CN111400071B - Artificial intelligence service docking method, system and equipment - Google Patents
Artificial intelligence service docking method, system and equipment Download PDFInfo
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- CN111400071B CN111400071B CN202010278236.7A CN202010278236A CN111400071B CN 111400071 B CN111400071 B CN 111400071B CN 202010278236 A CN202010278236 A CN 202010278236A CN 111400071 B CN111400071 B CN 111400071B
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- 238000003032 molecular docking Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000013473 artificial intelligence Methods 0.000 title claims description 63
- 238000012827 research and development Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims abstract description 7
- 238000004891 communication Methods 0.000 claims abstract description 6
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 230000006870 function Effects 0.000 claims description 66
- 230000008859 change Effects 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 6
- 238000010230 functional analysis Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 2
- 238000012795 verification Methods 0.000 claims description 2
- 238000012217 deletion Methods 0.000 claims 1
- 230000037430 deletion Effects 0.000 claims 1
- 238000004590 computer program Methods 0.000 description 12
- 230000004044 response Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000007726 management method Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 2
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- 238000004458 analytical method Methods 0.000 description 1
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- 238000013135 deep learning Methods 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/547—Remote procedure calls [RPC]; Web services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/541—Client-server
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/54—Indexing scheme relating to G06F9/54
- G06F2209/549—Remote execution
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Abstract
The invention provides an artificial intelligent service docking method, an artificial intelligent service docking system and equipment, wherein the artificial intelligent service docking system is provided with a front-end service unit, a rear-end service unit and a database unit, wherein the front-end service unit displays user information and user application information, uses an artificial intelligent demonstration function and displays demonstration results, the rear-end service unit receives an access request sent by the front-end service unit and a request under the research and development condition and forwards the request to the artificial intelligent function to acquire the function results, and simultaneously processes a function service, the database unit stores the user information and data information generated by calling the artificial intelligent function service, and the artificial intelligent service docking system performs communication interaction through an artificial intelligent interface, wherein data between the front-end service unit and the rear-end service unit comprise account service data, application service data and intelligent product service data.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an artificial intelligence service docking method, an artificial intelligence service docking system and an artificial intelligence service docking device.
Background
Artificial intelligence (Artificial Intelligence, AI), also known as machine intelligence, refers to the intelligence exhibited by machines manufactured by humans, i.e., humanoid intelligent technology implemented by means of a common computer program. Since the 1956 DattMaos conference presented the concept of "artificial intelligence," which has undergone a 60-year development history of alternating winter and climax. After 2010, the development of deep learning has driven the technology of speech recognition, image recognition and natural language processing to make a striking breakthrough, and the unprecedented artificial intelligence commercialization and globalization wave mats come into play. Under the background of the existing artificial intelligence, because of the images of various factors such as intelligent algorithm, calculation speed, storage level and the like, all service manufacturers are in full bloom, and have the same emphasis on each part of the same capacity and different recognition effects, the platform synthesizes the dominant products of all manufacturers on the artificial intelligence market, interfaces with services such as multiple voices, certificates, losses, faces and the like, and evaluates the optimal manufacturer recognition results through schemes; meanwhile, unified access is realized, distribution is carried out inside, and a single request can be subjected to shunt operation, so that the burden of a server is reduced; multiple requests can be synchronously and concurrently selected to obtain the optimal answer.
In the aspect of platform construction, a perfect account system is provided, one-time registration can be realized, the account information can be used in multiple ways, and the complicated process of repeated registration is avoided; the access is convenient and quick, the function effect can be experienced in real time through the platform, the access can be independently developed, and the application can be realized; the details are monitored in place and the data is monitored specifically for each record (sensitive information desensitization process).
The identification accuracy rate of AI capability in the existing market is different, the identification is focused on different types, so that the same capability parameter is larger in difference, the identification accuracy rate of different capabilities of the same manufacturer is also different, the image used by a user is larger, and even the popularization and the use of the service are influenced.
Disclosure of Invention
The invention aims to provide an artificial intelligence service docking method, an artificial intelligence service docking system and an artificial intelligence service docking device, which effectively solve the problem of access diversity of artificial intelligence capability, reduce access cost, unify access specifications, monitor and manage artificial intelligence data and provide data support for subsequent analysis and optimization.
In order to achieve at least one object of the present invention, the present invention provides an artificial intelligence service docking system, which is provided with a front-end service unit, a back-end service unit, and a database unit, wherein the front-end service unit displays user information and user application information, uses an artificial intelligence presentation function, and displays a presentation result, the back-end service unit receives an access request and a request under development sent by the front-end service unit, forwards the request to the artificial intelligence function to acquire a function result, and processes a function service, the database unit stores user information and data information generated by invoking the artificial intelligence function service, and the artificial intelligence service docking system performs communication interaction through an artificial intelligence interface, wherein data between the front-end service unit and the back-end service unit includes account service data, application service data, and intelligent product service data.
In some embodiments, wherein the front-end service unit provides an artificial intelligence platform official network, the back-end service unit provides an artificial intelligence platform official network background, and the artificial intelligence service docking system is further provided with a distribution layer unit, the distribution layer unit provides an artificial intelligence platform micro service, wherein intelligent product service class operations are completed to the artificial intelligence platform micro service through the artificial intelligence platform official network background.
In some embodiments, wherein the intelligent service function is distributed and invoked by the artificial intelligence platform micro-service delivery identity.
In some embodiments, the intelligent service functions are intelligent voice functions, three card-over-one card functions, intelligent impairment functions, and face alignment functions.
In some embodiments, the results are returned to the artificial intelligence platform micro-service after the intelligent service function is implemented.
In some embodiments, the intelligent service return result is returned to the artificial intelligent platform officer background through the artificial intelligent platform micro service.
In some embodiments, the intelligent service return results are returned to the artificial intelligent platform officer network and presented through the artificial intelligent platform officer network background.
According to another aspect of the present invention, there is also provided an artificial intelligence service interfacing method including the steps of:
responding to an access request of an artificial intelligence service officer network user, calling an artificial intelligence demonstration page corresponding to the user selection, and transmitting data to a background;
checking configuration in a background access management platform according to the transferred data;
performing functional analysis and service distribution to specific interface services through the distribution layer micro services;
after the feedback result of the related function is obtained, the interface function data information is changed while the micro-service is returned to the back end through the distribution layer; and
after the background changes the access data information, the result is returned to the front end and displayed.
In some embodiments, wherein the artificial intelligence service docking method further comprises the steps of:
responding to an access request of a research and development user, a distribution layer micro-service acquires an artificial intelligent interface function appointed by an external research and development project, and acquires function feedback result change interface function data information; and
and the distribution layer micro-service returns the result to the research and development project calling end.
According to another aspect of the present invention, there is also provided an artificial intelligence service docking apparatus including:
a software application;
a memory for storing the software application; and
a processor for executing the software application;
wherein the software application includes a web user response program and a develop user response program,
the web user response program is configured to:
responding to an access request of an artificial intelligence service officer network user, calling an artificial intelligence demonstration page corresponding to the user selection, and transmitting data to a background;
checking configuration in a background access management platform according to the transferred data;
performing functional analysis and service distribution to specific interface services through the distribution layer micro services;
after the feedback result of the related function is obtained, the interface function data information is changed while the micro-service is returned to the back end through the distribution layer; and
after the background changes the access data information, returning the result to the front end and displaying the result;
wherein the develop user response program is configured to:
responding to an access request of a research and development user, a distribution layer micro-service acquires an artificial intelligent interface function appointed by an external research and development project, and acquires function feedback result change interface function data information; and
and the distribution layer micro-service returns the result to the research and development project calling end.
Drawings
FIG. 1 is a business view schematic diagram of an artificial intelligence service docking system in accordance with one embodiment of the present invention.
Fig. 2 is an architectural diagram of the artificial intelligence service docking system according to the above embodiment of the present invention.
FIG. 3 is a data processing flow diagram of an artificial intelligence service docking method in accordance with one embodiment of the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
Referring to fig. 1 and 2, an artificial intelligence service docking system in accordance with an embodiment of the present invention is shown. Specifically, in this embodiment, a business view of the artificial intelligence service docking system is shown in fig. 1, showing the data flow of the artificial intelligence service docking system.
Specifically, the business data between the front-end artificial intelligent platform official network and the back-end artificial intelligent platform official network background comprises account service class, application service class and intelligent product service class. The account service class comprises account registration, login, verification, password modification, password resetting and real-name authentication. The application service class includes creating an application, modifying an application, and deleting an application. The smart product service class includes smart product presentations.
Further, the intelligent product service class operation is completed to the distribution layer artificial intelligent platform micro-service through the background of the rear-end artificial intelligent platform official network.
Further, the intelligent service specific functions, such as intelligent voice, three-card-one card, intelligent damage assessment and face comparison and the like, are distributed and called through the distribution layer artificial intelligent platform micro-service transfer identification.
Further, after the specific intelligent service function is realized, a result is returned to the micro-service of the distribution layer artificial intelligent platform.
Further, the intelligent service return result is returned to the back end through the distribution layer.
Further, the intelligent service return result is returned to the front end through the back end and displayed.
As shown in fig. 2, the artificial intelligence service docking system is provided with a front-end service unit 10, a back-end service unit 20, a back-end application unit 30, and a database unit 40. Communication interaction with the front-end service unit 10 is realized through an intelligent AI interface function, and the communication mode mainly adopts an Http Client mode. Http Client is a sub-item under Apache Jakarta Common to provide an efficient, up-to-date, function-rich Client programming toolkit supporting the Http protocol, and it supports the latest version and advice of the Http protocol.
The front-end service unit 10 displays user information and user application information of the platform, uses an intelligent AI presentation function, and displays a presentation result.
The back-end service unit 20 receives the access request and the request under development sent by the front-end service unit 10, and forwards the request to a specific intelligent AI function to obtain a function result, and processes a function service.
The database unit 40 stores user-related information and data information generated by invoking the smart AI-function service.
Fig. 3 is a flow chart of data processing based on an artificial intelligent service interfacing method according to the present invention, and illustrates a solution for controlling or processing an external object or an internal object of a computer by executing a computer program programmed according to the above flow on the basis of a computer program processing flow.
As shown in fig. 3, in a specific embodiment, a specific business process flow is:
the official network user: the user selects different artificial intelligence demonstration pages through the official network, data are transferred to the background through the page calling function, the background access management platform checks configuration, functional analysis and service distribution are carried out through the micro service to specific interface service, after the feedback result of the related function is obtained, interface function data information is changed while the micro service is returned to the rear end, and after the background access data information is changed, the result is returned to the front end and displayed.
The research and development user accesses the appointed artificial intelligent interface function through the micro-service by the external research and development project, acquires the function feedback result change interface function data information and returns the result to the research and development project calling end through the micro-service.
Further, the artificial intelligence service docking method comprises the following steps:
responding to an access request of an artificial intelligence service officer network user, calling an artificial intelligence demonstration page corresponding to the user selection, and transmitting data to a background;
checking configuration in a background access management platform according to the transferred data;
performing functional analysis and service distribution to specific interface services through the distribution layer micro services;
after the feedback result of the related function is obtained, the interface function data information is changed while the micro-service is returned to the back end through the distribution layer; and returning the result to the front end and displaying the result after the background changes the access data information.
Further, the artificial intelligence service docking method further comprises the following steps:
responding to an access request of a research and development user, a distribution layer micro-service acquires an artificial intelligent interface function appointed by an external research and development project, and acquires function feedback result change interface function data information; and
and the distribution layer micro-service returns the result to the research and development project calling end.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided in the form of a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Those skilled in the art will appreciate that the artificial intelligence service interfacing method of the present invention may be implemented by hardware, software, or a combination of hardware and software. The invention may be implemented in a centralized fashion in at least one computer system or in a distributed fashion where different elements are spread across several interconnected computer systems. Any kind of computer system or other apparatus adapted for carrying out the methods is suited. The combination of hardware and software may be a general-purpose computer system with a computer program installed thereon, and the computer system may be controlled to operate according to the method by installing and executing the program.
The present invention can be embedded in a computer program product, which comprises all the features enabling the implementation of the methods described herein. The computer program product is embodied in one or more computer-readable storage media having computer-readable program code embodied therein. According to another aspect of the present invention there is also provided a computer readable storage medium having stored thereon a computer program which when executed by a processor is capable of performing the steps of the artificial intelligence service docking method of the present invention. Computer storage media is the medium in computer memory that stores some discrete physical quantity. Computer storage media includes, but is not limited to, semiconductors, disk storage, magnetic cores, drums, tapes, laser disks, and the like. It will be appreciated by those skilled in the art that the computer storage media is not limited to the foregoing examples, which are provided by way of example only and are not limiting of the invention.
According to another aspect of the present invention, there is also provided an artificial intelligence service docking device, comprising: the system comprises a software application, a memory for storing the software application, and a processor for executing the software application. Each of the software applications is capable of correspondingly performing steps in the artificial intelligence service docking method of the present invention.
Specifically, the software application includes a web user response program and a develop user response program, the web user response program configured to:
responding to an access request of an artificial intelligence service officer network user, calling an artificial intelligence demonstration page corresponding to the user selection, and transmitting data to a background;
checking configuration in a background access management platform according to the transferred data;
performing functional analysis and service distribution to specific interface services through the distribution layer micro services;
after the feedback result of the related function is obtained, the interface function data information is changed while the micro-service is returned to the back end through the distribution layer; and returning the result to the front end and displaying the result after the background changes the access data information.
The develop user response program is configured to:
responding to an access request of a research and development user, a distribution layer micro-service acquires an artificial intelligent interface function appointed by an external research and development project, and acquires function feedback result change interface function data information; and
and the distribution layer micro-service returns the result to the research and development project calling end.
A typical combination of hardware and software could be a general purpose computer system with a computer program that, when being loaded and executed, controls the computer system such that it carries out the methods disclosed herein.
It will be appreciated by persons skilled in the art that the present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, systems and computer program products according to the invention. Each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and/or block diagram block or blocks.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from such principles.
Claims (2)
1. The system is characterized in that the system is provided with a front-end service unit, a back-end service unit and a database unit, wherein the front-end service unit displays user information and user application information, uses an artificial intelligence demonstration function and displays demonstration results, the back-end service unit receives an access request sent by the front-end service unit and a request under research and development conditions, and forwards the request to the artificial intelligence function to acquire a function result, and processes a function service at the same time, the database unit stores the user information and data information generated by calling the artificial intelligence function service, the system performs communication interaction through an artificial intelligence interface, and the communication mode is an Http Client mode, wherein data between the front-end service unit and the back-end service unit comprise account service data, application service data and intelligent product service data; the account service class comprises account registration, login, verification, password modification, password resetting and real-name authentication, the application service class comprises creation application, application modification and deletion application, and the intelligent product service class comprises intelligent product demonstration; the front-end service unit provides an artificial intelligent platform official network, the rear-end service unit provides an artificial intelligent platform official network background, the artificial intelligent service docking system is further provided with a distribution layer unit, the distribution layer unit provides an artificial intelligent platform micro-service, and intelligent product service class operation is completed to the artificial intelligent platform micro-service through the artificial intelligent platform official network background; wherein, the intelligent service function is distributed and called through the micro-service transfer identifier of the artificial intelligent platform; the intelligent service function is an intelligent voice function, a three-card-one-card function, an intelligent loss assessment function and a face comparison function; after the intelligent service function is realized, returning a result to the artificial intelligent platform micro service; the intelligent service return result is returned to the artificial intelligent platform official network background through the artificial intelligent platform micro service; returning an intelligent service return result to the artificial intelligent platform official network through the artificial intelligent platform official network background and displaying the intelligent service return result; the user selects different artificial intelligence demonstration pages through the official network, data are transferred to the background through the page calling function, the background access management platform checks configuration, functional analysis and service distribution are carried out through the micro service to specific interface service, after the feedback result of the related function is obtained, interface function data information is changed while the micro service is returned to the rear end, and after the background access data information is changed, the result is returned to the front end and displayed.
2. The artificial intelligence service docking system of claim 1, wherein the external development project accesses the designated artificial intelligence interface function through the micro-service, obtains the function feedback result change interface function data information and returns the result to the development project calling end through the micro-service.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108418862A (en) * | 2018-01-31 | 2018-08-17 | 金蝶软件（中国）有限公司 | Micro services management method and system based on artificial intelligence service cloud platform |
| CN109194604A (en) * | 2018-06-05 | 2019-01-11 | 平安科技（深圳）有限公司 | Interface automatic method, system, computer equipment and storage medium |
| CN109302321A (en) * | 2018-11-13 | 2019-02-01 | 珠海格力电器股份有限公司 | Server, business demand processing system, method and monitoring system |
| CN109828831A (en) * | 2019-02-12 | 2019-05-31 | 成都考拉悠然科技有限公司 | A kind of artificial intelligence cloud platform |
| CN110930117A (en) * | 2019-11-21 | 2020-03-27 | 中国银行股份有限公司 | Artificial intelligence micro service system |
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- 2020-04-10 CN CN202010278236.7A patent/CN111400071B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108418862A (en) * | 2018-01-31 | 2018-08-17 | 金蝶软件（中国）有限公司 | Micro services management method and system based on artificial intelligence service cloud platform |
| CN109194604A (en) * | 2018-06-05 | 2019-01-11 | 平安科技（深圳）有限公司 | Interface automatic method, system, computer equipment and storage medium |
| CN109302321A (en) * | 2018-11-13 | 2019-02-01 | 珠海格力电器股份有限公司 | Server, business demand processing system, method and monitoring system |
| CN109828831A (en) * | 2019-02-12 | 2019-05-31 | 成都考拉悠然科技有限公司 | A kind of artificial intelligence cloud platform |
| CN110930117A (en) * | 2019-11-21 | 2020-03-27 | 中国银行股份有限公司 | Artificial intelligence micro service system |
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