CN110349036B - Operation guiding method, system, equipment and storage medium - Google Patents
Operation guiding method, system, equipment and storage medium Download PDFInfo
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Abstract
The invention is applicable to the technical field of computers and provides an operation guiding method, an operation guiding system, operation guiding equipment and a storage medium, wherein the operation guiding method comprises the following steps: after obtaining the operation pre-request of the client, according to the operation pre-request and the corresponding relation among the preset user ID, the operation object information and the operation attribute characteristics, inquiring the current operation object information which is matched with the current user ID and has the current operation attribute characteristics, analyzing the current operation indicated by the current operation information according to the preset strategy to obtain operation guiding result information of the current operation, and displaying the operation guiding result information to the user to guide the user operation. Therefore, the robot can be used for guiding the user to operate efficiently, and the guiding result obtained by analysis is output, so that the user operation experience is better ensured.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to an operation guiding method, system, device, and storage medium.
Background
Life insurance refers to life insurance that is subject to an insurance policy for the survival of the insured life. The life insurance has a stronger saving function, and the insured life still exists when the insurance expires or reaches the contracted age, and the insurer is responsible for paying insurance money. Survival gold generally appears in life insurance products such as red insurance, universal insurance, annual gold insurance and the like, and most of the insurance products have survival gold returning function.
Generally, the survival rate of insurance products can be used to transact a variety of services, such as: bonus acquisition, deposit part acquisition, deposit transfer authorization, loan, etc., and the handling of certain businesses may have an influence on the handling of other businesses due to the general nature of certain businesses, for example: the successful transaction of the business such as the bonus acquisition, the living gold part acquisition and the loan has the attribute that the client can acquire money, but the prepositive successful transaction of the loan business can lead the follow-up living gold part acquisition business to be unable to be successfully transacted, so that if the client needs to acquire money by using a policy, the client needs to inquire the transacted business condition by the counter service personnel through the existing counter manual transaction way, and then carries out the business recommendation corresponding to the client requirement according to the transacted business condition, thereby leading to longer time consumption and low efficiency; and the counter service personnel can give more reasonable service handling advice by virtue of the familiarity degree of the service, and the counter service personnel has higher service quality requirement, so that the benefit of the customer is difficult to be better ensured.
Similarly, for other operations of non-business handling, there is also a problem that the operation efficiency is low due to manual processing, so that the user operation experience cannot be improved.
Disclosure of Invention
The invention aims to provide an operation guiding method, an operation guiding system, operation guiding equipment and a storage medium, and aims to solve the problems that in the prior art, the operation efficiency is low and the user operation experience cannot be guaranteed due to manual processing.
In one aspect, the present invention provides a robot-based operation guidance method, the method comprising:
obtaining an operation pre-request of a user, wherein the operation pre-request carries a current user Identity (ID) and current operation attribute characteristics;
according to the operation pre-request and the preset corresponding relation among the user ID, the operation object information and the operation attribute characteristics, inquiring the current operation object information matched with the current user ID and provided with the current operation attribute characteristics, wherein the operation object information comprises: operation information corresponding to the operation attribute features, wherein the current operation object information comprises: current operation information corresponding to the current operation attribute feature;
analyzing the current operation indicated by the current operation information according to a preset strategy to obtain operation guiding result information of the current operation;
and displaying the operation guiding result information to the user so as to guide the user to execute the current operation.
Further, according to a preset policy, analyzing the current operation indicated by the current operation information specifically includes:
displaying the current operation object information and the current operation information to the user, and providing the user with option information for selecting a certain first operation which tends to be preferentially executed from the current operation;
obtaining a selection result of the user on the option information;
and analyzing the current operation according to the selection result and the strategy to obtain the operation guiding result information based on the relatively higher priority execution level of the first operation.
Further, according to a preset policy, analyzing the current operation indicated by the current operation information specifically includes:
displaying the current operation object information and the current operation information to the user, and providing the user with option information for selecting a certain first operation which tends to be preferentially executed from the current operation;
obtaining pre-selected information of the user on a second operation from the option information;
analyzing the current operation according to the pre-selected information and the strategy to obtain pre-execution guide information based on the relatively higher priority execution level of the second operation;
The pre-execution guide information is displayed to the user to be used as a reference for the user to select a certain first operation which tends to be executed preferentially from the current operation;
obtaining a selection result of the option information by the user,
and displaying the operation guide result information to the user, wherein the operation guide result information comprises the following specific steps:
and according to the selection result, displaying the operation guiding result information based on the relatively higher execution level of the first operation priority to the user.
Further, according to a preset policy, the analyzing the current operation indicated by the current operation information specifically further includes:
analyzing the current operation according to a preset strategy to obtain ideal execution guide information based on a relatively higher priority execution level of a third operation;
evaluating the ideal execution guide information and the pre-execution guide information to correspondingly obtain first evaluation information and second evaluation information;
the ideal execution guide information, the first evaluation information and the second evaluation information are displayed to the user as references for the user to select the first operation while the pre-execution guide information is displayed to the user.
Further, according to a preset policy, the analyzing the current operation indicated by the current operation information specifically further includes:
comparing the first evaluation information with the second evaluation information to obtain comparison information;
the comparison information is presented to the user as a reference for the user to select the first operation while presenting the ideal execution guide information, the first evaluation information, and the second evaluation information to the user.
Further, the operation information includes: and performing operation-stage feedback to evaluate the ideal execution guide information and the pre-execution guide information, wherein the operation-stage feedback specifically comprises the following steps:
obtaining ideal operation arrangement conditions of the ideal execution guide information and pre-operation arrangement conditions in the pre-execution guide information;
and obtaining an ideal estimation condition which is matched with the ideal operation arrangement condition and serves as the first evaluation information and a pre-estimation condition which is matched with the pre-operation arrangement condition and serves as the second evaluation information according to the operation stage feedback and a preset feedback estimation strategy.
Further, the ideal estimation condition and the pre-estimation condition are both related to time;
And inquiring the current operation object information matched with the current user ID and provided with the current operation attribute characteristics, wherein a fuzzy matching algorithm is adopted.
In another aspect, the present invention provides a computing system, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an operation pre-request of a user, and the operation pre-request carries a current user Identity (ID) and a current operation attribute characteristic;
the query unit is configured to query current operation object information with the current operation attribute feature, which is matched with the current user ID, according to the operation pre-request and a preset correspondence between the user ID, the operation object information and the operation attribute feature, where the operation object information includes: operation information corresponding to the operation attribute features, wherein the current operation object information comprises: current operation information corresponding to the current operation attribute feature;
the analysis unit is used for analyzing the current operation indicated by the current operation information according to a preset strategy to obtain operation guiding result information of the current operation; the method comprises the steps of,
and the display unit is used for displaying the operation guiding result information to the user so as to guide the user to execute the current operation.
On the other hand, the invention also provides a service robot device, which comprises a memory and a processor, wherein the processor realizes the steps in the method when executing the computer program stored in the memory.
In another aspect, the invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the method as described above.
After obtaining an operation pre-request of a client, according to the operation pre-request and the corresponding relation among the preset user ID, the operation object information and the operation attribute characteristics, inquiring the current operation object information which is matched with the current user ID and has the current operation attribute characteristics, analyzing the current operation indicated by the current operation information according to a preset strategy to obtain operation guiding result information of the current operation, and displaying the operation guiding result information to the user to guide the user operation. Therefore, the robot can be used for guiding the user to operate efficiently, and the guiding result obtained by analysis is output, so that the user operation experience is better ensured.
Drawings
Fig. 1 is a flowchart of an implementation of a service robot-based business transaction guidance method according to an embodiment of the present invention;
fig. 2 is a flowchart of a service robot-based business handling guidance method according to a second embodiment of the present invention;
fig. 3 is a flowchart of an implementation of a service robot-based business handling guidance method according to a third embodiment of the present invention;
fig. 4 is a detailed flowchart of step S103 in the fourth embodiment of the present invention;
fig. 5 is a detailed flowchart of step S103 in the fifth embodiment of the present invention;
FIG. 6 is a schematic diagram of a computing system according to a sixth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a service robot device according to a seventh embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The following describes the specific implementation of the present invention in detail with reference to specific embodiments, in which a business handling guidance method is specifically described as an example of the robot-based operation guidance method of the present invention, but it is to be understood that the robot-based operation guidance method of the present invention is a technical solution, and its application in business handling is merely an example application, without affecting its technical essence. Other subjects to which the invention relates are, for example: the statement applies equally to computing systems, robotic devices, computer readable storage media.
The service handling guiding method mainly provides a service robot which can be distributed at the positions of a service counter, a cloud server and the like, the service robot can perform man-machine interaction with clients, the service handling pre-request which is provided by the clients and is relatively fuzzy and does not explicitly point to a specific service under a policy is obtained, all current policies with current services conforming to service attribute characteristics are obtained by inquiring, then intelligent comprehensive analysis is performed on the current services, handling planning result information of the current services is obtained to display the clients, and therefore the clients are guided to handle the current services efficiently, and the benefits of the clients are guaranteed better.
The service handling guiding method based on the service robot is specifically described below through a plurality of examples.
Embodiment one:
as shown in fig. 1, the service robot-based service handling guiding method of the present embodiment specifically includes:
step S101, a service handling pre-request of the client is obtained, where the service handling pre-request carries a current client Identity (ID) and a current service attribute feature.
In particular, a business transaction pre-request means that the customer does not explicitly point to a particular policy-based business and transacts the business, but rather the customer first provides the business transaction pre-request to indicate that the customer wants to transact one or more businesses of a certain category. Thus, the service transacting pre-request carries, in addition to the current client ID, a current service attribute feature indicating the category.
The client ID may be an ID independently compiled by the system, or may be an ID distinguishable from other clients, such as a citizen identification card number, passport number, or the like. In order to ensure the authenticity of information and the safety of the system, the current client ID can simultaneously contain the ID independently compiled by the system, the ID of a citizen identity card number, a passport number and the like.
The business attribute features may be specified by the following application examples. For example: the client is to get money through handling the policy service, then the service robot can be transmitted with a service handling pre-request through voice input, keyboard input and other modes, and the service handling pre-request can carry the client ID and the service attribute characteristic of 'getting money'; the client wants to conduct guarantee through handling the insurance policy service, and can also transmit a service handling pre-request to the service robot in the above manner, wherein the service handling pre-request can carry service attribute features such as 'guarantee'.
Step S102, inquiring current policy information matched with the current client ID and having the current service attribute characteristics according to the service handling pre-request and the corresponding relation among the preset client ID, the policy information and the service attribute characteristics, wherein the policy information comprises: the service information corresponding to the service attribute features includes: current service information corresponding to the current service attribute feature.
Specifically, the policy information may include not only service information corresponding to a certain service attribute feature, but also service information not corresponding to the service attribute feature, for example: the service attribute feature is 'lead money', and the policy information comprises red service information corresponding to the service attribute feature 'lead money', and living money transfer authorization service information not corresponding to the service attribute feature 'lead money'. The policy information may include not only service information corresponding to a certain service attribute feature, but also service information corresponding to another service attribute feature, for example: the service attribute features are 'money-leading', the other service attribute features are 'authorization', and the policy information comprises the information of the money-leading and the information of the money-receiving service corresponding to the service attribute features, and the information of the money-transferring authorization service corresponding to the other service attribute features.
The system database may include at least a correspondence between a customer ID, policy information, and business attribute features. When the corresponding current policy information is searched in the system database by utilizing the current client ID and the current service attribute characteristics, an accurate matching algorithm or a fuzzy matching algorithm can be adopted. For example: when the current service attribute feature is 'money-collecting' and the search is performed by using an accurate matching algorithm, in order to accurately find the current policy information containing the red service information corresponding to the current service attribute feature, the keyword 'money-collecting' needs to be accurately recorded in the service attribute feature in the system database, and meanwhile, the keyword 'money-collecting', 'money-collecting' and the like with the same meaning may also need to be recorded; when the current business attribute feature is 'money-collecting', and the fuzzy matching algorithm is utilized to search, the keyword 'money-collecting' related to 'money-collecting' can be recorded in the business attribute feature in the system database, the business attribute feature 'money-collecting' is related to the red business information, and even if the current business attribute feature is 'money-collecting', the current policy information containing the red business information corresponding to the current business attribute feature 'money-collecting' can be accurately searched because the meaning of the 'money-collecting' is similar during searching.
Step S103, analyzing the current service indicated by the current service information according to a preset analysis strategy to obtain the transacted planning result information of the current service.
Specifically, when there are a plurality of current services contained in the plurality of current policy information and each of the plurality of current services contained in the one current policy information has a current service attribute feature, the processing planning result information of the plurality of current services needs to be provided to guide the client to orderly process the current services, thereby better ensuring the benefits of the client.
In one application example, the service information may include: business staged benefits. Then, according to a preset analysis policy, the analyzing the current service indicated by the current service information may specifically include:
firstly, on the premise that no conflict occurs between the current services, a plurality of temporary service combinations of the current services in time are obtained. The fact that no conflict occurs between the current services mainly means that: the ordered arrangement of a plurality of current services can enable all current services in the arrangement to be sequentially transacted and completed, and the transacting of a certain current service cannot be enabled to be inconsistent with corresponding transacting conditions or not be completed.
And then, obtaining a temporary benefit estimation condition corresponding to each temporary service combination according to the service staged benefits. For example: the business stage benefit of the current business A in the first current policy at the time stage a is 1000 yuan, the business stage benefit of the current business B at the time stage B is 1500 yuan, the business stage benefit of the current business B in the second current policy at the time stage C is 1200 yuan, the business stage benefit of the current business C in the time stage d is 1700 yuan, the business stage benefit of the current business C in the third current policy at the time stage C is 1500 yuan, and the business stage benefit of the current policy at the time stage d is 1300 yuan, then on the premise that no conflict occurs between the current businesses A, B, C, temporary business combinations of at least two groups of the current businesses A, B, C in time, namely, a first temporary business combination is a combination of the current businesses A, B, a second temporary business combination is a combination of the current businesses A, C, and the first temporary estimation condition of the first temporary business combination can be: the estimated total gain is 1000+1500+1200+1700=5400 elements over the entire time period t comprised of the time period a, b, c, d, and the second temporary gain estimation case for the second temporary service combination may be: the estimated total gain is 1000+1500+1500+1300=5300 elements over the whole time period t consisting of the time period a, b, c, d.
And then, according to the temporary benefit estimation condition corresponding to each temporary service combination, preferentially determining a temporary service combination, thereby finally obtaining the transaction planning result information of the current service related to the preferentially determined temporary service combination. Still referring to the previous application example, triggered from the point of view of better ensuring the benefits of customers, the first temporary benefit estimation case is significantly better than the second temporary benefit estimation case (5400 yuan > 5300 yuan), and then the transacted planning result information of the current business related to the first temporary business combination is finally obtained. The information of the handling planning result may include the indication information of the first temporary service combination, or may also include other information, for example: the transaction guidance information of the current service A, B in the first temporary service combination and/or the first temporary benefit estimation situation may further include: the indication information of the second temporary service combination and the second temporary gain estimation condition are taken as comparison references.
Of course, the above mainly considers the temporary gain estimation situation relatively long during the whole period t of the coverage time period a, b, c, d, and in other application examples, the temporary gain estimation situation relatively short during the period t' of the coverage time periods a, b, c may also be considered, or the temporary gain estimation situation relatively long and the temporary gain estimation situation relatively short may be comprehensively considered.
Step S104, showing the processing planning result information to the client so as to guide the client to process the current business.
Specifically, the information of the transaction planning result can be displayed to the client in a voice, video, picture or other information output mode, and the subsequent client can gradually transact the current business according to the transaction flow of the current business indicated in the information of the transaction planning result.
In addition, in order to identify the current service attribute feature from the service handling pre-request, specifically, firstly, the service handling pre-request (for example, a voice request) input by a client is identified to obtain a character recognition result, then, the character recognition result is subjected to semantic matching to obtain the service attribute feature which is the same as or similar to the character recognition result in terms of semantics, so that the current service attribute feature can be identified from the service handling pre-request. For example: the business attribute feature is 'cash expenditure', and the business attribute feature is also contained in the red business information, when the character recognition result is 'money-leading', the final business attribute feature is 'cash expenditure' through semantic matching, and at the moment, the red business information corresponding to the 'cash expenditure' can be obtained. In order to improve the accuracy of semantic matching, corresponding processing can be performed through a pre-trained deep learning neural network.
By implementing the embodiment, the service robot can intelligently provide proper service handling planning for the client according to the service handling requirements of the client, so that the service is efficiently docked with the client, the service docking time is effectively shortened, and the efficiency is improved; and the problem that the customer benefit is difficult to be well ensured because the service quality of counter service personnel cannot meet the requirement can be avoided, and the maximization of the customer benefit can be realized.
Embodiment two:
the present embodiment further provides, based on the first embodiment, the following:
as shown in fig. 2, step S103 specifically includes:
step S201, the current policy information and the current service information are displayed to the client, and the option information for selecting a certain first service which tends to be processed preferentially from the current service is provided to the client.
Step S202, a result of selecting the option information by the customer is obtained.
Step S203, analyzing the current business according to the selection result and the analysis strategy to obtain the business planning result information based on the relatively higher priority business class of the first business.
In step S201, the application example in the first embodiment may show the relevant information of the first current policy, the second current policy, the third current policy, the current service a, the current service B, and the current service C to the client, and provide the client with option information, where the client may operate the option information, and correspondingly select one or more of the current services A, B, C as the first service, where the first service is the current service that the client tends to transact preferentially. In step S202, the client selects the first service as a result of the selection. In step S203, the current business is analyzed according to the selected result, i.e. the analysis policy, which may be similar to the application example in step S103, except that the obtained business planning result information is based on the relatively high priority business class of the first business, for example: when the customer selects the first service as the current service C, even if the first temporary benefit estimation situation corresponding to the first temporary service combination including the current service B described in the application example of step S103 in the first embodiment is significantly better than the second temporary benefit estimation situation corresponding to the second temporary service combination including the current service C, since a certain first service that the customer tends to preferentially transact is the current service C, the transaction planning result information obtained in the final step S203 correspondingly includes the indication information of the second temporary service combination.
The implementation of the embodiment further considers the tendency selection of the client, and further considers the problem of better guaranteeing the benefit of the client from the aspect of respecting the client's will.
Embodiment III:
the present embodiment further provides, based on the first embodiment, the following:
as shown in fig. 3, step S103 specifically includes:
step S301, the current policy information and the current service information are displayed to the client, and the option information for selecting a certain first service which tends to be processed preferentially from the current service is provided to the client.
Step S302, the customer obtains the pre-selection information of a second service from the option information.
Step S303, analyzing the current business according to the pre-selected information and the analysis strategy to obtain pre-transacted planning information based on the relatively higher priority transacting level of the second business.
Step S304, the pre-transacted planning information is displayed to the client as a reference for the client to select a first service with preferential transacting tendency from the current service.
Step S305, a result of selecting the option information by the client is obtained.
The step S104 specifically includes:
and according to the selection result, displaying the transaction planning result information based on the relatively higher priority transaction level of the first service to the client.
In step S301, the application example in the first embodiment may show the relevant information of the first current policy, the second current policy, the third current policy, the current service a, the current service B, and the current service C to the client, and provide the client with option information, where the client may operate the option information, and correspondingly select one or more of the current services A, B, C as the first service, where the first service is the current service that the client tends to transact preferentially. However, in step S302, before the customer selects the first service, a pre-selection action for the second service is added, that is, before the customer determines the first service, the customer needs to select one of the current services A, B, C as the second service, and in step S303, similarly to the application example in step S203, pre-processing planning information corresponding to the first service with a relatively high priority of the second service is obtained, and in step S304, the pre-processing planning information is displayed to the customer, and if the customer preselects different current services as the second service, a plurality of pre-processing planning information will be displayed to the customer, and the customer can finally determine a first service that meets the requirements of the customer in step S305 according to the displayed plurality of pre-processing planning information.
Specifically, the pre-selection operation may be clicking a certain current service from the option information as the second service, and the selection operation of the final selection result may be a confirmation operation after clicking a certain current service.
According to the embodiment, before the client determines the first service, pre-processing planning information corresponding to the pre-selected second service is displayed to the client through the pre-selection operation of the client, so that the client is better guided to determine which current service or services the client tends to process, and the client satisfaction degree can be further improved.
Embodiment four:
the present embodiment further provides the following on the basis of the third embodiment:
as shown in fig. 4, step S103 specifically further includes:
step S401, analyzing the current business according to a preset analysis strategy to obtain ideal business planning information based on a relatively higher priority business class of a third business.
Step S402, evaluating ideal handling planning information and pre-handling planning information according to a preset evaluation strategy, and correspondingly obtaining first evaluation information and second evaluation information.
Step S403, displaying the pre-transacted planning information, the ideal transacted planning information, the first evaluation information and the second evaluation information to the customer as references for the customer to select the first service.
In the application example in the third embodiment, in step S401, the ideal transaction planning information may include: similar to the first temporary service combination indication information determined according to the first temporary gain estimation case being significantly better than the second temporary gain estimation case in the application example of step S103, the corresponding third service may be the current service B (instead of the current service C). Likewise, the service information may include: the step S402 may specifically include: firstly, obtaining ideal business arrangement conditions of ideal handling planning information and pre-business arrangement conditions in pre-handling planning information, wherein the ideal business arrangement conditions and the pre-business arrangement conditions are specific to all or part of current businesses; then, according to the business stage profits of each current business and a preset profits estimation strategy, obtaining an ideal profits estimation condition which is matched with the ideal business arrangement condition and is used as first evaluation information and a pre-benefit estimation condition which is matched with the pre-business arrangement condition and is used as second evaluation information, wherein the ideal profits estimation condition and the pre-benefit estimation condition are related to time, and in an application example, the ideal transacting planning information comprises: indication of the first temporary service combination, and pre-transaction planning information comprising: the indication of the second temporary service combination (since the customer preselects the current service C as the second service), then, based on the service phased benefits of each current service and the preset benefit estimation policy, the ideal benefit estimation case is similar to the first temporary benefit estimation case, and the pre-benefit estimation case is similar to the second temporary benefit estimation case. The first evaluation information displayed in step S403 may include the ideal profit estimation situation, the second evaluation information may include the pre-benefit estimation situation, and the client may use the displayed information as a reference for selecting a current service as the first service.
By implementing the embodiment, the system can further provide ideal transacted planning information, the first evaluation information of the ideal transacted planning information and the second evaluation information of the pre-transacted planning information as references for clients, so that the clients can further determine which current service or services the first service tends to transact for based on the reference information, and the client satisfaction degree can be further improved.
Fifth embodiment:
the present embodiment further provides the following on the basis of the third or fourth embodiment:
as shown in fig. 5, step S103 specifically further includes:
in step S501, the first evaluation information and the second evaluation information are compared to obtain comparison information.
Step S502, displaying ideal handling planning information, first evaluation information and second evaluation information to the customer, and displaying comparison information to the customer as a reference for the customer to select the first service.
By implementing the embodiment, the display of the comparison information can further intuitively provide selection references for clients, and further improve the satisfaction of the clients.
Example six:
fig. 6 shows the structure of a computing system provided in a sixth embodiment of the present invention, and for convenience of explanation, only the portions relevant to the embodiment of the present invention are shown, including:
The obtaining unit 601 is configured to obtain a service handling pre-request of a client, where the service handling pre-request carries a current client identity ID and a current service attribute feature.
The query unit 602 is configured to query, according to the service handling pre-request and the preset correspondence between the client ID, the policy information and the service attribute feature, current policy information matching with the current client ID and having the current service attribute feature, where the policy information includes: the service information corresponding to the service attribute features includes: current service information corresponding to the current service attribute feature.
The analysis unit 603 is configured to analyze the current service indicated by the current service information according to a preset analysis policy, so as to obtain the transacted planning result information of the current service. The method comprises the steps of,
and the display unit 604 is used for displaying the processing planning result information to the client so as to guide the client to process the current service.
In this embodiment, the functions implemented by each unit in the computing system are consistent with those of the corresponding portions in the foregoing method embodiments, and will not be described herein.
In this embodiment, each unit of the computing system may be implemented by a corresponding hardware or software unit, and each unit may be an independent software or hardware unit, or may be integrated into one software or hardware unit, which is not used to limit the present invention.
Embodiment seven:
fig. 7 shows the structure of the service robot device provided in the seventh embodiment of the present invention, and for convenience of explanation, only the portions related to the embodiment of the present invention are shown.
The service robot device according to the embodiment of the present invention includes a processor 701 and a memory 702, and when the processor 701 executes a computer program 703 stored in the memory 702, the steps in the above-described respective method embodiments are implemented, for example, steps S101 to S104 shown in fig. 1. Alternatively, the processor 701, when executing the computer program 703, implements the functions of the units in the above-described embodiments of the apparatus, for example, the functions of the units 601 to 604 shown in fig. 6.
The service robot device of the embodiment of the invention can be a robot entity with a man-machine interaction module. The human-machine interaction module may comprise a touch screen, a microphone, a speaker, etc. In the device, other functional modules may be configured accordingly, for example: network modules, etc. When the processor 701 executes the computer program 703 in the apparatus, the steps for implementing the above methods may refer to the descriptions of the foregoing method embodiments, which are not repeated herein.
Example eight:
in an embodiment of the present invention, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps in the above-described method embodiments, for example, steps S101 to S104 shown in fig. 1. Alternatively, the computer program, when executed by a processor, performs the functions of the units in the above-described apparatus embodiments, for example, the functions of the units 601 to 604 shown in fig. 6.
The execution illustrated in fig. 6 or 7 is implemented by hardware components, devices, units, modules, means, and other components of the operations described herein with respect to fig. 1-5. Examples of hardware components include controllers, sensors, generators, drivers, memories, comparators, arithmetic logic units, adders, subtractors, multipliers, dividers, integrators, processors, and any other electronic components known to one of ordinary skill in the art configured to perform the operations described herein. In one example, the hardware components are implemented by one or more processors or computers. The processor or computer is implemented by one or more processing elements, such as an array of logic gates, a controller and arithmetic logic unit, a digital signal processor, a microcomputer, a programmable logic controller, a field programmable gate array, a programmable logic array, a microprocessor, or any other device or combination of devices known to those of ordinary skill in the art that is capable of responding to and executing instructions in a defined manner to achieve a desired result.
In one example, a processor or computer includes or is connected to one or more memories storing instructions or software to be executed by the processor or computer. Instructions or software (such as an operating system OS and one or more software applications running on the OS) are executed by a processor or computer-implemented hardware component to perform the operations described herein with respect to fig. 1-5. The hardware components also access, manipulate, process, create, and store data in response to execution of instructions or software. For simplicity, the singular term "processor" or "computer" may be used in describing the examples described herein, but in other examples, multiple processors or computers are used, or a processor or computer includes multiple processing elements or multiple types of processing elements, or both. In one example, the hardware component includes a plurality of processors, and in another example, the hardware component includes a processor and a controller. The hardware components have any one or more of a variety of processing configurations, examples of which include single processor, stand alone processor, parallel processor, single instruction single data SISD multiprocessing, single instruction multiple data SIMD multiprocessing, multiple instruction single data MISD multiprocessing, and multiple instruction multiple data MIMD multiprocessing.
The methods illustrated in fig. 1-5 to perform the operations described in the present application are performed by computing hardware (e.g., by one or more processors or computers) implemented as executing instructions or software as described above to perform the operations performed by the methods described in the present application. For example, a single operation or two or more operations may be performed by a single processor, or two or more processors, or a processor and controller. One or more operations may be performed by one or more processors, or by one or more other processors, or by another processor and another controller. One or more processors, or processors and controllers, may perform a single operation or two or more operations. Instructions or software for controlling a processor or computer to implement hardware components and perform the methods as described above may be written as computer programs, code segments, instructions, or any combination thereof to individually or collectively instruct or configure the processor or computer to operate as a machine or special purpose computer for performing the operations performed by the hardware components and the methods as described above. In one example, the instructions or software include machine code that is executed directly by a processor or computer, such as machine code produced by a compiler. In another example, the instructions or software include higher-level code that is executed by a processor or computer using an interpreter. Instructions or software may be readily written by one of ordinary skill in the art based on the block diagrams and flowcharts shown in the figures and the corresponding description in the specification that disclose algorithms for performing the operations performed by the hardware components and methods described above.
Instructions or software for controlling a processor or computer-implemented hardware component and performing the methods described above, as well as any associated data, data files, and data structures, may be recorded, stored, or fixed in or on one or more non-transitory computer-readable storage media. Examples of the non-transitory computer readable storage medium include: read-only memory ROM, random-access memory RAM, flash memory, CD-ROM, CD-R, CD + R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD + R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, magnetic tape, floppy disk, magneto-optical data storage, hard disk, solid state disk, and any other means known to those of ordinary skill in the art, which are capable of storing instructions or software and any associated data, data files, and data structures in a non-transitory manner and providing the instructions or software and any associated data, data files, and data structures to a processor or computer for the processor or computer to be able to execute the instructions. In one example, the instructions or software and any associated data, data files, and data structures are distributed over a networked computer system such that the instructions and software and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner by a processor or computer.
Although the present disclosure includes specific examples, it will be apparent to those of ordinary skill in the art after obtaining a comprehensive understanding of the disclosure of the subject application: various changes in form and detail may be made therein without departing from the spirit and scope of the claims and their equivalents. The examples described herein should be considered in descriptive sense only and not for purposes of limitation. The description of features or aspects in each example will be considered to be applicable to similar features or aspects in other examples. Suitable results may be achieved if the described techniques are performed in a different order and/or if components in the described systems, architectures, devices or circuits are combined in a different manner and/or are replaced or supplemented by other components or their equivalents. Thus, the scope of the disclosure is defined not by the detailed description but by the claims and their equivalents, and all changes within the scope of the claims and their equivalents are to be construed as being included in the disclosure.
Claims (7)
1. A robot-based operation guidance method, the method comprising:
obtaining an operation pre-request of a user, wherein the operation pre-request carries a current user Identity (ID) and current operation attribute characteristics;
According to the operation pre-request and the corresponding relation among the preset user Identity (ID), the operation object information and the operation attribute characteristics, inquiring the current operation object information matched with the current user Identity (ID) and provided with the current operation attribute characteristics, wherein the operation object information comprises: operation information corresponding to the operation attribute features, wherein the current operation object information comprises: current operation information corresponding to the current operation attribute feature, the operation information including: operating the stepwise feedback;
displaying the current operation object information and the current operation information to the user, and providing the user with option information for selecting a certain first operation which tends to be preferentially executed from the current operation indicated by the current operation information;
obtaining pre-selected information of the user on a second operation from the option information;
analyzing the current operation according to the pre-selected information and a preset strategy to obtain pre-execution guide information based on the relatively higher priority execution level of the second operation;
analyzing the current operation according to the preset strategy to obtain ideal execution guide information based on a relatively higher priority execution level of a third operation;
Obtaining ideal operation arrangement conditions of the ideal execution guide information and pre-operation arrangement conditions in the pre-execution guide information;
obtaining ideal evaluation conditions matched with the ideal operation arrangement conditions and serving as first evaluation information according to the operation stage feedback and a preset feedback evaluation strategy, obtaining the first evaluation information, and obtaining pre-estimated conditions matched with the pre-operation arrangement conditions and serving as second evaluation information, and obtaining the second evaluation information;
displaying the pre-execution guide information, the ideal execution guide information, the first evaluation information and the second evaluation information to the user as references for the user to select a certain first operation which tends to be preferentially executed from the current operation;
obtaining a selection result of the user on the option information;
and according to the selection result, displaying operation guiding result information based on the relatively higher priority execution level of the first operation to the user so as to guide the user to execute the current operation.
2. The method according to claim 1, wherein the analyzing the current operation indicated by the current operation information according to a preset policy specifically includes:
Displaying the current operation object information and the current operation information to the user, and providing the user with option information for selecting a certain first operation which tends to be preferentially executed from the current operation;
obtaining a selection result of the user on the option information;
and analyzing the current operation according to the selection result and the strategy to obtain the operation guiding result information based on the relatively higher priority execution level of the first operation.
3. The method of claim 1, wherein the analyzing the current operation indicated by the current operation information according to a preset policy, further comprises:
comparing the first evaluation information with the second evaluation information to obtain comparison information;
the comparison information is presented to the user as a reference for the user to select the first operation while presenting the ideal execution guide information, the first evaluation information, and the second evaluation information to the user.
4. The method of claim 1, wherein the ideal estimate and the pre-estimate are both time-dependent;
And inquiring the current operation object information matched with the current user identity ID and provided with the current operation attribute characteristics, wherein a fuzzy matching algorithm is adopted.
5. A computing system, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring an operation pre-request of a user, and the operation pre-request carries a current user Identity (ID) and a current operation attribute characteristic;
the query unit is configured to query current operation object information with the current operation attribute feature, which is matched with the current user identity ID, according to the operation pre-request and a preset correspondence between the user identity ID, the operation object information and the operation attribute feature, where the operation object information includes: operation information corresponding to the operation attribute features, wherein the current operation object information comprises: current operation information corresponding to the current operation attribute feature, the operation information including: operating the stepwise feedback;
an analysis unit configured to display the current operation object information and the current operation information to the user, and provide the user with option information for selecting a certain first operation, which tends to be preferentially executed, from among the current operations indicated by the current operation information;
Obtaining pre-selected information of the user on a second operation from the option information;
analyzing the current operation according to the pre-selected information and a preset strategy to obtain pre-execution guide information based on the relatively higher priority execution level of the second operation;
analyzing the current operation according to the preset strategy to obtain ideal execution guide information based on a relatively higher priority execution level of a third operation;
obtaining ideal operation arrangement conditions of the ideal execution guide information and pre-operation arrangement conditions in the pre-execution guide information;
obtaining ideal evaluation conditions matched with the ideal operation arrangement conditions and serving as first evaluation information according to the operation stage feedback and a preset feedback evaluation strategy, obtaining the first evaluation information, and obtaining pre-estimated conditions matched with the pre-operation arrangement conditions and serving as second evaluation information, and obtaining the second evaluation information;
displaying the pre-execution guide information, the ideal execution guide information, the first evaluation information and the second evaluation information to the user as references for the user to select a certain first operation which tends to be preferentially executed from the current operation;
Obtaining a selection result of the user on the option information; the method comprises the steps of,
and the display unit is used for displaying operation guiding result information based on the relatively higher priority execution level of the first operation to the user according to the selection result so as to guide the user to execute the current operation.
6. A robotic device comprising a memory and a processor, wherein the processor performs the steps of the method of any one of claims 1 to 4 when executing a computer program stored in the memory.
7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 4.
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