CN111897664A - Allocation system and method for AI algorithm and AI model applied to urban brain - Google Patents
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Abstract
The invention discloses a deployment system of AI algorithm and AI model applied to urban brain, comprising: the system comprises an interface registration module, an AI algorithm and AI model interface content management module, a user management module, an interface application module, an authorization authentication module and an interface service module. The invention also discloses an AI algorithm and an AI model allocation method applied to the urban brain. The allocation system for the AI algorithm and the AI model applied to the urban brain aims to solve the problems that the AI model and the AI algorithm are difficult to share in multiple fields and the calling of the AI model and the AI algorithm in each field cannot be unified to carry out task management.
Description
Technical Field
The invention belongs to the technical field of artificial intelligence, and particularly relates to a system and a method for allocating an AI algorithm and an AI model applied to a city brain.
Background
The smart city is a city decision mechanism driven by data, public resources of the city are comprehensively allocated and regulated according to real-time data and various types of information, and finally city operation intellectualization and operation efficiency optimization are realized. The 'urban brain' is taken as an urban platform and a core component of smart city infrastructure, is generated by the promotion of the demand of the rapid development of smart cities, and becomes a necessary condition for the comprehensive development of novel smart cities.
At present, the urban brain forms an urban brain data lake by collecting urban multi-source data resources of governments, enterprises and society, and can dynamically sense urban operation signs and monitor the operation state of a city in real time by utilizing an AI (Artificial Intelligence) algorithm and an AI model, and the urban brain also basically covers various fields of government affairs service, traffic operation, ecological environment, social administration, medical education and the like.
At present, in the urban brain, AI models and AI algorithms in various fields are mostly customized by themselves in various fields, and although unified data resources are commonly utilized, the AI models and the AI algorithms are difficult to share in various fields, and the calling of the AI models and the AI algorithms in various fields cannot be uniformly subjected to task management.
In view of the above, those skilled in the art need to provide a deployment system and method for an AI algorithm and an AI model applied to a city brain to solve the problem that the AI model and the AI algorithm are difficult to share in multiple fields and the call of the AI model and the AI algorithm in each field cannot be uniformly tasked.
Disclosure of Invention
Technical problem to be solved
The invention aims to solve the technical problems that the AI model and the AI algorithm are difficult to share in multiple fields, and the calling of the AI model and the AI algorithm in each field can not be uniformly managed in a task mode.
(II) technical scheme
The first aspect of the invention provides a deployment system of AI algorithm and AI model applied to urban brain, comprising:
the interface registration module is used for inputting an AI algorithm and an AI model and interface setting information of the AI algorithm and the AI model;
the AI algorithm and AI model interface content management module is used for presenting the interface setting information of the AI algorithm and the AI model, which is recorded by the interface registration module;
the user management module is used for managing registered users in various fields and account numbers of algorithm providers;
the interface application module is used for applying the use of the interfaces of the AI algorithm and the AI model after the registered users in each field check the interface setting information;
the authorization authentication module is used for allocating serial numbers corresponding to the registered users in each field according to user names, the applied AI algorithm and the interfaces of the AI model;
and the interface service module is used for outputting an interface calling result according to the serial number.
Further, the deployment system further includes an AI algorithm and AI model management module for managing the AI algorithm and the AI model entered by the interface registration module.
Further, the deployment system further includes an interface gateway module for mapping the interface call result output by the interface service module.
Furthermore, the allocation system further comprises an interface monitoring and counting module, which is used for monitoring and counting the interface calling result output by the interface service module.
Furthermore, the deployment system further comprises a scheduling task management module, which is used for forming tasks when the AI algorithm and the AI model interface are called.
The second aspect of the present invention provides a deployment method of deployment system based on the above-mentioned AI algorithm and AI model applied to urban brain, comprising the following steps:
inputting AI algorithm and AI model, and interface setting information of the AI algorithm and the AI model;
presenting interface setting information of the AI algorithm and the AI model;
managing registered users and algorithm provider accounts in each field;
after the registered users in each field check the interface setting information, applying for using the interfaces of the AI algorithm and the AI model;
according to a user name, the applied AI algorithm and the interface of the AI model, assigning serial numbers corresponding to the registered users in each field;
and outputting an interface calling result according to the serial number.
Further, after outputting the interface calling result according to the serial number, the method further includes:
and mapping the interface calling result output by the interface service module.
Further, after outputting the interface calling result according to the serial number, the method further includes:
and monitoring and counting the interface calling result output by the interface service module.
Further, when the interface calling result is output according to the serial number, a task is formed.
Further, after inputting the AI algorithm and the AI model and the interface setting information of the AI algorithm and the AI model, the method further includes:
managing the entered AI algorithm and the AI model.
(III) advantageous effects
The technical scheme of the invention has the following advantages:
the invention provides a deployment system of AI algorithm and AI model applied to city brain, comprising: the interface registration module is used for inputting interface setting information of an AI algorithm and an AI model as well as the AI algorithm and the AI model; the AI algorithm and AI model interface content management module is used for presenting the interface setting information of the AI algorithm and the AI model which is input by the interface registration module; the user management module is used for managing registered users in various fields and account numbers of algorithm providers; the interface application module is used for applying for using the interfaces of the AI algorithm and the AI model after the registered users in various fields check the interface setting information; the authorization authentication module is used for allocating serial numbers corresponding to registered users in each field according to the user names, the applied AI algorithm and the interfaces of the AI model; and the interface service module is used for outputting an interface calling result according to the serial number. And through the authority and the platform, the multi-scenario, same-type and different-type AI algorithms and models of a plurality of algorithm suppliers are uniformly managed and scheduled in one system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of a configuration system of an AI algorithm and an AI model applied to a city brain according to an embodiment of the present invention;
FIG. 2 is a block diagram of another configuration system for an AI algorithm and an AI model applied to a city brain according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of another AI algorithm and AI model deployment method applied to a city brain according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of another AI algorithm and AI model deployment method applied to a city brain according to an embodiment of the present invention.
In the figure:
1. an interface registration module; 2. an AI algorithm and AI model interface content management module; 3. a user management module; 4. an interface application module; 5. an authorization and authentication module; 6. an interface service module; 7. an AI algorithm and AI model management module; 8. an interface gateway module; 9. an interface monitoring and counting module; 10. and a scheduling task management module.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
According to a first aspect of the embodiments of the present invention, there is provided a deployment system of AI algorithm and AI model applied to a city brain, as shown in fig. 1, comprising:
the interface registration module 1 is used for inputting interface setting information of an AI algorithm and an AI model as well as the AI algorithm and the AI model;
an AI algorithm and AI model interface content management module 2 for presenting the AI algorithm and AI model interface setting information entered by the interface registration module 1;
the user management module 3 is used for managing registered users in various fields and account numbers of algorithm providers;
the interface application module 4 is used for applying the use of the interfaces of the AI algorithm and the AI model after the registered users in various fields check the interface setting information;
the authorization authentication module 5 is used for allocating serial numbers corresponding to the registered users in each field according to the user names, the applied AI algorithm and the interfaces of the AI model;
and the interface service module 6 is used for outputting an interface calling result according to the serial number.
In the embodiment, an algorithm provider inputs an AI model and an algorithm into an AI algorithm and an AI model management module through an interface registration module 1, and inputs interface description information such as an interface calling mode of the model and the algorithm into an AI algorithm and AI model interface content management module 2, and in the module, a manager can perform checking, passing and rejecting operations on a newly registered interface;
the AI algorithm and AI model interface content management module 2 presents detailed information such as description, access path, parameter description and the like of the interface, and registered users in each field can check the detailed information, so that the aim of information sharing is fulfilled; the SDK (Software development kit) of the corresponding interface can be downloaded through the module;
the user management module 3 manages registered users in various fields, manages an algorithm provider account, and performs auditing, addition deletion, modification and check operations on the account;
the interface application module 4 is used for submitting specific application through the module if the registered users in various fields check the detailed information of the AI algorithm and the model interface, and the administrator approves the application;
the authorization authentication module 5 allocates different serial numbers (keys) according to the user name and the applied interface after the interface application is passed, and the user can call an AI model and an algorithm in an own system by using the serial number to match with the access mode of the interface;
and the interface service module 6 is used for providing interface calling service, responding to the interface calling request and outputting an interface calling result.
In some optional embodiments, the deployment system further comprises an AI algorithm and AI model management module 7 for managing the AI algorithms and AI models entered by the interface registration module 1. The AI algorithm and model provided by the module algorithm provider are used for management, and can be used for performing addition, deletion, modification and check operations.
In some optional embodiments, the deployment system further includes an interface gateway module 8, configured to map the interface call result output by the interface service module 6. The module can map interface addresses, parameter settings and the like, and if the algorithm provider is replaced by the same application for user applications in some fields, the application layer system of the gateway module does not need to be adjusted in a mapping mode configured in the gateway module, and can be quickly and flexibly switched.
In some optional embodiments, the deployment system further includes an interface monitoring statistic module 9, configured to monitor an interface call result output by the statistic interface service module 6. The module monitors and counts the use condition and application condition of the AI algorithm and the model interface, such as calling times, error problems, resource consumption and the like.
In some optional embodiments, the scheduling system further comprises a scheduling task management module 10 for forming tasks when AI algorithm and AI model interface calls are made. When the module calls an AI algorithm and a model interface for registered users in various fields, the module automatically forms a task, and managers can check, pause, stop, adjust the consumption of computing resources and the like for the task.
In a specific embodiment, a vehicle Recognition algorithm provided by an algorithm provider a is used in services of a registered user a in a certain field, and an OCR (Optical Character Recognition) algorithm is required at present, at this time, the vehicle Recognition algorithm can be queried in the system, and an algorithm provider b is found to have deployed a similar algorithm, at this time, a can directly provide a use application in the system. When A finds that the algorithm provided by A is not accurate enough, the A can submit the application in the system to switch the similar algorithm of B, and the application system can quickly switch without changing.
According to a second aspect of the embodiments of the present invention, there is provided a deployment method of the deployment system based on the AI algorithm and the AI model applied to the city brain, as shown in fig. 3, including the following steps:
s1, inputting interface setting information of an AI algorithm and an AI model, and the AI algorithm and the AI model;
s2, presenting interface setting information of an AI algorithm and an AI model;
s3, managing registered users and algorithm provider accounts in each field;
s4, after the registered user in each field checks the interface setting information, applying for using the interface of the AI algorithm and the AI model;
s5, distributing serial numbers corresponding to registered users in each field according to the user name, the applied AI algorithm and the interface of the AI model;
and S6, outputting the interface calling result according to the serial number.
In some optional embodiments, after outputting the interface invocation result according to the serial number, the method further includes:
and mapping the interface calling result output by the interface service module.
In some optional embodiments, after outputting the interface invocation result according to the serial number, the method further includes:
and monitoring an interface calling result output by the statistical interface service module.
In some alternative embodiments, the task is formed when the output interface calls the result according to the sequence number.
In some optional embodiments, after entering the interface setting information of the AI algorithm and the AI model, the method further includes:
and managing the input AI algorithm and the AI model.
According to a second aspect of the embodiments of the present invention, there is provided another deployment method of the deployment system based on the AI algorithm and the AI model applied to the city brain, as shown in fig. 4, including the following steps:
s201, inputting AI algorithms and AI models and interface setting information of the AI algorithms and the AI models;
s202, managing the input AI algorithm and the input AI model;
s203, presenting interface setting information of an AI algorithm and an AI model;
s204, managing registered users and algorithm provider accounts in each field;
s205, after the registered users in each field check the interface setting information, applying for using the interfaces of the AI algorithm and the AI model;
s206, distributing corresponding serial numbers to registered users in each field according to the user names and the applied AI algorithm and the interface of the AI model;
s207, outputting an interface calling result and automatically forming a task according to the serial number;
s208, mapping an interface calling result output by the interface service module;
and S209, monitoring and counting the interface calling result output by the interface service module.
The deployment system provided by the embodiment of the invention has the following advantages in the construction and application of 'urban brains' and 'smart cities':
1. the resource sharing and multiplexing of the core AI algorithm and the AI model are realized, and users in different fields can fully utilize achievements in other fields, so that the resource multiplexing is increased, and the resource investment is optimized;
2. through the gateway capability of the system, the stability of an upper application interface of the urban brain is maintained, meanwhile, the strong binding with a certain algorithm provider is avoided, a competition platform of the algorithm provider is established, the higher-quality service can be provided for the upper application, and the development of industrial innovation can be promoted;
3. the method realizes detailed analysis, monitoring and management of AI algorithm and AI model resource use conditions, and can guide the algorithm calculation resource allocation, algorithm and model purchase and the effect evaluation of the algorithm and the model of the AI algorithm and the AI model, thereby realizing the optimal utilization of resources.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A deployment system for AI algorithms and AI models for use in a city brain, comprising:
the interface registration module is used for inputting an AI algorithm and an AI model and interface setting information of the AI algorithm and the AI model;
the AI algorithm and AI model interface content management module is used for presenting the interface setting information of the AI algorithm and the AI model, which is recorded by the interface registration module;
the user management module is used for managing registered users in various fields and account numbers of algorithm providers;
the interface application module is used for applying the use of the interfaces of the AI algorithm and the AI model after the registered users in each field check the interface setting information;
the authorization authentication module is used for allocating serial numbers corresponding to the registered users in each field according to user names, the applied AI algorithm and the interfaces of the AI model;
and the interface service module is used for outputting an interface calling result according to the serial number.
2. The system for deploying AI algorithms and AI models applied to a city brain according to claim 1, further comprising an AI algorithm and AI model management module for managing the AI algorithms and AI models entered by said interface registration module.
3. The system of claim 1, further comprising an interface gateway module for mapping the interface call result outputted from the interface service module.
4. The system of claim 1, further comprising an interface monitoring and statistics module for monitoring and statistics of the interface calling result outputted from the interface service module.
5. The system for deploying AI algorithms and AI models for urban brain according to claim 1, further comprising a scheduling task management module for forming tasks when making said AI algorithm and AI model interface calls.
6. A deployment method of a deployment system based on the AI algorithm and AI model applied to the city brain according to any one of claims 1 to 5, comprising the steps of:
inputting AI algorithm and AI model, and interface setting information of the AI algorithm and the AI model;
presenting interface setting information of the AI algorithm and the AI model;
managing registered users and algorithm provider accounts in each field;
after the registered users in each field check the interface setting information, applying for using the interfaces of the AI algorithm and the AI model;
according to a user name, the applied AI algorithm and the interface of the AI model, assigning serial numbers corresponding to the registered users in each field;
and outputting an interface calling result according to the serial number.
7. The system of claim 1, further comprising, after outputting the result of the interface call according to the serial number:
and mapping the interface calling result output by the interface service module.
8. The system of claim 1, further comprising, after outputting the result of the interface call according to the serial number:
and monitoring and counting the interface calling result output by the interface service module.
9. The deployment system for AI algorithms and AI models applied to a city brain according to claim 1, characterized in that a task is formed when said output interface calls the result according to said serial number.
10. The system for deploying AI algorithms and AI models for urban brain according to claim 1, wherein said recording the interface setting information of the AI algorithms and AI models, the AI algorithms and the AI models further comprises:
managing the entered AI algorithm and the AI model.
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