CN108763808A - A kind of underground utilities geometric data fusion method - Google Patents
A kind of underground utilities geometric data fusion method Download PDFInfo
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- CN108763808A CN108763808A CN201810578422.5A CN201810578422A CN108763808A CN 108763808 A CN108763808 A CN 108763808A CN 201810578422 A CN201810578422 A CN 201810578422A CN 108763808 A CN108763808 A CN 108763808A
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- G—PHYSICS
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Abstract
Include that space correlation positioning is carried out to the underground utilities semantic data of acquisition the invention discloses a kind of underground utilities geometric data fusion method；Linear matched is carried out to the pipeline operation/maintenance data with the elements of a fix；Spatial Dimension conversion is carried out to the data with space orientation feature.Underground utilities geometric data fusion method of the present invention is established with the pipeline data conversion mathematical model of semantic association mathematical model, spatial data linear matched mathematical model, Spatial Dimension mark between spatial data, is formd a set of to the effective method of underground utilities data fusion.Rambling underground utilities ontology, O&M and environmental data are realized into integrated organization and management, the potential security risk for obtaining for comprehensive analysis and accurately pipeline operation is laid a solid foundation.It has the value of popularization and application.
Description
Technical field
The present invention relates to geographic information processing technical field more particularly to a kind of being related to multi-level, multidimensional underground utilities
Geometric data fusion method.
Background technology
Underground utilities carry the important duty of energy transport, are that the important basis in city is set as city " lifeline "
It applies.The safety accident as caused by underground utilities accident, not only affects the daily normal life of the public, serious accident it is quick-fried
It returns the person and property safety of the serious damage public.
Underground Pipeline Data storage mostly uses the means such as paper drawing, electronic document, multimedia greatly, leads to pipeline data not
Comprehensively, Up-to-date state is strong, the not high present situation of data standard disunity, precision.In underground pipeline informationization construction, information system
It is carrier, pipeline data are cores.Between each synthetical city underground pipeline administrative department of China and pipeline unit, pipeline unit it
Between, the data model between pipeline surveying and surveying and mapping unit it is inconsistent, data structure, layering are easy to be formed there are larger difference
Pipeline data ＂ isolated island ＂, it is shared and utilize to influence pipeline information.Integrated data organization and management help to carry out ground
The research of underground pipelines security even analysis and disaster alarm mechanism.
Invention content
The purpose of the present invention is that solve the above-mentioned problems and provides a kind of underground utilities geometric data fusion method.
The present invention is achieved through the following technical solutions above-mentioned purpose：
The present invention includes the following steps：
(1), space correlation positioning is carried out to the underground utilities semantic data of acquisition；
(2), linear matched is carried out to the pipeline operation/maintenance data with the elements of a fix；
(3), Spatial Dimension conversion is carried out to the data with space orientation feature after step (2).
Further, carrying out space correlation positioning to the underground utilities semantic data of acquisition in the step (1) is specially：It is logical
It crosses geographical national conditions data and preliminary matches positioning is carried out to semantic data, then be accurately positioned with method of geometry.
Further, linear matched is in the step (2)：Pipeline is asked to the pipeline operation/maintenance data solution with the elements of a fix
Process apart from closest approach.
Further, data space dimension transformation includes in the step (3)：One-dimensional space data turn to two-dimensional space data
It changes mathematical model and 2-D data and converts mathematical model to three-dimensional space data.
The beneficial effects of the present invention are：
The present invention is a kind of underground utilities geometric data fusion method, and compared with prior art, invention solves
The problem of long-term Decentralization of Underground Pipeline Data, data are lack of standardization, information " isolated island ".Underground Pipeline Data fusion method is
The ontology of underground utilities, O&M and environment three categories data effectively organize and be managed collectively, the complete of underground utilities is formed
Dimension data realizes the integration of Underground Pipeline Data, is comprehensive analysis and accurately obtains the potential security risk of pipeline operation
It lays a solid foundation.The value specifically promoted and applied.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is semantic data computational geometry central flow figure；
Fig. 3 is to calculate simple rule polygon geometric center figure；
Fig. 4 is to calculate complex polygon geometric center figure；
Fig. 5 is to carry out linear matched schematic diagram to the point with the elements of a fix；
To calculate, underground utilities are one-dimensional to turn two-dimensional coordinate d to Fig. 6<d1Situation schematic diagram；
To calculate, underground utilities are one-dimensional to turn two-dimensional coordinate d to Fig. 7>d1Situation schematic diagram；
Fig. 8 is to calculate underground utilities D reconstruction coordinate schematic diagram.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings：
A kind of underground utilities geometric data fusion method of the present invention is by taking underground gas pipeline as an example.Flow chart as shown in Figure 1,
It comprises the steps of：
Step 1) is determined by covering the geographical national conditions data of underground utilities and to underground utilities semantic data be tentatively associated with
Position, then be accurately positioned with method of geometry.
Such as " areas xx of the cities the xx towns xx ", " Unit one, the apartments xx No.1 building ", 6 building, Unit one, the apartments xx No.1 building " No. 3 " etc., this
A little descriptions do not have any direct space orientation coordinate data, but people can know description object according to these descriptions
Position.These location informations are existing large range of such as " cities xx ", also have and more accurately describe, such as " the apartments xx No.1
Unit one, building ", also expresses three-dimensional spatial information, such as 6 building, Unit one, the apartments xx No.1 building " No. 3 ".These data by with
The spatial orientation information that family obtains after understanding is known as semantic space information.
Pipeline institute may be assumed that as plane polygon that this polygon may be rule, irregular through area or building
And complex polygon.Assuming that the surface density of following all polygons is equal, then the center of gravity and geometric center of object overlap.Cause
This, it would be desirable to existing location data and geometrical relationship by mathematical computations come determine pipeline in the geometry through area
Heart coordinate.
By the associated polygon of Primary Location there are three kinds of situations, pipeline institute is completely covered through region in these three situations,
Situations such as including residential building, city, mountainous region, lake, the islands Hu Zhongyou.The flow at computational geometry center is as shown in Figure 2 in the case of three kinds.
1, simple rule polygon geometric center is calculated
When user house of the pipeline Jing Guo regular shape, its corner coordinate, such as Fig. 3 can be obtained by house foundation data
In, A, B, C are that can obtain coordinate points, D points can by B, C 2 points find out.Note A point coordinates is (x1, y1), B point coordinates is (x2,
y2), C point coordinates is (x3, y3), D point coordinates is (x4,y4),G1Point coordinates is (x, y).Because surface density is equal, therefore the midpoint G of AD1
For 101 Room focus points.
In order to protrude the symmetrical aesthetics of building, most of buildings, porch are symmetric design, then by D point coordinatesG1Point coordinatesG can be obtained1Point coordinates isI.e.
In Room 102, Room 103, Room 104, the center of gravity of certain room i is
The two-dimensional coordinate of pipeline position point is only acquired above, its three-dimensional coordinate can be acquired by number of floor levels：The height of its kth layer
Cheng Wei：The ground Z=(k-1) * Δ H+ point height.Wherein, Δ H is story height, and in China, house height generally takes Δ H=
2.9m, number of plies k can be obtained by number in semantic information.Such as：Room number is 524, then a height of 11.6m in building, pipeline point height Z=
Ground point height+11.6m.
2, simple irregular polygon geometric center is calculated
The method for seeking simple irregular polygon geometric center is：If there is N number of discrete data point (x in plane polygoni,
Yi) (i=1,2 ..., n), polygon geometric center G (x, y) is:
3, complex polygon geometric center is calculated
In practical problem, pipeline may be laid in many complicated landforms, and center of gravity or geometric center may be in figures
On, it is also possible to except figure, also there is irregular complex (for example having hole etc. containing island, in Dong , Island) polygon.Therefore we need
It finds in it a bit, for describing pipeline physical location.
As shown in figure 4, when handling complex polygon, can use based on minimum circumscribed rectangle (Minimum Bounding
Rectangle, MBR) interior automatic generating calculation acquire its Polygonous node.Algorithm steps are as follows：
1. making the circumscribed rectangle of minimum of the complex polygon, and calculate the length X and width Y of the polygon.
2. judging the size of X, Y, X in Fig. 4 (a)>Y makees have multiple Y with polygon perpendicular to the straight line L, L of X at X/2
Sequence intersection point obtains { Y to these intersection point sortings1,Y2,…Yn}。
3. subscript odd even pairing is carried out to the Sorted list, by straight line and polygon overlapping relation it is found that sequence after pairing
Shaped like Y1Y2,Y3Y4,…,YiYi+1, the line segment corresponding to this sequence is all located at polygonal internal, therefore interior point can be from these sequences
It is generated in line segment.
4. find out maximum one group of section in these sequences, i.e., apart from maximum intersection point section, then the Polygonous node coordinate
For ((Xmin+Xmax)/2, (Yi+Yi+1)/2)。
For irregular complex polygon of the inside containing island, hole etc., there are following algorithm steps：
1. calculating the circumscribed rectangle of minimum comprising island, Cave polygon.
2. calculating separately the minimum circumscribed rectangle of entire complex polygon and the circumscribed rectangle of minimum comprising island, Cave polygon existing
X, the deviation in Y-direction, deviation are denoted as：X1, X2, Y1, Y2, and find out maximum Y2。
3. in Y2Make the straight line perpendicular to Y-axis at/2, subsequent processing steps are consistent with above-mentioned complex polygon.
Step 2) carries out linear matched to the pipeline operation/maintenance data with the elements of a fix.
Linear matched data are related to two parts data, and one is pipeline inspection personnel in inspection pipeline process, certain
Position does not acquire the coordinate of accurate location due to various reasons, and some station acquisition is to the coordinate near pipeline.The
Two kinds are by the data acquired in GNSS, and this data are by GNSS oneself factors, sample frequency, weather conditions, surrounding enviroment etc.
Influence, always there are certain errors with practical accurate location for the data that GNSS receiver receives.
In Fig. 5 (a), projections of the O on pipeline AB falls the C points on AB, then the shortest distance of O to AB is O to AB
Vertical range OC, C point be linear matched point；If the projection of coordinate points to pipeline is fallen on the extended line of pipeline, generally
Take the shortest distance of the point to the minimum value of pipeline head or terminal distance as point to pipeline.P is on pipeline DE in Fig. 5 (b)
Projection fall on the extended line of DE, then the distance of P to DE is exactly the smaller value of P to DE two-end-point D, E distances, i.e. E points.Below
For detailed calculating process.
(1) C points are linear matched point.
If O point coordinates is (x0,y0), A point coordinates is (x1,y1), B point coordinates is (x2,y2), C point coordinates is (x, y).
ByIt can obtain：
At this time obtained x, y be matched point C coordinate.
(2) E points are linear matched point, and coordinate is pipeline inflection point coordinate.
Acquired operation/maintenance data is carried out dimension transformation by step 3).
Linear reference is in the related sector application of the geography information such as pipe network and highway using extensive.Linear reference is that one kind is adopted
A kind of method in geographical location is preserved with along measurable linear element relative positioning, suitable for the event positioned along the line.
When burning line carries out Magnetic Flux Leakage Inspecting, many is located along the relative position and absolute position of (song) line to record,
For example, recording the location information of pipeline magnetic flux leakage defect using standard as " along 3 meters to the east of 17 mile marker 20 of pipeline ".These
Data are often to be indicated in the form of one-dimensional, therefore we need by calculating two three-dimensional sitting acquiring pipeline record point
Mark.
(1) one-dimensional space data are to two-dimensional space data conversion mathematical model.Pipe string is recorded, A points are starting point, B
Point is known inflection point, and P points are the location point that is recorded.Distances of the P apart from starting point A is it is known that be denoted as d, distances of the B apart from starting point A
For d1。
1. as shown in fig. 6, working as d<d1When, note A point coordinates is (x1,y1), B point coordinates is (x2,y2), C point coordinates is (x3,
Y3), P point coordinates is (x, y), is obtained by linear relationship：X, y-coordinate can be obtained：
Wherein,
2. as shown in fig. 7, working as d=d1+d2>d1When, i.e. for P points between B, C, P is d apart from starting point A distances.ByX can be obtained, y-coordinate is：
Wherein：
3. working as d=d1When, P points and C points overlap, i.e., record point is exactly known turning point.
(2) two-dimensional space data convert mathematical model to three-dimensional space data.By two-dimensional coordinate obtained by (1) with it is following required
Elevation h superpositions can obtain three-dimensional coordinate.As shown in figure 8, B point heights are h1, P point heights are h.ByIts
In：That is the three-dimensional coordinate
For (x, y, h).
The basic principles and main features and advantages of the present invention of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its
Equivalent thereof.
Claims (6)
1. a kind of underground utilities geometric data fusion method, which is characterized in that include the following steps：
(1), space correlation positioning is carried out to the underground utilities semantic data of acquisition；
(2), linear matched is carried out to the pipeline operation/maintenance data with the elements of a fix；
(3), Spatial Dimension conversion is carried out to the data with space orientation feature after step (2).
2. underground utilities geometric data fusion method according to claim 1, it is characterised in that：It is right in the step (1)
The underground utilities semantic data of acquisition carries out space correlation positioning：Semantic data is carried out just by geographical national conditions data
Step matching positioning, then be accurately positioned with method of geometry.
3. underground utilities geometric data fusion method according to claim 1, it is characterised in that：Step (2) center line
Property matching be：Process of the pipeline apart from closest approach is asked to the pipeline operation/maintenance data solution with the elements of a fix.
4. underground utilities geometric data fusion method according to claim 1, it is characterised in that：Number in the step (3)
Include according to Spatial Dimension conversion：One-dimensional space data are to two-dimensional space data conversion mathematical model and 2-D data to three dimensions
Data conversion mathematical model.
5. underground utilities geometric data fusion method according to claim 2, it is characterised in that：It is described pinpoint several
Where method is specially：Simple rule polygon geometric center is calculated, simple irregular polygon geometric center is calculated, calculates complexity
Polygon geometric center；
The calculating simple rule polygon geometric center：
When user house of the pipeline Jing Guo regular shape, its corner coordinate can be obtained by house foundation data, A, B, C are can
Obtain coordinate points, D points can by B, C 2 points find out, note A point coordinates be (x1, y1), B point coordinates is (x2, y2), C point coordinates is (x3,
y3), D point coordinates is (x4,y4),G1Point coordinates is (x, y).Because surface density is equal, therefore the midpoint G of AD1For 101 Room focus points；
In order to protrude the symmetrical aesthetics of building, most of buildings, porch are symmetric design, then by D point coordinatesG1Point coordinatesG can be obtained1Point coordinates is
That is the center of gravity of certain room i is
The two-dimensional coordinate for only acquiring pipeline position point above acquires its three-dimensional coordinate by number of floor levels：
The elevation of its kth layer is：Wherein, Δ H is story height to the ground Z=(k-1) * Δ H+ point height, takes Δ H=2.9m, root
The high data in building are obtained according to number of plies k, the ground pipeline point height Z=point height+building is high；
It is described to calculate simple irregular polygon geometric center：
If there is N number of discrete data point (x in plane polygoni,yi) (i=1,2 ..., n), polygon geometric center G (x, y)
For:
The calculating complex polygon geometric center：
When handling complex polygon, can be acquired in its polygon with based on interior automatic generating calculation of minimum circumscribed rectangle
Point, algorithm steps are as follows：
1. making the circumscribed rectangle of minimum of the complex polygon, and calculate the length X and width Y of the polygon；
2. judging the size of X, Y, make there are multiple Y sequences intersection points with polygon perpendicular to the straight line L, L of X at X/2, to these friendships
Point sequence obtains { Y1,Y2,…Yn}；
3. subscript odd even pairing is carried out to the Sorted list, by straight line and polygon overlapping relation it is found that sequence after pairing shaped like
Y1Y2,Y3Y4,…,YiYi+1, the line segment corresponding to this sequence is all located at polygonal internal, therefore interior point is from these sequential strokes
It generates；
4. finding out maximum one group of section in these sequences, i.e., apart from maximum intersection point section, then the Polygonous node coordinate is
((Xmin+Xmax)/2, (Yi+Yi+1)/2)。
6. underground utilities geometric data fusion method according to claim 2, it is characterised in that：The calculating is complicated polygon
In shape geometric center step, it is directed to the internal irregular complex polygon containing island, hole etc., there are following algorithm steps：
1. calculating the circumscribed rectangle of minimum comprising island, Cave polygon；
2. calculate separately the minimum circumscribed rectangle of entire complex polygon and comprising island, Cave polygon the circumscribed rectangle of minimum in X, Y
Deviation on direction, deviation are denoted as：X1, X2, Y1, Y2, and find out maximum Y2；
3. in Y2Make the straight line perpendicular to Y-axis at/2, subsequent processing steps are consistent with above-mentioned complex polygon.
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| CN110489509A (en) * | 2019-08-19 | 2019-11-22 | 北京讯腾智慧科技股份有限公司 | Gas pipeline survey report generation method and system |
| CN114048189A (en) * | 2021-11-15 | 2022-02-15 | 成都垣景科技有限公司 | Dynamic segmentation-based long-distance gas transmission pipeline space-time data fusion system and method |
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