item data under different insurance product combinations. Finally, it generates the insurance product application form data based on the target table item and its corresponding target data. This method independently configures the application form, application form data, data calculation rules, and insurance product application information, improving the configuration efficiency of application data for different insurance products and combinations, as well as the display efficiency of the application data. Attached Figure Description

[0047] Figure 1 A schematic flowchart illustrating an embodiment of the method for configuring insurance product underwriting data in this application;

[0048] Figure 2 A schematic diagram of an embodiment of the device for configuring insurance product application data in this application;

[0049] Figure 3 This is a schematic block diagram of an embodiment of the computer device of this application.

[0050] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0052] Reference Figure 1 This application provides a method for configuring insurance product application data, including steps S10-S60. The detailed description of each step of the method for configuring insurance product application data is as follows. The method for configuring insurance product application data can be completed by an application service with built-in corresponding functions. The application service can run on a terminal device or a cloud server. Therefore, the method for configuring insurance product application data can also be understood as being completed by a terminal device or a cloud server running the application service.

[0053] S10. Obtain product information and application form templates for insurance products.

[0054] This embodiment is applied to the combination and display of insurance product underwriting data, especially the display of insurance product benefits. With the continuous development of digitalization, insurance companies record and demonstrate various data of insurance products in digital form, including digital data such as the benefits of insurance products under different users and different underwriting combinations, as well as the specific benefit amount of each benefit item in each policy year. Different insurance product combinations can yield different benefits. In order to display the insurance product underwriting data more directly and clearly, the insurance product underwriting data is integrated to obtain the insurance product underwriting proposal. The main framework of the entire underwriting proposal is extracted and configured as a corresponding underwriting proposal template for use in different insurance product combinations. In order to configure the insurance product underwriting data, the underwriting data is preferably underwriting benefit data. This embodiment first obtains the product information and underwriting proposal template of the insurance product. The product information includes customer information, insurance type information, and underwriting benefit information.

[0055] S20. Extract the candidate table items associated with the insurance product from the insurance application proposal template. The candidate table items are configured with display conditions.

[0056] In this embodiment, after obtaining the product information and the application proposal template of the insurance product, in order to accurately configure the insurance product's application data, especially the insurance product's application benefit data, table items associated with the insurance product are extracted from the application proposal template and defined as candidate table items. Specifically, the application proposal template is configured with table items required for displaying application data, and different insurance products display application data through different table items. The table items are configured with display conditions, that is, each table item is configured with conditions for selecting whether to display it. Thus, candidate table items associated with the insurance product are extracted from the application proposal template, and the candidate table items are configured with display conditions.

[0057] S30. Select the target table item from the candidate table items according to the display conditions.

[0058] In this embodiment, after extracting the candidate table items associated with the insurance product from the insurance proposal template, the target table item is selected from the candidate table items according to the display conditions. Specifically, the display conditions of the candidate table items include 0 and 1. When the display condition is 0, it means that the data of the table item is not displayed. When the display condition is 1, it means that the data of the table item is displayed. In this embodiment, the candidate table item with the display condition of 1 is selected as the target table item. By freely configuring the display conditions of the candidate table items, the target table item can be flexibly configured.

[0059] S40. Obtain the associated relational database based on the product information of the insurance product, and extract the insurance product data corresponding to the target table item from the structured data of the relational database.

[0060] In this embodiment, after determining the target table item, i.e., the table item included in the insurance data display, the associated relational database is obtained based on the product information of the insurance product. Then, the insurance product data corresponding to the target table item is extracted from the structured data of the relational database. Each piece of insurance product data is stored in the relational database associated with the product information in a preset format, which is a structured data format. By configuring the structured data extraction algorithm, the algorithm is equipped with the ability to extract insurance product data from the entire relational database of product information. It can identify the insurance product data corresponding to different table items in the product information, thereby obtaining the insurance product data corresponding to each table item.

[0061] S50. Obtain the calculation rules for the target table item from the pre-configured rule file, and determine the target data for the target table item based on the insurance product data and the calculation rules.

[0062] In this embodiment, after obtaining the associated relational database based on the product information of the insurance product, and extracting the insurance product data corresponding to the target table item from the structured data of the relational database, the calculation rules for the target table item are obtained from a pre-configured rule file. The insurance product data of different table items have different calculation rules, and the calculation rules for a table item are also different in different scenarios. For example, for table item A, if it corresponds to one type of insurance, the calculation rule is configured as A1; if it corresponds to at least two types of insurance, the calculation rule is configured as A2. By obtaining the calculation rules for the target table item, and determining the target data of the target table item based on the insurance product data and the calculation rules, the data of the target table item under different combinations of insurance types can be calculated quickly and accurately.

[0063] S60. Generate the insurance application form data of the insurance product based on the target table item and the target data corresponding to the target table item.

[0064] In this embodiment, after obtaining the calculation rules for the target table items from a pre-configured rule file and determining the target data for the target table items based on the insurance product data and the calculation rules, the insurance product's application form data is generated based on the target table items and their corresponding target data. In one implementation, the calculated target data is associated with the target table items. Then, the positional relationship of each target table item is determined according to a preset application proposal template. An application form is then generated based on the target table items and their positional relationships. The associated target data is then written into the application form to generate the insurance product's application form data. By configuring the application form, application form data, data calculation rules, and insurance product application information independently, the configuration efficiency of application data for different insurance products and combinations of insurance products, as well as the display efficiency of the application data, are improved.

[0065] This embodiment provides a method for quickly and flexibly configuring insurance product underwriting data. First, it obtains the insurance product information and an underwriting proposal template. The product information includes customer information, insurance type information, and underwriting benefit information. The underwriting proposal is obtained by integrating the insurance product information. To accurately configure the insurance product underwriting data, especially the underwriting benefit data, candidate table items associated with the insurance product are extracted from the underwriting proposal template. The underwriting proposal template contains table items required for displaying the underwriting data, and each table item is configured with display conditions, i.e., conditions for selecting whether to display each table item. Then, target table items are selected from the candidate table items according to the display conditions. After determining the table items included in the underwriting data display, the associated relational database is obtained based on the insurance product information. The structured data from the relational database is then processed... The system extracts the insurance product data corresponding to the target table item, and then obtains the calculation rules for the target table item from the pre-configured rule file. Different table items have different calculation rules for insurance product data. By obtaining the calculation rules for the target table item and determining the target data for the target table item based on the insurance product data and the calculation rules, the system can quickly and accurately calculate the data for the target table item under different insurance combinations. Based on the target table item and the target data corresponding to the target table item, the system generates the insurance product application form data. The system establishes an association between the calculated target data and the target table item, and then writes the associated target data into the application form to generate the insurance product application form data. The system independently configures the application form, application form data, data calculation rules, and insurance product application information, improving the configuration efficiency of application data for different insurance products and different combinations of insurance products, as well as the display efficiency of application data.

[0066] In one embodiment, determining the target data for the target table item based on the insurance product data and the calculation rules includes:

[0067] Obtain the calculation parameters of the calculation rule;

[0068] Obtain parameter information from the insurance product data that has the same semantics as the calculation parameter, and obtain the data value corresponding to the parameter information;

[0069] Configure the data value as the parameter value of the calculation parameter;

[0070] The target data for the target table item is obtained by performing data calculations based on the parameter values ​​and the calculation rules.

[0071] In this embodiment, during the process of determining the target data of the target table item based on the insurance product data and the calculation rule, the calculation parameters of the calculation rule are obtained, that is, the calculation parameters contained in the calculation rule are identified. Then, parameter information with the same semantics as the calculation parameters in the insurance product data is obtained, and the data value corresponding to the parameter information is obtained. Specifically, information with the same semantics as the calculation parameters in the insurance product data is filtered out through semantic recognition and used as parameter information. Then, the data value contained in the parameter information is obtained as the data value corresponding to the calculation parameter. Then, the parameter value is used as the input of the calculation rule and the calculation rule is executed to obtain the target data of the target table item. The insurance product data is automatically matched into the calculation rule, thereby improving the automated calculation efficiency of the target data of the target table item.

[0072] In one embodiment, extracting the insurance product data corresponding to the target table item from the structured data of the relational database includes:

[0073] Obtain the structured data from the relational database, and extract the entity information corresponding to the target table item from the structured data;

[0074] The data range for obtaining the entity information;

[0075] Based on a preset algorithm, data within the data range is identified to obtain insurance product data corresponding to the entity information.

[0076] In this embodiment, during the process of extracting insurance product data corresponding to the target table item from the structured data of the relational database, the structured data is first obtained from the relational database, then the structured data is identified, and entity information corresponding to the target table item is extracted from the structured data. Specifically, the target table item is configured as a keyword through keyword matching, and then words matching the keywords in the structured data are identified. The matched words are determined as the corresponding entity information, and then the data range of the entity information is identified. Generally, the content of each entity information is within the same content range. By identifying two entity information items, the data range of the previous entity information can be determined. Based on this method, the content range of each entity information item is determined, and then data in a preset format within the data range is identified to obtain the insurance product data corresponding to the entity information. This accurately identifies the insurance product data corresponding to each target table item, so as to accurately calculate the target table item, accurately determine the insurance product's insurance data, and improve the accuracy of the insurance data.

[0077] In one embodiment, the step of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information includes:

[0078] Obtain the prior format data contained in the entity information;

[0079] Configure the preset algorithm with the prior format data to obtain a preset algorithm with prior format data;

[0080] Based on the preset algorithm for the data with prior format, the preset format data within the data range is identified to obtain the insurance product data corresponding to the entity information.

[0081] In this embodiment, during the process of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information, different parts of the entity information contain data with different data formats. In order to accurately identify the data in different parts of the entity information, the prior format data contained in the entity information is first obtained. The prior format data is obtained by collecting and statistically analyzing the data format set under the corresponding type of the entity information. Then, the preset algorithm is configured with the prior format data to obtain a preset algorithm with prior format data. Then, the preset algorithm with prior format data is used to identify the data with the preset format within the data range to obtain the insurance product data corresponding to the entity information. By configuring an algorithm with prior knowledge of the corresponding exclusive data format, the preset format data within the data range can be identified quickly and accurately, and the required target data within the data range can be extracted as insurance product data, thereby improving the identification efficiency of insurance product data corresponding to entity information. For example, for entity information A, only insurance product data in formats A1 and A2 need to be obtained; for entity information B, only insurance product data in format B1 needs to be obtained. By quickly locating the corresponding insurance product data through prior format data, and then extracting the corresponding insurance product data, the insurance product data corresponding to different entity information can be accurately identified, so as to accurately calculate the target table item, accurately determine the insurance product underwriting data, and improve the accuracy of underwriting data.

[0082] In one embodiment, obtaining the calculation rules for the target table item from a pre-configured rule file includes:

[0083] Identify the first version number of the insurance application template;

[0084] The second version number of the rule file is determined based on the first version number;

[0085] Obtain the calculation rules for the target table item from the rule file of the second version number.

[0086] In this embodiment, the calculation rules for the target data of the target table item differ in different insurance application proposal templates. To accurately calculate the target data of the target table item, it is necessary to ensure that the calculation rules of the target table item are consistent with the insurance application proposal template. Specifically, before obtaining the calculation rules of the target table item from the pre-configured rule file, the first version number of the insurance application proposal template is identified. The insurance application proposal template contains a version number marker. By identifying the marker, the version number of the insurance application proposal template is determined and defined as the first version number. The version number of the insurance application proposal template represents the insurance application proposal template under different scenarios. At the same time, the second version number of the rule file is determined based on the first version number. Then, the calculation rules of the target table item are obtained from the rule file with the second version number. The insurance application proposal template and the rule file are developed independently but are interconnected, ensuring that the version numbers of the insurance application proposal template and the rule file are consistent, thus ensuring the accuracy of the target table data calculation.

[0087] In one embodiment, generating the insurance product application form data based on the target table item and the target data corresponding to the target table item includes:

[0088] Associate the target data with the target table item;

[0089] Determine the positional relationship of each of the target table items based on the aforementioned insurance proposal template;

[0090] An insurance application form is generated based on the target table items and their positional relationships.

[0091] The target data is written into the corresponding associated insurance application form to generate the insurance application form data for the insurance product.

[0092] In this embodiment, during the process of generating the insurance product application form data based on the target table items and the target data corresponding to the target table items, the target data and the target table items are first associated. In one implementation, the target table and the corresponding target data are configured with the same primary key to establish the association between the target data and the target table items. Then, the positional relationship of the target table items is obtained from the insurance proposal template, that is, the position of each target table item in the insurance proposal is obtained. An application form is generated based on the target table items and the positional relationship of each target table item. The target data is written into the corresponding associated application form to generate the insurance product application form data, thereby improving the display efficiency of the insurance product application data.

[0093] In one embodiment, after selecting the target table item from the candidate table items according to the display conditions, the method further includes:

[0094] Receive instructions to modify the display conditions of the selected table items;

[0095] The display conditions of the candidate table items are modified according to the modification instructions to obtain the modified display conditions;

[0096] Update the target table items according to the modified display conditions.

[0097] In this embodiment, after selecting a target table item from the candidate table items according to the display conditions, that is, after filtering the target table item based on the pre-configured display conditions of the candidate table items, the target table item can be further filtered. Specifically, a modification instruction for the display conditions of the candidate table items is received, that is, the user can modify the display conditions of the candidate table items himself, and then modify the display conditions of the candidate table items according to the modification instruction to obtain the modified display conditions. The target table item is updated according to the modified display conditions, thereby dynamically updating the target table item and displaying the insurance product's insurance data with different target table items, improving the efficiency of displaying different insurance data.

[0098] Reference Figure 2 This application also provides a device for configuring insurance product underwriting data, including:

[0099] Information acquisition module 10 is used to acquire product information of insurance products and insurance application proposal templates;

[0100] The table extraction module 20 is used to extract candidate table items associated with the insurance product from the insurance application proposal template. The candidate table items are configured with display conditions.

[0101] The table filtering module 30 is used to select a target table item from the candidate table items according to the display conditions;

[0102] The data extraction module 40 is used to obtain the associated relational database based on the product information of the insurance product, and extract the insurance product data corresponding to the target table item from the structured data of the relational database;

[0103] The data calculation module 50 is used to obtain the calculation rules of the target table item from the pre-configured rule file, and determine the target data of the target table item according to the insurance product data and the calculation rules;

[0104] The data generation module 60 is used to generate the insurance application form data of the insurance product based on the target table item and the target data corresponding to the target table item.

[0105] As described above, it can be understood that each component of the insurance product underwriting data configuration device proposed in this application can realize the function of any of the insurance product underwriting data configuration methods described above.

[0106] In one embodiment, determining the target data for the target table item based on the insurance product data and the calculation rules includes:

[0107] Obtain the calculation parameters of the calculation rule;

[0108] Obtain parameter information from the insurance product data that has the same semantics as the calculation parameter, and obtain the data value corresponding to the parameter information;

[0109] Configure the data value as the parameter value of the calculation parameter;

[0110] The target data for the target table item is obtained by performing data calculations based on the parameter values ​​and the calculation rules.

[0111] In one embodiment, extracting the insurance product data corresponding to the target table item from the structured data of the relational database includes:

[0112] Obtain the structured data from the relational database, and extract the entity information corresponding to the target table item from the structured data;

[0113] The data range for obtaining the entity information;

[0114] Based on a preset algorithm, data within the data range is identified to obtain insurance product data corresponding to the entity information.

[0115] In one embodiment, the step of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information includes:

[0116] Obtain the prior format data contained in the entity information;

[0117] Configure the preset algorithm with the prior format data to obtain a preset algorithm with prior format data;

[0118] Based on the preset algorithm for the data with prior format, the preset format data within the data range is identified to obtain the insurance product data corresponding to the entity information.

[0119] In one embodiment, obtaining the calculation rules for the target table item from a pre-configured rule file includes:

[0120] Identify the first version number of the insurance application template;

[0121] The second version number of the rule file is determined based on the first version number;

[0122] Obtain the calculation rules for the target table item from the rule file of the second version number.

[0123] In one embodiment, generating the insurance product application form data based on the target table item and the target data corresponding to the target table item includes:

[0124] Associate the target data with the target table item;

[0125] Determine the positional relationship of each of the target table items based on the aforementioned insurance proposal template;

[0126] An insurance application form is generated based on the target table items and their positional relationships.

[0127] The target data is written into the corresponding associated insurance application form to generate the insurance application form data for the insurance product.

[0128] In one embodiment, after selecting the target table item from the candidate table items according to the display conditions, the method further includes:

[0129] Receive instructions to modify the display conditions of the selected table items;

[0130] The display conditions of the candidate table items are modified according to the modification instructions to obtain the modified display conditions;

[0131] Update the target table items according to the modified display conditions.

[0132] Reference Figure 3 This application also provides a computer device, which can be a mobile terminal, and its internal structure can be as follows: Figure 3 As shown, the computer device includes a processor, memory, network interface, display device, and input device connected via a system bus. The network interface is used for communication with external terminals via a network connection. The input device is used to receive user input. The processor provides computing and control capabilities. The memory includes a storage medium that stores the operating system, computer programs, and a database. The database stores data. When executed by the processor, the computer program implements a method for configuring insurance product application data.

[0133] The processor described above executes the above-described method for configuring insurance product application data, including: obtaining product information and an application proposal template for the insurance product; extracting candidate table items associated with the insurance product from the application proposal template, wherein the candidate table items are configured with display conditions; selecting a target table item from the candidate table items according to the display conditions; obtaining an associated relational database based on the product information of the insurance product, and extracting the insurance product data corresponding to the target table item from the structured data of the relational database; obtaining the calculation rules for the target table item from a pre-configured rule file, and determining the target data of the target table item based on the insurance product data and the calculation rules; and generating the insurance product application form data based on the target table item and the target data corresponding to the target table item.

[0134] The computer device provides a method for quickly and flexibly configuring insurance product underwriting data. First, it obtains the insurance product information and an underwriting proposal template. The product information includes customer information, insurance type information, and underwriting benefit information. The underwriting proposal is obtained by integrating the insurance product information. To accurately configure the insurance product underwriting data, especially the underwriting benefit data, candidate table items associated with the insurance product are extracted from the underwriting proposal template. The underwriting proposal template contains table items required for displaying the underwriting data, and each table item is configured with display conditions, i.e., conditions for selecting whether to display each table item. Then, target table items are selected from the candidate table items according to the display conditions. After determining the table items included in the underwriting data display, the associated relational database is obtained based on the insurance product information. The structured data from the relational database is then processed... The system extracts the insurance product data corresponding to the target table item, and then obtains the calculation rules for the target table item from the pre-configured rule file. Different table items have different calculation rules for insurance product data. By obtaining the calculation rules for the target table item and determining the target data for the target table item based on the insurance product data and the calculation rules, the system can quickly and accurately calculate the data for the target table item under different insurance combinations. Based on the target table item and the target data corresponding to the target table item, the system generates the insurance product application form data. The system establishes a correlation between the calculated target data and the target table item, and then writes the correlated target data into the application form to generate the insurance product application form data. The system independently configures the application form, application form data, data calculation rules, and insurance product application information, improving the configuration efficiency of application data for different insurance products and different combinations of insurance products, as well as the display efficiency of application data.

[0135] One embodiment of this application also provides a computer-readable storage medium storing a computer program thereon. When executed by the processor, the computer program implements a method for configuring insurance product application data, including the steps of: obtaining product information and an application proposal template for the insurance product; extracting candidate table items associated with the insurance product from the application proposal template, wherein the candidate table items are configured with display conditions; selecting a target table item from the candidate table items according to the display conditions; obtaining an associated relational database based on the product information of the insurance product, and extracting insurance product data corresponding to the target table item from the structured data of the relational database; obtaining calculation rules for the target table item from a pre-configured rule file, and determining target data for the target table item based on the insurance product data and the calculation rules; and generating application form data for the insurance product based on the target table item and the target data corresponding to the target table item.

[0136] The computer-readable storage medium provides a method for quickly and flexibly configuring insurance product underwriting data. First, it obtains the insurance product information and an underwriting proposal template. The product information includes customer information, insurance type information, and underwriting benefit information. The underwriting proposal is obtained by integrating the insurance product information. To accurately configure the insurance product underwriting data, especially the underwriting benefit data, candidate table items associated with the insurance product are extracted from the underwriting proposal template. The underwriting proposal template contains table items required for displaying the underwriting data, and each table item is configured with display conditions, i.e., conditions for selecting whether to display each table item. Then, target table items are selected from the candidate table items according to the display conditions. After determining the table items included in the underwriting data display, the associated relational database is obtained based on the insurance product information. The structure of the relational database is then analyzed. The system extracts insurance product data corresponding to the target table item from the data, and then obtains the calculation rules for the target table item from a pre-configured rule file. Different table items have different calculation rules for insurance product data. By obtaining the calculation rules for the target table item and determining the target data for the target table item based on the insurance product data and the calculation rules, the system can quickly and accurately calculate the data for the target table item under different insurance combinations. Based on the target table item and the target data corresponding to the target table item, the system generates the insurance product application form data. The calculated target data is then associated with the target table item, and the associated target data is written into the application form to generate the insurance product application form data. The system independently configures the application form, application form data, data calculation rules, and insurance product application information, improving the configuration efficiency of application data for different insurance products and combinations, as well as the display efficiency of application data.

[0137] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods.

[0138] Any references to memory, storage, database or other media used in this application and in the embodiments may include non-volatile and / or volatile memory.

[0139] Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0140] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0141] The above description is only a preferred embodiment of this application and does not limit the patent scope of this application.

[0142] Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. A method for configuring insurance product underwriting data, characterized in that, include: Obtain product information and application proposal templates for insurance products; Extract the candidate table items associated with the insurance product from the insurance application template. The candidate table items are configured with display conditions. Select the target table item from the candidate table items according to the display conditions; Based on the product information of the insurance product, obtain the associated relational database, and extract the insurance product data corresponding to the target table item from the structured data of the relational database; The calculation rules for the target table item are obtained from the pre-configured rule file, and the target data for the target table item is determined based on the insurance product data and the calculation rules. Generate the insurance product's application form data based on the target table items and the target data corresponding to the target table items; The step of extracting the insurance product data corresponding to the target table item from the structured data of the relational database includes: Obtain the structured data from the relational database, and extract the entity information corresponding to the target table item from the structured data; The data range for obtaining the entity information; Based on a preset algorithm, data within the data range is identified to obtain insurance product data corresponding to the entity information; Specifically, by using keyword matching, target table items are configured as keywords, and then words matching the keywords in the structured data are identified. The matched words are determined as corresponding entity information, and the data range of the entity information is identified. The content of each entity information item is within the same content range. By identifying two entity information items, the data range of the previous entity information can be determined. Based on this method, the content range of each entity information item is determined, and then the data in the preset format within the data range is identified to obtain the insurance product data corresponding to the entity information, thereby accurately identifying the insurance product data corresponding to each target table item. The step of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information includes: Obtain the prior format data contained in the entity information; Configure the preset algorithm with the prior format data to obtain a preset algorithm with prior format data; Based on the preset algorithm for the data with prior format, the preset format data within the data range is identified to obtain the insurance product data corresponding to the entity information.

2. The method for configuring insurance product underwriting data according to claim 1, characterized in that, The step of determining the target data for the target table item based on the insurance product data and the calculation rules includes: Obtain the calculation parameters of the calculation rule; Obtain parameter information from the insurance product data that has the same semantics as the calculation parameter, and obtain the data value corresponding to the parameter information; Configure the data value as the parameter value of the calculation parameter; The target data for the target table item is obtained by performing data calculations based on the parameter values ​​and the calculation rules.

3. The method for configuring insurance product underwriting data according to claim 1, characterized in that, The step of obtaining the calculation rules for the target table item from the pre-configured rule file includes: Identify the first version number of the insurance application template; The second version number of the rule file is determined based on the first version number; Obtain the calculation rules for the target table item from the rule file of the second version number.

4. The method for configuring insurance product underwriting data according to claim 1, characterized in that, The step of generating the insurance product application form data based on the target table item and the target data corresponding to the target table item includes: Associate the target data with the target table item; Determine the positional relationship of each of the target table items based on the aforementioned insurance proposal template; An insurance application form is generated based on the target table items and their positional relationships. The target data is written into the corresponding associated insurance application form to generate the insurance application form data for the insurance product.

5. The method for configuring insurance product underwriting data according to claim 1, characterized in that, After selecting the target table item from the candidate table items according to the display conditions, the process further includes: Receive instructions to modify the display conditions of the selected table items; The display conditions of the candidate table items are modified according to the modification instructions to obtain the modified display conditions; Update the target table items according to the modified display conditions.

6. A device for configuring insurance product underwriting data, characterized in that, include: The information acquisition module is used to acquire product information and application proposal templates for insurance products. The table extraction module is used to extract candidate table items associated with the insurance product from the insurance application proposal template. The candidate table items are configured with display conditions. The table filtering module is used to select target table items from the candidate table items according to the display conditions; The data extraction module is used to obtain the associated relational database based on the product information of the insurance product, and extract the insurance product data corresponding to the target table item from the structured data of the relational database; The data calculation module is used to obtain the calculation rules of the target table item from the pre-configured rule file, and determine the target data of the target table item according to the insurance product data and the calculation rules; The data generation module is used to generate the insurance product application form data based on the target table item and the target data corresponding to the target table item; The step of extracting the insurance product data corresponding to the target table item from the structured data of the relational database includes: Obtain the structured data from the relational database, and extract the entity information corresponding to the target table item from the structured data; The data range for obtaining the entity information; Based on a preset algorithm, data within the data range is identified to obtain insurance product data corresponding to the entity information; Specifically, by using keyword matching, target table items are configured as keywords, and then words matching the keywords in the structured data are identified. The matched words are determined as corresponding entity information, and the data range of the entity information is identified. The content of each entity information item is within the same content range. By identifying two entity information items, the data range of the previous entity information can be determined. Based on this method, the content range of each entity information item is determined, and then the data in the preset format within the data range is identified to obtain the insurance product data corresponding to the entity information, thereby accurately identifying the insurance product data corresponding to each target table item. The step of identifying data within the data range based on a preset algorithm to obtain insurance product data corresponding to the entity information includes: Obtain the prior format data contained in the entity information; Configure the preset algorithm with the prior format data to obtain a preset algorithm with prior format data; Based on the preset algorithm for the data with prior format, the preset format data within the data range is identified to obtain the insurance product data corresponding to the entity information.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for configuring insurance product underwriting data according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for configuring insurance product underwriting data according to any one of claims 1 to 5.

Images