CN105631634A - Cross-terminal interactive logistics big data real-time analysis system - Google Patents
Cross-terminal interactive logistics big data real-time analysis system Download PDFInfo
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- CN105631634A CN105631634A CN201510999957.6A CN201510999957A CN105631634A CN 105631634 A CN105631634 A CN 105631634A CN 201510999957 A CN201510999957 A CN 201510999957A CN 105631634 A CN105631634 A CN 105631634A
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- 238000010223 real-time analysis Methods 0.000 title claims abstract description 16
- 230000002452 interceptive effect Effects 0.000 title abstract description 6
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims description 7
- 230000031068 symbiosis, encompassing mutualism through parasitism Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 abstract description 8
- 238000013480 data collection Methods 0.000 abstract 5
- 230000002457 bidirectional effect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000000547 structure data Methods 0.000 description 1
Classifications
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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
- G06Q10/083—Shipping
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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
Abstract
The invention discloses a cross-terminal interactive logistics big data real-time analysis system. A symbiotic logistics big data intelligent decision platform includes an intelligent data collection system module and a database processing system module. The intelligent data collection system module and the database processing system module are connected through an intelligent mobile terminal. The intelligent data collection system module includes a data collection unit, a storage unit, and an analysis unit. The intelligent data collection system module is used for collecting logistics big data information, and transmitting the collected logistics data to the database processing system module through the intelligent mobile terminal. The database processing system module performs processing and analysis on the logistics big data in the intelligent collection system module. Through a bidirectional interactive logistics data analysis method, the data at a logistics terminal can be collected in real time for background data analysis, and users can initiate demands of data real-time analysis from the terminal, and perform data analysis and display according to the logistics data real-time variation.
Description
Technical field
The present invention relates to logistics management informatization technical field, it is specifically related to the big data real time analysis system of logistics that a kind of cross-terminal can be mutual.
Background technology
Along with the arriving in cloud epoch, big data (Bigdata) have also attracted more and more concerns. The analyst team of " work cloud platform " is thought, big data (Bigdata) are commonly used to describe a large amount of non-structure data and the semi-structured data of company's creation, and these data can overspending time and money when downloading to relevant database for analyzing. Big data analysis is normal and cloud computing is linked together, because real-time large data set analysis needs the framework as MapReduce to tens of, hundreds of or even thousands of computer distribution work. Big data need special technology, with the data effectively processed in a large amount of tolerance elapsed time. The technology being applicable to big data, the storage system comprising MPP (MPP) database, data mining electrical network, distributed document system, distributed database, cloud computing platform, internet and can expanding.
Intelligence decision-making platform is generally made up of interactive language system, problem system and database, model bank, method base, knowledge base management system. Intelligence decision-making platform can provide required data, information and background information for decision maker at big data age, help clear and definite decision objective and carry out the identification of problem, set up or amendment decision model, various alternatives is provided, and carry out various scheme evaluating with preferably, undertaken analyzing, compare and judging by human-computer interaction function, for correct decision-making provides necessary support. It is by a series of man-machine dialogue processes with decision maker, for decision maker provides various reliable scheme, checks the requirement of decision maker and it is contemplated that thus reaches the object supporting decision-making.
Summary of the invention
It is an object of the invention to provide the big data real time analysis system of logistics that a kind of cross-terminal can be mutual.
For achieving the above object, the present invention provides following technical scheme: the big data real time analysis system of the logistics that a kind of cross-terminal can be mutual, the big data intelligence decision-making platform of described symbiosis logistics comprises intelligent data acquisition system module and data base handling system module, being connected by intelligent mobile terminal between described intelligent data acquisition system module and data base handling system module, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit.
Preferably, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit, and wherein, the mode that storage unit adopts TMN to be combined with traditional data storehouse method of design carries out data design Storage.
Preferably, described Intelligent logistics data collecting system for gather logistics data and by the distributed data bus transmission of Intelligent logistics data to intelligent data collecting unit.
Preferably, described intelligent data acquisition system module for storing logistics data and is supplied to Intelligent data analysis unit by Intelligent logistics data bus.
Preferably, described data base handling system module comprises data attribute Administrative Unit, database model generation unit and database model running unit composition.
Preferably, described intelligent mobile terminal comprises data acquisition unit, Data Enter unit, data decoding unit, wireless data transmission unit and information print unit.
The useful effect of above technical scheme is adopted to be: the present invention discloses the big data real time analysis system of logistics that a kind of cross-terminal can be mutual, the big data intelligence decision-making platform of described symbiosis logistics comprises intelligent data acquisition system module and data base handling system module, connected by intelligent mobile terminal between described intelligent data acquisition system module and data base handling system module, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit, intelligent data acquisition system module is for gathering the big data information of logistics, and the logistics data collected is transferred to data base handling system module by intelligent mobile terminal, the big data of logistics in intelligent data acquisition system module are carried out Treatment Analysis by data base handling system module, by the logistics data analytical procedure of two-way interactive, both the data that can gather logistics terminal in real time carry out back-end data analysis, user can initiate again the demand of data real-time data analysis from terminal, data analysis and displaying is carried out according to logistics data real-time change.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of embodiments of the invention;
Fig. 2 is the schematic diagram of data base handling system module;
Fig. 3 is the schematic diagram of intelligent mobile terminal.
Embodiment
For the present invention is realized technique means, creation characteristic, reach object and effect is easy to understand, below in conjunction with embodiment, set forth the present invention further.
Embodiment:
A kind of cross-terminal can be mutual the big data real time analysis system of logistics, the big data intelligence decision-making platform of described symbiosis logistics comprises intelligent data acquisition system module and data base handling system module, being connected by intelligent mobile terminal between described intelligent data acquisition system module and data base handling system module, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit.
Described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit, and wherein, the mode that storage unit adopts TMN to be combined with traditional data storehouse method of design carries out data design Storage; Described Intelligent logistics data collecting system for gather logistics data and by the distributed data bus transmission of Intelligent logistics data to intelligent data collecting unit; Described intelligent data acquisition system module for storing logistics data and is supplied to Intelligent data analysis unit by Intelligent logistics data bus; Described data base handling system module comprises data attribute Administrative Unit, database model generation unit and database model running unit composition; Described intelligent mobile terminal comprises data acquisition unit, Data Enter unit, data decoding unit, wireless data transmission unit and information print unit.
The effect of intelligent mobile terminal is: intelligent mobile terminal comprises data acquisition unit, Data Enter unit, data decoding unit, wireless data transmission unit and information print unit, intelligent mobile terminal can multi-angle, the comprehensive big data of acquisition logistics, and the logistics data collected is transferred to data base handling system module by intelligent mobile terminal, the big data of logistics in intelligent data acquisition system module are carried out Treatment Analysis by data base handling system module.
The present invention discloses the big data real time analysis system of logistics that a kind of cross-terminal can be mutual, the big data intelligence decision-making platform of described symbiosis logistics comprises intelligent data acquisition system module and data base handling system module, connected by intelligent mobile terminal between described intelligent data acquisition system module and data base handling system module, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit, intelligent data acquisition system module is for gathering the big data information of logistics, and the logistics data collected is transferred to data base handling system module by intelligent mobile terminal, the big data of logistics in intelligent data acquisition system module are carried out Treatment Analysis by data base handling system module, by the logistics data analytical procedure of two-way interactive, both the data that can gather logistics terminal in real time carry out back-end data analysis, user can initiate again the demand of data real-time data analysis from terminal, data analysis and displaying is carried out according to logistics data real-time change.
The foregoing is only embodiments of the invention; not thereby the patent scope of the present invention is limited; every utilize specification sheets of the present invention and accompanying drawing content to do equivalent structure or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all it is included in the scope of patent protection of the present invention with reason.
Claims (6)
1. the big data real time analysis system of logistics that a cross-terminal can be mutual, the big data intelligence decision-making platform of described symbiosis logistics comprises intelligent data acquisition system module and data base handling system module, it is characterized in that, being connected by intelligent mobile terminal between described intelligent data acquisition system module and data base handling system module, described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit.
2. the big data real time analysis system of logistics that a kind of cross-terminal according to claim 1 can be mutual, it is characterized in that: described intelligent data acquisition system module comprises data acquisition unit, storage unit and analytical unit, wherein, the mode that storage unit adopts TMN to be combined with traditional data storehouse method of design carries out data design Storage.
3. the big data real time analysis system of logistics that a kind of cross-terminal according to claim 1 can be mutual, it is characterised in that: described Intelligent logistics data collecting system for gather logistics data and by the distributed data bus transmission of Intelligent logistics data to intelligent data collecting unit.
4. the big data real time analysis system of logistics that a kind of cross-terminal according to claim 1 can be mutual, it is characterised in that: described intelligent data acquisition system module for storing logistics data and is supplied to Intelligent data analysis unit by Intelligent logistics data bus.
5. the big data real time analysis system of logistics that a kind of cross-terminal of 1 can be mutual according to claim, it is characterised in that: described data base handling system module comprises data attribute Administrative Unit, database model generation unit and database model running unit composition.
6. the big data real time analysis system of logistics that a kind of cross-terminal according to claim 1 can be mutual, it is characterised in that: described intelligent mobile terminal comprises data acquisition unit, Data Enter unit, data decoding unit, wireless data transmission unit and information print unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510999957.6A CN105631634A (en) | 2015-12-25 | 2015-12-25 | Cross-terminal interactive logistics big data real-time analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510999957.6A CN105631634A (en) | 2015-12-25 | 2015-12-25 | Cross-terminal interactive logistics big data real-time analysis system |
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| CN105631634A true CN105631634A (en) | 2016-06-01 |
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| CN201510999957.6A Pending CN105631634A (en) | 2015-12-25 | 2015-12-25 | Cross-terminal interactive logistics big data real-time analysis system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108263309A (en) * | 2017-12-28 | 2018-07-10 | 广州俪蔓婷信息科技有限公司 | One kind is based on big data analysis logistics vehicle control |
| CN110781250A (en) * | 2019-10-23 | 2020-02-11 | 陕西华筑科技有限公司 | BI decision management system and method based on big data |
| CN113282636A (en) * | 2021-04-13 | 2021-08-20 | 武汉天梯科技股份有限公司 | Intelligent hardware system for intelligently acquiring offline big data |
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| CN101977210A (en) * | 2010-10-09 | 2011-02-16 | 厦门雅迅网络股份有限公司 | Wireless-network-based logistics information interactive mode between handheld terminal and handheld remote end |
| CN102360463A (en) * | 2011-10-09 | 2012-02-22 | 无锡恺易物联网科技发展有限公司 | Logistic information real-time management method and system |
| CN102651104A (en) * | 2011-02-25 | 2012-08-29 | 上海飞力达国际物流有限公司 | Digital logistics tracking module real-time information collecting system |
| CN104200343A (en) * | 2014-08-06 | 2014-12-10 | 深圳市锦雅电子数码科技有限公司 | Physical distribution management system based on intelligent mobile terminal |
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2015
- 2015-12-25 CN CN201510999957.6A patent/CN105631634A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101977210A (en) * | 2010-10-09 | 2011-02-16 | 厦门雅迅网络股份有限公司 | Wireless-network-based logistics information interactive mode between handheld terminal and handheld remote end |
| CN102651104A (en) * | 2011-02-25 | 2012-08-29 | 上海飞力达国际物流有限公司 | Digital logistics tracking module real-time information collecting system |
| CN102360463A (en) * | 2011-10-09 | 2012-02-22 | 无锡恺易物联网科技发展有限公司 | Logistic information real-time management method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108263309A (en) * | 2017-12-28 | 2018-07-10 | 广州俪蔓婷信息科技有限公司 | One kind is based on big data analysis logistics vehicle control |
| CN110781250A (en) * | 2019-10-23 | 2020-02-11 | 陕西华筑科技有限公司 | BI decision management system and method based on big data |
| CN113282636A (en) * | 2021-04-13 | 2021-08-20 | 武汉天梯科技股份有限公司 | Intelligent hardware system for intelligently acquiring offline big data |
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Application publication date: 20160601 |