CN112416465A - Information configuration method and device, electronic equipment and storage medium - Google Patents
Information configuration method and device, electronic equipment and storage medium Download PDFInfo
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- CN112416465A CN112416465A CN202011385863.7A CN202011385863A CN112416465A CN 112416465 A CN112416465 A CN 112416465A CN 202011385863 A CN202011385863 A CN 202011385863A CN 112416465 A CN112416465 A CN 112416465A
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- configuration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
- G06F9/4451—User profiles; Roaming
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2291—User-Defined Types; Storage management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Abstract
The application provides an information configuration method, an information configuration device, electronic equipment and a storage medium, wherein the information configuration method comprises the following steps: acquiring information structure configuration; generating a configuration object according to the information structure configuration; the configuration object is persisted to a database. The method is used for supporting dynamic configuration of risk reserves by a flexible data configuration model, adopting a data association and copy mode, greatly reducing repeated development work, and greatly reducing the risk reserve calculation timeliness based on a risk reserve solution of a pre-calculation model.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an information configuration method and apparatus, an electronic device, and a storage medium.
Background
The calculation of the product risk insurance in the traditional insurance business system is developed in a SQL or Java code mode, which relates to the development or upgrade of risk insurance algorithm, the system needs to be restarted to load the risk insurance algorithm or data of the newly developed product, and the risk insurance of the client historical insurance policy is calculated in real time each time, which consumes longer time.
The existing scheme basically adopts a risk guarantee data model with a fixed structure, does not support the configuration of complex and changeable logics such as dynamic increase and modification of a risk guarantee algorithm, does not have risk guarantee precomputation capability, needs to calculate in real time each time the risk guarantee is used, consumes long time, increases the time for investment and guarantee of a guarantee policy, and influences customer experience.
Disclosure of Invention
An object of the embodiments of the present application is to provide an information configuration method and apparatus, an electronic device, and a non-transitory readable storage medium of an electronic device, so as to solve technical problems in the prior art.
In a first aspect, the present invention provides an information configuration method, including: acquiring information structure configuration; generating a configuration object according to the information structure configuration; the configuration object is persisted to a database.
In an alternative embodiment, the method further comprises: acquiring policy data, wherein the policy data comprises identification information of a corresponding configuration object; inquiring a configuration object in a database according to policy data; and calling a pre-calculation model according to the configuration object to calculate the configuration limit data of the policy data.
In an alternative embodiment, the information structure configuration includes an entity configuration, and generating the configuration object according to the information structure configuration includes: configuring a structural model based on a dynamic algorithm to generate an object to be configured; and defining the type information and the algorithm information of the object to be configured to generate the configuration object.
In an alternative embodiment, the information structure configuration comprises a component configuration, and generating the configuration object according to the information structure configuration comprises: and generating a configuration limit relational expression according to the combination of the business relation information and the category information.
In a second aspect, the present invention provides an information configuring apparatus, comprising: the first acquisition module is used for acquiring information structure configuration; the first generation module is used for generating a configuration object according to the information structure configuration; the first writing module is used for persisting the configuration object to the database.
In an alternative embodiment, the method further comprises: the second acquisition module is used for acquiring policy data, and the policy data comprises identification information of a corresponding configuration object; the first configuration module is used for inquiring a configuration object in the database according to the policy data; and the first calculation module is used for calling a pre-calculation model according to the configuration object and calculating the configuration limit data of the policy data.
In an alternative embodiment, the information structure configuration includes an entity configuration, and the first generating module is further configured to: configuring a structural model based on a dynamic algorithm to generate an object to be configured; and defining the type information and the algorithm information of the object to be configured to generate the configuration object.
In an alternative embodiment, the information structure configuration includes a component configuration, and the first generation module is further configured to: and generating a configuration limit relational expression according to the combination of the business relation information and the category information.
In a third aspect, the present invention provides an electronic device comprising: a memory to store a computer program; a processor configured to perform the method of any of the preceding embodiments.
In a fourth aspect, the present invention provides a non-transitory electronic device readable storage medium comprising: a program which, when run by an electronic device, causes the electronic device to perform the method of any of the preceding embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 2 is a flowchart of an information configuring method according to an embodiment of the present application;
fig. 3 is a flowchart of another information configuring method provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of an information configuring apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
As shown in fig. 1, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor being exemplified in fig. 1. The processor 11 and the memory 12 are connected by a bus 10, and the memory 12 stores instructions executable by the processor 11 and the instructions are executed by the processor 11.
In an embodiment, the electronic device 1 may be a mobile phone, a notebook computer, or the like.
Referring to fig. 2, which is a flowchart of an information configuring method according to an embodiment of the present application, the method may be executed by the electronic device 1 shown in fig. 1 to implement flexible configuration of an algorithm model according to policy data and fast calculation of quota data. The method comprises the following steps:
step 201: an information structure configuration is obtained.
In this step, the information structure configuration may include an entity configuration and a component configuration. In one embodiment, the information structure configuration may be a risk allowance information structure configuration: the risk allowance information configuration includes an entity configuration and a component configuration. An entity is a set of information items with business relationships, and is a table in a relational database, and the information items in the group can specify the cascade relationship among the information items. A component is a combination of a set of entities having business relationships, which may be understood as a table association in a relational database, and entities within a component may specify the association relationships of each entity within the component. A set of business related components are combined together to form a risk allowance structure. And the risk and insurance premium calculation data in the insurance policy insurance application process are respectively persisted into a database in the dimensions of risk seeds and customers so as to be convenient for quick inquiry in the later period and realize the precalculation of the risk and insurance premium.
Step 202: and generating a configuration object according to the information structure configuration.
In this step, the information structure configuration includes entity configuration, and the object to be configured is generated based on the dynamic algorithm configuration structure model, and then the category information and the algorithm information of the object to be configured are defined to generate the configuration object. In one embodiment, risk information, risk guarantee type information and risk guarantee algorithm information are configured based on risk guarantee objects formed by a dynamic algorithm configuration structure model. The dangerous case information is various attribute information defined by the current dangerous case; the risk insurance type information refers to the risk category related to the risk insurance needing to be accumulated, such as life insurance, serious diseases, etc. The risk allowance algorithm information may be a computational implementation logic of the risk allowance.
In one embodiment, the information structure configuration includes component configuration, and the configuration limit relational expression is generated according to the combination of the business relation information and the category information. And combining and configuring a group of risk premium algorithms with business relations and the dangerous seeds to form a risk premium information structure. The risk insurance policy data is used as the input parameter, the risk insurance amount is calculated according to the risk insurance amount information structure, and the calculation result is persisted in the database.
Step 203: the configuration object is persisted to a database.
Through the steps, the information configuration method can realize the full dynamic configuration of the risk premium model and the risk seed association and calculation configuration based on the model. The risk premium algorithm is the basic component of the risk premium, and each risk in the insurance business corresponds to one or more risk premium algorithm types. And the dynamic configuration of the risk quota is realized by restricting the association between the entities through the components.
Because the types of the dangerous seeds are different, some dangerous seeds correspond to one kind of risk premium algorithm, some dangerous seeds correspond to a plurality of kinds of risk premium algorithms, and different dangerous seeds can also correspond to the same risk premium algorithm, the dangerous seeds and the risk premium algorithms are designed into an incidence relation and are not in a binding relation, if one risk premium algorithm is contained by a plurality of dangerous seeds, the risk premium algorithm only needs to be developed once, and the development and test efficiency of the risk premium is greatly improved.
Referring to fig. 3, which is a flowchart of an information configuration method provided in an embodiment of the present application, the method may be executed by the electronic device 1 shown in fig. 1 to implement flexible configuration of an algorithm model according to policy data and fast calculation of quota data. The method comprises the following steps:
step 301: an information structure configuration is obtained. Please refer to the description of step 201 in the above embodiments.
Step 302: and generating a configuration object according to the information structure configuration. Please refer to the description of step 202 in the above embodiments.
Step 303: the configuration object is persisted to a database. Please refer to the description of step 203 in the above embodiments.
Step 304: policy data is obtained.
In step(s), the policy data includes identification information of the corresponding configuration object. In one embodiment, the risk premium precomputation refers to calculating risk premium data related to the insurance policy risk by taking the insurance policy data as an entry parameter in the insurance policy application process, and persisting the risk premium data in a database table, so that the risk premium data can be rapidly inquired and applied, the risk premium calculation timeliness is greatly reduced, and the customer insurance investment experience is improved.
Step 305: and inquiring the configuration object in the database according to the policy data.
In this step, after the risk insurance entity and the component are configured, the risk insurance testing function is used to complete the business data entry through the interface service provided by the risk insurance system according to the configured information, and then the risk insurance testing is performed. Risk insurance pre-calculation comprises two dimensions, wherein one dimension is a risk variety dimension, a policy risk variety is used as a calculation dimension, and after risk insurance related to the risk variety is calculated, the risk insurance is persisted in a database table of the policy risk variety dimension; one is a customer dimension, and the risk reserves related to the insurance policy are respectively accumulated into the risk reserves of the customer after the calculation of the risk reserves is finished by taking the insurance policy customer as a calculation dimension, and are persisted into a database table of the customer dimension. And providing query service interfaces with different dimensions for the outside respectively, and realizing rapid query application with different dimensions of risk guarantee.
Step 306: and calling a pre-calculation model according to the configuration object to calculate the configuration limit data of the policy data.
In this step, the configured risk guarantee information structure is served through an interface, an actual service data test case is input, calculation of risk guarantees in an actual service scene is simulated, and various results are verified and compared. By publishing this information to the production environment through the publishing function, the associated risk premium service formally takes effect and begins to provide the risk premium service. And the related business systems such as the application, the renewal and the security call risk premium information services provided by the system according to needs, so that the risk premium is configured once and used for multiple times.
For example, the risk seeds ADDP are configured with the life risk insurance algorithm, which requires modifying the risk life risk insurance calculation logic and adding the serious risk insurance accumulation, and the serious risk insurance algorithm is the same as the life risk insurance algorithm. (1) Judging whether the ADDP life risk insurance algorithm has other risk varieties for use, if so, adding an algorithm, otherwise, directly modifying the current algorithm.
(2) Newly-increased serious risk premium type configuration of the risk seeds ADDP in the database and is related to the corresponding algorithm configuration.
(3) The production environment can be immediately effective after the test is passed, the application is not required to be restarted, and the dynamic configuration of risk guarantee is realized.
The independence of the algorithm determines that the algorithm does not need to be repeatedly developed, and the algorithm with the same computational logic only needs to be developed once, so that the repeated development work is greatly reduced. For example, the added risk species ADDF, the risk guarantee accumulation type is the same as the risk species ADDP, and the risk guarantee algorithm is completely the same:
(1) the ADDP risk quota configuration is copied and the risk is modified to ADDF.
(2) And releasing production after the test is passed.
Referring to fig. 4, which is a schematic structural diagram of an information configuring apparatus 400 according to an embodiment of the present disclosure, the information configuring apparatus 400 may be applied to the electronic device 1 shown in fig. 1 to flexibly configure an algorithm model according to policy data and quickly calculate quota data. The device includes:
a first obtaining module 401, configured to obtain an information structure configuration. Please refer to the description of step 201 in the above embodiments.
A first generating module 402 for generating a configuration object according to the information structure configuration. Please refer to the description of step 202 in the above embodiments.
In an alternative embodiment, the information structure configuration includes an entity configuration, and the first generating module 402 is further configured to: configuring a structural model based on a dynamic algorithm to generate an object to be configured; and defining the type information and the algorithm information of the object to be configured to generate the configuration object.
In an alternative embodiment, the information structure configuration includes a component configuration, and the first generating module 402 is further configured to: and generating a configuration limit relational expression according to the combination of the business relation information and the category information.
A first write module 403, configured to persist the configuration object to the database. Please refer to the description of step 203 in the above embodiments.
A second obtaining module 404, configured to obtain policy data, where the policy data includes identification information of a corresponding configuration object. Please refer to the description of step 304 in the above embodiment.
A first configuration module 405, configured to query the configuration object in the database according to the policy data. Please refer to the description of step 305 in the above embodiment.
The first calculation module 406 is configured to invoke a pre-calculation model according to the configuration object, and calculate the configuration limit data of the policy data. Please refer to the description of step 301 in the above embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of one logic function, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above embodiments are merely examples of the present application and are not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An information configuration method, comprising:
acquiring information structure configuration;
generating a configuration object according to the information structure configuration;
persisting the configuration object to a database.
2. The method of claim 1, further comprising:
acquiring policy data, wherein the policy data comprises identification information corresponding to the configuration object;
querying the configuration object in the database according to the policy data;
and calling a pre-calculation model according to the configuration object to calculate the configuration limit data of the policy data.
3. The method of claim 1, wherein the information structure configuration comprises an entity configuration, and wherein generating a configuration object according to the information structure configuration comprises:
configuring a structural model based on a dynamic algorithm to generate an object to be configured;
and defining the category information and the algorithm information of the object to be configured to generate a configuration object.
4. The method of claim 1, wherein the information structure configuration comprises a component configuration, and wherein generating a configuration object according to the information structure configuration comprises:
and generating a configuration limit relational expression according to the combination of the business relation information and the category information.
5. An information configuring apparatus, comprising:
the first acquisition module is used for acquiring information structure configuration;
the first generation module is used for generating a configuration object according to the information structure configuration;
a first write module to persist the configuration object to a database.
6. The apparatus of claim 5, further comprising:
a second obtaining module, configured to obtain policy data, where the policy data includes identification information corresponding to the configuration object;
the first configuration module is used for inquiring the configuration object in the database according to the policy data;
and the first calculation module is used for calling a pre-calculation model according to the configuration object, and the calculation model calculates the configuration limit data of the policy data.
7. The apparatus of claim 5, wherein the information structure configuration comprises an entity configuration, and wherein the first generation module is further configured to:
configuring a structural model based on a dynamic algorithm to generate an object to be configured;
and defining the category information and the algorithm information of the object to be configured to generate a configuration object.
8. The apparatus of claim 5, wherein the information structure configuration comprises a component configuration, and wherein the first generation module is further configured to:
and generating a configuration limit relational expression according to the combination of the business relation information and the category information.
9. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 4.
10. A non-transitory electronic device readable storage medium, comprising: program which, when run by an electronic device, causes the electronic device to perform the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011385863.7A CN112416465A (en) | 2020-11-30 | 2020-11-30 | Information configuration method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011385863.7A CN112416465A (en) | 2020-11-30 | 2020-11-30 | Information configuration method and device, electronic equipment and storage medium |
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| CN112416465A true CN112416465A (en) | 2021-02-26 |
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| CN111142749A (en) * | 2019-12-19 | 2020-05-12 | 阳光人寿保险股份有限公司 | Insurance product issuing method, system and terminal equipment |
| CN111966704A (en) * | 2020-07-09 | 2020-11-20 | 杭州传化智能制造科技有限公司 | ORM framework implementation method, system, computer equipment and storage medium |
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| US20140032725A1 (en) * | 2009-08-28 | 2014-01-30 | Adobe Systems Incorporated | Method and system for deploying a model-based application to an application server |
| CN107945030A (en) * | 2017-12-08 | 2018-04-20 | 中国平安财产保险股份有限公司 | Collocation method, device, computer equipment and the storage medium of premium formula |
| CN111142749A (en) * | 2019-12-19 | 2020-05-12 | 阳光人寿保险股份有限公司 | Insurance product issuing method, system and terminal equipment |
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