CN107392484A - A kind of big data processing unit and method - Google Patents
A kind of big data processing unit and method Download PDFInfo
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- CN107392484A CN107392484A CN201710634243.4A CN201710634243A CN107392484A CN 107392484 A CN107392484 A CN 107392484A CN 201710634243 A CN201710634243 A CN 201710634243A CN 107392484 A CN107392484 A CN 107392484A
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- data processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The invention discloses a kind of big data processing unit and method, including primary processor, coagulation device and secondary processor, master data processing module is provided with the primary processor, the primary processor is connected with multiple coagulation devices, level one data processing module is provided with the coagulation device, one coagulation device is connected with multiple secondary processors, secondary data processing module is provided with the secondary processor, input equipment is connected with the secondary processor, data input module is provided with the input equipment.Handle the burden of mass data simultaneously present invention alleviates Corporation system, the accuracy of data processing is high, and data processing is timely, and enterprise can in time be understood and handle relevant issues, improve operating efficiency.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of big data processing unit and method.
Background technology
With the development of science and social progress, the equipment of modernization is gradually coming into the life of people, modernization
Equipment the life of people is become convenient, the equipment of modernization has also promoted the progress of human society.As information is led to
The development of letter technology and gradually accumulate the substantial amounts of data relevant with enterprise operation, therewith, on their effective utilization, it is desirable to
Even if not being method that assayer also can easily export the countermeasure with result of management.Conventional method is usually to manage
Person or analyst establish limited hypothesis according to itself experience or intuition and gone forward side by side for the purpose of proving them to collect data
Row analysis or by the methodology templating of skilled analyst to deploy the methods of.These conventional methods as it is assumed that set
Surely the ability of people is depended on, therefore the scope of the countermeasure obtained also terminates in limited scope.
Such as known following technology:In company's area sales goal, mainly by business personnel to some region of
Solution, and the relevant seller with changing region exchanges, come the marketing plan for the company of formulating.This mode relies on very much the personal energy of business personnel
Power, and be unfavorable for company and real feasibility analysis is carried out to the data of some regions.For some companies, portfolio
Greatly, while mass data ability, the poor accuracy of data processing are handled, data processing not in time, huge damage is caused to enterprise
Lose.
The content of the invention
The invention aims to solve shortcoming present in prior art, and a kind of big data processing unit proposed
And method.
To achieve these goals, present invention employs following technical scheme:
A kind of big data processing unit, including primary processor, coagulation device and secondary processor, it is provided with the primary processor
Master data processing module, the primary processor are connected with multiple coagulation devices, and level one data is provided with the coagulation device
Processing module, a coagulation device are connected with multiple secondary processors, and secondary data is provided with the secondary processor and is handled
Module, input equipment is connected with the secondary processor, data input module is provided with the input equipment.
Preferably, set in the master data processor, coagulation device and secondary processor and be equipped with data detection module,
The data detection module is used to detect input data exception.
Preferably, between master data processor and the coagulation device, between coagulation device and secondary processor
For transmitted in both directions mode.
A kind of method of big data processing, comprises the following steps:
S1:The input equipment transmits data to secondary data processing module by data input module;
S2:The secondary data processing module is by the information transfer after processing to level one data processing module;
S3:The level one data processing module is by the information transfer after processing to master data processing module.
Preferably, the secondary processor is unit immediate processing mode processor.
Preferably, the coagulation device is multiple tracks tunnel batch processing mode processor.
Preferably, the primary processor is multichannel, centralization, time-division processing mode processor.
In the present invention, regional businessman inputs sales data in secondary processor, and whether data detection module detection data
Abnormal data being present and prompt related personnel to carry out data correction, secondary data processing module carries out implementing data renewal, according to
Sales situation carries out stock-taking and correction, preserves data message, and as needed, is sent data within a period of time point
At the coagulation device of company, level one data processing module is detected the information that multiple secondary processors transmit, and by one
Level processor is collected, and data message is preserved and transmitted to the primary processor of parent company, master data processing module timesharing
The signal that section is transmitted to different coagulation device is detected, and data are collected, when running into parent company's shortage of stock
When, at primary processor transmission signal to coagulation device, coagulation device transmits a signal to the two stage treatment of businessman
At device, data exchange is completed in time, is alleviated Corporation system while is handled the burden of mass data, the accuracy of data processing
Height, data processing is timely, and enterprise can in time be understood and handle relevant issues, improve operating efficiency.
Brief description of the drawings
Fig. 1 is the first operating process schematic diagram of a kind of big data processing unit proposed by the present invention and method;
Fig. 2 is the apparatus structure schematic diagram of a kind of big data processing unit proposed by the present invention and method;
Fig. 3 is the second operating process schematic diagram of a kind of big data processing unit proposed by the present invention and method.
In figure:1 master data processor, 2 coagulation devices, 3 secondary processors.
Embodiment
Reference picture 1-3, a kind of big data processing unit, including primary processor 1, the interior master data that is provided with of primary processor 1 are handled
Module, primary processor 1 are connected with multiple coagulation devices 2, are provided with level one data processing module in coagulation device 2, one one
Level processor 2 is connected with multiple secondary processors 3, and secondary data processing module, secondary processor 3 are provided with secondary processor 3
On be connected with input equipment, data input module is provided with input equipment, at master data processor 1, coagulation device 2 and two level
Set in reason device 3 and be equipped with data detection module, data detection module is used to detect input data exception, the He of master data processor 1
Between coagulation device 2, between coagulation device 2 and secondary processor 3 be transmitted in both directions mode.
A kind of method of big data processing, comprises the following steps:S1:Data are passed through data input mould by the input equipment
Block is transmitted to secondary data processing module;S2:The secondary data processing module is by the information transfer after processing to level one data
Processing module;S3:The level one data processing module is by the information transfer after processing to master data processing module, secondary processor
3 be unit immediate processing mode processor, and coagulation device 2 is multiple tracks tunnel batch processing mode processor, and primary processor 1 is
Multichannel, centralization, time-division processing mode processor, regional businessman input sales data in secondary processor 3, Data Detection
Module detection data are with the presence or absence of abnormal data and prompt related personnel to carry out data correction, and secondary data processing module carries out real
Data renewal is applied, stock-taking and correction are carried out according to sales situation, preserve data message, and as needed, in a period of time
Inside send data at the coagulation device 2 of branch company, the letter that level one data processing module transmits multiple secondary processors 3
Breath is detected, and is collected by coagulation device 2, and data message is preserved and transmitted to the primary processor 1 of parent company,
The signal that master data processing module is transmitted to different coagulation devices 2 at times is detected, and data are collected, when
When running into parent company's shortage of stock, at the transmission signal of primary processor 1 to coagulation device 2, coagulation device 2 is by signal
Transmit to the secondary processor 3 of businessman, complete data exchange in time and alleviate Corporation system while handle the negative of mass data
Load, the accuracy of data processing is high, and data processing is timely, and enterprise can in time be understood and handle relevant issues, improve work
Make efficiency.
Specific implementation method of the present invention is as follows:
Regional businessman inputs sales data in secondary processor 3, and data detection module detection data whether there is abnormal data
And prompt related personnel to carry out data correction, secondary data processing module is carried out implementing data renewal, carried out according to sales situation
Stock-taking and correction, preserve data message, and as needed, sent data within a period of time at the one-level of branch company
Manage at device 2, level one data processing module is detected the information that multiple secondary processors 3 transmit, and is entered by coagulation device 2
Row collects, and data message is preserved and transmitted to the primary processor 1 of parent company, master data processing module is at times to different
The signal that coagulation device 2 transmits is detected, and data are collected, when parent company's shortage of stock is run into,
At the transmission signal of primary processor 1 to coagulation device 2, coagulation device 2 is transmitted a signal at the secondary processor 3 of businessman,
Data exchange is completed in time.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (7)
1. a kind of big data processing unit, including primary processor(1), coagulation device(2)And secondary processor(3), its feature
It is, the primary processor(1)It is interior to be provided with master data processing module, the primary processor(1)With multiple coagulation devices(2)Even
Connect, the coagulation device(2)It is interior to be provided with level one data processing module, a coagulation device(2)With multiple secondary processors
(3)Connection, the secondary processor(3)It is interior to be provided with secondary data processing module, the secondary processor(3)On be connected with input
Equipment, the input equipment is interior to be provided with data input module.
A kind of 2. big data processing unit according to claim 1, it is characterised in that the master data processor(1), one
Level processor(2)And secondary processor(3)Inside set and be equipped with data detection module, the data detection module, which is used to detect, to be inputted
Data exception.
A kind of 3. big data processing unit according to claim 1, it is characterised in that the master data processor(1)With
Coagulation device(2)Between, coagulation device(2)And secondary processor(3)Between be transmitted in both directions mode.
A kind of 4. method of big data processing, it is characterised in that comprise the following steps:
S1:The input equipment transmits data to secondary data processing module by data input module;
S2:The secondary data processing module is by the information transfer after processing to level one data processing module;
S3:The level one data processing module is by the information transfer after processing to master data processing module.
A kind of 5. method of big data processing according to claim 4, it is characterised in that the secondary processor(3)For
Unit immediate processing mode processor.
A kind of 6. method of big data processing according to claim 4, it is characterised in that the coagulation device(2)For
Multiple tracks tunnel batch processing mode processor.
A kind of 7. method of big data processing according to claim 4, it is characterised in that the primary processor(1)To be more
Passage, centralization, time-division processing mode processor.
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CN201710634243.4A CN107392484A (en) | 2017-07-29 | 2017-07-29 | A kind of big data processing unit and method |
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CN201710634243.4A CN107392484A (en) | 2017-07-29 | 2017-07-29 | A kind of big data processing unit and method |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090171814A1 (en) * | 2007-12-27 | 2009-07-02 | Beijing Aotengxunda Science And Technology Co., Ltd | Remote warehouse management system |
CN102821164A (en) * | 2012-08-31 | 2012-12-12 | 河海大学 | Efficient parallel-distribution type data processing system |
CN106204147A (en) * | 2016-07-17 | 2016-12-07 | 合肥赑歌数据科技有限公司 | A kind of big data processing equipment and method |
-
2017
- 2017-07-29 CN CN201710634243.4A patent/CN107392484A/en not_active Withdrawn
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090171814A1 (en) * | 2007-12-27 | 2009-07-02 | Beijing Aotengxunda Science And Technology Co., Ltd | Remote warehouse management system |
CN102821164A (en) * | 2012-08-31 | 2012-12-12 | 河海大学 | Efficient parallel-distribution type data processing system |
CN106204147A (en) * | 2016-07-17 | 2016-12-07 | 合肥赑歌数据科技有限公司 | A kind of big data processing equipment and method |
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Application publication date: 20171124 |