CN105046471B - The method for determining best logistics scheme based on holographic map data analysis technique - Google Patents
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Abstract
The invention proposes a kind of method for determining best logistics scheme based on holographic map data analysis technique, this method passes through holographic situational map and big data analysis and Data cache technology, to obtain a kind of logistics scheme optimal in a certain range.The described method includes: the water route net, the railway network, network of highways of China are depicted as holographic situational map by third party's map；Acquire data source, harbour, railway and Highways ' opsition dependent in the holographic map demarcate the title of each goods station, establish the template of the example of every enterprise, and the corresponding information of enterprise is added in database, data are analyzed, analysis method is mainly based upon GIS-Geographic Information System (GIS)；Pass through the related resource of map API affiliated enterprise and its periphery.
Description
Technical field
The present invention relates to technical field of communication, GIS, big data on line analytical processings, more particularly to one kind is based on holographic ground
The method that diagram data analytical technology determines best logistics scheme.
Background technique
Developed country's logistics total cost in 2013 accounts for the specific gravity of entire GDP less than 9%, and the Chinese logistics total cost of the same period
The specific gravity for accounting for entire GDP is 18%, is twice of developed country.The main reason is that developed country in modern information technologies and
It establishes on the basis of perfect credit system to standardize, information-based, automation, cooperation turn to the Modern Logistics System of core, real
Show that logistics cost is low, operational efficiency is high, social commodities stock-sales ratio is low.And the logistics of China has small, scattered, unrest, difference, more
Shipping Method, dispersion, inefficient shipping status make delivery service central role be difficult to play, and the level of informatization is low, is transporting
On, since the vehicles do not have optimal shipping scheme, it is serious to will cause inorganization misuse of transport facilities empty driving transport power phenomenon.
Technically renewal speed is slower first for traditional map, some companies, harbour or river do not mark or
Not intuitive enough, most important, traditional map is not directed to various industries and carries out careful division, leads to the information of such as logistic industry
Measure less, other information will appear redundancy again.So if there is a kind of map that can be convenient various industries is and its convenient
's.
The present invention is a kind of method based on holographic situational map by technologies such as data analyses, wherein holographic situational map
It is with position for reference, according to different demands, is based on the Ubiquitous Networks such as various positioning systems, Sensor Network, internet, communication network,
The multi-source heterogeneous information such as real-time dynamic acquisition position coordinates, position attribution, positional relationship, position moving characteristic, are melted by superposition
It closes, establishes that semantic relation is consistent, the unified geographical associated holographic position digital map of space-time, it can display location sheet comprehensively through drawing
Body and various features relevant to position, event or things.Holographic situational map has comprehensive, dynamic and uniformity three big
Feature will provide effective service for public's location-based service, business decision and Situation Awareness, while further pushing position service produces
The other field of industry and financial field gos deep into fusion development.
Summary of the invention
The technical problem to be solved in the present invention is to provide one kind to determine best logistics based on holographic map data analysis technique
The method of scheme can solve the means of transportation low efficiency of logistic industry and search the slow problem of the source of goods, can be by reasonable
Map and data analysis technique determine most suitable means of transportation and path, most suitable service port station.
In order to realize that the purpose, the solution that the present invention solves the above problems are to utilize the number based on holographic map
According to analytical technology, in terms of holographic map, first with holographic situational map and according to third party's mapping about railway, public affairs
The favour dragon holographic map on road and water route；In terms of database, establishes the materials circulation info class and data source is acquired
And data mining analysis is carried out, finally transferred on related data mark favour dragon holographic map using Ajax technology；In geographical location
Aspect, by the API affiliated enterprise of favour dragon holographic map and the related resource on its periphery, such as: goods station, harbour code are matched in station
Other associated enterprises are possible on head and business.
In terms of holographic map:
(1) data model and position sensing network data of holographic situational map expression are constructed；Data acquisition hand of the invention
Section is that API and multielement bar data based on third-party platform are combined.
(2) position model is constructed；Multi-source position data feature is analyzed first, from spatial spread, linguistics extension and network
Extension tripartite classifies in face of location-aware, and by the position extraction of semantics to location expression and in model of place
Real world locations information extraction constructs position feature and positional relationship.
(3) Dynamic and Multi dimensional scene is constructed；The dynamic scene is the carrying carrier of the data model, and method for visualizing is
Information recommendation method based on location aware, based on the historical data by the information recommendation method of location aware according to user
It calculates and judges the preference pattern of user, synthetic user history and current location context information, actively to user to push its interested
Content.
In terms of database:
(4) it uses Company Javabean class as the template of every enterprise's Java example, includes enterprise in class
Logistics information includes title, type, address, main management range, raw material sources and means of transportation, product whereabouts and means of transportation；?
It is contemplated that different types of enterprise is described with extension class (Company Extended Class), field is added: production enterprise
Industry, trading enterprise, service class enterprise.
(5) other departments, such as: harbour, harbour match goods station, cargo train station as Company Extended
Class adds corresponding field into database.
(6) Company Extended Class in the database is established into caching (Cache)；Using described
Company Extended Class template carries out classification processing, establishes the buffer area of other departments in the area Cache；It establishes
The area Cache of enterprise.The area Cache data are in system not peak hours/period (such as 0 point to 5 points) and database synchronization.
(7) browser or mobile terminal business data are recorded with json format, on the Company Javabean Class
If the interested business data of client is expressed as the format of Json js character string by a CompanyJsonWrapper class.
(8) all kinds of interested enterprises are marked by third party's map API on map, when the mobile mouse of user or
Map is moved to new focal zone by sliding finger, and client js engine captures new map center point, after webpage
Ajax engine transfers related data from caching, marks onto map.
In terms of geographical location:
(9) pass through the favour dragon holographic map API affiliated enterprise and other departments and enterprise；Such as: station, with goods station,
Other associated enterprises are possible in harbour, harbour and business.
The present invention provides a kind of methods for determining best logistics scheme based on holographic map data analysis technique, comprising:
The water route net, the railway network, network of highways of China are depicted as holographic situational map by third party's map；Number is acquired by following steps
According to source: (1) establishing the modular system that data are acquired and sorted out with keyword；(2) transaction system related data automatic input is established
System；(3) interface system with third party's data source interconnection is established；Harbour, railway and highway edge in the holographic map
Line opsition dependent demarcates the title of each goods station, establishes the template of the example of every enterprise, and the corresponding information of enterprise is added to
Mining analysis is carried out to data in database, data mining analysis method is mainly based upon GIS-Geographic Information System (GIS)；Pass through ground
Scheme the related resource of API affiliated enterprise and its periphery.
Preferably, third party's map refers to other electronic maps used, specially Amap, Baidu
Figure and or Google Maps, the method need the API of third party's map, interested enterprise is marked by the API
Onto holographic situational map.
Preferably, interested enterprise refer to the related all kinds of service enterprisees of the logistic industry, manufacturing enterprise and
Trading enterprise and other departments, specially harbour, harbour, with goods station and or cargo train station, in this as the extension of enterprise-class
Class.
Preferably, all kinds of interested enterprises are marked by third party's map API on map, when the mobile mouse of user
Map is moved to new focal zone by mark or sliding finger, and client js engine captures new map center point, after webpage
Ajax engine transfer related data from caching, on mark to map.
Preferably, holographic situational map be exactly using position as tie, by ubiquitous information association into multidigit dynamic scene into
Row convergence, analysis, transmitting, expression and application；
Preferably, the holographic situational map emphasis on location is core, will be on the ubiquitous information MAP to multi-dimensional map
It converged, be associated with, analyzed, transmitted and expressed；Specific matters in the ubiquitous acquisition of information real world and virtual world
Full spectrum information.
Preferably, the method for acquiring data source includes the modular system for establishing data and being acquired and sorted out with keyword, in base
In the data collection system of keyword, the related data set for reflecting a certain theme is provided by user first, is therefrom extracted
The keyword of theme can be represented, and the keyword is sent into third party API, using these keywords to the data in system
Carry out primary filtration；Then upper from filtered data to extract corresponding keyword and sorted out, by calculating data phase
Like the method for degree, the data unrelated with keyword are filtered out.
Preferably, the keyword that the extraction can represent theme refers to be made with enterprise-class Company Javabean class
It include materials circulation information in Company Javabean class correspondence database for the template of every enterprise's Java example,
It mainly include enterprise name, type, address, main management range, raw material sources and means of transportation, product whereabouts and means of transportation.
Preferably, the keyword that the extraction can represent theme also needs to consider different types of enterprise's extension class
Company extended class description, specially harbour, match goods station, cargo train station at harbour, add corresponding field and arrive
In corresponding database.
Preferably, the method for acquiring data source further includes related data automatic input system after establishing transaction system, mainly
It is to handle the data source under acquisition, by all kinds of enterprises in the corresponding database of the Company extended class
Field establishes caching using FIFO technology, and caches to buffer area in order to more rapidly effectively read, and needs to control the caching
The size in area.
Preferably, it is described establish buffer area and refer to be configured in the buffer input received data for storing from caching
First son caching and the second son caching, the second son caching are configured for storage from caching input or the first son
It caches received data, and to receive the identical sequence of data in the caching input, it is defeated to output data to caching
Out.
Preferably, the size for needing to control caching refers to that cache control logic is configured for selectively from the caching
Input or the first son caching route data to the second son caching, so that in the received data in the caching input by first
It is exported into mode is first gone out from the second son caching.
Preferably, using the classification processing of enterprise's class template, buffer area using FIFO technology establish port and pier,
With goods station, cargo train station buffer area；The materials circulation information is the main body of data, according to the demand of different business, is established
The buffer area of different type enterprise.
Preferably, the different types of business data of the buffer area is in system not busy period and database server
It synchronizes, specially 0 point to 5 points of morning.
Preferably, establishing materials circulation information model refers to the system the materials circulation information with json format note
Record in the database, establishes a CompanyJsonWrapper class, by client on Company Javabean class
Interested business data is expressed as the format of Json js character string.
Preferably, described to be referred to using the space querying and spatial analysis functions of GIS based on GIS analysis method structure
Change, semi-structured or non-structured text data is converted into space or Non-spatial Data；Extract entity interested pair
Image data, spatial relationship and association attributes between analysis space entity, then use space data mining algorithm is known
Know extract, final data excavate the result is that visualized data.
Preferably, refer to that the materials circulation information is corresponding with the related resource on its periphery by map API affiliated enterprise
Database in relevant enterprise field using the relationship between sql like language the inquiry data and data that are mined out.
The present invention is a kind of method for determining best logistics scheme based on holographic map data analysis technique, is had the special feature that
With the utility model has the advantages that
(1) enterprise in database of the present invention can calculate automatically should arrive where purchase supplementary material cost in what season
It is minimum, one to three kind of method of factories and miness on optimization purchases target ground, one to three kind of the port station method of Optimizing Transport mode and path,
Whether there is price advantage to judge optimum results compared with existing cost of raw；
(2) enterprise in database of the present invention can calculate enterprise's finished product automatically and sell to respectively respectively most in what season
Good target area price highest, the market share captured are bigger.For the national market demand analysis of similar finished product, habit point
Analysis, logistics analysis, Season Analysis, traditional market are analyzed to optimize enterprise's finished product in the best distribution region of Various Seasonal, most
Good means of transportation and path, the selection of optimal service port station；
(3) present invention can be the market prediction of the emphasis member optimization of enterprises future 3-5 month, it is proposed that supplementary material and finished product
Be with into rationed marketing or with pin it is fixed into.
Detailed description of the invention
Fig. 1 is system flow chart of the invention；
Fig. 2 is key technology major architectural of the present invention using holographic situational map；
Fig. 3 is key technology main flow of the present invention using holographic situational map；
Fig. 4 is the process that the present invention carries out big data analysis using GIS；
Fig. 5 is the best transport power result that the source of goods of the present invention is searched out from highway and water route.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
1, system flow of the invention is as shown in Fig. 1:
(1) the water route net, the railway network, network of highways of China are depicted as holographic situational map by third party's map；
(2) the water route bank opsition dependent in the holographic situational map demarcates each harbour title, is implanted into according to each harbour
Corresponding terminal information (Dock Info) includes harbour title (Dock Name), number (Num), position (Location), method
Determine representative (Legal Rep), registered capital (register), business scope and time limit (Datetime), wharf anchors ability,
Forward position draft, cargo type of unloading and ability, storage facilities and ability, each cargo type comprehensive charging standard, social assessment, bad note
Record.The ship's navigation of the position of the ship lock and anchorage demarcated along water route, service item and charging standard, course line limits item
Part.
(3) the Along Railway opsition dependent in holographic situational map demarcates the title of each goods station, according to each railway stock
It is implanted into corresponding railway information (Railway Info), includes: title (Name), address (Address), type of service (Project
Type), goods yard area (Yard Area), handling diatom, warehouse quantity, storage area, storage space.
(4) along holographic situational map Highways ' calibration enterprise name position, be implanted into according to each enterprise corresponding public
Road information (highway Info): title (Name), type (Type), position (Location), legal representative (Legal
Rep), registered capital (Register), operating period (Operating Period)；Highways ' charge station, bridges and culverts, ferry
Position and charging standard.
(5) acquisition method of data source:
1) modular system that data are acquired and sorted out with keyword, is established；
2) transaction system related data automatic input system, is established；
3) interface system with third parties' data source interconnections such as governments, is established；
(6) target of data application, big data analysis mode set up Data entries, different demands can from it is unified it is dedicated enter
Mouth input, automatically derived demand scheme.
2, the present invention uses the holographic key technology major architectural of situational map and process such as 2 and of attached drawing of key technology
Shown in 3:
(1) ubiquitous acquisition of information.The information such as geospatial information and internet data and sensing network data are obtained, are used
Information acquisition method obtains ubiquitous information；Isomeric data using position association, tense correlation and theme fusion collects association
Technology；Establish the database of holographic situational map.
(2) semantic locations model.Multi-source position data feature is analyzed first, from spatial spread, linguistics extension and network
Extension tripartite classifies in face of location-aware, and by the position extraction of semantics to location expression and in model of place
Real world locations information extraction constructs position feature and positional relationship.
(3) Dynamic and Multi dimensional scene.The dynamic scene is the carrying carrier of the data model, method for visualizing be based on
The information recommendation method of location aware, it is described to be sentenced based on the information recommendation method of location aware according to the calculating of the historical data of user
The preference pattern of disconnected user, synthetic user history and current location context information actively to user push its interested content.
3, the process that the present invention carries out big data analysis using GIS is as shown in Fig. 4:
The inventive method is specifically divided into four steps, respectively spatial data preparation, the creation of creation data connection table, concept lattice
With the acquisition of Spatial Association Rule, particular content is set forth below:
(1) spatial data prepares, and by the query function of GIS, is described to number with relevant enterprise data information all
According in library, being formed simultaneously a spatial data background.
(2) data connection table is created, Spatial Rules excavation, data connection target wound are carried out on the basis of spatial data table
Building is committed step, and the data connection table describes the spatial relationship between figure layer.Utilize the spatial analysis functions of GIS, meter
Calculate the relationship between spatial object.
(3) concept lattice creates, and the excavation of rule is associated using concept lattice, ultimately generates concept lattice and Hasse schemes.
(4) acquisition of Spatial Association Rule, after creating concept lattice, system can automatically generate nonredundancy association rule
Then.
1) all nonvoid subsets for finding out each frequent concept node intension collection, if some subset is the son of its father node
Collection, just deletes the subset.
2) for the residuary subset of each frequent concept node intension collection, another subset is the true of the subset if it exists
Subset then deletes the subset.And then generate Intention reduction collection.
3) by Intention reduction collection create-rule, rule of the confidence level less than 100%, form be g → (f2-g) | g ∈
Gf1}.F1 is father node, Gf1It is its Intention reduction collection, f2 is child node.
4, the best transport power result that the source of goods of the present invention is searched out from highway and water route is as shown in Fig. 5, and the present invention can be with
The best transit route of highway or water route of the source of goods from one place to another and freightage information under this condition are accurately calculated,
The present invention has a kind of this function incessantly.
The above is a preferred embodiment of the present invention, it is noted that the middle-and-high-ranking technology of the art is used
For family, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications
It is the inevitable preceding exhibition in our inventions as a result, also should be regarded as protection scope of the present invention.
Claims (9)
1. a kind of method for determining best logistics scheme based on holographic map data analysis technique characterized by comprising
The water route net, the railway network, network of highways of China are depicted as holographic situational map by third party's map；
Data source is acquired by following steps:
(1) modular system that data are acquired and sorted out with keyword is established；It is realized especially by following manner: based on keyword
Data collection system in, the related data set for reflecting a certain theme is provided by user first, theme can be represented by therefrom extracting
Keyword, and by the keyword be sent into third party's map API in, using these keywords in system data carry out
Primary filtration；Then corresponding keyword is extracted from filtered data and is sorted out, and is filtered out unrelated with keyword
Data；
The keyword that the extraction can represent theme, which refers to, uses enterprise-class Company Javabean class as every enterprise
The template of Java example includes materials circulation information in Company Javabean class correspondence database；The extraction energy
The keyword for representing theme also describes different types of enterprise extension class Company extended class, and enterprise expands
Opening up includes other departments in class Company extended class, other described departments are specially harbour, harbour, with goods station
With or cargo train station；
(2) transaction system related data automatic input system is established；Realized especially by following manner: to the data source of acquisition into
Row processing, all kinds of enterprise fields in the corresponding database of Company extended class are established using FIFO technology and are delayed
It deposits；Harbour, railway and Highways ' opsition dependent in the holographic situational map demarcate the title of each goods station, establish every family
The template of the example of enterprise, and the corresponding information of enterprise is added in database, mining analysis, data mining are carried out to data
Analysis method is based on GIS-Geographic Information System；
The data mining analysis method refer to using GIS-Geographic Information System space querying and spatial analysis functions structuring,
Semi-structured or non-structured text data is converted into space or Non-spatial Data；Extract entity interested number of objects
According to spatial relationship and association attributes between analysis space entity, then use space data mining algorithm progress knowledge mentions
Take, final data excavate the result is that visualized data；
The template of the example for establishing every enterprise refers to and the materials circulation information is recorded in database with json format
In, a CompanyJsonWrapper class is established on Company Javabean class, by the interested enterprise of client
Industry data representation is the format of Json js character string；The Company Javabean class indicates enterprise-class；
(3) interface system with third party's data source interconnection is established；API affiliated enterprise and its periphery by third party's map
Related resource；Referred to by map API affiliated enterprise and the related resource on its periphery, the corresponding data of the materials circulation information
Relevant enterprise field in library, the relationship between data and data being mined out using sql like language inquiry.
2. according to the method described in claim 1, it is characterized by:
Third party's map refers to other electronic maps used, specially Amap, Baidu map and or Google
Map, the method need the API of third party's map, are marked interested enterprise to holographic position by the API
On map.
3. according to the method described in claim 2, it is characterized by:
Interested enterprise refers to the related all kinds of service enterprisees of the logistic industry, manufacturing enterprise and trading enterprise and its
His department, other described departments be specially harbour, harbour, with goods station and or cargo train station, in this as the extension of enterprise-class
Class.
4. according to the method described in claim 2, it is characterized by:
On the API mark to map that all kinds of interested enterprises are passed through third party's map, when the mobile mouse of user or sliding
Map is moved to new focal zone by finger, and client js engine captures new map center point, and the Ajax after webpage draws
It holds up and transfers related data from caching, on mark to map.
5. according to the method described in claim 1, it is characterized by:
Holographic situational map is exactly using position as tie, ubiquitous information association is converged into multidigit dynamic scene, is analyzed,
Transmitting, expression and application；
The holography situational map emphasis on location is core, will be converged, is closed on the ubiquitous information MAP to multi-dimensional map
Connection, analysis, transmitting and expression；The full spectrum information of specific matters in the ubiquitous acquisition of information real world and virtual world.
6. according to the method described in claim 1, it is characterized by:
The caching of establishing refers to the first son caching being configured in the buffer for storing from the received data of caching input, with
And the second son caching, the second son caching are configured for storage from caching input or the first received number of son caching
According to, and to receive the identical sequence of data in the caching input, output data to caching output.
7. according to the method described in claim 6, it is characterized by:
The size, in particular to cache control logic that the caching needs to control buffer area are configured for selectively from described
Caching input or the first son caching route data to the second son caching, so that in the received data in the caching input
It is exported by first-in first-out from the second son caching.
8. according to the method described in claim 1, it is further characterized in that:
Using the classification processing of enterprise's class template, port and pier are established using FIFO technology, with goods station, shipping in buffer area
Railway station buffer area；The materials circulation information is the main body of data, according to the demand of different business, establishes different type enterprise
Buffer area.
9. according to the method described in claim 8, it is further characterized in that:
The different types of business data of the buffer area is synchronized in the system not busy period with database server, tool
Body is 0 point to 5 points of morning.
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| CN103632208A (en) * | 2013-11-14 | 2014-03-12 | 北京锐安科技有限公司 | Quantitive analysis method for logistics transport distance and warehouse site selection method |
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