CN112529718A

CN112529718A - Multi-scene-based product demonstration method and device, computer equipment and medium

Info

Publication number: CN112529718A
Application number: CN202011445921.0A
Authority: CN
Inventors: 郭丽丽
Original assignee: Ping An Life Insurance Company of China Ltd
Current assignee: Ping An Life Insurance Company of China Ltd
Priority date: 2020-12-08
Filing date: 2020-12-08
Publication date: 2021-03-19
Anticipated expiration: 2040-12-08
Also published as: CN112529718B

Abstract

The embodiment of the application belongs to the field of data processing, and relates to a multi-scene-based product demonstration method. The application also provides a product demonstration device, computer equipment and a storage medium based on the multi-scene. In addition, the application also relates to a blockchain technology, and the calculation algorithms of all demonstration items can be stored in the blockchain. The application can improve the calculation efficiency, and is convenient for users to comprehensively know the product to be demonstrated.

Description

Multi-scene-based product demonstration method and device, computer equipment and medium

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a multi-scenario-based product demonstration method, apparatus, computer device, and medium.

Background

The benefit demonstration is that the financial company simulates and demonstrates the responsibility and benefit in the financial product appointed period based on company actuarial and other assumed situations, the benefit data in the corresponding scene in each appointed period can be shown in detail, and the user can intuitively know the guarantee responsibility and benefit condition of the financial product.

For example, the benefit demonstration of the universal product adopts three grades, namely high grade, medium grade and low grade, to demonstrate the future benefit payment of the novel product to the user, and the settlement interest rate of the universal product for benefit demonstration cannot exceed the highest upper limit of the regulation, so that most of the demonstrated benefit items are simplified and single, and the user cannot comprehensively know the related benefits of the universal product.

Disclosure of Invention

An object of the embodiments of the present application is to provide a multi-scenario-based product demonstration method, apparatus, computer device, and storage medium, so as to solve the problem that a user cannot comprehensively know a product due to a single benefit item demonstration of a fusion product in related technologies.

In order to solve the above technical problem, an embodiment of the present application provides a product demonstration method based on multiple scenes, which adopts the following technical solutions:

obtaining all demonstration items under different scenes according to various demonstration scenes of a product to be demonstrated;

acquiring calculation algorithms of all the demonstration items, sequencing the demonstration items according to the calculation algorithms to obtain calculation sequencing, and classifying the calculation algorithms;

configuring a system computing model according to the classification result of the computing algorithm; and

and sequentially calculating the demonstration items according to the sequence by using the system calculation model, and summarizing and demonstrating the calculation results.

Further, the step of classifying the calculation algorithm includes:

dividing the calculation algorithm into a first dimension calculation algorithm and a second dimension calculation algorithm according to the calculation dimension;

and dividing the first dimension calculation algorithm into a fixed algorithm and a variable algorithm, and simultaneously dividing the second dimension calculation algorithm into the fixed algorithm and the variable algorithm.

Further, the step of configuring a computational model according to the classification result of the computational algorithm includes:

configuring a first dimension calculation model according to the first dimension calculation algorithm, and configuring a second dimension calculation model according to the second dimension calculation algorithm;

constructing a general algorithm for the fixed algorithm in the first dimension calculation model and the second dimension calculation model;

splitting the demonstration items corresponding to the variation algorithms in the first dimension calculation algorithm and the second dimension calculation algorithm into independent demonstration items;

configuring an independent computing algorithm for the independent presentation item in the first dimension computing model and the second dimension computing model.

Further, after the step of configuring a system computation model according to the classification result of the computation algorithm, the method further comprises:

configuring an entry table of the calculation algorithm;

and performing associated storage on the demonstration items, the calculation sequence, the calculation algorithm and the calculation model.

Further, the step of configuring the entry table of the calculation algorithm comprises:

creating an entry table of calculation algorithms for all of the presentation items;

and configuring all the demonstration items and the corresponding calculation algorithms, the calculation sequences and the calculation models at corresponding positions of the entry table.

Further, the step of using the calculation model to sequentially calculate the presentation items according to the calculation order includes:

determining a demonstration item to be calculated and a classification result of a calculation algorithm corresponding to the demonstration item to be calculated;

and according to the classification result of the demonstration item to be calculated, using a calculation model corresponding to the classification result, and calculating benefit results of the demonstration item to be calculated in sequence according to the calculation sequence.

Further, the step of using the calculation model corresponding to the classification result includes:

determining calculation algorithm identification information corresponding to the demonstration item to be calculated;

and calling a calculation algorithm in the calculation model according to the identification information.

In order to solve the above technical problem, an embodiment of the present application further provides a product demonstration apparatus based on multiple scenes, which adopts the following technical solutions:

the analysis module is used for obtaining all demonstration items under different scenes according to various demonstration scenes of the product to be demonstrated;

the classification sorting module is used for acquiring calculation algorithms of all the demonstration items, sorting the demonstration items according to the calculation algorithms to obtain calculation sorting, and classifying the calculation algorithms;

the configuration module is used for configuring a calculation model according to the classification result of the calculation algorithm; and

and the calculation module is used for calculating the demonstration items in sequence according to the calculation sequence by using the calculation model and summarizing and demonstrating calculation results.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:

the computer device comprises a memory having computer readable instructions stored therein and a processor implementing the steps of the multi-scenario based product demonstration method as described above when the processor executes the computer readable instructions.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:

the computer readable storage medium has stored thereon computer readable instructions which, when executed by a processor, implement the steps of the multi-scenario based product presentation method as described above.

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects:

the method comprises the steps of obtaining all demonstration items under different scenes according to various demonstration scenes of a product to be demonstrated, obtaining calculation algorithms of all demonstration items, sequencing the demonstration items according to the calculation algorithms to obtain calculation sequencing, classifying the calculation algorithms, configuring a calculation model according to the classification results of the calculation algorithms, sequentially calculating the demonstration items according to the sequencing by using the calculation model, and summarizing and demonstrating the calculation results; the calculation algorithms corresponding to all demonstration items related to different scenes are sorted and ranked, the calculation models are configured according to the sorting results, the different calculation algorithms can be classified and calculated, meanwhile, the calculation models are configured to calculate, the calculation efficiency can be improved, in addition, the calculation results of all the demonstration items are displayed, and a user can conveniently and comprehensively know products to be demonstrated.

Drawings

In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of a multi-scenario based product demonstration method according to the present application;

FIG. 3 is a flowchart of one embodiment of step S203 in FIG. 2;

FIG. 4 is a flow diagram of another embodiment of a multi-scenario based product demonstration method according to the present application;

FIG. 5 is a schematic diagram of an embodiment of a multi-scenario based product demonstration apparatus according to the present application;

FIG. 6 is a schematic block diagram of one embodiment of a computer device according to 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 application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

In order to solve the problem that the benefit item demonstration of the financial product in the related art is single, and therefore a user cannot fully understand the product, the present application provides a multi-scenario based product demonstration method, which can be applied to a system architecture 100 shown in fig. 1, where the system architecture 100 may include

terminal devices

101, 102, and 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, 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 multi-scenario based product demonstration method provided in the embodiments of the present application is generally executed by a server or a terminal device, and accordingly, the multi-scenario based product demonstration apparatus is generally disposed in the server or the terminal device.

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 continuing reference to FIG. 2, a flowchart of one embodiment of a multi-scenario based product demonstration method according to the present application is shown, comprising the steps of:

step S201, obtaining all demonstration items under different scenes according to various demonstration scenes of the product to be demonstrated.

In this embodiment, the product to be demonstrated is a product matching a universal product with a general product. The universal insurance product is a universal insurance product, belongs to a class of insurance products, provides life protection like the traditional life insurance, and can also enable a user to directly participate in the capital investment activity in an investment account established by an insurance company for an insurance applicant, and the insurance policy value is hooked with the performance of the investment account capital of the insurance company independently operating.

The various demonstration scenes are various scenes for demonstrating products formed by matching general products with universal products, and the general product matching universal products can be one general product matching universal product or two or more general products matching universal products. For example, suppose that a common insurance product is annuity or red risk and light disease of serious illness, and is matched with a universal insurance product, four scenes are matched, wherein the scene one is to select the light disease and transfer the light disease into a universal account, the scene two is to select the light disease and not transfer the light disease into the universal account, the scene three is to select the light disease and only add wealth accumulation, and the scene four is to select the light disease and not add wealth accumulation; the demonstration items in the first scene comprise three categories, namely annuity or reddish charge demonstration, annuity or reddish charge transfer account demonstration and hypothesis mild condition transfer account demonstration, the demonstration items in the second scene comprise three categories, namely annuity or reddish charge demonstration, annuity or reddish charge transfer account demonstration and hypothesis mild condition non-transfer account demonstration, the demonstration items in the third scene comprise two categories, namely annuity or reddish charge demonstration and annuity or reddish charge transfer account demonstration, the demonstration items in the fourth scene comprise two categories, namely annuity or reddish charge demonstration and non-transfer account, and the demonstration items in all the demonstration item categories, such as survival fund bonus, mild condition insurance fund and policy interest, are obtained.

It should be noted that the demonstration items are determined according to demonstration items of general insurance products and demonstration items of universal insurance products, and the demonstration items of the products are determined after the development is completed.

Step S202, obtaining calculation algorithms of all demonstration items, sequencing the demonstration items according to the calculation algorithms to obtain calculation sequencing, and classifying the calculation algorithms.

In this embodiment, the calculation algorithm corresponding to each presentation item is provided by product actuarial, and the classification is performed according to the calculation algorithm of the presentation item provided by product actuarial.

The demonstration items are ordered according to the calculation algorithm to obtain the calculation ordering, specifically, the demonstration items can be ordered according to the incidence relation among the demonstration items, for example, the calculation algorithm of the demonstration item 1 is a basic calculation algorithm, the calculation algorithm of the demonstration item 2 depends on the calculation result of the demonstration item 1, the calculation algorithm of the demonstration item 3 needs to depend on the calculation result of the demonstration item 2, and the ordering is sequentially the demonstration item 1, the demonstration item 2 and the demonstration item 3 from one to three; for presentation items without association, sorting setting can be performed as required.

Specifically, the calculation algorithms of all the demonstration items are classified according to the calculation dimensions, and are classified into a first dimension calculation algorithm and a second dimension calculation algorithm, in this embodiment, the calculation dimensions are settlement dimensions, namely annual settlement and monthly settlement, so that the first dimension calculation algorithm is a yearly calculation algorithm, the second dimension calculation algorithm is a monthly calculation algorithm, the yearly calculation algorithm is classified into a fixed algorithm and a variable algorithm, and the monthly calculation algorithm is classified into a fixed algorithm and a variable algorithm.

The annual calculation algorithm is calculated once per year for the annual dimension, and the monthly calculation algorithm is calculated once per month for the monthly dimension; determining the calculation dimension of each demonstration item according to the calculation algorithms of the demonstration items under different scenes, for example, the survival fund is paid in the 5 th and 6 th years after the contract arrives, the algorithm of the survival fund has data only in the 5 th and 6 th years and is settled according to the years, so the calculation algorithm of the survival fund is an annual calculation algorithm; account value and rest, demonstration is a monthly settlement of 4.5% per year, rest needs to be carried out every month, and the settlement is monthly, so the account value and rest calculation algorithm is a monthly calculation algorithm.

The annual calculation algorithm and the monthly calculation algorithm are further classified into a fixed algorithm and a variable algorithm, namely the annual calculation algorithm is classified into the fixed algorithm and the variable algorithm, and the monthly calculation algorithm is classified into the fixed algorithm and the variable algorithm. For example, because the survival bonus of each product is different, the wharf payment premium related to the survival bonus, the transfer premium, the interest of the policy and the continuous reward of the policy are respectively corresponding to the calculation algorithms which are divided into the variation algorithms; after the account is transferred into the same account, the operation of the account is the same, so the calculation algorithms corresponding to the guarantee cost, the drawing and the accident fund related to the account are divided into fixed algorithms.

And all demonstration project calculation algorithms are classified, so that the classification calculation of the demonstration projects can be realized, and the calculation efficiency is improved.

It is emphasized that, in order to further ensure the privacy and security of the computing algorithms for all the presentation items, the computing algorithms for all the presentation items may also be stored in the nodes of a blockchain.

The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

Step S203, a calculation model is configured according to the classification result of the calculation algorithm.

In this embodiment, the first dimension calculation model and the second dimension calculation model are configured according to the classification result of the calculation algorithm, and then further configured according to the fixed algorithm or the variable algorithm.

In some optional implementations, the step of configuring the computational model of the system according to the classification result of the computational algorithm specifically includes:

step S301, configuring a first dimension calculation model according to a first dimension calculation algorithm, and configuring a second dimension calculation model according to a second dimension calculation algorithm.

In the embodiment, the corresponding calculation model is configured according to the calculation algorithm, so that the calculation of the subsequent demonstration project is facilitated.

Assuming that the demonstration result of the demonstration item is displayed according to the policy year, i.e. demonstration is performed after one year, for the month calculation algorithm, the intermediate calculation process is calculated according to the policy month, and for the year calculation algorithm, the conversion from the policy month to the policy year can be performed using the following formula:

policy year — INT ((policy month-1)/12) +1, which indicates policy year calculations performed at a certain full year node.

And S302, constructing a general algorithm for the fixed algorithm in the first dimension calculation model and the second dimension calculation model.

It should be understood that each product has a demonstration item, each demonstration item has its corresponding calculation algorithm, and the fixed algorithm means that a certain demonstration item has a fixed calculation algorithm in different products, and then the calculation algorithms corresponding to such demonstration items are constructed into a general algorithm.

The general algorithm is a common algorithm, namely the calculation algorithms of the same demonstration items in different products are the same, and the corresponding calculation algorithm is directly called after the subsequent products are changed without changing. For example, the term premium is a annual premium/base premium, and the value of the corresponding item in each product is substituted to obtain the term premium.

Step S303, splitting the demonstration items corresponding to the variation algorithms in the first dimension calculation algorithm and the second dimension calculation algorithm into independent demonstration items.

It should be understood that different scenes may include the same presentation item, the same calculation algorithm of the same presentation item in different scenes is the same for the fixed-class algorithm, and the different calculation algorithm of the same presentation item in different scenes is different for the variable-class algorithm, so that the same presentation item in different scenes needs to be split into independent presentation items.

For example, the calculation algorithm of the transfer-in universal insurance fee of each product is different, and the calculation algorithm of the transfer-in universal insurance fee of the product A is as follows: transferring universal insurance fee, namely, the benefit of the insurance premium for the current year, the benefit of the insurance premium for the special survival insurance premium for the current year, and the benefit guarantee premium for the full-term survival premium for the current year; the algorithm for transferring the product B into the universal insurance fee is as follows: the transferred universal insurance premium of the product A is divided into the transferred universal insurance premium of the product A, the transferred universal insurance premium of the product B and the transferred universal insurance premium of the product A, the transferred universal insurance premium of the product A is divided into the transferred universal insurance premium of the product A, the transferred universal insurance premium of the product A and the transferred universal insurance premium of the product B, and the transferred universal insurance premium of the product A and the transferred universal insurance premium of the product B are divided into the transferred universal insurance premium of the product A, the transferred universal premium of the product A and the transferred universal premium of the product B.

And step S304, configuring an independent calculation algorithm for the independent demonstration items in the first dimension calculation model and the second dimension calculation model.

Configuring a corresponding independent calculation algorithm for each independent demonstration project, namely configuring independent calculation algorithms for the product A, namely the product A, the product A and the product A respectively, and the product A are respectively provided with an independent calculation algorithm for the product A; and for the product B, independent calculation algorithms are respectively configured for the Yinxi current-year survival insurance fund and the Yinxi current-year full-term survival fund.

By the method, the part of computation abstraction is processed into a framework which can be flexibly configured, and the method can be flexibly applied to various scenes.

In some optional implementations, after step S203, the electronic device may further perform the following steps:

step S401, an entry table of a calculation algorithm is configured.

Specifically, an entry table of calculation algorithms of all the presentation items is created, and all the presentation items and the calculation algorithms, calculation orders and calculation models corresponding to the presentation items are configured at corresponding positions of the entry table.

The entry table is shown in table 1 below, and is intended to maintain all the presentation item configurations in one table, and the created entry table includes items such as product codes, presentation items, rankings, calculation algorithms, and system calculation models, and is subsequently filled in according to actual situations.

It should be noted that the product code is a code of a product formed by matching a general product with a universal product; filling the calculation algorithm item in the entry table with an algorithm ID of a calculation algorithm, and establishing an association relation between the algorithm ID and the calculation algorithm; in the calculation model project, the annual calculation model is represented by 0, and the monthly calculation model is represented by 1.

TABLE 1

And S402, performing associated storage on the demonstration items, the calculation sequence, the calculation algorithm and the calculation model.

In this embodiment, all presentation items and the corresponding calculation algorithms, calculation orders, and calculation models thereof are configured at corresponding positions of the entry table, and then stored, the calculation engine JEXL is configured, the entry table is analyzed by configuring the calculation engine JEXL, and the presentation items are calculated by the association relationship configured in the entry table. Jexl (java Expression language) is an Expression language engine, which finds the algorithm ID corresponding to the presentation item according to the presentation item analysis entry table to be calculated, and finds the corresponding calculation algorithm according to the algorithm ID to perform calculation.

In the embodiment, the demonstration items of the product are conveniently maintained by establishing the inlet table.

And S204, sequentially calculating demonstration items according to the calculation sequence by using a calculation model, and summarizing and demonstrating calculation results.

Specifically, classification results of the demonstration items to be calculated and the calculation algorithms corresponding to the demonstration items to be calculated are determined, calculation models corresponding to the classification results are used according to the classification results of the demonstration items to be calculated, and beneficial results of the demonstration items to be calculated are calculated sequentially according to calculation sequencing.

Inputting the set of all demonstration items to be calculated in the product into a calculation model, determining calculation algorithm identification information corresponding to the demonstration items to be calculated by the calculation model according to the classification results of the calculation algorithms of the demonstration items to be calculated, finding the corresponding calculation algorithms for calculation according to the incidence relation between the calculation algorithm identification information and the calculation algorithms, obtaining the profit results of each demonstration item to be calculated, and performing summary demonstration.

In this embodiment, the calculation result of the demonstration item shows data of the whole year according to the policy year, specifically, the demonstration item of the annual calculation algorithm shows data of the year, and the demonstration item of the monthly calculation algorithm shows data of 12 months in the whole year.

In this embodiment, calculation is performed by different types of calculation models, so that the calculation efficiency can be improved.

The calculation algorithms corresponding to all demonstration items related to different scenes are sorted and ranked, the calculation models are configured according to the sorting results, the different calculation algorithms can be classified and calculated, meanwhile, the calculation models are configured, the calculation efficiency can be improved, in addition, the calculation results of all the demonstration items are displayed, and a user can conveniently and comprehensively know products to be demonstrated.

The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer readable instructions, which can be stored in a computer readable storage medium, and when executed, the processes of the embodiments of the methods described above can be included. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a 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, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

With further reference to fig. 5, as an implementation of the method shown in fig. 2, the present application provides an embodiment of a multi-scenario based product demonstration apparatus, where the apparatus embodiment corresponds to the method embodiment shown in fig. 2, and the apparatus may be applied to various electronic devices.

As shown in fig. 5, the multi-scenario based product demonstration apparatus 500 according to the present embodiment includes: an analysis module 501, a sort module 502, a configuration module 503, and a calculation module 504. Wherein:

the analysis module 501 is configured to obtain all demonstration items in different scenes according to various demonstration scenes of a product to be demonstrated;

the classification sorting module 502 is configured to obtain calculation algorithms of all the presentation items, sort the presentation items according to the calculation algorithms to obtain calculation sorting, and sort the calculation algorithms;

the configuration module 503 is configured to configure a calculation model according to the classification result of the calculation algorithm;

the calculation module 504 is configured to use the calculation model to sequentially calculate the demonstration items according to the calculation order, and perform summary demonstration on calculation results.

In some optional implementations of this embodiment, the sorting module 502 is further configured to:

In some optional implementations of this embodiment, the configuration module 503 is further configured to:

And the different calculation algorithms are classified and calculated, so that the calculation mode can be flexibly configured, and the calculation efficiency is improved.

In some optional implementations of this embodiment, the configuration module 503 is further configured to configure an entry table of the calculation algorithm; and performing associated storage on the demonstration items, the calculation sequence, the calculation algorithm and the calculation model.

In some optional implementations, the configuration module 503 is further configured to: creating an entry table of calculation algorithms for all of the presentation items; and configuring all the demonstration items and the corresponding calculation algorithms, the calculation sequences and the calculation models at corresponding positions of the entry table.

In some optional implementation manners of this embodiment, the calculation module 504 includes a determination submodule and a calculation submodule, where the determination submodule is configured to determine the demonstration item to be calculated and the classification result of the calculation algorithm corresponding to the demonstration item to be calculated; and the calculation submodule is used for using a calculation model corresponding to the classification result according to the classification result of the demonstration item to be calculated and calculating the benefit result of the demonstration item to be calculated in sequence according to the calculation sequence.

In some optional implementations, the computation submodule is further configured to: determining calculation algorithm identification information corresponding to the demonstration item to be calculated; and calling a calculation algorithm in the calculation model according to the identification information. In this embodiment, calculation is performed by different types of calculation models, so that the calculation efficiency can be improved.

In order to solve the technical problem, an embodiment of the present application further provides a computer device. Referring to fig. 6, fig. 6 is a block diagram of a basic structure of a computer device according to the present embodiment.

The computer device 6 comprises a memory 61, a processor 62, a network interface 63 communicatively connected to each other via a system bus. It is noted that only a computer device 6 having components 61-63 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.

The memory 61 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 61 may be an internal storage unit of the computer device 6, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 6. Of course, the memory 61 may also comprise both an internal storage unit of the computer device 6 and an external storage device thereof. In this embodiment, the memory 61 is generally used for storing an operating system installed in the computer device 6 and various types of application software, such as computer readable instructions of a multi-scenario based product presentation method. Further, the memory 61 may also be used to temporarily store various types of data that have been output or are to be output.

The processor 62 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is configured to execute the computer readable instructions stored in the memory 61 or process data, for example, execute the computer readable instructions of the multi-scenario based product demonstration method.

The network interface 63 may comprise a wireless network interface or a wired network interface, and the network interface 63 is typically used for establishing a communication connection between the computer device 6 and other electronic devices.

In this embodiment, the steps of the multi-scenario-based product demonstration method according to the above embodiment are implemented when the processor executes the computer readable instructions stored in the memory, and the calculation algorithms corresponding to all demonstration items related in different scenarios are sorted and sequenced, and the calculation models are configured according to the sorting results, so that the different calculation algorithms can be classified and calculated, and meanwhile, the calculation efficiency can be improved by calculating through the configured calculation models.

The present application further provides another embodiment, that is, a computer-readable storage medium is provided, where computer-readable instructions are stored, and the computer-readable instructions can be executed by at least one processor, so that the at least one processor executes the steps of the multi-scenario-based product demonstration method, and classifies and sorts the calculation algorithms corresponding to all demonstration items related in different scenarios, and configures a calculation model according to the classification result, so as to implement classification calculation on different calculation algorithms, and meanwhile, calculate through the configured calculation model, so as to improve calculation efficiency.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. A multi-scene-based product demonstration method is characterized by comprising the following steps:

configuring a calculation model according to the classification result of the calculation algorithm; and

and sequentially calculating the demonstration items according to the calculation sequence by using the calculation model, and summarizing and demonstrating calculation results.

2. The multi-scenario based product demonstration method of claim 1, wherein the step of classifying the calculation algorithm comprises:

3. The multi-scenario based product demonstration method of claim 2, wherein the step of configuring a computational model according to the classification result of the computational algorithm comprises:

4. The multi-scenario based product demonstration method of claim 1, further comprising, after the step of configuring a system computational model according to the classification result of the computational algorithm:

configuring an entry table of the calculation algorithm;

5. The multi-scenario based product demonstration method according to claim 4, wherein the step of configuring the entry table of the calculation algorithm comprises:

6. The multi-scenario based product demonstration method according to any one of claims 1 to 5, wherein the step of using the calculation model to sequentially calculate the demonstration items in the calculation order comprises:

7. The multi-scenario based product demonstration method of claim 6, wherein the step of using the computational model corresponding to the classification result comprises:

8. A multi-scenario based product demonstration apparatus comprising:

9. A computer device comprising a memory having computer readable instructions stored therein and a processor which when executed implements the steps of the multi-scenario based product presentation method of any one of claims 1-7.

10. A computer-readable storage medium, having computer-readable instructions stored thereon, which, when executed by a processor, implement the steps of the multi-scenario based product presentation method of any one of claims 1 to 7.