CN106210072A - There is the network data services platform of self-learning function - Google Patents
There is the network data services platform of self-learning function Download PDFInfo
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- CN106210072A CN106210072A CN201610558582.4A CN201610558582A CN106210072A CN 106210072 A CN106210072 A CN 106210072A CN 201610558582 A CN201610558582 A CN 201610558582A CN 106210072 A CN106210072 A CN 106210072A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2801—Broadband local area networks
-
- 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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
Abstract
The invention discloses a kind of network data services platform with self-learning function, including: partition security domain unit: buffer zone is divided into network domains, command field and user domain, network flow velocity allocation unit: set up classification and process inquiry list and store；Storage element: be used for storing data；Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；Control unit: according to the user instruction received, user is grouped；Download unit, to storage element request particular range data file piecemeal, customer flow timing unit, time threshold is set, when reached between threshold value time, transmission order to control unit；Data statistics unit, sets up user data statistics list, data redundancy administrative unit: to the data redundancy management preserved in storage element, the data of user domain and command field are sampled by control unit, draw the download preference of user.Reach to provide the purpose of quick and cheap network service.
Description
Technical field
The present invention relates to network data field, in particular it relates to a kind of network data services with self-learning function is put down
Platform.
Background technology
At present, along with the development of the Internet, network has become as the pith of people's life, but in some public fields
Close, as on waiting hall, workman apartment and train not wifi cover, it is the most to add user, and Internet service provider provides
3G or 4G network service can be slow, and 3G or the 4G network service price comparison that Internet service provider provides is expensive.
Summary of the invention
It is an object of the invention to, for the problems referred to above, propose a kind of network data services with self-learning function and put down
Platform, the advantage providing the user quick and cheap network service with realization.
For achieving the above object, the technical solution used in the present invention is:
A kind of network data services platform with self-learning function, including:
Partition security domain unit: buffer zone is divided into network domains, command field and user domain, described network domains is used for network
Data update in storage element, and described user domain provides the user data download service, and described command field is used for receiving user
Request command；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually
The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity
Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units
The data file piecemeal of scope；
Customer flow timing unit: time threshold is set, when reached between threshold value time, transmission order to control unit, controls single
By the zeros data in user domain after the order of unit's reception customer flow timing unit；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage
Compare, thus set up user data statistics list；
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net
Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model
Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded
To network domains, finally preserve to storage element for user's download.
Technical scheme has the advantages that
Technical scheme, by providing a kind of LAN, in advance by the hot spot data on network, such as TV play, little
The locally downloading storage such as say, then provide the user LAN services, because of time locally downloading, it is only necessary to use primary network
The service of operator, thus cheap, and build LAN, the transmission speed of network can be improved, thus reach to provide fast
The purpose of fast and cheap network service.
Detailed description of the invention
A kind of network data services platform with self-learning function, including: partition security domain unit: buffer zone is drawn
Being divided into network domains, command field and user domain, described network domains is used for updating in storage element by network data, described user domain
Providing the user data download service, described command field is used for receiving the request command of user；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually
The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity
Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units
The data file piecemeal of scope；
Customer flow timing unit: time threshold is set, when reached between threshold value time, transmission order to control unit, controls single
By the zeros data in user domain after the order of unit's reception customer flow timing unit；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage
Compare, thus set up user data statistics list；
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net
Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model
Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded
To network domains, finally preserve to storage element for user's download.
Buffer zone is divided into network domains, command field and user domain by partition security domain unit, guarantee data security
Meanwhile, further speed up the transmission speed of data, data upload and download is required for through buffer zone, network domains be used for connect
Receiving the data downloaded from network, the data that network domains is downloaded need the filtration through antivirus software and fire wall, to ensure number
According to safety, the safest data are just transferred to storage element from network domains, and command field is used for receiving the order of user, order
The data that territory receives also will be through antivirus software and the filtration of fire wall, and user domain provides only download service, does not receive any
Data, therefore need not move through the filtration of antivirus software and fire wall, thus improve the transfer rate of data.
Finally it is noted that the foregoing is only the preferred embodiments of the present invention, it is not limited to the present invention,
Although being described in detail the present invention with reference to previous embodiment, for a person skilled in the art, it still may be used
So that the technical scheme described in foregoing embodiments to be modified, or wherein portion of techniques feature is carried out equivalent.
All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included in the present invention's
Within protection domain.
Claims (1)
1. a network data services platform with self-learning function, it is characterised in that including:
Partition security domain unit: buffer zone is divided into network domains, command field and user domain, described network domains is used for network
Data update in storage element, and described user domain provides the user data download service, and described command field is used for receiving user
Request command；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually
The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity
Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units
The data file piecemeal of scope；
Customer flow timing unit: time threshold is set, when reached between threshold value time, transmission order to control unit, controls single
By the zeros data in user domain after the order of unit's reception customer flow timing unit；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage
Compare, thus set up user data statistics list；
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net
Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model
Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded
To network domains, finally preserve to storage element for user's download.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610558582.4A CN106210072A (en) | 2016-07-16 | 2016-07-16 | There is the network data services platform of self-learning function |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610558582.4A CN106210072A (en) | 2016-07-16 | 2016-07-16 | There is the network data services platform of self-learning function |
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| CN106210072A true CN106210072A (en) | 2016-12-07 |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103260080A (en) * | 2013-04-16 | 2013-08-21 | 欧科佳（上海）汽车电子设备有限公司 | Method for achieving vehicle-mounted entertainment video information on demand by using intelligent mobile communication terminal |
| CN104539617A (en) * | 2014-12-26 | 2015-04-22 | 深圳市金立通信设备有限公司 | Network connection control method |
| CN105427138A (en) * | 2015-12-30 | 2016-03-23 | 芜湖乐锐思信息咨询有限公司 | Neural network model-based product market share analysis method and system |
-
2016
- 2016-07-16 CN CN201610558582.4A patent/CN106210072A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103260080A (en) * | 2013-04-16 | 2013-08-21 | 欧科佳（上海）汽车电子设备有限公司 | Method for achieving vehicle-mounted entertainment video information on demand by using intelligent mobile communication terminal |
| CN104539617A (en) * | 2014-12-26 | 2015-04-22 | 深圳市金立通信设备有限公司 | Network connection control method |
| CN105427138A (en) * | 2015-12-30 | 2016-03-23 | 芜湖乐锐思信息咨询有限公司 | Neural network model-based product market share analysis method and system |
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Address after: 545005 new willow Avenue, Liuzhou, Liuzhou, the Guangxi Zhuang Autonomous Region, No. 2, 20 floors 9, city E District Applicant after: LIUZHOU YIJIAN SCIENCE & TECHNOLOGY CO., LTD. Address before: No. 16 Golden Road Liunan District of Liuzhou city in 545005 the Guangxi Zhuang Autonomous Region Tan Hui 1 Building 1 unit 5-13 No. Applicant before: LIUZHOU YIJIAN SCIENCE & TECHNOLOGY CO., LTD. |
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Application publication date: 20161207 |
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