CN108286974A - The intelligent processing method and device and hybrid navigation system of field data acquisition data - Google Patents
The intelligent processing method and device and hybrid navigation system of field data acquisition data Download PDFInfo
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- CN108286974A CN108286974A CN201710014280.5A CN201710014280A CN108286974A CN 108286974 A CN108286974 A CN 108286974A CN 201710014280 A CN201710014280 A CN 201710014280A CN 108286974 A CN108286974 A CN 108286974A
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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
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
- G01C21/32—Structuring or formatting of map data
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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
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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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 invention discloses a kind of intelligent processing methods of field data acquisition data and device and hybrid navigation system, wherein this method includes：Live atural object data variation record is obtained, automatic business processing program is triggered；It reads and identifies that the data variation record, the classification recorded according to the data variation judge whether the data variation record meets the condition of automatic business processing, extraction respectively meets the data variation record of automatic business processing condition；The automatic business processing mode for being directed to different classes of setting in advance, the data variation record of alignment processing respective classes and its corresponding map datum are called, corresponding road data is obtained；The class label correspondence that the data variation records is assigned to road data be calculated, generates road network data.Therefore it can solve the problems, such as that map producing repeats operation by implementing the present invention, avoid artificial omission and mistake, data quality is effectively ensured, while improving production efficiency, saves personnel cost.
Description
Technical field
The present invention relates to technical field of geographic information, more particularly to a kind of the intelligent processing method and dress of field data acquisition data
It sets and hybrid navigation system.
Background technology
Currently, in map datum production-data inputting link, existing typing link is divided into two big stages：
First stage, outdoor workers are recorded the variation of live atural object by field observation in the form of Tips,
The result of these records is fed back into surveyor later；
Second stage, surveyor is with reference to the variation recorded in Tips, by the atural object at scene by way of human-computer interaction
Variation is converted to map datum.
The purpose of entire Input Process is exactly that the variation of live atural object is converted into map datum, but for the every of scene
One variation, after manual operation twice, can just be embodied in map datum；
The inventors found that：It is existing that there is deficiency below：
1, operation is repeated.The variation of live atural object, outdoor workers have carried out record operation, have actually been similar to one kind
The process of data creating returns to after interior industry, and the achievement of on-the-spot record does not utilize directly, and is intended only as the ginseng edited again
It examines, by the identification translation and human-computer interaction of surveyor, by these scenes, variation is embodied into map datum；In whole process
Manual operation twice, i.e. on-the-spot record and the secondary typing of interior industry are carried out to same target, there are redundancy processes, can expend more
More resources of production.
2, risk of errors increases.The editor of surveyor is on the basis of understanding and identifying the record result of outdoor workers
It carries out, have passed through secondary translation, due to the difference of personnel and understanding mode, number is being generated with reference to field note achievement editor
During, mistake is difficult to avoid that, can not accomplish the expression by field data acquisition achievement entirely accurate in map datum,
By the secondary operation of surveyor, the risk of errors and omissions is increased.
3, efficiency is low, of high cost.The mode of surveyor by visual observation reads the information recorded in Tips one by one, is passing through
Human-computer interaction is write into map datum, this process is more demanding to the ability and qualification of operating personnel, personnel itself
Production efficiency be also limited, this efficiency far can not meet requirement of the current map data to freshness；Meanwhile it is existing
The variable quantity in the real world is very big, all to be embodied these variations into map datum by manual operation, it is necessary to a large amount of
Personnel put into, and pay higher personnel cost.
Invention content
In view of this, the present invention proposes intelligent processing method and device and the hybrid navigation of a kind of field data acquisition data
System, can solve the problems, such as map producing repeat operation, effectively improve data quality and production efficiency, and save personnel at
This.
Wherein, a kind of intelligent processing method of field data acquisition data of disclosure of the invention includes：
Live atural object data variation record is obtained, automatic business processing program is triggered；
It reads and identifies that the data variation record, the classification recorded according to the data variation judge the data variation
Whether record meets the condition of automatic business processing, and extraction respectively meets the data variation record of automatic business processing condition；
Call the automatic business processing mode for being directed to different classes of setting in advance, the data variation note of alignment processing respective classes
Record and its corresponding map datum, obtain corresponding road data；
The class label correspondence that the data variation records is assigned to road data be calculated, generates road network
Data.
In addition, a kind of intelligent treatment device of field data acquisition data of disclosure of the invention includes：
Trigger module, for recording triggering automatic business processing program according to the live atural object data variation of acquisition；
Extraction module, for reading and identifying that the data variation record, the classification recorded according to the data variation are sentenced
Whether the disconnected data variation record meets the condition of automatic business processing, and extraction respectively meets the data change of automatic business processing condition
Change record；
Computing module, for calling the automatic business processing mode for being directed to different classes of setting in advance, alignment processing respective class
Other data variation record and its corresponding map datum, obtain corresponding road data；
Assignment module, the class label correspondence for recording the data variation are assigned to road way be calculated
According to generation road network data.
In addition, a kind of hybrid navigation system provided by the invention includes：
Data module, for storing and updating electronic map data, which is any of the above-described relevant skill
The intelligent treatment device of field data acquisition data described in art scheme treated data in navigation electronic map；
Search module, for executing search operation according to user instruction and exporting search result；
Navigation module, for providing two-dimensional/three-dimensional path planning and navigation Service to the user according to obtained navigation instruction；
Entertainment modules, for providing game, music and other audio-visual entertainment selections；
Communication module, for obtaining newer map datum, dynamic information, one-to-one or group voice/video
Communication；
Information entry module, the instruction being manually entered by touch screen or button for receiving user；
Intelligent sound interactive module instructs for receiving user speech, carries out voice wake-up and voice control, and is used for
Voice output executes the result of the user speech instruction；
Analysis module carries out speech recognition, lexical analysis and instruction conversion for being instructed to the user speech, and is used for
Corresponding module is notified to execute the user speech instruction identified；Wherein, the user speech instruction is appointing for arbitrary languages
It anticipates a kind of expression of sentence pattern；
Display module, the search result provided for showing described search module, the navigation road that the navigation module provides
The dynamic information that the map datum and the communication module that diameter, the data module provide provide, using voice, two
Dimension/three-dimensional diagram, and/or the mode of word are shown；
Interest drives operating system, for providing running environment and support for above-mentioned each module；
Sensor-based system drives operating system for the interest and provides dynamic letter in real time for monitoring vehicle-state and traffic information
Breath.
Compared with the existing technology, the present invention has the following advantages：
Invention is converted into map datum by the scene variation for recording outdoor workers by program calculating, needs not move through
The secondary operation of surveyor solves the problems, such as that map producing repeats operation.Also, the present invention calculates conversion number by program
According to production efficiency is operated higher than personnel, improves production efficiency, saves personnel cost, is reduced the artificial intervention of interior industry, is avoided artificial
Omission and mistake, data quality is effectively ensured.
The more features and advantage of the embodiment of the present invention will be explained in specific implementation mode later.
Description of the drawings
The attached drawing for constituting a part of the embodiment of the present invention is used for providing further understanding the embodiment of the present invention, the present invention
Illustrative embodiments and their description for explaining the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings：
Fig. 1 is the flow diagram of the intelligent processing method of field data acquisition data provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of the intelligent processing method of field data acquisition data provided in an embodiment of the present invention；
Fig. 3 is the flow diagram of the intelligent processing method of field data acquisition data provided in an embodiment of the present invention；
Fig. 4 is the automation process schematic diagram of vehicle letter data provided in an embodiment of the present invention；
Fig. 5 is the schematic diagram that coordinate and position coordinates are guided in the embodiment of the present invention；
Fig. 6 is the composition frame chart of hybrid navigation system provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in the embodiment of the present invention and embodiment can be mutual group
It closes.
After field data acquisition achievement is submitted, triggering automation typing, classification logotype and corresponding class of the program according to Tips
Type Tips needs the condition met identification object Tips, after identifying object, carries out object select, and determines whether automatic
The object Tips of typing, if object Tips does not meet set sequence or principle, object Tips is not handled.
Data conversion is carried out for result of calculation, if data conversion success, generates map datum；If data conversion
Failure, then the Tips is not handled.
Meet the Tips of automation typing condition in automating Input Process, it is successful that this part Tips executes automation
Then it is converted into map datum；Be unsatisfactory for the Tips of automation condition or meet automation condition, but due to program calculate by
Resistance does not automate successfully, this part Tips is not converted into data, keeps original acquisition achievement constant, follow-up link is artificial
Alignment processing.
Below in conjunction with the accompanying drawings, various embodiments of the present invention are described further：
Embodiment of the method
After the completion of realizing outdoor workers acquisition, map datum automates input database while submitting acquisition achievement
In, working efficiency is improved, the present embodiment proposes a kind of method for map datum automation typing, and this method includes following step
Suddenly：
Referring to Fig.1, it is that a kind of flow of the intelligent processing method of field data acquisition data disclosed by the embodiments of the present invention is shown
It is intended to, this method includes：
S100：Live atural object data variation record is obtained, automatic business processing program is triggered；
S102：It reads and identifies that the data variation record, the classification recorded according to the data variation judge the number
Whether meet the condition of automatic business processing according to variation record, extraction respectively meets the data variation record of automatic business processing condition；
S104：Call the automatic business processing mode for being directed to different classes of setting in advance, the data of alignment processing respective classes
Variation record and its corresponding map datum, obtain corresponding road data；
The class label correspondence that the data variation records is assigned to road data be calculated, generates road by S106
Road road net data.
In the present embodiment, by the live delta data of outdoor workers record by the above-mentioned method automatically processed, it is converted into
Map datum needs not move through the secondary operation of surveyor, reduces the artificial intervention of interior industry, avoid artificial omission and
Data quality is effectively ensured in mistake.Also, carry out data calculating conversion by automatically processing program so that the production of map is imitated
Rate is operated higher than personnel, is significantly improved, is saved personnel cost, and solves the problems, such as that map producing repeats operation.
As an alternative embodiment, being based on above-described embodiment, this method further includes：
S108：According to the road network data, map datum is updated, and updates the data variation record
State；
S110：Newer map datum is stored into the electronic map database built in advance.
In the present embodiment, is stored to the electronic map database built in advance by newer map datum, can make ground
Diagram data is quickly updated, while the production efficiency of map is higher than personnel's operation, also so that the accuracy rate of map datum obtains
To improve, and renewal speed is faster, and convenient for providing to the user, freshness is higher online or offline map products.
As an alternative embodiment, being based on above-described embodiment, above-mentioned identification data variation record further comprises
It handles below：
The classification logotype for reading data variation record identifies data variation record according to classification logotype.Wherein, data variation
The classification of record includes Attribute class, shape class, association class and relation object.
In the present embodiment, data variation record is referred to as Tips, the class of the Tips can be recorded in the Tips that field operation provides
Not, such as：" species " Tips includes then the mark that type is " species ", so being identified pair according to the mark of type in Tips
As Tips.
For example, the present embodiment all can remove identification number using 17 class Tips as the object of automation according to the classification of tips
According to variation type, the class label of 17 class tips is respectively：Species, number of track-lines, direction, electronic eyes, point speed limit, survey line, Che Xin, friendship
Limit, road in region, POI link roads, 3D disagreements, put forward right disagreement, bridge, road maintenance, road covering, high speed disagreement, road are applied
Work.In the present embodiment, in carrying out object recognition process, 17 kinds of Tips can be identified according to the classification of Tips, for ease of place
This 17 kinds of Tips points are four major class by reason, the present embodiment, respectively：Attribute class (species), shape class (Link), association class, pass
It is class (vehicle letter)
As an alternative embodiment, being based on above-described embodiment, judge whether the data variation identified record is full
Sufficient automatic business processing condition further comprises：
When data variation record belongs to Attribute class, shape class or association class, meet automatic business processing condition；
When judging that data variation records relation belonging to class, established centered on the position where such data variation record slow
Area is rushed, detects and whether there is survey line in the buffering area, data variation record meets automatic business processing condition if finding survey line.
In the present embodiment, the Tips data of Attribute class, shape class or association class meet automation and require, in object select mistake
Cheng Zhong, by three classes Tips be automated as can automatic business processing object.
For the 4th class Tips --- relation object Tips establishes buffering area centered on the position where the Tips, if
Survey line then object Tipss of the Tips as automation is not found in buffering area；So in the link primarily directed to relationship type
Tips carries out secondary selection, and the Tips selected by object select link is the Tips for meeting automation typing.
As an alternative embodiment, above-described embodiment is based on, according in advance for the classification of data variation record
The computation rule of setting carries out automatic business processing and further comprises：
According to the classification logotype that data variation records, corresponding computation rule is called；Wherein, computation rule includes：Belong to
Property assignment principle, data replicate principle, data search principle, data conversion principle；
According to the classification of data variation record and the correspondence computation rule called, corresponding automation typing mode is selected
Data variation is recorded and carries out automatic business processing；Wherein, automation typing mode includes：Attribute class automatic input mode, shape
Class automatic input mode, association class automatic input mode and relation object automatic input mode.
Here, following explanation is made to above-described embodiment：
1) for Attribute class Tips：Attribute assignment principle includes that data source property value is assigned to corresponding target data category
Property.
Wherein, Attribute class automatic input mode includes reading data source property value, according to data search principle, is found and number
According to the corresponding target data in source, data source property value is assigned to the corresponding attribute field of target data according to attribute assignment principle.
For Attribute class Tips：Such as " species " value of corresponding road is had recorded in " species " Tips；Automatic business processing journey
Sequence reads the attribute value recorded in Tips, finds its corresponding road Link according to the Link ID recorded in Tips, will read
Attribute value be assigned to the corresponding attribute fields of the Link.
2) for shape class Tips：It includes that data source property value is copied to target data attribute that data, which replicate principle,；
Wherein, shape class automatic input mode includes reading data source property value, and principle, replicate data are replicated according to data
Source attribute value generates target data；
For shape class " survey line " Tips：Replicate the topology of " survey line " Tips, the track along " survey line " Tips and topology
Generate road Link.
3) for association class Tips：It includes according to the lookup target data attribute consistent with data source property value to search principle
Value；
Wherein, association class automatic input mode includes reading data source property value, according to data search principle, is found and number
Data source property value is assigned to the corresponding category of target data according to data assignment principle according to the target data of source Attribute Association
Property.
For association class Tips：The data of corresponding types are generated in the position where Tips, with the Link recorded in Tips
The corresponding Link of ID read the attribute information recorded in Tips and are assigned to corresponding attribute field as association Link.
4) for relation object Tips：It is entrance that data conversion principle, which includes by data source property value, with data source property
Value and angle principle are outlet, and data source is converted to target data；
Wherein, relation object automatic input mode includes reading data source property value, according to data search principle, is found and number
According to the target data of source Attribute Association, according to data source property value, data assignment principle and angle principle, by data source property value
It is assigned to the corresponding attribute of target data.
For relation object Tips：With Tips record Link ID enter Link, according to the arrow information recorded in Tips according to
It is calculated according to angle principle and exits Link come the foundation for the topological relation for carrying out relation information, read the attribute letter recorded in Tips
Breath, is assigned to corresponding field.
With reference to shown in Fig. 2, for the intelligent processing method flow for the field data acquisition data that another embodiment of the present invention provides
Schematic diagram, this method include following process flow：
S200：Outdoor workers collection site atural object data；
S202：Achievement is acquired to submit；
S204：Trigger automatic business processing program；
S206：Identify data variation record；
S208：Choose the data variation record for meeting automatic business processing condition；
S210：Judge whether the object chosen meets automatic business processing condition；
S212：It is automatic to calculate in the case where determination meets automatic business processing principle；
S214：Whether data conversion succeeds；
S216：Determining that data conversion is successful, data variation records information and map datum is written；
S218：Newer map datum is preserved into electronic map database.
Data variation record is submitted by field data acquisition, triggers automatic business processing program.Program is to can recognize that and meet certainly
Dynamicization treatment conditions data variation records, and is calculated automatically, and electronic map data is generated.To reduce number of operations, improve
Production efficiency reduces error probability.
With reference to embodiment shown in Fig. 3, above-mentioned map datum automatic generation method is described further, such as Fig. 3
Shown, the map datum automatic generation method of the present embodiment includes following processing procedure：
S300：Trigger automatic input.
S301：Extract survey line Tips.
In this step, automatic business processing object is shape class data, i.e. survey line Tips.Batch-automated recording program extraction
Go out the survey line Tips in the Tips that this is got, if the types value of Tips is " survey line ", extracts.
Wherein, survey line Tips further include will survey line and GPS side lines.
S302：Merge shape class Tips.
In this step, the geometry that all survey line Tips extracted are replicated to survey line generates road Link.
S304：Extract part association class Tips.
In this step, automatic business processing object is Attribute class data, that is, it is road in region to extract Attribute class Tips classifications
Attribute Tips, POI link road attribute Tips, bridge attribute Tips.
S306：The attribute of batch assignment association class Tips before interrupting.
In this step, attribute batch assignment is carried out before interrupting, and is extracted road attribute Tips, POI in region and is connected
Meet road attribute Tips, attribute value is assigned to by tri- generic attributes of bridge attribute Tips according to the attribute value and LinkID recorded in Tips
The road Link recorded in the Tips.
S308：Extract relation object Tips.
In this step, automatic business processing object is to have relation object data, that is, extracts and become on the existing roads of relation object Tips
Vehicle letter more, friendship limit, disagreement；If the association Link of Tips is rd-Link, and Tips types are that " vehicle letter hands over limit, divides
Discrimination " then extracts the Tips；
The step further includes：
S310：Transformational relation class Tips.
In this step, the three classes relation object Tips that extracts with the association Link recorded in Tips be into Link, with
Line is exited in arrow information and angle the principle calculating recorded in Tips, is converted to relation object Tips, and to relation object Tips
Batch assignment.The step further includes angle treatment principle, is described as follows：
Straight trip：(angle>157.5&&angle<=202.5)；
Turn left：(angle>247.5&&angle<=292.5)；
U-turn：(angle>337.5&&angle<=360.0)；(angle>=0＆＆angle<=22.5)；
It turns right：(angle>67.5&&angle<112.5)；(with China's Mainland data instance, therefore the areas actual treatment Shi Xu
Divide whether the crossing mounting of relationship type Tips effects changes).
S312：Judge whether the intersections Link interrupt.
In this step, automatic business processing object is to have relation object data.Further interrupting principle includes：
If it is survey line and survey line, there are the Tips of grade separation to be taken as grade separation, if no grade separation Tips is taken as
Usual friendship, when grade separation, do not interrupt, and when usual friendship interrupts；
If it is survey line and existing Link, there are the Tips of grade separation to be taken as grade separation, recognizes if no grade separation Tips
To be usual friendship, when grade separation, does not interrupt, and when usual friendship interrupts.
S314：Extract Attribute class Tips.
In this step, automatic business processing object is to have relation object data.Wherein, Attribute class Tips includes：Species Tips, vehicle
Road number Tips, direction Tips, road covering attribute Tips, road maintenance attribute Tips.
S316：Batch assignment Attribute class Tips attributes.
In this step, automatic business processing object is to have Attribute class data.It, will according to the attribute value recorded in Tips is extracted
The attribute value recorded in Tips is assigned to the association Link recorded in Tips.
S318：Crossing processing is carried out, judges whether the crossing point of the Link of mounting two and the above road generates crossing,
Determine that relationship category information is safeguarded automatically in the case of generating crossing.
S320：Extract association class Tips.
In this step, automatic business processing object is association class data.Wherein, association class data include：：Point speed limit Tips,
Electronic eyes Tips；
S322：Handle association class Tips
In this step, the point speed limit Tips and electronic eyes Tips that extract are the point according to the association Link recorded in Tips
The guiding coordinate that speed limit either records in the association Link Tips of electronic eyes is point speed limit or the coordinate point of electronic eyes,
Judge that action direction, the attribute value recorded in Tips are assigned to corresponding field according to the angle of Tips.
The above-mentioned processing procedure of map datum automatic generation method based on the present embodiment so that in automating Input Process
Meet the Tips of automation typing condition, automation is successfully then converted into map datum；It is unsatisfactory for the Tips of automation condition
Or meet automation condition, but since program calculating is obstructed, do not automate successfully, this part Tips is not converted into number
According to the original acquisition achievement of holding is constant, and the artificial alignment processing of follow-up link greatly improves work efficiency, and reduces artificial
Omission and mistake, effectively ensure data quality.
As an alternative embodiment, being based on above-described embodiment, above-mentioned reading simultaneously identifies that data variation records, according to
The classification of data variation record judges whether data variation record meets the condition of automatic business processing, and extraction respectively meets automation
The data variation record for the treatment of conditions further comprises：
It is that the data of vehicle letter become that record, which has its corresponding class label, extraction class label, in the data variation record of each classification
Change record；
The vehicle letter data variation record on existing road is chosen, is believed according to the associated link in vehicle letter data variation record
Breath, the vehicle letter data that the type of extraction wherein association link is road link change record.
As an alternative embodiment, being based on above-described embodiment, above-mentioned calling is directed to different classes of setting in advance
Automatic business processing mode, the data variation record of alignment processing respective classes and its corresponding map datum, obtain corresponding road
Circuit-switched data further comprises：
According to the association link that records in vehicle letter data variation record, calculate more new car letter enter line, inlet point and
Exit line；
The more new car believes lane information, track digital section corresponding word from vehicle letter data variation record in attribute field
Section acquired value.
As an alternative embodiment, being based on above-described embodiment, it is further that above-mentioned calculating more new car was believed enters line
Including：
The association link recorded in being recorded with the variation of vehicle letter data is first that vehicle letter enters in link calculating path
Link is calculated and is entered line：It is starting link, edge to be associated with link if the association link of vehicle letter data variation record is one direction
The passage direction for association link continues lookup, encounters and stops at first crossing point, near the crossing in the accessed path
The Road of point enters line for vehicle letter；If the association link of vehicle letter data variation record is twocouese, judge that the vehicle is believed
The action direction of data variation record determines the entrance line of vehicle letter according to action direction；Wherein, remember in vehicle letter data variation record
Record has the guiding coordinate of its guide position and the position coordinates of position, by guiding coordinate and position coordinates to determine the vehicle
The action direction of letter data variation record.
As an alternative embodiment, being based on above-described embodiment, the inlet point of above-mentioned calculating more new car letter is further
Including：
It is starting link to be associated with link, along association if the association link of vehicle letter data variation record is one direction
The passage direction of link, which continues, searches, the inlet point that encounter first crossing point is believed as the vehicle；
If the association link of vehicle letter data variation record is twocouese, guide coordinate along guiding coordinate and displaing coordinate
Line rotate clockwise, until for the first time and guiding link it is parallel when stop, at this time displaing coordinate to guide coordinate setting-out
Direction is the approach axis of vehicle letter, after the approach axis for determining vehicle letter data variation record, is changed with vehicle letter data and is remembered
The association link of record is starting link, continues along the approach axis of vehicle letter data variation record and searches, by find first road
The inlet point that mouth point is believed as the vehicle.
As an alternative embodiment, being based on above-described embodiment, above-mentioned calculating is exited line and is further comprised：
Record has the arrow direction information that the vehicle is believed in vehicle letter data variation record, remembers according in vehicle letter data variation record
Line is exited in the arrow direction information calculating of record；
Wherein, the arrow direction information of vehicle letter corresponds to the passage direction of four types：Straight trip turns left, u-turn, turns right.
With reference to shown in Fig. 4, the process of the automation typing processing of vehicle letter data variation record is done as described below below：
S400：Trigger the automation recording program of vehicle letter；
S402：Identification automation vehicle believes Tips；
This step will identify the specific object of automation before the automation typing into driving letter, and identification principle is such as
Under：
S404：It extracts in vehicle letter tips, every class tips and all has recorded its corresponding class label, according to the class label of tips
The tips of vehicle letter type is extracted for " vehicle letter "；
S406：Choose the vehicle letter tips on existing road；
In this step, the update of vehicle letter is divided into two kinds of situations：1) on existing road 2) more new car letter updates in new added road
Che Xin.Here, it chooses newer vehicle letter, existing road on existing road to embody in map datum, update again is, existing
There is the newly-increased or modification that vehicle is believed in field.Wherein, extraction principle is as follows：
The type that associated link can be recorded in each tips is survey line or road link, if it is on existing road more
New car believes that association link is then road link, and the then association link in new added road is then survey line link；By being recorded in tips
Association link information, extract tips in association link type be road link, can as automate typing vehicle letter
tips。
It is exactly to believe that automation typing calculates assignment into driving below, it is right after the vehicle letter tips for identifying automation typing
The object identified calculates assignment according to following principle：
S408：It calculates and enters link；
This step believes that the association link recorded in tips is that the vehicle believes first calculated into link in path with the vehicle
Link is divided to two kinds of situations calculating to enter link：
It is starting link to be associated with link, along the passage side of association link if 1) the association link of tips is one direction
To continue search, encounter first crossing and point out stoppings, in the accessed path near the link at crossing be the vehicle believe into
Enter link；Wherein, crossing point is the point for the link that three or more are mounted on giving directions.
If 1) it is twocouese that tips, which is associated with link, the action direction for judging vehicle letter tips is needed, then determine its entrance
Link, calculating principle are as follows：
Due to having recorded the coordinate of its guide position and the coordinate of position in Tips, this is determined by coordinate
The action direction of tips, as shown in Figure 5：Guiding coordinate refer to：It is led by dotted line shown in figure between tips and guiding link
Lead is connected, and guiding coordinate refers to the coordinate of guiding link and draught line crosspoint；Displaing coordinate refers to：Tips institutes are in place
The coordinate set.
For further, guiding coordinate is rotated clockwise along the line of guiding coordinate and displaing coordinate, until for the first time
Angle with guiding link stops when being 0, and the setting-out direction of displaing coordinate to guiding coordinate is the entrance side of vehicle letter at this time
To with the association link of tips to originate link, the approach axis along the tips continues lookup, and the first crossing point found is i.e.
For the inlet point of vehicle letter, calculates the link in path near crossing and enter link as what the vehicle was believed.
If not finding the line that enters of vehicle letter, which believes that tips without automatic input, does not generate data, tips shapes
State is not changed, and waits for that subsequent artefacts are handled；
S409：Calculate inlet point：
It is starting link to be associated with link, along the passage side of association link if 1) it is one direction that tips, which is associated with link,
It is searched to continuing, encounters the inlet point that first crossing point is vehicle letter；
If 2) it is twocouese that tips, which is associated with link, guide coordinate clockwise along the line of guiding coordinate and displaing coordinate
Rotation stops when first time is parallel with guiding link, and the setting-out direction of displaing coordinate to guiding coordinate is the vehicle at this time
The approach axis of letter is starting link with the association link of tips, along the entrance of the tips after the approach axis for determining tips
Direction, which continues, searches, and the first crossing point found is the inlet point of vehicle letter；
If not finding the inlet point of vehicle letter, which believes that tips without automatic input, does not generate data, tips shapes
State is not changed, and waits for that subsequent artefacts are handled；
S412：Line is exited in calculating：
The arrow information that vehicle letter is had recorded in vehicle letter tips exits line according to the arrow information calculating recorded in tips,
The arrow information of vehicle letter can correspond to the sensible direction of four types：Straight trip turns left, u-turn, turns right, and it is as follows to calculate angle principle：
1) it keeps straight on：(angle>157.5&&angle<=202.5)；
When the corresponding sensible direction of arrow is straight trip, which exits in link, meets with the angle for entering link：
(angle>157.5&&angle<=202.5) link, then to keep straight on, arrow is corresponding to exit line, if the crossing is exited
There is a plurality of link in link while meeting the angular range, then chooses angle closest to the link of 180 degree as straight trip arrow
Exit link.
2) turn left：(angle>247.5&&angle<=292.5)；
When the corresponding sensible direction of arrow is to turn left, which exits in link, meets with the angle for entering link:
(angle>247.5&&angle<=292.5) link then exits line for left-hand rotation arrow is corresponding, if the crossing is exited
There is a plurality of link in link while meeting the angular range, then chooses angle closest to 270 degree of link as left-hand rotation arrow
Exit link.
3) it reverses end for end：(angle>337.5&&angle<=360.0)；(angle>=0＆＆angle<=22.5)；
When the corresponding sensible direction of arrow is to turn right, which exits in link, meets with the angle for entering link:
(angle>67.5&&angle<112.5) link then exits line for right-hand rotation arrow is corresponding, if link is exited at the crossing
In have a plurality of link while meeting the angular range, then choose angle closest to 90 degree of link exiting as right-hand rotation arrow
link。
4) it turns right：(angle>67.5&&angle<112.5)；(with China's Mainland data instance)
When the corresponding sensible direction of arrow is u-turn, which exits in link, meets with the angle for entering link:
(angle>337.5&&angle<=360.0)；(angle>=0＆＆angle<=22.5)；Link, then be right-hand rotation arrow pair
That answers exits line, if exiting in link for the crossing has a plurality of link while meeting the angular range, chooses angle and most connects
The link of nearly 360 (or 0) degree exits link as right-hand rotation arrow.
S414：Attribute assignment, vehicle believe that lane information, track digital section in attribute field believe corresponding word in tips from vehicle
Section acquired value.
Therefore, invention is converted into map datum by the scene variation for recording outdoor workers by program calculating, is not required to
The secondary operation that pass through surveyor solves the problems, such as that map producing repeats operation.Also, the present invention is calculated by program
Change data, production efficiency are operated higher than personnel, improve production efficiency, save personnel cost, are reduced the artificial intervention of interior industry, are kept away
Exempt from artificial omission and mistake, data quality is effectively ensured.
Product embodiments
To realize that a kind of intelligent treatment device of field data acquisition data, the dress is also disclosed in the above method, the embodiment of the present invention
Set including：
Trigger module, for recording triggering automatic business processing program according to the live atural object data variation of acquisition；
Extraction module, for reading and identifying that the data variation record, the classification recorded according to the data variation are sentenced
Whether the disconnected data variation record meets the condition of automatic business processing, and extraction respectively meets the data change of automatic business processing condition
Change record；
Computing module, for calling the automatic business processing mode for being directed to different classes of setting in advance, alignment processing respective class
Other data variation record and its corresponding map datum, obtain corresponding road data；
Assignment module, the class label correspondence for recording the data variation are assigned to road way be calculated
According to generation road network data.
As an alternative embodiment, being based on above-described embodiment, above-mentioned apparatus further includes：
Update module for being updated to map datum according to the road network data, and updates the data and becomes
Change the state of record；
Memory module stores newer map datum into the electronic map database built in advance.
Since the intelligent treatment device of any of the above-described kind of field data acquisition data has above-mentioned technique effect, using this
The newer map data base of intelligent treatment device of field data acquisition data is also answered with the corresponding technical effect, is embodied
Journey is similar to the above embodiments, does not repeat hereby.
As an alternative embodiment, being based on above-described embodiment, said extracted module further comprises：
Identify subelement, its corresponding class label for being recorded in being recorded according to the data variation of each classification, extraction
Class label is the data variation record of vehicle letter；
Subelement is extracted, for choosing the variation record of the vehicle letter data on existing road, is changed according to the vehicle letter data
Associated link information in record, the vehicle letter data variation that the type of extraction wherein association link is road link record.
As an alternative embodiment, being based on above-described embodiment, above-mentioned computing module further comprises：
Vehicle believes computation subunit, for according to the association link recorded in vehicle letter data variation record, calculating more new car letter
Enter line, inlet point and exit line；
Attribute assignment subelement, it is corresponding for believing the lane information in attribute field, track digital section assignment for more new car
The corresponding field acquired value from vehicle letter data variation record.
In addition, the present invention provides a kind of hybrid navigation systems, as shown in fig. 6, the hybrid navigation system includes：Data mould
Block 405, search module 410, navigation module 415, entertainment modules 420, communication module 425, vehicle-mounted interest are driven operating system 400, are passed
Sensing system 450 and user interactive module.Optionally, user interactive module includes information entry module 430, intelligent sound interaction
Module 435, analysis module 440 and display module 445.Wherein：
Data module 405, for storing and updating electronic map data, which is any of the above-described related real
Apply automatically generating device treated the data in navigation electronic map of map datum disclosed in example；
Search module 410, for executing search operation according to user instruction and exporting search result；
Navigation module 415, for providing two-dimensional/three-dimensional path planning and navigation clothes to the user according to obtained navigation instruction
Business；
Entertainment modules 420, for providing game, music and other audio-visual entertainment selections；Communication module 425, for obtaining
Newer map datum, dynamic information, the communication of one-to-one or group voice/video；
Information entry module 430, the instruction being manually entered by touch screen or button for receiving user；
Intelligent sound interactive module 435 instructs for receiving user speech, carries out voice wake-up and voice control, and
The result of user speech instruction is executed for voice output；
Analysis module 440 carries out speech recognition, lexical analysis and instruction conversion for being instructed to user speech, and is used for
Corresponding module is notified to execute the user speech instruction identified；Wherein, user speech instruction is any one of arbitrary languages
The expression of kind sentence pattern；
Display module 445, the search result provided for showing search module, guidance path, the number of navigation module offer
The dynamic information that the map datum and communication module provided according to module provides, illustrated using voice, two-dimensional/three-dimensional,
And/or the mode of word is shown；
Vehicle-mounted interest drives operating system 400, for providing running environment and support for above-mentioned each module；
Sensor-based system 450 drives operating system for the interest and provides real-time dynamic for monitoring vehicle-state and traffic information
Information.
It should be noted that since the automatic generation method and device in map datum described in aforementioned any embodiment have
There is above-mentioned technique effect, therefore, uses the automatic automatic generation method and dress of the map datum described in aforementioned any embodiment
The hybrid navigation system set also is answered with the corresponding technical effect, and specific implementation process is similar to the above embodiments, does not go to live in the household of one's in-laws on getting married hereby
It states.
Obviously, those skilled in the art should be understood that the above-mentioned present invention's automates typing for map datum
Each step of method can be realized with general computing device, they can be concentrated on a single computing device, or distribution
On network constituted by multiple computing devices, optionally, they can be realized with the program code that computing device can perform,
It is performed by computing device it is thus possible to be stored in storage device, or they are fabricated to each integrated
Circuit module, or by them multiple modules or step be fabricated to single integrated circuit module and realize.In this way, of the invention
Any specific hardware and software is not limited to combine.The storage device is nonvolatile memory, such as：ROM/RAM, sudden strain of a muscle
It deposits, magnetic disc, CD etc..
Example the above is only the implementation of the present invention is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of intelligent processing method of field data acquisition data, which is characterized in that including：
Live atural object data variation record is obtained, automatic business processing program is triggered；
It reads and identifies that the data variation record, the classification recorded according to the data variation judge that the data variation records
Whether the condition of automatic business processing is met, and extraction respectively meets the data variation record of automatic business processing condition；
Call in advance be directed to different classes of setting automatic business processing mode, alignment processing respective classes data variation record and
Its corresponding map datum, obtains corresponding road data；
The class label correspondence that the data variation records is assigned to road data be calculated, generates Road netting index
According to.
2. the intelligent processing method of field data acquisition data according to claim 1, which is characterized in that this method further includes：
According to the road network data, map datum is updated, and updates the state of the data variation record；
Newer map datum is stored into the electronic map database built in advance.
3. the intelligent processing method of field data acquisition data according to claim 1 or 2, which is characterized in that the reading is simultaneously
Identify that the data variation record, the classification recorded according to the data variation judge whether the data variation record meets certainly
Dynamicization processing condition, respectively extraction meet automatic business processing condition data variation record further comprise：
It is the data variation note of vehicle letter that record, which has its corresponding class label, extraction class label, in the data variation record of each classification
Record；
The vehicle letter data variation record on existing road is chosen, is believed according to the associated link in vehicle letter data variation record
Breath, the vehicle letter data that the type of extraction wherein association link is road link change record.
4. the intelligent processing method of field data acquisition data according to claim 3, which is characterized in that described to call advance needle
To the automatic business processing mode of different classes of setting, the data variation record of alignment processing respective classes and its corresponding map number
According to obtaining corresponding road data and further comprise：
According to the association link recorded in vehicle letter data variation record, what calculating more new car was believed enters line, inlet point and exits
Line；
The more new car believes lane information, track digital section corresponding word from vehicle letter data variation record in attribute field
Section acquired value.
5. according to the intelligent processing method of claim 1-4 any one of them field data acquisition data, it is characterised in that：
It is described to calculate further comprising into line for more new car letter：
The association link recorded in being recorded with vehicle letter data variation is first that vehicle letter enters in link calculating path
Link is calculated and is entered line：It is starting to be associated with link if the association link of the vehicle letter data variation record is one direction
Link continues along the passage direction of association link and searches, encounters and stop at first crossing point, in the accessed path near
The Road of the crossing point enters line for vehicle letter；If the association link of the vehicle letter data variation record is twocouese,
The action direction for judging vehicle letter data variation record determines the entrance line of vehicle letter according to the action direction；Wherein, the vehicle
Record has the guiding coordinate of its guide position and the position coordinates of position in letter data variation record, passes through the guiding
Coordinate and the position coordinates determine the action direction of vehicle letter data variation record；
And/or the inlet point for calculating more new car letter further comprises：
It is starting link to be associated with link, along association if the association link of the vehicle letter data variation record is one direction
The passage direction of link, which continues, searches, the inlet point that encounter first crossing point is believed as the vehicle；
If the association link of the vehicle letter data variation record is twocouese, guide coordinate along guiding coordinate and displaing coordinate
Line rotate clockwise, until for the first time and guiding link it is parallel when stop, at this time displaing coordinate to guide coordinate setting-out
Direction is the approach axis of vehicle letter, after the approach axis for determining the vehicle letter data variation record, believes number with the vehicle
Association link according to variation record is starting link, continues along the approach axis of vehicle letter data variation record and searches, will look for
The inlet point that the first crossing point arrived is believed as the vehicle.
6. the intelligent processing method of field data acquisition data according to claim 5, which is characterized in that line is exited in the calculating
Further comprise：
Record has the arrow direction information that the vehicle is believed in the vehicle letter data variation record, is changed according to the vehicle letter data and is recorded
Line is exited in the arrow direction information calculating of middle record；
Wherein, the arrow direction information of vehicle letter corresponds to the passage direction of four types：Straight trip turns left, u-turn, turns right.
7. a kind of intelligent treatment device of field data acquisition data, which is characterized in that including：
Trigger module, for recording triggering automatic business processing program according to the live atural object data variation of acquisition；
Extraction module, for reading and identifying that the data variation record, the classification recorded according to the data variation judge institute
The condition whether data variation record meets automatic business processing is stated, extraction respectively meets the data variation note of automatic business processing condition
Record；
Computing module, for calling the automatic business processing mode for being directed to different classes of setting in advance, alignment processing respective classes
Data variation records and its corresponding map datum, obtains corresponding road data；
Assignment module, the class label correspondence for recording the data variation is assigned to road data be calculated, raw
At road network data.
8. the intelligent treatment device of field data acquisition data according to claim 7, which is characterized in that the device further includes：
Update module for being updated to map datum according to the road network data, and updates the data variation note
The state of record；
Memory module stores newer map datum into the electronic map database built in advance.
9. the intelligent treatment device of field data acquisition data according to claim 7 or 8, it is characterised in that：
The extraction module further comprises：
Identify subelement, its corresponding class label for being recorded in being recorded according to the data variation of each classification extracts classification
Value is the data variation record of vehicle letter；
Subelement is extracted, for choosing the variation record of the vehicle letter data on existing road, is changed according to the vehicle letter data and is recorded
In associated link information, extraction wherein association link type be road link vehicle letter data variation record.
And/or the computing module further comprises：
Vehicle believes computation subunit, for according to the association link that records in vehicle letter data variation record, calculate more new car letter into
Enter line, inlet point and exits line；
Attribute assignment subelement, it is corresponding from institute for believing the lane information in attribute field, track digital section assignment for more new car
State corresponding field acquired value in vehicle letter data variation record.
10. a kind of hybrid navigation system, which is characterized in that including：
Data module, for storing and updating electronic map data, which is according to any one of claim 7-9
The intelligent treatment device of the field data acquisition data treated data in navigation electronic map；
Search module, for executing search operation according to user instruction and exporting search result；
Navigation module, for providing two-dimensional/three-dimensional path planning and navigation Service to the user according to obtained navigation instruction；
Entertainment modules, for providing game, music and other audio-visual entertainment selections；
Communication module, for obtaining newer map datum, dynamic information, the communication of one-to-one or group voice/video；
Information entry module, the instruction being manually entered by touch screen or button for receiving user；
Intelligent sound interactive module instructs for receiving user speech, carries out voice wake-up and voice control, and is used for voice
Output executes the result of the user speech instruction；
Analysis module carries out speech recognition, lexical analysis and instruction conversion for being instructed to the user speech, and for notifying
Corresponding module executes the user speech instruction identified；Wherein, the user speech instruction is any one of arbitrary languages
The expression of kind sentence pattern；
Display module, the search result provided for showing described search module, the guidance path of the navigation module offer, institute
The map datum of data module offer and the dynamic information of communication module offer are stated, using voice, two dimension/tri-
Dimension diagram, and/or the mode of word are shown；
Interest drives operating system, for providing running environment and support for above-mentioned each module；
Sensor-based system drives operating system for the interest and provides real-time dynamic information for monitoring vehicle-state and traffic information.
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