CN110008185A - A kind of cloud information specification processing system using processing redundancy - Google Patents
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Abstract
The present invention relates to a kind of cloud information specification processing systems using processing redundancy, including control terminal, categorization module and index module, categorization module has classification policy, for classification policy for classifying to data file, classification policy includes document classification step, format classification step, redundancy feature group definition step and group class induction step；Index module is configured with several index informations, the corresponding data file setting of each index information, and index information includes file group class number, format group class number and redundant group class number；Control terminal is configured with calling module, and calling module transfers corresponding data file by index information from categorization module；When redundancy feature group of the data file where it is called, according to corresponding deletion Data Position restoring data file.A preferable treatment effect is played, guarantees that data redundancy utmostly simplifies storage, reduces the space hold of data storage.
Description
Technical field
The present invention relates to data processing systems, classify more specifically to a kind of cloud information using processing redundancy
Processing system.
Background technique
Data (Data) are a kind of expression-forms to true, concept or instruction, can set progress by manual or automatic makeup
Processing.Data become after explaining and assigning certain meaning as information.Data processing (data processing) is
To the acquisition of data, storage, retrieval, processing, transformation and transmission.And especially larger in fields, data redundancy amounts such as monitoring, institute
It is more with the waste of memory space, and timing is needed to empty database, and cause to waste, so being intended to provide a kind of processing data
The data sorting system of redundancy.
Summary of the invention
In view of this, it is an object of the present invention to provide a kind of cloud information specification processing systems using processing redundancy, with solution
The certainly above problem.
In order to solve the above-mentioned technical problem, the technical scheme is that a kind of cloud information point using processing redundancy
Class processing system, including control terminal, categorization module and index module, the categorization module has classification policy, described
For classification policy for classifying to data file, the classification policy includes document classification step, format classification step, redundancy
Feature group definition step and group class induction step；
Data file is divided into several file groups according to the type of the data file, so that a file by document classification step
The format of data file in group is identical, and the number of the file group where the data file generates file group class number；
Each file group is divided into several lattice according to the format of data file in each file group respectively by format classification step
Formula group, so that the format of the data file in a format group is identical, the number of the format group where the data file is generated
One format group class number；
Redundancy feature group definition step configures several redundant data information in each file group, and is each redundant digit
According to one redundancy feature group of information configuration；
Described group of class induction step includes that data file in each format group is divided according to the redundant partitioning strategy to described
Redundancy feature group, the redundant partitioning strategy include, if there are one and the redundant data information phase in the data file
Same data, the data are deleted from the data file and generate corresponding deletion Data Position, and the data file is drawn
Enter the corresponding redundancy feature group of the redundant data information, it is superfluous that the number of the redundancy feature group where the data file generates one
Remaining group of class number；
The index module is configured with several index informations, the corresponding data file setting of each index information, the index letter
Breath includes file group class number, format group class number and redundant group class number；The control terminal is configured with calling module, institute
It states calling module and corresponding data file is transferred from the categorization module by the index information；When the data file from
When redundancy feature group where it is called, the data file is restored according to corresponding deletion Data Position.
Further: the document classification step includes the first Encryption Algorithm, when the data file is subdivided into one
When file group, the data file is encrypted according to the number of the file group and the first Encryption Algorithm；
The calling module is configured with the first decipherment algorithm corresponding with the first Encryption Algorithm, when the data file is called
When, the data file is decrypted according to index information and the first decipherment algorithm.
Further: the format classification step includes the second Encryption Algorithm, when the data file is subdivided into one
When format group, the data file is encrypted according to the number of the format group and the second Encryption Algorithm；
The calling module is configured with the second decipherment algorithm corresponding with the second Encryption Algorithm, when the data file is called
When, the data file is decrypted according to index information and the second decipherment algorithm.
Further: the file group includes audio file group, when the type of the data file is audio file,
The data file is divided to the audio file group；
Redundancy feature group definition step includes that audio redundancy defines sub-step, and the audio redundancy defines sub-step for defining sound
Data file under frequency file group, it includes selecting benchmark redundancy sound according to the control terminal that the audio redundancy, which defines sub-step,
Frequently, the first redundancy range and according to the benchmark redundancy audio is generated, the benchmark redundancy includes first redundancy range
And the benchmark redundancy audio, when there is error between benchmark redundancy audio in data file in benchmark redundancy range
When data, the redundancy feature group which is divided to where the benchmark redundancy range.
Further: the benchmark redundancy range includes audio range, volume range and tone color range.
Further: the file group includes video file group, when the type of the data file is video file,
The data file is divided to the video file group；
Redundancy feature group definition step includes that Video Redundancy defines sub-step, and the Video Redundancy defines sub-step for defining view
Data file under frequency file group, it includes selecting benchmark redundancy figure according to the control terminal that the Video Redundancy, which defines sub-step,
Area, and according to the benchmark redundancy figure area generate the second redundancy range, the benchmark redundancy include the second redundancy range and
The benchmark redundancy figure area, when existing in data file with the error in the benchmark redundancy figure area within the second redundancy range
When data, the redundancy feature group which is divided to where the benchmark redundancy range.
Further: second redundancy range includes RGB range and brightness range.
Further: the document classification step includes file data structure optimization sub-step, the file data knot
It is that each file group is configured with corresponding file optimisation strategy that structure, which optimizes sub-step, and the file data structure optimizes sub-step packet
It includes when the data file is subdivided into file group, corresponding file optimisation strategy is executed according to the file group at place, it is described
File optimisation strategy optimizes the data file according to the type of the data file.
Further: the format classification step includes format data structure optimization sub-step, the formatted data knot
It is that each format group is configured with corresponding format optimisation strategy that structure, which optimizes sub-step, and the format data structure optimizes sub-step packet
It includes when the data format is subdivided into format group, corresponding format optimisation strategy is executed according to the format group at place, it is described
Format optimisation strategy optimizes the data format according to the type of the data format.
Further: the file group further includes document files group and picture file group.
The technology of the present invention effect major embodiment is in the following areas: it is arranged in this way, plays a preferable treatment effect,
Guarantee that data redundancy utmostly simplifies storage, reduces the space hold of data storage.
Detailed description of the invention
Fig. 1: the architecture principle figure of the cloud information specification processing system using processing redundancy of the invention；
Fig. 2: the grouping schematic diagram of the cloud information specification processing system using processing redundancy of the invention；
Fig. 3: the classification policy flow chart of the cloud information specification processing system using processing redundancy of the invention.
Appended drawing reference: 1, database；2, control terminal；3, categorization module；4, index module；10, file group；20, format group；
30, redundancy feature group.
Specific embodiment
Below in conjunction with attached drawing, a specific embodiment of the invention is described in further detail, so that technical solution of the present invention is more
It should be readily appreciated that and grasp.
Shown in referring to Fig.1, a kind of cloud information specification processing system using processing redundancy, including control terminal 2, classification mould
Block 3 and index module 4, the categorization module 3 have classification policy, and the classification policy is used to carry out data file
Classification, the classification policy include that document classification step, format classification step, 30 definition step of redundancy feature group and group class are returned
Receive step；Control terminal 2 can be the server serviced for database 1, and categorization module 3, index module 4 are then the system configurations
Functional module.
Referring to shown in Fig. 3, data file is divided into several texts according to the type of the data file by document classification step
Part group 10, so that the format of the data file in a file group 10 is identical, the volume of the file group 10 where the data file
Number generate 10 class of a file group number；Document classification step is relatively simple, according to file type to the files of all databases 1 into
Row reclassifies, such as video file, audio file, picture file, document files, form document, installation package file etc., point
It is not grouped, guarantees the safety and reliability of data.
Format classification step respectively divides each file group 10 according to the format of data file in each file group 10
For several format groups 20, so that the format of the data file in a format group 20 is identical, the format where the data file
The number of group 20 generates 20 class of format group number；Format classification step is classified according to format, and example audio file includes
MP3 format, MP4 format, WAM format etc., so the redundancy (due to the file of different-format) of being classified again according to format
Format is different.
30 definition step of redundancy feature group configures several redundant data information in each file group 10, and is each institute
State one redundancy feature group 30 of redundant data information configuration；As core of the invention main points, the configuration of redundant data information is very
Key, such as two files, there is same redundant data, then this data only once can be complete with storage
At storage.
Referring to shown in Fig. 2, described group of class induction step includes dividing each format group 20 according to the redundant partitioning strategy
Interior data file is to the redundancy feature group 30, and the redundant partitioning strategy includes, if there are one in the data file
Data identical with the redundant data information delete the data from the data file and generate corresponding deletion data bit
It sets, and the data file is divided into the corresponding redundancy feature group 30 of the redundant data information, according to superfluous where the data file
The number of remaining feature group 30 generates redundant group class number；This completes the classification of data, arbitrary data can pass through
Corresponding index extracts, and for example has recorded the position of the identical data of redundant data information, so that it may delete to the data
It removes, when needing to call, adds the data again, so it is only necessary to save the location information of data, and simultaneously can be with
Play the role of a data encryption.
Index module 4 is for obtaining data file, and the index module 4 is configured with several index informations, each rope
Fuse ceases corresponding data file setting, the index information include 10 class of file group number, 20 class of format group number and
Redundant group class number；The control terminal 2 is configured with calling module, and the calling module is by the index information from the classification
Corresponding data file is transferred in module 3；When redundancy feature group 30 of the data file where it is called, according to right
The deletion Data Position answered restores the data file.Index information is directed toward the storage location of data, when needing to be called,
Original data file will be reduced after the addition of corresponding redundant data information, so that it may normal use.In another embodiment,
The document classification step includes the first Encryption Algorithm, when the data file is subdivided into a file group 10, according to institute
The number and the first Encryption Algorithm for stating file group 10 encrypt the data file；The calling module is configured with and the first encryption
Corresponding first decipherment algorithm of algorithm, when the data file is called, according to index information and the first decipherment algorithm solution
The close data file.In another embodiment, the format classification step includes the second Encryption Algorithm, when the data text
When part is subdivided into a format group 20, the data text is encrypted according to the number of the format group 20 and the second Encryption Algorithm
Part；The calling module is configured with the second decipherment algorithm corresponding with the second Encryption Algorithm, when the data file is called,
The data file is decrypted according to index information and the second decipherment algorithm.Guarantee the safety of file.
For audio file, it is described in detail.The file group 10 includes audio file group 10, when the data file
When type is audio file, the data file is divided to the audio file group 10；30 definition step packet of redundancy feature group
It including audio redundancy and defines sub-step, the audio redundancy defines sub-step and is used to define the data file under audio file group 10,
It includes selecting benchmark redundancy audio according to the control terminal 2 that the audio redundancy, which defines sub-step, and according to the benchmark redundancy sound
Frequency generates the first redundancy range, and the benchmark redundancy includes first redundancy range and the benchmark redundancy audio,
When there is the error between benchmark redundancy audio in data file in the data of benchmark redundancy range, which is drawn
Divide to the redundancy feature group 30 where the benchmark redundancy range.The benchmark redundancy range include audio range, volume range with
And tone color range.And it screens to obtain a benchmark redundancy audio particular by manual or algorithm, that is, this section audio can go out
In present unacceptable data file, and audio range, volume range and tone color range are defined, due to the sound in data file
Frequency can not be identical, so needing to define a value range, when data value is higher or lower than this benchmark redundancy sound
Frequently, but then in audio range, volume range and tone color range, still it is considered as identical data, carries out redundancy point
Group processing.
Video file is described in detail, the file group 10 includes video file group 10, when the data file
When type is video file, the data file is divided to the video file group 10；30 definition step packet of redundancy feature group
It including Video Redundancy and defines sub-step, the Video Redundancy defines sub-step and is used to define the data file under video file group 10,
It includes selecting benchmark redundancy figure area according to the control terminal 2 that the Video Redundancy, which defines sub-step, and according to the benchmark redundancy figure
Area generates the second redundancy range, and the benchmark redundancy includes the second redundancy range and the benchmark redundancy figure area, works as number
When according to existing in file with data within the second redundancy range of the error in the benchmark redundancy figure area, which is drawn
Divide to the redundancy feature group 30 where the benchmark redundancy range.Second redundancy range includes RGB range and brightness range.
And generally for monitor video, the background of video file is substantially not in variation, so can be with single frames number
According to, background extracting is come out into unified storage, and through the above way can the time.
In another embodiment, the document classification step includes file data structure optimization sub-step, the text
Number of packages is that each file group 10 is configured with corresponding file optimisation strategy according to structure optimization sub-step, and the file data structure is excellent
Subslep includes executing corresponding file according to the file group 10 at place when the data file is subdivided into file group 10
Optimisation strategy, the file optimisation strategy optimize the data file according to the type of the data file.In another implementation
In example, the format classification step includes format data structure optimization sub-step, and the format data structure optimizes sub-step
It is configured with corresponding format optimisation strategy for each format group 20, the format data structure optimization sub-step includes working as the number
When being subdivided into format group 20 according to format, corresponding format optimisation strategy is executed according to the format group 20 at place, the format is excellent
Change strategy and the data format is optimized according to the type of the data format.By Optimization Steps, text is optimized according to data format
Part improves storage effect.
Certainly, above is representative instance of the invention, and in addition to this, the present invention can also have other a variety of specific implementations
Mode, all technical solutions formed using equivalent substitution or equivalent transformation, is all fallen within the scope of protection of present invention.
Claims (10)
1. it is a kind of using processing redundancy cloud information specification processing system, it is characterised in that: including control terminal, categorization module with
And index module, the categorization module have classification policy, the classification policy is for classifying to data file, institute
Stating classification policy includes document classification step, format classification step, redundancy feature group definition step and group class induction step；
Data file is divided into several file groups according to the type of the data file, so that a file by document classification step
The format of data file in group is identical, and the number of the file group where the data file generates file group class number；
Each file group is divided into several lattice according to the format of data file in each file group respectively by format classification step
Formula group, so that the format of the data file in a format group is identical, the number of the format group where the data file is generated
One format group class number；
Redundancy feature group definition step configures several redundant data information in each file group, and is each redundant digit
According to one redundancy feature group of information configuration；
Described group of class induction step includes that data file in each format group is divided according to the redundant partitioning strategy to described
Redundancy feature group, the redundant partitioning strategy include, if there are one and the redundant data information phase in the data file
Same data, the data are deleted from the data file and generate corresponding deletion Data Position, and the data file is drawn
Enter the corresponding redundancy feature group of the redundant data information, it is superfluous that the number of the redundancy feature group where the data file generates one
Remaining group of class number；
The index module is configured with several index informations, the corresponding data file setting of each index information, the index letter
Breath includes file group class number, format group class number and redundant group class number；The control terminal is configured with calling module, institute
It states calling module and corresponding data file is transferred from the categorization module by the index information；When the data file from
When redundancy feature group where it is called, the data file is restored according to corresponding deletion Data Position.
2. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
Document classification step includes the first Encryption Algorithm, when the data file is subdivided into a file group, according to the file
The number and the first Encryption Algorithm of group encrypt the data file；
The calling module is configured with the first decipherment algorithm corresponding with the first Encryption Algorithm, when the data file is called
When, the data file is decrypted according to index information and the first decipherment algorithm.
3. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
Format classification step includes the second Encryption Algorithm, when the data file is subdivided into a format group, according to the format
The number and the second Encryption Algorithm of group encrypt the data file；
The calling module is configured with the second decipherment algorithm corresponding with the second Encryption Algorithm, when the data file is called
When, the data file is decrypted according to index information and the second decipherment algorithm.
4. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
File group includes audio file group, and when the type of the data file is audio file, the data file is divided to
The audio file group；
Redundancy feature group definition step includes that audio redundancy defines sub-step, and the audio redundancy defines sub-step for defining sound
Data file under frequency file group, it includes selecting benchmark redundancy sound according to the control terminal that the audio redundancy, which defines sub-step,
Frequently, the first redundancy range and according to the benchmark redundancy audio is generated, the benchmark redundancy includes first redundancy range
And the benchmark redundancy audio, when there is error between benchmark redundancy audio in data file in benchmark redundancy range
When data, the redundancy feature group which is divided to where the benchmark redundancy range.
5. a kind of cloud information specification processing system using processing redundancy as claimed in claim 4, it is characterised in that: described
Benchmark redundancy range includes audio range, volume range and tone color range.
6. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
File group includes video file group, and when the type of the data file is video file, the data file is divided to
The video file group；
Redundancy feature group definition step includes that Video Redundancy defines sub-step, and the Video Redundancy defines sub-step for defining view
Data file under frequency file group, it includes selecting benchmark redundancy figure according to the control terminal that the Video Redundancy, which defines sub-step,
Area, and according to the benchmark redundancy figure area generate the second redundancy range, the benchmark redundancy include the second redundancy range and
The benchmark redundancy figure area, when existing in data file with the error in the benchmark redundancy figure area within the second redundancy range
When data, the redundancy feature group which is divided to where the benchmark redundancy range.
7. a kind of cloud information specification processing system using processing redundancy as claimed in claim 6, it is characterised in that: described
Second redundancy range includes RGB range and brightness range.
8. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
Document classification step includes file data structure optimization sub-step, and the file data structure optimization sub-step is each file
Group is configured with corresponding file optimisation strategy, and the file data structure optimization sub-step includes when the data file is divided
When entering file group, corresponding file optimisation strategy is executed according to the file group at place, the file optimisation strategy is according to the number
Optimize the data file according to the type of file.
9. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: described
Format classification step includes format data structure optimization sub-step, and the format data structure optimization sub-step is each format
Group is configured with corresponding format optimisation strategy, and the format data structure optimization sub-step includes when the data format is divided
When entry format group, corresponding format optimisation strategy is executed according to the format group at place, the format optimisation strategy is according to the number
Optimize the data format according to the type of format.
10. a kind of cloud information specification processing system using processing redundancy as described in claim 1, it is characterised in that: institute
Stating file group further includes document files group and picture file group.
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