CN110895541A - Intelligent platform for Timing cloud data statistics - Google Patents
Intelligent platform for Timing cloud data statistics Download PDFInfo
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- CN110895541A CN110895541A CN201911046080.3A CN201911046080A CN110895541A CN 110895541 A CN110895541 A CN 110895541A CN 201911046080 A CN201911046080 A CN 201911046080A CN 110895541 A CN110895541 A CN 110895541A
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Abstract
The invention discloses a Timing cloud data statistics intelligent platform which comprises a data acquisition unit, a data interaction terminal, a data processing layer and a classification expansion editing unit, wherein the data acquisition unit, the data interaction terminal and the classification expansion editing unit are in wireless bidirectional connection with the data processing layer through wireless, and the data acquisition unit is in wireless bidirectional connection with the data interaction terminal. This intelligent platform of Timing cloud data statistics can realize carrying out the segmentation storage according to the time of typing through the data that will gather, fine reaching through carrying out intelligent classification with the data of storage in the big database in high in the clouds, make things convenient for people to carry out the purpose that directional intelligence drawed, realized through carrying out keyword discernment and data retrieval in a plurality of categorised resources, shorten the time of data extraction and improve the matching degree of data, can not cause the system card to pause, the match rate of data retrieval has been improved greatly simultaneously.
Description
Technical Field
The invention relates to the technical field of data statistics, in particular to a Timing cloud data statistics intelligent platform.
Background
The cloud data is a general name of technologies and platforms for data integration, data analysis, data integration, data distribution and data early warning based on cloud computing business mode application, the cloud data is a data integration processing platform, the platform develops the most complete data analysis model through a high-frequency data cleaning technology to provide efficient investment decision reference for users, and the platform is a complete information high-speed processing platform by taking a data layer (data stream) -an information layer (information stream) -a precision computation layer (multi-dimensional integration platform) -a multifunctional integration distribution layer-an information push platform-a superconducting alarm system as a processing platform.
In the existing data acquisition and statistics process of cloud data, data is mostly directly input into a storage unit of a cloud system for storage through a data acquisition and editing input mode, and when the data acquisition and statistics method is used, retrieval, query and extraction are directly performed in the storage unit of the cloud system according to retrieval keywords, however, when the data acquisition is performed by the data statistics method, because the data in a data retrieval database is more, a large amount of time is spent, people need to wait for the data for a long time, the system jam is easy to cause, and the matching rate is low, the acquired data cannot be stored in a segmented mode according to the input time, the purpose of performing oriented intelligent extraction by performing intelligent classification on the data stored in a large cloud database cannot be achieved, and the purposes of performing keyword identification and data retrieval in a plurality of classified resources cannot be achieved, the data extraction time is shortened, and the data matching degree is improved, so that great inconvenience is brought to the data extraction work of people.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a Timing cloud data statistics intelligent platform, which solves the problems that when the existing data statistics method is used for data extraction, due to the fact that a large amount of database data are needed for data retrieval, a large amount of time is consumed, people need to wait for a long time, system blocking is easy to cause, meanwhile, the matching rate is low, segmented storage of the acquired data according to the input time cannot be achieved, the purpose that the data stored in a cloud large database are intelligently classified and processed, people can conveniently conduct directional intelligent extraction is achieved, and the purposes that the data extraction time is shortened and the data matching degree is improved by conducting keyword identification and data retrieval in a plurality of classified resources cannot be achieved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a Timing cloud data statistics intelligent platform comprises a data acquisition unit, a data interaction terminal, a data processing layer and a classification expansion editing unit, wherein the data acquisition unit, the data interaction terminal and the classification expansion editing unit are in wireless bidirectional connection with the data processing layer through wireless, the data acquisition unit and the data interaction terminal are in wireless bidirectional connection, the data processing layer comprises a cloud server, a Timing sequencing module, an acquired data classifying unit, a big database storage module, a data intelligent classifying unit, a data resource classifying unit and a data intelligent extraction unit, the output end of the cloud server is electrically connected with the input end of the Timing sequencing module, the output end of the Timing sequencing module is electrically connected with the input end of the acquired data classifying unit, and the output end of the acquired data classifying unit is electrically connected with the input end of the big database storage module, and big database storage module and data intelligent classification unit realize two-way electric connection, the output of data intelligent classification unit and the input electric connection of data resource classification unit, and data resource classification unit and the input electric connection of data intelligence extraction unit, high in the clouds server realizes two-way electric connection with big database storage module, data intelligent classification unit and data intelligence extraction unit respectively, data intelligent classification unit includes microprocessor module, data extraction module, data classification resource generation module, data classification restraint settlement module, data classification module and many restraint algorithm processing module.
Preferably, the microprocessor module is respectively and electrically connected with the data extraction module, the data classification resource generation module, the data classification constraint setting module, the data classification module and the multi-constraint algorithm processing module in a bidirectional mode.
Preferably, the data classification constraint setting module comprises a classification algorithm extraction module, a classification algorithm arrangement module and a classification algorithm matching module.
Preferably, the data classification module comprises a data integration module, a classification constraint defining module and a retrieval engine generating module.
Preferably, the intelligent data extraction unit comprises an extraction instruction receiving module, an extraction keyword retrieval module, a data resource selection module, a data resource matching module and a matching data extraction module, wherein the output end of the extraction instruction receiving module is electrically connected with the input end of the extraction keyword retrieval module, and the output end of the extraction keyword retrieval module is respectively electrically connected with the input ends of the data resource selection module, the data resource matching module and the matching data extraction module.
Preferably, the cloud server is in wireless two-way connection with the data acquisition unit through the data acquisition wireless communication module, and the cloud server is in wireless two-way connection with the data interaction terminal through the data transmission wireless communication module.
Preferably, the collected data classification unit includes N time period task data, and the data resource classification unit includes N types of data resources.
Preferably, the output end of the classifying expansion editing unit is wirelessly connected with the input ends of the intelligent data classifying unit, the intelligent data resource classifying unit and the intelligent data extracting unit respectively, and the classifying expansion editing unit is wirelessly and bidirectionally connected with the cloud server.
(III) advantageous effects
The invention provides a Timing cloud data statistics intelligent platform. Compared with the prior art, the method has the following beneficial effects:
(1) the intelligent platform for Timing cloud data statistics comprises a cloud server, a Timing sequencing module, a collected data classification unit, a big database storage module, a data intelligent classification unit, a data resource classification unit and a data intelligent extraction unit on a data processing layer, wherein the output end of the cloud server is electrically connected with the input end of the Timing sequencing module, the output end of the Timing sequencing module is electrically connected with the input end of the collected data classification unit, the output end of the collected data classification unit is electrically connected with the input end of the big database storage module, the big database storage module is electrically connected with the data intelligent classification unit in a bidirectional mode, the output end of the data intelligent classification unit is electrically connected with the input end of the data resource classification unit, the data resource classification unit is electrically connected with the input end of the data intelligent extraction unit, and the cloud server is respectively connected with the big database storage module, the Timing sequencing module, the collected data classification unit, the big database storage module, The intelligent data classification unit is electrically connected with the intelligent data extraction unit in a bidirectional way, and comprises a micro-processing module, a data extraction module, a data classification resource generation module, a data classification constraint setting module, a data classification module and a multi-constraint algorithm processing module, so that the acquired data can be stored in a segmented manner according to the input time, the aim of facilitating the directional intelligent extraction of people by intelligently classifying the data stored in a cloud large database is well fulfilled, the aims of shortening the data extraction time and improving the data matching degree by carrying out keyword identification and data retrieval in a plurality of classification resources are well fulfilled, the problems that more data in the database are searched, a great amount of time is spent by people, the situation that people need to wait for a long time is caused, and system blocking is not caused are well avoided, meanwhile, the matching rate of data retrieval is greatly improved, so that the data extraction work of people is greatly facilitated.
(2) This Timing cloud data statistics intelligent platform, through drawing the instruction receiving module including drawing at data intelligence extraction element, draw keyword retrieval module, data resource selection module, data resource matching module and matching data extraction module, draw the output of instruction receiving module and draw keyword retrieval module's input electric connection, and draw keyword retrieval module's output respectively with data resource selection module, data resource matching module and matching data extraction module's input electric connection, can realize drawing the unit through establishing data intelligence between people's interactive terminal and data processing system, make things convenient for people to carry out fine operation, the module is clear, easy operation.
(3) This Timing cloud data statistics intelligent platform, through pass through data acquisition wireless communication module and data acquisition unit realization wireless both way junction at the high in the clouds server, and the high in the clouds server passes through data transmission wireless communication module and data interaction terminal realization wireless both way junction, can realize through establishing wireless communication network between high in the clouds server and data acquisition unit and data interaction terminal, make the transmission that carries on that data can be safe quick.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the architecture of the data processing layer of the present invention;
FIG. 3 is a schematic block diagram of the structure of the intelligent data classification unit according to the present invention;
fig. 4 is a schematic block diagram of the structure of the intelligent data extraction unit of the present invention.
In the figure, 1 data acquisition unit, 2 data interaction terminal, 3 data processing layer, 31 cloud server, 32Timing sequencing module, 33 acquired data classification unit, 34 big database storage module, 35 data intelligent classification unit, 351 microprocessing module, 352 data extraction module, 353 data classification resource generation module, 354 data classification constraint setting module, 3541 classification algorithm extraction module, 3542 classification algorithm arrangement module, 3543 classification algorithm matching module, 355 data classification module, 3551 data integration module, 3552 classification constraint limiting module, 3553 search engine generation module, 356 multi-constraint algorithm processing module, 36 data resource classification unit, 37 data intelligent extraction unit, 371 extraction instruction receiving module, 372 extraction keyword search module, 373 data resource selection module, 374 data resource matching module, 375 matching data extraction module, 4 a classification expansion editing unit, 5 a data acquisition wireless communication module and 6 a data transmission wireless communication module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a Timing cloud data statistics intelligent platform comprises a data acquisition unit 1, a data interaction terminal 2, a data processing layer 3 and a classification expansion editing unit 4, wherein the data acquisition unit 1, the data interaction terminal 2 and the classification expansion editing unit 4 are in wireless bidirectional connection with the data processing layer 3 through wireless, the data acquisition unit 1 is in wireless bidirectional connection with the data interaction terminal 2, the data processing layer 3 comprises a cloud server 31, a Timing sorting module 32, a collected data sorting unit 33, a big database storage module 34, a data intelligent sorting unit 35, a data resource sorting unit 36 and a data intelligent extraction unit 37, the output end of the cloud server 31 is electrically connected with the input end of the Timing sorting module 32, the output end of the Timing sorting module 32 is electrically connected with the input end of the collected data sorting unit 33, the output end of the collected data sorting unit 33 is electrically connected with the input end of the big database storage module 34, the big database storage module 34 is electrically connected with the intelligent data classification unit 35 in a bidirectional manner, the output end of the intelligent data classification unit 35 is electrically connected with the input end of the intelligent data resource classification unit 36, the intelligent data resource classification unit 36 is electrically connected with the input end of the intelligent data extraction unit 37, the cloud server 31 is respectively electrically connected with the big database storage module 34, the intelligent data classification unit 35 and the intelligent data extraction unit 37 in a bidirectional manner, the intelligent data classification unit 35 comprises a micro-processing module 351, a data extraction module 352, a data classification resource generation module 353, a data classification constraint setting module 354, a data classification module 355 and a multi-constraint algorithm processing module 356, the micro-processing module 351 is respectively electrically connected with the data extraction module 352, the data classification resource generation module 353, the data classification constraint setting module 354, the data classification module 355 and the multi-constraint algorithm processing module 356 in a bidirectional manner, the data classification constraint setting module 354 includes a classification algorithm extracting module 3541, a classification algorithm arranging module 3542 and a classification algorithm matching module 3543, the data classification module 355 includes a data integrating module 3551, a classification constraint limiting module 3552 and a search engine generating module 3553, the data intelligent extracting unit 37 includes an extracting instruction receiving module 371, an extracting keyword searching module 372, a data resource selecting module 373, a data resource matching module 374 and a matching data extracting module 375, an output end of the extracting instruction receiving module 371 is electrically connected with an input end of the extracting keyword searching module 372, an output end of the extracting keyword searching module 372 is electrically connected with input ends of the data resource selecting module 373, the data resource matching module 374 and the matching data extracting module 375 respectively, the cloud server 31 is in wireless bidirectional connection with the data collecting unit 1 through a data collecting wireless communication module 5, the cloud server 31 is in wireless bidirectional connection with the data interaction terminal 2 through the data transmission wireless communication module 6, the collected data classification unit 33 comprises N time period task data, the data resource classification unit 36 comprises N types of data resources, the output end of the classification expansion editing unit 4 is in wireless connection with the input ends of the data intelligent classification unit 35, the data resource classification unit 36 and the data intelligent extraction unit 37 respectively, and the classification expansion editing unit 4 is in wireless bidirectional connection with the cloud server 31.
During the use, at first carry out data acquisition through data acquisition unit 1, the data that will gather again pass through data acquisition wireless communication module 5 wireless transmission to the data processing layer 3 in, then the high in the clouds server 31 in the data processing layer 3 controls Timing sequencing module 32 earlier and carries out real-time sequencing processing according to the time of data entry, the data after the completion of sequencing are listed as in the data acquisition classification unit 33 earlier, then store in big database storage module 34 in proper order, then high in the clouds server 31 can control data intelligent classification unit 35 and carry out the intelligent classification of data.
The microprocessor 351 in the data intelligent classification unit 35 firstly controls the data extraction module 352 to extract data in the big database storage module 34, then controls the classification algorithm extraction module 3541 in the data classification constraint setting module 354 to extract a plurality of classification algorithms from the classification expansion editing unit 4, the classification algorithm arrangement module 3542 performs queuing arrangement on the extracted classification algorithms, then performs matching processing on the classification algorithms and the data formats in the system through the classification algorithm matching module 3543, then the microprocessor 351 controls the data integration module 3551 in the data classification module 355 to perform integration processing on the extracted data, then performs constraint limitation on the integrated data through the classification constraint limiting module 3552 according to the classification algorithms, and generates a search engine of the limited data through the search engine generation module 3553 after the constraint is completed, then, the multi-constraint algorithm processing module 356 performs the limiting processing of each classification algorithm to generate a plurality of types of search engines, and then, the data classification resource generating module 353 sorts the generated search engines and forms resource units, and then the data resource classifying unit 36 may queue the formed resource units.
When people need to extract data, people can input retrieval keywords into the cloud server 31 through the data interaction terminal 2, then the cloud server 31 can control the data intelligent extraction unit 37 to work, after the extraction instruction receiving module 371 in the data intelligent extraction unit 37 receives an extraction instruction, the retrieval module 372 retrieves the data resources in the data resource classification unit 36, then the data resource selection module 373 selects retrieved data resources, then data matching is performed through the data resource matching module 374, then data extraction is performed through the matching data extraction module 375, and the extracted data are respectively wirelessly sent to the data interaction terminal 2 through the cloud server 31 and the data transmission wireless communication module 6.
In the whole data statistical system, system maintenance personnel can edit and modify the resource types required to be classified in the system through the classification expansion editing unit 4, and can edit and upload a classification algorithm at the same time.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a Timing cloud data statistics intelligent platform, includes data acquisition unit (1), data interaction terminal (2), data processing layer (3) and categorised expansion editor unit (4), data acquisition unit (1), data interaction terminal (2) and categorised expansion editor unit (4) all realize wireless both way junction through wireless and data processing layer (3), and data acquisition unit (1) and data interaction terminal (2) realize wireless both way junction, its characterized in that: the data processing layer (3) comprises a cloud server (31), a Timing sorting module (32), a collected data classifying unit (33), a big database storage module (34), an intelligent data classifying unit (35), a data resource classifying unit (36) and an intelligent data extracting unit (37), the output end of the cloud server (31) is electrically connected with the input end of the Timing sorting module (32), the output end of the Timing sorting module (32) is electrically connected with the input end of the collected data classifying unit (33), the output end of the collected data classifying unit (33) is electrically connected with the input end of the big database storage module (34), the big database storage module (34) is electrically connected with the intelligent data classifying unit (35) in a bidirectional mode, and the output end of the intelligent data classifying unit (35) is electrically connected with the input end of the data resource classifying unit (36), and the data resource classification unit (36) is electrically connected with the input end of the data intelligent extraction unit (37), the cloud server (31) is respectively electrically connected with the big database storage module (34), the data intelligent classification unit (35) and the data intelligent extraction unit (37) in a bidirectional mode, and the data intelligent classification unit (35) comprises a micro-processing module (351), a data extraction module (352), a data classification resource generation module (353), a data classification constraint setting module (354), a data classification module (355) and a multi-constraint algorithm processing module (356).
2. The intelligent platform for Timing cloud data statistics according to claim 1, wherein: the micro-processing module (351) is respectively electrically connected with the data extraction module (352), the data classification resource generation module (353), the data classification constraint setting module (354), the data classification module (355) and the multi-constraint algorithm processing module (356) in a bidirectional mode.
3. The Timing cloud data statistics intelligent platform according to claim 2, wherein: the data classification constraint setting module (354) includes a classification algorithm extraction module (3541), a classification algorithm ranking module (3542), and a classification algorithm matching module (3543).
4. The Timing cloud data statistics intelligent platform according to claim 2, wherein: the data classification module (355) includes a data integration module (3551), a classification constraint definition module (3552), and a search engine generation module (3553).
5. The intelligent platform for Timing cloud data statistics according to claim 1, wherein: the intelligent data extraction unit (37) comprises an extraction instruction receiving module (371), an extraction keyword retrieval module (372), a data resource selection module (373), a data resource matching module (374) and a matching data extraction module (375), wherein the output end of the extraction instruction receiving module (371) is electrically connected with the input end of the extraction keyword retrieval module (372), and the output end of the extraction keyword retrieval module (372) is electrically connected with the input ends of the data resource selection module (373), the data resource matching module (374) and the matching data extraction module (375) respectively.
6. The intelligent platform for Timing cloud data statistics according to claim 1, wherein: the cloud server (31) is in wireless two-way connection with the data acquisition unit (1) through the data acquisition wireless communication module (5), and the cloud server (31) is in wireless two-way connection with the data interaction terminal (2) through the data transmission wireless communication module (6).
7. The intelligent platform for Timing cloud data statistics according to claim 1, wherein: the collected data classification unit (33) comprises N time period task data, and the data resource classification unit (36) comprises N types of data resources.
8. The intelligent platform for Timing cloud data statistics according to claim 1, wherein: the output end of the classified expansion editing unit (4) is in wireless connection with the input ends of the data intelligent classification unit (35), the data resource classification unit (36) and the data intelligent extraction unit (37), and the classified expansion editing unit (4) is in wireless bidirectional connection with the cloud server (31).
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112800306A (en) * | 2021-01-22 | 2021-05-14 | 武汉芳华杰出科技有限公司 | User information acquisition and analysis system |
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Application publication date: 20200320 |