Insurance policy performance determination method and device, electronic equipment and storage medium
By obtaining and grouping different versions of performance strategies and initial policy elements and matching them, the problem that the existing technology cannot effectively evaluate policy performance afterwards is solved, batch matching and evaluation of policy performance is achieved, and the work efficiency of sales personnel is improved. Incentive mechanism.
Patent Information
- Application Number
- CN202411455643.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2024-12-27
AI Technical Summary
The prior art cannot effectively perform performance evaluation after insurance sales personnel sell their insurance policies, resulting in the inability to distinguish between sales personnel from more work and more gains and good work and bad work.
By obtaining multiple different versions of performance determination strategies and initial policy elements, grouping and matching processing, determining the second policy elements of the policy group, and determining the performance information of the initial policy based on the strategy, achieving batch matching and evaluation of policy performance.
It improves the efficiency of determining policy performance, realizes effective evaluation of sales personnel in the performance evaluation process after the policy, and improves the enthusiasm and work efficiency of sales personnel.
Smart Images
Figure CN119204833A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to a method, device, electronic device and storage medium for determining insurance policy performance. Background Art
[0002] In order to guide the priority investment in high-quality business, improve the enthusiasm of insurance sales personnel, encourage more work and more pay, and avoid the situation where the same treatment is given to both more and less work and good and bad work, it is necessary to conduct post-performance evaluation of the insurance policies sold by sales personnel.
[0003] In the related art, since the policy elements involved in the post-performance evaluation of insurance policies are complex and the number of policies is large, the policy performance can usually only be determined at the insurance issuance stage, and it is impossible to conduct post-performance evaluation of the policies sold by sales personnel. Summary of the invention
[0004] The present disclosure proposes a policy performance determination method, device, electronic device, storage medium and computer program product, aiming to solve the technical problems in the related technology at least to a certain extent.
[0005] The first aspect of the present disclosure provides a method for determining policy performance, the method comprising: obtaining a plurality of different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding policy description information, and each performance determination strategy includes: a plurality of constraint information; obtaining a plurality of initial policies, wherein each initial policy has a plurality of corresponding first policy elements; grouping the plurality of initial policies according to the policy description information and the first policy elements to determine a policy group corresponding to each performance determination strategy; determining a second policy element corresponding to the policy group; matching the second policy element with the plurality of constraint information of each performance determination strategy to obtain a matching result; and when the matching result is a match, determining the policy performance information of each initial policy in the corresponding policy group according to the performance determination strategy.
[0006] The second aspect of the present disclosure provides a device for determining policy performance, the device comprising: a first acquisition module, used to acquire multiple different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding policy description information, and each performance determination strategy includes: multiple constraint information; a first acquisition module, used to acquire multiple initial policies, wherein each initial policy has corresponding multiple first policy elements; a first determination module, used to group the multiple initial policies according to the policy description information and the first policy elements to determine the policy group corresponding to each performance determination strategy; a second determination module, used to determine the second policy elements corresponding to the policy group; a processing module, used to match the second policy elements with the multiple constraint information of each performance determination strategy to obtain a matching result; and a third determination module, used to determine the policy performance information of each initial policy in the corresponding policy group according to the performance determination strategy when the matching result is a match.
[0007] The third aspect embodiment of the present disclosure proposes an electronic device, comprising: a processor; a memory for storing processor executable instructions; wherein the processor is configured to execute instructions to implement a policy performance determination method as described in the first aspect embodiment of the present disclosure.
[0008] The fourth aspect embodiment of the present disclosure proposes a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by the processor of an electronic device, the electronic device can implement the policy performance determination method as in the first aspect embodiment of the present disclosure.
[0009] The fifth aspect embodiment of the present disclosure proposes a computer program product, including a computer program, characterized in that the computer program is executed by a processor as the policy performance determination method of the first aspect embodiment of the present disclosure.
[0010] The policy performance determination method, device, electronic device, storage medium and computer program product proposed in this embodiment have at least the following beneficial effects: by obtaining multiple different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding policy description information, and each performance determination strategy includes: multiple constraint information, multiple initial policies are obtained, wherein each initial policy has corresponding multiple first policy elements; the multiple initial policies are grouped according to the policy description information and the first policy elements to determine the policy group corresponding to each performance determination strategy; the second policy element corresponding to the policy group is determined; the second policy element and the multiple constraint information of each performance determination strategy are matched to obtain a matching result; when the matching result is a match, the policy performance information of each initial policy in the corresponding policy group is determined according to the performance determination strategy, thereby enabling batch matching between policy elements and performance determination strategies to be achieved in the post-performance evaluation link of the policy, thereby improving the efficiency of determining policy performance.
[0011] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0013] Figure 1 is a flow chart of a method for determining policy performance according to the first embodiment of the present disclosure;
[0014] Figure 2 is a block diagram of a device for determining insurance policy performance according to the present disclosure;
[0015] Figure 3 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION
[0016] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.
[0017] It should be noted that the execution entity of the insurance policy performance determination method of this embodiment may be a first server, and the first server may be configured in an electronic device, and the electronic device may include but is not limited to a terminal, a server, and the like.
[0018] It should be noted that the process of obtaining, storing, using, and processing information in the disclosed technical solution complies with the relevant provisions of national laws and regulations and does not violate public order and good morals.
[0019] It should be noted that in the embodiments of the present application, there may be existing solutions in the industry such as certain software, components, models, etc., which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the relevant content of the solution.
[0020] Figure 1 is a flow chart of a method for determining policy performance according to the first embodiment of the present disclosure, such as Figure 1 As shown, the method includes:
[0021] S101: Acquire a plurality of different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding strategy description information, and each performance determination strategy includes: a plurality of constraint information.
[0022] Among them, the performance determination strategy is used to describe the performance determination rules of the insurance policy. The performance determination strategy can be, for example: a 2% performance is given to the salesperson corresponding to the 2023 auto insurance policy, with no restrictions on this.
[0023] Among them, the performance determination strategy for policies of the same type of insurance may include different versions. For example, the head office releases the first version of the performance determination strategy for auto insurance. In order to adapt to its personalized employee incentives, the subsidiary can adapt the first version of the performance determination strategy to obtain the second version of the performance determination strategy. Alternatively, according to different annual sales targets, different versions of the performance determination strategy can be customized for each annual sales target. There is no restriction on this.
[0024] Each version of the performance determination policy has corresponding policy description information, and the policy description information may include, for example, policy effective time, policy service object, etc., which is not limited.
[0025] Among them, each performance determination strategy includes: multiple constraint information, which is used to describe the rules that need to be followed when using the performance determination strategy, that is, only when the policy meets the constraint information in the performance determination strategy, can the performance determination strategy be used to determine the performance related to the policy.
[0026] S102: Acquire multiple initial insurance policies, wherein each initial insurance policy has corresponding multiple first insurance policy elements.
[0027] Among them, the initial policy refers to the policy obtained in the performance evaluation phase after the policy, whose performance of relevant personnel is yet to be determined.
[0028] Among them, each initial insurance policy includes the corresponding first insurance policy element, and the first insurance policy element can be, for example: the insured, the insured person, the insurance location, the insurance time, etc., without any limitation.
[0029] In the disclosed embodiment, a scheduled task may be set to periodically obtain multiple initial insurance policies. The scheduled task may adopt the Quartz framework, that is, the initial insurance policies whose related personnel performance is to be determined from multiple business scenarios may be obtained based on the Quartz framework's scheduled trigger.
[0030] S103: Grouping a plurality of initial insurance policies according to the policy description information and the first insurance policy element to determine an insurance policy group corresponding to each performance determination strategy.
[0031] In the disclosed embodiment, after obtaining multiple different versions of performance determination strategies and multiple initial policies, the multiple initial policies can be grouped according to the policy description information and the first policy element to determine the policy group corresponding to each performance determination strategy. As a result, in the subsequent execution of the policy performance determination method, the initial policies can be batch processed in policy groups, thereby saving resource consumption in the policy processing process and improving policy processing efficiency.
[0032] In some embodiments, multiple initial policies are grouped according to the policy description information and the first policy element to determine the policy group corresponding to each performance determination strategy. The policy description information, the first policy element and the identification information of the initial policy are input into the big model together, and the big model outputs multiple policy identification information corresponding to each performance determination strategy. The initial policies corresponding to the multiple policy identification information corresponding to each performance determination strategy are the same policy group.
[0033] In other embodiments, multiple initial policies are grouped according to the policy description information and the first policy element to determine the policy group corresponding to each performance determination strategy. The degree of match between the first policy element and the policy description information may also be determined, and if the degree of match is greater than a threshold, the initial policy corresponding to the first policy element is added to the policy group corresponding to the policy description information. There is no limitation on this.
[0034] In the disclosed embodiment, the policy description information includes: policy effective time and first insurance policy channel information.
[0035] Among them, the performance determination strategy can only be used for policies whose effectiveness or signing time is within the policy effectiveness time.
[0036] Among them, the first insurance policy channel information limits the source channel of the insurance policies that can use the performance determination strategy. The channel can be, for example: online channels and offline channels, geographical location channels, etc., and there is no restriction on this.
[0037] In the embodiment of the present disclosure, referring to Table 1, Table 1 exemplifies the policy effective time and the first policy channel information of different versions of the performance determination strategy.
[0038] Table 1
[0039]
[0040] Optionally, in some embodiments, multiple initial policies are grouped according to the policy description information and the first policy element to determine a policy group corresponding to each performance determination strategy. When the policy time in the first policy element belongs to the policy effective time and the second policy channel information in the first policy element is the same as the first policy channel information, the initial policies are divided into the policy group corresponding to the corresponding performance determination strategy.
[0041] That is to say, in the embodiment of the present disclosure, when the policy time in the first policy element belongs to the policy effective time and the second policy channel information in the first policy element is the same as the first policy channel information, the initial policy can be divided into the policy group corresponding to the corresponding performance determination strategy.
[0042] S104: Determine the second policy element corresponding to the policy group.
[0043] Among them, the policy element corresponding to the policy group is the second policy element.
[0044] In some embodiments, determining the second policy element corresponding to the policy group may be by taking the first policy element of each initial policy in the policy group as the second policy element, or by selecting a preset number of first policy elements from multiple first policy elements of multiple initial policies in the policy group and taking the preset number of first policy elements as the second policy element, without limitation.
[0045] Optionally, in some embodiments, determining the second policy element corresponding to the policy group may be to determine a custom policy element from multiple first policy elements corresponding to the policy group, respectively parsing each custom policy element to obtain a third policy element, and determining the second policy element corresponding to the policy group based on the third policy element and the first policy element corresponding to the policy group.
[0046] In the disclosed embodiment, since there may be hundreds of policy elements in a policy, and there may be custom dimensions, if all element information and custom dimension information of each policy are parsed and stored, a huge space will be required for storage. Each version is associated with the dimensions of the business rules, and the dimensions of different versions may be different. Therefore, for each version, according to the configured business rule dimensions and types, storage space is dynamically opened, and only the latitude value information of the required dimensions is stored, and the policy number is stored as an associated field in the storage device.
[0047] Among them, the custom policy element refers to the personalized policy element customized by the user in the policy. Since the custom policy element has a high degree of personalization, the pre-set performance determination strategy usually cannot be personalized for the custom policy element. Therefore, in the embodiment of the present disclosure, each custom policy element can be parsed separately to obtain a more general third policy element, so that the parsed third policy element can be compatible with the pre-set performance determination strategy.
[0048] In the disclosed embodiments, the customized policy elements may have the following characteristics: converted from a single policy element through mathematical formulas such as the four arithmetic operations, obtained by combining multiple policy elements through logical calculations, completely matching a certain type of constraint information, satisfying at least a certain type of constraint information, satisfying any number of constraint information, etc., without any restriction.
[0049] Optionally, in some embodiments, the second policy element corresponding to the policy group is determined based on the third policy element and the first policy element corresponding to the policy group. The second number of identical policy elements in the third policy element and the first policy element corresponding to the policy group may be determined. When the second number is greater than or equal to a second number threshold, the first policy element corresponding to the second number and / or the third policy element are used as the second policy element.
[0050] That is to say, in the embodiment of the present disclosure, the third policy element corresponding to the policy group and the second number of the same policy elements in the first policy element may be determined, and when the second number is greater than or equal to a second number threshold, the first policy element corresponding to the second number, and / or the third policy element may be used as the second policy element.
[0051] S105: Matching the second policy element with multiple constraint information of each performance determination strategy to obtain a matching result.
[0052] In the disclosed embodiment, after determining the second policy element corresponding to the policy group, the second policy element and multiple constraint information of each performance determination strategy may be matched to obtain a matching result.
[0053] Optionally, in some embodiments, the second policy element and multiple constraint information of each performance determination strategy are matched to obtain a matching result. The business priority corresponding to each constraint information is determined, and each constraint information is matched with the second policy element in order from high to low based on the business priority. A first number of constraint information matching the second policy element is determined, and a matching result is determined based on the first number.
[0054] Among them, business priorities can be determined according to the policy performance in the actual business scenario and set adaptively without any restrictions.
[0055] Optionally, in some embodiments, the matching result is determined based on the first quantity, and when the first quantity is greater than or equal to a first quantity threshold, the matching result is determined to be a match, and when the first quantity is less than the first quantity threshold, the matching result is determined to be a mismatch.
[0056] In the disclosed embodiment, it is possible to start from the business rule with the highest priority, assemble the constraint information into a matching statement, and match it with the second policy element based on the matching statement, that is, compare it with the real element value of the initial policy, and the initial policy that meets the requirements will match the constraint information. Since the element values of multiple policies may be consistent, a single match may match tens of thousands or hundreds of thousands of policies at a time, greatly improving the matching rate. After the first match is completed, the next element value is converted until all element values of the performance determination strategy have been matched.
[0057] For example, assuming that each version has ten dimensions on average and there are ten million policies, it will take ten million matches to match all the policies one by one according to the existing matching method, and each time it will need to parse ten dimensions. However, with this solution, in the best case, assuming there is only one version and each version has 20 rules, and in the best case, assuming that all the rules with the highest priority are hit, then one match is enough. Assuming that all policies are evenly distributed on each rule, only 20 matches are needed. This greatly improves the efficiency of the overall post-matching.
[0058] S106: When the matching result is a match, the policy performance information of each initial policy in the corresponding policy group is determined separately according to the performance determination strategy.
[0059] The policy performance information of the initial policy is used to describe the performance achieved by the relevant staff (eg, sales staff, management staff) of the initial policy when handling the initial policy.
[0060] In the disclosed embodiment, after matching the second policy element and multiple constraint information of each performance determination strategy to obtain a matching result, when the matching result is a match, the policy performance information of each initial policy in the corresponding policy group can be determined separately according to the performance determination strategy.
[0061] That is to say, in the embodiment of the present disclosure, the policy performance information of each initial policy may be determined according to the performance determination rules described in the performance determination strategy.
[0062] In the disclosed embodiment, multiple different versions of performance determination strategies are obtained, wherein each version of the performance determination strategy has corresponding policy description information, and each performance determination strategy includes: multiple constraint information, multiple initial policies are obtained, wherein each initial policy has corresponding multiple first policy elements; the multiple initial policies are grouped according to the policy description information and the first policy elements to determine a policy group corresponding to each performance determination strategy; the second policy element corresponding to the policy group is determined; the second policy element and the multiple constraint information of each performance determination strategy are matched to obtain a matching result; when the matching result is a match, the policy performance information of each initial policy in the corresponding policy group is determined separately according to the performance determination strategy, thereby enabling batch matching between policy elements and performance determination strategies to be achieved in the post-performance evaluation link of the policy, thereby improving the efficiency of determining policy performance.
[0063] Figure 2 is a block diagram of a device for determining policy performance according to the present disclosure, such as Figure 2 As shown, the policy performance determination device 20 comprises:
[0064] A first acquisition module 201 is used to acquire a plurality of different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding strategy description information, and each performance determination strategy includes: a plurality of constraint information;
[0065] A first acquisition module 202 is used to acquire a plurality of initial insurance policies, wherein each initial insurance policy has a corresponding plurality of first insurance policy elements;
[0066] A first determination module 203, configured to group a plurality of initial policies according to the policy description information and the first policy element, so as to determine a policy group corresponding to each performance determination strategy;
[0067] A second determination module 204, configured to determine a second policy element corresponding to the policy group;
[0068] A processing module 205 is used to match the second policy element with the plurality of constraint information of each performance determination strategy to obtain a matching result;
[0069] The third determination module 206 is used to determine the policy performance information of each initial policy in the corresponding policy group according to the performance determination strategy when the matching result is a match.
[0070] In some embodiments of the present disclosure, the processing module 205 is further configured to:
[0071] Determine the service priority corresponding to each constraint information;
[0072] Matching each constraint information with the second policy element in sequence based on the business priority from high to low, and determining a first number of constraint information matching the second policy element;
[0073] A matching result is determined according to the first quantity.
[0074] In some embodiments of the present disclosure, the processing module 205 is further configured to:
[0075] In the case where the first number is greater than or equal to the first number threshold, determining the matching result is: a match;
[0076] When the first number is less than the first number threshold, the matching result is determined to be: no match.
[0077] In some embodiments of the present disclosure, the policy description information includes: policy effective time and first policy channel information;
[0078] The first determining module 203 is further configured to:
[0079] When the policy time in the first policy element belongs to the strategy effective time, and the second policy channel information in the first policy element is the same as the first policy channel information, the initial policy will be divided into the policy group corresponding to the corresponding performance determination strategy.
[0080] In some embodiments of the present disclosure, the second determining module 204 is further configured to:
[0081] determining a custom policy element from a plurality of first policy elements corresponding to the policy group;
[0082] Each custom policy element is parsed separately to obtain the third policy element;
[0083] A second policy element corresponding to the policy group is determined based on the third policy element and the first policy element corresponding to the policy group.
[0084] In some embodiments of the present disclosure, the second determining module 204 is further configured to:
[0085] determining a second number of the same policy elements in the third policy element and the first policy element corresponding to the policy group;
[0086] When the second quantity is greater than or equal to the second quantity threshold, the first policy element and / or the third policy element corresponding to the second quantity are used as the second policy element.
[0087] It should be noted that the aforementioned explanation of the method for determining policy performance is also applicable to the device for determining policy performance of this embodiment and will not be repeated here.
[0088] In the disclosed embodiment, multiple different versions of performance determination strategies are obtained, wherein each version of the performance determination strategy has corresponding policy description information, and each performance determination strategy includes: multiple constraint information, multiple initial policies are obtained, wherein each initial policy has corresponding multiple first policy elements; the multiple initial policies are grouped according to the policy description information and the first policy elements to determine a policy group corresponding to each performance determination strategy; the second policy element corresponding to the policy group is determined; the second policy element and the multiple constraint information of each performance determination strategy are matched to obtain a matching result; when the matching result is a match, the policy performance information of each initial policy in the corresponding policy group is determined separately according to the performance determination strategy, thereby enabling batch matching between policy elements and performance determination strategies to be achieved in the post-performance evaluation link of the policy, thereby improving the efficiency of determining policy performance.
[0089] Figure 3 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown.
[0090] Figure 3 The electronic device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.
[0091] like Figure 3 As shown, the electronic device 12 is in the form of a general purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 that connects various system components (including the memory 28 and the processing unit 16).
[0092] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.
[0093] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.
[0094] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 3 Not shown, often called a "hard drive").
[0095] although Figure 3 Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.
[0096] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.
[0097] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable the human body to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the electronic device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
[0098] The processing unit 16 executes various functional applications and parameter information determination by running the program stored in the memory 28, such as implementing the business data storage method mentioned in the above embodiment, or implementing the business data acquisition method mentioned in the above embodiment.
[0099] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.
[0100] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.
[0101] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0102] A person of ordinary skill in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.
[0103] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0104] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.
[0105] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0106] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.
Claims
1. A method for determining policy performance, characterized in that: The method comprises: Acquire a plurality of different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding strategy description information, and each of the performance determination strategies includes: a plurality of constraint information; Acquire a plurality of initial insurance policies, wherein each of the initial insurance policies has a corresponding plurality of first insurance policy elements; Grouping the plurality of initial policies according to the strategy description information and the first policy element to determine a policy group corresponding to each performance determination strategy; determining a second policy element corresponding to the policy group; Performing matching processing on the second policy element and the plurality of constraint information of each performance determination strategy to obtain a matching result; When the matching result is a match, the policy performance information of each of the initial policies in the corresponding policy group is determined respectively according to the performance determination strategy.
2. The method according to claim 1, characterized in that The matching process of the second policy element and the plurality of constraint information of each performance determination strategy to obtain a matching result includes: Determining a service priority corresponding to each of the constraint information; Based on the order of the business priority from high to low, sequentially match each of the constraint information with the second policy element, and determine a first number of constraint information matching the second policy element; The matching result is determined according to the first number.
3. The method according to claim 2, characterized in that The determining the matching result according to the first quantity includes: In the case where the first number is greater than or equal to a first number threshold, determining that the matching result is: a match; When the first number is less than the first number threshold, the matching result is determined to be: no match.
4. The method according to claim 1, characterized in that The policy description information includes: policy effective time and first policy channel information; The step of grouping the plurality of initial policies according to the strategy description information and the first policy element to determine a policy group corresponding to each performance determination strategy includes: When the policy time in the first policy element belongs to the effective time of the strategy, and the second policy channel information in the first policy element is the same as the first policy channel information, the initial policy is divided into the policy group corresponding to the corresponding performance determination strategy.
5. The method according to claim 1, characterized in that The determining of the second insurance policy element corresponding to the insurance policy group includes: Determining a custom policy element from a plurality of first policy elements corresponding to the policy group; Parsing each of the user-defined insurance policy elements respectively to obtain a third insurance policy element; The second policy element corresponding to the policy group is determined based on the third policy element and the first policy element corresponding to the policy group.
6. The method according to claim 5, characterized in that The determining, according to the third policy element and the first policy element corresponding to the policy group, the second policy element corresponding to the policy group includes: Determine a second number of identical policy elements in the third policy element corresponding to the policy group and the first policy element; When the second quantity is greater than or equal to a second quantity threshold, the first policy element and / or the third policy element corresponding to the second quantity are used as the second policy element.
7. A device for determining policy performance, characterized in that: The device comprises: A first acquisition module is used to acquire a plurality of different versions of performance determination strategies, wherein each version of the performance determination strategy has corresponding strategy description information, and each of the performance determination strategies includes: a plurality of constraint information; A first acquisition module is used to acquire a plurality of initial insurance policies, wherein each of the initial insurance policies has a corresponding plurality of first insurance policy elements; A first determination module, configured to group the plurality of initial policies according to the policy description information and the first policy element, so as to determine a policy group corresponding to each performance determination strategy; A second determination module, used to determine a second policy element corresponding to the policy group; A processing module, used for matching the second policy element with the plurality of constraint information of each performance determination strategy to obtain a matching result; The third determination module is used to determine the policy performance information of each of the initial policies in the corresponding policy group according to the performance determination strategy when the matching result is a match.
8. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 6.
9. A computer-readable storage medium, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.