CN113112247A - System, method, electronic device and storage medium for rapidly constructing industry application - Google Patents
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Abstract
The application provides a system, a method, an electronic device and a storage medium for quickly constructing industrial application, belongs to the field of computer application, and aims to solve the problems that the artificial intelligence technology is high in research and development cost and difficult in popularization of API. To this end, the system comprises: AI service module, AI service support module, system ability module, message bus. The method comprises the following steps: acquiring the authority of constructing the industry application and receiving a request for creating a new industry application; extracting various required resources or services through the message bus according to the acquired authority and the request for creating new industry application; constructing new industrial application according to the extracted resources; debugging new industrial applications; auditing the debugged new industry application; and releasing the new application of the audited industry. According to the method and the device, the development threshold of the independent software developer is reduced, the research and development cost is reduced, the industry accumulation time is shortened, and the independent software developer is only concentrated in research and development of the application program function.
Description
Technical Field
The invention belongs to the field of computer application, and particularly relates to a system, a method, electronic equipment and a storage medium for quickly constructing industrial application.
Background
With the continuous development of artificial intelligence technology, the commercial use of artificial intelligence is more and more extensive, and convenience is provided for the daily life of people. However, as the demand of each industry for the artificial intelligence technology is increasing, more and more industry solutions and applications built around the artificial intelligence technology emerge in the market, and more intermediate developers want to add to the wave of the artificial intelligence technology.
Although the artificial intelligence technology is popular at present, more and more developers want to build trees in the practical application of the artificial intelligence field, the following problems still need to be solved in order to realize that more ISVs (independent software developers) participate in the development of the artificial intelligence field at present:
(1) the characteristics of the artificial intelligence technique itself: high threshold
Requirement for talent's high threshold:
as a branch of computer science, artificial intelligence aims at building mathematical models for human intelligence and producing a new intelligent machine that can react in a manner similar to human intelligence, and research in this field includes robotics, language recognition, image recognition, expert systems, and the like. This requires a relatively high mathematical background from the practitioner, which has led to a significant burden on many developers.
High threshold requirements for enterprises:
the high requirement of artificial intelligence technology on talents inevitably increases the research and development cost. Meanwhile, the artificial intelligence technology is still under constant exploration, which further requires enterprises to invest a great deal of cost in artificial intelligence. Without certain technical accumulation in the technical field of artificial intelligence, the long-term survival in the field is difficult.
(2) Limitations of application of artificial intelligence techniques
Most of the efforts of artificial intelligence enterprises are focused on the research of artificial intelligence technology, so that the artificial intelligence technology is difficult to popularize into various industrial scenes for use. In the accumulation aspect of each industry, the artificial intelligence enterprise is bound to lag behind manufacturers in specialized cultivation and industry for many years, so that most methods for promoting AI technology by artificial intelligence enterprises are as follows: the API is sold directly.
In the prior art, the problems that the artificial intelligence technology is high in research and development cost and difficult in popularization of the API are not solved effectively.
Disclosure of Invention
Aiming at the problems in the prior art, the system, the method, the electronic device and the storage medium for quickly constructing the industrial application are provided, the problems that the artificial intelligence technology is high in research and development cost and difficult in popularization of the API are solved, the research and development cost is reduced, the industry accumulation time of independent software developers is shortened, and the independent software developers are only concentrated in research and development of functions of application programs.
In a first aspect, the present application provides a system for quickly building an industry application, the system being used for providing required resources or services according to development needs so as to build a new industry application, the system comprising:
an AI service module (AI, Artificial Intelligence), an AI service support module, a system capability module, and a message bus;
the AI service module, the AI service support module, the system capacity module and the system operation and maintenance module are respectively connected with the message bus; the AI service module is connected with the AI service support module;
the AI service module is used for providing various artificial intelligence resources;
the AI service support module is used for providing various support resources for the AI service module;
the system capability module is used for providing various services related to the operating system;
and each module of the system calls various services of the system through the message bus so as to build new industrial application.
The system further comprises: the device access module and the data access module;
the equipment access module and the data access module are respectively connected with the AI service support module;
the equipment access module is used for providing access ports for various external equipment and calling the external equipment according to a request for creating new industry applications so as to build new industry applications;
the data access module is used for providing access ports for various external data, managing the external data and the data transmitted by the equipment access module, and calling the external data according to a request for creating an industry new application so as to build the industry new application.
The system further comprises: a system operation and maintenance module;
the system operation and maintenance module is connected with the message bus;
the system operation and maintenance module is used for providing various services required by the system operation and maintenance.
The various artificial intelligence resources include: a human-computer interaction algorithm and a data algorithm;
the human-computer interaction algorithm comprises at least one of the following algorithms: 1: n algorithm, 1: algorithm 1, Person re-identification algorithm, face correlation algorithm, human body correlation algorithm, NLP algorithm (Natural Language Processing), object detection algorithm, OCR algorithm (Optical Character Recognition), vehicle correlation algorithm, living body detection correlation algorithm, video Processing correlation algorithm, voice correlation algorithm, image technology correlation algorithm.
The data algorithm comprises at least one of the following algorithms: the method comprises the following steps of (1) a user portrait algorithm, a credit scoring algorithm, a knowledge graph algorithm, an accurate marketing algorithm, an intelligent operation and maintenance algorithm and an anomaly analysis algorithm;
the various support resources include: the system comprises a data processing unit, a model training unit and an event processing unit;
the data processing unit includes: data cleaning, feature extraction, real-time data processing and batch data processing;
the model training unit includes: data marking, model training, model verification and model publishing;
the event processing unit is used for processing an algorithm for a special event, and comprises the following steps: snapshot recognition algorithm, trajectory tracking algorithm, FacedID + REID algorithm (FaceID, apple face authentication, REID, Person re-identification, pedestrian re-identification), gallery service.
The access port is provided for various external devices, including an external device gateway, a video stream gateway and a third party device gateway.
And managing the external data access, including authorizing the external data, managing channels of the external data, desensitizing the external data and encrypting the external data.
The various services related to the operating system include: account rights management, application management, resource services, task scheduling services, storage services, DAG runtime environment services (DAG, Database Availability Group).
The various services required by the system operation and maintenance comprise: system monitoring service, system authorization service and deployment management service.
In a second aspect, the present application provides a method for quickly constructing an industrial application, including the following steps:
acquiring the authority of constructing the industry application and receiving a request for creating a new industry application;
extracting various required resources or services through the message bus according to the acquired authority and the request for creating the new application of the industry;
constructing new industrial application according to the extracted resources;
debugging the new industry application;
auditing the debugged new industry application;
and releasing the new application of the audited industry.
In a third aspect, the present application provides an electronic device, comprising:
one or more processors;
a memory;
the memory has stored therein one or more application programs adapted for execution by the one or more processors to implement the method of quickly building an industrial application of the second aspect.
In a fourth aspect, the present application proposes a computer-readable storage medium having stored thereon a computer program that can be loaded and executed by a processor in order to build an industrial application quickly as described in the second aspect.
The beneficial technical effects are as follows:
the method and the device provide uniform AI access capability, reduce the ISV development threshold, and enable more ISVs to participate in the scene application development of the AI.
The unified access of the equipment and the provision of the platform basic capability also further liberate the ISV, so that the ISV (Independent Software developers) can be conveniently concentrated in the business of the industry, the AI capability can be better integrated into the industry, and the maximum value can be contributed.
Drawings
FIG. 1 is a schematic block diagram of a system for rapid construction of industrial applications in accordance with an embodiment of the present application;
FIG. 2 is an external interaction diagram of an embodiment of the present application;
FIG. 3 is a flowchart of a method for quickly building an industrial application according to an embodiment of the present application;
fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present application.
Among them, 100-electronic device, 101-processor, 102-bus, 103-memory.
Detailed Description
The application provides a system, a method, an electronic device and a storage medium for quickly constructing industry applications, and a basic platform is created around the AI basic capability, so that an intermediate developer can conveniently and quickly construct scene applications suitable for various industries based on the platform.
In a first aspect, the present application provides a system for quickly building an industry application, as shown in fig. 1, the system is used for providing required resources or services according to development needs so as to build a new industry application, and the system includes:
an AI service module (AI, Artificial Intelligence), an AI service support module, a system capability module, and a message bus;
the AI service module, the AI service support module, the system capability module and the system operation and maintenance module are respectively connected with the message bus; the AI service module is connected with the AI service support module;
the AI service module is used for providing various artificial intelligence resources;
the AI service support module is used for providing various support resources for the AI service module;
the system capability module is used for providing various services related to the operating system;
the system operation and maintenance module is used for providing various services required by the system operation and maintenance;
and each module of the system calls various services of the system through the message bus so as to build new industrial application.
The system further comprises: a device access module and a data access module, as shown in fig. 2;
the equipment access module and the data access module are respectively connected with the AI service support module;
the equipment access module is used for providing access ports for various external equipment and calling the external equipment according to a request for creating new industry applications so as to build new industry applications;
the data access module is used for providing access ports for various external data, managing the external data and the data transmitted by the equipment access module, and calling the external data according to a request for creating an industry new application so as to build the industry new application.
The system further comprises: a system operation and maintenance module;
the system operation and maintenance module is connected with the message bus;
the system operation and maintenance module is used for providing various services required by the system operation and maintenance.
The various artificial intelligence resources include: a human-computer interaction algorithm and a data algorithm;
the Human-Computer Interaction algorithm, namely HCI algorithm (Human-Computer Interaction), comprises at least one of the following algorithms: 1: n algorithm, 1: algorithm 1, Person re-identification algorithm, face correlation algorithm, human body correlation algorithm, NLP algorithm (Natural Language Processing), object detection algorithm, OCR algorithm (Optical Character Recognition), vehicle correlation algorithm, living body detection correlation algorithm, video Processing correlation algorithm, voice correlation algorithm, image technology correlation algorithm.
The face correlation algorithm includes, but is not limited to: face recognition, face detection, face comparison and facial expression attributes.
The human body correlation algorithm includes, but is not limited to: human body identification, human body key points, head and shoulder detection, human body detection and pedestrian attribute analysis.
OCR algorithms, including but not limited to: identity card OCR, bank card OCR, driver's license OCR, business license OCR, shop ticket OCR, value added tax invoice OCR, general text OCR.
Vehicle related algorithms, also including but not limited to: vehicle identification, vehicle detection, vehicle attributes, license plate identification, license plate detection, and license plate attributes.
Liveness detection related algorithms, also include but are not limited to: lip language detection, action living body;
video processing related algorithms, including but not limited to: face snapshot, head and shoulder snapshot and cross-border tracking;
speech correlation algorithms, also include, but are not limited to: ASR Speech Recognition (ASR, Automatic Speech Recognition technology), natural language processing;
image technology related algorithms, also include but are not limited to: defect detection of a power transmission line, defect detection of a transformer substation and watermark addition.
The data algorithm comprises: the method comprises the following steps of (1) a user portrait algorithm, a credit scoring algorithm, a knowledge graph algorithm, an accurate marketing algorithm, an intelligent operation and maintenance algorithm and an anomaly analysis algorithm;
the various support resources include: the system comprises a data processing unit, a model training unit and an event processing unit;
the data processing unit includes: data cleaning, feature extraction, real-time data processing and batch data processing;
the model training unit includes: data marking, model training, model verification and model publishing;
the event processing unit is used for processing algorithms of special events, and the algorithms comprise a snapshot recognition algorithm, a track tracking algorithm, a facedID + REID algorithm (faceID, apple face authentication mode, REID, Person-identification, pedestrian re-identification) and a gallery service.
The access port is provided for various external devices, including an external device gateway, a video stream gateway and a third party device gateway.
The external device is exemplified as follows, but not limited to:
cloud slave: vertically, gay take a candid photograph camera, AI intelligent camera eye, 1350 entrance guard's equipment, big eyes are two generations, 1340 authentication unification, safety helmet box on the terminal is discerned to the cargos face, 1330 equipment, little intelligent device, the goddess box, on-vehicle box, dish ancient recognition camera.
Third party vendor device: seawell gate inhibition machine, seawell gate inhibition all-in-one machine, seawell snapshot machine, moonshine snapshot machine (hua shi), astronavigation snapshot machine, koda snapshot machine, and tiandi great industry snapshot machine.
And managing the external data access, including authorizing the external data, managing channels of the external data, desensitizing the external data and encrypting the external data.
The various services related to the operating system include: account rights management, application management, resource services, task scheduling services, storage services, DAG runtime environment services (DAG, Database Availability Group).
The various services required by the system operation and maintenance comprise: system monitoring service, system authorization service and deployment management service.
In summary: as shown in FIG. 2, the artificial intelligence operating system constructs a suite of AI-based underlying systems around the AI capabilities. The ISV does not need to pay attention to the basic capability and the AI capability of the bottom layer, only needs to pay attention to the combination of the self service and the AI capability, greatly reduces the threshold of an AI application scene, and can keep track of the whole AI market.
As shown in fig. 2, a CWOS (human visual Operating System) provides HCI algorithm capability and data capability of a knowledge map, accurate marketing, credit score, etc. related to a human face, a human body, a vehicle, etc. In order to further liberate the development capability of the ISV, the CWOS provides the bottom-layer system capability, including account management, resource service, task scheduling, storage service, system operation and maintenance and the like. The development of AI can not leave the access of equipment, and the CWOS also has access to various mainstream AI equipment, including access control machine, intelligent camera video language terminal, face pad, attendance box, snapshot machine, advertisement machine. Meanwhile, the CWOS also provides AI training capability, the ISV provides data, and the platform directionally outputs the AI capability to the ISV based on the steps of data processing, model training and the like.
In a second aspect, the present application provides a method for quickly constructing an industrial application, as shown in fig. 3, including the following steps:
step S1: acquiring the authority of constructing the industry application and receiving a request for creating a new industry application;
the system provides a developer center for users, the developer center faces to application developers, and helps the developers to be familiar with CWOS application development processes, and the applications are quickly accessed and released. And the user applies for a development account by himself, waits for the verification of an administrator, adds the authority required by the user, and establishes a development environment according to the acquired authority.
Step S2: extracting various required resources or services through the message bus according to the acquired authority and the request for creating the new application of the industry;
according to the acquired authority, an SDK resource (SDK, software development kit) is acquired, and various capabilities or services are accessed.
And step S3: constructing new industrial application according to the extracted various services;
i.e. writing codes to complete the new application of the industry.
And step S4: debugging the new industry application;
the debugging comprises the following steps: local debugging and online joint debugging, wherein the online environment is selectable, and when online joint debugging is carried out, joint debugging codes need to be applied for registering new services, and then online joint debugging can be carried out.
Step S5: auditing new application of debugged industry
Step S6: and releasing the new application of the audited industry.
For how to specifically invoke each service in the system for quickly constructing the industrial application, a detailed description is given below by using specific embodiments:
example 1:
the new application of the 'cloud-up' industry is newly developed, and the following services are needed: the following functions need to be accomplished: personnel management, organization and passenger flow statistics;
through the system for quickly constructing the industry application, firstly, the authority for constructing the industry application is acquired and a request for creating a new industry application is accepted, so that various services in the system for quickly constructing the industry application can be called through a message bus;
according to the obtained authority and the request for creating the new application of the industry, a development environment is built, namely, according to development needs, various needed services are extracted through the message bus, and in the embodiment, the services needing to be called comprise: because the personnel management function needs to be completed, 1 in the man-machine interaction algorithm in the AI service module needs to be called: algorithm 1, 1: n algorithms and face correlation algorithms.
Because the functions of the organization mechanism need to be completed, the resource service in the system capacity module needs to be called;
because the passenger flow statistics needs to be completed, personnel management services in resource services in the system capacity module and a snapshot identification algorithm and a faceID + REID algorithm in an event processing unit in the AI service support module need to be called.
Compiling codes according to various extracted services, and constructing a new industry application 'cloud starting';
performing local debugging and online joint debugging on the new industry application;
after the debugging is passed, auditing the new application cloud-up of the debugged industry;
and after the verification is passed, issuing the verified industry new application to a designated storage position in the system for quickly constructing the industry application so as to conveniently search and call when needed.
Example 2:
the application can also call a single service, for example, a new application of 'receipt OCR' industry is realized.
In this embodiment, only an OCR (Optical Character Recognition) algorithm in the man-machine interaction algorithm in the AI service module is called, and then the local debugging is performed, and the system can be released to the system designated location. The process is detailed as follows:
acquiring the authority of constructing the industry application and receiving a request for creating a new industry application so as to call an OCR algorithm in a human-computer interaction algorithm in the AI service module;
according to the acquired authority and the request for creating new application of the industry, a development environment is built, namely according to development requirements, an OCR algorithm in a human-computer interaction algorithm in the AI service module is extracted through the message bus;
writing codes according to the extracted OCR algorithm, and constructing a new application 'receipt OCR';
carrying out local debugging on the 'small ticket OCR' newly applied in the industry;
after the debugging is passed, auditing the debugged new industry application;
and after the verification is passed, issuing the verified industry new application to a designated storage position in the system for quickly constructing the industry application so as to conveniently search and call when needed.
Example 3:
in this embodiment, an external device needs to be called so that an device access module and a data access module need to be used, in building an industrial application, the external device access or the external data access can be selectively performed according to specific needs of a user, or the external data is connected to an AI service module according to the needs of the user, so as to adjust models of different algorithms, so as to update the needs of the models, this embodiment is used to build an industrial new application "emerald screen", and the following functions need to be completed: personnel management, organizational structure and face detection, wherein called the external equipment camera, be used for carrying out face identification in real time, its specific process as follows:
acquiring the authority of constructing the industry application and accepting a request for creating a new industry application so that various required resources or services can be extracted through the message bus;
constructing an industry new application according to the extracted various services and the request for creating the industry new application; in this embodiment, 1: algorithm 1, 1: n algorithm, face correlation algorithm, calling equipment access module and data access module. The data access module is used for managing data from the external equipment camera. According to 1: algorithm 1, 1: and the N algorithm, the face correlation algorithm and the camera of the equipment access module compile codes to complete the 'green screen' newly applied in the industry.
Debugging the 'green screen' newly applied in the industry;
local debugging and online joint debugging can be selected according to requirements, wherein an online environment is selectable, joint debugging codes need to be applied when online joint debugging is carried out, new services are registered, and then online joint debugging can be carried out. And accessing an external equipment camera to acquire a real-time face image in the debugging process.
Auditing new application 'green screen' of the debugged industry
And releasing the newly applied 'green screen' in the audited industry.
In a third aspect, the present application provides an electronic device, as shown in fig. 4, including:
one or more processors;
a memory;
the memory has stored therein one or more application programs adapted for execution by the one or more processors to implement the method of quickly building an industrial application of the second aspect. .
As shown in fig. 4, the electronic apparatus 100 includes: a processor 101 and a memory 103. Wherein the processor 101 is coupled to the memory 103, such as via a bus 102.
The structure of the electronic device 100 is not limited to the embodiment of the present application.
The processor 101 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 101 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors.
The memory 103 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
In a fourth aspect, the present application proposes a computer-readable storage medium having stored thereon a computer program that can be loaded and executed by a processor in order to build an industrial application quickly as described in the second aspect.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A system for rapidly building an industrial application, the system being used for providing required resources or services according to development needs so as to build an industrial new application, the system comprising:
the system comprises an AI service module, an AI service support module, a system capability module and a message bus;
the AI service module, the AI service support module and the system capability module are respectively connected with the message bus, and the AI service module is connected with the AI service support module;
the AI service module is used for providing various artificial intelligence resources;
the AI service support module is used for providing various support resources for the AI service module;
the system capability module is used for providing various services related to the operating system;
and each module of the system calls various resources or services of the system through the message bus so as to build new industrial application.
2. The system for rapid construction of industrial applications according to claim 1, further comprising: the device access module and the data access module;
the equipment access module and the data access module are respectively connected with the AI service support module;
the equipment access module is used for providing access ports for various external equipment and calling the external equipment according to a request for creating new industry applications so as to build new industry applications;
the data access module is used for providing access ports for various external data, managing the external data and the data transmitted by the equipment access module, and calling the external data according to a request for creating an industry new application so as to build the industry new application.
3. The system for rapid construction of industrial applications according to claim 1, further comprising: a system operation and maintenance module;
the system operation and maintenance module is connected with the message bus;
the system operation and maintenance module is used for providing various services required by the system operation and maintenance.
4. The system for rapid construction of industrial applications according to claim 1,
the various artificial intelligence resources include: a human-computer interaction algorithm and a data algorithm;
the human-computer interaction algorithm comprises at least one of the following algorithms: 1: n algorithm, 1: 1, a REID algorithm, a face correlation algorithm, a human body correlation algorithm, an NLP algorithm, an object detection algorithm, an OCR algorithm, a vehicle correlation algorithm, a liveness detection correlation algorithm, a video processing correlation algorithm, a voice correlation algorithm, an image technology correlation algorithm;
the data algorithm comprises at least one of the following algorithms: the method comprises the following steps of (1) a user portrait algorithm, a credit scoring algorithm, a knowledge graph algorithm, an accurate marketing algorithm, an intelligent operation and maintenance algorithm and an anomaly analysis algorithm;
the various support resources include: the system comprises a data processing unit, a model training unit and an event processing unit;
the data processing unit performs operations including: data cleaning, feature extraction, real-time data processing and batch data processing;
the operations performed by the model training unit include: data marking, model training, model verification and model publishing;
the event processing unit provides a processing algorithm for special events, and comprises the following steps: a snapshot recognition algorithm, a trajectory tracking algorithm, a facedID + REID algorithm and a gallery algorithm.
5. The system for rapid construction of industrial applications according to claim 2, wherein the access ports for various external devices include an external device gateway, a video stream gateway, and a third party device gateway.
The management of the external data access comprises authorization of external data, channel management of the external data, desensitization processing of the external data and encryption of the external data.
6. The system for rapid construction of industrial applications according to claim 1,
the various services related to the operating system include: account authority management, application management, resource service, task scheduling service, storage service and DAG operation environment service.
7. The system for rapidly building industrial applications according to claim 3, wherein the services required by the system operation and maintenance comprise: system monitoring service, system authorization service and deployment management service.
8. A method for rapid construction of an industrial application using the system of any one of claims 1 to 7, comprising the steps of:
acquiring the authority of constructing the industry application and receiving a request for creating a new industry application;
extracting various required resources or services through the message bus according to the acquired authority and the request for creating the new application of the industry;
constructing new industrial application according to the extracted resources;
debugging the new industry application;
auditing the debugged new industry application;
and releasing the new application of the audited industry.
9. An electronic device, comprising:
one or more processors;
a memory;
the memory has stored therein one or more application programs adapted for execution by the one or more processors to implement the method of quickly building an industrial application of claim 8.
10. A computer-readable storage medium, having stored thereon a computer program which can be loaded and executed by a processor to implement the method of quickly building an industrial application according to claim 8.
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