CN116433392A - Reinsurance measuring and calculating method, device and equipment - Google Patents
Reinsurance measuring and calculating method, device and equipment Download PDFInfo
- Publication number
- CN116433392A CN116433392A CN202310607976.4A CN202310607976A CN116433392A CN 116433392 A CN116433392 A CN 116433392A CN 202310607976 A CN202310607976 A CN 202310607976A CN 116433392 A CN116433392 A CN 116433392A
- Authority
- CN
- China
- Prior art keywords
- reinsurance
- configuration data
- calculating
- measuring
- operation parameters
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000004321 preservation Methods 0.000 claims description 56
- 238000012795 verification Methods 0.000 claims description 44
- 238000000605 extraction Methods 0.000 claims description 35
- 238000012549 training Methods 0.000 claims description 28
- 238000005259 measurement Methods 0.000 claims description 26
- 230000008569 process Effects 0.000 claims description 22
- 238000003860 storage Methods 0.000 claims description 18
- 238000012544 monitoring process Methods 0.000 claims description 15
- 238000000691 measurement method Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 description 37
- 238000012545 processing Methods 0.000 description 14
- 238000004519 manufacturing process Methods 0.000 description 12
- 238000009826 distribution Methods 0.000 description 7
- 238000013075 data extraction Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The application provides a reinsurance measuring and calculating method, device and equipment, and relates to the technical field of computers. The method comprises the steps of obtaining re-security configuration data from a re-security database; extracting target reprotection configuration data corresponding to a preset key index from reprotection configuration data; and according to the target reinsurance configuration data, adopting a preset reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to the preset key indexes. Therefore, the reinsurance measuring and calculating efficiency is improved, and the reinsurance measuring and calculating cost is reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a reinsurance measuring and calculating method, a reinsurance measuring and calculating device and reinsurance measuring and calculating equipment.
Background
With the rapid development of society, the business of insurance industry is gradually increasing. The reinsurance business volume is rapidly increased, the potential value of reinsurance data is deeply excavated, the decision support of the reinsurance scheme is provided, the method has higher value significance, and the integration processing capacity of mass data is improved.
In the prior art, data platform construction of various large companies in the insurance industry has been gradually carried out. However, for the re-protection business, one function or one requirement is adopted to perform one-time development in a production environment, verification is issued in each environment for multiple times, and the re-protection data backtracking needs to rely on manual operation, so that the full-automatic re-protection business cannot be performed.
The prior art has the following problems: and the data processing efficiency is low, and a large amount of manpower and material resources are consumed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a reinsurance measuring and calculating method, a reinsurance measuring and calculating device and reinsurance measuring and calculating equipment, so that the problems that reinsurance data processing efficiency is low, a large amount of manpower and material resources are consumed in the prior art are solved.
In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
in a first aspect, an embodiment of the present application provides a reinsurance measurement method, where the method includes:
acquiring reinsurance configuration data from a reinsurance database;
extracting target re-preservation configuration data corresponding to a preset key index from the re-preservation configuration data;
and according to the target reinsurance configuration data, adopting a preset reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to the preset key indexes.
Optionally, before the calculating is performed by adopting a preset reinsurance calculating model according to the target reinsurance configuration data to obtain the reinsurance operation parameters corresponding to the preset key indexes, the method further includes:
judging whether the target re-preservation configuration data is successfully extracted or not according to the buried point data of the target re-preservation configuration data;
and if the target re-protection configuration data is not successfully extracted, re-extracting the re-protection data from the re-protection configuration data until the target re-protection configuration data is successfully extracted.
Optionally, the method further comprises:
and recording the extraction judgment result of the target re-preservation configuration data, so as to monitor the extraction process of the target re-preservation configuration data.
Optionally, after the calculating is performed by adopting a preset reinsurance calculating model according to the target reinsurance configuration data to obtain the reinsurance operation parameters corresponding to the preset key indexes, the method further includes:
judging whether the re-preservation operation parameters are calculated successfully or not according to the buried point data of the re-preservation operation parameters;
and if the re-ensured operation parameters are not calculated successfully, calculating the re-ensured operation parameters again until the re-ensured operation parameters are calculated successfully.
Optionally, the method further comprises:
recording the measuring and calculating judgment result of the re-ensured operation parameters, and monitoring the measuring and calculating process of the re-ensured operation parameters.
Optionally, before the acquiring the reinsurance configuration data from the reinsurance database, the method further includes:
and updating the reinsurance database in real time according to the information of the new insurance product.
Optionally, the re-preservation measuring model is a model which is obtained by training in advance by adopting the following mode:
training reprotection configuration data corresponding to preset key indexes are extracted from the reprotection configuration data;
according to the training reinsurance configuration data, a preset initial reinsurance measuring and calculating model is adopted for measuring and calculating, and reinsurance operation parameters corresponding to the preset key indexes are obtained;
performing quality verification on the re-protection operation parameters by adopting a preset verification task;
and if the reinsurance operation parameters pass the quality verification, determining the initial reinsurance measuring and calculating model as the reinsurance measuring and calculating model.
Optionally, after the quality verification of the warranty operation parameter by using a preset verification task, the method further includes:
and if the re-protection operation parameters do not pass the quality verification, adjusting the initial re-protection measuring and calculating model, and adopting the adjusted re-protection measuring and calculating model to re-calculate the re-protection operation parameters until the re-protection operation parameters pass the quality verification.
In a second aspect, embodiments of the present application provide a reinsurance measurement device, the device comprising:
the acquisition module is used for acquiring the reinsurance configuration data from the reinsurance database;
the extraction module is used for extracting target reinsurance configuration data corresponding to a preset key index from the reinsurance configuration data;
the measuring and calculating module is used for measuring and calculating by adopting a preset reinsurance measuring and calculating model according to the target reinsurance configuration data, and obtaining reinsurance operation parameters corresponding to the preset key indexes.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor and a storage medium, wherein the processor is in communication connection with the storage medium through a bus, the storage medium stores program instructions executable by the processor, and the processor calls a program stored in the storage medium to execute the steps of the reinsurance measurement method according to any one of the first aspect.
Compared with the prior art, the application has the following beneficial effects:
the application provides a reinsurance measuring and calculating method, a reinsurance measuring and calculating device and reinsurance measuring and calculating equipment. The method comprises the steps of obtaining re-security configuration data from a re-security database; extracting target reprotection configuration data corresponding to a preset key index from reprotection configuration data; and according to the target reinsurance configuration data, adopting a preset reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to the preset key indexes. Therefore, the reinsurance measuring and calculating efficiency is improved, and the reinsurance measuring and calculating cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a reinsurance measurement method provided by the present application;
fig. 2 is a flow chart of a method for extracting and judging target reconfirm configuration data according to an embodiment of the present application;
fig. 3 is a flow chart of a method for determining measurement and calculation of a reconfirm operation parameter according to an embodiment of the present application;
FIG. 4 is a flowchart of a training method of a reconfigures calculation model according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a reinsurance measurement device according to an embodiment of the present application;
fig. 6 is a schematic diagram of an electronic device according to an embodiment of the present application.
Icon: 501-acquisition module, 502-extraction module, 503-measurement module, 601-processor, 602-storage medium.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Furthermore, the terms "first," "second," and the like, if any, are used merely for distinguishing between descriptions and not for indicating or implying a relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
Reinsurance is also known as "partial insurance". Based on the original insurance contract, the insurer performs insurance actions on other insurers through signing an insurance contract and carrying out partial risks and responsibilities of the insurance contract. The basis of reinsurance is original insurance, and the generation of reinsurance is based on the need of scattered risks in the operation of original insurers. In the reinsurance transaction, the business-separating company is called an original insurer or a business-separating company, and the business-receiving company is called a reinsurer or a business-separating recipient or a business-separating company. The reinsurance transfers the premium paid by the risk responsibility to pay the premium or reinsurance; the original insurer pays a certain fee in the process of soliciting business, and the fee paid to the original insurer by the reinsurer is called as sub-insurance commission or sub-insurance commission. Therefore, the operation data of the reinsurance can be calculated based on the basic information of the reinsurance. However, in the actual reinsurance business, the information such as original policy information, reinsurance information, applicant, reinsurance person and the like is involved in the measuring and calculating process, the calculation is complicated, the reinsurance information needs to be traced back manually, and the efficiency is low.
In order to improve the data processing efficiency of the reconfirm, reduce the calculation cost of the reconfirm. The application provides a reinsurance measuring and calculating method, a reinsurance measuring and calculating device and reinsurance measuring and calculating equipment.
A reinsurance measurement method provided in the present application is explained by specific examples as follows. Fig. 1 is a flow chart of a reinsurance measurement method provided in the present application. The execution main body of the method is electronic equipment, and the electronic equipment can be equipment with a calculation processing function, a desktop computer and a notebook computer. As shown in fig. 1, the method includes:
s101, acquiring the reinsurance configuration data from the reinsurance database.
In the reinsurance production environment, all reinsurance data forms a reinsurance database. In the process of re-preservation measurement, re-preservation configuration data needs to be acquired from a re-preservation database to ensure that the data acquisition covers all re-preservation services in the production environment.
Wherein the reconfigurated configuration data of each policy includes: product information attribute, reinsurance liability, reinsurance contract, reinsurance company, reinsurance rate algorithm, reinsurance scheme. The product information attribute characterizes the type of the reinsurance product; the reinsurance liability characterizes the civil damage reimbursement liability of the insured person and the sub-insurance scheme; the reconveying contract represents information such as insured persons, insurance applicant, substantial content of the contract and the like; the rate-keeping algorithm characterizes the calculation mode used by the rate-keeping; the reinsurance scheme characterizes reinsurance implementation rules. From the above, each item of the re-protection configuration data affects the re-protection measurement result. It should be noted that the type of the reinsurance configuration data may be set according to actual requirements, and is not limited to the product information attribute, the reinsurance responsibility, the reinsurance contract, the reinsurance company, the reinsurance rate algorithm, and the reinsurance scheme. The following embodiments will include with the reconfigurated configuration data: the reinsurance measuring and calculating method is explained by taking product information attribute, reinsurance responsibility, reinsurance contract, reinsurance company, reinsurance rate algorithm and reinsurance scheme as examples.
Illustratively, the obtained reconfigurated data may be saved in the form of an HBASE (distributed open source database) table.
S102, extracting target reinsurance configuration data corresponding to a preset key index from the reinsurance configuration data.
The preset key indexes are indexes preset by a user, the preset key indexes represent the re-preservation measuring and calculating requirements of the user, and the key indexes comprise at least one of the following: start page, start date, risk code, policy number, group policy number. The key index also comprises a data type, wherein the data type refers to the type of insurance, such as group insurance, life insurance and health insurance. The user can obtain the target warranty meeting the user re-preservation measuring and calculating requirement in the database by setting the preset key index, and the target re-preservation configuration data corresponding to the target warranty is extracted from the re-preservation configuration data.
For example, before extracting the target reconfigurated data, a selection interface of the key index may be displayed on a visual interface of the electronic device, and the user selects the key index on the visual interface. And generating a preset key index according to the selection instruction of the user. Therefore, the data is not required to be manually traced and inquired again, the data processing efficiency is improved and the data processing cost is reduced in a database inquiry mode.
For example, a specific implementation manner of extracting the target reconfigurated data may be: and configuring a library table field required to be used, setting a ogg for bigdata push message value kafka, acquiring the re-security configuration data through an Oracle database system, and transmitting the re-security configuration data to a target database (e.g. an HBase table) to form target re-security configuration data. And establishing an external mapping table of the target database in hive, and presenting the target reconfigurated data in the form of an extraction result table. One policy corresponds to one extraction result table, and one extraction result table contains all types of target reconfigurated data of the policy. Further, a Spark program is developed, and data extraction work is performed by using Spark core+spark SQL, so that data processing capacity is improved.
And S103, calculating by adopting a preset reinsurance calculation model according to the target reinsurance configuration data, and obtaining reinsurance operation parameters corresponding to preset key indexes.
Wherein, the reconfirm operation parameters include: dispensing proportion, dispensing commission, net dispensing premium, hair premium, etc. It should be noted that the types of the reconfirm operation parameters may be set according to actual requirements, and are not limited to the above-mentioned dispensing proportion, the dispensing commission, the net dispensing premium, and the gross dispensing premium. The following embodiments will include with the reconfirm operating parameters: the reinsurance measuring and calculating method is explained by taking the out proportion, the insured commission, the net out premium and the gross premium as examples.
The target reconfigurations data includes: product information attributes, reinsurance liability, reinsurance contracts, reinsurance companies, reinsurance rate algorithms, reinsurance schemes, and the like. Specifically, the target reconfigurated data includes: insured, applicant, sub-insurance scheme in reinsurance liability, reinsurance scheme in reinsurance scheme, etc. The re-insurance operation parameters such as the distribution proportion, the distribution commission, the net distribution premium and the gross distribution premium can be calculated by integrating the data such as the product information attribute, the re-insurance contract, the re-insurance company, the re-insurance rate algorithm, the insured person, the insurance applicant, the sub-insurance scheme in the re-insurance responsibility, the re-insurance mode in the re-insurance scheme and the like. Any one of the data such as product information attribute, reinsurance contract, reinsurance company, reinsurance rate algorithm, insured, applicant, reinsurance scheme in reinsurance responsibility, reinsurance mode in reinsurance scheme changes, and the like can influence the measurement and calculation of reinsurance operation parameters.
And a specific measuring mode is designed in the preset re-preservation measuring model. The data such as product information attribute, reinsurance contract, reinsurance company, reinsurance rate algorithm, insured person, insurance applicant, reinsurance scheme in reinsurance responsibility, reinsurance mode in reinsurance scheme and the like are directly input into a preset reinsurance measuring and calculating model, and reinsurance operation parameters such as the share out proportion, the share out commission, the net share out premium, the gross share premium and the like can be obtained.
And adding the calculated reinsurance operation parameters into the extraction result table to form a corresponding extraction result table of a policy, wherein the extraction result table comprises all types of target reinsurance configuration data of the policy and all types of reinsurance operation parameters.
The calculation is performed by adopting the preset reinsurance calculation model, the construction of a calculation mode is not needed in each calculation, the manual calculation is not needed, the reinserved calculation efficiency is improved, and the reinserved calculation cost is reduced.
To sum up, in the present embodiment, the reinsurance configuration data is obtained from the reinsurance database; extracting target reprotection configuration data corresponding to a preset key index from reprotection configuration data; and according to the target reinsurance configuration data, adopting a preset reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to the preset key indexes. Therefore, the reinsurance measuring and calculating efficiency is improved, and the reinsurance measuring and calculating cost is reduced.
On the basis of the embodiment corresponding to fig. 1, the embodiment of the application further provides a method for extracting and judging the target reconfirm configuration data. Fig. 2 is a flow chart of a method for extracting and judging target reconfigurated configuration data according to an embodiment of the present application. As shown in fig. 2, before calculating according to the target reinsurance configuration data and using a preset reinsurance calculation model to obtain reinsurance operation parameters corresponding to the preset key indexes in S103, the method further includes:
s201, judging whether the target re-preservation configuration data is successfully extracted or not according to the buried data of the target re-preservation configuration data.
In order to ensure that each type of data in the target reconfigurated data is successfully extracted, the situation that the data is missing is avoided, and the subsequent measuring and calculating steps cannot be performed. And monitoring the extraction process of the target reconfigurated data.
Specifically, the reinsurance configuration data may be buried. And judging whether the extraction of the target re-preservation configuration data is successful or not by detecting the buried data of the target re-preservation configuration data. The buried point refers to a related technology for capturing, processing and transmitting specific actions or events and an implementation process thereof. Such as the number of extractions of a certain data, etc. The embedded point processing is to monitor events in the running process of the software application, and judge and capture the events when the events needing to be concerned occur. In the present application, the specific buried point method is not limited.
For example, after extraction, if the target reinsurance configuration data of a policy only includes product information attribute, reinsurance liability, reinsurance contract, reinsurance company, reinsurance rate algorithm, and does not include reinsurance scheme, then the extraction is considered as unsuccessful; if the target reinsurance configuration data of one policy comprises product information attribute, reinsurance responsibility, reinsurance contract, reinsurance company, reinsurance rate algorithm and reinsurance scheme, namely comprises all types of reinsurance configuration data, the extraction is considered to be successful. The above-described determination process can be obtained by detecting buried point data of each of the reconfigurated data.
S202, if the target re-preservation configuration data is not successfully extracted, re-extracting the re-preservation data from the re-preservation configuration data until the target re-preservation configuration data is successfully extracted.
If the target re-maintenance configuration data is not successfully extracted, the situation of data missing occurs, and the subsequent measuring and calculating steps cannot be performed. Therefore, step S102 is performed again, and the re-security data is extracted from the re-security configuration data until the target re-security configuration data is successfully extracted. Therefore, the completeness of data is ensured, and the measuring and calculating precision is improved.
To sum up, in this embodiment, whether the extraction of the target re-holding configuration data is successful is determined according to the buried data of the target re-holding configuration data; and if the target re-preservation configuration data is not successfully extracted, re-extracting the re-preservation data from the re-preservation configuration data until the target re-preservation configuration data is successfully extracted. Therefore, the completeness of data is ensured, and the measuring and calculating precision is improved.
On the basis of the embodiment corresponding to fig. 2, the embodiment of the application further includes:
recording the extraction judgment result of the target re-preservation configuration data for monitoring the extraction process of the target re-preservation configuration data.
Recording the extraction quantity, the extraction policy quantity, the extracted data type, the starting time and the ending time of the target re-configuration data, and recording information such as whether the extraction of the data type is successful or not, the quantity of success and failure and the like. And generating a monitoring log from the recorded information, so that a user can conveniently monitor the target and save the configuration data extraction process.
To sum up, in the present embodiment, the extraction determination result of the target re-holding configuration data is recorded for use in the monitoring target re-holding configuration data extraction process. Therefore, a monitoring log is generated, and the user can conveniently monitor the target re-maintenance configuration data extraction process.
On the basis of the embodiment corresponding to fig. 1, the embodiment of the application also provides a method for measuring, calculating and judging the reconfirm operation parameters. Fig. 3 is a flow chart of a method for determining measurement and calculation of a reconfirm operation parameter according to an embodiment of the present application. As shown in fig. 3, in S103, according to the target reinsurance configuration data, a preset reinsurance measurement model is adopted to perform measurement, and after obtaining reinsurance operation parameters corresponding to the preset key indexes, the method further includes:
s301, judging whether the re-protection operation parameters are calculated successfully or not according to the buried data of the re-protection operation parameters.
In order to ensure that each type of data in the operation parameters is successfully extracted, the situation that the measured result is incomplete due to the fact that the data is missing is avoided. And monitoring the measuring and calculating process of the reconfirm operation parameters.
Specifically, the reinsurance operation parameters may be buried. And judging whether the re-protection operation parameters are calculated successfully or not by detecting buried point data of the re-protection operation parameters. In the present application, the specific buried point method is not limited.
For example, after measurement, if the re-insurance operation parameters of a policy only include the proportion of the equity, the commission of equity, the net equity and the fee of Mao Fenbao, then the measurement is considered to be unsuccessful; and if the warranty re-insurance operation parameters of one warranty comprise the distribution proportion, the distribution commission, the net distribution premium and the Mao Fenbao fee, namely all types of re-insurance operation parameters are included, the measurement is considered to be successful. The above-mentioned judging process can be obtained by detecting the buried point data of each re-protecting operation parameter.
S302, if the re-ensured operation parameter is not calculated successfully, the re-ensured operation parameter is calculated again until the re-ensured operation parameter is calculated successfully.
If the operation parameters are not successfully calculated, the situation of missing calculation results occurs, and the situation of incomplete calculation results is caused. Therefore, step S103 is performed again, and the reinsurance operation parameter is calculated until the reinsurance operation parameter is calculated successfully. Therefore, the completeness of data is ensured, and the measuring and calculating precision is improved.
To sum up, in this embodiment, whether the re-protection operation parameter is calculated successfully is determined according to the buried data of the re-protection operation parameter; and if the re-ensured operation parameters are not calculated successfully, re-calculating the re-ensured operation parameters until the re-ensured operation parameters are calculated successfully. Therefore, the completeness of data is ensured, and the measuring and calculating precision is improved.
On the basis of the embodiment corresponding to fig. 3, the embodiment of the application further includes:
recording the measuring and calculating judgment result of the re-protecting operation parameters for monitoring the measuring and calculating process of the re-protecting operation parameters.
Recording the calculated number, calculated policy number, calculated data type, starting time and ending time of the re-ensured operation parameters, and recording information such as whether the data type is calculated successfully or not, the number of success and failure and the like. And the recorded information is generated into a monitoring log which is convenient for monitoring the re-protection operation parameter measuring and calculating process.
To sum up, in this embodiment, the measurement and calculation determination result of the re-ensured operation parameter is recorded for monitoring the re-ensured operation parameter measurement process. Therefore, a monitoring log is generated, and the monitoring log is convenient for monitoring the re-protection operation parameter measuring and calculating process.
On the basis of the embodiment corresponding to fig. 1, before acquiring the reinsurance configuration data from the reinsurance database in S101, the embodiment of the present application further includes:
and updating the reinsurance database in real time according to the information of the new insurance product.
For example, before each reinsurance measurement, the information of the new insurance product may be synchronized, and the information of the new insurance product may be saved to the reinsurance database, so as to update the reinsurance database in real time, so that the data volume in the reinsurance database is more complete. The information of the new insurance product refers to the reinsurance configuration data of the new insurance product.
To sum up, in this embodiment, the reinsurance database is updated in real time according to the information of the new insurance product. Therefore, the data volume in the reinsurance database is more complete.
On the basis of the embodiment corresponding to fig. 1, the embodiment of the application also provides a training method of the re-preservation measuring and calculating model. Fig. 4 is a flowchart of a training method of a reconfigures calculation model according to an embodiment of the present application. As shown in fig. 4, the re-preservation calculation model is a model which is trained in advance by adopting the following manner:
s401, training reprotection configuration data corresponding to preset key indexes are extracted from the reprotection configuration data.
When the re-preservation measuring and calculating model is trained, re-preservation configuration data are also required to be obtained from the re-preservation database, and then training re-preservation configuration data corresponding to preset key indexes are extracted from the re-preservation configuration data. Training the reconfirm configuration data for training the reconfirm calculation model.
The extraction process during model training is similar to the extraction process of the actual measurement and calculation, and is not repeated here.
After the extraction of the training re-preservation configuration data is completed, whether the extraction of the target re-preservation configuration data is successful or not needs to be judged, and the extraction judgment result is recorded. Similar to the above-mentioned determination processing manner of actual measurement and calculation, the details are not repeated here.
S402, according to training reinsurance configuration data, adopting a preset initial reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to preset key indexes.
The preset initial reinsurance measuring and calculating model is a reinsurance data measuring and calculating mode which is designed for the first time by a user according to actual measuring and calculating requirements. And inputting the training reinsurance configuration data into the initial reinsurance measurement model to obtain reinsurance operation parameters corresponding to the preset key indexes.
After the re-ensured operation parameters are obtained through measurement, whether the re-ensured operation parameters are successfully measured or not needs to be judged, and the measurement judgment result is recorded. Similar to the above-mentioned determination processing manner of actual measurement and calculation, the details are not repeated here.
S403, adopting a preset verification task to carry out quality verification on the reinsurance operation parameters.
And in order to check the measuring and calculating precision of the reinsurance measuring and calculating model, a preset checking task is adopted to carry out quality checking on reinsurance operation parameters.
Specifically, the preset verification task may be to randomly select the reinsurance configuration data of several policies in the training reinsurance configuration data as verification reinsurance configuration data, manually calculate the corresponding verification reinsurance operation parameters, and default manually calculated reinsurance operation parameters to be correct data. And comparing the re-ensured operation parameters obtained by measuring and calculating the verification re-ensured configuration data by adopting a preset initial re-ensured measuring and calculating model with the verification re-ensured operation parameters. And if the matching degree of the re-insurance operation parameters calculated by the model and the verification re-insurance operation parameters is greater than or equal to the preset matching degree, the re-insurance operation parameters are considered to pass the quality verification. And if the matching degree of the re-insurance operation parameters calculated by the model and the verification re-insurance operation parameters is smaller than the preset matching degree, the re-insurance operation parameters are considered to not pass the quality verification.
And S404, if the reinsurance operation parameters pass the quality verification, determining the initial reinsurance measuring and calculating model as a reinsurance measuring and calculating model.
If the reinsurance operation parameters pass the quality verification, the calculation accuracy of the reinsurance calculation model is indicated to meet the calculation requirement of the user, and the initial reinsurance calculation model passing the quality verification can be directly determined as the reinsurance calculation model.
The accurate reinsurance measuring and calculating model is obtained through training, and an implementation program corresponding to the reinsurance measuring and calculating model obtained through training can be synchronized to the reinsurance production environment so as to be used for reinsurance measuring and calculating in the reinsurance production environment. The training environment used for training the model and the reinsurance production environment are parallel operation environments, the training of the model does not affect the operation of the reinsurance production environment, and a user can debug a program corresponding to the model in the training environment and synchronize the debugged program into the reinsurance production environment. The operation of the reinsurance production environment is not needed, and the risk that errors are generated due to the direct operation of the reinsurance production environment or the configuration process result is directly sent out and pushed is avoided.
To sum up, in this embodiment, training reprovisioning configuration data corresponding to a preset key index is extracted from reprovisioning configuration data; according to the training reinsurance configuration data, a preset initial reinsurance measuring and calculating model is adopted for measuring and calculating, and reinsurance operation parameters corresponding to preset key indexes are obtained; performing quality verification on the reconfirm operation parameters by adopting a preset verification task; and if the reinsurance operation parameters pass the quality verification, determining the initial reinsurance measuring and calculating model as a reinsurance measuring and calculating model. Therefore, an accurate reinsurance measuring and calculating model is obtained through verification, operation on a reinsurance production environment is not needed, and the risk that errors are generated due to direct operation on the reinsurance production environment or a configuration process result is directly sent out and pushed is avoided.
On the basis of the embodiment corresponding to fig. 4, after performing quality verification on the reconfirm operation parameter by using a preset verification task in S403, the embodiment of the present application further includes:
if the reinsurance operation parameters do not pass the quality verification, the initial reinsurance measuring and calculating model is adjusted, and the reinsurance operation parameters are measured and calculated again by adopting the adjusted reinsurance measuring and calculating model until the reinsurance operation parameters pass the quality verification.
If the re-preservation operation parameters do not pass the quality verification, the calculation accuracy of the re-preservation calculation model is not satisfied with the calculation requirements of the user, and the user is required to adjust the calculation mode of the initial re-preservation calculation model. And re-calculating the re-guarantee operation parameters by adopting the adjusted re-guarantee calculation model until the re-guarantee operation parameters pass the quality verification. And determining the reinsurance measuring and calculating model passing the quality verification as a reinsurance measuring and calculating model.
To sum up, in this embodiment, if the reinsurance operation parameter fails the quality verification, the initial reinsurance measurement model is adjusted, and the reinsurance operation parameter is reevaluated by adopting the adjusted reinsurance measurement model until the reinsurance operation parameter passes the quality verification. Therefore, the accurate reinsurance measuring and calculating model can be obtained through multiple training and verification.
The following describes a reinsurance measuring and calculating device, a storage medium, and the like provided in the present application for execution, and specific implementation processes and technical effects thereof are referred to above, and are not described in detail below.
Fig. 5 is a schematic diagram of a reinsurance measurement device according to an embodiment of the present application, as shown in fig. 5, where the device includes:
an obtaining module 501 is configured to obtain the reinsurance configuration data from the reinsurance database.
The extracting module 502 is configured to extract target reprotect configuration data corresponding to the preset key indicator from the reprotect configuration data.
The calculating module 503 is configured to calculate, according to the target reinsurance configuration data, by using a preset reinsurance calculating model, to obtain reinsurance operation parameters corresponding to the preset key indexes.
Further, the extraction module 502 is further configured to determine whether the extraction of the target warranty configuration data is successful according to the buried point data of the target warranty configuration data; and if the target re-preservation configuration data is not successfully extracted, re-extracting the re-preservation data from the re-preservation configuration data until the target re-preservation configuration data is successfully extracted.
Further, the extraction module 502 is further configured to record an extraction determination result of the target warranty configuration data, so as to monitor a target warranty configuration data extraction process.
Further, the calculating module 503 is further configured to determine whether the re-protecting operation parameter is calculated successfully according to the buried data of the re-protecting operation parameter; and if the re-ensured operation parameters are not calculated successfully, re-calculating the re-ensured operation parameters until the re-ensured operation parameters are calculated successfully.
Further, the calculating module 503 is further configured to record a calculating judgment result of the warranty operation parameter, so as to monitor a calculating process of the warranty operation parameter.
Further, the obtaining module 501 is further configured to update the reinsurance database in real time according to the information of the new insurance product.
Further, the calculating module 503 is further configured to further save the calculating model to be a model that is trained in advance by: training reprotection configuration data corresponding to preset key indexes are extracted from the reprotection configuration data; according to the training reinsurance configuration data, a preset initial reinsurance measuring and calculating model is adopted for measuring and calculating, and reinsurance operation parameters corresponding to preset key indexes are obtained; performing quality verification on the reconfirm operation parameters by adopting a preset verification task; and if the reinsurance operation parameters pass the quality verification, determining the initial reinsurance measuring and calculating model as a reinsurance measuring and calculating model.
Further, the calculating module 503 is further configured to adjust the initial reinsurance calculating model if the reinsurance operation parameter fails the quality check, and adopting the adjusted reinsurance calculating model to calculate the reinsurance operation parameter again until the reinsurance operation parameter passes the quality check.
Fig. 6 is a schematic diagram of an electronic device provided in an embodiment of the present application, where the electronic device may be a device with a computing processing function.
The electronic device includes: a processor 601, and a storage medium 602. The processor 601 and the storage medium 602 are connected by a bus.
The storage medium 602 is used to store a program, and the processor 601 calls the program stored in the storage medium 602 to execute the above-described method embodiment. The specific implementation manner and the technical effect are similar, and are not repeated here.
Optionally, the present invention further provides a storage medium comprising a program, which when executed by a processor is adapted to carry out the above-described method embodiments. In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
Claims (10)
1. A reinsurance measurement method, the method comprising:
acquiring reinsurance configuration data from a reinsurance database;
extracting target re-preservation configuration data corresponding to a preset key index from the re-preservation configuration data;
and according to the target reinsurance configuration data, adopting a preset reinsurance measuring and calculating model to measure and calculate, and obtaining reinsurance operation parameters corresponding to the preset key indexes.
2. The method according to claim 1, wherein before the calculating is performed by using a preset reinsurance calculating model according to the target reinsurance configuration data, and obtaining the reinsurance operation parameters corresponding to the preset key indexes, the method further includes:
judging whether the target re-preservation configuration data is successfully extracted or not according to the buried point data of the target re-preservation configuration data;
and if the target re-protection configuration data is not successfully extracted, re-extracting the re-protection data from the re-protection configuration data until the target re-protection configuration data is successfully extracted.
3. The method according to claim 2, wherein the method further comprises:
and recording the extraction judgment result of the target re-preservation configuration data, so as to monitor the extraction process of the target re-preservation configuration data.
4. The method according to claim 1, wherein after the calculating is performed by using a preset reinsurance calculating model according to the target reinsurance configuration data, the method further includes:
judging whether the re-preservation operation parameters are calculated successfully or not according to the buried point data of the re-preservation operation parameters;
and if the re-ensured operation parameters are not calculated successfully, calculating the re-ensured operation parameters again until the re-ensured operation parameters are calculated successfully.
5. The method according to claim 4, wherein the method further comprises:
recording the measuring and calculating judgment result of the re-ensured operation parameters, and monitoring the measuring and calculating process of the re-ensured operation parameters.
6. The method of claim 1, wherein prior to the obtaining the reinsurance configuration data from the reinsurance database, the method further comprises:
and updating the reinsurance database in real time according to the information of the new insurance product.
7. The method of claim 1, wherein the re-conservation measurement model is a model that has been trained in advance by:
training reprotection configuration data corresponding to preset key indexes are extracted from the reprotection configuration data;
according to the training reinsurance configuration data, a preset initial reinsurance measuring and calculating model is adopted for measuring and calculating, and reinsurance operation parameters corresponding to the preset key indexes are obtained;
performing quality verification on the re-protection operation parameters by adopting a preset verification task;
and if the reinsurance operation parameters pass the quality verification, determining the initial reinsurance measuring and calculating model as the reinsurance measuring and calculating model.
8. The method of claim 7, wherein after said quality checking of said warranty operating parameters using a preset checking task, said method further comprises:
and if the re-protection operation parameters do not pass the quality verification, adjusting the initial re-protection measuring and calculating model, and adopting the adjusted re-protection measuring and calculating model to re-calculate the re-protection operation parameters until the re-protection operation parameters pass the quality verification.
9. A reinsurance metering device, the device comprising:
the acquisition module is used for acquiring the reinsurance configuration data from the reinsurance database;
the extraction module is used for extracting target reinsurance configuration data corresponding to a preset key index from the reinsurance configuration data;
the measuring and calculating module is used for measuring and calculating by adopting a preset reinsurance measuring and calculating model according to the target reinsurance configuration data, and obtaining reinsurance operation parameters corresponding to the preset key indexes.
10. An electronic device, comprising: the system comprises a processor and a storage medium, wherein the processor is in communication connection with the storage medium through a bus, the storage medium stores program instructions executable by the processor, and the processor calls a program stored in the storage medium to execute the steps of the reinsurance measurement method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310607976.4A CN116433392A (en) | 2023-05-26 | 2023-05-26 | Reinsurance measuring and calculating method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310607976.4A CN116433392A (en) | 2023-05-26 | 2023-05-26 | Reinsurance measuring and calculating method, device and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116433392A true CN116433392A (en) | 2023-07-14 |
Family
ID=87087522
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310607976.4A Pending CN116433392A (en) | 2023-05-26 | 2023-05-26 | Reinsurance measuring and calculating method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116433392A (en) |
-
2023
- 2023-05-26 CN CN202310607976.4A patent/CN116433392A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8359580B2 (en) | System and method for tracking testing of software modification projects | |
| US20140006044A1 (en) | System and method for preparing healthcare service bundles | |
| CN109597805A (en) | A kind of data processing method, electronic equipment and storage medium | |
| US10062122B2 (en) | Audit performance evaluation | |
| CN110472895B (en) | Financial system wind control method and device, computer equipment and storage medium | |
| CN110728422A (en) | Building information model, method, device and settlement system for construction project | |
| CN108038667B (en) | Policy generation method, device and equipment | |
| CN111242779B (en) | Financial data characteristic selection and prediction method, device, equipment and storage medium | |
| CN111127223B (en) | Insurance product testing method, insurance product testing device and storage medium | |
| CN116433392A (en) | Reinsurance measuring and calculating method, device and equipment | |
| CN114995728A (en) | Rule configuration method and device, electronic equipment and storage medium | |
| CN115203300A (en) | Data verification method and device | |
| JP2019096034A (en) | Device and method for evaluating business value | |
| US20210304265A1 (en) | Estimate accuracy scoring model | |
| CN114004542A (en) | Enterprise task management method, system, computer equipment and storage medium | |
| CN112613945A (en) | Method, device, equipment and storage medium for determining lease plan | |
| CN114327377B (en) | Method and device for generating demand tracking matrix, computer equipment and storage medium | |
| CN118427108B (en) | Operating skill testing method and system for SaaS software | |
| JP2020009168A (en) | Quality evaluation apparatus and quality evaluation method | |
| CN115439033A (en) | Risk user screening method and device based on social security data and computing equipment | |
| CN114003494A (en) | Automatic test method and device for data model and electronic equipment | |
| CN114331653A (en) | Processing method and device for to-and-fro ledger data | |
| CN113409006A (en) | Method and device for calculating working hours in nuclear power overhaul and terminal | |
| CN112598422A (en) | Transaction risk assessment method, system, device and storage medium | |
| CN115147088A (en) | Service management method, device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |