CN110930117A - Artificial intelligence micro service system - Google Patents
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Abstract
The invention provides an artificial intelligence micro-service system, which comprises a basic service layer, a micro-intelligence service layer and a comprehensive application layer, wherein the basic service layer is a basic service layer; the basic service layer comprises a plurality of artificial intelligence components, and the artificial intelligence components comprise encapsulated artificial intelligence functional units; the micro intelligent service layer comprises a service layer configuration file and an artificial intelligence service; the artificial intelligence service comprises a single service and a combined service; the service layer configuration file stores the calling relation between the artificial intelligence service and the artificial intelligence assembly; the comprehensive application layer comprises a process configuration engine and an interface management module; the flow configuration engine is used for configuring the calling relationship between the upper application and the artificial intelligence service; the interface management module is used for storing the interface information of each artificial intelligence service. The basic service layer in the invention realizes the atomization and pluggable of the artificial intelligent components, the micro-intelligent service layer realizes the servitization and combinability, and the comprehensive application layer realizes the standardized and configurable performance, thereby reducing the system maintenance cost and the system maintenance difficulty.
Description
Technical Field
The invention relates to the technical field of micro services, in particular to an artificial intelligence micro service system.
Background
With the development of artificial intelligence technology, the application of artificial intelligence technology is more and more popular, such as identity verification and worker service by using artificial intelligence technology.
In large systems, such as banking systems, there are many artificial intelligence functions, such as face recognition, voiceprint recognition, iris recognition, voice recognition, semantic analysis, natural language processing, and so on. In each upper-layer application applying the artificial intelligence function, each artificial intelligence function interface is required to be called, the interface of each artificial intelligence function is different, after a supplier is replaced by a certain artificial intelligence function, the interface corresponding to the artificial intelligence function and the upper-layer application need to be developed again, the system maintenance cost is high, and the system maintenance difficulty is large.
Disclosure of Invention
In view of the above, the present invention provides an artificial intelligence micro-service system, in which artificial intelligence components in a basic service layer are atomically pluggable, services in a micro-intelligence service layer are combinable, and a comprehensive application layer is standardized and configurable, thereby reducing system maintenance cost and system maintenance difficulty.
In order to achieve the above purpose, the invention provides the following specific technical scheme:
the artificial intelligence micro-service system comprises a basic service layer, a micro-intelligence service layer and a comprehensive application layer;
the basic service layer comprises a plurality of artificial intelligence components, and the artificial intelligence components comprise encapsulated artificial intelligence functional units;
the micro intelligent service layer comprises a service layer configuration file and at least one artificial intelligence service;
the artificial intelligence service comprises a single service and a combined service;
the service layer configuration file stores the calling relation between the artificial intelligence service and the artificial intelligence component;
the comprehensive application layer comprises a process configuration engine and an interface management module;
the process configuration engine is used for configuring a calling relationship between an upper application and the artificial intelligence service;
and the interface management module is used for storing the interface information of each artificial intelligence service.
Optionally, the basic service layer includes a robot component, a voice recognition component, a knowledge base component, and a biometric identification component;
the robot assembly is packaged with a question and answer service functional unit, an emotion recognition functional unit, a reading and understanding functional unit and a sensitive word recognition functional unit;
the voice recognition component is packaged with a voice-to-text functional unit, a text-to-voice functional unit, a semantic understanding functional unit and a multi-language functional unit;
the knowledge base component is packaged with a corpus management function unit, a vocabulary management function unit, an intelligent retrieval function unit and a template management function unit;
the biological recognition component is packaged with a face recognition functional unit, a voiceprint recognition functional unit, an iris recognition functional unit and a fingerprint recognition functional unit.
Optionally, the integrated application layer further includes a registration service module;
the registration service module is used for registering each artificial intelligence service in the micro-intelligent service layer.
Optionally, the process configuration engine is further configured to intelligently identify an application scenario of a target upper-layer application, intelligently match the artificial intelligence service for the application scenario of the target upper-layer application, and the target upper-layer application is an upper-layer application that is not matched with the artificial intelligence service.
Optionally, the process configuration engine is specifically configured to obtain historical usage data of the target upper-layer application, input the historical usage data of the target upper-layer application into a pre-constructed application scene recognition model for processing, obtain an application scene of the target upper-layer application, and match the artificial intelligence service with the application scene of the target upper-layer application according to a preset call relationship between the application scene and the artificial intelligence service.
Optionally, the micro intelligent service layer further includes an intelligent matching module;
the intelligent matching module is used for intelligently matching the artificial intelligence assembly for target artificial intelligence service, and the target artificial intelligence service is artificial intelligence service which is not matched with the artificial intelligence assembly.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses an artificial intelligence micro-service system, which adopts a micro-service architecture and comprises a basic service layer, a micro-intelligence service layer and a comprehensive application layer, wherein the basic service layer encapsulates an artificial intelligence functional unit to obtain a plurality of artificial intelligence components, so that the artificial intelligence components can be plugged in and pulled out atomically, namely the artificial intelligence components can be added, modified and deleted without influencing the upper application of the comprehensive application layer; the micro intelligent service layer provides single service and combined service, and meets diversified service requirements; the comprehensive application layer provides a standardized interface for the upper application, even if a certain artificial intelligence functional unit is changed, service calling of the comprehensive application layer cannot be influenced, and system maintenance cost and system maintenance difficulty are reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an artificial intelligence microservice system according to an embodiment of the present disclosure;
FIG. 2 is a diagram of an example of an artificial intelligence microservice system according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of another artificial intelligence microservice system disclosed in the embodiments of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment discloses an artificial intelligence micro-service system, which adopts a micro-service architecture to package and effectively combine artificial intelligence functional units at the bottom layer to form a standard artificial intelligence assembly, provides combinable service at a micro-intelligence service layer, and provides a unified standardized interface for upper application of a comprehensive application layer, thereby improving the flexibility of the system and reducing the dimension cost and difficulty of the system.
Referring to fig. 1, the artificial intelligence micro service system includes a basic service layer, a micro intelligence service layer and a comprehensive application layer.
The basic service layer comprises a plurality of artificial intelligence components, the artificial intelligence components are obtained after the artificial intelligence functional units are packaged, and one artificial intelligence component comprises at least one packaged artificial intelligence functional unit. Referring to fig. 2, fig. 2 is an example of an artificial intelligence microservice system, the basic service layer including a robot component, a speech recognition component, a knowledge base component, and a biometric identification component; the robot assembly is packaged with a question and answer service functional unit, an emotion recognition functional unit, a reading and understanding functional unit and a sensitive word recognition functional unit; the voice recognition component is packaged with a voice-to-text functional unit, a text-to-voice functional unit, a semantic understanding functional unit and a multi-language functional unit; the knowledge base component is packaged with a corpus management function unit, a vocabulary management function unit, an intelligent retrieval function unit and a template management function unit; the biological recognition component is packaged with a face recognition functional unit, a voiceprint recognition functional unit, an iris recognition functional unit and a fingerprint recognition functional unit.
The basic service layer can realize the atomization pluggable of the artificial intelligence assembly and support the addition, deletion and modification of the artificial intelligence assembly.
The modification of the artificial intelligence assembly comprises the addition, deletion and modification of artificial intelligence functional units in the artificial intelligence assembly, and the modification of the artificial intelligence functional units comprises the replacement of suppliers of the artificial intelligence functional units.
The micro-intelligent service layer comprises a service layer configuration file and at least one artificial intelligent service, wherein the artificial intelligent service comprises a single service and a combined service, and the single service is a service only providing one artificial intelligent function, such as a face recognition service, a voiceprint recognition service, a real-time transcription service and an intelligent retrieval service shown in fig. 2; the combined service is a service capable of providing a plurality of artificial intelligence functions, such as a face and voiceprint combined verification service, a semantic understanding and voiceprint identification service, a voice-to-text and voice navigation service, a voice-to-text and error correction service, a voice meaning and emotion analysis service and an intention recognition and knowledge question and answer service.
The service layer configuration file stores the calling relationship between the artificial intelligence service and the artificial intelligence assembly, and the configuration is customized configuration service, for example, the service layer configuration file stores the calling relationship between the face recognition service and the face recognition function unit in the biological recognition assembly, and the calling relationship between the face and voiceprint combined verification service and the face recognition function unit and voiceprint recognition function unit in the biological recognition assembly.
The integrated application layer comprises a process configuration engine and an interface management module.
The artificial intelligence service management module in the comprehensive application layer stores interface information of each artificial intelligence service, and the interface information comprises an interface address.
The flow configuration engine configures the calling relationship between the upper application and the artificial intelligence service, the upper application is various APPs, and for the artificial intelligence micro service system applied to the bank system, the upper application can be the APPs of a mobile phone bank, an online bank, a micro bank and the like. Different application scenes of the same upper application can correspond to different artificial intelligence services, the process configuration engine configures all artificial intelligence services which can be called by the upper application, and when the artificial intelligence services are called, interface information of each artificial intelligence service in the interface management module is read to provide the called artificial intelligence service interface information for the upper application, so that the upper application can call the artificial intelligence services.
If the mobile banking APP requests balance inquiry, the flow configuration engine matches face recognition service for the mobile banking APP, and matches interface information of the face recognition service for the mobile banking APP, the mobile banking APP calls the face recognition service through the interface information of the face recognition service, and then calls the face recognition function unit through a calling relation between the face recognition service and the face recognition function unit of the biological recognition component in a service layer configuration file in a micro intelligent service layer, so that the face recognition requesting the balance inquiry is completed.
Therefore, the artificial intelligence micro-service system disclosed by the embodiment can provide flexible and customized artificial intelligence services for upper-layer applications by adopting the micro-service architecture.
Meanwhile, the basic service layer encapsulates the artificial intelligence functional units to obtain a plurality of artificial intelligence components, so that the artificial intelligence components can be plugged in and out in an atomization mode, the artificial intelligence components can be added, modified and deleted, and the upper-layer application of the comprehensive application layer is not influenced; the micro intelligent service layer provides single service and combined service, and meets diversified service requirements; the comprehensive application layer provides a standardized interface for the upper application, even if a certain artificial intelligence functional unit is changed, service calling of the comprehensive application layer cannot be influenced, and system maintenance cost and system maintenance difficulty are reduced.
Preferably, the artificial intelligence microservice system disclosed in this embodiment may further provide an intelligent matching service for the upper layer application, and when the upper layer service does not match the artificial intelligence service in the process configuration engine, intelligently identify the application scenario of the upper layer application, and intelligently match the artificial intelligence service for the application scenario of the upper layer application.
In order to achieve the above technical effect, please refer to fig. 3, the integrated application layer in the artificial intelligence micro service system disclosed in this embodiment further includes a registration service module, and the registration service module is configured to register each artificial intelligence service in the micro intelligence service layer. The process configuration engine acquires historical use data of a target upper-layer application, the target upper-layer application is an upper-layer application which is not matched with the artificial intelligence service, the historical use data of the target upper-layer application is input into a pre-constructed application scene recognition model to be processed, an application scene of the target upper-layer application is obtained, and the artificial intelligence service is matched with the application scene of the target upper-layer application according to a preset calling relation between the application scene and the artificial intelligence service.
The application scene recognition model is obtained by training a neural network model or other machine learning models according to a large number of training samples containing historical use data and application scenes.
On the basis, an intelligent matching module is arranged on a micro intelligent service layer to intelligently match the artificial intelligence assembly for the artificial intelligence service which is not matched with the artificial intelligence assembly.
The artificial intelligence micro-service system disclosed by the embodiment can provide customized artificial intelligence service, and meanwhile, can provide intelligent matching service for upper-layer application according to the application scene of the upper-layer application, so that the flexibility of the artificial intelligence service is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. An artificial intelligence micro-service system is characterized by comprising a basic service layer, a micro-intelligence service layer and a comprehensive application layer;
the basic service layer comprises a plurality of artificial intelligence components, and the artificial intelligence components comprise encapsulated artificial intelligence functional units;
the micro intelligent service layer comprises a service layer configuration file and at least one artificial intelligence service;
the artificial intelligence service comprises a single service and a combined service;
the service layer configuration file stores the calling relation between the artificial intelligence service and the artificial intelligence component;
the comprehensive application layer comprises a process configuration engine and an interface management module;
the process configuration engine is used for configuring a calling relationship between an upper application and the artificial intelligence service;
and the interface management module is used for storing the interface information of each artificial intelligence service.
2. The artificial intelligence microservice system of claim 1, wherein the base services layer comprises a robotic component, a voice recognition component, a knowledge base component, and a biometric component;
the robot assembly is packaged with a question and answer service functional unit, an emotion recognition functional unit, a reading and understanding functional unit and a sensitive word recognition functional unit;
the voice recognition component is packaged with a voice-to-text functional unit, a text-to-voice functional unit, a semantic understanding functional unit and a multi-language functional unit;
the knowledge base component is packaged with a corpus management function unit, a vocabulary management function unit, an intelligent retrieval function unit and a template management function unit;
the biological recognition component is packaged with a face recognition functional unit, a voiceprint recognition functional unit, an iris recognition functional unit and a fingerprint recognition functional unit.
3. The artificial intelligence microservice system of claim 1, wherein the integrated application layer further comprises a registration service module;
the registration service module is used for registering each artificial intelligence service in the micro-intelligent service layer.
4. The artificial intelligence microservice system of claim 1, wherein the process configuration engine is further configured to intelligently identify application scenarios for target upper-level applications that intelligently match the artificial intelligence service, the target upper-level applications being upper-level applications that do not match the artificial intelligence service.
5. The artificial intelligence microservice system of claim 4, wherein the process configuration engine is specifically configured to obtain historical usage data of the target upper-layer application, input the historical usage data of the target upper-layer application into a pre-constructed application scene recognition model for processing, obtain an application scene of the target upper-layer application, and match the artificial intelligence service to the application scene of the target upper-layer application according to a call relationship between a pre-set application scene and the artificial intelligence service.
6. The artificial intelligence microservice system of claim 4, wherein the microservice service layer further comprises an intelligence matching module;
the intelligent matching module is used for intelligently matching the artificial intelligence assembly for target artificial intelligence service, and the target artificial intelligence service is artificial intelligence service which is not matched with the artificial intelligence assembly.
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Cited By (9)
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| CN111400071A (en) * | 2020-04-10 | 2020-07-10 | 深圳新致软件有限公司 | Artificial intelligence service docking method, system and equipment |
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