CN117057935A - Data processing method, device, equipment and storage medium based on field design - Google Patents

Data processing method, device, equipment and storage medium based on field design Download PDF

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CN117057935A
CN117057935A CN202311075753.4A CN202311075753A CN117057935A CN 117057935 A CN117057935 A CN 117057935A CN 202311075753 A CN202311075753 A CN 202311075753A CN 117057935 A CN117057935 A CN 117057935A
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贾云林
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Ping An Health Insurance Company of China Ltd
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Ping An Health Insurance Company of China Ltd
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Abstract

The embodiment of the application belongs to the technical fields of artificial intelligence and digital medical treatment, and relates to a data processing method, a device, equipment and a storage medium thereof based on field design, which are applied to the medical premium calculation process in a comprehensive medical insurance system, and the method comprises the steps of obtaining modeling factors by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and calling a corresponding calculation formula in the business calculation service model to carry out business calculation, and obtaining a final calculation result. And the method and the system consider that all calculation services in the comprehensive medical insurance system are aggregated and tidied and integrated into a business calculation service model for premium calculation, and different calculation sub-services are configured in the premium calculation service model, so that when the system is used, the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes, the premium calculation efficiency is further improved, and the maintainability of the system is improved.

Description

Data processing method, device, equipment and storage medium based on field design
Technical Field
The application relates to the technical field of artificial intelligence and digital medical treatment, which is applied to the medical premium calculation process in a comprehensive medical insurance system, in particular to a data processing method, a data processing device, data processing equipment and a storage medium based on field design.
Background
Along with the development of the computer industry, the traditional medical industry gradually changes to digital medical treatment, particularly in a cross-platform medical application system, along with the wider medical service range and coverage range of medical institutions, the corresponding medical insurance service is processed more and more, the traditional medical premium calculation mode is a chimney type development thinking mode, the factor value of the related insurance factor is queried by adopting a running water type development logic, and the premium is calculated in an exhaustion mode or a code writing and death mode, but the premium can be calculated, the iterative change of the requirements of products along with the service development can cause extremely complex internal logic, the higher and higher maintenance cost, the service precipitation loss and the adverse effect on the service precipitation.
With the development of the digital medical industry, the traditional medical premium calculation mode cannot meet the requirement of a comprehensive medical insurance system with high data volume, so that the calculation cost is easily increased, the premium calculation efficiency is reduced, and meanwhile, the maintenance of the system is also not facilitated.
Disclosure of Invention
The embodiment of the application aims to provide a data processing method, device, equipment and storage medium based on field design, so as to solve the problems that the calculation cost is easy to increase and the premium calculation efficiency is easy to reduce and the system maintenance is not facilitated when premium calculation is carried out in the prior art.
In order to solve the technical problems, the embodiment of the application provides a data processing method based on field design, which adopts the following technical scheme:
a data processing method based on domain design comprises the following steps:
obtaining a modeling factor by carrying out business process analysis on a target business system, wherein the modeling factor comprises a business scene name, a calculation service item name and processing logic contained in each calculation service item contained in the target business system;
drawing a domain model diagram based on a preset drawing tool and the modeling factors;
constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram;
acquiring model parameter entering data to be subjected to service calculation through a preset calculation data acquisition engine, wherein the model parameter entering data comprises service scene names to be subjected to service calculation, calculation service item names and service characterization data participating in specific calculation;
The model entry parameter data to be subjected to business calculation is sent to the business calculation service model, and classification and identification are carried out on the model entry parameter data according to a preset identification mode, so that a target identification result is obtained;
and calling a corresponding calculation formula in the business calculation service model to carry out business calculation according to the target identification result, and obtaining a final calculation result.
Further, the step of obtaining the modeling factor by performing service flow analysis on the target service system specifically includes:
acquiring a service scene name contained in the target service system by carrying out service flow analysis on the target service system;
performing service program analysis according to each service scene name to obtain a calculation service item corresponding to each service scene;
processing logic analysis is carried out on each computing service item, and processing logic contained in each computing service item is obtained;
and taking the service scene names, the computing service item names and the processing logic contained in each computing service item in each service scene contained in the target service system as the modeling factors.
Further, the step of drawing the domain model diagram based on the preset drawing tool and the modeling factor specifically includes:
Determining the mapping relation between each business scene and each calculation service item according to the calculation service item corresponding to each business scene, wherein the business scenes comprise a security service, a underwriting service and a claim settlement service;
according to processing logic contained in each calculation service item in each business scene, determining a calculation step contained in each calculation service item in each business scene, a calculation formula corresponding to the calculation step and a calculation factor corresponding to the calculation formula, wherein the type of the calculation formula comprises a mathematical function type calculation formula and a mathematical expression type calculation formula;
and drawing the domain model graph by adopting a preset drawing tool according to the calculation steps contained in each calculation service item in each business scene, the calculation formulas corresponding to the calculation steps and the calculation factors corresponding to the calculation formulas, wherein the preset drawing tool is a UML graph drawing tool.
Further, the step of constructing an initialized business computing service model according to the preset initialization configuration file and the domain model diagram specifically includes:
generating a pre-constructed business computing service model according to the field model diagram and the modeling factors;
Deploying the pre-built business computing service model to a domain service layer of a preset computing engine center, and configuring computing sub-services respectively corresponding to each computing service item in each business scene according to computing steps contained in each computing service item in each business scene, a computing formula corresponding to each computing step and a computing factor corresponding to each computing formula, wherein the computing engine center comprises a data access layer, an application service layer, a domain service layer and an infrastructure layer;
starting an initialization program, completing initialization configuration of the pre-constructed business computing service model according to the initialization configuration file, and obtaining an initialized business computing service model;
before executing the step of acquiring the model entry data to be subjected to service calculation through the preset calculation data acquisition engine, the method further comprises the following steps:
and setting the computing data acquisition engine at a data access layer of the computing engine center.
Further, the target recognition result includes calculation service screening data and calculation parameter entering data, the model parameter entering data to be subjected to service calculation is sent into the service calculation service model, classification recognition is performed on the model parameter entering data according to a preset recognition mode, and the step of obtaining the target recognition result specifically includes:
Receiving the model parameter entering data to be subjected to service calculation, which is sent to the service calculation service model;
splitting the model entry parameter data according to a preset data splitting template to obtain a service scene name, a calculation service item name and service characterization data participating in specific calculation, wherein the service scene name and the calculation service item name are to be subjected to service calculation;
and taking the service scene name and the computing service item name to be subjected to service computing as computing service screening data, and taking the service characterization data participating in specific computing as computing parameter entering data.
Further, the step of calling a corresponding calculation formula in the business calculation service model to perform business calculation according to the target identification result to obtain a final calculation result specifically includes:
screening out target computing sub-services corresponding to the service scene names to be subjected to service computation under the computing service item names according to the computing service screening data;
inputting the calculated parameter data into the target calculation sub-service, and acquiring a calculation result corresponding to each calculation step according to the calculation step in the target calculation sub-service and a calculation formula corresponding to each calculation step;
Judging whether an executable calculation step exists after the current calculation step;
if the executable calculation step is still available after the current calculation step, taking the calculation result corresponding to the current calculation step as the parameter value of the next calculation step, and continuously executing the next calculation step;
and obtaining a calculation result corresponding to the current calculation step as the final calculation result until no executable calculation step exists after the current calculation step.
Further, the step of obtaining the calculation result corresponding to each calculation step specifically includes:
judging the type of a calculation formula of which the calculation is being performed in the current calculation step;
if the calculation formula in the current calculation step is a mathematical function calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset first analysis mode, wherein the first analysis mode is a mxpprer mathematical function analysis tool;
and if the calculation formula which is being executed in the current calculation step is a mathematical expression type calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset second analysis mode, wherein the second analysis mode is a MathParse mathematical expression analysis tool.
In order to solve the technical problems, the embodiment of the application also provides a data processing device based on field design, which adopts the following technical scheme:
a domain-design-based data processing apparatus, comprising:
the modeling factor acquisition module is used for acquiring a modeling factor by carrying out business process analysis on a target business system, wherein the modeling factor comprises a business scene name, a calculation service item name and processing logic contained in each calculation service item contained in the target business system;
the field model drawing module is used for drawing a field model drawing based on a preset drawing tool and the modeling factors;
the business computing service model construction module is used for constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram;
the model parameter entering data acquisition module is used for acquiring model parameter entering data to be subjected to service calculation through a preset calculation data acquisition engine, wherein the model parameter entering data comprises service scene names to be subjected to service calculation, calculation service item names and service characterization data participating in specific calculation;
The classification and identification module is used for sending the model entry parameter data to be subjected to service calculation into the service calculation service model, and carrying out classification and identification on the model entry parameter data according to a preset identification mode to obtain a target identification result;
and the business computing module is used for calling a corresponding computing formula in the business computing service model to perform business computing according to the target identification result, and obtaining a final computing result.
In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:
a computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the domain-based design data processing method described above.
In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:
a computer readable storage medium having stored thereon computer readable instructions which when executed by a processor implement the steps of a domain-based design data processing method as described above.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
according to the data processing method based on the field design, a modeling factor is obtained by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and sending the model entry parameter data to be subjected to service calculation into the service calculation service model, classifying and identifying the model entry parameter data according to a preset identification mode, and calling a corresponding calculation formula in the service calculation service model to perform service calculation so as to obtain a final calculation result. And the method and the system consider that all the calculation services in the comprehensive medical insurance system are aggregated and arranged and are independently integrated into a premium calculation service model, and meanwhile, different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
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In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a domain-based design data processing method in accordance with the present application;
FIG. 3 is a flow chart of one embodiment of step 201 of FIG. 2;
FIG. 4 is a flow chart of one embodiment of step 202 of FIG. 2;
FIG. 5 is a flow chart of one embodiment of step 203 shown in FIG. 2;
FIG. 6 is a flow chart of one embodiment of step 205 of FIG. 2;
FIG. 7 is a flow chart of one embodiment of step 206 of FIG. 2;
FIG. 8 is a schematic diagram of one embodiment of a domain-based design data processing apparatus in accordance with the present application;
FIG. 9 is a schematic diagram of an embodiment of a computer device in accordance with the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture ExpertsGroup Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving PictureExperts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
It should be noted that, the data processing method based on the domain design provided by the embodiment of the present application is generally executed by a server, and accordingly, the data processing device based on the domain design is generally disposed in the server.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow chart of one embodiment of a domain-based design data processing method in accordance with the present application is shown. The data processing method based on the field design comprises the following steps:
Step 201, obtaining a modeling factor by performing business process analysis on a target business system.
The modeling factors comprise business scene names, computing service item names and processing logic contained in each computing service item, wherein the business scene names, the computing service item names and the processing logic contained in each computing service item are contained in the target business system.
The processing logic contained in each computing service item specifically comprises: the calculation steps contained in each calculation service item, the calculation formulas corresponding to each calculation step and the calculation factors corresponding to each calculation formula.
In this embodiment, the target service system is a comprehensive medical insurance system. The comprehensive medical insurance system refers to a medical insurance system which covers the whole insurance business processes of insurance application, security, claim settlement and the like. The business process analysis of the target business system can analyze the business process of the target business system in a log analysis mode.
With continued reference to fig. 3, fig. 3 is a flow chart of one embodiment of step 201 of fig. 2, comprising:
step 301, obtaining a service scene name contained in the target service system by performing service flow analysis on the target service system;
the comprehensive medical insurance system is a medical insurance system covering the whole insurance business processes of insurance, security, claim settlement and the like, so that the comprehensive medical insurance system covers the insurance or the insurance service, the security service and the claim settlement service.
Step 302, performing service program analysis according to each service scene name to obtain a computing service item corresponding to each service scene;
wherein, there is a one-to-many mapping relationship between each business scenario and its corresponding computing service item, i.e. each business scenario corresponds to a plurality of computing service items, for example, the security business in the comprehensive medical insurance system in the above example, and as the insurance cost of a certain medical insurance increases or decreases, it corresponds to different computing service items respectively, moreover, as different medical risks are increased or reduced in the underwriting service, different computing service items are respectively corresponding to the different medical risks, and correspondingly, when the claim settlement is carried out according to different disease types corresponding to the medical insurance, different computing service items exist in the claim settlement service corresponding to the different disease types.
Step 303, performing processing logic analysis on each computing service item to obtain processing logic contained in each computing service item;
specifically, firstly, carrying out calculation step analysis on each calculation service item to obtain calculation steps contained in each calculation service item in each business scene; in this case, the method may further include a step of calculating each of the calculation service items, or may further include a plurality of calculation steps, for example, the calculation service item corresponding to the insurance fee increase of the comprehensive medical insurance system may be added to the existing calculation service item, and the fee increase adjustment step may be added to the calculation service item, and the fee after the increase adjustment is used as a parameter value of the calculation service item to perform the fee keeping operation.
Secondly, according to a preset calculation formula list, obtaining a calculation formula corresponding to each calculation step;
in this embodiment, the preset calculation formula list includes calculation formulas corresponding to different dangerous types in the past when the dangerous types are underwriting, preserving and claiming, and the calculation formulas and the calculation steps may be one-to-one mapping relationship, one-to-many mapping relationship or many-to-many mapping relationship, and the specific mapping relationship is set according to an actual service scenario.
Then, according to a preset calculation factor configuration file, obtaining a calculation factor corresponding to each calculation formula, wherein the calculation factors comprise parameter input factors, output influence factors and dynamic rate factors;
and step 304, using the service scene names, the computing service item names and the processing logic contained in the computing service items in each service scene contained in the target service system as the modeling factors.
In essence, the service scene name, the computing service item name, the computing steps included in each computing service item in each service scene, the computing formula corresponding to each computing step, and the computing factor corresponding to each computing formula included in the target service system are used as the modeling factors.
And gradually analyzing the target service system to obtain factor information modeling the service calculation service model, wherein the service calculation service model can be a premium calculation service model. The method can be used for screening the modeling factors of the premium calculation service model of the newly input comprehensive medical insurance system and screening the modeling factors of the premium calculation service model of the existing comprehensive medical insurance system, so that the existing comprehensive medical insurance system is improved, and the modeling universality is more met.
And 202, drawing a domain model diagram based on a preset drawing tool and the modeling factors.
With continued reference to FIG. 4, FIG. 4 is a flow chart of one embodiment of step 202 of FIG. 2, including:
step 401, determining a mapping relation between each business scene and each computing service item according to the computing service item corresponding to each business scene, wherein the business scene comprises a security business, an underwriting business and a claim settlement business;
step 402, determining a calculation step, a calculation formula corresponding to the calculation step and a calculation factor corresponding to the calculation formula respectively, which are included in each calculation service item in each business scene, according to processing logic included in each calculation service item in each business scene, wherein the type of the calculation formula comprises a mathematical function type calculation formula and a mathematical expression type calculation formula;
And step 403, drawing the domain model graph by adopting a preset drawing tool according to the calculation steps, the calculation formulas corresponding to the calculation steps and the calculation factors corresponding to the calculation formulas in each service scene, wherein the preset drawing tool is a UML graph drawing tool.
In this embodiment, UML (Unified Modeling Language ), also known as standard modeling language, is a language used to visually model software-intensive systems. The UML diagram drawing tool comprises BoardMix, plantUML, starUML, a random Rose, RSA, visual Paradigm and the like, and the field model diagram drawing is carried out in a mode of externally connecting a third party drawing tool. The field model diagram is drawn through the UML diagram drawing tool, so that the mapping relation among modeling factors can be intuitively displayed in the field model diagram, and modeling reference is facilitated.
And 203, constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram.
With continued reference to fig. 5, fig. 5 is a flow chart of one embodiment of step 203 shown in fig. 2, comprising:
Step 501, generating a pre-constructed business computing service model according to the domain model diagram and the modeling factors;
step 502, deploying the pre-built business computing service model to a domain service layer of a preset computing engine center, and configuring computing sub-services respectively corresponding to each computing service item in each business scene according to computing steps contained in each computing service item in each business scene, computing formulas corresponding to each computing step and computing factors corresponding to each computing formula;
step 503, starting an initialization program, completing the initialization configuration of the pre-constructed service computing service model according to the initialization configuration file, and obtaining an initialized service computing service model.
In this embodiment, the compute engine center includes a data access layer, an application service layer, a domain service layer, and an infrastructure layer.
And configuring and initializing the computing sub-service corresponding to each computing service item in each service scene by constructing the service computing service model, so that the service computing service model is in a usable state. In addition, the insurance calculation service model is set to the domain service layer of the calculation engine center, so that unified management and layered idea design are carried out on each calculation sub-service, sustainable usability of the target business system is guaranteed, and service scheduling mixing is avoided.
In this embodiment, before the step of obtaining the model parameter entering data to be subjected to service calculation by the preset calculation data obtaining engine is performed, the method further includes: and setting the computing data acquisition engine at a data access layer of the computing engine center.
By arranging the calculation data acquisition engine on the data access layer of the calculation engine center, and not directly connecting with the insurance calculation service model, the situation that data irrelevant to service call is introduced into the field service layer of the target service system is avoided, and the field service layer of the target service system is ensured to acquire only the data for service access as much as possible.
Step 204, obtaining model parameter entering data to be subjected to service calculation through a preset calculation data obtaining engine, wherein the model parameter entering data comprises service scene names to be subjected to service calculation, calculation service item names and service characterization data participating in specific calculation.
In this embodiment, the carrier of the model entry data to be subjected to service calculation may be an uploaded insurance service related file, for example: the system comprises an underwriting file, a security file or a claim settlement file, wherein the underwriting file contains a policy type, a policy number and underwriting data, the security file contains a policy type, a policy number and security data, and the claim settlement file contains a policy type, a policy number and claim settlement data. The policy type is used for identifying different business scenes, and corresponding different computing service items and business characterization data participating in specific computation can be resolved from the underwriting data, the security data and the claim settlement data.
Step 205, sending the model entry parameter data to be subjected to service calculation into the service calculation service model, and performing classification recognition on the model entry parameter data according to a preset recognition mode to obtain a target recognition result.
In this embodiment, the target recognition result includes calculation service screening data and calculation entry data.
With continued reference to fig. 6, fig. 6 is a flow chart of one embodiment of step 205 shown in fig. 2, comprising:
step 601, receiving the model parameter entering data to be subjected to service calculation, which is sent to the service calculation service model;
step 602, splitting the model entry parameter data according to a preset data splitting template to obtain a service scene name, a calculation service item name and service characterization data participating in specific calculation, wherein the service scene name and the calculation service item name are to be subjected to service calculation;
and step 603, taking the service scene name and the computing service item name to be subjected to service computing as computing service screening data, and taking the service characterization data participating in specific computing as computing parameter entering data.
And 206, calling a corresponding calculation formula in the business calculation service model to perform business calculation according to the target identification result, and obtaining a final calculation result.
With continued reference to fig. 7, fig. 7 is a flow chart of one embodiment of step 206 shown in fig. 2, comprising:
step 701, screening out a target computing sub-service corresponding to the service scene name to be subjected to service computation under the computing service item name according to the computing service screening data;
step 702, inputting the calculated parameter data into the target calculation sub-service, and obtaining a calculation result corresponding to each calculation step according to the calculation step in the target calculation sub-service and a calculation formula corresponding to each calculation step;
in this embodiment, the step of obtaining the calculation result corresponding to each calculation step specifically includes: judging the type of a calculation formula of which the calculation is being performed in the current calculation step; if the calculation formula in the current calculation step is a mathematical function calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset first analysis mode, wherein the first analysis mode is a mxpprer mathematical function analysis tool; and if the calculation formula which is being executed in the current calculation step is a mathematical expression type calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset second analysis mode, wherein the second analysis mode is a MathParse mathematical expression analysis tool.
And disposing the mxpearser mathematical function analysis tool and the MathParser mathematical expression analysis tool at the infrastructure layer, so that the mxpearser mathematical function analysis tool and the MathParser mathematical expression analysis tool can be used as a third party tool to analyze mathematical function type calculation formulas and mathematical expression type calculation formulas respectively.
Step 703, judging whether there is an executable calculation step after the current calculation step;
step 704, if there is an executable calculation step after the current calculation step, taking the calculation result corresponding to the current calculation step as the parameter value of the next calculation step, and continuing to execute the next calculation step;
step 705, until no executable calculation step exists after the current calculation step, obtaining a calculation result corresponding to the current calculation step as the final calculation result.
At present, with the development of the digital medical industry, the comprehensive medical insurance system is also suitable for more complex insurance business scenes, so that the aggregation and arrangement of all computing services in the comprehensive medical insurance system are considered to be integrated into a premium computing service model, and meanwhile, different computing sub-services are configured in the premium computing service model, so that when in use, the target computing sub-services in the premium computing service model are accurately called according to specific business scenes, the premium computing efficiency is further improved, and the maintainability of the system is improved.
According to the application, a modeling factor is obtained by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and sending the model entry parameter data to be subjected to service calculation into the service calculation service model, classifying and identifying the model entry parameter data according to a preset identification mode, and calling a corresponding calculation formula in the service calculation service model to perform service calculation so as to obtain a final calculation result. And the method and the system consider that all the calculation services in the comprehensive medical insurance system are aggregated and arranged and are independently integrated into a premium calculation service model, and meanwhile, different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
In the embodiment of the application, a modeling factor is obtained by carrying out service flow analysis on a target service system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and calling a corresponding calculation formula in the business calculation service model to carry out business calculation, and obtaining a final calculation result. And considering that all calculation services in the comprehensive medical insurance system are aggregated and tidied and integrated into a premium calculation service model, and different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
With further reference to fig. 8, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a data processing apparatus based on domain design, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 8, the data processing apparatus 800 based on domain design according to the present embodiment includes: the system comprises a modeling factor acquisition module 801, a domain model drawing module 802, a business computing service model construction module 803, a model entry parameter data acquisition module 804, a classification identification module 805 and a business computing module 806. Wherein:
a modeling factor obtaining module 801, configured to obtain a modeling factor by performing service flow analysis on a target service system, where the modeling factor includes a service scenario name, a computing service item name, and processing logic included in each computing service item included in the target service system;
a domain model drawing module 802, configured to draw a domain model drawing based on a preset drawing tool and the modeling factor;
the business computing service model construction module 803 is configured to construct an initialized business computing service model according to a preset initialization configuration file and the domain model diagram;
The model entry parameter data acquisition module 804 is configured to acquire model entry parameter data to be subjected to service calculation through a preset calculation data acquisition engine, where the model entry parameter data includes a service scene name to be subjected to service calculation, a calculation service item name, and service characterization data that participates in specific calculation;
the classification recognition module 805 is configured to send the model entry parameter data to be subjected to service computation to the service computing service model, perform classification recognition on the model entry parameter data according to a preset recognition mode, and obtain a target recognition result;
and the service calculation module 806 is configured to invoke a corresponding calculation formula in the service model to perform service calculation according to the target identification result, and obtain a final calculation result.
According to the application, a modeling factor is obtained by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and sending the model entry parameter data to be subjected to service calculation into the service calculation service model, classifying and identifying the model entry parameter data according to a preset identification mode, and calling a corresponding calculation formula in the service calculation service model to perform service calculation so as to obtain a final calculation result. And the method and the system consider that all the calculation services in the comprehensive medical insurance system are aggregated and arranged and are independently integrated into a premium calculation service model, and meanwhile, different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by computer readable instructions, stored on a computer readable storage medium, that the program when executed may comprise the steps of embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 9, fig. 9 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 9 comprises a memory 9a, a processor 9b, a network interface 9c communicatively connected to each other via a system bus. It should be noted that only a computer device 9 having components 9a-9c is shown in the figures, but it should be understood that not all of the illustrated components need be implemented, and that more or fewer components may alternatively be implemented. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 9a includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 9a may be an internal storage unit of the computer device 9, such as a hard disk or a memory of the computer device 9. In other embodiments, the memory 9a may also be an external storage device of the computer device 9, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 9. Of course, the memory 9a may also comprise both an internal memory unit of the computer device 9 and an external memory device. In this embodiment, the memory 9a is typically used to store an operating system and various application software installed on the computer device 9, such as computer readable instructions of a data processing method based on domain design. Further, the memory 9a may be used to temporarily store various types of data that have been output or are to be output.
The processor 9b may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 9b is typically used to control the overall operation of the computer device 9. In this embodiment, the processor 9b is configured to execute computer readable instructions stored in the memory 9a or process data, such as computer readable instructions for executing the data processing method based on the domain design.
The network interface 9c may comprise a wireless network interface or a wired network interface, which network interface 9c is typically used for establishing a communication connection between the computer device 9 and other electronic devices.
The computer equipment provided by the embodiment belongs to the technical field of artificial intelligence and digital medical treatment, and is applied to the medical premium calculation process in the comprehensive medical insurance system. According to the application, a modeling factor is obtained by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and sending the model entry parameter data to be subjected to service calculation into the service calculation service model, classifying and identifying the model entry parameter data according to a preset identification mode, and calling a corresponding calculation formula in the service calculation service model to perform service calculation so as to obtain a final calculation result. And the method and the system consider that all the calculation services in the comprehensive medical insurance system are aggregated and arranged and are independently integrated into a premium calculation service model, and meanwhile, different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
The present application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions executable by a processor to cause the processor to perform the steps of the data processing method based on domain design as described above.
The computer readable storage medium provided by the embodiment belongs to the technical field of artificial intelligence and digital medical treatment, and is applied to the medical premium calculation process in the comprehensive medical insurance system. According to the application, a modeling factor is obtained by carrying out business process analysis on a target business system; drawing a domain model diagram; constructing a business computing service model; obtaining model parameter entering data to be subjected to business calculation; and sending the model entry parameter data to be subjected to service calculation into the service calculation service model, classifying and identifying the model entry parameter data according to a preset identification mode, and calling a corresponding calculation formula in the service calculation service model to perform service calculation so as to obtain a final calculation result. And the method and the system consider that all the calculation services in the comprehensive medical insurance system are aggregated and arranged and are independently integrated into a premium calculation service model, and meanwhile, different calculation sub-services are configured in the premium calculation service model, so that the target calculation sub-services in the premium calculation service model are accurately called according to specific business scenes when the system is used, the premium calculation efficiency is further improved, and the maintainability of the system is improved.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.

Claims (10)

1. The data processing method based on the field design is characterized by comprising the following steps:
obtaining a modeling factor by carrying out business process analysis on a target business system, wherein the modeling factor comprises a business scene name, a calculation service item name and processing logic contained in each calculation service item contained in the target business system;
drawing a domain model diagram based on a preset drawing tool and the modeling factors;
constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram;
acquiring model parameter entering data to be subjected to service calculation through a preset calculation data acquisition engine, wherein the model parameter entering data comprises service scene names to be subjected to service calculation, calculation service item names and service characterization data participating in specific calculation;
the model entry parameter data to be subjected to business calculation is sent to the business calculation service model, and classification and identification are carried out on the model entry parameter data according to a preset identification mode, so that a target identification result is obtained;
and calling a corresponding calculation formula in the business calculation service model to carry out business calculation according to the target identification result, and obtaining a final calculation result.
2. The method for processing data based on domain design according to claim 1, wherein the step of obtaining the modeling factor by performing business process analysis on the target business system specifically comprises:
acquiring a service scene name contained in the target service system by carrying out service flow analysis on the target service system;
performing service program analysis according to each service scene name to obtain a calculation service item corresponding to each service scene;
processing logic analysis is carried out on each computing service item, and processing logic contained in each computing service item is obtained;
and taking the service scene names, the computing service item names and the processing logic contained in each computing service item in each service scene contained in the target service system as the modeling factors.
3. The data processing method based on domain design according to claim 2, wherein the step of drawing a domain model graph based on a preset drawing tool and the modeling factor specifically comprises:
determining the mapping relation between each business scene and each calculation service item according to the calculation service item corresponding to each business scene, wherein the business scenes comprise a security service, a underwriting service and a claim settlement service;
According to processing logic contained in each calculation service item in each business scene, determining a calculation step contained in each calculation service item in each business scene, a calculation formula corresponding to the calculation step and a calculation factor corresponding to the calculation formula, wherein the type of the calculation formula comprises a mathematical function type calculation formula and a mathematical expression type calculation formula;
and drawing the domain model graph by adopting a preset drawing tool according to the calculation steps contained in each calculation service item in each business scene, the calculation formulas corresponding to the calculation steps and the calculation factors corresponding to the calculation formulas, wherein the preset drawing tool is a UML graph drawing tool.
4. The data processing method based on domain design according to claim 1, wherein the step of constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram specifically comprises:
generating a pre-constructed business computing service model according to the field model diagram and the modeling factors;
deploying the pre-built business computing service model to a domain service layer of a preset computing engine center, and configuring computing sub-services respectively corresponding to each computing service item in each business scene according to computing steps contained in each computing service item in each business scene, a computing formula corresponding to each computing step and a computing factor corresponding to each computing formula, wherein the computing engine center comprises a data access layer, an application service layer, a domain service layer and an infrastructure layer;
Starting an initialization program, completing initialization configuration of the pre-constructed business computing service model according to the initialization configuration file, and obtaining an initialized business computing service model;
before executing the step of acquiring the model entry data to be subjected to service calculation through the preset calculation data acquisition engine, the method further comprises the following steps:
and setting the computing data acquisition engine at a data access layer of the computing engine center.
5. The method for processing data based on domain design according to claim 4, wherein the target recognition result includes calculation service screening data and calculation entry data, the model entry data to be subjected to service calculation is sent to the service calculation service model, classification recognition is performed on the model entry data according to a preset recognition mode, and the step of obtaining the target recognition result specifically includes:
receiving the model parameter entering data to be subjected to service calculation, which is sent to the service calculation service model;
splitting the model entry parameter data according to a preset data splitting template to obtain a service scene name, a calculation service item name and service characterization data participating in specific calculation, wherein the service scene name and the calculation service item name are to be subjected to service calculation;
And taking the service scene name and the computing service item name to be subjected to service computing as computing service screening data, and taking the service characterization data participating in specific computing as computing parameter entering data.
6. The data processing method based on domain design according to claim 5, wherein the step of calling a corresponding calculation formula in the business calculation service model to perform business calculation according to the target recognition result to obtain a final calculation result specifically comprises:
screening out target computing sub-services corresponding to the service scene names to be subjected to service computation under the computing service item names according to the computing service screening data;
inputting the calculated parameter data into the target calculation sub-service, and acquiring a calculation result corresponding to each calculation step according to the calculation step in the target calculation sub-service and a calculation formula corresponding to each calculation step;
judging whether an executable calculation step exists after the current calculation step;
if the executable calculation step is still available after the current calculation step, taking the calculation result corresponding to the current calculation step as the parameter value of the next calculation step, and continuously executing the next calculation step;
And obtaining a calculation result corresponding to the current calculation step as the final calculation result until no executable calculation step exists after the current calculation step.
7. The method for processing data based on domain design according to claim 6, wherein the step of obtaining the calculation result corresponding to each calculation step specifically comprises:
judging the type of a calculation formula of which the calculation is being performed in the current calculation step;
if the calculation formula in the current calculation step is a mathematical function calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset first analysis mode, wherein the first analysis mode is a mxpprer mathematical function analysis tool;
and if the calculation formula which is being executed in the current calculation step is a mathematical expression type calculation formula, acquiring a calculation result output by the business calculation service model at an infrastructure layer through a preset second analysis mode, wherein the second analysis mode is a MathParse mathematical expression analysis tool.
8. A domain-design-based data processing apparatus, comprising:
the modeling factor acquisition module is used for acquiring a modeling factor by carrying out business process analysis on a target business system, wherein the modeling factor comprises a business scene name, a calculation service item name and processing logic contained in each calculation service item contained in the target business system;
The field model drawing module is used for drawing a field model drawing based on a preset drawing tool and the modeling factors;
the business computing service model construction module is used for constructing an initialized business computing service model according to a preset initialization configuration file and the domain model diagram;
the model parameter entering data acquisition module is used for acquiring model parameter entering data to be subjected to service calculation through a preset calculation data acquisition engine, wherein the model parameter entering data comprises service scene names to be subjected to service calculation, calculation service item names and service characterization data participating in specific calculation;
the classification and identification module is used for sending the model entry parameter data to be subjected to service calculation into the service calculation service model, and carrying out classification and identification on the model entry parameter data according to a preset identification mode to obtain a target identification result;
and the business computing module is used for calling a corresponding computing formula in the business computing service model to perform business computing according to the target identification result, and obtaining a final computing result.
9. A computer device comprising a memory having stored therein computer readable instructions which when executed implement the steps of the domain-based design data processing method of any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon computer-readable instructions which, when executed by a processor, implement the steps of the domain design based data processing method of any of claims 1 to 7.
CN202311075753.4A 2023-08-24 2023-08-24 Data processing method, device, equipment and storage medium based on field design Pending CN117057935A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117610105A (en) * 2023-12-07 2024-02-27 上海烜翊科技有限公司 Model view structure design method for automatically generating system design result
CN117610105B (en) * 2023-12-07 2024-06-07 上海烜翊科技有限公司 Model view structure design method for automatically generating system design result

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117610105A (en) * 2023-12-07 2024-02-27 上海烜翊科技有限公司 Model view structure design method for automatically generating system design result
CN117610105B (en) * 2023-12-07 2024-06-07 上海烜翊科技有限公司 Model view structure design method for automatically generating system design result

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