CN112732431B - Artificial intelligence system based on cloud computing - Google Patents
Artificial intelligence system based on cloud computing Download PDFInfo
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- CN112732431B CN112732431B CN202110102492.5A CN202110102492A CN112732431B CN 112732431 B CN112732431 B CN 112732431B CN 202110102492 A CN202110102492 A CN 202110102492A CN 112732431 B CN112732431 B CN 112732431B
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 21
- 238000000605 extraction Methods 0.000 claims abstract description 12
- 239000000284 extract Substances 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 abstract description 5
- 238000000034 method Methods 0.000 abstract description 4
- 238000013499 data model Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003058 natural language processing Methods 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
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application relates to an artificial intelligence system based on cloud computing, which is characterized in that a task receiving unit in a passive task processing end is arranged to identify and simply process data uploaded by a requester, and a task distribution unit is used to forward a processing task to a relatively idle main operation server for operation processing, so that the processing efficiency of the main operation server is higher; meanwhile, an active task processing end is arranged, an active task is started when the number of passive tasks is insufficient, a search unit in the active task processing end searches according to keywords, URL data of a webpage holder containing the keywords is accessed after a recognition extraction unit obtains the URL data, data such as characters and corresponding pictures which specifically contain the keywords are extracted, the data are forwarded to a task distribution unit through a data forwarding unit, the task distribution unit distributes active tasks according to the running state of a main operation server at the moment, and machine learning algorithms in the main motion server are continuously learned by utilizing the actively obtained data.
Description
Technical Field
The application relates to the technical field of cloud computing, in particular to an artificial intelligence system based on cloud computing.
Background
Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a similar way to human intelligence, research in this field includes robots, language recognition, image recognition, natural language processing, expert systems, etc., artificial intelligence has been increasingly mature from birth, theory and technology, and application fields are expanding, and it is conceivable that technological products brought by artificial intelligence in the future will be "containers" of human intelligence, artificial intelligence can simulate the consciousness and information process of people, artificial intelligence is not human intelligence, but can think like people, and also can exceed human intelligence.
However, the existing artificial intelligence is continuously learned based on the experience of a large amount of existing data models, so that machine learning is realized; therefore, the existing machine learning requires users to continuously upload various data models to a cloud server for storage and to continuously perfect algorithms, but the data models required by the existing artificial intelligence system (such as image recognition) based on cloud computing are all uploaded by the users, and the data models cannot be added by themselves through the Internet.
Disclosure of Invention
In view of the above, the present application aims to provide an artificial intelligence system based on cloud computing, which can automatically add related data models through the internet.
The application discloses an artificial intelligence system based on cloud computing, which comprises a plurality of main operation servers, a plurality of storage servers, a passive task processing end and an active task processing end;
the passive task processing end comprises a task distribution unit, a task receiving unit and a task returning unit, wherein the task receiving unit is connected to the Internet and is used for receiving data to be processed uploaded by a requester, identifying the data to be processed, outputting an identification result and the data to be processed to the task distribution unit, the task distribution unit is used for collecting the running states of a plurality of main operation servers and distributing tasks according to the running states of the main transport servers, and the task returning unit is used for returning results;
the active task processing end comprises a searching unit, an identifying and extracting unit and a data forwarding unit, the active task processing end is connected to the Internet, the searching unit accesses a search engine and searches related contents according to preset keywords, the searched related web pages keep URL addresses, the identifying and extracting unit accesses target web pages through the corresponding URL addresses, identifies and extracts the contents of the target web pages, and the data identified and extracted are packaged by the data forwarding unit and forwarded to the task distribution unit;
the main operation server is used for receiving the data to be processed from the task distribution unit, performing corresponding algorithm operation and outputting the result to the task return unit;
the plurality of storage servers are used for storing data requested by a user, actively searched data and URL addresses required for searching in a classified mode.
Further, the plurality of storage servers and the plurality of main operation servers are connected with the first switching equipment for interconnection; the task distribution unit, the task receiving unit, the task returning unit, the retrieval unit, the identification extraction unit and the data forwarding unit are all connected into second switching equipment for interconnection, the second switching equipment is connected into the Internet, and the first switching equipment is connected with the second switching equipment through a gateway.
Further, the type of the data to be processed uploaded by the requester comprises words and images, the task receiving unit performs word segmentation and meaning interpretation processing on the word data and then forwards the word data to the task distribution unit, and the task receiving unit performs filtering, noise reduction, graying and key parameter extraction on the image data and then rotates the image data to the task distribution unit.
Further, all the main operation servers forward the running state of the CPU to the task allocation unit.
Further, the task allocation unit, the task receiving unit, the task returning unit, the searching unit, the identification extracting unit and the data forwarding unit are one or more hosts.
The beneficial effects of the application are as follows: according to the artificial intelligence system based on cloud computing, the task receiving unit in the passive task processing end is arranged to identify and simply process the data uploaded by the requester, and the task distribution unit is used for forwarding the processing task to the relatively idle main operation server for operation processing, so that the processing efficiency of the main operation server is higher; meanwhile, an active task processing end is arranged, an active task is started when the number of passive tasks is insufficient, a search unit in the active task processing end searches according to keywords, URL data of a webpage holder containing the keywords is accessed after a recognition extraction unit obtains the URL data, data such as characters and corresponding pictures which specifically contain the keywords are extracted and forwarded to a task distribution unit through a data forwarding unit, the task distribution unit distributes the active task according to the running state of a main operation server at the moment, and machine learning algorithms in the main motion server are continuously learned by utilizing the actively acquired data, so that an artificial intelligent system can be self-perfected by utilizing the Internet.
Drawings
For a clearer description of the technical solutions of embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and should not be considered limiting in scope, it being possible for a person skilled in the art to obtain other relevant drawings from these drawings without inventive effort:
fig. 1 is a schematic structural view of the present application.
Detailed Description
As shown in fig. 1: the artificial intelligence system based on cloud computing comprises a plurality of main operation servers, a plurality of storage servers, a passive task processing end and an active task processing end;
the passive task processing end comprises a task distribution unit, a task receiving unit and a task returning unit, wherein the task receiving unit is connected to the Internet and is used for receiving data to be processed uploaded by a requester, identifying the data to be processed, outputting an identification result and the data to be processed to the task distribution unit, the task distribution unit is used for collecting the running states of a plurality of main operation servers and distributing tasks according to the running states of the main transport servers, and the task returning unit is used for returning results;
the active task processing end comprises a searching unit, an identifying and extracting unit and a data forwarding unit, the active task processing end is connected to the Internet, the searching unit accesses a search engine and searches related contents according to preset keywords, the searched related web pages keep URL addresses, the identifying and extracting unit accesses target web pages through the corresponding URL addresses, identifies and extracts the contents of the target web pages, and the data identified and extracted are packaged by the data forwarding unit and forwarded to the task distribution unit;
the main operation server is used for receiving the data to be processed from the task distribution unit, performing corresponding algorithm operation and outputting the result to the task return unit;
the plurality of storage servers are used for storing data requested by a user, actively searched data and URL addresses required for searching in a classified mode.
According to the artificial intelligence system based on cloud computing, the task receiving unit in the passive task processing end is arranged to identify and simply process the data uploaded by the requester, and the task distribution unit is used for forwarding the processing task to the relatively idle main operation server for operation processing, so that the processing efficiency of the main operation server is higher; meanwhile, an active task processing end is arranged, an active task is started when the number of passive tasks is insufficient, a search unit in the active task processing end searches according to keywords, URL data of a webpage holder containing the keywords is accessed after a recognition extraction unit obtains the URL data, data such as characters and corresponding pictures which specifically contain the keywords are extracted and forwarded to a task distribution unit through a data forwarding unit, the task distribution unit distributes the active task according to the running state of a main operation server at the moment, and machine learning algorithms in the main motion server are continuously learned by utilizing the actively acquired data, so that an artificial intelligent system can be self-perfected by utilizing the Internet.
In this embodiment, a plurality of storage servers and a plurality of main operation servers are all connected to a first switching device for interconnection; the task distribution unit, the task receiving unit, the task return unit, the retrieval unit, the identification extraction unit and the data forwarding unit are all connected into second exchange equipment for interconnection, the second exchange equipment is connected into the Internet, the first exchange equipment and the second exchange equipment are connected through a gateway, the first exchange equipment and the second exchange equipment are respectively used for IP distribution of a plurality of storage servers, a plurality of main operation servers, the task receiving unit, the task return unit, the retrieval unit, the identification extraction unit and the data forwarding unit, in order to ensure the safety of data and a main operation server, the storage servers and the main operation server are not directly connected with the Internet, and are indirectly connected in a gateway mode, the task distribution unit, the task receiving unit and the task return unit in a passive task processing end are connected in an indirect mode, the retrieval unit, the identification extraction unit and the data forwarding unit in the active task processing end are connected into the Internet through the second exchange equipment for realizing corresponding functions, and the first exchange equipment and the second exchange equipment are respectively used for IP distribution of a plurality of storage servers, a plurality of main operation servers and the task distribution unit, the task return unit, the retrieval unit, the identification extraction unit and the data forwarding unit are arranged to be automatically opened when IP access requests from the equipment are received, and the gateway is used for automatically opening when IP access requests from the equipment are received.
In this embodiment, the type of data to be processed uploaded by the requester includes text and image, the task receiving unit performs word segmentation and meaning interpretation processing on the text data, and then forwards the text data to the task distribution unit, the task receiving unit performs filtering, noise reduction, graying and key parameter extraction on the image data, and then rotates the text data to the task distribution unit, and the task receiving unit performs simple processing with smaller operation difficulty on the data to be processed, meanwhile, compared with the prior art, the data leakage is not worry, and after the data to be processed after the simple processing is forwarded to the main operation server, the operation of the artificial intelligent part is performed, and the algorithm is continuously corrected, so that reasonable distribution of calculation power and confidentiality of the algorithm are utilized.
In this embodiment, all the main operation servers forward their own CPU operation states to the task allocation unit, so that the task allocation unit may allocate task amounts according to the operation states of the main operation servers.
In this embodiment, the task allocation unit, the task receiving unit, the task returning unit, the retrieving unit, the identifying and extracting unit and the data forwarding unit are one or more hosts, and the task allocation unit, the task receiving unit, the task returning unit, the retrieving unit, the identifying and extracting unit and the data forwarding unit are all used for processing a small amount of data or data with complexity, so that a server with strong computation power is not needed, and only a common computer host is adopted.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered by the scope of the claims of the present application.
Claims (5)
1. An artificial intelligence system based on cloud computing, which is characterized in that: the system comprises a plurality of main operation servers, a plurality of storage servers, a passive task processing end and an active task processing end;
the passive task processing end comprises a task distribution unit, a task receiving unit and a task returning unit, wherein the task receiving unit is connected to the Internet and is used for receiving data to be processed uploaded by a requester, identifying the data to be processed, outputting an identification result and the data to be processed to the task distribution unit, the task distribution unit is used for collecting the running states of a plurality of main operation servers and distributing tasks according to the running states of the main transport servers, and the task returning unit is used for returning results;
the active task processing end comprises a searching unit, an identifying and extracting unit and a data forwarding unit, the active task processing end is connected to the Internet, the searching unit accesses a search engine and searches related contents according to preset keywords, the searched related web pages keep URL addresses, the identifying and extracting unit accesses target web pages through the corresponding URL addresses, identifies and extracts the contents of the target web pages, and the data identified and extracted are packaged by the data forwarding unit and forwarded to the task distribution unit;
the main operation server is used for receiving the data to be processed from the task distribution unit, performing corresponding algorithm operation and outputting the result to the task return unit;
the plurality of storage servers are used for storing data requested by a user, actively searched data and URL addresses required for searching in a classified mode.
2. The cloud computing-based artificial intelligence system of claim 1, wherein: the storage servers and the main operation servers are connected with a first switching device for interconnection; the task distribution unit, the task receiving unit, the task returning unit, the retrieval unit, the identification extraction unit and the data forwarding unit are all connected into second switching equipment for interconnection, the second switching equipment is connected into the Internet, and the first switching equipment is connected with the second switching equipment through a gateway.
3. The cloud computing-based artificial intelligence system of claim 1, wherein: the type of the data to be processed uploaded by the requester comprises characters and images, the task receiving unit carries out word segmentation and meaning interpretation processing on the character data and then forwards the character data to the task distribution unit, and the task receiving unit carries out filtering, noise reduction, graying and key parameter extraction on the image data and then rotates the image data to the task distribution unit.
4. The cloud computing-based artificial intelligence system of claim 1, wherein: and all the main operation servers forward the CPU running states of the main operation servers to the task allocation unit.
5. The cloud computing-based artificial intelligence system of claim 1, wherein: the task distribution unit, the task receiving unit, the task returning unit, the searching unit, the identification extracting unit and the data forwarding unit are one or more hosts.
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| CN116467059A (en) * | 2023-04-21 | 2023-07-21 | 哈尔滨有初科技有限公司 | Data processing system and method based on distributed computing |
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| CN108664556A (en) * | 2018-04-03 | 2018-10-16 | 南昌奇眸科技有限公司 | Parallel search system and method suitable for associated mark |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108664556A (en) * | 2018-04-03 | 2018-10-16 | 南昌奇眸科技有限公司 | Parallel search system and method suitable for associated mark |
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| Title |
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| 基于云计算和人工智能技术的图书信息检索系统设计;龙飞;郭永平;;电子设计工程(18);全文 * |
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