CN112863506A - Service information acquisition method and device, computer equipment and readable storage medium - Google Patents
Service information acquisition method and device, computer equipment and readable storage medium Download PDFInfo
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- CN112863506A CN112863506A CN202011605086.2A CN202011605086A CN112863506A CN 112863506 A CN112863506 A CN 112863506A CN 202011605086 A CN202011605086 A CN 202011605086A CN 112863506 A CN112863506 A CN 112863506A
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The application belongs to the technical field of data acquisition and provides a service information acquisition method, a service information acquisition device, computer equipment and a computer readable storage medium. The preset AI intelligent robot image is started by responding to a handling instruction of a preset service handled by a user, based on the preset AI intelligent robot image, preset node card information contained in a preset service flow corresponding to the preset service is broadcasted, so that the user inputs corresponding voice feedback information according to the preset node card information, the voice feedback information is received, voice recognition is carried out on the voice feedback information, a target file corresponding to the preset node card information is obtained, the target file is filled into a preset service handling form corresponding to the preset service flow, service information corresponding to the preset service is collected, the efficiency of handling the service in a guide type scene and a conversation type scene by the user can be improved, and the service efficiency and the service quality of self-service are improved.
Description
Technical Field
The present application relates to the field of data acquisition technologies, and in particular, to a method and an apparatus for acquiring service information, a computer device, and a computer-readable storage medium.
Background
In a traditional financial client service system, a client needs to face complex, tedious and fussy forms filling, identity confirmation, bank docking and other processes, menu prompts need to be acquired layer by layer in the process, then key operation is carried out step by step according to guidance, and a user can obtain service, so that the process of transacting business by the client is too complex, and the efficiency of transacting business by the financial client is reduced. For example, in a traditional customer loan service system, a customer needs to face complex, lengthy and tedious process flows such as form filling, identity confirmation, bank docking and the like, the process flow needs to acquire menu prompts layer by layer, and then the customer can obtain services by conducting key operation step by step according to guidance, so that the process flow of the customer handling business is too complex, and meanwhile, the customer cannot acquire convenient self-service services, so that the difficulty of popularization of online business is high, the pressure of offline business workers is high, the operation cost is high, and the operation efficiency is reduced.
Disclosure of Invention
The application provides a business information acquisition method, a business information acquisition device, computer equipment and a computer readable storage medium, which can solve the technical problem that in the prior art, when a user performs self-service, the efficiency of acquiring the business information of the user is low.
In a first aspect, the present application provides a method for acquiring service information, including: responding to a handling instruction of a user for handling a preset service, and starting a preset AI intelligent robot image; based on the preset AI image, broadcasting preset node card information contained in a preset service flow corresponding to the preset service so that the user inputs corresponding voice feedback information according to the preset node card information; receiving the voice feedback information, and performing voice recognition on the voice feedback information to obtain a target file corresponding to the preset node card information; and filling the target file into a preset service handling form corresponding to the preset service flow so as to collect service information corresponding to the preset service.
In a second aspect, the present application further provides a service information collecting apparatus, including: the starting unit is used for responding to a handling instruction of a user handling a preset service and starting a preset AI intelligent robot image; the broadcasting unit is used for broadcasting preset node card information contained in a preset service flow corresponding to the preset service based on the preset AI image so that the user inputs corresponding voice feedback information according to the preset node card information; the recognition unit is used for receiving the voice feedback information and carrying out voice recognition on the voice feedback information so as to obtain a target file corresponding to the preset node card information; and the acquisition unit is used for filling the target file into a preset business handling form corresponding to the preset business flow so as to acquire the business information corresponding to the preset business.
In a third aspect, the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the service information acquisition method when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the processor executes the steps of the service information collection method.
The application provides a service information acquisition method, a service information acquisition device, computer equipment and a computer readable storage medium. The method starts the preset AI intelligent robot image by responding to the handling instruction of the preset service handled by the user, broadcasts the preset node card information contained in the preset service flow corresponding to the preset service based on the preset AI intelligent robot image, so that the user inputs the corresponding voice feedback information according to the preset node card information, receives the voice feedback information, performs voice recognition on the voice feedback information to obtain the target file corresponding to the preset node card information, fills the target file into the preset service handling form corresponding to the preset service flow to acquire the service information corresponding to the preset service, and compared with the traditional technology that the user needs to fill in complicated, lengthy and fussy page forms to perform service handling flows such as identity confirmation, bank docking and the like, in the embodiment of the application, the preset node card information contained in the preset business process is adopted, the preset AI intelligent robot image is combined, the user is guided to carry out business information acquisition on the preset business process corresponding to the preset business in a voice interaction mode, the user business is processed, the efficiency of handling the business in a guide type scene and a conversation type scene by the user can be improved in a high-frequency and complex multi-round conversation scene, the service efficiency and the service quality of self-service are improved, the operation efficiency of the self-service is improved, and the operation cost of the business is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a service information acquisition method according to an embodiment of the present application;
fig. 2 is a schematic view of a first sub-flow of a service information collection method according to an embodiment of the present application;
fig. 3 is a second sub-flow diagram of a service information collection method according to an embodiment of the present application;
fig. 4 is a third sub-flow diagram of a service information acquisition method according to an embodiment of the present application;
fig. 5 is a fourth sub-flow diagram of a service information collection method according to an embodiment of the present application;
fig. 6 is a fifth sub-flow diagram of a service information collection method according to an embodiment of the present application;
fig. 7 is a schematic block diagram of a service information acquisition apparatus according to an embodiment of the present application; and
fig. 8 is a schematic block diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Referring to fig. 1, fig. 1 is a schematic flow chart of a service information collection method according to an embodiment of the present application. As shown in FIG. 1, the method includes the following steps S11-S14:
and S11, responding to a handling instruction of a user for handling the preset service, and starting a preset AI intelligent robot image.
Specifically, in the embodiment of the application, an AI intelligent robot image is preset, when a user handles a preset service, the preset service can be handled through voice starting, and when a computer device receives a handling instruction of the preset service handled by the user, the preset AI intelligent robot image is started in response to the handling instruction of the preset service handled by the user.
And S12, based on the preset AI image, broadcasting preset node card information contained in a preset service flow corresponding to the preset service, so that the user inputs corresponding voice feedback information according to the preset node card information.
Specifically, a corresponding preset service flow is set for handling a preset service, the preset service flow includes a plurality of nodes, each node organizes corresponding node information in a card form, the node information is preset node card information, for example, when handling a preset service, if the preset service includes five nodes ABCDE, a node is node information inquiring what service is handled by a user, a node B is node information starting the service flow, a node C, a node D and a node E are respectively collected item by item of specific service contents handled by the service set in the service flow, for example, personal data such as a name, an identification number and a password of the user, and each node ABCDE respectively constructs a node information card corresponding to the node in a card form. After the preset AI intelligent robot image is started, the preset AI intelligent robot image guides a user to conduct service handling in a voice broadcasting mode, the preset AI intelligent robot image broadcasts preset node card information contained in a preset flow of the service handling, for example, the user broadcasts node card information corresponding to the A node, the user inputs corresponding feedback information according to the node card information corresponding to the A node, after the computer device receives the confirmation feedback information of the user, if the confirmation information judges that no abnormity exists, the node card information corresponding to the B node is broadcasted, the user inputs corresponding feedback information according to the node card information corresponding to the B node, after the computer device receives the feedback information of the user again, if the feedback information is confirmed again that no abnormity exists, the node card information corresponding to the C node is broadcasted again, and circulating the broadcasting process until the ABCDE node is broadcasted, namely processing the preset service flow of the preset service of the user. Compare through graphical interface guide mode among the conventional art, in this application embodiment, carry out the collection of business information through the interactive guide mode of pronunciation, help the user to create more immersive flow experience, can make the user be absorbed in the operation before the eye more, it is higher to absorb in the degree, because it is the key that operating efficiency promoted to absorb in the degree to can improve the collection efficiency of business information.
And S13, receiving the voice feedback information, and performing voice recognition on the voice feedback information to obtain a target file corresponding to the preset node card information.
Specifically, in this embodiment of the application, when a preset AI intelligent robot avatar processing user handles a preset service flow corresponding to a preset service, preset node card information included in the preset service flow corresponding to the preset service is broadcasted in a voice broadcasting manner, the user inputs voice feedback information corresponding to the preset node card information in a voice manner through a preset audio input device such as a microphone, for example, if the preset node card information is a name of an inquiring user, the user directly speaks his name in a voice manner to feed back the preset node card information, and a computer device receives the voice feedback information and performs voice recognition on the voice feedback information to obtain a target document corresponding to the preset node card information.
And S14, filling the target file into a preset business handling form corresponding to the preset business process so as to collect business information corresponding to the preset business.
Specifically, a corresponding preset service handling form is set for each preset service flow to collect service information of the user information involved in the preset service flow, for example, the preset service handling form may include service information such as a service name, a user gender, an identification number, a mobile phone number, and a verification code of the preset service handled by the user. The computer equipment performs voice recognition on voice feedback information of a user through voice recognition to obtain a target document corresponding to the preset node card information, and then fills the target document to a corresponding preset position in the preset service handling form, for example, fills a user name to a corresponding preset position after a name column in the preset service handling form, and fills a mobile phone number of the user to a corresponding preset position after a mobile phone number column in the preset service handling form, so as to collect service information corresponding to the preset service. And after the business information contained in the preset business handling form is collected, the business information of the user is checked so as to perform subsequent business handling on the business handled by the user until the business handling is successful or the business handling is failed, so that a business handling result corresponding to the business handled by the user is obtained.
In the embodiment of the application, a preset AI intelligent robot image is started in response to a handling instruction of a preset service handled by a user, preset node card information contained in a preset service flow corresponding to the preset service is broadcasted based on the preset AI intelligent robot image, so that the user inputs corresponding voice feedback information according to the preset node card information, receives the voice feedback information, performs voice recognition on the voice feedback information to obtain a target document corresponding to the preset node card information, fills the target document into the preset service handling form corresponding to the preset service flow to acquire service information corresponding to the preset service, and compared with the traditional technology that the user needs to fill in a complicated, lengthy and cumbersome page form to perform service handling flows such as identity confirmation, bank docking and the like, in the embodiment of the application, the preset node card information contained in the preset business process is adopted, the preset AI intelligent robot image is combined, the user is guided to carry out business information acquisition on the preset business process corresponding to the preset business in a voice interaction mode, the user business is processed, the efficiency of handling the business in a guide type scene and a conversation type scene by the user can be improved in a high-frequency and complex multi-round conversation scene, the service efficiency and the service quality of self-service are improved, the operation efficiency of the self-service is improved, and the operation cost of the business is reduced.
Referring to fig. 2, fig. 2 is a schematic view of a first sub-flow of a service information collection method according to an embodiment of the present application. As shown in fig. 2, in this embodiment, the step of reporting, based on the preset AI intelligent robot image, preset node card information included in a preset service flow corresponding to the preset service, so that a user inputs corresponding voice feedback information according to the preset node card information includes:
s21, acquiring a preset service identifier corresponding to the preset service through voice recognition based on the preset AI image;
s22, acquiring a preset service handling process corresponding to the preset service identifier according to the preset service identifier;
and S23, broadcasting the preset node card information according to the preset broadcasting sequence corresponding to the preset node card information contained in the preset transaction flow according to the preset transaction flow, so that a user inputs corresponding voice feedback information according to the preset node card information.
Specifically, the preset service flow corresponding to the preset service comprises a plurality of nodes, each node has corresponding preset node card information, the preset service flow also comprises a plurality of preset node card information, and a corresponding preset broadcast sequence is set for each preset node card information. For example, in a preset business process example, a name node, an identity card number node and a verification code node of a user exist, business information such as the name, the identity card number and the verification code of the user is sequentially acquired, a preset AI intelligent robot image broadcasts name node card information of the user first, then broadcasts identity card number node card information of the user after the name of the user is acquired, then broadcasts verification code node card information of the user after the identity card number of the user is acquired, then acquires the verification code of the user, and the like, and broadcasting of the preset node card information is performed according to the preset broadcasting sequence. Starting a preset AI intelligent robot image, inquiring about what service is transacted by a user in a voice mode based on the preset AI intelligent robot image, obtaining the preset service transacted by the user through voice recognition after obtaining voice feedback information of the service transacted by the user, obtaining a preset service identifier corresponding to the preset service according to the preset service transacted by the user, wherein the preset service identifier can be a service identifier corresponding to the preset service, such as a service name or a service number, and the like, according to the preset service identifier, combining a matching relationship between the preset service identifier and the preset service transaction process, obtaining the preset service transaction process corresponding to the preset service identifier, wherein the preset service transaction process comprises a plurality of nodes, each node corresponds to preset node card information, and then according to the preset transaction process, and broadcasting the preset node card information according to a preset broadcasting sequence corresponding to the preset node card information contained in the preset transaction process so that a user inputs corresponding voice feedback information according to the preset node card information.
In the embodiment of the application, based on preset node card information and voice interaction, especially in high-frequency and complex guidance-type and conversation-type scenes, aiming at the data storage design of multi-round conversation capability and node card information corresponding to the nodes and the nodes, because the operation cost of human-computer interaction for transacting preset services by a user is lower, the advantage of faster voice interaction can be better fully exerted by fully exerting the usability of the voice interaction in the guidance-type and conversation-type scenes, so that the acquisition efficiency of the service information of the user can be improved, the service information acquisition method can be applied to a conversation management system of intelligent customer service, so that an intelligent voice interaction customer service system is realized, the intelligent voice interaction customer service system guides the user to operate through an AI intelligent artificial seat, and acquires available information of the user through asking and receiving answers, the system helps users to save a series of complicated manual operation processes, thereby improving the efficiency of self-service business handling of the users and improving the service efficiency and the service quality of self-service. For example, the interface operations such as originally complicated, tedious and fussy form filling take 5-10 minutes, and the user is still easy to have misoperation, through the voice interaction of the embodiment of the application, the user can shorten the flow of several minutes to the level of second, so that the user can be liberated of both hands, the user can efficiently and quickly achieve the aim, the product is helped to improve the service quality, the customer satisfaction is improved, the service volume is increased, the longer the service flow is, the more repeated operations are saved through the voice interaction, the more obvious the advantage of the embodiment of the application is, the voice interaction can gradually replace the visual interaction in more self-service scenes or be combined with the visual interaction to enable the visual interaction, and therefore the efficiency and the quality of the service are improved.
Referring to fig. 3, fig. 3 is a schematic view of a second sub-flow of a service information collection method according to an embodiment of the present application. As shown in fig. 3, in this embodiment, before the step of receiving the voice feedback information, the method further includes:
s31, judging whether the preset node card information has a breakpoint or not;
s32, if the preset node card information has no breakpoint, executing the step of receiving the voice feedback information;
and S33, if the preset node card information has a breakpoint, not executing the step of receiving the voice feedback information.
For example, when a user binds a bank card, the user clicks a confirmation button after inputting a card number page and inputting the card number page is completed, and a bank can send a short message verification code to a mobile phone number bound by the bank card of the user, so as to verify that the user does not input the verification code when verifying all rights of the user to the bank card, which results in failure of the binding process, and the process is the breakpoint of the user card binding.
Specifically, based on the preset AI intelligent robot image, preset node card information included in a preset service flow corresponding to the preset service is reported, so that a user inputs corresponding voice feedback information according to the preset node card information, and whether the voice feedback information corresponding to the preset node card information is normally input by the user can be judged by judging whether the preset node card information has a breakpoint or not, for example, whether the voice feedback information input by the preset node card information is received within a preset time threshold or not, if the voice feedback information input by the preset node card information is received within the preset time threshold, it is judged that the preset node card information has no breakpoint or not, if the voice feedback information input by the preset node card information is not received within the preset time threshold, judging that the preset node card information has a breakpoint, if the preset node card information does not have a breakpoint, executing the step of receiving the voice feedback information, and if the preset node card information has a breakpoint, not executing the step of receiving the voice feedback information, prompting a user to input the voice feedback information corresponding to the preset node card information, or directly ending a service information acquisition flow, so as to ensure the safety of handling services by the user in an unexpected situation.
In an embodiment, after the step of filling the target document into a preset service transaction form corresponding to the preset service process, the method further includes:
and updating the node card state of the node corresponding to the preset node card information.
And the node card state is the state of information acquisition corresponding to the node card when the node card is adopted by the service processing node contained in the preset service flow corresponding to the preset service to store node information data. For example, in a loan service, a user needs to borrow money through real-name authentication, credit investigation authorization, bank card binding, contact person adding, insurance application, underwriting and other behaviors, the behaviors are ordered nodes one by one, each node stores information data of the node in a card form, each node is just like a card, and the user can enter the next operation after completing information input and confirmation of one card, so that the node card is called a node card. The node card may have four states, respectively, not started, in progress, completed, and failed to collect.
Specifically, the preset service flow corresponding to the preset service includes a plurality of nodes, each node stores node data in the form of a node card, and for each node card, a state corresponding to the node card is set for describing a state of acquiring service information corresponding to the node, and the node card may have four states, which are respectively un-started, in-process, completed, and failed to acquire, and is not started for describing that information of the node card corresponding to the node card is not started to acquire, and is in-process for describing that information of the node card corresponding to the node card is being acquired, and is completed for describing that information of the node card corresponding to the node card is completed to acquire, and the failure to acquire is used for describing that information of the node card corresponding to the node card is not successfully acquired. And for all the preset node card information contained in the preset business process, updating the node card state of the node corresponding to the preset node card information to be in-process, completed or failed acquisition according to the acquisition state of acquiring each preset node card information.
Referring to fig. 4, fig. 4 is a schematic view of a third sub-flow of a service information collection method according to an embodiment of the present application. As shown in fig. 4, in this embodiment, after the step of updating the node card state of the node corresponding to the preset node card information, the method further includes:
s41, judging whether the node card state of the node corresponding to the preset node card information is finished or not;
s42, if the node card state of the node corresponding to the preset node card information is finished, acquiring next preset node card information corresponding to the preset node card information;
and S43, if the node card state of the node corresponding to the preset node card information is not finished, not collecting the next preset node card information corresponding to the preset node card information.
Specifically, a node card state is set for a node corresponding to the preset node card information, the progress of collecting the preset node card information is judged according to the node card state, whether the node card state of the node corresponding to the preset node card information is completed or not is judged, if the node card state of the node corresponding to the preset node card information is completed, next preset node card information corresponding to the preset node card information is collected according to a preset broadcast sequence corresponding to the preset node card information included in the preset business process flow, if the node card state of the node corresponding to the preset node card information is not completed, the next preset node card information corresponding to the preset node card information is not collected, and the collection of the current preset node card information is continuously processed, therefore, the progress of the business information acquisition is judged according to the node card state of the node corresponding to the preset node card information, and the business information acquisition state can be accurately judged.
Referring to fig. 5, fig. 5 is a schematic view of a fourth sub-flow of a service information collection method according to an embodiment of the present application. As shown in fig. 5, in this embodiment, after the step of updating the node card state of the node corresponding to the preset node card information, the method further includes:
s51, judging whether the node card states corresponding to all the preset node card information are finished or not;
s52, if the node card states corresponding to all the preset node card information are all finished, ending the collection of the service information;
and S53, if the node card states corresponding to all the preset node card information are not finished, continuing to execute the step of broadcasting the preset node card information contained in the preset service flow corresponding to the preset service.
Specifically, a node card state is set for a node corresponding to the preset node card information, the progress of collecting the preset node card information is judged according to the node card state, and then the state of collecting the service information can be judged according to all the node card states, that is, whether all the node card states corresponding to the preset node card information are all completed or not is judged, if all the node card states corresponding to the preset node card information are all completed, the service information collection is completed, the process of collecting the service information is finished, the process can be twisted according to the processing process of the actual service, for example, a page is submitted to a back-end service to be twisted, so as to process the next stage of the service, for example, in the loan service, according to the collected user service information, and checking whether the loan application of the user is passed or not, if all the user service information conforms to the preset conditions, passing the loan application of the user, and if not, rejecting the loan application of the user. If the node card states corresponding to all the preset node card information are not finished, the service information collection is not finished, and the step of broadcasting the preset node card information contained in the preset service flow corresponding to the preset service is continuously executed.
In an embodiment, the broadcasting preset node card information included in a preset service flow corresponding to the preset service, so that before the step of inputting corresponding voice feedback information according to the preset node card information by a user, the method further includes:
judging whether user information data corresponding to the preset node card information is preset confidential information or not;
if the user information data corresponding to the preset node card information is preset confidential information, based on the preset AI intelligent robot image, broadcasting preset node card information contained in a preset service process corresponding to the preset service, and prompting a user to input user information text content corresponding to the preset node card information, so that the user inputs corresponding text feedback information according to the preset node card information;
and if the user information data corresponding to the preset node card information is not preset confidential information, the preset node card information contained in a preset service process corresponding to the preset service is broadcasted based on the preset AI image, so that a user can input corresponding voice feedback information according to the preset node card information.
Specifically, for the privacy information that involves in the service information acquisition process, privacy information such as the password and the identification number that involve, for the security of assurance user information data, these privacy information are difficult to report through the mode of pronunciation to avoid revealing of privacy information. Therefore, in the embodiment of the present application, before the step of broadcasting the preset node card information included in the preset service flow corresponding to the preset service is executed, so that the user inputs the corresponding voice feedback information according to the preset node card information, it may be determined whether the user information data corresponding to the preset node card information is preset confidential information, that is, whether the user information data corresponding to the preset node card information is preset confidential information, for example, whether the user information data corresponding to the preset node card information is user data content that needs security guarantee, such as a password and an identity card number of the user, or not, if the user information data corresponding to the preset node card information is preset confidential information, the preset node card information included in the preset service flow corresponding to the preset service may be reported based on the preset AI intelligent robot image, prompting a user to input user information text contents corresponding to the preset node card information so that the user inputs corresponding text feedback information according to the preset node card information, for example, the user can input the corresponding text feedback information contents of the preset node card information through a key, or the user inputs the corresponding text feedback information contents of the preset node card information through a handwriting mode, and the user inputs the corresponding voice feedback information of the preset node card information without adopting a voice mode, thereby ensuring the safety of privacy data in user information data, if the user information data corresponding to the preset node card information is not preset confidential information, executing the preset node card information contained in a preset service flow corresponding to the preset service based on the preset AI image, and the user inputs corresponding voice feedback information according to the preset node card information, so that the user can quickly carry out man-machine interaction in a voice interaction mode, and the efficiency of acquiring the service information is improved. In the embodiment of the application, the user information data which needs to be subjected to safety protection and has privacy passes through the text feedback information, and the user information data which does not need to be subjected to safety protection is input in the voice interaction mode, the voice feedback information corresponding to the preset node card information is input, so that the safety of the user private information data can be guaranteed, the efficiency of collecting the service information of a user can be improved, particularly the efficiency of handling the service in a guide type scene and a conversation type scene by the user is improved, and the safety, the service efficiency and the service quality of self-service are improved.
Referring to fig. 6, fig. 6 is a fourth sub-flow diagram of a service information collection method according to an embodiment of the present application. As shown in fig. 6, in this embodiment, the step of filling the target document into a preset service transaction form corresponding to the preset service flow includes:
s61, acquiring a preset service handling form corresponding to the preset service flow;
s62, acquiring the target file and a preset target field corresponding to the target file;
s63, determining the corresponding target field position of the preset target field in the preset business transaction form according to the preset target field;
and S64, according to the target field position, filling the target file to a target file position associated with the target field position so as to fill the target file to a preset business handling form corresponding to the preset business process.
Specifically, the preset service handling form may be a preset form, where the preset form includes a field position of a field corresponding to service information to be acquired and a field assignment position, for example, if a preset form includes a name of a user to be acquired, a blank position is generally left after the name to fill the name of the user, the name is a preset target field, the position of the name in the preset form is a target field position, the blank position after the name is a target pattern position associated with the target field position, that is, an assignment position corresponding to the name field, and is used to fill specific contents of the name, where, if the specific contents of the name are zhang, or quan, the zhang or quan is a target pattern, and the name is a preset target field corresponding to the target pattern. After a preset business handling form corresponding to the preset business process is obtained, for example, a preset form, the target document and a preset target field corresponding to the target document, for example, names corresponding to zhangsan and zhangsan, are obtained, a target field position corresponding to the preset target field in the preset business handling form, for example, a position of a name in the preset form, is determined according to the preset target field, for example, the name, the target document is filled to the target document position associated with the target field position according to the target field position, so as to fill the target document to the preset business handling form corresponding to the preset business process, for example, zhangsan is filled to a blank position after the name associated with the name according to the position of the name in the preset form, so as to fill zhangsan to the preset form, and acquiring the information of the third name of the user in the preset table.
In an embodiment, before the step of filling the target document into a preset service transaction form corresponding to the preset service flow to collect service information corresponding to the preset service, the method further includes:
prompting the target file to the user through a preset display page, and prompting the user to confirm the target file;
if a confirmation instruction that the user confirms the target file is received, the step of filling the target file into a preset business handling form corresponding to the preset business process so as to collect business information corresponding to the preset business is executed;
and if a confirmation instruction that the user confirms the target file is not received, prompting the user to perform voice feedback on the preset node card information again, so that the user inputs corresponding voice feedback information again according to the preset node card information.
Specifically, based on voice recognition, voice recognition is performed on the voice feedback information to obtain a target pattern corresponding to the preset node card information, so as to avoid errors in voice recognition resulting in errors in collecting user information, after the target file corresponding to the preset node card information is obtained, the target file is prompted to the user through a preset display page, prompting the user to confirm the target file, receiving a confirmation instruction of the user to confirm the target file if the user confirms the target file without errors, then the target file is filled into a preset business handling form corresponding to the preset business process, and acquiring the service information corresponding to the preset service, thereby ensuring the accuracy and correctness of the acquisition of the service information. If the confirmation instruction that the user confirms the target file is not received, namely if the user finds that the target file has errors through a preset display page, the user is prompted to perform voice feedback on the preset node card information again, the user can perform voice feedback on the preset node card information again, so that the user inputs corresponding voice feedback information again according to the preset node card information, then the voice feedback information is received, voice recognition is performed on the voice feedback information, the target file corresponding to the preset node card information is obtained, and the confirmation instruction that the user confirms the target file is received until the collected user information is accurate and correct.
It should be noted that, the service information collection method described in each of the above embodiments may recombine the technical features included in different embodiments as needed to obtain the combined implementation, but all of the embodiments are within the protection scope claimed in the present application.
Referring to fig. 7, fig. 7 is a schematic block diagram of a service information collecting device according to an embodiment of the present application. Corresponding to the service information acquisition method, the embodiment of the application also provides a service information acquisition device. As shown in fig. 7, the service information collecting apparatus includes a unit for executing the service information collecting method described above, and the service information collecting apparatus may be configured in a computer device. Specifically, referring to fig. 7, the service information collecting device 70 includes a starting unit 71, a broadcasting unit 72, an identifying unit 73, and a collecting unit 74.
The starting unit 71 is configured to start a preset AI intelligent robot image in response to a handling instruction for a user to handle a preset service;
the broadcasting unit 72 is configured to broadcast preset node card information included in a preset service flow corresponding to the preset service based on the preset AI intelligent robot image, so that the user inputs corresponding voice feedback information according to the preset node card information;
the recognition unit 73 is configured to receive the voice feedback information, and perform voice recognition on the voice feedback information to obtain a target pattern corresponding to the preset node card information;
and the acquisition unit 74 is configured to fill the target file into a preset service transaction form corresponding to the preset service flow, so as to acquire service information corresponding to the preset service.
In one embodiment, the broadcasting unit 72 includes:
the first obtaining subunit is used for obtaining a preset service identifier corresponding to the preset service through voice recognition based on the preset AI intelligent robot image;
the second acquiring subunit is configured to acquire, according to the preset service identifier, a preset service handling process corresponding to the preset service identifier;
and the broadcasting subunit is used for broadcasting the preset node card information according to the preset business handling process and the preset broadcasting sequence corresponding to the preset node card information contained in the preset business handling process so as to enable a user to input corresponding voice feedback information according to the preset node card information.
In an embodiment, the service information collecting apparatus 70 further includes:
the first judgment unit is used for judging whether the preset node card information has a breakpoint or not;
and the first execution unit is used for executing the step of receiving the voice feedback information if the preset node card information has no breakpoint.
In an embodiment, the service information collecting apparatus 70 further includes:
and the updating unit is used for updating the node card state of the node corresponding to the preset node card information.
In an embodiment, the service information collecting apparatus 70 further includes:
a second judging unit, configured to judge whether a node card state of a node corresponding to the preset node card information is complete;
and the acquisition subunit is used for acquiring the next preset node card information corresponding to the preset node card information if the node card state of the node corresponding to the preset node card information is finished.
In an embodiment, the service information collecting apparatus 70 further includes:
the third judging unit is used for judging whether the node card states corresponding to all the preset node card information are all finished or not;
the end unit is used for ending the collection of the service information if the node card states corresponding to all the preset node card information are all finished;
and the second execution unit is used for continuously executing the step of broadcasting the preset node card information contained in the preset service flow corresponding to the preset service if the node card states corresponding to all the preset node card information are not all completed.
In one embodiment, the acquisition unit 74 includes:
the second acquiring subunit is used for acquiring a preset service handling form corresponding to the preset service flow;
a third obtaining subunit, configured to obtain the target document and a preset target field corresponding to the target document;
the determining subunit is configured to determine, according to the preset target field, a corresponding target field position of the preset target field in the preset service transaction form;
and the filling subunit is used for filling the target file to a target file position associated with the target field position according to the target field position so as to fill the target file to a preset business handling form corresponding to the preset business process.
It should be noted that, as can be clearly understood by those skilled in the art, the specific implementation processes of the service information acquisition apparatus and each unit may refer to the corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, no further description is provided herein.
Meanwhile, the division and connection mode of each unit in the service information acquisition device are only used for illustration, in other embodiments, the service information acquisition device may be divided into different units as required, and each unit in the service information acquisition device may also adopt different connection sequences and modes to complete all or part of the functions of the service information acquisition device.
The service information collection apparatus may be implemented in the form of a computer program, and the computer program may be run on a computer device as shown in fig. 8.
Referring to fig. 8, fig. 8 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a computer device such as a desktop computer or a server, or may be a component or part of another device.
Referring to fig. 8, the computer device 500 includes a processor 502, a memory, which may include a non-volatile storage medium 503 and an internal memory 504, which may also be a volatile storage medium, and a network interface 505 connected by a system bus 501.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform one of the above-described service information collection methods.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be enabled to execute a service information collecting method as described above.
The network interface 505 is used for network communication with other devices. Those skilled in the art will appreciate that the configuration shown in fig. 8 is a block diagram of only a portion of the configuration relevant to the present teachings and does not constitute a limitation on the computer device 500 to which the present teachings may be applied, and that a particular computer device 500 may include more or less components than those shown, or combine certain components, or have a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 8, and are not described herein again.
Wherein the processor 502 is configured to run the computer program 5032 stored in the memory to implement the following steps: responding to a handling instruction of a user for handling a preset service, and starting a preset AI intelligent robot image; based on the preset AI image, broadcasting preset node card information contained in a preset service flow corresponding to the preset service so that the user inputs corresponding voice feedback information according to the preset node card information; receiving the voice feedback information, and performing voice recognition on the voice feedback information to obtain a target file corresponding to the preset node card information; and filling the target file into a preset service handling form corresponding to the preset service flow so as to collect service information corresponding to the preset service.
In an embodiment, when implementing the step of broadcasting preset node card information included in a preset service flow corresponding to the preset service based on the preset AI intelligent robot image, so that a user inputs corresponding voice feedback information according to the preset node card information, the processor 502 specifically implements the following steps:
acquiring a preset service identifier corresponding to the preset service through voice recognition based on the preset AI intelligent robot image;
acquiring a preset service handling process corresponding to the preset service identification according to the preset service identification;
broadcasting the preset node card information according to the preset business handling flow and the preset broadcasting sequence corresponding to the preset node card information contained in the preset business handling flow so that a user inputs corresponding voice feedback information according to the preset node card information.
In an embodiment, the processor 502 further implements the following steps before implementing the step of receiving the voice feedback information:
judging whether the preset node card information has a breakpoint or not;
and if the preset node card information does not have a breakpoint, executing the step of receiving the voice feedback information.
In an embodiment, after the step of filling the target document into the preset service transaction form corresponding to the preset service process is implemented, the processor 502 further implements the following steps:
and updating the node card state of the node corresponding to the preset node card information.
In an embodiment, after the step of updating the node card state of the node corresponding to the preset node card information is implemented, the processor 502 further implements the following steps:
judging whether the node card state of the node corresponding to the preset node card information is finished or not;
and if the node card state of the node corresponding to the preset node card information is finished, acquiring next preset node card information corresponding to the preset node card information.
In an embodiment, after the step of updating the node card state of the node corresponding to the preset node card information is implemented, the processor 502 further implements the following steps:
judging whether the node card states corresponding to all the preset node card information are all finished or not;
if the node card states corresponding to all the preset node card information are all finished, finishing the acquisition of the service information;
and if the node card states corresponding to all the preset node card information are not finished, continuing to execute the step of broadcasting the preset node card information contained in the preset service flow corresponding to the preset service.
In an embodiment, when the processor 502 implements the step of filling the target document into the preset service transaction form corresponding to the preset service process, the following steps are implemented:
acquiring a preset service handling form corresponding to the preset service flow;
acquiring the target file and a preset target field corresponding to the target file;
determining the corresponding target field position of the preset target field in the preset service handling form according to the preset target field;
and filling the target file to a target file position associated with the target field position according to the target field position so as to fill the target file to a preset business handling form corresponding to the preset business process.
It should be understood that, in the embodiment of the present Application, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiments may be implemented by a computer program, and the computer program may be stored in a computer readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a computer-readable storage medium. The computer-readable storage medium may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, the computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of:
a computer program product which, when run on a computer, causes the computer to perform the steps of the business information collection method described in the embodiments above.
The computer readable storage medium may be an internal storage unit of the aforementioned device, such as a hard disk or a memory of the device. The computer readable storage medium may also be an external storage device of the device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the device. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the apparatus.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The storage medium is an entity and non-transitory storage medium, and may be various entity storage media capable of storing computer programs, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing an electronic device (which may be a personal computer, a terminal, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A service information acquisition method is characterized by comprising the following steps:
responding to a handling instruction of a user for handling a preset service, and starting a preset AI intelligent robot image;
based on the preset AI image, broadcasting preset node card information contained in a preset service flow corresponding to the preset service so that the user inputs corresponding voice feedback information according to the preset node card information;
receiving the voice feedback information, and performing voice recognition on the voice feedback information to obtain a target file corresponding to the preset node card information;
and filling the target file into a preset service handling form corresponding to the preset service flow so as to collect service information corresponding to the preset service.
2. The service information collection method according to claim 1, wherein the step of reporting preset node card information included in a preset service flow corresponding to the preset service based on the preset AI intelligent robot image so that a user inputs corresponding voice feedback information according to the preset node card information comprises:
acquiring a preset service identifier corresponding to the preset service through voice recognition based on the preset AI intelligent robot image;
acquiring a preset service handling process corresponding to the preset service identification according to the preset service identification;
broadcasting the preset node card information according to the preset business handling flow and the preset broadcasting sequence corresponding to the preset node card information contained in the preset business handling flow so that a user inputs corresponding voice feedback information according to the preset node card information.
3. The method for collecting service information according to claim 1, wherein before the step of receiving the voice feedback information, the method further comprises:
judging whether the preset node card information has a breakpoint or not;
and if the preset node card information does not have a breakpoint, executing the step of receiving the voice feedback information.
4. The business information collecting method according to claim 1, wherein after the step of filling the target pattern into a preset business transaction form corresponding to the preset business process, the method further comprises:
and updating the node card state of the node corresponding to the preset node card information.
5. The service information collection method according to claim 4, wherein after the step of updating the node card state of the node corresponding to the preset node card information, the method further comprises:
judging whether the node card state of the node corresponding to the preset node card information is finished or not;
and if the node card state of the node corresponding to the preset node card information is finished, acquiring next preset node card information corresponding to the preset node card information.
6. The service information collection method according to claim 4, wherein after the step of updating the node card state of the node corresponding to the preset node card information, the method further comprises:
judging whether the node card states corresponding to all the preset node card information are all finished or not;
if the node card states corresponding to all the preset node card information are all finished, finishing the acquisition of the service information;
and if the node card states corresponding to all the preset node card information are not finished, continuing to execute the step of broadcasting the preset node card information contained in the preset service flow corresponding to the preset service.
7. The business information collecting method of claim 1, wherein the step of filling the target pattern into a preset business handling form corresponding to the preset business process comprises:
acquiring a preset service handling form corresponding to the preset service flow;
acquiring the target file and a preset target field corresponding to the target file;
determining the corresponding target field position of the preset target field in the preset service handling form according to the preset target field;
and filling the target file to a target file position associated with the target field position according to the target field position so as to fill the target file to a preset business handling form corresponding to the preset business process.
8. A service information acquisition apparatus, comprising:
the starting unit is used for responding to a handling instruction of a user handling a preset service and starting a preset AI intelligent robot image;
the broadcasting unit is used for broadcasting preset node card information contained in a preset service flow corresponding to the preset service based on the preset AI image so that the user inputs corresponding voice feedback information according to the preset node card information;
the recognition unit is used for receiving the voice feedback information and carrying out voice recognition on the voice feedback information so as to obtain a target file corresponding to the preset node card information;
and the acquisition unit is used for filling the target file into a preset business handling form corresponding to the preset business flow so as to acquire the business information corresponding to the preset business.
9. A computer device, comprising a memory and a processor coupled to the memory; the memory is used for storing a computer program; the processor is adapted to run the computer program to perform the steps of the method according to any of claims 1-7.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when being executed by a processor, realizes the steps of the method according to any one of claims 1 to 7.
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