CN110704423B - Excitation information acquisition method and device, storage medium and electronic equipment - Google Patents
Excitation information acquisition method and device, storage medium and electronic equipment Download PDFInfo
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- CN110704423B CN110704423B CN201910817344.4A CN201910817344A CN110704423B CN 110704423 B CN110704423 B CN 110704423B CN 201910817344 A CN201910817344 A CN 201910817344A CN 110704423 B CN110704423 B CN 110704423B
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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
- G06F16/2282—Tablespace storage structures; Management thereof
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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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
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- G—PHYSICS
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- 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 discloses an excitation information acquisition method and device, a storage medium and electronic equipment, and relates to the technical field of data query. Firstly, acquiring insurance policy information and insurance mechanism identification; then extracting available dimension information associated with the insurance mechanism identification from the insurance policy information, wherein the available dimension information is an influence factor of the excitation information to be acquired; then, according to the dimension value of each available dimension information, inquiring a dimension name associated with each dimension value from a set dimension name relation table, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name; and finally, acquiring the excitation information in the target service type data containing all the inquired dimension names from a preset service type data table, so that the service data does not need to be traversed item by item, the workload is reduced, the inquiry efficiency of excitation is improved, and the inquiry time is shortened.
Description
Technical Field
The present application relates to the field of data query technologies, and in particular, to a method and an apparatus for obtaining incentive information, a storage medium, and an electronic device.
Background
In insurance services, typically, insurance policy information is entered into an insurance policy generation platform by an insured person and operated on the insurance policy generation platform by a business person to generate an insurance policy. In the process of generating the insurance policy, since the business personnel are working, the business personnel need to be stimulated. The size of the stimulus needs to be determined by factors in the insurance policy that affect the stimulus. Thus, it is necessary to extract factors that affect incentives in the insurance policy and match incentives according to the factors that affect incentives in the insurance policy.
In a traditional excitation matching mode, service data in a set excitation matching table are traversed one by one until service data containing all factors influencing excitation are obtained, and excitation is extracted from the service data. However, generally, the amount of traffic data in the incentive matching table is very large, and the workload of acquiring the incentive in the above manner is very large, the efficiency is very low, and the time is long.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides an incentive information acquiring method, including:
acquiring insurance policy information and insurance mechanism identification;
extracting available dimension information associated with the insurance agency identification from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
inquiring a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name;
and acquiring excitation information in the target service type data containing all the inquired dimension names from a preset service type data table.
Optionally, the obtaining, from a preset service type data table, excitation information in target service type data including all the queried dimension names includes:
acquiring a service type data set corresponding to the dimension name associated with each dimension value from a preset service type data table;
and extracting the intersection of all the service type data sets as target service type data, wherein the target service type data comprises excitation information.
Optionally, each piece of service type data records a priority, and the extracting an intersection of all service type data sets as target service type data includes:
when the intersection of all the service type data sets is extracted to contain a plurality of pieces of service type data, sequencing the plurality of pieces of service type data according to the priority;
and taking the service type data with the highest priority as target service type data.
Optionally, the method further comprises:
and responding to a dimension adding instruction sent by the user terminal, and adding a dimension name contained in the service type data in the preset service type data table.
Optionally, the obtaining, from a preset service type data table, excitation information in target service type data including all the queried dimension names includes:
and acquiring excitation information in target service type data containing all the inquired dimension names from a preset service type data table through a plurality of threads.
Optionally, the condition that the dimension value needs to satisfy is whether the dimension value is a preset dimension value or is within a preset dimension value range.
Optionally, the method further comprises:
and sending the incentive information to an insurance policy generation platform.
In a second aspect, an embodiment of the present application further provides an incentive information acquiring apparatus, including:
an information obtaining unit configured to obtain insurance policy information and an insurance agency identification;
an information extraction unit configured to extract available dimension information associated with the insurance agency identifier from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
the information query unit is configured to query a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which need to be met by the dimension value corresponding to each dimension name;
and the information acquisition unit is configured to acquire the excitation information in the target service type data containing all the inquired dimension names from a preset service type data table.
In a third aspect, an embodiment of the present application further provides a storage medium, on which a computer program is stored, where the computer program is configured to, when executed by a processor, implement the steps of the method provided in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including:
a memory having a computer program stored thereon;
a processor configured to execute the computer program in the memory to implement the steps of the method provided by the first aspect of the embodiments of the present application.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: firstly, acquiring insurance policy information and insurance mechanism identification; then extracting available dimension information associated with the insurance mechanism identification from the insurance policy information, wherein the available dimension information is an influence factor of the excitation information to be acquired; then, according to the dimension value of each available dimension information, inquiring a dimension name associated with each dimension value from a set dimension name relation table, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name; and finally, acquiring the excitation information in the target service type data containing all the inquired dimension names from a preset service type data table, so that the service data does not need to be traversed item by item, the workload is reduced, the inquiry efficiency of excitation is improved, and the inquiry time is shortened.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is an interaction diagram of a policy generation system provided in an embodiment of the present application;
fig. 2 is a flowchart of an incentive information acquiring method according to an embodiment of the present application;
fig. 3 is a flowchart of an incentive information acquiring method according to an embodiment of the present application;
fig. 4 is a detailed flowchart of S24 in fig. 3;
fig. 5 is a flowchart of an incentive information acquiring method according to an embodiment of the present application;
fig. 6 is a functional block diagram of an excitation information acquiring apparatus according to an embodiment of the present application;
fig. 7 is a functional block diagram of an excitation information acquiring apparatus according to an embodiment of the present application;
fig. 8 is a block diagram of specific functional modules of a data extraction module according to an embodiment of the present disclosure;
fig. 9 is a functional block diagram of an excitation information acquiring apparatus according to an embodiment of the present application;
fig. 10 is a functional block diagram of an excitation information acquiring apparatus according to an embodiment of the present application;
fig. 11 is a circuit connection block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
The embodiment of the application provides an incentive information acquisition method, which is applied to a server 103, wherein the server 103 is applied to a policy generation system. The policy generation system further comprises a user terminal 101 and a policy generation platform, wherein the policy generation platform is respectively in communication connection with the server 103 and the user terminal 101 to realize data interaction, and the method comprises the following steps:
s21: acquiring insurance policy information and insurance agency identification.
Wherein the insurance policy information includes a plurality of dimension information, for example, when the insurance policy type is car insurance, the plurality of dimension information may include: owner gender, owner age, insured date, premium, vehicle model, vehicle displacement, etc. The insurance agency identification may be, for example, an agency code of XX insurance company, Beijing division, Haihu branch company, an agency code of XX insurance company, Sichuan division, Wuhou branch company.
In addition, the insurance policy information and the insurance agency identifier may be obtained in a manner that the insurance policy generation platform receives the insurance policy information and the insurance agency identifier entered by the user and sent by the user terminal 101, and then the server 103 receives the insurance policy information and the insurance agency identifier sent by the insurance policy generation platform.
S22: and extracting available dimension information associated with the insurance agency identification from the insurance policy information.
And the available dimension information is an influence factor of the excitation information to be acquired. The insurance policy requires the business personnel to operate at the insurance policy generation platform 102 before it can be generated. In the process of generating the insurance policy, since the business personnel are working, the business personnel need to be stimulated. The size of the stimulus needs to be determined by factors in the insurance policy that affect the stimulus. For example, young people may have more traffic accidents and affect their premium, so age may be used as an influencing factor for incentive information; for another example, the price of the vehicle also affects the premium, and therefore, the model of the vehicle may also be used as an influence factor of the incentive information, and the like. For different insurance organizations, the set premium calculation rules are different, and therefore the influence factors of the set incentive information to be acquired are also different, and therefore, the available dimension information associated with the insurance organization identification needs to be extracted from the insurance policy information.
S23: and inquiring the dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each piece of available dimension information.
The dimension name relation table comprises conditions which need to be met by the dimension value corresponding to each dimension name. For example, when the available dimension information is gender, the dimension value is "male" or "female"; when the available dimension information is age, the dimension value is a specific age value. Optionally, the condition that the dimension value needs to satisfy is whether the dimension value is a preset dimension value (for example, whether the gender is male) or is within a preset dimension value range (for example, whether the age is within a preset range). The specific contents of the set dimension name relationship table can be as shown in table 1.
TABLE 1
S24: and acquiring excitation information in the target service type data containing all the inquired dimension names from a preset service type data table.
When the target type data comprises all the dimension names, the target type data is stated to meet the condition of configuring the incentive information. Wherein the content of the first and second substances,the preset service type data table is set for the insurance mechanism according to the policy of the insurance mechanism, and the specific content can be As shown in table 2. Wherein the incentive information may be, but is not limited to, a premium draw, such as 5% of the premium, 4% of the premium, insurance 4.5% of the premium, etc.
TABLE 2
In table 2, each row of data is a piece of service type data, and the charge rate is incentive information.
Optionally, S24 includes:
and acquiring excitation information in target service type data containing all the inquired dimension names from a preset service type data table through a plurality of threads.
It can be understood that, by using the high-concurrency data access technology of the memory database, the incentive information in the target service type data containing all the queried dimension names is obtained in a multi-thread manner, so that the incentive query efficiency can be further improved, and the query time is shortened.
The method for acquiring the incentive information comprises the steps of firstly acquiring insurance policy information and insurance mechanism identification; then extracting available dimension information associated with the insurance mechanism identification from the insurance policy information, wherein the available dimension information is an influence factor of the excitation information to be acquired; then, according to the dimension value of each available dimension information, inquiring a dimension name associated with each dimension value from a set dimension name relation table, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name; and finally, acquiring the excitation information in the target service type data containing all the inquired dimension names from a preset service type data table, so that the service data does not need to be traversed item by item, the workload is reduced, the inquiry efficiency of the excitation is improved, and the inquiry time is shortened.
Alternatively, as shown in fig. 3, S24 includes:
s31: and acquiring a service type data set corresponding to the dimension name associated with each dimension value from a preset service type data table.
For example, in table 2, the service type data set including B2 includes service type data ID2 and service type data ID4, and the service type data set including C2 includes service type data ID2 and service type data ID 3.
S32: and extracting the intersection of all the service type data sets as target service type data, wherein the target service type data comprises excitation information.
Based on the example in S31, the intersection of the service type data set containing B2 and the service type data set containing B3 is the service type data ID2, and obviously, the incentive information contained in the service type data ID2 is also obtained.
Optionally, as shown in table 2, each piece of service type data is recorded with a priority, as shown in fig. 4, the S32 includes:
s41: and when the intersection of all the service type data sets is extracted to contain a plurality of pieces of service type data, sequencing the plurality of pieces of service type data according to the priority.
For example, as shown in table 2, when the intersection of all the extracted service type data sets includes service type data ID1 (priority 4), service type data ID2 (priority 3), and service type data ID3 (priority 2), the result of sorting by priority is service type data ID3, service type data ID2, and service type data ID 1.
S42: and taking the service type data with the highest priority as target service type data.
And taking the service type data with the highest priority as target service type data, and the data most accord with the policy of the current insurance institution.
Optionally, as shown in fig. 5, the method further includes:
s51: and adding the dimension name contained in the service type data in the preset service type data table in response to a dimension adding instruction sent by the user terminal 101.
Through S51, the extension of the dimension name contained in the service type data in the preset service type data table can be realized without changing the field by a developer. It should be noted that the storage method of the dimension information needs to be stored in columns, and the data storage structure is shown in table 3.
TABLE 3
Optionally, the incentive information is sent to the insurance policy generation platform 102.
Business personnel may review the incentive information at the insurance policy generation platform 102.
Referring to fig. 6, an incentive information acquiring apparatus 600 is further provided in the embodiment of the present application, it should be noted that the basic principle and the generated technical effect of the incentive information acquiring apparatus 600 provided in the embodiment of the present application are the same as those of the above embodiment, and for the sake of brief description, corresponding contents in the above embodiment may be referred to where this embodiment is not mentioned in part. The device excitation information acquisition 600 includes an information acquisition unit 601, an information extraction unit 602, an information inquiry unit 603, and an information acquisition unit 604, wherein,
the information obtaining unit 601 is configured to obtain insurance policy information and an insurance agency identification.
The information extraction unit 602 is configured to extract available dimension information associated with the insurance agency identification from the insurance policy information.
And the available dimension information is an influence factor of the excitation information to be acquired.
The information query unit 603 is configured to query a dimension name associated with each dimension value from a set dimension name relationship table according to the dimension value of each available dimension information.
The dimension name relationship table includes conditions that the dimension value corresponding to each dimension name needs to satisfy. Optionally, the condition that the dimension value needs to satisfy is whether the dimension value is a preset dimension value or is within a preset dimension value range.
The information obtaining unit 604 is configured to obtain the incentive information in the target service type data containing all the queried dimension names from a preset service type data table.
The excitation information acquiring apparatus 600 can realize the following functions: acquiring insurance policy information and insurance agency identification; extracting available dimension information associated with the insurance agency identification from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired; inquiring a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name; and acquiring the excitation information in the target service type data containing all the inquired dimension names from a preset service type data table, so that the service data does not need to be traversed item by item, the workload is reduced, the inquiry efficiency of excitation is improved, and the inquiry time is shortened.
Optionally, as shown in fig. 7, the information obtaining unit 604 includes:
the information obtaining module 701 is configured to obtain, from a preset service type data table, a service type data set corresponding to the dimension name associated with each dimension value.
A data extraction module 702 configured to extract an intersection of all the service type data sets as target service type data.
Wherein the target service type data includes incentive information. Optionally, the data extraction module 702 is specifically configured to obtain, through a plurality of threads, incentive information in the target service type data including all the queried dimension names from a preset service type data table.
Optionally, each piece of service type data records a priority, as shown in fig. 8, the data extraction module 702 includes:
the sorting sub-module 801 is configured to, when the intersection of all the service type data sets includes multiple pieces of service type data, sort the multiple pieces of service type data according to the priority.
The data extraction sub-module 802 takes the service type data with the highest priority as the target service type data.
Optionally, as shown in fig. 9, the incentive information acquiring apparatus 600 further includes:
an information adding unit 901, configured to add a dimension name included in the service type data in the preset service type data table in response to a dimension adding instruction sent by the user terminal 101.
Optionally, as shown in fig. 10, the incentive information acquiring apparatus 600 further includes:
an information sending unit 1001 configured to send the incentive information to the insurance policy generation platform 102.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 11, at the hardware level, the electronic device may be, for example, a server in the above embodiment. The electronic device comprises a processor, and optionally an internal bus, a network interface and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 11, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the excitation information acquisition device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
acquiring insurance policy information and insurance mechanism identification;
extracting available dimension information associated with the insurance agency identification from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
inquiring a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name;
and acquiring excitation information in the target service type data containing all the inquired dimension names from a preset service type data table.
The method executed by the excitation information acquiring apparatus according to the embodiment shown in fig. 2 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
Of course, besides the software implementation, the electronic device of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to perform the method of the embodiment shown in fig. 2, and are specifically configured to:
acquiring insurance policy information and insurance mechanism identification;
extracting available dimension information associated with the insurance agency identification from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
inquiring a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name;
and acquiring excitation information in the target service type data containing all the inquired dimension names from a preset service type data table.
In short, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. 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.
The systems, apparatuses, modules or units described in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (9)
1. An incentive information acquisition method, comprising:
acquiring insurance policy information and insurance mechanism identification;
extracting available dimension information associated with the insurance agency identification from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
inquiring a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which are required to be met by the dimension value corresponding to each dimension name;
acquiring excitation information in target service type data containing all inquired dimension names from a preset service type data table;
the acquiring, from a preset service type data table, the incentive information in the target service type data including all the queried dimension names includes:
acquiring a service type data set corresponding to the dimension name associated with each dimension value from a preset service type data table;
and extracting the intersection of all the service type data sets as target service type data, wherein the target service type data comprises excitation information.
2. The method of claim 1, wherein each service type data record a priority, and wherein extracting an intersection of all service type data sets as a target service type data comprises:
when the intersection of all the service type data sets is extracted to contain a plurality of pieces of service type data, sequencing the plurality of pieces of service type data according to the priority;
and taking the service type data with the highest priority as target service type data.
3. The method of claim 1, further comprising:
and responding to a dimension adding instruction sent by the user terminal, and adding a dimension name contained in the service type data in the preset service type data table.
4. The method according to claim 1, wherein the obtaining of the incentive information in the target service type data including all the queried dimension names from the preset service type data table comprises:
and acquiring excitation information in target service type data containing all the inquired dimension names from a preset service type data table through a plurality of threads.
5. The method of claim 1, wherein the condition that the dimension value needs to satisfy is whether the dimension value is a preset dimension value or is within a preset dimension value range.
6. The method of claim 1, further comprising:
and sending the incentive information to an insurance policy generation platform.
7. An incentive information acquisition apparatus, comprising:
an information obtaining unit configured to obtain insurance policy information and an insurance agency identification;
an information extraction unit configured to extract available dimension information associated with the insurance agency identifier from the insurance policy information, wherein the available dimension information is an influence factor of incentive information to be acquired;
the information query unit is configured to query a dimension name associated with each dimension value from a set dimension name relation table according to the dimension value of each available dimension information, wherein the dimension name relation table comprises conditions which need to be met by the dimension value corresponding to each dimension name;
the information acquisition unit is configured to acquire excitation information in target service type data containing all the inquired dimension names from a preset service type data table;
the information acquisition unit includes:
the information acquisition module is configured to acquire a service type data set corresponding to the dimension name associated with each dimension value from a preset service type data table;
and the data extraction module is configured to extract the intersection of all the service type data sets as target service type data.
8. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
9. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 6.
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| CN113781089A (en) * | 2021-02-10 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Order information processing method and device |
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