CN109059948A - Amap and transportation industry data fusion method - Google Patents
Amap and transportation industry data fusion method Download PDFInfo
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- CN109059948A CN109059948A CN201810760524.9A CN201810760524A CN109059948A CN 109059948 A CN109059948 A CN 109059948A CN 201810760524 A CN201810760524 A CN 201810760524A CN 109059948 A CN109059948 A CN 109059948A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3476—Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs
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Abstract
The present invention discloses that the invention discloses the methods of Amap and transportation industry data fusion characterized by comprising step 1: obtains high moral and industry data；Step 2: industry abnormal data is handled；Step 3: industry pile No. is converted into latitude；Step 4: classifying to facility, including bridge, tunnel, charge station, interchange, service area；Step 5: each facility of high moral is successively chosen；Step 6: industry facility nearest on same route is searched；Whether step 7: judging the nearest facility of same route more than 500 meters, is more than to execute step 8, is less than execution step 9；Step 8: notice industry unit supplements basic data；Step 9: facility is chosen to be associated with Gao De the result of inquiry.The present invention, which mainly realizes, promotes trade management level.
Description
Technical field
The present invention relates to a kind of data fusion methods, and in particular to a kind of high moral facility data is merged with industry facility data
Design method, the invention belongs to high moral data and transportation industry domain of data fusion.
Background technique
In recent years, Guizhou Province's traffic transport industry catches " traffic priority development " strategic opportunity, and infrastructure construction is at full speed
Development, highway increment extended surface, Trunk highway mention etc. upgradings, rural highway it is sensible in terms of achieve significantly at
Achievement needs to grasp the whole province's road network operating condition by " figure ".Since internet POI point title and industry naming method are different
It causes, there are two types of modes for the way of tradition " figure ", the first is to pass through industry annual report data creating map datum；It is for second
Industry data is shown in Internet map.First way advantage is industry data profession, and facility attribute is complete, and disadvantage is
It updates not in time, generally annually, user gets used to using Internet map, inconvenient using industry map operation；Second
Kind advantage is that user's use habit is checked using Internet map, and disadvantage is Internet map data and industry data is still two sets
Data, can not efficient association, portion inaccuracy.It is a kind of solution using Amap and the application of transportation industry data fusion
Approach.
Summary of the invention
To solve the deficiencies in the prior art, Amap and transportation industry number are utilized the purpose of the present invention is to provide a kind of
According to the method for fusion, tradition " figure " technical problem of update not in time, inconvenient for operation, position is inaccurate is solved.
The present invention is implemented as follows:
Amap and transportation industry data fusion method, comprising:
Step 1: obtaining high moral and industry data, facility in POI point data, road network topology data and industry including Gao De
Attribute data；
Step 2: handling industry abnormal data, mainly for industry data, the facility number including missing route, pile No.
According to；
Step 3: being converted into latitude for industry pile No., according to the kilometer stake data of acquisition and high moral topological data, passes through triangle
Pile No. is converted into latitude by function；
Step 4: classifying to facility, including bridge, tunnel, charge station, interchange, service area, and every class equipment is separately counted
It calculates；
Step 5: successively choosing each facility of high moral, is classified by POI point, selects bridge, tunnel, charge station, intercommunication vertical respectively
It hands over, service area；
Step 6: searching nearest industry facility on same route, by space arithmetic, finds that same route is nearest to be set
It applies；
Whether step 7: judging the nearest facility of same route more than 500 meters, is more than to execute step 8, is less than execution step
Nine；
Step 8: notice industry unit supplements basic data；
Step 9: facility is chosen to be associated with Gao De the result of inquiry.
Preferably, POI point data table is established, for storing high moral interest point data；Road network topology table is established, for storing
High moral road network topology data；Kilometer stake table is established, for storing pile No. information needed for trade management；Bridge table is established, for depositing
Put bridge foundation information；Tunnel table is established, for storing tunnel basis information；Charge station's table is established, for storing charge station's base
Plinth information；Interchange table is established, for storing interchange basic information；Service area table is established, service area base is used for
Plinth information；High moral data and industry data contingency table are established, for storing the related information of high moral data and industry data.
Preferably, the attribute of the POI point data table includes: POI point title, POI point coding, route coding, POI class
Type, POI point longitude, POI point latitude, the POI point data table by POI type and bridge, tunnel, interchange, service area,
Charge station's tables of data is associated.
Preferably, the attribute of the high moral road network topology tables of data includes: route coding, route name, section coding, road
Name section, direction, route start longitude, route stop longitude, section longitude and latitude set, the high moral road network topology tables of data are logical
Line coding of passing by one's way is associated with bridge, tunnel, interchange, service area, charge station's tables of data；The kilometer stake tables of data
Attribute includes: route coding, pile No., longitude, latitude, the kilometer stake tables of data pass course coding, pile No., longitude, latitude
It is associated after being converted by algorithm with bridge, tunnel, interchange, service area, charge station's tables of data.
Preferably, the attribute of the bridge data table include: bridge title, bridge coding, route coding, route name,
Pile No., latitude, length, width, building time, construction unit, supervisor, manages and supports organization etc., the bridge number at longitude
It is associated according to table by POI type, bridge coding and high moral data and industry data associated data table.
Preferably, the attribute of the tunneling data table include: tunnel title, tunnel coding, route coding, route name,
Pile No., latitude, length, width, height, building time, construction unit, supervisor, manages and supports organization etc. at longitude, described
Tunneling data table is associated by POI type, tunnel coding and high moral data and industry data associated data table.
Preferably, the attribute of the interchange tables of data includes: interchange title, interchange coding, route volume
Code, pile No., longitude, latitude, manages and supports organization etc. at route name, and the interchange tables of data passes through POI type, intercommunication
Grade separation coding and high moral data are associated with industry data associated data table.
Preferably, the attribute of charge station's tables of data includes: charge station name, charge station's coding, route coding, route
Title, longitude, latitude, manages and supports organization etc. at pile No., and charge station's tables of data passes through POI type, charge station's coding and height
Moral data are associated with industry data associated data table.
Preferably, the attribute of the service area data table includes: service area title, service area coding, route coding, route
Title, longitude, latitude, service content, manages and supports organization etc. at pile No., and the service area data table passes through POI type, service
Area's coding and high moral data are associated with industry data associated data table.
Preferably, the attribute of the high moral data and industry data associated data table includes: POI point coding, POI point class
Type, facility coding, the high moral data are encoded by POI point with industry data associated data table and are closed with POI point data table
Connection is associated by POI vertex type and facility coding with bridge, tunnel, interchange, service area, charge station's tables of data.
By adopting the above-described technical solution, compared with prior art, it is too late that the present invention solves tradition " figure " update
When, technical problem inconvenient for operation, position is inaccurate.
Detailed description of the invention
Fig. 1 is the step flow chart of Amap of the present invention Yu transportation industry data fusion method；
Fig. 2 is data service relational graph in Amap of the present invention and transportation industry data fusion method.
Specific embodiment
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described embodiment
Only a part of the embodiment of the present invention, instead of all the embodiments；Based on the embodiments of the present invention, the common skill in this field
Art personnel every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
The embodiment of the present invention:
Shown in referring to Fig.1, Amap of the present invention and transportation industry data fusion method characterized by comprising
Step 1: obtaining high moral and industry data, facility in POI point data, road network topology data and industry including Gao De
Attribute data；
Step 2: handling industry abnormal data, mainly for industry data, the facility number including missing route, pile No.
According to；
Step 3: being converted into latitude for industry pile No., according to the kilometer stake data of acquisition and high moral topological data, passes through triangle
Pile No. is converted into latitude by function；
Step 4: classifying to facility, including bridge, tunnel, charge station, interchange, service area, and every class equipment is separately counted
It calculates；
Step 5: successively choosing each facility of high moral, is classified by POI point, selects bridge, tunnel, charge station, intercommunication vertical respectively
It hands over, service area；
Step 6: searching nearest industry facility on same route, by space arithmetic, finds that same route is nearest to be set
It applies；
Whether step 7: judging the nearest facility of same route more than 500 meters, is more than to execute step 8, is less than execution step
Nine；
Step 8: notice industry unit supplements basic data；
Step 9: facility is chosen to be associated with Gao De the result of inquiry.
In the present invention, pile No. and longitude and latitude transformational relation can be carried out with reference to existing various data, and the present invention is not
It limits.
Firstly, it is based on Fig. 2, the description building of various tables of data and corresponding function when being embodied.
Because trade management position is labeled as pile No., high moral position is labeled as longitude and latitude, so needing to be converted to pile No.
Longitude and latitude.So needing kilometer stake table to save the incidence relation of kilometer stake and longitude and latitude.Underlying attribute include: route coding,
Pile No., longitude, latitude.
Example: G75 route kilometer stake attribute and its corresponding occurrence are as follows:
Route coding=G75；
Pile No.=1362.000；
Longitude=106.708034；
Latitude=26.859893；
Since pile No. collection point is one kilometer one, the location information between two pile No. is stored in road network topology table.
The attribute of road network topology table includes: route coding, route name, section coding, section title, direction, route start longitude, road
Line stop longitude, section longitude and latitude set.Pass course encodes and inquires nearest longitude and latitude and is associated with road network topology table.
Example: the road network topology attribute and its corresponding occurrence of G75 route are as follows:
Route coding=G75；
Route name=orchid sea high speed；
Section title=sky；
Section coding=sky；
Direction=uplink；
Starting point longitude=106.90473328；
Starting point latitude=26.83745433；
Stop longitude=106.90505972；
Stop latitude=26.83442756；
Longitude and latitude set=106.90473328 26.83745433,106.9049408 26.83694587,106.9049925
26.83673907,106.90503681 26.83644366,106.90505158 26.83608915,106.9050442
26.83566818,106.90505972 26.83442756
Respective correspondence is stored in for the facility bridge of trade management, tunnel, interchange, service area, charge station's pile No. information
Utility meter in.With tunnel table data instance, bridge Table Properties include: tunnel title, tunnel coding, route coding, route name
Title, longitude, latitude, length, width, height, building time, construction unit, supervisor, manages and supports organization etc. at pile No..
Example: the attribute and its corresponding occurrence in the Liangfengya tunnel of the blue extra large high speed of G75 are as follows:
Tunnel title=Liangfengya tunnel；
Tunnel coding=G75520322U0028；
Route coding=G75;
The blue sea high speed of route name=G75；
Pile No.=1148.576；
Longitude=sky；
Latitude=sky；
Length=4106 meter；
Width=10.2 meter；
Highly=7 meter；
Building time=2005 year；
Construction unit=Guizhou highway Group Co., Ltd；
Supervisor=Hunan University's management center；
It manages and supports organization=Zun Yi operation management center；
For the trade management attribute in the tunnel of tunneling data table storage, the position attribution that kilometer stake table is deposited, road network topology table is deposited
Be the finer location information in section.The corresponding latitude and longitude information of tunnel pile No. is obtained by a series of operations.
Step 1: the pile No. in Liangfengya tunnel in tunnel table is chosen, pass course coding is associated with kilometer dress table,
The maximum value inside the set smaller than the pile No. is searched in kilometer stake table.Liangfengya tunnel pile No. is 1148.576, and kilometer stake is right
Maximum value is 1148 inside the set smaller than the pile No. answered.
Step 2: inquiry obtains 1148 corresponding latitude and longitude informations in kilometer stake table, longitude are as follows: and 106.832859, latitude
Are as follows: 28.267315.
Step 3: the longitude and latitude obtained according to kilometer stake is matched to obtain distance most with road network topology table longitude and latitude set
Close longitude and latitude point.
It is as follows to match calculation of longitude & latitude formula:
Two longitude and latitude point minimum distance calculation formula: ROUND (6378.138*2*ASIN (SQRT (POW (SIN
((22.299439*PI()/180-lat*PI()/180)/2),2)+COS(22.299439*PI()/180)*COS(lat*PI
()/180)*POW(SIN((114.173881*PI()/180-lng*PI()/180)/2),2)))*1000)
Starting point longitude and latitude: lng1, lat1 are the corresponding longitude and latitude of kilometer stake table: 106.832859,28.267315.Stop warp
Latitude: lng2, lat2 are the corresponding longitude and latitude of road network topology table.106.832435,28.267354.When obtaining minimum distance
When, record stop longitude and latitude at this time.
Step 4: stop longitude and latitude is updated into the longitude and latitudinal fields to tunnel basis table.
Step 5: successively successively converting all pile No. in tunnel, bridge, interchange, service area, charge station's table and more
Newly into corresponding table.
Corresponding POI point data table, works for storing various types of facility base position attribute informations；In industry
Bridge, tunnel, interchange, service area, charge station's table include distinctive some attribute informations in industry, these attributes are used as and set
The extended attribute applied is stored in corresponding utility meter.Choose route, type and the longitude and latitude letter in POI point data table
Breath searches same route apart from nearest facility by space arithmetic, and pass course, type and nearest facility are closed
Connection.
Example: Liangfengya tunnel attribute and its corresponding occurrence in POI point data table are as follows:
POI title=Liangfengya tunnel；
POI point coding=820847；
Route coding=G75；
Type=190310 POI；
Longitude=106.836639 POI；
Latitude=28.259152 POI；
Two longitude and latitude point minimum distance calculation formula:
Distance=ROUND (6378.138*2*ASIN (SQRT (POW (SIN ((22.299439*PI ()/180-lat*PI ()/
180)/2),2)+COS(22.299439*PI()/180)*COS(lat*PI()/180)*POW(SIN((114.173881*PI
()/180-lng*PI()/180)/2),2)))*1000)
Starting point longitude and latitude: lng1, lat1 are the corresponding longitude and latitude of POI point table.Stop longitude and latitude: lng2, lat2 are utility meter,
Including bridge, tunnel, interchange, charge station, service area longitude and latitude.When obtaining minimum distance, POI point at this time is recorded
Coding, POI vertex type, facility are encoded and are saved in high moral data and industry data associated data table.
Amap above-mentioned and transportation industry data fusion method, which is characterized in that the high moral data and industry number
Attribute according to associated data table includes: POI point coding, POI vertex type, facility coding, and the high moral data and industry data close
Connection tables of data is encoded by POI point and is associated with POI point data table, and POI vertex type and facility coding and bridge, tunnel are passed through
Road, interchange, service area, charge station's tables of data are associated.
Example: high moral data and industry data associated data table Liangfengya tunnel attribute and its corresponding occurrence are as follows:
POI coding=820847；
Type=190310 POI；
Facility coding=G75520322U0028;
Wherein from POI point table, facility is encoded from utility meter for POI point coding, POI vertex type.By POI coding with
POI point table is associated, and is encoded corresponding facility by facility and is associated.
The description of above scheme is the invention being intended to facilitate those of ordinary skill in the art to understand and use, and is familiar with
The personnel of art technology obviously easily can make various modifications to embodiment, and therefore, the present invention is not limited to above-mentioned realities
Scheme, those skilled in the art according to the method for the present invention, all should by improvement and modification made without departing from the scope of the present invention
Within protection scope of the present invention.
Claims (10)
1. Amap and transportation industry data fusion method characterized by comprising
Step 1: obtaining high moral and industry data, facility in POI point data, road network topology data and industry including Gao De
Attribute data；
Step 2: handling industry abnormal data, mainly for industry data, the facility number including missing route, pile No.
According to；
Step 3: being converted into latitude for industry pile No., according to the kilometer stake data of acquisition and high moral topological data, passes through triangle
Pile No. is converted into latitude by function；
Step 4: classifying to facility, including bridge, tunnel, charge station, interchange, service area, and every class equipment is separately counted
It calculates；
Step 5: successively choosing each facility of high moral, is classified by POI point, selects bridge, tunnel, charge station, intercommunication vertical respectively
It hands over, service area；
Step 6: searching nearest industry facility on same route, by space arithmetic, finds that same route is nearest to be set
It applies；
Whether step 7: judging the nearest facility of same route more than 500 meters, is more than to execute step 8, is less than execution step
Nine；
Step 8: notice industry unit supplements basic data；
Step 9: facility is chosen to be associated with Gao De the result of inquiry.
2. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: establish POI point
Tables of data, for storing high moral interest point data；Road network topology table is established, for storing high moral road network topology data；It establishes public
In stake table, for storing pile No. information needed for trade management；Bridge table is established, for storing bridge foundation information；Establish tunnel
Table, for storing tunnel basis information；Charge station's table is established, for storing charge station's basic information；Interchange table is established, is used
In storage interchange basic information；Service area table is established, service area basic information is used for；Establish high moral data and industry
Data correlation table, for storing the related information of high moral data and industry data.
3. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the POI point
The attribute of tables of data includes: POI point title, POI point coding, route coding, POI type, POI point longitude, POI point latitude, institute
POI point data table is stated to be associated by POI type and bridge, tunnel, interchange, service area, charge station's tables of data.
4. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the Gao Delu
The attribute of net topology tables of data include: route coding, route name, section coding, section title, direction, route start longitude,
Route stop longitude, section longitude and latitude set, the high moral road network topology tables of data pass course coding and bridge, tunnel, mutually
Logical grade separation, service area, charge station's tables of data are associated；The attribute of the kilometer stake tables of data include: route coding, pile No.,
Longitude, latitude, the kilometer stake tables of data pass course coding, pile No., longitude, latitude by algorithm conversion after with bridge
Beam, tunnel, interchange, service area, charge station's tables of data are associated.
5. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the bridge number
Attribute according to table include: bridge title, bridge coding, route coding, route name, pile No., longitude, latitude, length, width,
Building time, supervisor, manages and supports organization etc. at construction unit, and the bridge data table is encoded by POI type, bridge
It is associated with high moral data and industry data associated data table.
6. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the tunnel number
Attribute according to table include: tunnel title, tunnel coding, route coding, route name, pile No., longitude, latitude, length, width,
Highly, building time, construction unit, supervisor, pipe support organization etc., and the tunneling data table passes through POI type, tunnel
Coding and high moral data are associated with industry data associated data table.
7. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the intercommunication is vertical
The attribute for handing over tables of data includes: interchange title, interchange coding, route coding, route name, pile No., longitude, latitude
Degree manages and supports organization etc., and the interchange tables of data passes through POI type, interchange coding and high moral data and industry
Data correlation tables of data is associated.
8. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the charge station
The attribute of tables of data includes: charge station name, charge station's coding, route coding, route name, pile No., longitude, latitude, manages and support
Organization etc., charge station's tables of data pass through POI type, charge station's coding and high moral data and industry data associated data
Table is associated.
9. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the service area
The attribute of tables of data includes: service area title, service area coding, route coding, route name, pile No., longitude, latitude, service
Content manages and supports organization etc., and the service area data table passes through POI type, service area coding and high moral data and industry number
It is associated according to associated data table.
10. Amap according to claim 1 and transportation industry data fusion method, it is characterised in that: the Gao De
The attribute of data and industry data associated data table includes: POI point coding, POI vertex type, facility coding, the high moral data
It is encoded with industry data associated data table by POI point and is associated with POI point data table, compiled by POI vertex type and facility
Code is associated with bridge, tunnel, interchange, service area, charge station's tables of data.
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