CN110232734A - A kind of digitalized processing method of in-service pipeline data - Google Patents
A kind of digitalized processing method of in-service pipeline data Download PDFInfo
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Abstract
The invention belongs to the technical fields of pipeline information management, disclose a kind of digitalized processing method of in-service pipeline data, interior detection data and ground surveying and mapping data are compared calibration by fuzzy matching module by the present invention, avoid the larger problem of error existing for traditional internal detector, increase the precision of interior detection data, the digitized precision of pipeline data is improved, the accuracy to pipeline information management is improved.The present invention can be also modified by the artificial internally digitized result of detection data, can be reduced calculating error, be improved the precision of pipeline data, the accuracy of raising again to pipeline information management；In addition, the tables of data that the present invention can also be formed in conjunction with outer detection data obtains the potential risk of pipeline by being overlapped comparison with pipeline data digitlization.By above-mentioned design, the management to pipeline integrality and the integrality of duct size information are improved, staff is facilitated to carry out real-time management according to duct size information.
Description
Technical field
The present invention relates to the technical fields of pipeline information management, and in particular to a kind of digitized processing of in-service pipeline data
Method.
Background technique
With the deep propulsion of pipeline integrity management, the development of computer information technology and Application of Digitized Pipeline concept
It proposes, pipeline operator is also further strong to the digitized demand of pipeline.For the digitlization of in-service pipeline, current industry is logical
The acquisition that Inertial Measurement Unit carries out in-service pipeline feature digitalized data is carried frequently with internal detector, and this method exists
Following deficiency: (1) the realization condition of internal detector is more harsh, is easy to be influenced (such as pipeline by a variety of uncontrollable factors
Operating pressure, running environment, the detector speed of service, ground calibration point installation position and spacing, scaling point coordinate precision etc.),
The data fluctuations that will cause acquisition are big, and measurement inaccuracy causes precise digitization error larger, influences to the accurate of duct size information
Management；(2) using internal detector detection not there is only the error in pipeline axial direction, there is also the error on pipe level direction,
The error of the pipeline feature digitalized data further increased also reduces the accuracy management to duct size information；(3) can only
The coordinate data of pipeline body feature is obtained, pipeline other data (such as pipeline laying environmental data, buried depth of pipeline are unable to get
Deng), cause the digitlization of pipeline imperfect, influences the Integrity Management to duct size information.
Summary of the invention
In order to solve the existing error of existing in-service pipeline digitlization greatly and data it is imperfect and caused by pipeline entirety
Information inaccuracy and imperfect problem, that the purpose of the present invention is to provide a kind of pipeline digitizer errors is small, accuracy is high, pipeline
Data integrity is high, improves the digitalized processing method of the in-service pipeline data of pipeline information management accuracy and integrality.
The technical scheme adopted by the invention is as follows:
A kind of digitalized processing method of in-service pipeline data, comprising the following steps:
S101. the ground surveying and mapping data of pipeline is imported the first three-dimensional modeling module to model, obtains the first three-dimensional tube
Move towards figure in road, wherein the ground surveying and mapping data is ground centreline data；
S102. the interior detection data of pipeline is imported two-dimentional modeling module to model, obtains two-dimentional pipeline rout figure；
S103. first three-dimensional tube is moved towards into figure and the two-dimentional pipeline rout figure imports fuzzy matching module, led to
It crosses the fuzzy matching module and figure progress Data Matching is moved towards to the two-dimentional pipeline rout figure and first three-dimensional tube, mention
It takes out in two-dimentional pipeline rout figure and moves towards the matched data that the data in figure match with the first three-dimensional tube, and will
Then the matched data extracts the total data in two-dimentional pipeline rout figure, as calculating as reference data again
Data；
S104. the reference data is exported to the human-computer interaction interface, the calculating data is exported to the first number
Word computing module；
S105. spatialization calculating is carried out to data are calculated by the first digitlization computing module, data will be calculated and turned
Turn to three-dimensional coordinate data；
S106. the three-dimensional coordinate data is exported to the second three-dimensional modeling module and is modeled, obtain the second three-dimensional tube
Move towards figure in road；
S107. first three-dimensional tube is moved towards into figure and second three-dimensional tube moves towards figure and is transmitted to human-computer interaction circle
Face；
S108. it is obtained by the human-computer interaction interface and figure and first three-dimensional tube is moved towards to second three-dimensional tube
It moves towards figure and carries out the matched correction result of artificial image's accuracy in road, wherein imaging accuracy matching is according to the first three-dimensional tube
It moves towards the data that the reference data in figure is moved towards the second three-dimensional tube in figure and carries out data correction, the correction result in road
After figure is modified is moved towards to the second three-dimensional tube and in the second three-dimensional tube including moving towards figure according to the first three-dimensional tube
Move towards the total data in figure；
S109. the correction result is exported to the second digitlization computing module, and is calculated by second digitlization
Module carries out digitlization calculating, obtains pipeline digitalized data；
S110. the tables of data obtained according to outer detection data is imported into figure and shows operational module, pass through the figure exhibition
Show that the tables of data and the pipeline digitalized data are overlapped comparison by operational module, show that pipeline potential risk estimates journey
Degree.
Optimization, after the step S101 and further comprising the steps of before the step S102:
S101a. first three-dimensional tube is moved towards into figure and imports smoothing module, and pass through the smoothing module
Figure is moved towards to first three-dimensional tube to be smoothed.
Optimization, after the step S101 and further comprising the steps of before the step S102:
S101b. first three-dimensional tube is moved towards into figure and imports the figure displaying operational module, pass through the figure exhibition
Show that operational module moves towards figure to first three-dimensional tube and carries out quality examination, and is modified according to following formula；
Wherein R is pipeline elastic bending radius of curvature in formula, and unit m, α are the crank degree of pipeline, and D is outside pipeline
Diameter, unit cm.
Specifically, the quality examination in the step S101b includes the sawtooth processing that first three-dimensional tube moves towards figure
Completing inspection, the inspection of sawtooth excess processes and sawtooth, accidentally processing checks.
Specifically, the ground surveying and mapping data is ground centreline data, the ground centreline data includes measurement point
The buried depth of number, measurement point coordinate data and measurement point.
Specifically, the interior detection data includes defective data, pipeline feature data and pipeline-weld list.
Specifically, pipeline digitlization data include the coordinate data of all objects of pipeline detection, buried depth data and
Geographical data.
Specifically, the outer detection data includes high consequence area data, coating damage point data and cathodic protection potential number
According to, wherein the high consequence area data include the start-stop point coordinate and the area Gao Houguo level data in high consequence area.
Specifically, the tables of data in the step S109 shows that operational module generates by the figure.
The invention has the benefit that
(1) on the one hand, the present invention is by using the ground surveying and mapping data of pipeline and the interior detection data of pipeline as pipeline
Feature digitalized data, and be with ground surveying and mapping data by interior detection data by fuzzy matching module and human-computer interaction interface
Standard is corrected, and is effectively reduced the generation of error, avoid conventional pipelines feature digitalized data collection be easy by
It is influenced to extraneous factor and leads to the problem of large error, greatly improved the digitized precision of pipeline, improve to pipeline
The accuracy of information management；On the other hand, the calculating data obtained by fuzzy matching module are passed through the first number by the present invention
Change computing module and carry out spatialization calculating, design in this way, due to the centreline data that ground surveying and mapping data is pipeline, that is, manages
The axial data in road, and when internal detection data is corrected by fuzzy matching module, it is to be by ground surveying and mapping data
Standard is corrected, so can be by the control errors of the digitalized data of pipeline in pipeline axis when carrying out digitlization and calculating
To further reducing error range, increase the digitized precision of pipeline data, further improve to pipeline information management
Accuracy；In addition, the present invention is also built the three-dimensional coordinate data obtained through the first digitlization computing module by the second three-dimensional
Mould module carries out three-dimensional modeling, obtains the second three-dimensional tube and moves towards figure, and is walked by human-computer interaction interface to the second three-dimensional tube
The matching that figure carries out artificial figure accuracy is moved towards to figure and the first three-dimensional tube, and according to the ginseng generated by simulation matching module
Data are examined, moving towards figure using the first three-dimensional tube is carrier, i.e., moves towards the reference data in figure to the two or three with the first three-dimensional tube
Data in dimension pipeline rout figure are modified, and revised second three-dimensional tube is finally moved towards the data in figure by second
Digitlization computing module is calculated, and is obtained pipeline digitalized data, is designed in this way, can be in two-dimentional pipeline rout figure
The digitlization calculated result of interior detection data calibrated and corrected, it is further to improve the digitized precision of pipeline, again
The accuracy for improving pipeline information management.
(2) present invention is in addition to that can obtain the centreline data and pipe of pipeline by ground surveying and mapping data and interior detection data
Outside the data of road feature itself, moreover it is possible to obtain pipeline laying environmental data, buried depth of pipeline when carrying out the measurement of ground surveying and mapping data
Data, pipeline are worn across bury point data and pipeline adjunct data, can preferably realize the digitlization of pipeline, are that pipeline is complete
The management of whole property provides substantial data and supports, improves the Integrity Management of duct size information.
(3) the present invention also provides outer detection datas, and comparison can be overlapped with pipeline digitalized data, can be derived that
The potential risk of pipeline can carry out potential risk to pipeline and estimate, further increase the management to pipeline integrality, more
Good realization is to the management of duct size information accuracy and the management of integrality.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow diagram of the digitalized processing method of in-service pipeline data provided by the invention.
Specific embodiment
The present invention is further elaborated combined with specific embodiments below.It should be noted that for these implementations
The explanation of example mode is used to help understand the present invention, but and does not constitute a limitation of the invention.
Term "and/or" in text, only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A, individualism B exist simultaneously tri- kinds of situations of A and B, the terms
"/and " it is to describe another affiliated partner relationship, indicate may exist two kinds of relationships, for example, A/ and B, can indicate: individually depositing
In A, two kinds of situations of individualism A and B, in addition, character "/" herein, typicallying represent forward-backward correlation object is a kind of "or" pass
System.
Embodiment one
As shown in Figure 1, the digitalized processing method of in-service pipeline provided by the present embodiment, include the following steps S101~
S110。
S101. the ground surveying and mapping data of pipeline is imported the first three-dimensional modeling module to model, obtains the first three-dimensional tube
Move towards figure in road, wherein the ground surveying and mapping data is ground centreline data.
S102. the interior detection data of pipeline is imported two-dimentional modeling module to model, obtains two-dimentional pipeline rout figure.
S103. first three-dimensional tube is moved towards into figure and the two-dimentional pipeline rout figure imports fuzzy matching module, led to
It crosses the fuzzy matching module and figure progress Data Matching is moved towards to the two-dimentional pipeline rout figure and first three-dimensional tube, mention
It takes out in two-dimentional pipeline rout figure and moves towards the matched data that the data in figure match with the first three-dimensional tube, and will
Then the matched data extracts the total data in two-dimentional pipeline rout figure, as calculating as reference data again
Data.
S104. the reference data is exported to the human-computer interaction interface, the calculating data is exported to the first number
Word computing module.
S105. spatialization calculating is carried out to data are calculated by the first digitlization computing module, data will be calculated and turned
Turn to three-dimensional coordinate data.
S106. the three-dimensional coordinate data is exported to the second three-dimensional modeling module and is modeled, obtain the second three-dimensional tube
Move towards figure in road.
S107. first three-dimensional tube is moved towards into figure and second three-dimensional tube moves towards figure and is transmitted to human-computer interaction circle
Face.
S108. it is obtained by the human-computer interaction interface and figure and first three-dimensional tube is moved towards to second three-dimensional tube
It moves towards figure and carries out the matched correction result of artificial image's accuracy in road, wherein imaging accuracy matching is according to the first three-dimensional tube
It moves towards the data that the reference data in figure is moved towards the second three-dimensional tube in figure and carries out data correction, the correction result in road
After figure is modified is moved towards to the second three-dimensional tube and in the second three-dimensional tube including moving towards figure according to the first three-dimensional tube
Move towards the total data in figure.
S109. the correction result is exported to the second digitlization computing module, and is calculated by second digitlization
Module carries out digitlization calculating, obtains pipeline digitalized data.
S110. the tables of data obtained according to outer detection data is imported into figure and shows operational module, pass through the figure exhibition
Show that the tables of data and the pipeline digitalized data are overlapped comparison by operational module, show that pipeline potential risk estimates journey
Degree.
As shown in Figure 1, the digitalized processing method of the in-service pipeline data is explained in detail below:
The ground surveying and mapping data has carried out external mapping to entire pipeline, has measured the trend and buried depth of pipeline, and has incited somebody to action
Ground surveying and mapping data imports the first three-dimensional modeling module, then it can be concluded that first three-dimensional tube moves towards figure, and first is three-dimensional
Pipeline rout figure is then used as the standard of pipeline to move towards figure, is calibrated and is corrected to internal detection data.
In the present embodiment, it is obtained when the measurement of ground surveying and mapping data by RTK measuring instrument, RTK measuring instrument is
A kind of existing equipment, concrete model citing are as follows: middle sea reaches V30 Beidou version GNSS RTK instrument of surveying and mapping.
The interior detection data is the characteristic of pipeline itself, can represent the state of pipeline itself, i.e., interior detection
The digitized precision of data determines the accuracy to pipeline information management, and the precision of interior detection data is higher, number
The error of change is smaller, and the accuracy of pipeline information management is higher, more actual can reflect the information of pipeline itself, be convenient for
Staff is managed pipeline.
In the present embodiment, interior detection data is obtained by Magnetic Flux Leakage Inspecting tool or ultrasound detection tool, leakage field inspection
Survey tool and ultrasound detection tool are a kind of existing equipment.
The two dimension modeling module can establish the two-dimentional pipeline rout figure of pipeline according to interior detection data, and pass through fuzzy
Figure is moved towards to two-dimentional pipeline rout figure and the first three-dimensional tube with module and carries out Data Matching, to two-dimentional pipeline rout figure according to the
One three-dimensional tube moves towards figure and carries out characteristic matching, on the one hand extracts and moves towards in two-dimentional pipeline rout figure with the first three-dimensional tube
The matched data that data in figure match, and using matched data as reference data, manually schemed at man-machine interactively interface
When as accuracy matching, figure is moved towards to the second three-dimensional tube as standard and is modified, two-dimentional pipe is on the other hand also extracted
Road moves towards the total data in figure and carries out spatialization algorithm, obtains three-dimensional coordinate data.By above-mentioned design, i.e., two-dimentional pipeline is walked
Interior detection data into figure then can be calibrated and be corrected with ground surveying and mapping data by step S103, and interior testing number is reduced
According to error, increase in detection data digitized precision, improve the accuracy to pipeline information management.
In the present embodiment, the simulation matching module is a kind of prior art.
First digitlization computing module is used to carry out spatialization algorithm to matched data, can will be in two-dimentional pipeline rout figure
Data be converted into three-dimensional coordinate data, be to pass through ground when being corrected due to interior detection data by fuzzy matching module
Surveying and mapping data is corrected for standard, and ground surveying and mapping data is the axial data of pipeline, so, it is digitized in carry out first
When computing module is calculated, it can by the control errors of interior detection data in pipeline axial direction, avoid pipe level direction
Error, the further precision for improving interior detection data, and then precise digitization is improved, increase the accurate of pipeline information management
Property.
The second three-dimensional modeling module can establish the second three-dimensional tube according to three-dimensional coordinate data and move towards figure, staff
Figure can be moved towards to the first three-dimensional tube by human-computer interaction interface and the second three-dimensional tube moves towards figure and carries out figure accuracy matching,
I.e. by manually to the first three-dimensional tube move towards figure and the second three-dimensional tube move towards figure progress imaging accuracy matching, due to refer to
Data are also that the first three-dimensional tube moves towards data in figure, so the reference data in figure can be moved towards by the first three-dimensional tube
Figure is moved towards to the second three-dimensional tube to be modified.By above-mentioned design, figure can be moved towards to the second three-dimensional tube to be modified, and
Second three-dimensional tube moves towards figure and then represents three-dimensional coordinate data, can improve the precision of three-dimensional coordinate data, and then improve
The precision of interior detection data reduces the error of interior detection data, improves the digitized precision of pipeline data, improves to duct size information
The accuracy of management.
In the present embodiment, in order to improve the precision for moving towards data correction in figure to the second three-dimensional tube, except with reference
Data are that can also move towards the total data in figure outside standard using the first three-dimensional tube and compare amendment as standard.
The second digitlization computing module is then that correction result is carried out to digitlization calculating to get the digitlization of pipeline out
The information of pipeline itself can be obtained by the digitalized data of pipeline for data, can comprehensively be managed pipeline.
In the present embodiment, the first digitlization computing module and the second digitlization computing module are same, and first counts
For word computing module as the algorithm used in the second digitlization computing module, first digitizes the three-dimensional that computing module obtains
Coordinate data is also pipeline digitalized data in fact, and the second digitlization computing module is then to digitize computing module to first time
Result calculated again so that result is more accurate.
In the present embodiment, after obtaining pipeline digitalized data, it can also show that operational module generates most by figure
Whole pipeline rout three-dimensional figure, then moves towards figure with the first three-dimensional tube and compares again, that is, error correction is repeated, with
Guarantee the error very little of the pipeline digitalized data finally obtained.
The basic principle that the digitlization calculates are as follows:
By the correction result (passing through the interior detection data after artificial correction) carry out digitlization calculate it is specific need with
Lower two steps:
(1) detection data is similar with the distribution for the center line coordinate data (i.e. ground surveying and mapping data) being calculated in calculating
Degree, to react its computational accuracy.
(2) similarity is distributed to measure it by calculating Hellinger distance
Hellinger distance is to be used to the similarity of two probability distribution of measurement, it is that (f divergence is for one kind of f divergence
Measure the index of two distribution similarities)
Wherein,For the Radon-Nikodym differential of P, Q, in order to give a definition in classical probability theory frame
Hellinger distance, lambda definition is usually Lebesgue measurement by we, at this timeIt is usually said just to become us
Probability density function.
WhenWhen for probability density function, further have:
Wherein, P representative is the distribution of ground surveying and mapping data, and Q represents the distribution of interior detection data.
By the assessment of similarity, the digitized data of pipeline that you can get it.
In the present embodiment, it can be combined with final fitting effect display diagram (to be obtained according to pipeline digitalized data
Pipeline it is final move towards figure) carry out comprehensive judgement, until interior detection data computational accuracy control errors are within 1m, Ji Kezuo
For the final effect of pipeline digitalized data.Error can be maximumlly reduced in this way, improve pipeline digitalized data
Precision guarantees the accuracy of duct size information.
When the interior detection data after artificial correction is after the second digital computation modules carry out digitlization calculating
The tables of data formed with outer detection data is shown in operational module in figure is overlapped comparison, and outer detection data then represents pipe
The potential risk in road can both indicate that this length of tubing and this pipeline were deposited when outer detection data is located at same length of tubing or same pipeline section
In biggish potential risk, need tightly to be checked or prepared corresponding precautionary measures.
In the present embodiment, the first three-dimensional modeling module, the two-dimentional modeling module and second three-dimensional modeling
Module is the prior art.
In the present embodiment, since the laying ring of pipeline will can be obtained together when carrying out the measurement of ground detection data
Border data, buried depth of pipeline data, pipeline are worn across bury point data and pipeline adjunct data, when pipeline digitalized data obtains
When, the final three-dimensional trend figure of the pipeline obtained according to pipeline digitalized data can then move towards figure with the first three-dimensional tube and carry out pair
Than, can be according to the point to match by the laying environmental data of pipeline, buried depth of pipeline number if the Data Matching in two figures
It wears according to, pipeline across burying point data and pipeline adjunct data fusion into the final three-dimensional trend figure of pipeline, and then can be with
Obtain the more comprehensive data of pipeline, preferably realize pipeline digitlization, for pipeline integrity management provide it is substantial
Data are supported, the Integrity Management of duct size information is improved.
In conclusion by above-mentioned design, on the one hand, the present invention is by passing through interior detection data and ground surveying and mapping data
Fuzzy matching module carries out data calibration, avoids the larger problem of error existing for traditional internal detector, increases interior detection
The precision of data improves the digitized precision of pipeline data, improves the accuracy to pipeline information management.On the other hand,
The present invention can will be passed through the digitlization of interior detection data by the spatialization algorithm in the first digitlization computing module
The calculating data that fuzzy matching module obtains carry out digitlization calculating, by the digitized control errors of pipeline data in pipeline axis
To designing in this way, further improve digitized precision, improve the accuracy to pipeline information management.Meanwhile
The present invention can also manually internal detection data be modified, and further reduce measurement error, improve the accurate of pipeline data
Degree, the accuracy of raising again to pipeline information management；In addition, the data that the present invention can also be formed in conjunction with outer detection data
Table is overlapped comparison by digitizing with pipeline data, obtains the potential risk of pipeline, by above-mentioned design, can be to pipe
Road carries out risk and estimates, and improves the management to pipeline integrality, also improves the integrality of duct size information, facilitates work people
Member carries out real-time management according to duct size information.
Specifically, the ground surveying and mapping data is ground centreline data, the ground centreline data includes measurement point
The buried depth of number, measurement point coordinate data and measurement point.By above-mentioned design, it can both have been numbered by measurement point, measurement point is sat
The buried depth of mark data and measurement point can form the accurate of entire pipeline and move towards figure.
Specifically, the interior detection data includes defective data, pipeline feature data and pipeline-weld list.
The characteristic of pipeline itself can have both been simulated by defective data, pipeline feature data and pipeline-weld list
It include elbow, threeway, valve, flange, insulating joint, aperture etc. according to, wherein pipeline feature data, characteristic in this way,
The tube coupling of pipeline, pipeline section can be simulated and be in charge of, two-dimentional modeling module can establish the two dimension pipe of pipeline according to these data
Road moves towards figure, moves towards figure so as to subsequent with the first three-dimensional tube and is matched.Defective data includes metal loss, recess, boxing
Seam defect etc. can improve the specifying information of pipeline by these, guarantee to improve pipeline to all information for obtaining entire pipeline
The integrality of information.
Specifically, pipeline digitlization data include the coordinate data of all objects of pipeline detection, buried depth data and
Geographical data.By the data for including in pipeline digitalized data, the management of accurate geography information can be carried out to pipeline,
Improve the accuracy to pipeline information management.
Specifically, the outer detection data includes high consequence area, coating damage point data and cathodic protection potential data,
In, the high consequence area data include the start-stop point coordinate and the area Gao Houguo level data in high consequence area.By above-mentioned design, i.e.,
The potential risk that pipeline can be judged by coating damage point data and cathodic protection potential data, is judged by these data
That section in pipeline is it is possible that damaging problem, so that staff prevents.
The start-stop point coordinate in high consequence area then may indicate that those of pipeline tube coupling or pipeline section is the area Gao Houguo, the area Gao Houguo
It is then once causing danger, loss will king-sized place.High consequence area level data is classified to high consequence area,
Staff can be helped to judge the greatest risk of that section of pipeline.By high consequence area data can help staff into
The assessment and prevention of row danger pipeline, improve the management to pipeline oneself state, and then improve the pipe to the state of entire pipeline
Reason, increases the integrality of duct size information.
Embodiment two
The present embodiment and embodiment one the difference is that, after the step S101 and the step S102 it
Before be added to the smoothing processing that figure is moved towards to the first three-dimensional tube, that is, increase step S101a, and other steps and embodiment phase
Together, the technical effect and embodiment one risen is also consistent, does not add to repeat herein.
Optimization, after the step S101 and further comprising the steps of before the step S102:
S101a. first three-dimensional tube is moved towards into figure and imports smoothing module, and pass through the smoothing module
Figure is moved towards to first three-dimensional tube to be smoothed.
By above-mentioned design, figure can be moved towards to the first three-dimensional tube to be smoothed, reduce by the first three-dimensional tube and walk
To the zigzag of figure, increase the accuracy that the first three-dimensional tube moves towards figure.
The algorithm of smoothing processing are as follows:
Basic principle: steel pipe may be regarded as generating the rigid body of a small amount of Flexible change, therefore the position of every bit must on steel pipe
Other positions adjacent thereto are closely related, and distance is about close, and correlation is higher, and specific algorithm is as follows:
A is to ground surveying and mapping data, and in spatial domain, carrying out convolutional calculation using gaussian kernel function, (Gaussian kernel is to realize scale
The unique linear core of transformation), realize the credible smoothing processing to ground surveying and mapping data.
B considers the characteristic of measurement data: bending tube section measurement point is more dense compared to flat segments measurement point, introduces ruler
Spend space.Different data-intensive degree is preferably adapted to using different scale convolution kernel.
Gaussian kernel function:
Scale space definition:
L (x, y, σ)=G (x, y, σ) × I (x, y)
Wherein, G (x, y, σ) is changeable scale Gaussian convolution core, and σ is scale coordinate, determination data smoothness, big σ
It is worth corresponding flat segments, small σ value corresponds to bending tube section, by construction difference scale space during identifying elbow, strengthens
Elbow feature, wherein Laplacian LoG operator definitions:
As the approximation to Gauss-Laplace, it is as follows to define difference scale space response:
This formula is for selecting the first three-dimensional tube to move towards the adjusting point in figure.
Common Gaussian filter:
By above-mentioned design, figure can be moved towards to the first three-dimensional tube to be smoothed, reduce figure sawtooth.
Embodiment three
The present embodiment and embodiment two the difference is that, after embodiment two is smoothed, be also provided with figure
The quality examination and amendment of picture, that is, increase step S101b.
Specifically, after the step S101 and further comprising the steps of before the step S102:
S101b. first three-dimensional tube is moved towards into figure and imports the figure displaying operational module, pass through the figure exhibition
Show that operational module moves towards figure to first three-dimensional tube and carries out quality examination, and is modified according to following formula；
Wherein R is pipeline elastic bending radius of curvature in formula, and unit m, α are the crank degree of pipeline, and D is outside pipeline
Diameter, unit cm.
Specifically, the quality examination in the step S101b includes the sawtooth processing that first three-dimensional tube moves towards figure
Completing inspection, the inspection of sawtooth excess processes and sawtooth, accidentally processing checks.
By above-mentioned design, quality examination is carried out by moving towards figure to the first three-dimensional tube, it can be determined that the first three-dimensional tube
Whether the sawtooth processing that road moves towards figure handles completion, if the case where completion untreated there are sawtooth, sawtooth excess processes situation
(excess processes can be whether there is with check image, produce new sawtooth in turn, influence the standard that the first three-dimensional tube moves towards figure
Exactness) and sawtooth accidentally processing inspection, it is ensured that the first three-dimensional tube moves towards the accuracy of figure, guarantees subsequent and interior detection data
It compares, guarantees that interior detection data accurately can be calibrated and be corrected.In the present embodiment, quality examination is artificial detection,
I.e. staff judges whether figure is smooth.
By above-mentioned formula, the amendment that figure carries out quality can be moved towards to the first three-dimensional tube, only when the corner of pipeline
When angle, the outer diameter of pipeline and pipeline elastic bending radius of curvature meet above-mentioned formula, it just can be shown that quality amendment is qualified.
To sum up, it using the digitalized processing method of in-service pipeline data provided by the present invention, has the following technical effect that
(1) on the one hand, the present invention is by using the ground surveying and mapping data of pipeline and the interior detection data of pipeline as pipeline
Feature digitalized data, and be with ground surveying and mapping data by interior detection data by fuzzy matching module and human-computer interaction interface
Standard is corrected, and is effectively reduced the generation of error, avoid conventional pipelines feature digitalized data collection be easy by
It is influenced to extraneous factor and leads to the problem of large error, greatly improved the digitized precision of pipeline, improve to pipeline
The accuracy of information management；On the other hand, the calculating data obtained by fuzzy matching module are passed through the first number by the present invention
Change computing module and carry out spatialization calculating, design in this way, due to the centreline data that ground surveying and mapping data is pipeline, that is, manages
The axial data in road, and when internal detection data is corrected by fuzzy matching module, it is to be by ground surveying and mapping data
Standard is corrected, so can be by the control errors of the digitalized data of pipeline in pipeline axis when carrying out digitlization and calculating
To further reducing error range, increase the digitized precision of pipeline data, further improve to pipeline information management
Accuracy；In addition, the present invention is also built the three-dimensional coordinate data obtained through the first digitlization computing module by the second three-dimensional
Mould module carries out three-dimensional modeling, obtains the second three-dimensional tube and moves towards figure, and is walked by human-computer interaction interface to the second three-dimensional tube
The matching that figure carries out artificial figure accuracy is moved towards to figure and the first three-dimensional tube, and according to the ginseng generated by simulation matching module
Data are examined, moving towards figure using the first three-dimensional tube is carrier, i.e., moves towards the reference data in figure to the two or three with the first three-dimensional tube
Data in dimension pipeline rout figure are modified, and revised second three-dimensional tube is finally moved towards the data in figure by second
Digitlization computing module is calculated, and is obtained pipeline digitalized data, is designed in this way, can be in two-dimentional pipeline rout figure
The digitized result of interior detection data calibrated and corrected, i.e., internal detection data is calibrated and is corrected again, into one
The digitized precision of raising pipeline of step, the accuracy for improving pipeline information management again.
(2) present invention is in addition to that can obtain the centreline data and pipe of pipeline by ground surveying and mapping data and interior detection data
Outside the data of road feature itself, moreover it is possible to obtain pipeline laying environmental data, buried depth of pipeline number when ground surveying and mapping data side measures
It wears according to, pipeline across bury point data and pipeline adjunct data, can preferably realize the digitlization of pipeline, be that pipeline is complete
Property management provide substantial data and support, improve the Integrity Management of duct size information.
(3) the present invention also provides outer detection datas and the area Gao Houguo data, can be folded with pipeline digitalized data
Add comparison, can be derived that the potential risk of pipeline, potential risk can be carried out to pipeline and estimated, further increased whole to pipeline
The management of body state is preferably realized to the management of duct size information accuracy and the management of integrality.
The present invention is not limited to above-mentioned optional embodiment, anyone can show that other are various under the inspiration of the present invention
The product of form, however, make any variation in its shape or structure, it is all to fall into the claims in the present invention confining spectrum
Technical solution, be within the scope of the present invention.
Claims (9)
1. a kind of digitalized processing method of in-service pipeline data, which comprises the following steps:
S101. the ground surveying and mapping data of pipeline is imported the first three-dimensional modeling module to model, obtains the first three-dimensional tube and walks
Xiang Tu, wherein the ground surveying and mapping data is ground centreline data；
S102. the interior detection data of pipeline is imported two-dimentional modeling module to model, obtains two-dimentional pipeline rout figure；
S103. first three-dimensional tube is moved towards into figure and the two-dimentional pipeline rout figure imports fuzzy matching module, pass through institute
It states fuzzy matching module and figure progress Data Matching is moved towards to the two-dimentional pipeline rout figure and first three-dimensional tube, extract
It is in two-dimentional pipeline rout figure and move towards the matched data that the data in figure match with the first three-dimensional tube, and will be described
Then matched data extracts the total data in two-dimentional pipeline rout figure as reference data again, as calculating data；
S104. the reference data is exported to the human-computer interaction interface, the calculating data is exported to the first digitlization
Computing module；
S105. spatialization calculating is carried out to data are calculated by the first digitlization computing module, data will be calculated and be converted into
Three-dimensional coordinate data；
S106. the three-dimensional coordinate data is exported to the second three-dimensional modeling module and is modeled, obtained the second three-dimensional tube and walk
Xiang Tu；
S107. first three-dimensional tube is moved towards into figure and second three-dimensional tube moves towards figure and is transmitted to human-computer interaction interface；
S108. figure is moved towards to second three-dimensional tube by human-computer interaction interface acquisition to walk with first three-dimensional tube
The matched correction result of artificial image's accuracy is carried out to figure, wherein imaging accuracy matching is to walk according to the first three-dimensional tube
The reference data into figure moves towards the data in figure to the second three-dimensional tube and carries out data correction, and the correction result includes
Figure, which is moved towards, according to the first three-dimensional tube after figure is modified is moved towards to the second three-dimensional tube and in the second three-dimensional tube trend
Total data in figure；
S109. the correction result is exported to the second digitlization computing module, and passes through the second digitlization computing module
Digitlization calculating is carried out, pipeline digitalized data is obtained；
S110. the tables of data obtained according to outer detection data is imported into figure and shows operational module, work is shown by the figure
Make module and the tables of data and the pipeline digitalized data are overlapped comparison, show that pipeline potential risk estimates degree.
2. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: in the step
It is after rapid S101 and further comprising the steps of before the step S102:
S101a. first three-dimensional tube is moved towards into figure and imports smoothing module, and by the smoothing module to institute
It states the first three-dimensional tube and moves towards figure and be smoothed.
3. according to claim 1 or a kind of digitalized processing method of in-service pipeline data as claimed in claim 2, feature exist
In: after the step S101 and before the step S102 it is further comprising the steps of:
S101b. first three-dimensional tube is moved towards into figure and imports the figure displaying operational module, passed through the figure and show work
Make module and figure progress quality examination is moved towards to first three-dimensional tube, and is modified according to following formula；
Wherein R is pipeline elastic bending radius of curvature in formula, and unit m, α are the crank degree of pipeline, and D is outer diameter tube,
Unit is cm.
4. a kind of digitalized processing method of in-service pipeline data according to claim 3, it is characterised in that: the step
Quality examination in S101b includes sawtooth processing completion inspection, the inspection of sawtooth excess processes that first three-dimensional tube moves towards figure
It looks into and sawtooth accidentally processing inspection.
5. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: the ground
Centreline data includes the buried depth of measurement point number, measurement point coordinate data and measurement point.
6. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: the interior inspection
Measured data includes defective data, pipeline feature data and pipeline-weld list.
7. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: the pipeline
Digitalized data includes the coordinate data of all objects of pipeline detection, buried depth data and geographical data.
8. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: the outer inspection
Measured data includes high consequence area data, coating damage point data and cathodic protection potential data, wherein the high consequence area data
Start-stop point coordinate and the area Gao Houguo level data including high consequence area.
9. a kind of digitalized processing method of in-service pipeline data according to claim 1, it is characterised in that: the step
Tables of data in S109 shows that operational module generates by the figure.
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| CN112257633A (en) * | 2020-10-29 | 2021-01-22 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN112857364A (en) * | 2021-01-08 | 2021-05-28 | 四川德源管道科技股份有限公司 | Data correction method, system and medium for pipeline IMU detection data |
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| CN102966850A (en) * | 2012-11-19 | 2013-03-13 | 天津大学 | Pipeline alignment detection method |
| CN107544078A (en) * | 2017-07-06 | 2018-01-05 | 盐城新奥燃气有限公司 | A kind of method that new combustion gas push pipe is accurately positioned |
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| CN112257633A (en) * | 2020-10-29 | 2021-01-22 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN112257633B (en) * | 2020-10-29 | 2023-06-02 | 中国安全生产科学研究院 | Pipeline high-consequence area dynamic identification method based on image identification |
| CN112857364A (en) * | 2021-01-08 | 2021-05-28 | 四川德源管道科技股份有限公司 | Data correction method, system and medium for pipeline IMU detection data |
| CN112857364B (en) * | 2021-01-08 | 2024-05-24 | 四川德源管道科技股份有限公司 | Data correction method, system and medium for pipeline IMU detection data |
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