CN109063051A - A kind of storage method of industry big data - Google Patents
A kind of storage method of industry big data Download PDFInfo
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- CN109063051A CN109063051A CN201810794084.9A CN201810794084A CN109063051A CN 109063051 A CN109063051 A CN 109063051A CN 201810794084 A CN201810794084 A CN 201810794084A CN 109063051 A CN109063051 A CN 109063051A
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Abstract
The invention discloses a kind of storage methods of industrial big data, comprising: step 1, storage requesting party issue storage request；Step 2, server end are using acquisition industrial equipment information in distributed sensor networks；The industrial equipment information is divided into several sub-informations by step 3, and sub-information is individually packaged into block of information；Step 4, creation storage address list；Step 5, by chunk store in distributed data base, and register the storage address of each block of information；Storage address is recorded in storage address list by step 6；The storage address list is passed to storage requesting party by step 7.By the way that industrial equipment information breaks the whole up into parts, industrial equipment information that can be big to the scale of construction is effectively stored this method, reduces the storage pressure of single database.This method can be used for industrial automation.
Description
Technical field
The present invention relates to technical field of automation in industry, in particular to a kind of storage method of industrial big data.
Background technique
Industrial big data refers in industrial circle, around typical intelligence manufacture mode, from customer demand to selling, order
List, plan, research and development, design, technique, manufacture, buying, supply, inventory, delivery and delivery, O&M, are scrapped or are returned at after-sale service
Receive the general name for Various types of data and the relevant technologies and application caused by entire product lifecycle links such as remanufacturing.Its
Using product data as core, the traditional industry that greatly extended data area, while further including industrial big data the relevant technologies and answering
With.
The industrial big data scale of construction is bigger, and the high-frequency data and internet data of a large amount of machinery equipments persistently pour in, large-scale
The data set of industrial enterprise is up to PB grades of even EB ranks.Therefore, to by the industrial data of the so big scale of construction carry out storage mention
Challenge is gone out.
Summary of the invention
The object of the present invention is to provide a kind of storage methods of industrial big data, and to cope with, the industrial data scale of construction is big to be chosen
War.
The solution that the present invention solves its technical problem is: a kind of storage method of industry big data, which is characterized in that
Include:
Step 1, storage requesting party issue storage request；
Step 2, server end are using acquisition industrial equipment information in distributed sensor networks；
The industrial equipment information is divided into several sub-informations by step 3, and sub-information is individually packaged into block of information；
Step 4, creation storage address list；
Step 5, by chunk store in distributed data base, and register the storage address of each block of information；
Storage address is recorded in storage address list by step 6；
The storage address list is passed to storage requesting party by step 7.
Further, in step 3, the industrial equipment information is divided into several sub-informations, sub-information is individually packaged into
The sub-step of block of information includes:
Step 3.1 carries out multiclass classification by tree-shaped classification to industrial equipment information, obtains several sub-informations；
Step 3.2 is linked according to the access between classified catalogue creation sub-information；
Access link is packaged into block of information together with each sub-information by step 3.3.
Further, the multiclass classification includes: the first-level class carried out with industrial scene, is carried out with the ID number of industrial equipment
Secondary classification, the three-level classification carried out with the classification of information.
Further, in step 2, the server end, which uses, obtains industrial equipment information in distributed sensor networks,
It specifically including: industrial equipment is subjected to mac function division according to function, each mac function includes a sensor local area network,
Each sensor local area network is interconnected by internet and cloud platform, and the server end is interconnected by internet and cloud platform, often
A local area network is equipped with several information collection nodes, and information collection node acquires industrial equipment information.
Further, the information collection node configures at least one Radio Transmission Node.
Further, for each information collection node, corresponding knowledge analysis library is established in cloud platform, in conjunction with artificial intelligence
Energy algorithm, filtering noise information.
The beneficial effects of the present invention are: this method is by breaking the whole up into parts industrial equipment information, industry that can be big to the scale of construction
Facility information is effectively stored, and the storage pressure of single database is reduced.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described.Obviously, described attached drawing is a part of the embodiments of the present invention, rather than is all implemented
Example, those skilled in the art without creative efforts, can also be obtained according to these attached drawings other designs
Scheme and attached drawing.
Fig. 1 is the step flow chart of the method for the present invention；
Fig. 2 is the sub-step flow chart of step 3.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to design of the invention, specific structure and generation clear
Chu is fully described by, to be completely understood by the purpose of the present invention, feature and effect.Obviously, described embodiment is this hair
Bright a part of the embodiment, rather than whole embodiments, based on the embodiment of the present invention, those skilled in the art are not being paid
Other embodiments obtained, belong to the scope of protection of the invention under the premise of creative work.In addition, be previously mentioned in text
All connection/connection relationships not singly refer to that component directly connects, and referring to can be added deduct according to specific implementation situation by adding
Few couple auxiliary, to form more preferably coupling structure.Each technical characteristic in the invention, in not conflicting conflict
Under the premise of can be with combination of interactions.
Embodiment 1, with reference to Fig. 1, a kind of storage method of industry big data, comprising:
Step 1, storage requesting party issue storage request；
Step 2, server end are using acquisition industrial equipment information in distributed sensor networks；
The industrial equipment information is divided into several sub-informations by step 3, and sub-information is individually packaged into block of information；
Step 4, creation storage address list；
Step 5, by chunk store in distributed data base, and register the storage address of each block of information；
Storage address is recorded in storage address list by step 6；
The storage address list is passed to storage requesting party by step 7.
The method of the invention, by the way that the big industrial equipment information of the scale of construction is divided into several sub-informations, and by will be sub
Information package is stored in distributed data base at block of information, is broken the whole up into parts, and distributed storage is carried out, meanwhile, it is deposited by creation
Address list is stored up, scrappy block of information is chained up, so that user can be integrated the block of information of dispersion by storage list
Come, obtains complete industrial equipment information.
This method by the way that industrial equipment information breaks the whole up into parts, effectively deposited by industrial equipment information that can be big to the scale of construction
Storage, reduces the storage pressure of single database.
With reference to Fig. 2, wherein in step 3, the industrial equipment information is divided into several sub-informations, sub-information is independent
The sub-step for being packaged into block of information includes:
Step 3.1 carries out multiclass classification by tree-shaped classification to industrial equipment information, obtains several sub-informations；
Wherein, the multiclass classification includes: the first-level class carried out with industrial scene, is carried out with the ID number of industrial equipment
Secondary classification, the three-level classification carried out with the classification of information.
Step 3.2 is linked according to the access between classified catalogue creation sub-information；
Access link is packaged into block of information together with each sub-information by step 3.3.
Wherein, the server end is specifically included: using industrial equipment information is obtained in distributed sensor networks by work
Industry equipment carries out mac function division according to function, and each mac function includes a sensor local area network, each sensing general ability
Internet is crossed by domain Netcom and cloud platform interconnects, and the server end is interconnected by internet and cloud platform, and each local area network is all provided with
There are several information collection nodes, information collection node acquires industrial equipment information.By by sensor local area network and cloud platform
Interconnection, server end and cloud platform interconnect, so that executing the cloud platform of data acquisition session and executing the clothes of data store tasks
Being engaged in, device end is separated by internet, and the two work is not interfere with each other, reliable operation Du Genggao.
Meanwhile for each information collection node, corresponding knowledge analysis library is established in cloud platform, in conjunction with artificial intelligence
Algorithm, by machine learning method, according to different industrial equipment features, industrial scene adopts information in conjunction with historical data analysis
The industrial equipment information for collecting node acquisition, is filtered, removes noise information, improve the value of information.It is big to improve entire industry
The value density of data.As optimization, the information collection node configures at least one Radio Transmission Node.
Better embodiment of the invention is illustrated above, but the invention is not limited to the implementation
Example, those skilled in the art can also make various equivalent modifications on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent variation or replacement are all included in the scope defined by the claims of the present application.
Claims (6)
1. a kind of storage method of industry big data characterized by comprising
Step 1, storage requesting party issue storage request；
Step 2, server end are using acquisition industrial equipment information in distributed sensor networks；
The industrial equipment information is divided into several sub-informations by step 3, and sub-information is individually packaged into block of information；
Step 4, creation storage address list；
Step 5, by chunk store in distributed data base, and register the storage address of each block of information；
Storage address is recorded in storage address list by step 6；
The storage address list is passed to storage requesting party by step 7.
2. a kind of storage method of industrial big data according to claim 1, which is characterized in that in step 3, will be described
Industrial equipment information is divided into several sub-informations, and the sub-step that sub-information is individually packaged into block of information includes:
Step 3.1 carries out multiclass classification by tree-shaped classification to industrial equipment information, obtains several sub-informations；
Step 3.2 is linked according to the access between classified catalogue creation sub-information；
Access link is packaged into block of information together with each sub-information by step 3.3.
3. a kind of storage method of industrial big data according to claim 2, which is characterized in that the multiclass classification packet
Include: the first-level class carried out with industrial scene is carried out with the secondary classification that the ID number of industrial equipment carries out with the classification of information
Three-level classification.
4. a kind of storage method of industrial big data according to claim 1, which is characterized in that in step 2, the clothes
Device end be engaged in using industrial equipment information is obtained in distributed sensor networks, specifically includes: industrial equipment is carried out according to function
Mac function divides, and each mac function includes a sensor local area network, and each sensor local area network passes through internet and cloud
Platform interconnection, the server end are interconnected by internet and cloud platform, and each local area network is equipped with several information collection sections
Point, information collection node acquire industrial equipment information.
5. a kind of storage method of industrial big data according to claim 4, which is characterized in that the information collection node
Configure at least one Radio Transmission Node.
6. a kind of storage method of industrial big data according to claim 4, which is characterized in that be directed to each information collection
Node establishes corresponding knowledge analysis library in cloud platform, in conjunction with intelligent algorithm, filtering noise information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810794084.9A CN109063051A (en) | 2018-07-19 | 2018-07-19 | A kind of storage method of industry big data |
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| CN201810794084.9A CN109063051A (en) | 2018-07-19 | 2018-07-19 | A kind of storage method of industry big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114817739A (en) * | 2022-05-16 | 2022-07-29 | 广东弘力控股集团有限公司 | Industrial big data processing system based on artificial intelligence algorithm |
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| CN103327052A (en) * | 2012-03-22 | 2013-09-25 | 深圳市腾讯计算机系统有限公司 | Data storage method and system and data visiting method and system |
| CN103514232A (en) * | 2012-06-29 | 2014-01-15 | 百度在线网络技术（北京）有限公司 | Web site resource management method and device |
| CN107172128A (en) * | 2017-04-24 | 2017-09-15 | 华南理工大学 | A kind of manufacturing equipment big data acquisition method of cloud auxiliary |
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2018
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020186864A1 (en) * | 2001-05-15 | 2002-12-12 | Lockheed Martin Corporation | Method and system for address result arbitration |
| CN101281529A (en) * | 2008-05-30 | 2008-10-08 | 杨洪 | Method for realizing hyperlink reading on hand-hold reading equipment |
| CN103327052A (en) * | 2012-03-22 | 2013-09-25 | 深圳市腾讯计算机系统有限公司 | Data storage method and system and data visiting method and system |
| CN103514232A (en) * | 2012-06-29 | 2014-01-15 | 百度在线网络技术（北京）有限公司 | Web site resource management method and device |
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| CN114817739A (en) * | 2022-05-16 | 2022-07-29 | 广东弘力控股集团有限公司 | Industrial big data processing system based on artificial intelligence algorithm |
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Application publication date: 20181221 |
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