CN106600185A - Warehouse logistics data sharing platform - Google Patents
Warehouse logistics data sharing platform Download PDFInfo
- Publication number
- CN106600185A CN106600185A CN201611050181.4A CN201611050181A CN106600185A CN 106600185 A CN106600185 A CN 106600185A CN 201611050181 A CN201611050181 A CN 201611050181A CN 106600185 A CN106600185 A CN 106600185A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- management server
- portal server
- business datum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 claims abstract description 50
- 238000013506 data mapping Methods 0.000 claims abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000010835 comparative analysis Methods 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 3
- 238000009966 trimming Methods 0.000 abstract 2
- 230000001105 regulatory effect Effects 0.000 abstract 1
- 239000000203 mixture Substances 0.000 description 9
- 230000006872 improvement Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Abstract
The invention relates to a warehouse logistics data sharing platform comprising a management server and a plurality of portal servers, wherein the management server comprises a permission configuration module, a data storage module, a data mapping module, a data calling module, an information trimming module and a task allocation module; and each portal server accesses a data platform of the management server, the management server obtains the business data of each portal server, configures the business data accessed for the first time through permission configuration, maps the business data to the corresponding data through the data mapping module, calls the corresponding data through the data calling module, compares and analyzes the business data through the information trimming module, regulates a reasonable data exchange standard and flow for the business data and finally allocates the regulated data exchange standard and flow through the task allocation module so as to share logistics big data. The warehouse logistics data sharing platform provided by the invention can effectively realize the big data sharing of warehouse logistics and has fast processing and auxiliary decision making functions.
Description
Technical field
The invention belongs to big data application, and in particular to a kind of warehouse logisticses big data shared platform.
Background technology
Logistics management information system is by personnel, computer hardware, software, network communication equipment and other office equipment groups
Into man-machine interactive system, its major function is to carry out the collection of logistics information, storage, transmission, processing and sorting, maintenance and defeated
Go out, provide strategy, tactics for logistics management person and other organization and administration personnel and operate the support of decision-making, to reach the war of tissue
It is slightly competing excellent, improve the efficiency and benefit of Logistics Operation.Logistics Information System is carried out in modern resources-flow enterprises business activity
On the basis of investigation, analysis, according to systematized design principle, integrated use Management of Modern Physical Distribution theory and logistics information technique
The system of the man-machine interaction of the materials circulation information management developed, it has quick processing information and decision-making function.
For warehouse logisticses management, effectively implement big data application, enterprise may be greatly promoted and improve business
Industry pattern, form new Value Idea, and this also exactly the strategic importance of big data is located.So-called big data application, refers to
Electronic information is collected from multiple channel and applied analysis is carried out, so as to recognize development model, trend and other intelligent information.This
Kind analysis may help Corporate Identity, and those have occurred and that but are difficult the information being noticeable, it is also possible to help business forcast not
Carry out situation about will occur.
At present, existing a large amount of enterprises are still faced with data and do not lack, and simply do not understand how the problem analyzed and apply.Cross
Go, by it is daily, weekly or monthly in units of model or data are analyzed it is sufficient that.But now, enterprise is if it is desired to avoid
Postpone the generation of the phenomenons such as delivery, must just carry out real-time or almost data analysis in real time.So, just to stored goods
Flow management brings greatly inconvenient.
In consideration of it, proposing a kind of problem to be studied of the warehouse logisticses big data shared platform present invention.
The content of the invention
For the problems referred to above, it is an object of the invention to provide a kind of warehouse logisticses big data shared platform, it is intended to solve
Simply the data in warehouse logisticses are acquired and are stored in prior art, miscellaneous service data are relatively independent, each other
Problem that is effectively shared and exchanging cannot be realized.
To achieve these goals, the present invention is employed the following technical solutions：A kind of warehouse logisticses big data shared platform, institute
Big data shared platform is stated including management server and multiple portal servers, the plurality of portal server takes respectively with management
Business device accesses connection；The management server includes that permission configuration module, data memory module, data mapping module, data are adjusted
With module, finish message module and task allocating module；The portal server include at least the first portal server, second
Portal server and the 3rd portal server, at least the first portal server, the second portal server and the 3rd door
Server is arranged in parallel；
In in working order, one of at least the first portal server, the second portal server, the 3rd portal server,
Arbitrarily both or arbitrarily three the like combination portal server by corresponding respective access point access-in management service
The data platform of device, the management server obtains the business datum that each portal server is accessed, by authority configuration to head
The business datum of secondary access is configured, and then data mapping module finds corresponding data in data memory module, then profit
The corresponding data in data memory module are called with data call module, by finish message module comparative analysis data storage
The corresponding data and the business datum obtained from access point in module, and the business datum of the access is carried out to formulate rational
Data exchange standard and flow process, finally for the business datum, the data exchange standard formulated and flow process are distributed by task
Module completes distribution, so as to realize data exchange to complete the shared of logistics big data.
As a further improvement on the present invention, the management server also includes data maintenance module, for management clothes
Various types of data in business device in data memory module carries out real-time servicing.
As a further improvement on the present invention, the management server also includes real time data inspecting module, for pipe
Various types of data in reason server in data memory module carries out monitor in real time.
As a further improvement on the present invention, the management server also includes timing data monitoring module, for pipe
Various types of data in reason server in data memory module is timed monitoring.
As a further improvement on the present invention, the portal server include data Registration Module, data inquiry module with
And data match module, for being marked to the business datum for accessing first, the business datum of all accesses is inquired about,
And pairing is entered to the business datum after inquiry.
As a further improvement on the present invention, described data Registration Module carries out warehouse-in registration using scanner barcode scanning.
As a further improvement on the present invention, when needing to inquire about a business datum, data are carried out by barcode scanning
Upload, then again matched all business datums in data memory module and the business datum.
As a further improvement on the present invention, report generation module is also included in the management server, for business
All stages of data generate state report.
Operation principle of the present invention and effect are as follows：
The present invention relates to a kind of warehouse logisticses big data shared platform, including management server and multiple portal servers, pipe
Reason server includes permission configuration module, data memory module, data mapping module, data call module, finish message module
And task allocating module；The data platform of each portal server access-in management server, management server obtains each portal service
The business datum that device is accessed, is configured by authority configuration to the business datum for accessing first, is reflected by data mapping module
The corresponding data are mapped to, recycle data call module to call the corresponding data, by finish message module comparative analysis
The business datum, and the business datum is carried out to formulate rational data exchange standard and flow process, finally the data formulated are handed over
Dehorn is accurate and flow process completes distribution by task allocating module, realizes the shared of logistics big data.The present invention can be realized effectively
Big data in warehouse logisticses is shared, and processes and decision-making function with quick.
Description of the drawings
Accompanying drawing described here is only used for task of explanation, and is not intended to by any way limit model disclosed in the present application
Enclose.In addition, shape and proportional sizes of each part in figure etc. are only schematic, the understanding to the application is used to help, and
It is not the shape and proportional sizes for specifically limiting each part of the application.Those skilled in the art, can under teachings of the present application
To select various possible shapes and proportional sizes to implement the application as the case may be.In the accompanying drawings：
Accompanying drawing 1 is the structural representation of the regulation platform of the embodiment of the present invention.
Specific embodiment
Example below will be further illustrated the present invention.These embodiments are merely to illustrate the present invention, but not appointing
Where formula limits the present invention.
Embodiment：A kind of warehouse logisticses big data shared platform
Referring to accompanying drawing 1, the big data shared platform includes management server 1 and multiple portal servers, the plurality of door
Server accesses with management server 1 be connected respectively；The management server 1 includes permission configuration module 10, data storage mould
Block 11, data mapping module 12, data call module 13, finish message module 14 and task allocating module 15；The door
Server include at least the first portal server 2, the second portal server 3 and the 3rd portal server 4, this at least first
Family server 2, the second portal server 3 and the 3rd portal server 4 are arranged in parallel.
In in working order, at least the first portal server 2, the second portal server 3, the 3rd portal server 4
One of, arbitrarily both or arbitrarily three the like the portal server of combination pass through corresponding respective access point access tube
The data platform of reason server 1, the management server 1 obtains the business datum that each portal server is accessed, by authority
Configure the business datum to accessing first to configure, then data mapping module 12 finds correspondence in data memory module 11
Data, recycle data call module 13 to call the corresponding data in data memory module 11, by finish message module
The corresponding data and the business datum obtained from access point in 14 comparative analysis data memory modules 11, and to the industry of the access
Business data carry out formulating rational data exchange standard and flow process, finally for the business datum, the data exchange mark that will be formulated
Accurate and flow process completes distribution by task allocating module 15, so as to realize data exchange to complete the shared of logistics big data.
Further, the management server 1 also includes data maintenance module, for depositing to data in management server 1
Various types of data in storage module 11 carries out real-time servicing.
Further, the management server 1 also includes real time data inspecting module, for number in management server 1
Monitor in real time is carried out according to the Various types of data in memory module 11.
Further, the management server 1 also includes timing data monitoring module, for number in management server 1
Monitoring is timed according to the Various types of data in memory module 11.
Further, the portal server includes data Registration Module, data inquiry module and data match module,
For being marked to the business datum for accessing first, the business datum of all accesses is inquired about, and to the industry after inquiry
Business data enter pairing.
Further, described data Registration Module carries out warehouse-in registration using scanner barcode scanning.
Further, when needing to inquire about a business datum, data upload is carried out by barcode scanning, then again by number
All business datums according to memory module 11 are matched with the business datum.
Further, report generation module is also included in the management server 1, for all stages to business datum
Generate state report.
The present invention relates to a kind of warehouse logisticses big data shared platform, including management server 1 and multiple portal services
Device, management server 1 includes permission configuration module 10, data memory module 11, data mapping module 12, data call module
13rd, finish message module 14 and task allocating module 15；The data platform of each portal server access-in management server 1, management
Server 1 obtains the business datum that each portal server is accessed, and the business datum for accessing first is matched somebody with somebody by authority configuration
Put, the corresponding data be mapped to by data mapping module 12, recycle data call module 13 to call the corresponding data,
By the comparative analysis of finish message module 14 business datum, and the business datum is carried out to formulate rational data exchange standard
And flow process, finally the data exchange standard and flow process of formulation are completed into distribution by task allocating module 15, realize the big number of logistics
According to it is shared.The present invention can effectively realize that the big data in warehouse logisticses is shared, and process and decision-making function with quick.
It should be noted that in the description of the present application, unless otherwise stated, " multiple " be meant that two or two with
On.
The combination of element here, composition, part or step is described using term "comprising" or " including " it is also contemplated that
The basic embodiment being made up of these elements, composition, part or step.Here by using term " can with ", it is intended to illustrate
Described any attribute that " can with " includes all is optional.
Multiple element, composition, part or step can be provided by single integrated component, composition, part or step.Alternative
Ground, single integrated component, composition, part or step can be divided into detached multiple element, composition, part or step.It is used for
The open "a" or "an" of description element, composition, part or step is not said to exclude other elements, composition, part
Or step.
It should be understood that above description is to illustrate rather than to be limited.By reading above-mentioned retouching
State, many embodiments and many applications outside the example for being provided all will be for a person skilled in the art aobvious and easy
See.Therefore, the scope of this teaching should not determine with reference to foregoing description, but should with reference to aforementioned claim and this
The four corner of the equivalent that a little claims are possessed is determining.It is for comprehensive purpose, all articles and special with reference to including
The disclosure of profit application and bulletin is all by reference to being incorporated herein.Theme disclosed herein is omitted in aforementioned claim
Any aspect is not intended to abandon the body matter, also should not be considered as applicant the theme is not thought of as it is disclosed
A part for application theme.
The a series of detailed description of those listed above is only for the feasibility embodiment of the application specifically
Bright, they simultaneously are not used to limit the protection domain of the application, all equivalent implementations made without departing from the application skill spirit
Or change should be included within the protection domain of the application.
Claims (8)
1. a kind of warehouse logisticses big data shared platform, it is characterised in that：The big data shared platform includes management server
And multiple portal servers, the plurality of portal server respectively with management server access be connected；The management server bag
Include permission configuration module, data memory module, data mapping module, data call module, finish message module and task point
With module；The portal server includes at least the first portal server, the second portal server and the 3rd portal server,
At least the first portal server, the second portal server and the 3rd portal server are arranged in parallel；
In in working order, one of at least the first portal server, the second portal server, the 3rd portal server,
Arbitrarily both or arbitrarily three the like combination portal server by corresponding respective access point access-in management service
The data platform of device, the management server obtains the business datum that each portal server is accessed, by authority configuration to head
The business datum of secondary access is configured, and then data mapping module is mapped to corresponding data in data memory module, then profit
The corresponding data in data memory module are called with data call module, by finish message module comparative analysis data storage
The corresponding data and the business datum obtained from access point in module, and the business datum of the access is carried out to formulate rational
Data exchange standard and flow process, finally for the business datum, the data exchange standard formulated and flow process are distributed by task
Module completes distribution, so as to realize data exchange to complete the shared of logistics big data.
2. warehouse logisticses big data shared platform according to claim 1, it is characterised in that：The management server is also wrapped
Data maintenance module is included, for carrying out real-time servicing to the Various types of data in data memory module in management server.
3. warehouse logisticses big data shared platform according to claim 1 and 2, it is characterised in that：The management server
Also include real time data inspecting module, for being supervised in real time to the Various types of data in data memory module in management server
Control.
4. warehouse logisticses big data shared platform according to claim 3, it is characterised in that：The management server is also wrapped
Timing data monitoring module is included, for being timed monitoring to the Various types of data in data memory module in management server.
5. warehouse logisticses big data shared platform according to claim 1, it is characterised in that：The portal server includes
Data Registration Module, data inquiry module and data match module, it is right for being marked to the business datum for accessing first
The business datum of all accesses is inquired about, and enters pairing to the business datum after inquiry.
6. warehouse logisticses big data shared platform according to claim 5, it is characterised in that：Described data Registration Module
Warehouse-in registration is carried out using scanner barcode scanning.
7. warehouse logisticses big data shared platform according to claim 1, it is characterised in that：When needing to a business datum
When being inquired about, data upload is carried out by barcode scanning, then again by all business datums in data memory module and the business
Data are matched.
8. warehouse logisticses big data shared platform according to claim 1, it is characterised in that：In the management server also
Including report generation module, for generating state report to all stages of business datum.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611050181.4A CN106600185A (en) | 2016-11-25 | 2016-11-25 | Warehouse logistics data sharing platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611050181.4A CN106600185A (en) | 2016-11-25 | 2016-11-25 | Warehouse logistics data sharing platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106600185A true CN106600185A (en) | 2017-04-26 |
Family
ID=58593171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611050181.4A Pending CN106600185A (en) | 2016-11-25 | 2016-11-25 | Warehouse logistics data sharing platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106600185A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428205A (en) * | 2019-08-05 | 2019-11-08 | 西安外事学院 | A kind of warehouse logistics big data shared platform |
| CN115860641A (en) * | 2023-01-10 | 2023-03-28 | 广州宇浪软件科技有限公司 | Logistics storage management method and system based on information sharing |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369050A (en) * | 2013-07-22 | 2013-10-23 | 昆明能讯科技有限责任公司 | Data sharing system |
| CN105225190A (en) * | 2015-09-30 | 2016-01-06 | 上海安技智能科技股份有限公司 | The large data sharing platform of a kind of warehouse logistics |
| CN105574698A (en) * | 2015-12-28 | 2016-05-11 | 郑州航空工业管理学院 | Intelligent storage management system based on big data |
| CN105631764A (en) * | 2015-12-31 | 2016-06-01 | 国网电力科学研究院武汉南瑞有限责任公司 | Smart power grid big data application system orienting smart city |
| CN105631633A (en) * | 2015-12-25 | 2016-06-01 | 芜湖众创物流投资中心（有限合伙） | Cross-terminal logistics data collection and intelligent statistical system |
-
2016
- 2016-11-25 CN CN201611050181.4A patent/CN106600185A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369050A (en) * | 2013-07-22 | 2013-10-23 | 昆明能讯科技有限责任公司 | Data sharing system |
| CN105225190A (en) * | 2015-09-30 | 2016-01-06 | 上海安技智能科技股份有限公司 | The large data sharing platform of a kind of warehouse logistics |
| CN105631633A (en) * | 2015-12-25 | 2016-06-01 | 芜湖众创物流投资中心（有限合伙） | Cross-terminal logistics data collection and intelligent statistical system |
| CN105574698A (en) * | 2015-12-28 | 2016-05-11 | 郑州航空工业管理学院 | Intelligent storage management system based on big data |
| CN105631764A (en) * | 2015-12-31 | 2016-06-01 | 国网电力科学研究院武汉南瑞有限责任公司 | Smart power grid big data application system orienting smart city |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428205A (en) * | 2019-08-05 | 2019-11-08 | 西安外事学院 | A kind of warehouse logistics big data shared platform |
| CN115860641A (en) * | 2023-01-10 | 2023-03-28 | 广州宇浪软件科技有限公司 | Logistics storage management method and system based on information sharing |
| CN115860641B (en) * | 2023-01-10 | 2023-07-21 | 广州宇浪软件科技有限公司 | Logistics storage management method and system based on information sharing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Game theory based real‐time shop floor scheduling strategy and method for cloud manufacturing | |
| CN107516282A (en) | Three look into the Land Change Survey information management system of unification | |
| CN107256443A (en) | Line loss real-time computing technique based on business and data integration | |
| CN103778066B (en) | Data processing method and device | |
| CN101908165A (en) | Geographic information system (GIS)-based industrial cluster information integration service system and method | |
| CN101815003A (en) | Uniform resource model of full service converged network | |
| CN102646224A (en) | Management integrating system of enterprise standardization | |
| CN107330580A (en) | Power marketing Base data platform construction method | |
| CN110348821A (en) | A kind of the intelligence manufacture management system and method for combination Internet of Things | |
| CN104850954A (en) | System and method for processing construction information of architectural decoration project | |
| CN106296103A (en) | A kind of warehouse management system based on electricity commerce-change | |
| CN106600185A (en) | Warehouse logistics data sharing platform | |
| CN109636156A (en) | A kind of digital management system and method for multi-code unification | |
| Silveira | A methodology of implementation of cellular manufacturing | |
| CN104766107A (en) | System utilizing RFID electronic product code to collect data in BIM | |
| CN107070994A (en) | Suitable for the database of Geographic Information System of Land Resources Management | |
| CN106354882A (en) | Query service platform and query method thereof | |
| CN101488203A (en) | Method and system for real-time browsing production technique document in production field | |
| CN105871659A (en) | Monitoring method and device of newly added server | |
| US10803092B1 (en) | Metadata driven catalog definition | |
| CN107818522A (en) | Custom power status inquiry method and terminal device | |
| CN105023087A (en) | City supervision component online updating system and method | |
| CN110399749A (en) | Data assets management method and system | |
| CN201732392U (en) | Material and equipment corresponding relationship information processing device applicable to electric power system | |
| CN105160492A (en) | Enterprise business management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170426 |
|
| RJ01 | Rejection of invention patent application after publication |