CN207051898U - Information retrieval categorizing system based on cloud computing - Google Patents
Information retrieval categorizing system based on cloud computing Download PDFInfo
- Publication number
- CN207051898U CN207051898U CN201720630892.2U CN201720630892U CN207051898U CN 207051898 U CN207051898 U CN 207051898U CN 201720630892 U CN201720630892 U CN 201720630892U CN 207051898 U CN207051898 U CN 207051898U
- Authority
- CN
- China
- Prior art keywords
- information
- retrieval
- subsystem
- processing subsystem
- cloud computing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The utility model belongs to Internet technical field, there is provided a kind of information retrieval categorizing system based on cloud computing.The system includes camera, scanner, service terminal, retrieval analysis server and cloud server, service terminal includes image processing subsystem, optical character recognition subsystem, information processing subsystem, data storage subsystem, transmission subsystem and touch display screen, image processing subsystem, optical character recognition subsystem, information processing subsystem and data storage subsystem are sequentially connected, information processing subsystem is also connected with transmission subsystem and touch display screen respectively, camera and scanner are connected with image processing subsystem, transmission subsystem, retrieval analysis server and cloud server are sequentially connected.Information retrieval categorizing system of the utility model based on cloud computing, can accelerate information and enter to record speed, improve the recall precision of scientific and technical literature.
Description
Technical field
It the utility model is related to Internet technical field, and in particular to a kind of information retrieval classification system based on cloud computing
System.
Background technology
" cloud computing concept is proposed by Google, and narrow sense cloud computing refers to the delivery of IT infrastructure and using mould
Formula, refer to by network with resource on demand, needed for easy extension way acquisition.The cloud computing of broad sense refers to the delivery of service and made
With pattern, refer to by network with service on demand, needed for easy extension way acquisition.Cloud computing will apply " calculating " to turn from terminal
Service terminal is moved on to, so as to weaken the process demand to mobile terminal device.So mobile terminal mainly undertakes hands over user
Mutual function, complicated computing transfer to cloud server to handle, and terminal does not need powerful operational capability both to have responded user's operation,
And by result presentation to user, so as to realize abundant application.
But in actual application, it is the pre-stored scientific and technical literature data of retrieval mostly, comparison paper can not be retrieved
Matter document, need professional that scientific and technical archive is converted into electronic file form more, then be retrieved.Meanwhile in document
In retrieving, type to be retrieved is not determined, and it is big to retrieve data volume.User, can not after retrieval result is obtained
Enough according to user's request, shown.
How to accelerate information to enter to record speed, improve the recall precision of scientific and technical literature, be those skilled in the art's urgent need to resolve
The problem of.
Utility model content
For in the prior art the defects of, the utility model provide it is a kind of based on cloud computing information retrieval classification system
System, can accelerate information and enter to record speed, improve the recall precision of scientific and technical literature.
The utility model provides a kind of information retrieval categorizing system based on cloud computing, and the system includes：Communication link successively
Terminal, retrieval analysis server and the cloud server connect, terminal are used to send retrieval request to retrieval analysis server, retrieval
Analysis server is used to analyze retrieval request, and sends to corresponding cloud server, cloud server and be used for basis
Retrieval request, retrieved based on cloud computing execution information.
The utility model provides another information retrieval categorizing system based on cloud computing, and the system includes camera, swept
Instrument, service terminal, retrieval analysis server and cloud server are retouched, service terminal includes image processing subsystem, optical character
Recognition subsystem, information processing subsystem, data storage subsystem, transmission subsystem and touch display screen, image procossing subsystem
System, optical character recognition subsystem, information processing subsystem and data storage subsystem are sequentially connected, and information processing subsystem is also
It is connected respectively with transmission subsystem and touch display screen, camera and scanner are connected with image processing subsystem, transmission
System, retrieval analysis server and cloud server are sequentially connected, and camera is used to gather the image information of scientific and technical archive or regarded
Frequency information, and transmit to image processing subsystem, scanner is used to scan scientific and technical archive, obtains scanning information, and transmit to figure
As processing subsystem, image processing subsystem is used for pre-processed image information, video information or scanning information, obtains object format
Image file, optical character recognition subsystem is used to identify character in image file, obtains the character information of scientific and technical archive,
And transmit to information processing subsystem, information processing subsystem is used for according to character information, generates retrieval request, and please by retrieval
Summation character information transmits the retrieval knot for retrieval analysis server, being additionally operable to feed back transmission subsystem by transmission subsystem
Fruit is kept in data storage subsystem, and the idsplay order transmitted according to touch display screen, is transferred from data storage subsystem
Retrieval result, transmit to touch display screen, retrieval analysis server is used to analyze retrieval request, obtains the retrieval class of retrieval request
Type, it is determined that target cloud server corresponding with retrieval type, and retrieval request and character information are sent to target high in the clouds and taken
Business device, target cloud server are used for according to retrieval request, according to character information, are retrieved, obtained based on cloud computing execution information
Retrieval result, and retrieval result passed sequentially through into retrieval analysis server, transmission subsystem is transmitted to information processing subsystem, number
It is used to keep in retrieval result according to storage subsystem, touch display screen is used for the idsplay order for receiving user's input, and transmits to letter
Processing subsystem is ceased, is additionally operable to the retrieval result of display information processing subsystem transmission.
Further, image processing subsystem includes the digital analog converter and DSP Processor that are sequentially connected, camera and sweeps
Retouch instrument to be connected with digital analog converter, DSP Processor is connected with optical character recognition subsystem, and digital analog converter is used for will shooting
The video information of head collection is converted to digital information, and DSP Processor is used for real-time pre-processed digital information, image information and scanning
Information, obtain the image file of object format.
Further, optical character recognition subsystem includes arm processor, DSP Processor by HPI interfaces and ARM at
Device connection is managed, the information that HPI interfaces are used between DSP and arm processor exchanges, and arm processor is used to identify object format
Image file, obtain text information.
Based on the above-mentioned information retrieval categorizing system embodiment arbitrarily based on cloud computing, further, transmission subsystem bag
The couple in router being sequentially connected and hardware firewall are included, information processing subsystem is connected to access route by wireless network
Device, the safe access gateway of hardware firewall are connected to retrieval analysis server.
As shown from the above technical solution, the information retrieval categorizing system based on cloud computing that the present embodiment provides, Neng Goutong
The scientific and technical archive that camera gathers record to be entered is crossed, forms image information or video information, or Dai Rulu sections are gathered by scanner
The scanning information of skill archives, complete information gathering.Meanwhile image processing subsystem pre-processes to the information collected, with
It is easy to optical character recognition subsystem to can recognize that text information, that accelerates scientific and technical literature data enters record process.
Meanwhile the system determines the type of retrieval request by retrieval analysis server, then retrieved, in order to improve
The recall precision of scientific and technical literature.Also, the idsplay order that the system can also click reception user, by the retrieval knot of feedback
Fruit is shown, facilitates user to carry out information browse.
Therefore, information retrieval categorizing system of the present embodiment based on cloud computing, information can be accelerated and enter to record speed, raising section
The recall precision of skill document.
Brief description of the drawings
, below will be right in order to illustrate more clearly of the utility model embodiment or technical scheme of the prior art
The required accompanying drawing used is briefly described in embodiment or description of the prior art.In all of the figs, it is similar
Element or part are typically identified by similar reference.In accompanying drawing, each element or part might not be according to the ratios of reality
Draw.
Fig. 1 shows a kind of structural representation of information retrieval categorizing system based on cloud computing provided by the utility model
Figure.
Embodiment
The embodiment of technical solutions of the utility model is described in detail below in conjunction with accompanying drawing.Following examples are only
For clearly illustrating the technical solution of the utility model, therefore example is intended only as, and this reality can not be limited with this
With new protection domain.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this reality
The ordinary meaning understood with new one of ordinary skill in the art.
A kind of information retrieval categorizing system based on cloud computing that the utility model embodiment is provided, the system include according to
Terminal, retrieval analysis server and the cloud server of secondary communication connection, terminal are used to send retrieval request to retrieval analysis clothes
Business device, retrieval analysis server is used to analyze retrieval request, and sends to corresponding cloud server, cloud server
For according to retrieval request, being retrieved based on cloud computing execution information.
Another information retrieval categorizing system based on cloud computing that the utility model embodiment is provided, should with reference to Fig. 1
System includes camera 1, scanner 2, service terminal 3, retrieval analysis server 4 and cloud server 5, and service terminal 3 includes
Image processing subsystem 31, optical character recognition subsystem 32, information processing subsystem, data storage subsystem 34, transmission
System 35 and touch display screen 36, image processing subsystem 31, optical character recognition subsystem 32, information processing subsystem sum
It is sequentially connected according to storage subsystem 34, information processing subsystem is also connected with transmission subsystem 35 and touch display screen 36 respectively,
Camera 1 and scanner 2 are connected with image processing subsystem 31, transmission subsystem 35, retrieval analysis server 4 and high in the clouds clothes
Business device 5 is sequentially connected, and camera 1 is used for the image information or video information for gathering scientific and technical archive, and is transmitted to image procossing
System 31, scanner 2 are used to scan scientific and technical archive, obtain scanning information, and transmit to image processing subsystem 31, image procossing
Subsystem 31 is used for pre-processed image information, video information or scanning information, obtains the image file of object format, optical character
Recognition subsystem 32 is used to identify the character in image file, obtains the character information of scientific and technical archive, and transmit to information processing
Subsystem, information processing subsystem are used to, according to character information, generate retrieval request, and retrieval request and character information are passed through
Transmission subsystem 35, which is transmitted, to retrieval analysis server 4, to be additionally operable to keep in the retrieval result that transmission subsystem 35 is fed back to number
According to storage subsystem 34, and the idsplay order transmitted according to touch display screen 36, retrieval is transferred from data storage subsystem 34
As a result, transmit to touch display screen 36, retrieval analysis server 4 is used to analyze retrieval request, obtains the retrieval class of retrieval request
Type, it is determined that target cloud server 5 corresponding with retrieval type, and retrieval request and character information are sent to target high in the clouds and taken
Business device 5, target cloud server 5 are used for according to retrieval request, according to character information, are retrieved, obtained based on cloud computing execution information
Take retrieval result, and retrieval result is passed sequentially through into retrieval analysis server 4, transmission subsystem 35 is transmitted to information processing subsystem
System, data storage subsystem 34 are used to keep in retrieval result, and touch display screen 36 is used for the idsplay order for receiving user's input, and
Transmit to information processing subsystem, be additionally operable to the retrieval result of display information processing subsystem transmission.Wherein, camera is preferably adopted
With CCD camera, high sensitivity, signal conversion is not easy distortion.
As shown from the above technical solution, the information retrieval categorizing system based on cloud computing that the present embodiment provides, Neng Goutong
The scientific and technical archive that camera 1 gathers record to be entered is crossed, forms image information or video information, or record to be entered is gathered by scanner 2
The scanning information of scientific and technical archive, complete information gathering.Meanwhile image processing subsystem 31 is located in advance to the information collected
Reason, in order to which optical character recognition subsystem 32 can recognize that text information, that accelerates scientific and technical literature data enters record process.
Meanwhile the system determines the type of retrieval request by retrieval analysis server 4, then retrieved, in order to carry
The recall precision of high-tech document.Also, the idsplay order that the system can also click reception user, by the retrieval of feedback
As a result shown, facilitate user to carry out information browse.
Therefore, information retrieval categorizing system of the present embodiment based on cloud computing, information can be accelerated and enter to record speed, raising section
The recall precision of skill document.
It is specifically, right in order to further improve the reliability of information retrieval categorizing system of the present embodiment based on cloud computing
In image processing subsystem, image processing subsystem 31 includes the digital analog converter and DSP Processor being sequentially connected, camera 1
It is connected with scanner 2 with digital analog converter, DSP Processor is connected with optical character recognition subsystem 32, and digital analog converter is used
Digital information is converted in the video information for gathering camera 1, DSP Processor is used for real-time pre-processed digital information, image
Information and scanning information, obtain the image file of object format.Here, digital analog converter can be changed video information,
To accelerate the treatment effeciency of DSP Processor.Meanwhile the system can carry out the image information of big data quantity using DSP Processor
Processing, operation efficiency is fast, and the degree of accuracy is high.In actual application, DSP Processor can use TMS320DM642 cores
Piece is realized.
Specifically, for optical character recognition subsystem, optical character recognition subsystem 32 includes arm processor, at DSP
Reason device is connected by HPI interfaces with arm processor, and the information that HPI interfaces are used between DSP and arm processor exchanges, at ARM
Reason device is used for the image file for identifying object format, obtains text information.Here, the system transmits DSP processing by HPI interfaces
Image file after device processing, and handled by arm processor, low in energy consumption, compatibility is strong, and instruction execution efficiency is high, helps
In the character information for quickly recognizing scientific and technical archive.In actual application, preferable chip signal is S3C6410.
Specifically, for transmission subsystem, transmission subsystem 35 includes the couple in router being sequentially connected and hardware fire prevention
Wall, information processing subsystem are connected to couple in router by wireless network, and the safe access gateway of hardware firewall is connected to
Retrieval analysis server 4.Here, the system is carried out data transmission by couple in router and hardware firewall, it is favorably improved
The safety and reliability of data transfer, avoid data compromised in transmitting procedure or steal.
The utility model embodiment provides a kind of specific execution step of the information retrieval categorizing system based on cloud computing
It is as follows：
Information input step S1：The image information or video information of scientific and technical archive are gathered, or scanning scientific and technical archive, acquisition are swept
Retouch information；
Image processing step S2：Pre-processed image information, video information or scanning information, obtain the image text of object format
Part；
Optical character identification step S3：The character in image file is identified, obtains the character information of scientific and technical archive；
Retrieval request generation step S4：According to character information, retrieval request is generated；
Retrieval request analytical procedure S5：Retrieval request is analyzed, obtains the retrieval type of retrieval request, it is determined that with retrieving type
The address of corresponding target cloud server；
Record the source address of retrieval request；
According to the address of target cloud server, the source address of transmission retrieval request, character information and retrieval request；
Information retrieval step S6：According to retrieval request, according to character information, retrieved, obtained based on cloud computing execution information
Retrieval result, and according to the source address of retrieval request, feedback searching result；
Information display step S7：The idsplay order of user's input is received, according to idsplay order, shows the retrieval knot of feedback
Fruit.
As shown from the above technical solution, the information retrieval sorting technique based on cloud computing that the present embodiment provides, Neng Goutong
The scientific and technical archive that camera gathers record to be entered is crossed, forms image information or video information, or Dai Rulu sections are gathered by scanner
The scanning information of skill archives, complete information gathering.Meanwhile image processing sub-method pre-processes to the information collected, with
It is easy to optical character identification submethod to can recognize that text information, that accelerates scientific and technical literature data enters record process.
Meanwhile this method determines the type of retrieval request by retrieval analysis server, then retrieved, in order to improve
The recall precision of scientific and technical literature.Also, the idsplay order that this method can also click reception user, by the retrieval knot of feedback
Fruit is shown, facilitates user to carry out information browse.
Therefore, information retrieval sorting technique of the present embodiment based on cloud computing, information can be accelerated and enter to record speed, raising section
The recall precision of skill document.
In order to further improve the reliability of information retrieval sorting technique of the present embodiment based on cloud computing, specifically, in advance
Image information, video information or scanning information are handled, the image file of object format is obtained, specifically includes：According to every two field picture
Acquisition time, video information is decomposed into every two field picture, to image information, video information decompose every two field picture or scanning letter
Breath carries out smooth, noise reduction process, according to specified storage format, by the image information after smooth, noise reduction process, video information point
The every two field picture or scanning information of solution enter row format conversion, obtain the image file of object format.Here, this method is using flat
Sliding, noise reduction process mode, is handled the noise in the presence of image, in order to improve the accuracy of image recognition processes and
Operation efficiency, reduce and disturbed caused by the noise in image.
In actual application, video information is decomposed into by information retrieval sorting technique of the present embodiment based on cloud computing
Before per two field picture, video information can also be carried out transcoding by this method, and detailed process is as follows：
After video information is received, select transcoding multiple to be more than the transcoding processing unit of predetermined threshold in resource pool and make
For work disposal unit, wherein, predetermined threshold is associated with playing maximum delay and video segmentation predetermined minimum value.
Judge whether the transcoding multiple summation of T optional work disposal units is less than 1：If T optional work disposal units
Transcoding multiple summation be not less than 1, then video information is split, is that the optional work disposal units of T distribute corresponding lengths
Video-frequency band, to carry out parallel transcoding processing, wherein, video segment length with play maximum delay, work disposal unit itself
Transcoding multiple associated with work disposal unit number T-phase.The transcoding information of T optional work disposal unit outputs is converged
Always, to complete video code conversion, wherein, predetermined threshold=video segmentation predetermined minimum value/(play maximum delay+video segmentation
Predetermined minimum value).If the transcoding multiple summation of T optional work disposal units is less than 1, refuse transcoding task.
Here, this method is constrained by the real-time of the operational capability according to transcoding processing unit and transcoding task, it is right
Video information carries out intelligent scissor, and corresponding transcoding processing unit progress is dispatched to be divided into different size of video-frequency band
Parallel processing, so as to while ensureing that transcoding task is real-time, improve transcoding efficiency, then by the video information after transcoding
It is decomposed into every two field picture.
Specifically, the character in image file is identified, the character information of scientific and technical archive is obtained, specifically includes：According to image
The gray value of file, the character in image file is identified, obtains the character information of scientific and technical archive, image file is bianry image.
Here, this method identifies the character in image file, in order to obtain text information, root by the gray value in image file
According to the gray value in image file, character is identified, accuracy is high, is bonded the Wen Yi of former scientific and technical archive, without information checkout procedure,
Save human cost.
In actual application, according to the gray value of image file, the character in image file is identified, obtains scientific and technological shelves
The character information of case, specific implementation process are as follows：
Coloured image in the image file collected is converted to by 8 256 color shade images using maximum value process, used
Maximum variance between clusters choose I values, are bianry image by greyscale image transitions, the character zone in image are repositioned, to character
After region is filtered, the closed operation of complex potential after first expanding is carried out, then splits and obtains monocase image.Calculate in monocase image
Comprising hole number.Hole number according to being included in image is classified to character picture, to hole number identical character picture,
Line is assisted in identifying by addition or calculates aspect ratio example digital identification is carried out to character picture.When the character picture calculated
Hole number when being 2, then the character is digital " 8 ", end of identification；When the hole number of the character picture calculated is not 2, then
Determine whether, when the hole number of the character picture calculated is 1, then the character is digital " 0 ", " 6 " or " 9 ", needs to add
Assist in identifying line or calculate aspect ratio example and digital identification is carried out to character picture, when the hole number of the character picture calculated
Be 1 when, then determine whether, when the character picture calculated hole number be 0 when, then the character for numeral " 1,2,3,4,
5 " or " 7 ", it need to add to assist in identifying line or calculate aspect ratio example that digital identification is carried out to character picture, when the word calculated
The hole number for according with image is not 0, then nonnumeric character, end of identification, output character information.
Here, this method is classified according to Digital Character Image hole number to Digital Character Image, to hole after classification
Quantity identical character picture, the method for calculating hole number after line again is assisted in identifying using increase, reduce operand, avoided existing
Have to character picture size normalized in method, recognition accuracy is high, strong robustness.
Specifically, according to retrieval request, according to character information, retrieved based on cloud computing execution information, obtain retrieval result,
And according to the source address of retrieval request, feedback searching result, specifically include：According to retrieval request, pre-stored scientific and technological shelves are transferred
Case, character information is compared with the keyword or summary info of every scientific and technical archive, contrast is obtained, by contrast highest
Scientific and technical archive, as retrieval result, and transmit to the source address of retrieval request.Here, this method is carried out by character information
Retrieval, improve the degree of accuracy of retrieval.Also, this method is transferred corresponding with the type of the retrieval request according to retrieval request
Scientific and technical archive, the quantity of scientific and technical archive to be compared is reduced, reduce operational data amount.
In actual application, according to retrieval request, before transferring pre-stored scientific and technical archive, this method also includes building
Vertical scientific and technical literature ontology library, specific implementation process are：Semantic analysis is carried out to scientific and technical literature, to extract Chinese key and English
Keyword.Identical Chinese key or English keyword are merged, synonymous or near adopted Chinese key and English close
Keyword is classified as one kind.To each class keywords, a technology literature information body link is established, meanwhile, establish the science and technology
The index of documentation ＆ info body link sensing source scientific and technical literature.Gather the link of technology literature information body and the technology literature information
The index of body link sensing source scientific and technical literature, forms scientific and technical literature ontology library.Wherein, technology literature information includes:Scientific and technological text
Topic, author, summary, keyword, publication time, the background parts of scientific and technical literature, problematic portion and the solution page offered.
Character information is compared with the keyword or summary info of every scientific and technical archive, is specially：The character of reading
Information, the technology literature information sheet corresponding to the same class keywords to match with the term is searched in scientific and technical literature ontology library
Body links.Pointed to by the technology literature information body link corresponding to same class keywords and technology literature information body link
The index of source scientific and technical literature, pertinent literature is found out, and user is shown to by predetermined order.
Here, this method by establish have scientific and technical literature ontology library, be stored with scientific and technical literature ontology library same class keywords,
With the technology literature information body link corresponding to class keywords and technology literature information body link sensing source scientific and technical literature
Index, be synonymous or nearly adopted Chinese key and English keyword set with class keywords so that user input term
Afterwards, the technology literature information sheet corresponding to the same class keywords that the term matches need to be only searched in scientific and technical literature ontology library
Body links, and is pointed to by the technology literature information body link corresponding to same class keywords and technology literature information body link
The index of source scientific and technical literature, pertinent literature is found out, and user is shown to by predetermined order, you can retrieval is realized, compared to existing
Technology, the original language in retrieving is eliminated to the translation process of object language, can improve the accuracy of Indexing of Scien. and Tech. Literature.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present utility model.In this manual, to the schematic table of above-mentioned term
State and be necessarily directed to identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be with
Combined in an appropriate manner in any one or more embodiments or example.In addition, in the case of not conflicting, this area
Technical staff the different embodiments or example and the feature of different embodiments or example described in this specification can be entered
Row combines and combination.
It should be noted that the flow chart and block diagram in accompanying drawing show the clothes according to multiple embodiments of the present utility model
Architectural framework in the cards, function and the operation of business device, method and computer program product.At this point, flow chart or frame
Each square frame in figure can represent a part for a module, program segment or code, the module, the one of program segment or code
Part includes one or more executable instructions for being used to realize defined logic function.Replaced it should also be noted that being used as at some
In the realization changed, the function of being marked in square frame can also be with different from the order marked in accompanying drawing generation.For example, two companies
Continuous square frame can essentially be performed substantially in parallel, and they can also be performed in the opposite order sometimes, and this is according to involved
Depending on function.It is also noted that the square frame in each square frame and block diagram and/or flow chart in block diagram and/or flow chart
Combination, function or the special hardware based server of action can be realized as defined in execution, or can use special
Realized with the combination of hardware and computer instruction.
The configuration device that the utility model embodiment is provided can be computer program product, including store program generation
The computer-readable recording medium of code, the instruction that described program code includes can be used for performing described in previous methods embodiment
Method, specific implementation can be found in embodiment of the method, will not be repeated here.
It is apparent to those skilled in the art that for convenience and simplicity of description, the service of foregoing description
The specific work process of device, device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed server, apparatus and method, can
To realize by another way.Device embodiment described above is only schematical, for example, the unit is drawn
Point, only a kind of division of logic function, there can be other dividing mode when actually realizing, in another example, multiple units or group
Part can combine or be desirably integrated into another server, or some features can be ignored, or not perform.It is another, show
Show or the mutual coupling discussed or direct-coupling or communication connection can be by some communication interfaces, device or unit
INDIRECT COUPLING or communication connection, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be published to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the utility model can be integrated in a processing unit,
Can be that unit is individually physically present, can also two or more units it is integrated in a unit.
If the function is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, the technical solution of the utility model substantially or
Person says that the part of the part to be contributed to prior art or the technical scheme can be embodied in the form of software product,
The computer software product is stored in a storage medium, including some instructions are causing a computer equipment (can be with
Personal computer, server, or network equipment etc.) perform each embodiment methods described of the utility model whole or portion
Step by step.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), with
Machine access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes
Matter.
Finally it should be noted that：Various embodiments above is only to illustrate the technical solution of the utility model, rather than it is limited
System；Although the utility model is described in detail with reference to foregoing embodiments, one of ordinary skill in the art should
Understand：It can still modify to the technical scheme described in foregoing embodiments, either to which part or whole
Technical characteristic carries out equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from this practicality newly
The scope of each embodiment technical scheme of type, it all should cover among claim of the present utility model and the scope of specification.
Claims (7)
- A kind of 1. information retrieval categorizing system based on cloud computing, it is characterised in that including：Camera, scanner, service terminal, retrieval analysis server and cloud server,The service terminal includes image processing subsystem, optical character recognition subsystem, information processing subsystem, data storage Subsystem, transmission subsystem and touch display screen,Described image processing subsystem, the optical character recognition subsystem, described information processing subsystem and the data are deposited Storage subsystem is sequentially connected, and described information processing subsystem also connects with the transmission subsystem and the touch display screen respectively Connect,The camera and the scanner are connected with described image processing subsystem, the transmission subsystem, the retrieval Analysis server and the cloud server are sequentially connected,The camera, for gathering the image information or video information of scientific and technical archive, and transmit to described image and handle subsystem System,The scanner, for scanning scientific and technical archive, scanning information is obtained, and transmitted to described image processing subsystem,Described image processing subsystem, for pre-processing described image information, the video information or the scanning information, obtain The image file of object format,The optical character recognition subsystem, for identifying the character in described image file, obtain the character letter of scientific and technical archive Breath, and transmit to described information processing subsystem,Described information processing subsystem, for according to the character information, generating retrieval request, and by the retrieval request and institute State character information to transmit to the retrieval analysis server by the transmission subsystem, be additionally operable to transmission subsystem feedback Retrieval result is kept in data storage subsystem, and the idsplay order transmitted according to touch display screen, from data storage Retrieval result is transferred in system, is transmitted to touch display screen,The retrieval analysis server, for analyzing the retrieval request, the retrieval type of the retrieval request is obtained, it is determined that with The retrieval corresponding target cloud server of type, and the retrieval request and the character information are sent to the target Cloud server,The target cloud server, for according to the retrieval request, according to the character information, letter to be performed based on cloud computing Breath retrieval, obtains retrieval result, and the retrieval result is passed sequentially through into the retrieval analysis server, the transmission subsystem Transmit to described information processing subsystem,The data storage subsystem, for keeping in retrieval result,The touch display screen, for receiving the idsplay order of user's input, and transmit to described information processing subsystem, also use In the retrieval result of display described information processing subsystem transmission.
- 2. the information retrieval categorizing system based on cloud computing according to claim 1, it is characterised in thatDescribed image processing subsystem includes the digital analog converter and DSP Processor being sequentially connected,The camera and the scanner are connected with the digital analog converter, the DSP Processor and the optical character Recognition subsystem connects,The digital analog converter, the video information for the camera to be gathered are converted to digital information,The DSP Processor, for pre-processing the digital information, described image information and the scanning information in real time, obtain The image file of object format.
- 3. the information retrieval categorizing system based on cloud computing according to claim 2, it is characterised in that the optical character is known Small pin for the case system includes arm processor,The DSP Processor is connected by HPI interfaces with the arm processor,The HPI interfaces, exchanged for the information between DSP and arm processor,The arm processor, for identifying the image file of the object format, obtain text information.
- 4. the information retrieval categorizing system based on cloud computing according to claim 1, it is characterised in thatThe transmission subsystem includes couple in router and the hardware firewall being sequentially connected,Described information processing subsystem is connected to the couple in router by wireless network,The safe access gateway of the hardware firewall is connected to the retrieval analysis server.
- 5. the information retrieval categorizing system based on cloud computing according to claim 2, it is characterised in thatThe chip model of the DSP Processor is TMS320DM642.
- 6. the information retrieval categorizing system based on cloud computing according to claim 3, it is characterised in thatThe chip model of the arm processor is S3C6410.
- 7. the information retrieval categorizing system based on cloud computing according to claim 1, it is characterised in that the camera is CCD camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720630892.2U CN207051898U (en) | 2017-06-01 | 2017-06-01 | Information retrieval categorizing system based on cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720630892.2U CN207051898U (en) | 2017-06-01 | 2017-06-01 | Information retrieval categorizing system based on cloud computing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207051898U true CN207051898U (en) | 2018-02-27 |
Family
ID=61491871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201720630892.2U Active CN207051898U (en) | 2017-06-01 | 2017-06-01 | Information retrieval categorizing system based on cloud computing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207051898U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112904815A (en) * | 2021-01-18 | 2021-06-04 | 汉维科技发展有限公司 | Building intelligent system integration method |
| CN113190409A (en) * | 2021-05-08 | 2021-07-30 | 广东白云学院 | Big data management analysis system |
-
2017
- 2017-06-01 CN CN201720630892.2U patent/CN207051898U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112904815A (en) * | 2021-01-18 | 2021-06-04 | 汉维科技发展有限公司 | Building intelligent system integration method |
| CN113190409A (en) * | 2021-05-08 | 2021-07-30 | 广东白云学院 | Big data management analysis system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10191650B2 (en) | Actionable content displayed on a touch screen | |
| JP4395176B2 (en) | Future technology trend prediction support apparatus, method, program, and method for providing future technology trend prediction support service | |
| US20200004815A1 (en) | Text entity detection and recognition from images | |
| EP4207772A1 (en) | Video processing method and apparatus | |
| CN115982376B (en) | Method and device for training model based on text, multimode data and knowledge | |
| CN113051914A (en) | Enterprise hidden label extraction method and device based on multi-feature dynamic portrait | |
| CN207051898U (en) | Information retrieval categorizing system based on cloud computing | |
| KR102440198B1 (en) | VIDEO SEARCH METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM | |
| CN109408658A (en) | Expression picture reminding method, device, computer equipment and storage medium | |
| CN106021319A (en) | Voice interaction method, device and system | |
| TW201418997A (en) | System and method for posting messages by audio signals | |
| CN107122498A (en) | Information retrieval categorizing system and method based on cloud computing | |
| CN112201253B (en) | Text marking method, text marking device, electronic equipment and computer readable storage medium | |
| CN107506407B (en) | File classification and calling method and device | |
| CN109391836B (en) | Supplementing a media stream with additional information | |
| EP3564833B1 (en) | Method and device for identifying main picture in web page | |
| WO2021114634A1 (en) | Text annotation method, device, and storage medium | |
| JP5876396B2 (en) | Information collection program, information collection method, and information processing apparatus | |
| Belhi et al. | Deep learning and cultural heritage: the CEPROQHA project case study | |
| CN107133644B (en) | Digital library's content analysis system and method | |
| CN108182116A (en) | A kind of bidding documents analysis method, device, equipment and storage medium | |
| CN116090450A (en) | Text processing method and computing device | |
| CN107918606A (en) | Tool is as name word recognition method and device | |
| CN108600254A (en) | A kind of audio and video identifying system | |
| CN104484414B (en) | A kind for the treatment of method and apparatus of collection information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |