CN109492071A - A kind of railway high-precision map data processing method and system - Google Patents
A kind of railway high-precision map data processing method and system Download PDFInfo
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Abstract
The invention discloses a kind of railway high-precision map data collecting, cleaning, formatting, labels, verifying, generation, and the method and system of maintenance, terminal can collection site geographic coordinate data, system can be for collected live geographic coordinate data, it is cleared up, it formats and identifies, ultimately form railway high-precision map, and carry out verifying and persistence maintenance.It solves the problems, such as existing railway digital map and can not support the judgement of fining business demand, can not quickly update the status to show newest route and yard equipment.
Description
Technical field
The present invention relates to electronic map field, in particular to a kind of railway high-precision map data processing method and system.
Background technique
Currently, combining using general map and live positioning device, it is real-time on map that device coordinate may be implemented
Display and monitoring；It is necessary to have professional service can finally realize a series of iron in the high-precision map of railway systems
The fining business demand of road industry, such as:
Field Force, equipment or train are to be located at which line not (reach uplink, or reach downlink), which item of yard
Station track (inland river station station track 3 or inland river station station track 4)；Field Force, equipment or train are located near which mileage points；Scene
Personnel, equipment or train are which characteristic point nearby (turn-out track before stock rail connector, trouble, trouble positioned at which track switch of yard
It is bent after straight afterwards, trouble)；
Currently, the existing map of railway systems is divided into several classes:
1, the rail track in map and yard equipment etc. are only located on base map, are only used for display effect, can not be supported
Refine the judgement of business demand.
2, the rail track in map and yard equipment precision are inadequate, can not support the judgement of fining business demand.
3, the rail track in map and yard equipment only include part, and such as a yard may include a plurality of, or even number
Ten station tracks, but only have 1,2 station track on map and show, it can not support the judgement of fining business demand.
4, when in reality rail track and yard equipment change after, as new line, new yard build and put into effect；Line
Road, station yard modification, the status that map can not quickly be updated to show newest route and yard equipment.
Summary of the invention
It is an object of the invention to: a kind of railway high-precision map data processing method and system are provided, is solved existing
There is railway digital map that can not support the judgement of fining business demand, can not quickly update to show newest route and yard
The problem of status of equipment.
The technical solution adopted by the invention is as follows:
A kind of railway high-precision map data processing method, comprising the following steps:
S1, acquisition Railway Site geographic coordinate data；
S2, the collected geographic coordinate data of S1 is handled, obtains complete high-precision geographic coordinate data；
S3, mileage formatting, characteristic point and characteristic area mark are carried out to the complete high-precision geographic coordinate data that S2 is obtained
Know, obtains railway accurately diagram data；
S4, the railway obtained to S3 accurately verify by diagram data；
S5, to railway, accurately diagram data carries out persistence maintenance.
Further, the geographic coordinate data includes: the latitude of location point, longitude, height and current data precision；
In the step S1 acquire Railway Site geographic coordinate data method the following steps are included:
S101, by data acquisition equipment installation ON TRAINS, using train on the line with the process that is run in yard, into
Row on-site data gathering
S102, data acquisition equipment is mounted on inspection equipment, using equipment on the line with the mistake that is run in yard
Journey carries out on-site data gathering
S103, data acquisition equipment is carried by staff, the artificial geographic coordinate data acquired in route and yard.
Further, the method handled in the step S2 collected geographic coordinate data includes:
S201, the data of acquisition are analyzed: judging which is geodata related with field device, which be with
The unrelated geodata of field device rejects the geodata unrelated with field device；
S202, the data of acquisition are cleared up: reject because caused by stopping or moving back and forth repeat or extra geography
Coordinate data；
S203, the data of multi collect are merged, replaces low accuracy data with high accuracy data.
Further, the method handled in the step S2 collected geographic coordinate data includes to collecting
The method that is derived of geographic coordinate data reference is carried out using railway LKJ basic data, which comprises
S204, the derivation for straight path: known one section of high-precision section therein, according to railway LKJ basic data
Derive the geographic coordinate data of other unknown position points on the straight path；
S205, the derivation for at least two lines road with parallel relation: the high-precision road of a known wherein route
Section, the unknown position point on another route on the corresponding section with parallel relation is derived according to railway LKJ basic data
Geographic coordinate data；
S206, the derivation for circular curve road: the known wherein bent high-precision section of one section of circle, according to the basis railway LKJ
Data derive the geographic coordinate data of other unknown position points of circular curve road；
S207, the derivation for axial symmetry or central symmetry curve circuit: the curve section and symmetry axis of known a part
Or symmetrical midpoint geographic coordinate data, the known corresponding symmetrical curve section of curve section is derived according to railway LKJ basic data
The geographic coordinate data of upper unknown position point；
S208, the derivation for route and track switch with same geometry: a known wherein route and track switch
High-precision section derives on another route on the route and track switch of corresponding same geometry according to railway LKJ basic data
Unknown position point geographic coordinate data.
Further, mileage format is carried out to the complete high-precision geographic coordinate data that step S2 is obtained in the step S3
Change, characteristic point and characteristic area mark, the method for obtaining railway accurately diagram data include:
S301, mileage format: the geographic coordinate data of route and yard station track is formatted as equidistant position point
Sequence, and be that each location point assigns corresponding mileage value according to the definition of railway LKJ basic data；
S302, feature point identification: according to railway LKJ basic data, track switch characteristic point, semaphore characteristic point, insulation are marked
Joint characteristics point, knick point characteristic point, access door characteristic point；
S303 characteristic area mark: according to railway LKJ basic data, label yard characteristic area, sta characteristics region, just
The right rail characteristic area of line characteristic area, station track characteristic area, track switch characteristic area, the left rail of route, road shoulder characteristic area, tunnel are special
Levy region, bridge characteristic area, contain canal characteristic area, line speed characteristic area, curvilinear characteristic region, gradient feature region,
Subgrade characteristics region and dangerous section characteristic area of controlling flood.
Further, the railway that the step S4 obtains S3 according to railway LKJ basic data accurately diagram data into
Row verifying method the following steps are included:
S401, length verifying: the length and iron of one section of straight line defined in verifying railway LKJ basic data or curve circuit
The road accurately length of straight line or curve circuit in diagram data, if there is the error more than threshold value；
S402, parameter of curve verifying: the parameter and railway of one section of curve circuit defined in verifying railway LKJ basic data
Accurately in diagram data curve circuit parameter, if there is the error more than threshold value；
S403, mileage verifying: the mileage and railway accurately diagram data of the identification point in verifying railway LKJ basic data
In mileage, if there is the error more than threshold value；
S404, the verifying of line spacing: station track line spacing and railway accurately diagram data in verifying railway LKJ basic data
The line spacing of middle corresponding station track, if there is the error more than threshold value；
S405, the verifying of most short spacing: the verifying railway accurately line of shortest length in diagram data between adjacent lines or station track
Spacing, if there is the place more than threshold value；
S406, track switch verifying: track switch model and parameter and railway high-precision map number in verifying railway LKJ basic data
According to middle corresponding track switch model and parameter, if there is the error more than threshold value；
S407, signature verification: gradient feature region and railway accurately diagram data in verifying railway LKJ basic data
In correspondence gradient feature region, if there is the error more than threshold value.
Further, the step S5 uses the fixed cycle to the railway method that accurately diagram data carries out persistence maintenance
Step S4 is executed, repeats step S1 to S4 when failing the authentication.
Further, a kind of railway accurately diagram data system, further includes the geographical coordinate for acquiring Railway Site
The acquisition terminal of data and processor for executing step S1-S5.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1. a kind of railway high-precision map data processing method of the present invention and system, solve existing railway digital map without
Method is supported the judgement of fining business demand, can not quickly update and be asked with the status for showing newest route and yard equipment
Topic；
2. a kind of railway high-precision map data processing method of the present invention and system, by the data and railway of collection in worksite
LKJ basic data is combined, and obtained map reliability is high.
Detailed description of the invention
Examples of the present invention will be described by way of reference to the accompanying drawings, in which:
Fig. 1 is flow diagram of the invention；
Specific embodiment
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
It elaborates below with reference to Fig. 1 to the present invention.
Embodiment 1
A kind of railway high-precision map data processing method, comprising the following steps:
S1, acquisition Railway Site geographic coordinate data；
S2, the collected geographic coordinate data of S1 is handled, obtains complete high-precision geographic coordinate data；
S3, mileage formatting, characteristic point and characteristic area mark are carried out to the complete high-precision geographic coordinate data that S2 is obtained
Know, obtains railway accurately diagram data；
S4, the railway obtained to S3 accurately verify by diagram data；
S5, to railway, accurately diagram data carries out persistence maintenance.
Embodiment 2
The present embodiment the difference from embodiment 1 is that, the geographic coordinate data includes: the latitude of location point, longitude, high
Degree and current data precision；
In the step S1 acquire Railway Site geographic coordinate data method the following steps are included:
S101, by data acquisition equipment installation ON TRAINS, using train on the line with the process that is run in yard, into
Row on-site data gathering
S102, data acquisition equipment is mounted on inspection equipment, using equipment on the line with the mistake that is run in yard
Journey carries out on-site data gathering
S103, data acquisition equipment is carried by staff, the artificial geographic coordinate data acquired in route and yard.
Further, the method handled in the step S2 collected geographic coordinate data includes:
S201, the data of acquisition are analyzed: judging which is geodata related with field device, which be with
The unrelated geodata of field device rejects the geodata unrelated with field device；
S202, the data of acquisition are cleared up: reject because caused by stopping or moving back and forth repeat or extra geography
Coordinate data；
S203, the data of multi collect are merged, replaces low accuracy data with high accuracy data.
Further, the method handled in the step S2 collected geographic coordinate data includes to collecting
The method that is derived of geographic coordinate data reference is carried out using railway LKJ basic data, which comprises
S204, the derivation for straight path: known one section of high-precision section therein, according to railway LKJ basic data
Derive the geographic coordinate data of other unknown position points on the straight path；
S205, the derivation for at least two lines road with parallel relation: the high-precision road of a known wherein route
Section, the unknown position point on another route on the corresponding section with parallel relation is derived according to railway LKJ basic data
Geographic coordinate data；
S206, the derivation for circular curve road: the known wherein bent high-precision section of one section of circle, according to the basis railway LKJ
Data derive the geographic coordinate data of other unknown position points of circular curve road；
S207, the derivation for axial symmetry or central symmetry curve circuit: the curve section and symmetry axis of known a part
Or symmetrical midpoint geographic coordinate data, the known corresponding symmetrical curve section of curve section is derived according to railway LKJ basic data
The geographic coordinate data of upper unknown position point；
S208, the derivation for route and track switch with same geometry: a known wherein route and track switch
High-precision section derives on another route on the route and track switch of corresponding same geometry according to railway LKJ basic data
Unknown position point geographic coordinate data.
Further, mileage format is carried out to the complete high-precision geographic coordinate data that step S2 is obtained in the step S3
Change, characteristic point and characteristic area mark, the method for obtaining railway accurately diagram data include:
S301, mileage format: the geographic coordinate data of route and yard station track is formatted as equidistant position point
Sequence, and be that each location point assigns corresponding mileage value according to the definition of railway LKJ basic data；
S302, feature point identification: according to railway LKJ basic data, track switch characteristic point, semaphore characteristic point, insulation are marked
Joint characteristics point, knick point characteristic point, access door characteristic point；
S303 characteristic area mark: according to railway LKJ basic data, label yard characteristic area, sta characteristics region, just
The right rail characteristic area of line characteristic area, station track characteristic area, track switch characteristic area, the left rail of route, road shoulder characteristic area, tunnel are special
Levy region, bridge characteristic area, contain canal characteristic area, line speed characteristic area, curvilinear characteristic region, gradient feature region,
Subgrade characteristics region and dangerous section characteristic area of controlling flood.
Further, the railway that the step S4 obtains S3 according to railway LKJ basic data accurately diagram data into
Row verifying method the following steps are included:
S401, length verifying: the length and iron of one section of straight line defined in verifying railway LKJ basic data or curve circuit
The road accurately length of straight line or curve circuit in diagram data, if there is the error more than threshold value；
S402, parameter of curve verifying: the parameter and railway of one section of curve circuit defined in verifying railway LKJ basic data
Accurately in diagram data curve circuit parameter, if there is the error more than threshold value；
S403, mileage verifying: the mileage and railway accurately diagram data of the identification point in verifying railway LKJ basic data
In mileage, if there is the error more than threshold value；
S404, the verifying of line spacing: station track line spacing and railway accurately diagram data in verifying railway LKJ basic data
The line spacing of middle corresponding station track, if there is the error more than threshold value；
S405, the verifying of most short spacing: the verifying railway accurately line of shortest length in diagram data between adjacent lines or station track
Spacing, if there is the place more than threshold value；
S406, track switch verifying: track switch model and parameter and railway high-precision map number in verifying railway LKJ basic data
According to middle corresponding track switch model and parameter, if there is the error more than threshold value；
S407, signature verification: gradient feature region and railway accurately diagram data in verifying railway LKJ basic data
In correspondence gradient feature region, if there is the error more than threshold value.
Further, the step S5 uses the fixed cycle to the railway method that accurately diagram data carries out persistence maintenance
Step S4 is executed, repeats step S1 to S4 when failing the authentication.
Embodiment 3
A kind of railway accurately diagram data system, further includes the acquisition for acquiring the geographic coordinate data of Railway Site
Terminal and processor for executing step S1-S5.
Embodiment 4
Present embodiments provide a kind of method for acquiring Railway Site geographic coordinate data.Specifically, as shown in Figure 1, institute
The method of stating can comprise the following steps that
S101: using train on the line with the process that runs in yard, on-site data gathering is carried out.
S10101, firstly, selection has the mobile satellite location equipment of decimeter grade or Centimeter Level or higher precision；
S10102, the satellite antenna of equipment is placed in the open unobstructed region on train, such as roof location；
S10103, equipment body are placed in car as far as possible, can self-powered, or by train power supply；
S10104, when road transport row along train will start, open equipment, continuous capturing geographic coordinate data simultaneously carries out
It is automatically stored；
S10105, when train stop after, pass hull closure terminates this data collection task.
S10106, in addition, equipment can be set to be powered after automatically begin to work, work is automatically stopped after power-off, to subtract
Few operation link.
The geographic coordinate data of capture includes: longitude, latitude, height above sea level and current positioning accuracy.
S102: using inspection equipment on the line with the process that runs in yard, on-site data gathering is carried out.
S10201, firstly, selection has the mobile satellite location equipment of decimeter grade or Centimeter Level or higher precision；
S10202, the satellite antenna of equipment is placed in the open unobstructed region on equipment, such as top right above equipment；
S10203, when road transport row along equipment is placed on route, i.e., will start, open equipment, continuous capturing is geographical
Coordinate data is simultaneously automatically stored；
S10204, when equipment power cut-off, after moving away from route, pass hull closure terminates this data collection task.
The geographic coordinate data of capture includes: longitude, latitude, height above sea level and current positioning accuracy.
S103: carrying data acquisition equipment by personnel, the artificial geographic coordinate data acquired in route and yard.
S10301, firstly, selection has the mobile satellite location equipment of decimeter grade or Centimeter Level or higher precision；
S10302, by personnel carrying device.
S10303, start to open equipment on route or yard equipment before walking, can choose typing or note in personnel
It records this acquisition data is relevant and illustrate information, such as: reaching uplink K57.600 and start curve.
S10304, personnel take equipment and start to walk on route or yard equipment, pay attention to keeping satellite antenna positioned at open
Unobstructed region.Equipment continuously captures geographic coordinate data automatically and is automatically stored.
After personnel complete to walk, closing or arrestment terminate this data collection task.
The geographic coordinate data of capture includes: longitude, latitude, height above sea level and current positioning accuracy.
S201: collected geographic coordinate data is analyzed.
S20101, the overall condition for determining this data collection activity geographic coordinate data collected is analyzed.
The whole data set of acquisition can be imported in a certain satellite map, in Google Earth, check this acquisition
The overall condition of data.
Low accuracy data and high accuracy data in S20102, differentiation data set.
According to " positioning accuracy " in collected geographic coordinate data, positioning accuracy is that the data of fixed solution are high-precision
Data, positioning accuracy are not that the data of fixed solution are low accuracy data.
Low precision section and high-precision section in S20103, differentiation data set.
According to longest distance between predetermined 2 points, such as 50 meters, in the longest distance, 1 high-precision is such as included at least
Location point, then it is assumed that the distance is high-precision section；If not including any high precision position point in the distance, then it is assumed that the distance
For low precision section, need to acquire or supplement again high precision position point in its section.
Entire data set is traversed, obtains all low precision section and high-precision section.
Invalid data in S20104, differentiation data set.
Artificial distinguish and two methods of automatic distinguishing can be used.
The route for checking that data set is formed one by one in map is manually divided into, emphasis checks that route is clearly not smooth shape
The route of state is not that the route of smooth state is likely to invalid data because rail track must be smooth transition.
Certain algorithm can be used in automatic distinguishing, and to automatically analyze the data in data set, marking may be invalid data
Section, then by manual confirmation.Possible algorithm has: the geographical location for calculating continuous 3 data points A, B, C one by one is formed by
Angle ∠ ABC between line segment AB and BC, if the scheduled numerical value in less than one, the angle, such as 100 °, then it is assumed that 3 points of A, B, C are not
Smooth transition, it may be possible to which invalid data is marked, and then, then successively analyzes B, C and subsequent D point, until completing
The traversal of all data in data set.
Repeated data in S20105, differentiation data set.
When carrying out continuously and automatically data acquisition, may cause because static or mobile slow in some position
Point has recorded a large amount of position repeated data.Can by manually distinguish with two methods of automatic distinguishing come to these repeated datas into
Line flag.
The data point for paying attention to checking in data set in map is manually divided into, for the region for thering is mass data point to assemble
Carry out manual analysis and label.
Certain algorithm can be used in automatic distinguishing, to automatically analyze the data in data set, marks repeated data section, then
By manual confirmation.Possible algorithm has: the geographical location for calculating continuous 2 data points A, B one by one is formed by line segment AB, if
Less than one scheduled numerical value of the length of AB line segment, such as 0.05 meter, then it is assumed that A, B two o'clock are got too close to, and are considered as coincidence, B is marked
It is denoted as repetition point, then reexamines the C point after A and B point；If the length of AB line segment is greater than predetermined value, then it is assumed that A, B two
Point is not to repeat point, can continue checking the C point after B point and B point, the traversal until completing all data in data set.
Opposite direction data in S20106, differentiation data set.
In data acquisition, train, equipment, collector may not remain the walking shape in the same direction
State, therefore in the data set finally acquired, it is understood that there may be multiple opposite direction data.It needs to mark these opposite direction data
Note.
S202: the data of acquisition are cleared up.
S20201, the low accuracy data acquired in data set is deleted.
S20202, the invalid data acquired in data set is deleted.
S20203, the repeated data acquired in data set is deleted.
S20204, the opposite direction data acquired in data set are deleted.
S203: the data of acquisition are merged.
S20301, assessment are for the height in each data set in the multiple different collection activity of same route and yard
Precision section and low precision section.
S20302, merge respective high-precision section in each data set, obtain the unique of same route or yard
Final data set, the summation comprising the high-precision section data in repeatedly different collection activities in the data set.
It further include that part way in the route and yard to acquisition derives.
S204: linear section derives:
S20401, a known section are linear sections, and at least two high accuracy data in the known linear section
Point.
S20402, the geographic coordinate data according to the high accuracy data point of known linear section, establish corresponding right angle
Coordinate system or spheric coordinate system.
S20403, the coordinate according to known rectilinear point in rectangular coordinate system or spheric coordinate system, establish linear equation.
S20404, the unknown rectilinear point of other in the linear section is derived according to linear equation.
S20405, coordinate of the unknown rectilinear point derived in rectangular coordinate system or spheric coordinate system is reversely converted
At the longitude and latitude of geographical coordinate.
S205: the derivation on at least two lines road with parallel relation:
S20501, known 2 adjacent lines or station track are parallel relation, it is known that the wherein high-precision of a route or station track
Section, it is known that another parallel circuit or at least one high accuracy data point of station track.
S20502, foundation rectangular coordinate system corresponding with geographic coordinate system or spheric coordinate system, by known line or station track
High-precision section data point and parallel circuit or a high accuracy data point of station track are converted into rectangular coordinate system or spherical surface is sat
Point in mark system.
The data point in the high-precision section of S20503, traversal known line or station track, according to parallel circuit or station track
Know high accuracy data point, derives other data points of parallel circuit or station track one by one.
It is S20503, the coordinate of the parallel circuit derived or station track in rectangular coordinate system or spheric coordinate system is reversed
The longitude and latitude being converted in geographic coordinate system.
S206: circle song section derives:
S20601, known one section of route are the bent section of circle, it is known that the section a part of high-precision section therein.
S20602, foundation rectangular coordinate system corresponding with geographic coordinate system or spheric coordinate system, will be in the bent section of known circle
The data point in high-precision section be converted into the point in rectangular coordinate system or spheric coordinate system.
S20603, in rectangular coordinate system or spheric coordinate system, according to the data point in the known bent section of circle, duplication is obtained not
Know the data point in the bent section of circle.
S20604, the coordinate in the unknown bent section of circle derived reversely is converted to longitude in geographic coordinate system and
Latitude.
S207: the derivation of axial symmetry or central symmetry curve circuit:
S20701, known one section of route are curve section, it is known that the section a part of high-precision section therein, it is known that should
The position of the Qu Zhongdian of curve section.
S20702, foundation rectangular coordinate system corresponding with geographic coordinate system or spheric coordinate system, will be in known curve section
The data point in high-precision section be converted into the point in rectangular coordinate system or spheric coordinate system.
S20703, in rectangular coordinate system or spheric coordinate system, the position based on Qu Zhongdian, by the known high-precision of curve
The data point in section, image copying are the data point of the curve section of the another side Qu Zhongdian.
S20704, the longitude and latitude being reversely converted to the coordinate in the curve section derived in geographic coordinate system
Degree.
S208: the derivation of route and track switch with same geometry:
S20801, the geometry of known 2 routes are identical, it is known that the high accuracy data collection of one of route, it is known that
Another route at least two high-precision known data point.
S20802, foundation rectangular coordinate system corresponding with geographic coordinate system or spheric coordinate system, by known 2 route sections
In the data point in high-precision section be converted into the point in rectangular coordinate system or spheric coordinate system.
S20803, in rectangular coordinate system or spheric coordinate system, by the section of known line by rotation, after mirror image, weight
It closes in the known data point of another route.
S20804, the longitude being reversely converted to the coordinate of the point for another route derived in geographic coordinate system
And latitude.
Further include the method derived according to railway LKJ basic data:
A, the corresponding railway LKJ basic data in a known section, it is known that certain high-precision known points in the section.
B, foundation rectangular coordinate system corresponding with geographic coordinate system or spheric coordinate system, by the high accuracy data of known road
The point that point is converted into rectangular coordinate system or spheric coordinate system.
C, in rectangular coordinate system or spheric coordinate system, according to railway LKJ basic data, the mathematical model in section is established.
D, the mathematical model based on section and known data point derive the coordinate of other data points in section.
E, the longitude and latitude being reversely converted to the coordinate for the point derived in geographic coordinate system.
S3: mileage formats, characteristic point and characteristic area identify.
S301: it is based on railway LKJ basic data, determines the mark mileage points in route.
S30101, to can choose in yard switch point before the trouble of main line turnout be mark mileage points.
S30102, it can choose tunnel entrance as mark mileage points.
S30103, the mark mileage points specially acquired when can choose live artificial sampling site.
S30104, according to every 2 marks mileage points, derive the equidistant mileage points between the route between this two o'clock.
S302: feature point identification:
According to railway LKJ basic data, track switch characteristic point, semaphore characteristic point, insulating joint characteristic point, knick point are marked
Characteristic point, access door characteristic point etc..:
S303: characteristic area mark:
According to railway LKJ basic data, yard characteristic area, sta characteristics region, main track characteristic area, station track spy are marked
Levy region, track switch characteristic area, the right rail characteristic area of the left rail of route, road shoulder characteristic area, tunneling features region, bridge characteristic area
Canal characteristic area, line speed characteristic area, curvilinear characteristic region, gradient feature region such as upward slope, descending, flat slope, road are contained in domain
Base characteristic area such as embankment, cutting and dangerous section characteristic area of controlling flood.
S4: it to railway accurately diagram data, is verified.
The length of one section of straight line defined in S401, verifying railway LKJ basic data or curve circuit, with railway high-precision
The length of straight line or curve circuit in map datum, if there are large errors.
The parameter of one section of curve circuit defined in S402, verifying railway LKJ basic data, such as: slow Qu Changdu, circle are bent long
Degree, circle bilge radius, the parameter with curve circuit in railway accurately diagram data, if there are large errors.
S403, verifying railway LKJ basic data in identification point mileage, in railway accurately diagram data
Journey, if there are large errors.
Station track line spacing in S404, verifying railway LKJ basic data, and corresponds to station track in railway accurately diagram data
Line spacing, if there are large errors.
S405, verifying the railway accurately line of shortest length spacing in diagram data between adjacent lines or station track, if exist
Unreasonable place.
Track switch model and parameter in S406, verifying railway LKJ basic data, it is corresponding with railway accurately diagram data
Track switch model and parameter, if there are large errors.
Gradient feature region in S407, verifying railway LKJ basic data, and it is corresponding in railway accurately diagram data
Gradient feature region, if there are large errors.
S5: it to railway accurately diagram data, is persistently safeguarded.
S501, train and inspection equipment, and the route and station yard data that manually acquire periodically are checked.
If S502, having newly-increased or changed route and yard part, repeat the above steps, to obtain the iron of update
Road accurately diagram data.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, apparatus (equipment) or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the present invention
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the flow chart of device (equipment) and computer program product
And/or block diagram describes.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate
One machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions can also be loaded into computer or other programmable data processing devices, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
The above, only the preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, it is any
Those skilled in the art within the technical scope disclosed by the invention, can without the variation that creative work is expected or
Replacement, should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be limited with claims
Subject to fixed protection scope.
Claims (8)
1. a kind of railway high-precision map data processing method, it is characterised in that: the following steps are included:
S1, acquisition Railway Site geographic coordinate data；
S2, the collected geographic coordinate data of S1 is handled, obtains complete high-precision geographic coordinate data；
S3, mileage formatting, characteristic point and characteristic area mark are carried out to the complete high-precision geographic coordinate data that S2 is obtained, obtain
To railway accurately diagram data；
S4, the railway obtained to S3 accurately verify by diagram data；
S5, to railway, accurately diagram data carries out persistence maintenance.
2. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the geographical seat
Mark data include: the latitude of location point, longitude, height and current data precision；
In the step S1 acquire Railway Site geographic coordinate data method the following steps are included:
S101, by data acquisition equipment installation ON TRAINS, using train on the line with the process that is run in yard, showed
Field data acquisition
S102, data acquisition equipment is mounted on inspection equipment, using equipment on the line with the process that is run in yard, into
Row on-site data gathering
S103, data acquisition equipment is carried by staff, the artificial geographic coordinate data acquired in route and yard.
3. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the step S2
In method that collected geographic coordinate data is handled include:
S201, the data of acquisition are analyzed: judges which is geodata related with field device, which is and scene
Device-independent geodata rejects the geodata unrelated with field device；
S202, the data of acquisition are cleared up: reject because caused by stopping or moving back and forth repeat or extra geographical coordinate
Data；
S203, the data of multi collect are merged, replaces low accuracy data with high accuracy data.
4. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the step S2
In method that collected geographic coordinate data is handled include the side derived to collected geographic coordinate data
Method carries out reference using railway LKJ basic data, which comprises
S204, the derivation for straight path: known one section of high-precision section therein is derived according to railway LKJ basic data
The geographic coordinate data of other unknown position points on the straight path；
S205, the derivation for at least two lines road with parallel relation: the high-precision section of a known wherein route, root
The geographical of the unknown position point on another route on the corresponding section with parallel relation is derived according to railway LKJ basic data to sit
Mark data；
S206, the derivation for circular curve road: the known wherein bent high-precision section of one section of circle, according to railway LKJ basic data
Derive the geographic coordinate data of other unknown position points of circular curve road；
S207, the derivation for axial symmetry or central symmetry curve circuit: the curve section and symmetry axis or right of known a part
Claim midpoint geographic coordinate data, is derived on the known corresponding symmetrical curve section of curve section not according to railway LKJ basic data
Know the geographic coordinate data of location point；
S208, the derivation for route and track switch with same geometry: a known wherein route and track switch it is high-precision
Section is spent, is derived on another route on the route of corresponding same geometry and track switch not according to railway LKJ basic data
Know the geographic coordinate data of location point.
5. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the step S3
In complete high-precision geographic coordinate data that step S2 is obtained carry out mileage formatting, characteristic point and characteristic area and identify, obtain
Method to railway accurately diagram data includes:
S301, mileage format: the geographic coordinate data of route and yard station track is formatted as to the sequence of equidistant position point,
And corresponding mileage value is assigned for each location point according to the definition of railway LKJ basic data；
S302, feature point identification: according to railway LKJ basic data, track switch characteristic point, semaphore characteristic point, insulating joint are marked
Characteristic point, knick point characteristic point, access door characteristic point；
S303, characteristic area mark: according to railway LKJ basic data, label yard characteristic area, sta characteristics region, main track
The right rail characteristic area of characteristic area, station track characteristic area, track switch characteristic area, the left rail of route, road shoulder characteristic area, tunneling features
Canal characteristic area, line speed characteristic area, curvilinear characteristic region, gradient feature region, road, are contained at bridge characteristic area in region
Base characteristic area and dangerous section characteristic area of controlling flood.
6. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the step S4
According to railway LKJ basic data to the obtained railway method that accurately diagram data is verified of S3 the following steps are included:
S401, length verifying: the length and railway of one section of straight line defined in verifying railway LKJ basic data or curve circuit are high
The length of straight line or curve circuit in precision map datum, if there is the error more than threshold value；
S402, parameter of curve verifying: the parameter and railway of one section of curve circuit defined in verifying railway LKJ basic data are high-precision
Spend the parameter of curve circuit in map datum, if there is the error more than threshold value；
S403, mileage verifying: the mileage and railway of the identification point in verifying railway LKJ basic data are accurately in diagram data
Mileage, if there is the error more than threshold value；
S404, the verifying of line spacing: the station track line spacing and railway in verifying railway LKJ basic data are accurately right in diagram data
Answer the line spacing of station track, if there is the error more than threshold value；
S405, the verifying of most short spacing: the verifying railway accurately line of shortest length spacing in diagram data between adjacent lines or station track,
With the presence or absence of the place for being more than threshold value；
S406, track switch verifying: track switch model and parameter and railway in verifying railway LKJ basic data are accurately in diagram data
Corresponding track switch model and parameter, if there is the error more than threshold value；
S407, signature verification: gradient feature region and railway in verifying railway LKJ basic data are accurately in diagram data
Corresponding gradient feature region, if there is the error more than threshold value.
7. a kind of railway high-precision map data processing method according to claim 1, it is characterised in that: the step S5
Step S4 is executed using the fixed cycle to the railway method that accurately diagram data carries out persistence maintenance, is repeated when failing the authentication
Step S1 to S4.
8. according to claim 1 to a kind of accurately diagram data system of railway described in any one in 7, it is characterised in that:
It further include the acquisition terminal for acquiring the geographic coordinate data of Railway Site and the processor for executing step S1-S5.
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