CN115689477A

CN115689477A - Service scheme generation method and device, computer equipment and storage medium

Info

Publication number: CN115689477A
Application number: CN202211246748.0A
Authority: CN
Inventors: 李馥均; 李晔琳; 戴笑田; 孙芳
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2022-10-12
Filing date: 2022-10-12
Publication date: 2023-02-03

Abstract

The application relates to a business scheme generation method, a business scheme generation device, computer equipment and a storage medium, and relates to the technical field of big data. The method comprises the following steps: acquiring service problem information and service problem parameters, and determining service problems and service classes to which the service problems belong according to the service problem information and the service problem parameters; determining a business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs; processing the service problem and the service subclass by using a service problem solution model to obtain a solution for solving the service problem; and sorting the solution according to a preset scheme template to obtain a service scheme for solving the service problem. The method can improve the accuracy and efficiency of the generation of the service scheme.

Description

Service scheme generation method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of big data technologies, and in particular, to a method and an apparatus for generating a service plan, a computer device, and a storage medium.

Background

When a user faces a business problem, a corresponding business scheme for solving the business problem needs to be generated and fed back to the user according to the business problem. At present, business problems are mainly analyzed manually, so that business schemes for solving the business problems are obtained, time cost is high, and the method depends on manual personal experience, so that different manual solving results of the same problems are easy to cause large differences.

Therefore, the traditional technology has the problems of inaccurate generation of the service scheme and low efficiency.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a business scenario generation method, a business scenario generation apparatus, a computer device, and a storage medium, which can improve the accuracy and efficiency of business scenario generation.

In a first aspect, the present application provides a service plan generating method. The method comprises the following steps:

acquiring service problem information and service problem parameters, and determining service problems and service classes to which the service problems belong according to the service problem information and the service problem parameters;

determining a business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs;

processing the service problem and the service subclass by using a service problem solution model to obtain a solution for solving the service problem;

and arranging the solution according to a preset scheme template to obtain a service scheme for solving the service problem.

In one embodiment, the service problem information includes a service problem picture, and the obtaining of the service problem and the service category to which the service problem belongs according to the service problem information and the service problem parameter includes:

performing character recognition on the service problem picture to obtain a character recognition result;

searching in a preset problem library based on the character recognition result and the service problem parameter to obtain a search result;

and obtaining the service problems and the service classes to which the service problems belong according to the retrieval results.

In one embodiment, the obtaining of the service problem and the service category to which the service problem belongs according to the retrieval result includes:

if the retrieval result is that the service problem and the service class to which the service problem belongs are successfully matched, obtaining the service problem in the retrieval result and the service class to which the service problem belongs;

and if the retrieval result is unsuccessful matching, performing semantic analysis on the character recognition result to obtain a semantic analysis result, and retrieving in the preset problem library according to the semantic analysis result and the service problem parameters to obtain service problems and the service classes to which the service problems belong.

In one embodiment, the processing the business problem and the business subclass by using the business problem solution model to obtain a solution for solving the business problem includes:

determining a solution corresponding to the business subclass from the trained solutions by using a business problem solution model; and matching the business problem with the corresponding solution, and taking the matched solution as a solution for solving the business problem.

In one embodiment, the obtaining manner of the trained solution includes:

obtaining sample data, wherein the sample data comprises a sample service problem and a corresponding service subclass;

for any sample data, a service problem solution model is utilized, a pending solution is determined based on the service processing logic of the service subclass, the pending solution is adopted to solve the sample service problem, if the sample service problem is not solved, the logic processing step of the pending solution is added based on the service processing logic of the service subclass, the updated pending solution is obtained, the step of solving the sample service problem by adopting the pending solution is returned until the sample service problem is solved, and the final pending solution is stored as the solution of the sample service problem obtained by training.

In one embodiment, the determining a pending solution based on the traffic processing logic of the traffic subclass includes:

and if the solution of the sample service problem exists in the trained solution, taking the stored solution of the sample service problem as the solution to be determined.

In one embodiment, the service subclass includes a service protocol and the service processing logic.

In a second aspect, the present application further provides a service scenario generation apparatus. The device comprises:

the problem determining module is used for acquiring service problem information and service problem parameters and determining service problems and service classes to which the service problems belong according to the service problem information and the service problem parameters;

the subclass determining module is used for determining the service subclass to which the service problem belongs according to the service problem and the service class to which the service problem belongs;

the scheme acquisition module is used for processing the service problems and the service subclasses by using a service problem solution model to obtain a solution for solving the service problems;

and the scheme determining module is used for sorting the solution according to a preset scheme template to obtain a service scheme for solving the service problem.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the steps of any of the above methods when the processor executes the computer program.

In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of any of the methods described above.

In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, carries out the steps of any of the methods described above.

The business scheme generation method, the business scheme generation device, the computer equipment and the storage medium obtain the business problems and the business classes to which the business problems belong through the business problem information and the business problem parameters, determine the business subclasses according to the business problems and the business classes to which the business problems belong, process the business problems and the business subclasses by using the business problem solution model to obtain a solution for solving the business problems, and arrange the solution according to a preset scheme template to obtain the business scheme for solving the business problems. Compared with the traditional technology in which the business problem is manually analyzed to obtain inaccurate business scheme and low efficiency, the method and the device have the advantages that the business problem is processed through the business problem solution model, the accuracy and the efficiency of generating the business scheme are improved, the solution is arranged according to the preset scheme template, the generated business scheme for solving the business problem is more standardized, the business problem is positioned through the business problem information and the business problem parameter, and the business problem positioning efficiency is also improved.

Drawings

Fig. 1 is an application environment diagram of a service scenario generation method provided in an embodiment of the present application;

fig. 2 is a schematic flow chart of a service scenario generation method provided in an embodiment of the present application;

FIG. 3 is a diagram illustrating a screenshot of an error question display in one embodiment;

FIG. 4 is a flow diagram illustrating the determination of business problems and the business categories associated therewith, according to an embodiment;

FIG. 5 is a schematic diagram of a business scenario generation system architecture in one embodiment;

FIG. 6 is a schematic diagram of a service plan generation in one embodiment;

fig. 7 is a block diagram of a service scenario generation apparatus provided in an embodiment of the present application;

FIG. 8 is an internal structural diagram of a computer device provided in an embodiment of the present application;

fig. 9 is an internal structural diagram of another computer device provided in the embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The service scheme generation method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The user obtains the service problem information through the terminal 102, inputs the service problem parameters into the terminal 102, and transmits the service problem information and the service problem parameters to the server 104 through the network for processing. The server 104 includes a business problem solution model and a preset problem library, or the data storage system stores the business problem solution model and the preset problem library, the server 104 obtains the business problems and the business classes to which the business problems belong from the preset problem library according to the business problem information and the business problem parameters, obtains the business subclasses to which the business problems belong from the preset problem library according to the business problems and the business classes to which the business problems belong, processes the business problems and the business subclasses by using the business problem solution model to obtain a solution for solving the business problems, and arranges the solution according to a preset scheme template to obtain the business scheme for solving the business problems. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The portable wearable device can be a smart watch, a smart bracelet, and the like. The server 104 may be implemented as a stand-alone server or a server cluster comprised of multiple servers.

In this embodiment, a service plan generating method is provided, and the service plan generating method may be applied to a terminal device. The terminal equipment acquires the service problem information and the service problem parameter, and determines the service problem and the service class to which the service problem belongs according to the service problem information and the service problem parameter; determining a business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs; processing the service problems and the service subclasses by using the service problem solution model to obtain a solution for solving the service problems; and arranging the solution according to a preset scheme template to obtain a service scheme for solving the service problem.

The service scheme generation method can also be applied to a server, the server acquires service problem information and service problem parameters, and determines service problems and service classes to which the service problems belong according to the service problem information and the service problem parameters; determining a service subclass to which the service problem belongs according to the service problem and the service class to which the service problem belongs; processing the service problems and the service subclasses by using the service problem solution model to obtain a solution for solving the service problems; and arranging the solution according to a preset scheme template to obtain a service scheme for solving the service problem. The server may obtain the service problem information and the service problem parameter from the terminal device, or may obtain the service problem information and the service problem parameter in other manners, for example, from a database or other servers.

Fig. 2 is a service scenario generation method provided in this embodiment, and taking application of this method to a terminal device or a server as an example for description, this method includes the following steps:

s201, obtaining the service problem information and the service problem parameter, and determining the service problem and the service class to which the service problem belongs according to the service problem information and the service problem parameter.

The service problem information is information including an error problem occurring when a service is handled, and in some embodiments, the service problem information may be an error prompt information displayed when an error occurs, and the service problem information may be manually input by a user. In other embodiments, the service problem information may also be a service problem picture, which is a picture showing an error problem when handling a service, and may also be a screen shot, or a shot picture showing an error problem, so as to reduce user operations and improve processing efficiency and processing experience. Taking the service problem information as a service problem picture as an example, in some embodiments, the obtained service problem picture is shown in fig. 3, for example, and fig. 3 is a screenshot of a certain error problem display.

The service problem parameter is a parameter related to a service problem and input by a user, and may include information such as an operation purpose and operation content. Taking the error reporting screenshot of fig. 3 as an example, the service problem parameters may include:

the operation purpose is as follows: selling the account;

the operation content is as follows: error reporting by sales counter/smart futong protocol status is abnormal, NTHRSZDI.

The service problem is a problem to be solved which is determined according to the service problem information and the service problem parameter.

The service category is a classification result obtained by dividing all services, and may include, for example, public services, private services, and the like, and is not limited specifically, and any classification result that can divide services may be obtained.

S202, determining the business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs.

Wherein the business subclass is a component that generates solutions to business problems. The business subclass includes business protocols, which are protocols associated with business problems, and business processing logic, which is processing positive logic associated with solving the business problems. Taking the service problem as the example of reporting the error of the public service account, the service protocol comprises a public client protocol and a public client card protocol, and the service processing logic is to open a public account, then sign the public client protocol and finally sign the public client card protocol.

In this embodiment, the manner of determining the business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs may be to perform a search in a preset problem library based on the business problem and the business class to which the business problem belongs, and determine the business subclass to which the business problem belongs based on a search result. The search in the preset problem library may be performed, for example, using a keyword. The preset problem library is set in advance manually, and comprises service problems, service classes and service subclasses.

S203, the business problem and the business subclass are processed by using the business problem solving model, and a solution for solving the business problem is obtained.

Wherein, the business problem solution model is a model for training to obtain a solution. The solution consists of a business subclass.

S204, the solutions are sorted according to the preset solution template to obtain the service solutions for solving the service problems.

In one embodiment, the solutions are arranged according to the preset scheme template by arranging the solutions according to the preset scheme template by using an intelligent text processing tool.

In this embodiment, the generated service schemes can be more standardized by arranging the solutions according to the preset scheme template, and the generated solutions can be more conveniently arranged by using the intelligent text processing tool. Due to the fact that the preset scheme template exists, the generated service scheme is formatted and standard, and the quality of the output service scheme can be guaranteed fundamentally.

The service scheme generation method provided in this embodiment obtains the service problem and the service class to which the service problem belongs through the service problem information and the service problem parameter, determines the service subclass according to the service problem and the service class to which the service problem belongs, processes the service problem and the service subclass by using the service problem solution model to obtain a solution to the service problem, and sorts the solution according to a preset scheme template to obtain a service scheme to solve the service problem. Compared with the traditional technology in which the business problem is manually analyzed to obtain inaccurate business scheme and low efficiency, the method and the device have the advantages that the business problem is processed through the business problem solution model, the accuracy and the efficiency of generating the business scheme are improved, the solution is arranged according to the preset scheme template, the generated business scheme for solving the business problem is more standardized, the business problem is positioned through the business problem information and the business problem parameter, and the business problem positioning efficiency is also improved.

In an embodiment, the service problem information is a service problem picture, and the service problem and the service class to which the service problem belongs are obtained according to the service problem information and the service problem parameter, referring to fig. 4, fig. 4 is a schematic flow diagram for determining the service problem and the service class to which the service problem belongs in an embodiment, and includes the following steps:

s401, character recognition is carried out on the service problem picture, and a character recognition result is obtained.

The text recognition of the service problem picture can be realized in various ways capable of recognizing text in the picture, for example, the service problem picture is recognized through a picture text recognition algorithm, or other methods capable of recognizing text on the picture are available. Wherein, in some embodiments, the picture text recognition algorithm may be an OCR text recognition algorithm.

S402, searching in a preset problem library based on the character recognition result and the service problem parameter to obtain a search result.

In this embodiment, there are various ways to perform the search in the preset problem library by using the text recognition result and the service problem parameter, for example, using the keyword search, taking the service problem picture shown in fig. 3 as an example, using an OCR text recognition algorithm to recognize text "error information: the protocol state of the smart Futong card is abnormal, NTHRSZDI', wherein the keyword is the smart Futong card, and the keyword is used for searching in a preset question bank to obtain a search result.

When determining the keywords in the recognized text recognition result, the keywords may be determined in any possible keyword determination manner, for example, the text recognition result is matched with a preset keyword library, and the keywords matched from the preset keyword library are used as the keywords in the text recognition result.

By carrying out picture character recognition on the business problem pictures, searching is carried out in a preset problem library, the business problems and the business categories to which the business problems belong can be more quickly determined, and the business problem processing efficiency is improved. The problem can be accurately positioned, and the business problem to be solved by a problem proposing person can be accurately positioned, so that a business scheme with stronger pertinence and higher accuracy is subsequently provided for the problem proposing person.

And S403, obtaining the business problems and the business classes to which the business problems belong according to the retrieval results.

In some embodiments, obtaining the service problem and the service category to which the service problem belongs according to the retrieval result may include:

and if the retrieval result is unsuccessful matching, performing semantic analysis on the character recognition result to obtain a semantic analysis result, and retrieving in a preset problem library according to the semantic analysis result and the service problem parameters to obtain the service problems and the service classes to which the service problems belong.

Therefore, after the retrieval result is obtained, whether the retrieval result is successfully matched with the service problem and the service class to which the service problem belongs is determined, if the retrieval result is not successfully matched with the service class, the semantic analysis is carried out on the character recognition result, after the semantic analysis result is obtained, the retrieval is carried out again in the preset problem library based on the semantic analysis result and the service problem parameters, and the accuracy of service problem positioning can be further improved.

For example, in connection with the example shown in fig. 3, the recognized text is "error message: and if the retrieval result obtained by the retrieval is that the public service sales is wrongly reported, the service problem and the service class to which the service problem belongs are considered to be successfully matched. If the retrieval result is that the protocol state of the smart Futong card is abnormal, the service class to which the service problem belongs is not successfully matched, and the word error information is identified: if the protocol state of the smart Futong card is abnormal, performing semantic analysis on NTHRSZDI to obtain semantic analysis results of the smart Futong card and abnormal, and searching again in a preset problem library to obtain the business problems and the business categories to which the business problems belong.

Because the service large category classification is wide, if the service problem and the service large category to which the service problem belongs can not be located through the first retrieval, the semantic recognition result can be further combined for further retrieval, so that the accurate service problem can be retrieved, and the accuracy of the service large category location to which the service problem belongs can be enhanced.

In an embodiment, processing the service problem and the service subclass by using the service problem solution model to obtain a solution for solving the service problem may specifically include:

determining a solution corresponding to the business subclass from the trained solutions by using the business problem solution model; and matching the business problem with the corresponding solution, and taking the matched solution as the solution for solving the business problem.

The business problem solution model may be a model used to determine a solution based on the business problem and the business subclass. The business problem solving model can also be used for training and obtaining the solution obtained by training.

In some embodiments, the trained solutions may be obtained based on the business problem solution model, that is, each trained solution may be obtained during the training process of the business problem solution model, and stored for use in the actual business process.

In some embodiments, the acquisition mode of the trained solution includes:

for any sample data, determining a pending solution by using a service problem solution model and based on the service processing logic of the service subclass, solving the sample service problem by using the pending solution, if the sample service problem is not solved, adding the logic processing step of the pending solution based on the service processing logic of the service subclass, obtaining an updated pending solution, returning to the step of solving the sample service problem by using the pending solution until the sample service problem is solved, and storing the final pending solution as the solution of the sample service problem obtained by training.

In some embodiments, the business problem solution model may employ the XGBoost model. The process of processing the business problems and the business classes by utilizing the XGboost model is a processing logic enhanced in a gradient manner, and a solution for solving the business problems can be quickly and accurately positioned.

Taking a sample service problem as a level 2 service project for error reporting, exemplifying the process of obtaining a solution through XGboost model training: inputting a sample service problem and a service subclass into an XGboost model, firstly, the XGboost model can check whether a first-layer service protocol corresponding to the 2-level service project is provided with a required authority according to a service processing logic suggestion of the service subclass, if the first-layer service protocol is not provided with the required authority, the authority required for providing the first-layer service protocol is used as a pending solution, and if the sample service problem is solved through the pending solution, the pending solution is used as a final solution and is stored; if the corresponding first-layer service protocol opens the authority, the sample service problem is not solved, then the service processing logic based on the service subclass proposes to check whether the bottom-layer protocol corresponding to the 2-level service item opens the authority, if the bottom-layer protocol does not open the authority, the 2-level service item is reported in error possibly caused by the fact that the bottom-layer protocol does not open the authority, the authority of opening the bottom-layer protocol is used as a solution of the sample service problem to update the solution to be determined, and if the sample service problem is solved through the updated solution to be determined, the updated solution to be determined is used as a final solution and stored.

In some embodiments, determining a pending solution based on traffic processing logic of a traffic subclass comprises: and if the solution obtained by training has the solution of the sample service problem, taking the stored solution of the sample service problem as the solution to be determined. The solutions obtained by training are stored, so that the undetermined solutions can be more quickly positioned when the same sample service problem is met, and the generation efficiency of the service solutions is improved.

Based on the service plan generating method in the embodiment of the present application, detailed examples are given below with reference to an application process in a specific embodiment.

In the implementation process of the embodiment of the present application, the implementation can be realized by a system architecture as shown in fig. 5. The business scheme generation system comprises a problem receiving layer, a problem processing layer and a scheme generation layer, wherein the problem receiving layer is used for acquiring business problem information and business problem parameters and determining business problems and business classes to which the business problems belong according to the business problem information and the business problem parameters; the problem processing layer is used for determining a business subclass to which the business problem belongs according to the business problem and the business class to which the business problem belongs, and processing the business problem and the business subclass by using a business problem solving model to obtain a solution for solving the business problem; the scheme generation layer is used for sorting the solution according to a preset scheme template to obtain a service scheme for solving the service problem.

The problem receiving layer comprises an OCR character recognition module and a service large-class database, wherein the OCR character recognition module is used for recognizing service problem information through an OCR character recognition algorithm, and the service large-class database is used for storing service large classes; the problem processing layer comprises a business subclass database and a business problem solving model (the business problem solving model is realized through an XGboost model in the figure for example, the business problem solving model is explained), the business subclass database is used for storing business subclasses, and the XGboost model is used for processing business problems and the business subclasses; the scheme generation layer comprises a preset scheme template, and the preset scheme template is used for sorting the solution.

In fig. 5, the business scenario generation system further includes a common component for coordinating data transmission between the problem reception layer, the problem processing layer, and the scenario generation layer, and managing the business scenario generation system. The public component comprises, for example, an authority control component for controlling control authorities of different users, such as controlling a website teller to have authority to inquire and ask business questions, controlling a product manager to have authority to assign business questions and assigning authority to answer business questions. The preset problem database comprises a business major database and a business minor database.

Before the scheme of the embodiment of the application is implemented specifically, a business problem solution model needs to be trained. Before training the business problem solution model, sample data needs to be acquired and training is performed based on the sample data.

The number of the obtained sample data is not limited, each sample data comprises a sample service problem and a corresponding service subclass, the sample service problem in the sample data can be a service problem generated in actual life, the corresponding service subclass can be obtained from a service subclass database, and the sample data is stored in a server or a data storage system for training a service problem solution model.

After a plurality of pieces of sample data are obtained, the business problem solving model can be trained based on the sample data. The specific training process may be as follows.

And inputting the sample service problem and the corresponding service subclass of each sample datum into the service problem solution model, and processing the sample service problem and the corresponding service subclass by the service problem solution model to determine a solution to be determined. The service problem solving model can be used for obtaining the characteristics of the sample service problem and the characteristics of the corresponding service subclass, matching the characteristics of the sample service problem and the characteristics of the service subclass to obtain the service subclass corresponding to the sample service problem, and determining the solution to be determined based on the service processing logic of the service subclass. And then solving the sample service problem by adopting an undetermined solution, if the sample service problem is not solved, adding a logic processing step of the undetermined solution based on the service processing logic of the service subclass to obtain an updated undetermined solution, returning to the step of solving the sample service problem by adopting the undetermined solution until the sample service problem is solved, taking the final undetermined solution as a solution of the sample service problem obtained by training, and outputting the solution for solving the sample service problem.

The obtaining method of the features of the sample business problem may be performed in any possible manner, for example, by extracting information features of characters of the sample business problem, specifically, the information features of all characters of the sample business problem, or features of keywords and relationships between the keywords in the sample business problem, it may be understood that the features of the sample business problem may also be obtained in other manners. The acquisition of the characteristics of the traffic subclasses can be performed in the same manner as the acquisition of the characteristics of the sample traffic problem.

After the training of the business problem solving model is finished, the business problem solving model can be put into a specific using process.

When the method is used specifically, the service problem information and the service problem parameter are obtained, and the service problem and the service class to which the service problem belongs are determined according to the service problem information and the service problem parameter.

Taking the service problem information as a service problem picture as an example, acquiring the service problem picture as shown in fig. 3, inputting service problem parameters, inputting an operation target account, inputting an operation content account error reporting/intelligent rich card protocol state abnormal, and performing NTHRSZDI;

using OCR character recognition algorithm to recognize the picture character of figure 3, recognizing the character error information: the method comprises the following steps that (1) if the intelligent Futong card protocol is abnormal, NTHRSZDI, the recognized characters and the input service problem parameters are used for searching in a preset problem library, the obtained service problem is the error report of the public service account, and the service class to which the service problem belongs is the public service;

based on the business problems and the business categories to which the business problems belong, searching public businesses and sales error in a preset problem library by using keywords, and determining the business categories to which the business problems belong based on a search result; the service subclass comprises a service protocol and service processing logic; the service protocol comprises a public client protocol and a public client card protocol, and the service processing logic is to open a public account, then sign the public client protocol and finally sign the public client card protocol;

processing the service problems and the service subclasses by using the service problem solution model to obtain a solution for solving the service problems; inputting the service problem and the service subclass into a service problem solving model, and outputting a solution for solving the service problem by the service problem solving model; the solution is to check whether to terminate the protocol to the public client card first, and then check whether to terminate the protocol to the public client;

specifically, as shown in fig. 6, fig. 6 is a schematic diagram generated by the service scheme in an embodiment, and fig. 6 shows a preset scheme template, which includes an operation purpose account and an operation problem error: the method comprises the following steps of providing a public client agreement, wherein the public client agreement is 0001, the public client is a general class of an attribution service, an attribution product is a public client card, the problem attribution operation problem is solved, positive logic is solved, a public account is opened firstly, then the public client agreement is signed, finally the public client card agreement is signed, and the solution step is to terminate the public client card agreement firstly: confirming that all card agreements are terminated to be effective, terminating the agreement on the public client, and terminating the agreement on the public client: the sub-agreements signed by all account numbers and member account numbers under the agreement are required to be invalidated and take effect, the agreement is allowed to be terminated, and the public account can be cancelled at last: and ensuring that no agreement exists under the public account.

When the method is used specifically, the new business problems and solutions can be used as new sample data, and the new sample data is used for training the business problem solution model so as to update the business problem solution model.

According to the business scheme generation method, the business problems are processed through the business problem solving model, and the accuracy and the efficiency of business scheme generation are improved. Through carrying out picture word recognition on the business problem picture, searching in a preset problem library can help to determine the business problem and the business class to which the business problem belongs more quickly, the processing efficiency of the business problem is improved, and the solution is arranged according to a preset scheme template, so that the generated business scheme for solving the business problem is more standardized, and the generated solution can be arranged more conveniently by using an intelligent text processing tool. The method for generating the service scheme can improve the efficiency of generating the service scheme for correspondingly solving the service problem when the user generates the service problem, and can realize the intelligent generation of the content of the service scheme without manual intervention or a small amount of manual intervention in most application environments; due to the existence of the preset scheme template, the generated service scheme has formatting and is more standard, and the quality of the output service scheme can be ensured fundamentally; the method can accurately position the service problem to be solved by a problem proposition person, and further provides a service scheme with stronger pertinence and higher accuracy for the problem proposition person; the business problem solution model can be updated, the applicability of the model can be ensured, and the accuracy of generating the business scheme is improved.

It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application further provides a service plan generating device for implementing the service plan generating method mentioned above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the service scheme generation device provided below may refer to the limitations of the service scheme generation method in the foregoing, and details are not described here.

Referring to fig. 7, fig. 7 is a block diagram of a service scenario generation apparatus provided in this embodiment, where the apparatus 700 includes: a problem determination module 701, a subclass determination module 702, a scheme acquisition module 703 and a scheme determination module 704, wherein:

the problem determining module 701 is used for acquiring the service problem information and the service problem parameters, and determining the service problems and the service categories to which the service problems belong according to the service problem information and the service problem parameters;

a subclass determining module 702, configured to determine a service subclass to which the service problem belongs according to the service problem and a service major to which the service problem belongs;

a scheme obtaining module 703, configured to process the service problem and the service subclass by using the service problem solution model, and obtain a solution for solving the service problem;

and the scheme determining module 704 is configured to sort the solutions according to the preset scheme template to obtain a service scheme for solving the service problem.

The service scheme generating device provided in this embodiment obtains, by the problem determining module, the service problem information and the service problem parameter to obtain the service problem and the service class to which the service problem belongs, determines, by the subclass determining module, the service subclass according to the service problem and the service class to which the service problem belongs, processes, by the scheme obtaining module, the service problem and the service subclass by using the service problem solution model to obtain a solution to solve the service problem, and arranges, by the scheme determining module, the solution according to the preset scheme template to obtain the service scheme to solve the service problem. Compared with the traditional technology in which the business problem is manually analyzed to obtain inaccurate business scheme and low efficiency, the method and the device have the advantages that the business problem is processed through the business problem solution model, the accuracy and the efficiency of generating the business scheme are improved, the solution is arranged according to the preset scheme template, the generated business scheme for solving the business problem is more standardized, the business problem is positioned through the business problem information and the business problem parameter, and the business problem positioning efficiency is also improved.

Optionally, the problem determining module 701 includes:

the character recognition unit is used for recognizing characters of the service problem pictures to obtain character recognition results, wherein the service problem information comprises the service problem pictures;

the retrieval unit is used for retrieving in a preset problem library based on the character recognition result and the service problem parameters to obtain a retrieval result;

and the problem determining unit is used for obtaining the service problems and the service classes to which the service problems belong according to the retrieval results.

Optionally, the problem determination unit includes:

the successful matching subunit is used for acquiring the service problems in the retrieval result and the service categories to which the service problems belong if the retrieval result is that the service problems and the service categories to which the service problems belong are successfully matched;

and the unsuccessful matching subunit is used for performing semantic analysis on the character recognition result to obtain a semantic analysis result if the retrieval result is unsuccessful matching, and retrieving in a preset problem library according to the semantic analysis result and the service problem parameters to obtain the service problems and the service classes to which the service problems belong.

Optionally, the scheme acquiring module 703 includes:

the scheme matching unit is used for determining a solution corresponding to the business subclass from the trained solutions by utilizing the business problem solution model; and matching the business problem with the corresponding solution, and taking the matched solution as a solution for solving the business problem.

Optionally, the apparatus 700 further includes:

the system comprises a sample acquisition module, a service classification module and a service classification module, wherein the sample acquisition module is used for acquiring sample data, and the sample data comprises a sample service problem and a corresponding service subclass;

the training module is used for determining an undetermined solution for any sample data by utilizing a service problem solution model based on service processing logic of a service subclass, solving the sample service problem by adopting the undetermined solution, if the sample service problem is not solved, adding logic processing steps of the undetermined solution based on the service processing logic of the service subclass, obtaining an updated undetermined solution, returning to the step of solving the sample service problem by adopting the undetermined solution until the sample service problem is solved, and storing the final undetermined solution as the solution of the sample service problem obtained by training.

Optionally, the training module includes:

and the training unit is used for taking the stored solution of the sample service problem as the solution to be determined if the solution of the sample service problem exists in the solutions obtained by training.

Optionally, the service subclass includes a service protocol and service processing logic.

The modules in the service plan generating apparatus may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 8. The computer device includes a processor, a memory, an Input/Output interface (I/O for short), and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing business subclasses, business problem solving models and preset scheme template data. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a business scenario generation method.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer apparatus includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input device. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a business scenario generation method. The display unit of the computer device is used for forming a visual picture and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the configurations shown in fig. 8 and 9 are merely block diagrams of portions of configurations related to aspects of the present application, and do not constitute limitations on the computing devices to which aspects of the present application may be applied, as particular computing devices may include more or fewer components than shown, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the service plan generating method provided in the foregoing embodiment when executing the computer program:

determining a service subclass to which the service problem belongs according to the service problem and the service class to which the service problem belongs;

processing the service problems and the service subclasses by using the service problem solution model to obtain a solution for solving the service problems;

In one embodiment, the processor, when executing the computer program, further performs the steps of:

the service problem information comprises a service problem picture, and the service problem picture is subjected to character recognition to obtain a character recognition result;

determining a solution corresponding to the business subclass from the trained solutions by using the business problem solution model; and matching the business problem with the corresponding solution, and taking the matched solution as a solution for solving the business problem.

acquiring sample data, wherein the sample data comprises a sample service problem and a corresponding service subclass;

and if the sample service problem is not solved, based on the service processing logic of the service subclass, adding a logic processing step of the undetermined solution to obtain an updated undetermined solution, returning to the step of solving the sample service problem by adopting the undetermined solution until the sample service problem is solved, and storing the final undetermined solution as a solution of the sample service problem obtained by training.

and if the solution of the sample service problem exists in the trained solution, taking the stored solution of the sample service problem as a solution to be determined.

the service subclass includes service protocols and service processing logic.

The implementation principle and technical effect of the above embodiment are similar to those of the above method embodiment, and are not described herein again.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the service plan generation method provided by the above embodiment:

In one embodiment, the computer program when executed by the processor further performs the steps of:

retrieving in a preset problem library based on the character recognition result and the service problem parameters to obtain a retrieval result;

and if the solution obtained by training has the solution of the sample service problem, taking the stored solution of the sample service problem as the solution to be determined.

the service subclass includes service protocols and service processing logic.

In one embodiment, a computer program product is provided, which comprises a computer program, when executed by a processor, the computer program implements the steps of the business scenario generation method provided by the above-mentioned embodiment:

if the retrieval result is that the business problem and the business class to which the business problem belongs are successfully matched, obtaining the business problem in the retrieval result and the business class to which the business problem belongs;

the service subclass includes service protocols and service processing logic.

It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) referred to in the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the relevant laws and regulations and standards of the relevant countries and regions.

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 instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include a Read-Only Memory (ROM), a magnetic tape, a floppy disk, a flash Memory, an optical Memory, a high-density embedded nonvolatile Memory, a resistive Random Access Memory (ReRAM), a Magnetic Random Access Memory (MRAM), a Ferroelectric Random Access Memory (FRAM), a Phase Change Memory (PCM), a graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.

All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for generating a service plan, the method comprising:

2. The method of claim 1, wherein the service problem information includes a service problem picture, and the obtaining of the service problem and the service category to which the service problem belongs according to the service problem information and the service problem parameter comprises:

3. The method according to claim 2, wherein the obtaining of the service problem and the service category to which the service problem belongs according to the retrieval result comprises:

and if the retrieval result is unsuccessful matching, performing semantic analysis on the character recognition result to obtain a semantic analysis result, and retrieving in the preset problem library according to the semantic analysis result and the service problem parameters to obtain a service problem and a service class to which the service problem belongs.

4. The method of claim 1, wherein the processing the business problem and the business subclass using a business problem solution model to obtain a solution for solving the business problem comprises:

5. The method of claim 4, wherein the obtaining of the trained solution comprises:

6. The method of claim 5, wherein determining the pending solution based on the traffic processing logic of the traffic subclass comprises:

and if the solution of the sample service problem exists in the trained solutions, taking the stored solution of the sample service problem as the solution to be determined.

7. The method of claim 5, wherein the service subclass includes service protocols and the service processing logic.

8. An apparatus for generating a service plan, the apparatus comprising:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.

11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.