A call docking method and device for docking various types of intelligent AI input parameter formats

Abstract

The present invention provides a call docking method and device for docking various types of intelligent AI input parameter formats, including the following steps: S10, building a call docking platform for docking intelligent AI input parameters, and creating an independent recognition model for each type of intelligent AI, the independent recognition model includes input parameter rules for identifying intelligent AI input parameters, and the input parameter rules include required parameters, unified parameters and specified parameters; S20, obtaining the intelligent AI input parameter format signal, and determining the specified independent recognition model according to the intelligent AI input parameter format signal; S30, the independent recognition model identifies the intelligent AI input parameter format signal, and converts the current intelligent AI input parameter format signal into a standard input parameter format signal; the present invention allows each manufacturer to call in to the call docking platform, and the call docking platform receives the call and provides services to the real called party at the same time. After the called party is connected, the two parties are bridged to complete the call between the robot and the called party, unify the interface output of each manufacturer to the outside, and shield the docking difficulty of each manufacturer.

Description

Technical Field

[0001] The present invention relates to the field of robot management technology, and in particular to a call docking method and device for docking various types of intelligent AI input parameter formats. Background Art

[0002] The outbound calling methods and parameter input formats provided by robot manufacturers in the industry are not uniform, making it difficult for customers to connect with multiple manufacturers at the same time.

[0003] The call connection method of robots of the same type is limited by the robot manufacturer, and the task rules cannot be controlled. Inbound call connection is not supported.

[0004] To this end, a call docking method and device for docking various types of intelligent AI input formats are proposed. Summary of the invention

[0005] In view of this, the embodiments of the present invention hope to provide a call docking method and device for docking various types of intelligent AI input parameter formats to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0006] The technical solution of the embodiment of the present invention is implemented as follows: a call docking method for docking various types of intelligent AI input parameter formats, comprising the following steps:

[0007] S10. Build a call docking platform for docking intelligent AI input parameters, and create an independent recognition model for each type of intelligent AI. The independent recognition model includes input parameter rules for identifying intelligent AI input parameters. The input parameter rules include required parameters, unified parameters, and specified parameters.

[0008] S20, obtaining an intelligent AI input parameter format signal, and determining a designated independent recognition model according to the intelligent AI input parameter format signal;

[0009] S30, the independent recognition model recognizes the intelligent AI input parameter format signal, and converts the current intelligent AI input parameter format signal into a standard input parameter format signal;

[0010] S40. Initiate a call application to the real called party, and after the application is successful, send the converted AI input parameter format signal to the real called party to complete the call between the robot and the called party.

[0011] Further preferably: in said S10, when the call docking platform is established, the following steps are also included;

[0012] S11. Establish an independent recognition model for recognizing intelligent AI input format signals;

[0013] S12. Obtain input data of intelligent AI robot manufacturers;

[0014] S13. Equip each intelligent AI robot manufacturer with a designated independent recognition model;

[0015] S14. Input the input data of the intelligent AI robot manufacturer into the corresponding independent recognition model.

[0016] Further preferably: in the S20, when the intelligent AI input parameter format signal is acquired, the following steps are also included:

[0017] S21, detecting whether there is an intelligent AI call application;

[0018] S22. When receiving an intelligent AI call request, obtain current intelligent AI input information;

[0019] S23. Select a designated independent recognition model based on the current intelligent AI input parameter information obtained.

[0020] Further preferably: in the S30, when the independent recognition model recognizes the intelligent AI input parameter format signal, the following steps are also included:

[0021] S31. Obtain an input parameter format signal of the intelligent AI;

[0022] S32. Determine the expression meaning of the current intelligent AI input parameter format signal according to the input parameter rule;

[0023] S33. Convert the current intelligent AI input parameter format to a specified format according to the input parameter rule.

[0024] Further preferably, in said S40, when initiating a call request to the real called party, the following steps are also included:

[0025] S41, the call connection platform initiates a call request to the user;

[0026] S42: After the user accepts the call request, feedback is sent to the call connection platform;

[0027] S43. The call docking platform bridges the real called party and the intelligent AI robot manufacturer.

[0028] Further preferably, when the call docking platform is docked with the intelligent AI robot manufacturer, it also includes:

[0029] When receiving a call signal, determine whether the current call application is from an intelligent AI robot manufacturer;

[0030] When it is determined that the current call application is from an intelligent AI robot manufacturer, the specified independent recognition model is matched;

[0031] When it is determined that the current call application is not from an intelligent AI robot manufacturer, the call application is canceled and the source of the current call signal is marked. When the number of markings is X, when the current call application is received again, the call application is directly rejected. X is the number of markings, and the X value is a custom setting.

[0032] Further preferably, the call docking platform determines a designated independent recognition model for the current intelligent AI input parameter, and further includes:

[0033] The call docking platform is set up to manage the administrator of the input parameter format;

[0034] Get the current intelligent AI input parameter format;

[0035] Initiate a matching application based on the current intelligent AI input format;

[0036] After the match is successful, the independent recognition model is determined;

[0037] After the match fails, a temporary independent recognition model is created and a failure signal is sent to the administrator. The administrator takes over the current intelligent AI input parameter format matching application and creates a new conversion model for the current intelligent AI input parameter format to convert it into a standard input parameter format signal.

[0038] In order to solve the above technical problems, another technical solution adopted by the present application is: a call docking device for docking various types of intelligent AI input parameter formats, comprising:

[0039] The server platform comprises:

[0040] An acquisition module, which is used to obtain input parameter formats of various types of intelligent AI;

[0041] A storage module, which is used to store the acquired input parameter formats of various types of intelligent AI;

[0042] A communication module, wherein the communication module is used for data communication;

[0043] A matching module, the matching module is used to match an independent recognition model for the robot manufacturer applied for the current call;

[0044] A conversion module, which is used to convert the intelligent AI input parameter format of the current incoming call into a universal input parameter format.

[0045] To solve the above technical problems, another technical solution adopted in the present application is: a computer device, comprising a processor and a memory coupled to the processor, wherein program instructions are stored in the memory, and when the program instructions are executed by the processor, the processor executes the steps of the call docking method for docking various types of intelligent AI input parameter formats as described in any one of the above claims.

[0046] In order to solve the above technical problems, another technical solution adopted in the present application is: a storage medium storing program instructions capable of implementing a call docking method for docking various types of intelligent AI input parameter formats as described in any of the above items.

[0047] The embodiment of the present invention has the following advantages due to the adoption of the above technical solution:

[0048] The present invention enables each manufacturer to send incoming calls to a call docking platform. The call docking platform receives the incoming calls and provides services to the real called party at the same time. After the called party is connected, the two parties are bridged to complete the call between the robot and the called party, unify the external output of the interfaces of each manufacturer, and shield the docking difficulties of each manufacturer.

[0049] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 The figure is a flow chart of the call connection method of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0054] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0055] like Figure 1 As shown, an embodiment of the present invention provides a call docking method for docking various types of intelligent AI input parameter formats, including the following steps:

[0056] S10. Build a call docking platform for docking intelligent AI input parameters, and create an independent recognition model for each type of intelligent AI. The independent recognition model includes input parameter rules for identifying intelligent AI input parameters. The input parameter rules include required parameters, unified parameters, and specified parameters.

[0057] When setting up the call docking platform, the following steps are also included:

[0058] S11. Establish an independent recognition model for recognizing intelligent AI input format signals;

[0059] S12. Obtain input data of intelligent AI robot manufacturers;

[0060] S13. Equip each intelligent AI robot manufacturer with a designated independent recognition model;

[0061] S14. Input the input data of the intelligent AI robot manufacturer into the corresponding independent recognition model;

[0062] S20, obtaining an intelligent AI input parameter format signal, and determining a designated independent recognition model according to the intelligent AI input parameter format signal;

[0063] When the intelligent AI input parameter format signal is obtained, the following steps are also included:

[0064] S21, detecting whether there is an intelligent AI call application;

[0065] S22. When receiving an intelligent AI call request, obtain current intelligent AI input information;

[0066] S23. Select a designated independent recognition model according to the current intelligent AI input parameter information obtained;

[0067] S30, the independent recognition model recognizes the intelligent AI input parameter format signal, and converts the current intelligent AI input parameter format signal into a standard input parameter format signal;

[0068] When the independent recognition model recognizes the intelligent AI input parameter format signal, the following steps are also included:

[0069] S31. Obtain an input parameter format signal of the intelligent AI;

[0070] S32. Determine the expression meaning of the current intelligent AI input parameter format signal according to the input parameter rule;

[0071] S33, converting the current intelligent AI input parameter format into a specified format according to the input parameter rule;

[0072] S40, initiating a call application to the real called party, and after the application is successful, sending the converted AI input parameter format signal to the real called party, completing the call between the robot and the called party;

[0073] When initiating a call request to a real called party, the following steps are also included:

[0074] S41, the call connection platform initiates a call request to the user;

[0075] S42: After the user accepts the call request, feedback is sent to the call connection platform;

[0076] S43. The call docking platform bridges the real called party and the intelligent AI robot manufacturer.

[0077] In this embodiment, specifically: when the call docking platform is docked with the intelligent AI robot manufacturer, it also includes:

[0078] When receiving a call signal, determine whether the current call application is from an intelligent AI robot manufacturer;

[0079] When it is determined that the current call application is from an intelligent AI robot manufacturer, the specified independent recognition model is matched;

[0080] When it is determined that the current call application is not from an intelligent AI robot manufacturer, the call application is canceled and the source of the current call signal is marked. When the number of markings is X, when the current call application is received again, the call application is directly rejected. X is the number of markings, and the X value is a custom setting.

[0081] In this embodiment, specifically: the call docking platform determines a designated independent recognition model for the current intelligent AI input parameter, and further includes:

[0082] The call docking platform is set up to manage the administrator of the input parameter format;

[0083] Get the current intelligent AI input parameter format;

[0084] Initiate a matching application based on the current intelligent AI input format;

[0085] After the match is successful, the independent recognition model is determined;

[0086] After the match fails, a temporary independent recognition model is created and a failure signal is sent to the administrator. The administrator takes over the current intelligent AI input parameter format matching application and creates a new conversion model for the current intelligent AI input parameter format to convert it into a standard input parameter format signal.

[0087] In order to solve the above technical problems, another technical solution adopted by the present application is: a call docking device for docking various types of intelligent AI input parameter formats, comprising:

[0088] The server platform comprises:

[0089] An acquisition module, which is used to obtain input parameter formats of various types of intelligent AI;

[0090] A storage module, which is used to store the acquired input parameter formats of various types of intelligent AI;

[0091] A communication module, wherein the communication module is used for data communication;

[0092] A matching module, the matching module is used to match an independent recognition model for the robot manufacturer applied for the current call;

[0093] A conversion module, which is used to convert the intelligent AI input parameter format of the current incoming call into a universal input parameter format.

[0094] For other details about the technical solutions for implementing each module of the call docking device for docking various types of intelligent AI input parameter formats in the above embodiment, please refer to the description of the block-level backup method for excluding files in the above embodiment, which will not be repeated here.

[0095] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0096] To solve the above technical problems, another technical solution adopted in the present application is: a computer device, comprising a processor and a memory coupled to the processor, wherein program instructions are stored in the memory, and when the program instructions are executed by the processor, the processor executes the steps of the call docking method for docking various types of intelligent AI input parameter formats as described in any one of the above claims.

[0097] The processor is called CPU (Central Processing Unit). The processor is an integrated circuit chip that has the ability to process signals. The processor can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. A general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0098] In order to solve the above technical problems, another technical solution adopted in the present application is: a storage medium storing program instructions capable of implementing a call docking method for docking various types of intelligent AI input parameter formats as described in any of the above items.

[0099] Among them, the program instructions can be stored in the above-mentioned storage medium in the form of a software product, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, or computer devices such as computers, servers, mobile phones, and tablets. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0100] In the several embodiments provided in the present application, it should be understood that the disclosed terminals, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0101] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the description and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A call docking method for docking various types of intelligent AI input parameter formats, characterized in that: The following steps are involved: S10, building a call docking platform for docking intelligent AI input, and creating an independent recognition model for each type of intelligent AI, the independent recognition model includes input rules for identifying intelligent AI input, and the input rules include required parameters, unified parameters and specified parameters; when building the call docking platform, the following steps are also included; S11. Establish an independent recognition model for recognizing intelligent AI input format signals; S12. Obtain input data of intelligent AI robot manufacturers; S13. Equip each intelligent AI robot manufacturer with a designated independent recognition model; S14. Input the input data of the intelligent AI robot manufacturer into the corresponding independent recognition model; S20, obtaining an intelligent AI input parameter format signal, and determining a designated independent recognition model according to the intelligent AI input parameter format signal; when the intelligent AI input parameter format signal is obtained, the following steps are also included: S21, detecting whether there is an intelligent AI call application; S22. When receiving an intelligent AI call request, obtain current intelligent AI input information; S23. Select a designated independent recognition model according to the current intelligent AI input parameter information obtained; S30, the independent recognition model recognizes the intelligent AI input parameter format signal, and converts the current intelligent AI input parameter format signal into a standard input parameter format signal; when the independent recognition model recognizes the intelligent AI input parameter format signal, the following steps are also included: S31, obtaining an input parameter format signal of the intelligent AI; S32. Determine the expression meaning of the current intelligent AI input parameter format signal according to the input parameter rule; S33, converting the current intelligent AI input parameter format into a specified format according to the input parameter rule; S40. Initiate a call application to the real called party, and after the application is successful, send the converted AI input parameter format signal to the real called party to complete the call between the robot and the called party.

2. According to claim 1, a call docking method for docking various types of intelligent AI input parameter formats is characterized by: In the above S40, when initiating a call request to the real called party, the following steps are also included: S41, the call connection platform initiates a call request to the user; S42: After the user accepts the call request, feedback is sent to the call connection platform; S43. The call docking platform bridges the real called party and the intelligent AI robot manufacturer.

3. According to claim 1, a call docking method for docking various types of intelligent AI input parameter formats is characterized by: When the call docking platform is docked with the intelligent AI robot manufacturer, it also includes: When receiving a call signal, determine whether the current call application is from an intelligent AI robot manufacturer; When it is determined that the current call application is from an intelligent AI robot manufacturer, the specified independent recognition model is matched; When it is determined that the current call application is not from an intelligent AI robot manufacturer, the call application is canceled and the source of the current call signal is marked. When the number of markings is X, when the current call application is received again, the call application is directly rejected. X is the number of markings, and the X value is a custom setting.

4. According to claim 1, a call docking method for docking various types of intelligent AI input parameter formats is characterized by: The call docking platform determines a specified independent recognition model for the current intelligent AI input parameter, and also includes: The call docking platform is set up to manage the administrator of the input parameter format; Get the current intelligent AI input parameter format; Initiate a matching application based on the current intelligent AI input format; After the match is successful, the independent recognition model is determined; After the match fails, a temporary independent recognition model is created and a failure signal is sent to the administrator. The administrator takes over the current intelligent AI input parameter format matching application and creates a new conversion model for the current intelligent AI input parameter format to convert it into a standard input parameter format signal.

5. A device for docking calls of various types of intelligent AI input parameter formats according to any one of claims 1 to 4, characterized in that: include: The server platform comprises: An acquisition module, which is used to obtain input parameter formats of various types of intelligent AI; A storage module, which is used to store the acquired input parameter formats of various types of intelligent AI; A communication module, wherein the communication module is used for data communication; A matching module, the matching module is used to match an independent recognition model for the robot manufacturer applied for the current call; A conversion module, which is used to convert the intelligent AI input parameter format of the current incoming call into a universal input parameter format.

6. A computer device, characterized in that: The computer device includes a processor and a memory coupled to the processor, wherein program instructions are stored in the memory, and when the program instructions are executed by the processor, the processor executes the steps of the call docking method for docking various types of intelligent AI input parameter formats as described in any one of claims 1 to 4.

7. A storage medium, characterized in that: Program instructions are stored that can implement a call docking method for docking various types of intelligent AI input parameter formats as described in any one of claims 1-4.

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