CN106777302A - The conversion method and device of space and geographical coordinate - Google Patents
The conversion method and device of space and geographical coordinate Download PDFInfo
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- CN106777302A CN106777302A CN201611259704.6A CN201611259704A CN106777302A CN 106777302 A CN106777302 A CN 106777302A CN 201611259704 A CN201611259704 A CN 201611259704A CN 106777302 A CN106777302 A CN 106777302A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Abstract
The present invention provides the conversion method and device of a kind of space and geographical coordinate, wherein, methods described includes：Sample data is obtained, the sample data includes the coordinate data of multiple sampling positions in map, and the coordinate data of each sampled point is including the second coordinate under the first coordinate and the second coordinate system under the first coordinate system；Coordinate Transformation Models, the Coordinate Transformation Models after being trained are trained according to the sample data using machine learning method；The coordinate for treating conversion site using the Coordinate Transformation Models obtained after training carries out coordinate system conversion.By gathering the sample data under different coordinates, and train Coordinate Transformation Models using machine learning method, degree of accuracy Coordinate Transformation Models higher can be obtained, and then the mutual conversion between different coordinates can be realized using the Coordinate Transformation Models obtained after training, map is distinguished using more coordinate systems in order to user, and technical support is provided to make the superposition map under various coordinate systems.
Description
Technical field
The present invention relates to electronic map technique field, and in particular to the conversion method and device of a kind of space and geographical coordinate.
Background technology
At present, GPS positioning technology has been widely used, and gps coordinate system has turned into disclosed world coordinate system, such as Baidu
Map, moral map high etc. use gps coordinate.
But, still there is most of map at present using city coordinate system, city coordinate system is due to the essence of state control net
Degree can only meet in, the requirement of small scale mapping, many cities in order to adapt to city construction planning and building management, all kinds of engineerings
Prospective design, construction and management, topography mapping, Town Land Survey etc. need, the high-precision city coordinate system of construction.Example
Such as, overwhelming majority government intranet is all using the local map of city coordinate system at present.
At present, because each place map accepted scale, precision are not quite similar, city coordinate system and GPS that it is used
Coordinate system is also differed, and gps coordinate system and city coordinate system do not have clear and definite, direct transformational relation, therefore, using place ground
It is difficult to be distinguished with reference to gps coordinate during figure, and is also difficult to combine recognition with city coordinate system during using general GPS map；And
It is with the development of information-intensive society, city coordinate system is more and more stronger with the demand that gps coordinate tying is closed, for example make with above-mentioned
Two kinds of stacking charts of coordinate system, are distinguished according to different demands in order to user, are marked, therefore, in the urgent need to one kind
The method that city coordinate system and gps coordinate system can be changed.
The content of the invention
For defect of the prior art, the present invention provides the conversion method and device of a kind of space and geographical coordinate, with reality
Mutual conversion between existing different coordinates, map is distinguished in order to user using more coordinate systems, and various to make
Superposition map under coordinate system provides technical support.
In a first aspect, a kind of conversion method of space and geographical coordinate that the present invention is provided, including：
Sample data is obtained, the sample data includes the coordinate data of multiple sampling positions in map, each sampled point
Coordinate data the second coordinate for including under the first coordinate system under the first coordinate and the second coordinate system；
Coordinate Transformation Models, the Coordinate Conversion after being trained are trained according to the sample data using machine learning method
Model；
The coordinate for treating conversion site using the Coordinate Transformation Models obtained after training carries out coordinate system conversion.
Optionally, the utilization machine learning method trains Coordinate Transformation Models according to the sample data, including：
The Coordinate Transformation Models set up based on four parametric methods according to sample data training using machine learning method.
Optionally, the acquisition sample data, including：
The coordinate data of multiple sampling positions is marked as sample data from map using map punctuate instrument；Or,
Obtain the sample data that user uploads.
Optionally, the Coordinate Transformation Models are based on JAVA language programming realization, and provide external service interface, to use
The Coordinate Transformation Models that family obtains after the external service interface calls training carry out coordinate system conversion.
Optionally, the coordinate for treating conversion site using the Coordinate Transformation Models obtained after training carries out coordinate
System's conversion, including：
The seat of conversion site is treated using the Coordinate Transformation Models obtained after training using distributed stream computing engines
Mark carries out coordinate system conversion.
Second aspect, a kind of conversion equipment of space and geographical coordinate, including：
Sample acquisition module, for obtaining sample data, the sample data includes the seat of multiple sampling positions in map
Mark data, the coordinate data of each sampled point is including the second seat under the first coordinate and the second coordinate system under the first coordinate system
Mark；
Model training module, for training Coordinate Transformation Models according to the sample data using machine learning method, obtains
Coordinate Transformation Models after must training；
Coordinate transferring, the coordinate for being treated conversion site using the Coordinate Transformation Models obtained after training is entered
Row coordinate system is changed.
Optionally, the model training module, including：
Four parameter model training unit, for being based on four parameters according to sample data training using machine learning method
The Coordinate Transformation Models that method is set up.
Optionally, the sample acquisition module, including：
Punctuate instrument acquiring unit, the number of coordinates for marking multiple sampling positions from map using map punctuate instrument
According to as sample data；
Or,
Data capture unit is uploaded, the sample data for obtaining user's upload.
Optionally, the Coordinate Transformation Models are based on JAVA language programming realization, and the coordinate transferring provides external
Service interface, so that the Coordinate Transformation Models that user obtains after the external service interface calls training carry out coordinate
System's conversion.
Optionally, the coordinate transferring, including：
Distributed coordinate transformation unit, for being turned using the coordinate obtained after training using distributed stream computing engines
The coordinate that mold changing type treats conversion site carries out coordinate system conversion.
As shown from the above technical solution, the conversion method of a kind of space and geographical coordinate that the present invention is provided, by collection not
With the sample data under coordinate system, and Coordinate Transformation Models are trained according to the sample data using machine learning method, can be with
Degree of accuracy Coordinate Transformation Models higher are obtained, and then the Coordinate Transformation Models obtained after training can be utilized to realize different coordinates
Mutual conversion between system, map is distinguished in order to user using more coordinate systems, and to make under various coordinate systems
Superposition map provides technical support.
A kind of conversion equipment of space and geographical coordinate that the present invention is provided, the conversion method with above-mentioned space and geographical coordinate goes out
In identical inventive concept, with identical beneficial effect.
Brief description of the drawings
In order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art, below will be to specific
The accompanying drawing to be used needed for implementation method or description of the prior art is briefly described.
Fig. 1 shows a kind of flow chart of the conversion method of space and geographical coordinate that first embodiment of the invention is provided；
Fig. 2 shows a kind of schematic diagram of the conversion equipment of space and geographical coordinate that second embodiment of the invention is provided.
Specific embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Technical scheme is clearly illustrated, therefore is intended only as example, and protection of the invention can not be limited with this
Scope.
It should be noted that unless otherwise indicated, technical term used in this application or scientific terminology should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
The present invention provides a kind of conversion method of space and geographical coordinate, a kind of conversion equipment of space and geographical coordinate and one kind
The converting system of space and geographical coordinate.Embodiments of the invention are illustrated below in conjunction with the accompanying drawings.
Fig. 1 shows a kind of flow chart of the conversion method of space and geographical coordinate that first embodiment of the invention is provided.
As shown in figure 1, a kind of conversion method of space and geographical coordinate of first embodiment of the invention offer is comprised the following steps：
Step S101：Sample data is obtained, the sample data includes the coordinate data of multiple sampling positions in map, often
The coordinate data of individual sampled point is including the second coordinate under the first coordinate and the second coordinate system under the first coordinate system.
For example, first coordinate system can be city coordinate system, second coordinate system can be gps coordinate.
Wherein, the acquisition sample data, can be that multiple sampling positions are marked from map using map punctuate instrument
Coordinate data as sample data；Can also obtain the sample data that user uploads, be such as user's opening interface, lead to
Cross the sample data that the data-interface receives user feedback.
The data volume of the sample data is changeable, it is however generally that, sample trains more greatly the model accuracy for coming more
It is high.
Step S102：Coordinate Transformation Models are trained according to the sample data using machine learning method, after being trained
Coordinate Transformation Models.
After sample data is obtained, you can train corresponding Coordinate Transformation Models, machine learning using the sample data
It is rule of thumb new knowledge or skills of data acquisition, reorganizes the existing structure of knowledge and simultaneously recognize existing knowledge, can passes through
The automatic improved computerized algorithm of experience, in the embodiment of the present invention, the sample data is empirical data, by engineering
Practise, the corresponding relation of the first coordinate system and the second coordinate system can be set up, the correspondence is determined by the training of Coordinate Transformation Models
Parameters in relation, you can it is determined that accurately Coordinate Transformation Models.
In one embodiment that the present invention is provided, the Coordinate Transformation Models can be the seat set up based on four parametric methods
Mark transformation model, the utilization machine learning method trains Coordinate Transformation Models according to the sample data, including：
The Coordinate Transformation Models set up based on four parametric methods according to sample data training using machine learning method.
Wherein, four parametric methods are commonly used approaches when changing between two different two dimensional surface rectangular coordinate systems
(math equation group), it builds a Mathematical Modeling, has four unknown parameters in the model, i.e.,：
(1) two coordinate translation amount (Δ X and Δ Y), i.e., the coordinate difference between two origins of coordinates of plane coordinate system；
(2) anglec of rotation θ of plane coordinates axle, by rotating an angle, can make two X and Y-axis weight of coordinate system
It is combined.
(3) the same section of lenth ratio of straight line in the coordinate system of scale factor m, i.e., two, realizes the ratio conversion of yardstick.
Two public known points are typically at least needed, four pairs of XY coordinate values in two Different Plane rectangular coordinate systems,
This four unknown parameters can be just extrapolated, this four parameters have been calculated, it is possible to by quadruplex parameters group, by a plane
The XY coordinate values of the next point of rectangular coordinate system are converted to the XY coordinate values under another plane right-angle coordinate.
In the embodiment of the present invention, each group of coordinate in the sample data can be converted into matrix form, then
It is trained using the sample data of matrix form, and aforementioned four parameter is determined by least square method, you can it is determined that more
Accurate Coordinate Transformation Models.
Wherein, four parametric methods are the methods for carrying out Coordinate Conversion more commonly used in the prior art, and specific steps are no longer gone to live in the household of one's in-laws on getting married
State, the method that the embodiment of the present invention is combined using machine learning with four parametric methods, due to machine learning sample data volume more
Greatly, faster, the Coordinate Transformation Models for finally determining are also more accurate, and practicality is stronger for training speed.
Step S103：The coordinate for treating conversion site using the Coordinate Transformation Models obtained after training carries out coordinate system
Conversion.
After the completion of Coordinate Transformation Models training, you can carry out turning for coordinate using the Coordinate Transformation Models for training
Change, the conversion can be coordinate under the first coordinate system under conversion under the second coordinate system, or the second coordinate system
Coordinate is changed under the first coordinate system, and it is within protection scope of the present invention.
In one embodiment that the present invention is provided, the Coordinate Transformation Models are based on JAVA language programming realization, and carry
For external service interface, so that the Coordinate Transformation Models that user obtains after the external service interface calls training enter
Row coordinate system is changed, and such as can externally provide service using webservice/http server.
It should be noted that map is made up of substantial amounts of coordinate points, the embodiment of the present invention can be for certain in map
One point carries out the conversion of coordinate system, or the Batch conversion for carrying out coordinate system to partial dot, can also be to whole
The point of map is all changed, and in order to make the map of various coordinate system superpositions, is easy to user to distinguish.
In the case of more for coordinate points, because data volume is larger, transfer process certainly will greatly expend conversion
The resource of system, its conversion efficiency also can be relatively low, therefore, in one embodiment that the present invention is provided, after the use training
The coordinate that the Coordinate Transformation Models for obtaining treat conversion site carries out coordinate system conversion, including：
The seat of conversion site is treated using the Coordinate Transformation Models obtained after training using distributed stream computing engines
Mark carries out coordinate system conversion.
, mainly for the treatment of mass data, it uses Distributed Calculation, and (backstage Duo Tai machines are same for distributed stream computing engines
When process), can effectively improve the conversion efficiency of magnanimity coordinate, solve that computing load when single computer is processed is big, effect
The low problem of rate, being particularly suited for points all to map all carries out the situation of Coordinate Conversion, and then makes under various coordinate systems
Superposition map.The distributed stream computing engines can not limit it using Storm, Spark and Samza etc., the present invention
Specific embodiment, the above is within protection scope of the present invention.
So far, by step S101 to step S103, complete that first embodiment of the invention provided it is a kind of spatially
Manage the flow of the conversion method of coordinate.The conversion method of the space and geographical coordinate provided in an embodiment of the present invention, by collection
Sample data under different coordinates, and Coordinate Transformation Models are trained according to the sample data using machine learning method, can
The Coordinate Transformation Models higher to obtain the degree of accuracy, and then the Coordinate Transformation Models obtained after training can be utilized to realize different seats
Mutual conversion between mark system, map is distinguished in order to user using more coordinate systems, and to make under various coordinate systems
Superposition map provide technical support.
It is corresponding in above-mentioned first embodiment, there is provided a kind of conversion method of space and geographical coordinate, this
Application also provides a kind of conversion equipment of space and geographical coordinate.Fig. 2 is refer to, its one kind provided for second embodiment of the invention
The schematic diagram of the conversion equipment of space and geographical coordinate.Because device embodiment is substantially similar to embodiment of the method, so describing
Fairly simple, the relevent part can refer to the partial explaination of embodiments of method.Device embodiment described below is only to illustrate
Property.
A kind of conversion equipment of space and geographical coordinate that second embodiment of the invention is provided, including：
Sample acquisition module 101, for obtaining sample data, the sample data includes multiple sampling positions in map
Coordinate data, the coordinate data of each sampled point is including the second seat under the first coordinate and the second coordinate system under the first coordinate system
Mark；
Model training module 102, for training Coordinate Transformation Models according to the sample data using machine learning method,
Coordinate Transformation Models after being trained；
Coordinate transferring 103, the seat for treating conversion site using the Coordinate Transformation Models obtained after training
Mark carries out coordinate system conversion.
In one embodiment that the present invention is provided, the model training module 102, including：
Four parameter model training unit, for being based on four parameters according to sample data training using machine learning method
The Coordinate Transformation Models that method is set up.
In one embodiment that the present invention is provided, the sample acquisition module 101, including：
Punctuate instrument acquiring unit, the number of coordinates for marking multiple sampling positions from map using map punctuate instrument
According to as sample data；
Or,
Data capture unit is uploaded, the sample data for obtaining user's upload.
In one embodiment that the present invention is provided, the Coordinate Transformation Models are based on JAVA language programming realization, described
Coordinate transferring 103 provides external service interface, so that what user obtained after the external service interface calls training
The Coordinate Transformation Models carry out coordinate system conversion.
In one embodiment that the present invention is provided, the coordinate transferring 103, including：
Distributed coordinate transformation unit, for being turned using the coordinate obtained after training using distributed stream computing engines
The coordinate that mold changing type treats conversion site carries out coordinate system conversion.
More than, a kind of embodiment explanation of the conversion equipment of the space and geographical coordinate provided for second embodiment of the invention.
A kind of conversion equipment of space and geographical coordinate that the present invention is provided goes out with the conversion method of above-mentioned space and geographical coordinate
In identical inventive concept, with identical beneficial effect, here is omitted.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or spy that the embodiment or example are described
Point is contained at least one embodiment of the invention or example.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combined in an appropriate manner in one or more embodiments or example.Additionally, in the case of not conflicting, the skill of this area
Art personnel can be tied the feature of the different embodiments or example described in this specification and different embodiments or example
Close and combine.
It should be noted that the flow chart and block diagram in accompanying drawing show multiple embodiments of the invention system,
The architectural framework in the cards of method and computer program product, function and operation.At this point, in flow chart or block diagram
Each square frame can represent a part for module, program segment or code, the part bag of the module, program segment or code
It is used for the executable instruction of the logic function of realization regulation containing one or more.It should also be noted that at some as the reality replaced
In existing, the function of being marked in square frame can also occur with different from the order marked in accompanying drawing.For example, two continuous sides
Frame can essentially be performed substantially in parallel, and they can also be performed in the opposite order sometimes, and this is according to involved function
It is fixed.It is also noted that the group of the square frame in each square frame and block diagram and/or flow chart in block diagram and/or flow chart
Close, can be realized with the function of regulation or the special hardware based system of action is performed, or specialized hardware can be used
Combination with computer instruction is realized.
The conversion equipment of the space and geographical coordinate that the embodiment of the present invention is provided can be computer program product, including deposit
The computer-readable recording medium of program code is stored up, the instruction that described program code includes can be used to perform previous methods implementation
Method described in example, implements and can be found in embodiment of the method, will not be repeated here.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method, can be with
Realize by another way.Device embodiment described above is only schematical, for example, the division of the unit,
It is only a kind of division of logic function, there can be other dividing mode when actually realizing, but for example, multiple units or component can
To combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or beg for
The coupling each other of opinion or direct-coupling or communication connection can be by some communication interfaces, device or unit it is indirect
Coupling is communicated to connect, and can be electrical, mechanical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize the mesh of this embodiment scheme
's.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.
If the function is to realize in the form of SFU software functional unit and as independent production marketing or when using, can be with
Storage is in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used to so that a computer equipment (can be individual
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
Pipe has been described in detail with reference to foregoing embodiments to the present invention, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover in the middle of the scope of claim of the invention and specification.
Claims (10)
1. a kind of conversion method of space and geographical coordinate, it is characterised in that including：
Sample data is obtained, the sample data includes the coordinate data of multiple sampling positions in map, the seat of each sampled point
Mark data are including the second coordinate under the first coordinate and the second coordinate system under the first coordinate system；
Coordinate Transformation Models, the Coordinate Conversion mould after being trained are trained according to the sample data using machine learning method
Type；
The coordinate for treating conversion site using the Coordinate Transformation Models obtained after training carries out coordinate system conversion.
2. the conversion method of space and geographical coordinate according to claim 1, it is characterised in that the utilization machine learning side
Method trains Coordinate Transformation Models according to the sample data, including：
The Coordinate Transformation Models set up based on four parametric methods according to sample data training using machine learning method.
3. the conversion method of space and geographical coordinate according to claim 1, it is characterised in that the acquisition sample data,
Including：
The coordinate data of multiple sampling positions is marked as sample data from map using map punctuate instrument；Or,
Obtain the sample data that user uploads.
4. the conversion method of space and geographical coordinate according to claim 1, it is characterised in that the Coordinate Transformation Models base
In JAVA language programming realization, and external service interface is provided, so that user is after the external service interface calls training
The Coordinate Transformation Models for obtaining carry out coordinate system conversion.
5. the conversion method of space and geographical coordinate according to claim 1, it is characterised in that described using being obtained after training
The Coordinate Transformation Models treat the coordinate of conversion site and carry out coordinate system conversion, including：
Entered using the coordinate that the Coordinate Transformation Models obtained after training treat conversion site using distributed stream computing engines
Row coordinate system is changed.
6. a kind of conversion equipment of space and geographical coordinate, it is characterised in that including：
Sample acquisition module, for obtaining sample data, the sample data includes the number of coordinates of multiple sampling positions in map
According to the coordinate data of each sampled point is including the second coordinate under the first coordinate and the second coordinate system under the first coordinate system；
Model training module, for training Coordinate Transformation Models according to the sample data using machine learning method, is instructed
Coordinate Transformation Models after white silk；
Coordinate transferring, the coordinate for being treated conversion site using the Coordinate Transformation Models obtained after training is sat
The conversion of mark system.
7. the conversion equipment of space and geographical coordinate according to claim 6, it is characterised in that the model training module,
Including：
Four parameter model training unit, for being built based on four parametric methods according to sample data training using machine learning method
Vertical Coordinate Transformation Models.
8. the conversion equipment of space and geographical coordinate according to claim 6, it is characterised in that the sample acquisition module,
Including：
Punctuate instrument acquiring unit, the coordinate data for being marked multiple sampling positions from map using map punctuate instrument is made
It is sample data；
Or,
Data capture unit is uploaded, the sample data for obtaining user's upload.
9. the conversion equipment of space and geographical coordinate according to claim 6, it is characterised in that the Coordinate Transformation Models base
In JAVA language programming realization, the coordinate transferring provides external service interface, so that user is by the external service
The Coordinate Transformation Models obtained after interface interchange training carry out coordinate system conversion.
10. the conversion equipment of space and geographical coordinate according to claim 6, it is characterised in that the coordinate transferring,
Including：
Distributed coordinate transformation unit, for using the Coordinate Conversion mould obtained after training using distributed stream computing engines
The coordinate that type treats conversion site carries out coordinate system conversion.
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| CN110602449A (en) * | 2019-09-01 | 2019-12-20 | 天津大学 | Intelligent construction safety monitoring system method in large scene based on vision |
| CN111708046A (en) * | 2020-04-28 | 2020-09-25 | 上海高仙自动化科技发展有限公司 | Method and device for processing plane data of obstacle, electronic equipment and storage medium |
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