CN110188088A - A kind of marine ships adopt sand behavior big data model - Google Patents
A kind of marine ships adopt sand behavior big data model Download PDFInfo
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- CN110188088A CN110188088A CN201910434304.1A CN201910434304A CN110188088A CN 110188088 A CN110188088 A CN 110188088A CN 201910434304 A CN201910434304 A CN 201910434304A CN 110188088 A CN110188088 A CN 110188088A
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- 238000013499 data model Methods 0.000 title claims abstract description 47
- 239000004576 sand Substances 0.000 title claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 22
- 238000003860 storage Methods 0.000 claims abstract description 22
- 230000003542 behavioural effect Effects 0.000 claims abstract description 19
- 238000013506 data mapping Methods 0.000 claims abstract description 14
- 239000007787 solid Substances 0.000 claims abstract description 14
- 238000009826 distribution Methods 0.000 claims abstract description 12
- 238000007689 inspection Methods 0.000 claims abstract description 9
- 230000010354 integration Effects 0.000 claims abstract description 8
- 230000007246 mechanism Effects 0.000 claims abstract description 8
- 238000012423 maintenance Methods 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 18
- 230000008569 process Effects 0.000 claims description 12
- 238000012545 processing Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 241001269238 Data Species 0.000 description 5
- 238000012790 confirmation Methods 0.000 description 5
- 238000009412 basement excavation Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000013590 bulk material Substances 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 239000003643 water by type Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
- G06F16/212—Schema design and management with details for data modelling support
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
Abstract
The invention discloses a kind of marine ships to adopt sand behavior big data model, the data model includes: data acquisition, master data modeling, monitoring and analysis, master data is shared and master data is safeguarded, the data acquisition includes: behavioral data acquisition, service data acquisition, the data acquisition further includes Beidou positioning and identification, the master data modeling includes: solid modelling, storage modeling, interface modeling, coding modeling and template modeling, the monitoring and analysis include: Data Integration, data mapping and data inspection, the data model further includes that master data is shared, it includes: distribution mechanisms and distribution policy that the master data is shared.In the present invention, establishing for big data model is easy to operate, while accuracy is high, when carrying out the operation such as safeguarding, is operated according to modeling, so that efficiency improves, further facilitates use.
Description
Technical field
The invention belongs to ships to adopt husky technical field, and specially a kind of marine ships adopt sand behavior big data model.
Background technique
Sand dredger is the floating type selecting combined unit of placer or bulk material under a kind of production of water.It is flat using being mounted on
The digging mechanism digging ore in sand form of bottom fore, and it is promoted to the feed bin on ship, after the granular of circle letter sieve, washing, classification, contain under sieve
The fine gravity flow of mine enters roughing chute or jigging machine roughing, and tailing is mined out after tailing chute or sand pump row are in stern
Area, tailing heap of the barren rock that circle letter is sieved after rubber conveyer or gravel chute are arranged in stern.
Sand dredger excavation method refers to excavation sequence of the sand dredger on working face, and also referred to as stoping method, excavation method can be divided into
Two class of method is excavated in slicing method and slotting.Sand dredger is in working face layer-by-layer back production from top to bottom, until bottom plate.Ship moves forward one
Step pitch, and slicing from top to bottom.Its advantage is that the lift height of excavation, easily controllable full bucket can be adjusted according to native lithology matter
Coefficient.Uniformly it is conducive to stablize recovery rate in ore-dressing for mine, the Tu Yan hoisting depth that is averaged is small, easily operated management.
Summary of the invention
It is an object of the invention to: a kind of marine ships are provided and adopt sand behavior big data model.
The technical solution adopted by the invention is as follows:
A kind of marine ships adopt sand behavior big data model, and the data model includes: data acquisition, master data modeling, monitoring
It is shared with analysis, master data and master data is safeguarded.
Wherein, the data acquisition includes: behavioral data acquisition, service data acquisition.
Wherein, the data acquisition further includes Beidou positioning and identification.
Wherein, the master data modeling includes: that solid modelling, storage modeling, interface modeling, coding modeling and template are built
Mould.
Wherein, the monitoring and analysis include: Data Integration, data mapping and data inspection.
Wherein, the data model further includes that master data is shared.
Wherein, it includes: distribution mechanisms and distribution policy that the master data is shared.
Wherein, the master data maintenance includes: basic maintenance, duplicate removal merging, data permission, edition data and examination & approval stream
Journey.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, it in the present invention, is positioned by setting Beidou and identification system, marine ships can be carried out with positioning and remote
The identification of journey identity, avoiding ship from adopting, sand enters other country territorial waters and foreign ship is included into data acquisition, causes data inaccurate
True situation occurs.
2, in the present invention, master data is subjected to various modeling, the number for establishing master data encodes and it operates template,
It is more quick when progress digital simulation, and easedization is operated, it is more convenient to use.
3, in the present invention, by the way that data mapping is added in master data, element pass will be established between associated data information
System automatically extracts associated data, more convenient understanding when extracting required master data.
4, in the present invention, establishing for big data model is easy to operate, while accuracy is high, when carrying out the operation such as safeguarding,
It is operated according to modeling, so that efficiency improves, further facilitates use.
Detailed description of the invention
Fig. 1 is modularization block diagram of the invention；
Fig. 2 is the modularization block diagram of data acquisition in the present invention；
Fig. 3 is the modularization block diagram of master data modeling in the present invention；
Fig. 4 is the modularization block diagram of monitoring and analysis in the present invention；
Fig. 5 is the modularization block diagram that master data is shared in the present invention；
Fig. 6 is the modularization block diagram of master data maintenance in the present invention.
Marked in the figure: 1, data model；10, data acquire；20, master data models；30, monitoring and analysis；40, master data
It is shared；50, master data is safeguarded；110, behavioral data acquires；120, service data acquisition；130, Beidou positions；140, identity is known
Not；210, solid modelling；220 storage modelings；230, interface models；240, coding modeling；250, template models；310, data are whole
It closes；320, data map；330, data inspection；410, distribution mechanisms；420, distribution policy；510, basic maintenance；520, duplicate removal
Merge；530, data permission；540, versions of data；550, approval process.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
Embodiment one, please refers to Fig. 1~4 and 6, and a kind of marine ships adopt sand behavior big data model, the data model 1
It include: data acquisition 10, master data modeling 20, monitoring and analysis 30 and master data maintenance 50；The data acquisition 10 is used to adopt
Collect initial source data, is provided for big data model and establish authority；The master data modeling 20 is used to be directed to collected source number
According to progress preliminary treatment；The monitoring is used for processing and sorting source data with analysis 30, provides the data of complete display for big data
Source；The master data maintenance 50 is used to safeguard big data model and be updated and the stock management of new data.
The data acquisition 10 includes: that behavioral data acquires 110, service data acquisition 120；The behavioral data acquisition
110 adopt husky behavioral data for acquire ship；The service data acquisition 120 steams husky amount consumption and an order for obtaining
Sha Liang.
The master data modeling 20 includes: solid modelling 210 and storage modeling 220；The solid modelling 210 is master data
Analysis entities modeling；The storage modeling 220 is used to store master data.
The monitoring includes: that Data Integration 310, data mapping 320 and data check 330 with analysis 30；The data are whole
310 are closed for integrating all master datas, to facilitate analysis to monitor；The data mapping 320 between data for establishing element pass
System；The data inspection 330 is used to check the integrality and reasonability of data.
The master data maintenance 50 includes: basic maintenance 510 and approval process 550；The basic maintenance 510 includes confirmation
The information such as safe, complete of data；The approval process 550 is used to examine new storage data.
Embodiment two, please refers to Fig. 1~4 and 6, and a kind of marine ships adopt sand behavior big data model, the data model 1
It include: data acquisition 10, master data modeling 20, monitoring and analysis 30 and master data maintenance 50；The data acquisition 10 is used to adopt
Collect initial source data, is provided for big data model and establish authority；The master data modeling 20 is used to be directed to collected source number
According to progress preliminary treatment；The monitoring is used for processing and sorting source data with analysis 30, provides the data of complete display for big data
Source；The master data maintenance 50 is used to safeguard big data model and be updated and the stock management of new data.
The data acquisition 10 includes: behavioral data acquisition 110, service data acquisition 120, Beidou positioning 130 and identity
Identification 140；Behavioral data acquisition 110 adopts husky behavioral data for acquire ship；The service data acquisition 120 is used for
It obtains and steams husky amount consumption and an order sand amount；The Beidou positioning 130 is used to position the geographical location of ship；The identity is known
The identity of other 140 ships for identification, including nationality's information.
The master data modeling 20 includes: solid modelling 210 and storage modeling 220；The solid modelling 210 is master data
Analysis entities modeling；The storage modeling 220 is used to store master data.
The monitoring includes: that Data Integration 310, data mapping 320 and data check 330 with analysis 30；The data are whole
310 are closed for integrating all master datas, to facilitate analysis to monitor；The data mapping 320 between data for establishing element pass
System；The data inspection 330 is used to check the integrality and reasonability of data.
The master data maintenance 50 includes: basic maintenance 510 and approval process 550；The basic maintenance 510 includes confirmation
The information such as safe, complete of data；The approval process 550 is used to examine new storage data.
Embodiment three, please refers to Fig. 1~4 and 6, and a kind of marine ships adopt sand behavior big data model, the data model 1
It include: data acquisition 10, master data modeling 20, monitoring and analysis 30 and master data maintenance 50；The data acquisition 10 is used to adopt
Collect initial source data, is provided for big data model and establish authority；The master data modeling 20 is used to be directed to collected source number
According to progress preliminary treatment；The monitoring is used for processing and sorting source data with analysis 30, provides the data of complete display for big data
Source；The master data maintenance 50 is used to safeguard big data model and be updated and the stock management of new data.
The data acquisition 10 includes: behavioral data acquisition 110, service data acquisition 120, Beidou positioning 130 and identity
Identification 140；Behavioral data acquisition 110 adopts husky behavioral data for acquire ship；The service data acquisition 120 is used for
It obtains and steams husky amount consumption and an order sand amount；The Beidou positioning 130 is used to position the geographical location of ship；The identity is known
The identity of other 140 ships for identification, including nationality's information.
The master data modeling 20 includes: solid modelling 210, storage modeling 220, interface modeling 230, coding modeling 240
With template modeling 250；The solid modelling 210 is that the analysis entities of master data model；The storage modeling 220 is used to store master
Data；The interface modeling 230 is for establishing the operation interfaces such as analysis, processing and result；The coding modeling 240 is used to lead
Data carry out Unified coding, to facilitate storage and look for；The template modeling 250 is used to establish template.
The monitoring includes: that Data Integration 310, data mapping 320 and data check 330 with analysis 30；The data are whole
310 are closed for integrating all master datas, to facilitate analysis to monitor；The data mapping 320 between data for establishing element pass
System；The data inspection 330 is used to check the integrality and reasonability of data.
The master data maintenance 50 includes: basic maintenance 510 and approval process 550；The basic maintenance 510 includes confirmation
The information such as safe, complete of data；The approval process 550 is used to examine new storage data.
Example IV, please refers to Fig. 1~6, and a kind of marine ships adopt sand behavior big data model, and the data model 1 wraps
It includes: data acquisition 10, master data modeling 20, monitoring and analysis 30, master data shared 40 and master data maintenance 50；The data are adopted
Collection 10 provides for big data model for acquiring initial source data and establishes authority；The master data modeling 20 is adopted for being directed to
The source data collected carries out preliminary treatment；The monitoring is used for processing and sorting source data with analysis 30, provides clearly for big data
Complete data source；The master data shared 40 obtains network while contributing data for connecting with network big data
Data；The master data maintenance 50 is used to safeguard big data model and be updated and the stock management of new data.
The data acquisition 10 includes: behavioral data acquisition 110, service data acquisition 120, Beidou positioning 130 and identity
Identification 140；Behavioral data acquisition 110 adopts husky behavioral data for acquire ship；The service data acquisition 120 is used for
It obtains and steams husky amount consumption and an order sand amount；The Beidou positioning 130 is used to position the geographical location of ship；The identity is known
The identity of other 140 ships for identification, including nationality's information.
The master data modeling 20 includes: solid modelling 210, storage modeling 220, interface modeling 230, coding modeling 240
With template modeling 250；The solid modelling 210 is that the analysis entities of master data model；The storage modeling 220 is used to store master
Data；The interface modeling 230 is for establishing the operation interfaces such as analysis, processing and result；The coding modeling 240 is used to lead
Data carry out Unified coding, to facilitate storage and look for；The template modeling 250 is used to establish template.
The monitoring includes: that Data Integration 310, data mapping 320 and data check 330 with analysis 30；The data are whole
310 are closed for integrating all master datas, to facilitate analysis to monitor；The data mapping 320 between data for establishing element pass
System；The data inspection 330 is used to check the integrality and reasonability of data.
The master data maintenance 50 includes: basic maintenance 510, duplicate removal merging 520, data permission 530, edition data 540
With approval process 550；The basic maintenance 510 includes the information such as safe, complete of confirmation data；The duplicate removal merges 520 and uses
It is merged in by duplicate master data；The data permission 530 is for assigning different access permissions to different data；Institute
Edition data 540 is stated for showing the version information of master data；The approval process 550 is used to examine new storage data
Batch.
Embodiment five, please refers to Fig. 1~6, and a kind of marine ships adopt sand behavior big data model, and the data model 1 wraps
It includes: data acquisition 10, master data modeling 20, monitoring and analysis 30, master data shared 40 and master data maintenance 50；The data are adopted
Collection 10 provides for big data model for acquiring initial source data and establishes authority；The master data modeling 20 is adopted for being directed to
The source data collected carries out preliminary treatment；The monitoring is used for processing and sorting source data with analysis 30, provides clearly for big data
Complete data source；The master data shared 40 obtains network while contributing data for connecting with network big data
Data；The master data maintenance 50 is used to safeguard big data model and be updated and the stock management of new data.
The data acquisition 10 includes: behavioral data acquisition 110, service data acquisition 120, Beidou positioning 130 and identity
Identification 140；Behavioral data acquisition 110 adopts husky behavioral data for acquire ship；The service data acquisition 120 is used for
It obtains and steams husky amount consumption and an order sand amount；The Beidou positioning 130 is used to position the geographical location of ship；The identity is known
The identity of other 140 ships for identification, including nationality's information.
The master data modeling 20 includes: solid modelling 210, storage modeling 220, interface modeling 230, coding modeling 240
With template modeling 250；The solid modelling 210 is that the analysis entities of master data model；The storage modeling 220 is used to store master
Data；The interface modeling 230 is for establishing the operation interfaces such as analysis, processing and result；The coding modeling 240 is used to lead
Data carry out Unified coding, to facilitate storage and look for；The template modeling 250 is used to establish template.
The monitoring includes: that Data Integration 310, data mapping 320 and data check 330 with analysis 30；The data are whole
310 are closed for integrating all master datas, to facilitate analysis to monitor；The data mapping 320 between data for establishing element pass
System；The data inspection 330 is used to check the integrality and reasonability of data.
The master data shared 40 includes: distribution mechanisms 410 and distribution policy 420；The distribution mechanisms 410 are for establishing
The shared mechanism of master data；The distribution policy 420 is used to confirm the strategy that master data is shared.
The master data maintenance 50 includes: basic maintenance 510, duplicate removal merging 520, data permission 530, edition data 540
With approval process 550；The basic maintenance 510 includes the information such as safe, complete of confirmation data；The duplicate removal merges 520 and uses
It is merged in by duplicate master data；The data permission 530 is for assigning different access permissions to different data；Institute
Edition data 540 is stated for showing the version information of master data；The approval process 550 is used to examine new storage data
Batch.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. a kind of marine ships adopt sand behavior big data model, which is characterized in that the data model (1) includes: data acquisition
(10), master data modeling (20), monitoring and analysis (30), master data share (40) and master data maintenance (50).
2. a kind of marine ships as described in claim 1 adopt sand behavior big data model, which is characterized in that the data acquisition
It (10) include: behavioral data acquisition (110), service data acquisition (120).
3. a kind of marine ships as claimed in claim 2 adopt sand behavior big data model, which is characterized in that the data acquisition
It (10) further include Beidou positioning (130) and identification (140).
4. a kind of marine ships as described in claim 1 adopt sand behavior big data model, which is characterized in that the master data is built
Mould (20) includes: solid modelling (210), storage modeling (220), interface modeling (230), coding modeling (240) and template modeling
(250).
5. a kind of marine ships as described in claim 1 adopt sand behavior big data model, which is characterized in that described to monitor and divide
Analysis (30) includes: Data Integration (310), data mapping (320) and data inspection (330).
6. a kind of marine ships as described in claim 1 adopt sand behavior big data model, which is characterized in that the data model
It (1) further include that master data shares (40).
7. a kind of marine ships as claimed in claim 6 adopt sand behavior big data model, which is characterized in that the master data is total
Enjoying (40) includes: distribution mechanisms (410) and distribution policy (420).
8. a kind of marine ships as described in claim 1~7 is any adopt sand behavior big data model, which is characterized in that described
Master data maintenance (50) include: basic maintenance (510), duplicate removal merge (520), data permission (530), edition data (540) and
Approval process (550).
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