CN106558101A - Spatial information acquisition methods and device - Google Patents
Spatial information acquisition methods and device Download PDFInfo
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Abstract
The invention discloses a kind of spatial information acquisition methods and device, its method includes：The mode selection command that receive user end sends, the corresponding pattern of recognition mode selection instruction；Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting；According to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains corresponding spatial information data；According to Mathematical Modeling, data reconstruction is carried out to spatial information data, obtain the spatial information data after data reconstruction and preserved.During the present invention solves prior art, space acquisition of information error rate is high, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accuracy rate, improve spatial information and obtain efficiency, meet user's request.
Description
Technical field
The present invention relates to Spatial Information Technology field, more particularly to a kind of spatial information acquisition methods and device.
Background technology
With the fast development of Spatial Information Technology, spatial information integrated application allow one to it is timely and convenient and
A large amount of geometry and physical message about epigeosphere and its environment are obtained continuously.
Vehicle GPS (Global Positioning System, global positioning system), GIS (Geographic
Information System, GIS-Geographic Information System) etc., it is with space orientation technique, remote sensing technology and GIS-Geographic Information System skill
Spatial information based on art is obtained and processing system, can by using remotely-sensed data make navigation Digital image map and
3D visualization images based on data integration.
In the prior art, spatial information data complexity is various, and data volume is huge, and larger for Functional Requirement should
With, it usually needs a large amount of different data are collected, spatial information is easily caused and is obtained error rate height, inefficiency, it is impossible to meet
User's request.
The content of the invention
Present invention is primarily targeted at proposing a kind of spatial information acquisition methods and device, it is intended to solve in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.
For achieving the above object, the present invention provides a kind of spatial information acquisition methods, including：
The mode selection command that receive user end sends, recognizes the corresponding pattern of the mode selection command；
Mathematical Modeling corresponding with the pattern is matched in the model database for pre-setting；
According to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains corresponding sky
Between information data；
According to the Mathematical Modeling, data reconstruction is carried out to the spatial information data, obtain the space after data reconstruction
Information data is simultaneously preserved.
Preferably, the mode instruction that the receive user sends, the step of recognize the mode instruction corresponding pattern it
Before, also include：
Control sensor carries out image pre-captured, obtains corresponding image data；
Matching multiple patterns corresponding with the image data, send the plurality of pattern to user side, by the user
End carries out mode selecting operation.
Preferably, described according to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains
The step of taking corresponding spatial information data includes：
Recognize the vacancy parameter in the Mathematical Modeling；
Control sensor carries out multidimensional capture operation, obtains the vacancy parameter；
Operation is modeled to the Mathematical Modeling according to the vacancy parameter, corresponding spatial information data is obtained.
Preferably, it is described that data reconstruction is carried out to the spatial information data according to the Mathematical Modeling, obtain data weight
Spatial information data after structure simultaneously includes the step of preserved：
According to the Mathematical Modeling, data reconstruction is carried out to the spatial information data, turn the spatial information data
Change into and meet the Mathematical Modeling another kind geometric shape, obtain the spatial information data after data reconstruction；
Preserve the spatial information data after the data reconstruction.
Preferably, it is characterised in that the Mathematical Modeling includes：Data Mathematical Modeling, topology model and network number
Learn model.
For achieving the above object, the present invention also provides a kind of spatial information acquisition device, including：
Identification module, for the mode selection command that receive user end sends, recognizes that the mode selection command is corresponding
Pattern；
Matching module, for Mathematical Modeling corresponding with the pattern is matched in the model database for pre-setting；
Acquisition module, for according to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation,
Obtain corresponding spatial information data；
Preserving module, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, obtaining data
Spatial information data after reconstruct is simultaneously preserved.
Preferably, described device also includes：
Pre-captured module, carries out image pre-captured for controlling sensor, obtains corresponding image data；
Pre-matching module, for matching multiple patterns corresponding with the image data, sends the plurality of pattern to use
Family end, carries out mode selecting operation by the user side.
Preferably, the acquisition module includes：
Recognition unit, for recognizing the vacancy parameter in the Mathematical Modeling；
Capture unit, carries out multidimensional capture operation for controlling sensor, obtains the vacancy parameter；
Modeling unit, for being modeled operation to the Mathematical Modeling according to the vacancy parameter, obtains corresponding sky
Between information data.
Preferably, the preserving module includes：
Reconfiguration unit, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, makes the sky
Between information data be converted into meeting the Mathematical Modeling another kind geometric shape, obtain the spatial information data after data reconstruction；
Storage unit, for preserving the spatial information data after the data reconstruction.
Preferably, the Mathematical Modeling includes：Data Mathematical Modeling, topology model and network Model.
For achieving the above object, the present invention also provides a kind of spatial information application system, including：
Spatial information getter, the spatial information getter include the device any one of claim 5-8, use
In the acquisition spatial information；
Spatial information processing device, for processing the spatial information.
Preferably, the system also includes：
Application end, the spatial information after processing for application.
The invention provides a kind of spatial information acquisition methods and device, its method includes：The mould that receive user end sends
Formula selection instruction, the corresponding pattern of recognition mode selection instruction；Match in the model database for pre-setting corresponding with pattern
Mathematical Modeling；According to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains corresponding space
Information data；According to Mathematical Modeling, data reconstruction is carried out to spatial information data, obtain the spatial information data after data reconstruction
And preserved.
Thus, in solving prior art, space acquisition of information error rate is high, inefficiency, it is impossible to meet user's request
Problem.Realize raising spatial information and obtain accuracy rate, improve spatial information and obtain efficiency, meet user's request.
Description of the drawings
Fig. 1 is the schematic flow sheet of spatial information acquisition methods first embodiment of the present invention；
Fig. 2 is the schematic flow sheet of spatial information acquisition methods second embodiment of the present invention；
Fig. 3 is that, according to the parameter needed in the Mathematical Modeling in the embodiment of the present invention, control sensor carries out multidimensional and catches
A kind of schematic flow sheet of the step of catching operation, acquisition corresponding spatial information data；
Fig. 4 is, according to the Mathematical Modeling, to carry out data reconstruction to the spatial information data, obtain in the embodiment of the present invention
Spatial information data to after data reconstruction a kind of schematic flow sheet the step of preserved；
Fig. 5 is the high-level schematic functional block diagram of spatial information acquisition device first embodiment of the present invention；
Fig. 6 is the high-level schematic functional block diagram of spatial information acquisition device second embodiment of the present invention；
Fig. 7 is the high-level schematic functional block diagram of acquisition module in the embodiment of the present invention；
Fig. 8 is the high-level schematic functional block diagram of preserving module in the embodiment of the present invention..
The realization of the object of the invention, functional characteristics and advantage will be described further in conjunction with the embodiments referring to the drawings.
Specific embodiment
It should be appreciated that specific embodiment described herein is not intended to limit the present invention only to explain the present invention.
The primary solutions of the embodiment of the present invention are：The mode selection command that receive user end sends, recognition mode choosing
Select the corresponding pattern of instruction；Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting；According to mathematical modulo
The parameter needed in type, control sensor carry out multidimensional capture operation, obtain corresponding spatial information data；According to mathematical modulo
Type, carries out data reconstruction to spatial information data, obtains the spatial information data after data reconstruction and is preserved.
Thus, in solving prior art, space acquisition of information error rate is high, inefficiency, it is impossible to meet user's request
Problem.Realize raising spatial information and obtain accuracy rate, improve spatial information and obtain efficiency, meet user's request.
As shown in figure 1, first embodiment of the invention proposes a kind of spatial information acquisition methods, including：
Step S10, the mode selection command that receive user end sends recognize the corresponding pattern of the mode selection command.
The executive agent of the inventive method can be that a kind of spatial information getter or spatial information obtain equipment, this enforcement
Example is illustrated with spatial information getter, is also not limited to certainly other and can realize obtaining the device of spatial information and set
It is standby.
Specifically, the mode selection command that spatial information getter receive user end sends, recognition mode selection instruction pair
The pattern answered.
Wherein, the mode selection command that spatial information getter receive user end sends can include：3D pattern analysis moulds
Formula selection instruction, geospatial analysis mode selection command, Geophysical Analysis mode selection command, hydrological science analytical model
Selection instruction etc., then, spatial information getter obtains corresponding 3D pattern analysis mould according to above-mentioned mode selection command, identification
Formula, geospatial analysis pattern, Geophysical Analysis pattern, hydrological science analytical model.
Step S20, matches Mathematical Modeling corresponding with the pattern in the model database for pre-setting.
Specifically, the mode selection command for sending at receive user end, it is after the corresponding pattern of recognition mode selection instruction, empty
Between information acquirer Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting.
Wherein, spatial information getter successfully identification obtain above-mentioned 3D pattern analysis pattern, geospatial analysis pattern,
After Geophysical Analysis pattern, hydrological science analytical model, according to different patterns, matching and pattern pair from model database
The Mathematical Modeling answered, above-mentioned model database preserve various Mathematical Modelings, including：Data Mathematical Modeling, topology model
And network Model.
Wherein, when implementing, when identification obtains 3D pattern analysis patterns, then matching obtains data Mathematical Modeling；
When identification obtains geospatial analysis pattern, then matching obtains data Mathematical Modeling and topology model；When identification is obtained
During Geophysical Analysis pattern, then matching obtains topology model and network Model；When identification obtains geophysics point
During analysis pattern, then matching obtains data Mathematical Modeling and topology model etc..
Step S30, according to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains
Corresponding spatial information data.
Specifically, after Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting, spatial information
Getter carries out multidimensional capture operation, obtains corresponding spatial information according to the parameter needed in Mathematical Modeling, control sensor
Data.
Wherein, when implementing, spatial information getter recognizes the vacancy parameter in Mathematical Modeling first, then, control
Sensor processed carries out multidimensional capture operation, obtains vacancy parameter, is modeled operation according to vacancy parameter logistic model, obtains
Corresponding spatial information data.
Wherein, spatial information getter can pass through sensor first when control sensor carries out multidimensional capture operation
Identification space environment, then according to the vacancy parameter in Mathematical Modeling, optionally carries out two dimension or three-dimensional to the space environment
Capture operation, such as：When vacancy parameter in Mathematical Modeling is selected is X parameter and Y parameter, then sensor is to the space environment
Two-dimentional capture operation is carried out, corresponding XY parameters are caught；When vacancy parameter in Mathematical Modeling is selected is X parameter and Z parameter,
Then sensor carries out two-dimentional capture operation to the space environment, catches corresponding XZ parameters；Vacancy in Mathematical Modeling is selected
When parameter is Y parameter and Z parameter, then sensor carries out two-dimentional capture operation to the space environment, catches corresponding YZ parameters；When
When to select the vacancy parameter in Mathematical Modeling be X parameter, Y parameter and Z parameter, then sensor carries out three-dimensional to the space environment and catches
Operation is caught, corresponding XYZ parameters are caught.
Wherein, multidimensional capture operation is completed, after obtaining vacancy parameter, spatial information getter is modeled operation, will
The vacancy parameter for obtaining is substituted in corresponding Mathematical Modeling, and the complete Mathematical Modeling is calculated, and obtains corresponding sky
Between information data.
Step S40, according to the Mathematical Modeling, carries out data reconstruction to the spatial information data, obtains data reconstruction
Rear spatial information data is simultaneously preserved.
Specifically, according to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains correspondence
Spatial information data after, spatial information getter carries out data reconstruction to spatial information data, is counted according to Mathematical Modeling
According to the spatial information data after reconstruct and preserved.
Wherein, when implementing, data reconstruction can be carried out to spatial information data, is made first according to Mathematical Modeling
Spatial information data is converted into meeting Mathematical Modeling another kind geometric shape, obtains the spatial information data after data reconstruction；So
The spatial information data after data reconstruction is preserved afterwards.
Wherein, data reconstruction is carried out to spatial information data according to Mathematical Modeling, spatial data can be made from a kind of geometry
To another kind of geometric shape, the transfer process can include that structure conversion, form conversion, type are replaced etc., that is, count to Morphological Transitions
According to splicing, data cutting, data compression etc., to realize unification of the spatial information data in structure, form, type, and realize
The connection of multi-source and isomeric data and fusion.
By such scheme, the invention provides a kind of spatial information acquisition methods, solve space letter in prior art
Breath obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accuracy rate,
Improve spatial information and obtain efficiency, meet user's request.
As shown in Fig. 2 second embodiment of the invention proposes a kind of spatial information acquisition methods, in above-mentioned first embodiment
Before step S10, also include：
Step S50, control sensor carry out image pre-captured, obtain corresponding image data.
Specifically, spatial information getter control sensor carries out image pre-captured, obtains corresponding image data.
Wherein, image pre-captured operation is easy to subsequently carry out mode selecting operation.
Step S60, matching multiple patterns corresponding with the image data, the plurality of pattern of transmission to user side, by
The user side carries out mode selecting operation.
Specifically, image pre-captured is carried out in control sensor, after obtaining corresponding image data, spatial information getter
Matching multiple patterns corresponding with image data, send multiple patterns to user side, carry out mode selecting operation by user side.
Wherein, spatial information getter extracts depth of field parameter in the image data, space coordinate parameters etc., according to the scape
The parameters such as deep parameter, space coordinate parameters, match corresponding multiple patterns, that is, realize one or several use are intelligently pre-selected
The pattern that family may select, user-friendly operation.
By such scheme, the invention provides a kind of spatial information acquisition methods, preferably solve in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
Further, accuracy rate and efficiency are obtained in order to preferably improve spatial information, with reference to Fig. 3, is of the invention concrete
According to the parameter needed in Mathematical Modeling in embodiment, control sensor carries out multidimensional capture operation, obtains corresponding space
A kind of schematic flow sheet of the step of information data.
Used as a kind of embodiment, above-mentioned steps S30 include：
Step S31, recognizes the vacancy parameter in the Mathematical Modeling.
Specifically, after Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting, spatial information
Vacancy parameter in getter identification Mathematical Modeling.
Step S32, control sensor carry out multidimensional capture operation, obtain the vacancy parameter.
Specifically, after the vacancy parameter in identification Mathematical Modeling, spatial information getter control sensor carries out multidimensional
Capture operation, obtains vacancy parameter.
Wherein, spatial information getter can pass through sensor first when control sensor carries out multidimensional capture operation
Identification space environment, then according to the vacancy parameter in Mathematical Modeling, optionally carries out two dimension or three-dimensional to the space environment
Capture operation, such as：When vacancy parameter in Mathematical Modeling is selected is X parameter and Y parameter, then sensor is to the space environment
Two-dimentional capture operation is carried out, corresponding XY parameters are caught；When vacancy parameter in Mathematical Modeling is selected is X parameter and Z parameter,
Then sensor carries out two-dimentional capture operation to the space environment, catches corresponding XZ parameters；Vacancy in Mathematical Modeling is selected
When parameter is Y parameter and Z parameter, then sensor carries out two-dimentional capture operation to the space environment, catches corresponding YZ parameters；When
When to select the vacancy parameter in Mathematical Modeling be X parameter, Y parameter and Z parameter, then sensor carries out three-dimensional to the space environment and catches
Operation is caught, corresponding XYZ parameters are caught.
Step S33, is modeled operation to the Mathematical Modeling according to the vacancy parameter, obtains corresponding spatial information
Data.
Specifically, multidimensional capture operation is carried out in control sensor, after obtaining the vacancy parameter, according to vacancy parameter pair
Mathematical Modeling is modeled operation, obtains corresponding spatial information data.
Wherein, multidimensional capture operation is completed, after obtaining vacancy parameter, spatial information getter is modeled operation, will
The vacancy parameter for obtaining is substituted in corresponding Mathematical Modeling, and the complete Mathematical Modeling is calculated, and obtains corresponding sky
Between information data.
By such scheme, the invention provides a kind of spatial information acquisition methods, preferably solve in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
Further, accuracy rate and efficiency are obtained in order to preferably improve spatial information, with reference to Fig. 8, is of the invention concrete
According to the Mathematical Modeling in embodiment, data reconstruction is carried out to the spatial information data, obtain the sky after data reconstruction
Between information data a kind of schematic flow sheet the step of preserved.
Used as a kind of embodiment, above-mentioned steps S40 include：
Step S41, according to the Mathematical Modeling, carries out data reconstruction to the spatial information data, makes the space letter
Breath data conversion obtains the spatial information data after data reconstruction into the Mathematical Modeling another kind geometric shape is met.
Specifically, according to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains correspondence
Spatial information data after, spatial information getter carries out data reconstruction to spatial information data, makes space according to Mathematical Modeling
Information data is converted into meeting Mathematical Modeling another kind geometric shape, obtains the spatial information data after data reconstruction.
Wherein, when implementing, data reconstruction can be carried out to spatial information data, is made first according to Mathematical Modeling
Spatial information data is converted into meeting Mathematical Modeling another kind geometric shape, obtains the spatial information data after data reconstruction；So
The spatial information data after data reconstruction is preserved afterwards.
Wherein, data reconstruction is carried out to spatial information data according to Mathematical Modeling, spatial data can be made from a kind of geometry
To another kind of geometric shape, the transfer process can include that structure conversion, form conversion, type are replaced etc., that is, count to Morphological Transitions
According to splicing, data cutting, data compression etc., to realize unification of the spatial information data in structure, form, type, and realize
The connection of multi-source and isomeric data and fusion.
Step S42, preserves the spatial information data after the data reconstruction.
Specifically, according to Mathematical Modeling, data reconstruction is carried out to spatial information data, is converted into spatial information data
Meet Mathematical Modeling another kind geometric shape, after obtaining the spatial information data after data reconstruction, spatial information getter is preserved
Spatial information data after data reconstruction.
By such scheme, the invention provides a kind of spatial information acquisition methods, preferably solve in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
Based on the realization of above-mentioned spatial information acquisition methods embodiment, the present invention also provides corresponding device embodiment.
As shown in figure 5, first embodiment of the invention proposes a kind of spatial information acquisition device, including：
Identification module 100, for the mode selection command that receive user end sends, recognizes the mode selection command correspondence
Pattern.
Specifically, the mode selection command that 100 receive user end of identification module sends, recognition mode selection instruction are corresponding
Pattern.
Wherein, the mode selection command that 100 receive user end of identification module sends can include：3D pattern analysis pattern is selected
Select instruction, geospatial analysis mode selection command, Geophysical Analysis mode selection command, the selection of hydrological science analytical model
Instruction etc., then, spatial information getter according to above-mentioned mode selection command, identification obtain corresponding 3D pattern analysis pattern,
Geospatial analysis pattern, Geophysical Analysis pattern, hydrological science analytical model.
Matching module 200, for Mathematical Modeling corresponding with the pattern is matched in the model database for pre-setting.
Specifically, the mode selection command for sending at receive user end, after the corresponding pattern of recognition mode selection instruction,
Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting with module 200.
Wherein, matching module 200 successfully identification obtain above-mentioned 3D pattern analysis pattern, geospatial analysis pattern,
After ball physical analysis pattern, hydrological science analytical model, according to different patterns, match from model database corresponding with pattern
Mathematical Modeling, above-mentioned model database preserves various Mathematical Modelings, including：Data Mathematical Modeling, topology model and
Network Model.
Wherein, when implementing, when identification obtains 3D pattern analysis patterns, then matching obtains data Mathematical Modeling；
When identification obtains geospatial analysis pattern, then matching obtains data Mathematical Modeling and topology model；When identification is obtained
During Geophysical Analysis pattern, then matching obtains topology model and network Model；When identification obtains geophysics point
During analysis pattern, then matching obtains data Mathematical Modeling and topology model etc..
Acquisition module 300, for according to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional and catches behaviour
Make, obtain corresponding spatial information data.
Specifically, after Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting, acquisition module
300 carry out multidimensional capture operation, obtain corresponding spatial information number according to the parameter needed in Mathematical Modeling, control sensor
According to.
Wherein, when implementing, acquisition module 300 recognizes the vacancy parameter in Mathematical Modeling first, and then, control is passed
Sensor carries out multidimensional capture operation, obtains vacancy parameter, is modeled operation according to vacancy parameter logistic model, obtains correspondence
Spatial information data.
Wherein, acquisition module 300 can be recognized by sensor first when control sensor carries out multidimensional capture operation
Space environment, then according to the vacancy parameter in Mathematical Modeling, optionally carries out two dimension or three-dimensional seizure to the space environment
Operation, such as：When vacancy parameter in Mathematical Modeling is selected is X parameter and Y parameter, then sensor is carried out to the space environment
Two-dimentional capture operation, catches corresponding XY parameters；When vacancy parameter in Mathematical Modeling is selected is X parameter and Z parameter, then pass
Sensor carries out two-dimentional capture operation to the space environment, catches corresponding XZ parameters；Vacancy parameter in Mathematical Modeling is selected
For Y parameter and Z parameter when, then sensor carries out two-dimentional capture operation to the space environment, catches corresponding YZ parameters；Work as selection
When vacancy parameter in Mathematical Modeling is X parameter, Y parameter and Z parameter, then sensor carries out three-dimensional seizure behaviour to the space environment
Make, catch corresponding XYZ parameters.
Wherein, multidimensional capture operation is completed, after obtaining vacancy parameter, acquisition module 300 is modeled operation, will obtain
Vacancy parameter substitute in corresponding Mathematical Modeling, and the complete Mathematical Modeling is calculated, obtains corresponding space letter
Breath data.
Preserving module 400, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, obtaining
Spatial information data after data reconstruction is simultaneously preserved.
Specifically, according to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains correspondence
Spatial information data after, preserving module 400 carries out data reconstruction to spatial information data, obtains data according to Mathematical Modeling
Spatial information data after reconstruct is simultaneously preserved.
Wherein, when implementing, data reconstruction can be carried out to spatial information data, is made first according to Mathematical Modeling
Spatial information data is converted into meeting Mathematical Modeling another kind geometric shape, obtains the spatial information data after data reconstruction；So
The spatial information data after data reconstruction is preserved afterwards.
Wherein, data reconstruction is carried out to spatial information data according to Mathematical Modeling, spatial data can be made from a kind of geometry
To another kind of geometric shape, the transfer process can include that structure conversion, form conversion, type are replaced etc., that is, count to Morphological Transitions
According to splicing, data cutting, data compression etc., to realize unification of the spatial information data in structure, form, type, and realize
The connection of multi-source and isomeric data and fusion.
By such scheme, the invention provides a kind of spatial information acquisition device, solves space letter in prior art
Breath obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accuracy rate,
Improve spatial information and obtain efficiency, meet user's request.
As shown in fig. 6, second embodiment of the invention proposes a kind of spatial information acquisition device, in above-mentioned first embodiment
On the basis of, the device also includes：
Pre-captured module 500, carries out image pre-captured for controlling sensor, obtains corresponding image data.
Specifically, the control of pre-captured module 500 sensor carries out image pre-captured, obtains corresponding image data.
Wherein, image pre-captured operation is easy to subsequently carry out mode selecting operation.
Pre-matching module 600, for matching multiple patterns corresponding with the image data, sends the plurality of pattern extremely
User side, carries out mode selecting operation by the user side.
Specifically, image pre-captured is carried out in control sensor, after obtaining corresponding image data, pre-matching module 600
Matching multiple patterns corresponding with image data, send multiple patterns to user side, carry out mode selecting operation by user side.
Wherein, pre-matching module 600 extracts depth of field parameter in the image data, space coordinate parameters etc., according to the scape
The parameters such as deep parameter, space coordinate parameters, match corresponding multiple patterns, that is, realize one or several use are intelligently pre-selected
The pattern that family may select, user-friendly operation.
By such scheme, the invention provides a kind of spatial information acquisition device, preferably solves in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
Further, accuracy rate and efficiency are obtained in order to preferably improve spatial information, with reference to Fig. 7, is of the invention concrete
The modular structure schematic diagram of acquisition module 300 in embodiment.
Used as a kind of embodiment, above-mentioned acquisition module 300 includes：
Recognition unit 310, for recognizing the vacancy parameter in the Mathematical Modeling.
Specifically, after Mathematical Modeling corresponding with pattern is matched in the model database for pre-setting, recognition unit
Vacancy parameter in 310 identification Mathematical Modelings.
Capture unit 320, carries out multidimensional capture operation for controlling sensor, obtains the vacancy parameter.
Specifically, after the vacancy parameter in identification Mathematical Modeling, the control sensor of capture unit 320 carries out multidimensional seizure
Operation, obtains vacancy parameter.
Wherein, capture unit 320 can be recognized by sensor first when control sensor carries out multidimensional capture operation
Space environment, then according to the vacancy parameter in Mathematical Modeling, optionally carries out two dimension or three-dimensional seizure to the space environment
Operation, such as：When vacancy parameter in Mathematical Modeling is selected is X parameter and Y parameter, then sensor is carried out to the space environment
Two-dimentional capture operation, catches corresponding XY parameters；When vacancy parameter in Mathematical Modeling is selected is X parameter and Z parameter, then pass
Sensor carries out two-dimentional capture operation to the space environment, catches corresponding XZ parameters；Vacancy parameter in Mathematical Modeling is selected
For Y parameter and Z parameter when, then sensor carries out two-dimentional capture operation to the space environment, catches corresponding YZ parameters；Work as selection
When vacancy parameter in Mathematical Modeling is X parameter, Y parameter and Z parameter, then sensor carries out three-dimensional seizure behaviour to the space environment
Make, catch corresponding XYZ parameters.
Modeling unit 330, for being modeled operation to the Mathematical Modeling according to the vacancy parameter, obtains corresponding
Spatial information data.
Specifically, multidimensional capture operation is carried out in control sensor, after obtaining the vacancy parameter, modeling unit 330
Operation is modeled according to vacancy parameter logistic model, corresponding spatial information data is obtained.
Wherein, multidimensional capture operation is completed, after obtaining vacancy parameter, modeling unit 330 is modeled operation, will obtain
Vacancy parameter substitute in corresponding Mathematical Modeling, and the complete Mathematical Modeling is calculated, obtains corresponding space letter
Breath data.
By such scheme, the invention provides a kind of spatial information acquisition device, preferably solves in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
Further, accuracy rate and efficiency are obtained in order to preferably improve spatial information, with reference to Fig. 4, is of the invention concrete
400 modular structure schematic diagram of preserving module in embodiment.
Used as a kind of embodiment, above-mentioned preserving module 400 includes：
Reconfiguration unit 410, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, makes institute
State spatial information data to be converted into meeting the Mathematical Modeling another kind geometric shape, obtain the spatial information number after data reconstruction
According to.
Specifically, according to the parameter needed in Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains correspondence
Spatial information data after, reconfiguration unit 410 carries out data reconstruction to spatial information data according to Mathematical Modeling, believes space
Breath data conversion obtains the spatial information data after data reconstruction into Mathematical Modeling another kind geometric shape is met.
Wherein, when implementing, data reconstruction can be carried out to spatial information data, is made first according to Mathematical Modeling
Spatial information data is converted into meeting Mathematical Modeling another kind geometric shape, obtains the spatial information data after data reconstruction；So
The spatial information data after data reconstruction is preserved afterwards.
Wherein, data reconstruction is carried out to spatial information data according to Mathematical Modeling, spatial data can be made from a kind of geometry
To another kind of geometric shape, the transfer process can include that structure conversion, form conversion, type are replaced etc., that is, count to Morphological Transitions
According to splicing, data cutting, data compression etc., to realize unification of the spatial information data in structure, form, type, and realize
The connection of multi-source and isomeric data and fusion.
Storage unit 420, for preserving the spatial information data after the data reconstruction.
Specifically, according to Mathematical Modeling, data reconstruction is carried out to spatial information data, is converted into spatial information data
Meet Mathematical Modeling another kind geometric shape, after obtaining the spatial information data after data reconstruction, spatial information getter is preserved
Spatial information data after data reconstruction.
By such scheme, the invention provides a kind of spatial information acquisition device, preferably solves in prior art
Spatial information obtains error rate height, inefficiency, it is impossible to meet the problem of user's request.Realize raising spatial information and obtain accurate
Really rate, improves spatial information and obtains efficiency, meet user's request.
The preferred embodiments of the present invention are these are only, the scope of the claims of the present invention is not thereby limited, it is every using this
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of spatial information acquisition methods, it is characterised in that methods described includes：
The mode selection command that receive user end sends, recognizes the corresponding pattern of the mode selection command；
Mathematical Modeling corresponding with the pattern is matched in the model database for pre-setting；
According to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains corresponding space letter
Breath data；
According to the Mathematical Modeling, data reconstruction is carried out to the spatial information data, obtain the spatial information after data reconstruction
Data are simultaneously preserved.
2. spatial information acquisition methods according to claim 1, it is characterised in that the pattern that the receive user sends refers to
Order, the step of recognize the mode instruction corresponding pattern before, also include：
Control sensor carries out image pre-captured, obtains corresponding image data；
Matching multiple patterns corresponding with the image data, send the plurality of pattern to user side, are entered by the user side
Row mode selection operation.
3. spatial information acquisition methods according to claim 2, it is characterised in that described according to need in the Mathematical Modeling
The parameter wanted, controlling the step of sensor carries out multidimensional capture operation, acquisition corresponding spatial information data includes：
Recognize the vacancy parameter in the Mathematical Modeling；
Control sensor carries out multidimensional capture operation, obtains the vacancy parameter；
Operation is modeled to the Mathematical Modeling according to the vacancy parameter, corresponding spatial information data is obtained.
4. spatial information acquisition methods according to claim 3, it is characterised in that described according to the Mathematical Modeling, it is right
The spatial information data carries out data reconstruction, wraps the step of obtain the spatial information data after data reconstruction and preserved
Include：
According to the Mathematical Modeling, data reconstruction is carried out to the spatial information data, be converted into the spatial information data
Meet the Mathematical Modeling another kind geometric shape, obtain the spatial information data after data reconstruction；
Preserve the spatial information data after the data reconstruction.
5. spatial information acquisition methods according to any one of claim 1-4, it is characterised in that the Mathematical Modeling bag
Include：Data Mathematical Modeling, topology model and network Model.
6. a kind of spatial information acquisition device, it is characterised in that described device includes：
Identification module, for the mode selection command that receive user end sends, recognizes the corresponding pattern of the mode selection command；
Matching module, for Mathematical Modeling corresponding with the pattern is matched in the model database for pre-setting；
Acquisition module, for according to the parameter needed in the Mathematical Modeling, control sensor carries out multidimensional capture operation, obtains
Corresponding spatial information data；
Preserving module, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, obtaining data reconstruction
Rear spatial information data is simultaneously preserved.
7. spatial information acquisition device according to claim 6, it is characterised in that described device also includes：
Pre-captured module, carries out image pre-captured for controlling sensor, obtains corresponding image data；
Pre-matching module, for matching multiple patterns corresponding with the image data, sends the plurality of pattern to user side,
Mode selecting operation is carried out by the user side.
8. spatial information acquisition device according to claim 7, it is characterised in that the acquisition module includes：
Recognition unit, for recognizing the vacancy parameter in the Mathematical Modeling；
Capture unit, carries out multidimensional capture operation for controlling sensor, obtains the vacancy parameter；
Modeling unit, for being modeled operation to the Mathematical Modeling according to the vacancy parameter, obtains corresponding space letter
Breath data.
9. spatial information acquisition device according to claim 8, it is characterised in that the preserving module includes：
Reconfiguration unit, for according to the Mathematical Modeling, carrying out data reconstruction to the spatial information data, makes the space letter
Breath data conversion obtains the spatial information data after data reconstruction into the Mathematical Modeling another kind geometric shape is met；
Storage unit, for preserving the spatial information data after the data reconstruction.
10. the spatial information acquisition device according to any one of claim 6-9, it is characterised in that the Mathematical Modeling
Including：Data Mathematical Modeling, topology model and network Model.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040207652A1 (en) * | 2003-04-16 | 2004-10-21 | Massachusetts Institute Of Technology | Methods and apparatus for visualizing volumetric data using deformable physical object |
| CN101110079A (en) * | 2007-06-27 | 2008-01-23 | 中国科学院遥感应用研究所 | Digital globe antetype system |
| CN201828915U (en) * | 2010-06-30 | 2011-05-11 | 李立明 | Spatial information monitoring system |
| CN102449990A (en) * | 2009-05-26 | 2012-05-09 | 苹果公司 | Space & time based device customization |
| CN104574386A (en) * | 2014-12-26 | 2015-04-29 | 速感科技（北京）有限公司 | Indoor positioning method based on three-dimensional environment model matching |
| CN104596588A (en) * | 2015-02-04 | 2015-05-06 | 测绘遥感信息工程国家重点实验室深圳研发中心 | Environmental status time-space model generation method and system based on digital measurable images |
| CN104933607A (en) * | 2015-05-27 | 2015-09-23 | 中国科学院遥感与数字地球研究所 | Satellite remote sensing data order service system |
| CN105069231A (en) * | 2015-08-11 | 2015-11-18 | 珠海格力电器股份有限公司 | Intensive heat-supply pipe network layout method and system |
| WO2016095050A1 (en) * | 2014-12-18 | 2016-06-23 | Innerspace Technology Inc. | Method and system for sensing interior spaces to auto-generate a navigational map |
| CN105868533A (en) * | 2016-03-23 | 2016-08-17 | 四川理工学院 | River basin water environment integrated perception and application method based on Internet of Things and 3S technology |
-
2016
- 2016-11-03 CN CN201610959224.4A patent/CN106558101A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040207652A1 (en) * | 2003-04-16 | 2004-10-21 | Massachusetts Institute Of Technology | Methods and apparatus for visualizing volumetric data using deformable physical object |
| CN101110079A (en) * | 2007-06-27 | 2008-01-23 | 中国科学院遥感应用研究所 | Digital globe antetype system |
| CN102449990A (en) * | 2009-05-26 | 2012-05-09 | 苹果公司 | Space & time based device customization |
| CN201828915U (en) * | 2010-06-30 | 2011-05-11 | 李立明 | Spatial information monitoring system |
| WO2016095050A1 (en) * | 2014-12-18 | 2016-06-23 | Innerspace Technology Inc. | Method and system for sensing interior spaces to auto-generate a navigational map |
| CN104574386A (en) * | 2014-12-26 | 2015-04-29 | 速感科技（北京）有限公司 | Indoor positioning method based on three-dimensional environment model matching |
| CN104596588A (en) * | 2015-02-04 | 2015-05-06 | 测绘遥感信息工程国家重点实验室深圳研发中心 | Environmental status time-space model generation method and system based on digital measurable images |
| CN104933607A (en) * | 2015-05-27 | 2015-09-23 | 中国科学院遥感与数字地球研究所 | Satellite remote sensing data order service system |
| CN105069231A (en) * | 2015-08-11 | 2015-11-18 | 珠海格力电器股份有限公司 | Intensive heat-supply pipe network layout method and system |
| CN105868533A (en) * | 2016-03-23 | 2016-08-17 | 四川理工学院 | River basin water environment integrated perception and application method based on Internet of Things and 3S technology |
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