CN110197133A - It will test the method and apparatus that waveform is aligned - Google Patents
It will test the method and apparatus that waveform is aligned Download PDFInfo
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- CN110197133A CN110197133A CN201910393283.3A CN201910393283A CN110197133A CN 110197133 A CN110197133 A CN 110197133A CN 201910393283 A CN201910393283 A CN 201910393283A CN 110197133 A CN110197133 A CN 110197133A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61K—AUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
- B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
- B61K9/08—Measuring installations for surveying permanent way
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
- B61L23/04—Control, warning, or like safety means along the route or between vehicles or vehicle trains for monitoring the mechanical state of the route
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
- G06F2218/16—Classification; Matching by matching signal segments
Abstract
The present invention provides a kind of method and apparatus that will test waveform and be aligned, this method comprises: obtaining account mileage generates multiple account waveforms；It obtains Wave data to be detected and generates each waveform to be aligned；Each waveform to be aligned is matched according to account waveform, obtains the mileage of each waveform to be aligned；According to the number of node effective in the mileage of each waveform to be aligned, RF tag mileage, the node mileage of linear section, the number of each Waveform Matching account waveform to be aligned, each waveform to be aligned, the reference line of each waveform to be aligned is determined；The similarity between each waveform to be aligned is calculated, similarity value minimum is aligned according to reference line and meets the waveform of similarity threshold.The present invention solves the alignment of repeated detection waveform in Ballast track or non-fragment orbit, it is ensured that the label mileage of detection waveform is consistent with practical mileage.
Description
Technical field
The present invention relates to track detecting field more particularly to a kind of method and apparatus that will test waveform and be aligned.
Background technique
The quality of track geometry status, it is very big on traffic safety and comfort influence, therefore, the detection of track geometry status
It is also increasingly taken seriously with management.Synthetic detection vehicle is the important means of track geometry status detection, fast with travel speed,
Detection efficiency is high and can preferably reflect dynamic track geometry state and obtain both domestic and external generally approving and making extensively
With.But there are a common problems in track detection vehicle data detected is: detection mileage value and true mileage value have one
Determine difference, even if using GPS satellite positioning system and ground aided positioning system, this species diversity also be cannot be completely eliminated,
Deviation can even reach 100m in some cases.Have many methods at present and mileage correction is carried out to detection waveform, in certain model
Be applied in enclosing, common method are as follows: within the scope of same route mileage, by the data waveform figure to different test batches into
The longitudinal comparison of row, in interfering a period of time that is less or not repairing operation extremely, the waveform of different test batches
Figure is more similar in shape, and only amplitude size is slightly different, and can be aligned waveform by the methods of correlation.
But special sector can not be but aligned, such as: detection vehicle replacement, line maintenance, pass in and out station, lose data, length chain,
The problems such as great exception for deteriorating, failing to identify in advance of route is interfered be easy to cause waveform that can not be aligned, and correlation is especially applied alone
Coefficient, which carries out assessing its correlation, will lead to all Multi sectionals and can not be aligned, to interfere to the analysis of subsequent data.
Although having done a large amount of research work in terms of mileage correction and waveform analysis both at home and abroad, research object is usual
For quality is preferable or abnormal apparent several secondary waveforms, it is difficult to continue, automation applies to production environment.
Summary of the invention
In order to which the detection waveform to special sector is aligned, the reliability of detection data is improved, the present invention provides one
Kind will test the method and apparatus that waveform is aligned.
In a first aspect, the present invention provides a kind of method that will test waveform and be aligned, which comprises
It obtains account mileage and generates multiple account waveforms；
It obtains Wave data to be detected and generates each waveform to be aligned；
Each waveform to be aligned is matched according to the account waveform, obtains the mileage of each waveform to be aligned；
According to the node mileage number of the mileage of each waveform to be aligned, RF tag mileage, linear section
According to, in the number of each Waveform Matching account waveform to be aligned, each waveform to be aligned abnormal nodes number, determine each wave to be aligned
The reference line of shape；
The similarity between each waveform to be aligned is calculated, similarity value minimum is aligned according to the reference line and meets similarity
The waveform of threshold value.
Second aspect, the present invention provide a kind of device that will test waveform and be aligned, and described device includes:
Account waveform generating module generates multiple account waveforms for obtaining account mileage；
Each waveform to be aligned generates, and generates each waveform to be aligned for obtaining Wave data to be detected；
The mileage determining module of each waveform to be aligned, for being carried out according to the account waveform to each waveform to be aligned
Matching, obtains the mileage of each waveform to be aligned；
Reference line determining module, for according to the mileage of each waveform to be aligned, RF tag mileage, straight
The node mileage of line section, the number of each Waveform Matching account waveform to be aligned, abnormal nodes in each waveform to be aligned
Number determines the reference line of each waveform to be aligned；
Reference line alignment module is aligned similar for calculating the similarity between each waveform to be aligned according to the reference line
Angle value is minimum and meets the waveform of similarity threshold.
The third aspect, the present invention provides a kind of electronic equipment, including memory, processor and storage are on a memory and can
The computer program run on a processor, that first aspect offer is realized when the processor executes described program will test wave
The step of method that shape is aligned.
Fourth aspect, the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with computer program,
The step of will test the method that waveform is aligned of first aspect offer is provided when the computer program is executed by processor.
The present invention solves the alignment of repeated detection waveform in Ballast track or non-fragment orbit, it is ensured that the label of detection waveform
Mileage is consistent with practical mileage, provides reliable data source for the analysis of subsequent data.
For above and other objects, features and advantages of the invention can be clearer and more comprehensible, preferred embodiment is cited below particularly,
And cooperate institute's accompanying drawings, it is described in detail below.
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 method flow schematic diagram provided in an embodiment of the present invention that will test waveform and be aligned；
Fig. 2 is that global optimum provided in an embodiment of the present invention matches schematic diagram；
Fig. 3 is account waveform provided in an embodiment of the present invention and it matches optimal detection waveform schematic diagram；
Fig. 4 is the schematic diagram provided in an embodiment of the present invention that alignment adjustment is carried out to waveform deterioration section；
Fig. 5 be a Continuous Bridge creep section waveform calibration before with schematic diagram after calibration；
Fig. 6 A is schematic diagram before a maintenance line waveform is calibrated；
Fig. 6 B is schematic diagram after a maintenance line waveform calibration；
Fig. 7 is the block diagram provided in an embodiment of the present invention that will test the device that waveform is aligned；
Fig. 8 is electronic device block diagram provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The quality of track geometry status, it is very big on traffic safety and comfort influence, therefore, the detection of track geometry status
It is also increasingly taken seriously with management.But due to detecting vehicle replacement, line maintenance, disengaging station, losing data, length chain, line
The problems such as great exception for deteriorating, failing to identify in advance in road is interfered be easy to cause within the scope of same route mileage, by difference
The data waveform that detection batch obtains can not be aligned, and reduce the reliability of data.To solve the above problems, the embodiment of the present invention
A kind of method and apparatus that will test waveform and be aligned are provided, as shown in Figure 1, wherein this method comprises:
Step S101 obtains account mileage and generates multiple account waveforms.
Specifically, account data typically contain character, null value, repetition, missing the problems such as, by automated procedures to its into
Row verifying and supplement, it is ensured that the uniqueness and validity of data.Specific field is corresponded to, is carried out judging that it is according to business rule
It is no to meet convention, it is ensured that its accuracy.
Account data has uniqueness, objectivity, converts detailed mileage for all information in account data,
It can the initial reference information of the offer to detection data.Multiple account waveforms are generated according to account mileage is corresponding.
Step S102 obtains Wave data to be detected and generates each waveform to be aligned.
Specifically, generating corresponding waveform to be aligned according to the corresponding detection data of route a certain in GEO file.Wherein
Corresponding detection data after detecting every time in one route of GEO file record, the detection data include the sampled value in multiple channels,
Read critical passage data, specific channel include mileage, left and right height, left and right rail to, gauge, superelevation, RF tag, waveform
Route, the row of data are other, mileage answers section consistent.Optionally, multiple GEO files are read parallel and handle data, it can be greatly
Reduce operation duration.
When reading GEO file, the benchmark in superelevation channel is usually had differences, and copes with the superelevation channel of each detection data
Data normalization is carried out, the actual reference value of data is determined using the method for stochastical sampling, it is ensured that its mean value is 0, i.e., will be higher by
Height in channel is standardized with lower than the height in channel, makes the mean value 0 of two data.
Step S103 matches each waveform to be aligned according to the account waveform, obtains in each waveform to be aligned
Number of passes evidence.
Specifically, the part is to carry out initial adjustment to each waveform to be aligned: each waveform to be aligned is corresponded to matching degree highest
Account waveform on, the mileage of each waveform to be aligned is then found according to the mileage on account waveform.Herein, main
Find matched critical importance data, critical importance data refer to the starting point mileage and terminal mileage of curve, according to rise
Only mileage is assured that the practical mileage of whole detection datas.
Step S104, according to the section of the mileage of each waveform to be aligned, RF tag mileage, linear section
Point mileage, the number of each Waveform Matching account waveform to be aligned, the effective number of node in each waveform to be aligned, determine each
The reference line of waveform to be aligned.
Specifically, mileage timing, in addition to ensure that its practical mileage error is minimum, it is also to be ensured that all waveforms and a certain
The waveform of secondary detection is aligned, and the waveform of the secondary detection is known as reference waveform.To route, row it is not identical, mileage section is similar
After multiple GEO files carry out the matched initial adjustments of mileage, it can be ensured that the mileage in each GEO file be with practical mileage the most
Close, but in order to ensure being less than or equal to 0.25 meter to its precision between multiple GEO, it needs to select one of them as base
It is quasi-.
According to the mileage of each waveform to be aligned, RF tag mileage, the node mileage of linear section, each
Four indexs of number department of effective node determine benchmark in the number of Waveform Matching account waveform to be aligned, each waveform to be aligned
Line.Wherein, RF tag file is just defined at the beginning of designed lines, passes through getting information ready and penetrate in GEO file
Data in frequency label file can determine the true mileage of some positions in GEO waveform diagram.Therefore, it is possible to by radio frequency mark
The mileage in file is signed to assess the confidence level of mileage initial adjustment.
Step S105 calculates the similarity between each waveform to be aligned, according to reference line be aligned similarity value it is minimum and
Meet the waveform of similarity threshold.
Specifically, invalid data will cause severe jamming to subsequent analysis in data application, specifically arch upward in track plates
In identification, the influence of burr is most commonly seen, in order to obtain better calibration result, has done special place to the rejecting of burr first
Reason, specific method are to export each doubtful burr section using the variable quantity control of point-to-point transmission, then calculate each doubtful burr
The change rate of section point-to-point transmission determines the start-stop point of burr by change rate.Wherein change rate can be the oblique of calculating point-to-point transmission
The difference of rate or numerical value, by slope is big or biggish two points of numerical difference think the beginning or end of burr.It should be noted that this
Inventive embodiments are not limited to aforesaid way to the rejecting of burr data.
The Wave data for traversing reference line as unit of regular length finds identical mileage model for each benchmark section
The respective segments of other waveforms in enclosing, calculate customized similarity by adjusting length, the position of the section, when similar
When spending minimum and meeting customized threshold value, the final mile of the section is determined according to the mileage of benchmark.Wherein, after being rejected to burr
Data carry out correlation calculations: as detection data twice is respectively defined as X (x in the waveforms amplitude sequence of 100 meters of sections1,x2,
x3,…xm) and Y (y1,y2,y3,…ym), length is m, defines the relativity evaluation index that r is X and Y.
A. the related coefficient between detection data twice is defined as:
In formula: xiAnd yiFor the track geometry detection data of the identical mileage points of different times twice；
M is to calculate points, is under normal circumstances 400 sampled points；
For the average value for choosing section；
R is related coefficient.
The formula fixes X (x in use, by changing the different n value of following formula1,x2,x3,…xm), the number of mobile Y
Value sequence window, available different r value, according to following formula:
ntarget=arg max (rij(n))
In above formula, n represents the mobile points of Y, 0≤n≤m, if Y is (y1,y2,y3,…ym) when, n=0, Y are (y2,
y3,…ym+1) when, n=1, final determine needs mobile points.
For example: in embodiments of the present invention, n represents the mobile points of Y, calculates Y moving back a points (n=1)
Detection point data corresponding with X seeks correlation coefficient value r afterwards1, calculate that Y moved back two points (n=2) is corresponding with X afterwards
Detection point data seeks correlation coefficient value r2, r is found out respectively1,r2,...,rm, numerical value maximum is then found from multiple related coefficients
Be two highest curves of correlation.
B. direct range method, calculation formula are as follows:
In formula: xiAnd yiFor the track geometry detection data of the identical mileage points of different times twice；
M is to calculate points, is under normal circumstances 400 sampled points；
K is index, and value range is usually [1,3]；
R is the distance calculated.
C. it is segmented correlation, calculation formula is as follows:
In formula: rnRepresent the correlation that the n-th segment data calculates after ten equal parts；
T is specified threshold；
It is the number of True in σ expression condition；
R is the segmentation correlation calculated.
The detection data that each waveform to be detected is obtained in same detection interval difference detection time, carries out above-mentioned a, b, c
Correlation calculations, obtained calculated result is compared with pre-set relevance threshold.
Such as: after being matched each waveform to be aligned with account waveform, finding so that matching sequence distance is the smallest partially
It moves and is used as practical mileage, and calculate distance and segmentation related coefficient, if similitude is higher by preset threshold or segmentation phase relation
Number is higher by preset threshold, then will match the smallest offset of sequence distance and be used as practical mileage；Otherwise find so that rail to sequence away from
From the smallest offset, and calculate distance and segmentation related coefficient similarity, if the similarity value being calculated be higher by it is default
Rail is then determined practical mileage to the smallest offset of sequence distance by threshold value；Otherwise find so that gauge apart from the smallest offset, and
And the similarity for calculating distance and segmentation related coefficient will be so that rail if the similarity value being calculated is higher by preset threshold
Away from apart from it is the smallest offset be determined as practical mileage；Otherwise it finds so that the height of the last detection data is apart from the smallest partially
It moves and is used as practical mileage；Otherwise the alignment condition for recording the sequence in conjunction with subsequent mileage is rearranged, and is finally obtained
Detection waveform after alignment.
In addition, if postorder section is first aligned according to reference line when the similarity of current session is unsatisfactory for threshold value, according to
Preamble and postorder section mileage adjust the final mile of erroneous judgement to determine the mileage of current session, such as: in preamble section
Journey is K3+600m, and postorder section mileage is that K3+700m can determine that the mileage of current session is K3+601m~K3+
699m。
It should be noted that choosing similarity value minimum after obtaining the similarity between each waveform to be aligned and meeting threshold
The waveform of value carries out outside reference line alignment, remaining waveform will also carry out reference line alignment, completes the base of all each waveforms to be aligned
Directrix alignment, then obtains final detection waveform mileage.
The embodiment of the present invention solves the alignment of repeated detection waveform in Ballast track or non-fragment orbit, it is ensured that detection waveform
Label mileage it is consistent with practical mileage, for subsequent data analysis reliable data source is provided.
Content based on the above embodiment, as a kind of alternative embodiment: Wave data to be detected includes: waveform to be detected
Original mileage, superelevation channel data；Wherein superelevation channel data is used to reflect the situation of change of curve.
Specifically, record needs original mileage and the superelevation channel of detection waveform data in each GEO file
Data.
Content based on the above embodiment, as a kind of alternative embodiment: according to the account waveform to each wave to be aligned
Shape is matched, and the mileage for obtaining each waveform to be aligned includes:
According to the superelevation channel data, multiple waveforms to be aligned for meeting superelevation channel data feature are obtained；
The similarity for calculating the account waveform and multiple waveforms to be aligned for meeting superelevation channel data feature, is expired
Multiple candidate's waveforms to be aligned of the default similarity threshold of foot；
Match the multiple candidate waveform to be aligned and account waveform according to global optimum's matching algorithm, obtain finally respectively to
It is aligned waveform；
According to final each waveform to be aligned and the account mileage, the mileage number of each waveform to be aligned is determined
According to.
Specifically, firstly, obtain the characteristic feature of account waveform, superelevation channel data, point of tangent to spiral mileage including waveform,
Point of spiral to curve mileage, the number of wavy curve, easement curve correspond to the slope of waveform diagram.
Secondly, multiple waveforms to be aligned for meeting superelevation channel data feature are obtained according to the superelevation channel data, it will
These section waveforms carry out account Waveform Matching and screening, and details are as follows for method:
A. waveform is identified by the data in superelevation channel.Waveform of the waveform on superelevation channel is similar to trapezoidal a, mainstream
Method is usually each waveform in recognition detection data, including point of tangent to spiral, point of spiral to curve, point of curve to spiral, point of spiral to tangent specific mileage,
However in actually detected waveform, line style of the waveform on superelevation channel is not the trapezoidal of standard, the line style performance of portion waveshape
For irregular shape, and superelevation value has that higher, relatively low, height differs, and accurately identifying each waveform will lead to space-time
Cost is higher.Simultaneously to improve algorithm operational efficiency, only it is special to rise section, superelevation decline section for extraction such as superelevation value, superelevation
The suspected waveform section of sign, identification quantity would generally be more than the quantity of actual waveform, which has the time complexity of O (n)
With the space complexity of O (1).
B. define in account waveform and detection waveform, the doubtful waveform to be aligned for meeting superelevation channel data feature it is similar
Degree.The key elements such as superelevation fluctuation area, waveform overall length, waveform slope, circular curve length are calculated, if these elements are specified
It is consistent in error, then the candidate waveform list of some account waveform is regarded as, while calculating waveform suspected waveform and account waveform
Mileage deviation, in straight line sampling interval standard deviation as subsequent measurement index.
C. the suspected waveform identified in account waveform and detection waveform is matched.Route mass change range it
It is interior, each account waveform is matched with corresponding waveform doubtful on waveform by key element.Since what is identified in a doubts
May be excessive or very few like waveform, therefore a suspected waveform finally matches 0 or 1 account waveform.Matching process is with part
The optimal and dual differentiation of global optimum's principle, first traverses each suspected waveform, selects candidate account with the similarity measurement in b
Waveform；Select to meet the candidate sequence constrained as follows as final matching sequence.
One: one suspected waveform of constraint finally matches 0 or 1 account waveform；
Constraint two: matched account waveform and the mileage of suspected waveform are all in increasing trend；
Constraint three: matching sequence length longest and population deviation minimum.
Final each waveform to be aligned is found according to global optimum's matching algorithm, as shown in figure 3,1 represents account waveform, 2 generations
The actually detected waveform of table.
This method is during realization, more for general fast line waveform due to enumerating a variety of spurious matches sequences
Situation can face the lower problem of efficiency, and solution is as follows: during matching the suspected waveform of each account waveform one by one,
After candidate sequence reaches a certain amount grade, most suitable candidate sequence is found using above-mentioned constraint, reduces Candidate Set quantity, and
Continue operation.
In the matching process, all candidate sequences should be retained because the introducing of next waveform may break before in
In journey the case where multiple matching local optimums, especially general fast route typically encounters the similar situation of continuous multiple waveform waveforms.
As shown in Fig. 2, abscissa, which represents, is incremented by mileage, ordinate represents superelevation, and A1, A2, A3 represent account waveform, and a1, a2, a3 are represented
Suspected waveform in waveform, in sequential processes, when a3 does not occur, it can be found that A2 is matched with a1, A3 matched with a2 be it is optimal,
The mileage deviation very little of suspected waveform and account waveform, and meet above-mentioned constraint one, two, three, but when judging a3, it needs to adjust
Matching sequence before, to reach global optimum.In addition, judging that matched reliability is by the distance between two waveforms
It is worthless, because situations such as losing data, suspected waveform erroneous judgement happens occasionally.
In the matching process, it can extend and realize following main points:
The problem that the sampling interval is inconsistent is caused in view of wheel footpath is different, during key equipment is corresponding, specified
Seek optimal corresponding relationship in error range, reduces mileage error caused by wheel footpath problem.
Just successive step is carried out to the mileage of Wave data, it is ensured that itself and key account information are consistent, to length chain data into
The additional rejecting of row or mileage amendment.
Data processing end to end: to such as K1+750m~K2+000 and K3+000~K3+250m data end to end, believe in conjunction with account
Breath is spliced, it is ensured that mileage continuity.
The embodiment of the present invention improves operation efficiency by doing operation to key feature superelevation channel data；By to doubtful
Curve strictly screens, and select global optimum as a result, obtain with the highest waveform to be detected of account Waveform Matching degree, improve
Accuracy rate；And the matching way can cope with detection data and lose several situations, availability is high.
Content based on the above embodiment, as a kind of alternative embodiment: according to the mileage number of each waveform to be aligned
According to, it is the node mileage of RF tag mileage, linear section, the number of each Waveform Matching account waveform to be aligned, each
The number of abnormal nodes in waveform to be aligned determines that the reference line of each waveform to be aligned includes:
Step 1, according to the difference of the mileage of each waveform to be aligned and RF tag mileage, mileage difference sequence is obtained
Column；Execute step 2；
Step 2, each difference occurs in the mileage sequence of differences frequency values and preset frequency threshold, if it exists
The frequency values that one difference occurs are greater than the preset frequency threshold, then select the corresponding waveform mileage conduct of the difference
One mileage sequence；Execute step 3；
Step 3, calculate the corresponding original mileage of each waveform in the mileage sequence with match after waveform mileage number
Average value between, the selection the smallest waveform of average value are benchmark line；If the smallest waveform of average value is multiple, execution step
4；
Step 4, the number that account waveform is matched in the smallest waveform of each average value, the selection matching maximum wave of number are determined
Shape is benchmark line；If match the maximum waveform of number be it is multiple, then follow the steps 5；
Step 5, it determines the linear section in the matching maximum waveform of number, calculates the standard deviation between each node of linear section
M determines the matching maximum waveform validity V of number according to abnormal point method of determining and calculating, then reference line=max ((1/M) × V).
Specifically, defining the index of four evaluation criteria lines: impurity level average_bias, linear distance standard deviation first
M, account Waveform Matching quantity CN, rail to validity V.Wherein, the calculating about impurity level average_bias: route is found
RF tag file, which just defined at the beginning of designed lines, for determining one in GEO waveform diagram
The true mileage of a little positions.It calculates and gets place's corresponding " first adjusting data of mileage " in GEO waveform diagram ready with RF tag mileage (from first
Adjust the nearest mileage of mileage) difference, obtain a mileage sequence of differences；
If the value in the sequence of differences is most of equal, illustrates that " RF tag file " reliability is higher, be value
It must refer to.Compare frequency values and preset frequency threshold that each difference in mileage sequence of differences occurs again, if it exists a difference
The frequency values of appearance are greater than the preset frequency threshold, then select the corresponding waveform mileage of the difference as a mileage
Sequence is denoted as L；
Calculate the corresponding original mileage of each waveform in L with match after waveform mileage between average value, obtain
To average_bias, then choosing the smallest waveform of average value is benchmark line.
If the smallest waveform of average value is multiple, it is determined that match of account waveform in each the smallest waveform of average value
Number, selecting the matching maximum waveform of number is benchmark line.It is to determine each curve during the matching account waveform of initial adjustment
The account being matched to calculates the account quantity CN being matched to, reference line=max (CN).
If matching the maximum waveform of number is multiple, in the determining matching maximum waveform of number linear sections, and each
Linear section is all that multiple sampled points are constituted, and calculates the standard deviation M between each node of linear section.
The ratio of abnormal data in Wave data is can be found that according to abnormal point method of determining and calculating, according to obtain matching number most
Big waveform validity V obtains rail to the higher reference file of quality, and then improves the accuracy of alignment.Such as pass through frequency spectrum
Parser, outlier detection algorithm can be found that abnormal data in Wave data, to preferably assess the quality of waveform.Its
In,Reference line, reference line=max are obtained according to standard deviation M and validity V at this time
((1/M)×V)。
For example: preset frequency threshold be 0.4, when a difference occur frequency specific gravity P be greater than 0.4, then take base
Directrix rlt=argmin (average_bias), if rlt have it is multiple, continue calculate rlt=argmax (CN), if rlt is also
It is to have multiple, then calculates rlt=argmax ((1/M) × V).
The embodiment of the present invention can be avoided missing inspection, miss the stop etc. due to cause sampling to reduce or increase detection data make
On the basis of, so that the quality of data is higher.
Content based on the above embodiment, as a kind of alternative embodiment: according to the mileage number of each waveform to be aligned
According to, it is the node mileage of RF tag mileage, linear section, the number of each Waveform Matching account waveform to be aligned, each
The number of abnormal nodes in waveform to be aligned determines the reference line of each waveform to be aligned further include:
Step 11, each difference occurs in the mileage sequence of differences frequency values and preset frequency threshold, if depositing
On the basis of the frequency values that a difference occurs are less than the preset frequency threshold, then select the corresponding waveform to be aligned of the difference
Line；If the corresponding waveform to be aligned of difference is multiple, execution step 21；
Step 21, the number of the corresponding Waveform Matching account waveform to be aligned of difference in step 11, selection matching are determined
The maximum waveform of number is benchmark line；If match the maximum waveform of number be it is multiple, then follow the steps 5.
Specifically, the frequency values that each difference occurs in mileage sequence of differences compared with preset frequency threshold in, if depositing
On the basis of the frequency values that a difference occurs are less than the preset frequency threshold, then select the corresponding waveform to be aligned of the difference
Line；
If the corresponding waveform to be aligned of difference be it is multiple, search the corresponding Waveform Matching account waveform to be aligned of difference
Number, selecting the matching maximum waveform of number is benchmark line；
If matching the maximum waveform of number is multiple, in the determining matching maximum waveform of number linear sections, and each
Linear section is all that multiple sampled points are constituted, and calculates the standard deviation M between each node of linear section.
The ratio of abnormal data in Wave data is can be found that according to abnormal point method of determining and calculating, according to obtain matching number most
Big waveform validity V obtains reference line, reference line=max ((1/M) × V) according to standard deviation M and validity V at this time.
For example: preset frequency threshold is 0.4, and when the specific gravity P for the frequency that a difference occurs is less than 0.4, then P is corresponding
Waveform to be aligned be benchmark line rlt, if rlt have it is multiple, continue calculate rlt=argmax (CN), if rlt still have it is more
It is a, then calculate rlt=argmax ((1/M) × V).
Content based on the above embodiment, as a kind of alternative embodiment: the method also includes:
The packet lookup in section is established to the mileage of each waveform to be aligned or index is searched；
Packet lookup is determined according to the reference line or indexes the mileage of lookup range；
The mileage for merging the section, the detection waveform after obtaining reference line alignment.
Specifically, each waveform to be aligned is grouped according to CPU core number, each Wave data at least 50Km.Multi-process data
When processing, it is important to handle the mileage of each Wave data splicing part well, it is ensured that its continuity is originated in each Wave data
Stage, it is understood that there may be situations such as maintenance causes waveform inconsistent, should boost beginning mileage according to subsequent mileage is counter.
Array index index is established to the mileage of each file to be aligned, subsequent access efficiency is improved, it is found according to subscript
The practical mileage of the corresponding section.Such as: subscript index is all established to all back end of a certain section of route, to search certain
When whether one node is with the alignment of reference line waveform, the node is directly navigated to according to subscript, layout can be carried out to alignment condition.
Merge multiple groups detection waveform to be aligned, generates mileage accurate detection waveform.
The embodiment of the present invention improves subsequent access efficiency, and avoids unnecessary calculating, and computational efficiency is high.
It should be noted that as Fig. 4 be it is provided in an embodiment of the present invention to waveform deterioration section carry out alignment adjustment show
It is intended to, 3 be the curve graph before waveform alignment, and 4 be the curve graph after waveform alignment.It can be seen from the figure that the embodiment of the present invention
What is provided will test the method that waveform is aligned and can successfully manage in waveform and have obvious deterioration, cause be difficult to be aligned to ask
Topic.Fig. 5 be a Continuous Bridge creep section waveform calibration before with schematic diagram after calibration, as can be seen from the figure waveform is all more
It is similar, in the case where timing is easy misalignment, it is provided in an embodiment of the present invention will test method that waveform is aligned can be effective
Cope with the problem.Fig. 6 A, Fig. 6 B are respectively that a maintenance line waveform calibrates schematic diagram after preceding schematic diagram and waveform calibration, Cong Tuzhong
As can be seen that especially after several kilometers of maintenance, line waveform feature can generate apparent variation after line maintenance,
Typically result in and be difficult to be aligned, not only the maintenance of a large amount of sections, and rail to, gauge data be it is invalid, the embodiment of the present invention provides
Will test the method that waveform is aligned and can successfully manage the problem.Meanwhile occurring losing the feelings of data often in wireline inspection
Condition, and over time, when apparent variation has occurred in waveform, alignment schemes provided in an embodiment of the present invention can also be with
Effectively alignment waveform, it is ensured that can find crucial disease when data application in time.In addition, alignment schemes provided in an embodiment of the present invention
Dozens of GEO data are supported while correcting, and average each GEO correction time is 1-2 minutes, it is different for superelevation channel benchmark
The case where (if any GEO data base be -40), can effectively be corrected.
According to another aspect of the present invention, the embodiment of the present invention also provides a kind of dress that will test waveform and be aligned
It sets, referring to Fig. 7, Fig. 7 is the block diagram provided in an embodiment of the present invention that will test the device that waveform is aligned.The device is used for
Detection waveform alignment is carried out in foregoing embodiments.Therefore, the side that will test waveform and be aligned in foregoing embodiments
Description and definition in method, can be used for the understanding of each execution module in the embodiment of the present invention.
As shown, the device includes:
Account waveform generating module 701 generates multiple account waveforms for obtaining account mileage；
Each waveform to be aligned generates 702, generates each waveform to be aligned for obtaining Wave data to be detected；
The mileage determining module 703 of each waveform to be aligned is used for according to the account waveform to each waveform to be aligned
It is matched, obtains the mileage of each waveform to be aligned；
Reference line determining module 704, for the mileage according to each waveform to be aligned, RF tag mileage number
According to, save in the node mileage of linear section, the number of each Waveform Matching account waveform to be aligned, each waveform to be aligned extremely
The number of point, determines the reference line of each waveform to be aligned；
Reference line alignment module 705, for carrying out reference line alignment to each waveform to be aligned according to the reference line；
Detection waveform alignment module 706 will for the similarity between each waveform to be aligned after the alignment of calculating benchmark line
The waveform for meeting similarity threshold is aligned, the detection waveform after being finally aligned.
The embodiment of the present invention solves the alignment of repeated detection waveform in Ballast track or non-fragment orbit, it is ensured that detection waveform
Label mileage it is consistent with practical mileage, for subsequent data analysis reliable data source is provided.
Content based on the above embodiment, as a kind of alternative embodiment: the mileage of each waveform to be aligned determines mould
Block includes:
Superelevation channel data corresponds to waveform determination unit, for it is super to obtain multiple satisfactions according to the superelevation channel data
The waveform to be aligned of high channel data characteristics；
Similarity unit is calculated, for calculating the account waveform and multiple meeting the to be aligned of superelevation channel data feature
The similarity of waveform obtains the multiple candidate's waveforms to be aligned for meeting default similarity threshold；
Final each waveform determination unit to be aligned, for the multiple candidate to right according to the matching of global optimum's matching algorithm
Neat waveform and account waveform obtain final each waveform to be aligned；
The mileage number determination unit of each waveform to be aligned, for according in final each waveform to be aligned and the account
Number of passes evidence determines the mileage of each waveform to be aligned.
The embodiment of the present invention improves operation efficiency by doing operation to key feature superelevation channel data；By to doubtful
Curve strictly screens, and select global optimum as a result, obtain with the highest waveform to be detected of account Waveform Matching degree, improve
Accuracy rate；And the matching way can cope with detection data and lose several situations, availability is high.
Content based on the above embodiment, as a kind of alternative embodiment: reference line determining module includes:
Mileage sequence of differences determination unit, for the mileage and RF tag mileage according to each waveform to be aligned
Difference, obtain mileage sequence of differences；Execute mileage sequence determination unit；
First comparing unit, the frequency values occurred for difference each in the mileage sequence of differences and preset frequency
Threshold value, the frequency values that a difference occurs if it exists are greater than the preset frequency threshold, then select the corresponding waveform of the difference
Mileage is as a mileage sequence；Execute average calculation unit；
Average calculation unit, for calculate the corresponding original mileage of each waveform in the mileage sequence with match after
Waveform mileage between average value, the selection the smallest waveform of average value be benchmark line；If the smallest waveform of average value is
It is multiple, execute statistical match account waveform number unit；
Statistical match account waveform number unit, for determining for matching account waveform in the smallest waveform of each average value
Number, selecting the matching maximum waveform of number is benchmark line；If match the maximum waveform of number be it is multiple, execute standard deviation calculating
Unit；
It is each to calculate linear section for determining the linear section in the matching maximum waveform of number for standard deviation computing unit
Standard deviation M between node determines the matching maximum waveform validity V of number according to abnormal point method of determining and calculating, then reference line=max
((1/M)×V)。
The embodiment of the present invention can be avoided missing inspection, miss the stop etc. due to cause sampling to reduce or increase detection data make
On the basis of, so that the quality of data is higher.
Content based on the above embodiment, as a kind of alternative embodiment: reference line determining module further include:
Second comparing unit, the frequency values occurred for difference each in the mileage sequence of differences and preset frequency
Threshold value, the frequency values that a difference occurs if it exists are less than the preset frequency threshold, then select the difference corresponding to be aligned
Waveform is benchmark line；If the corresponding waveform to be aligned of difference is multiple, execution matching account waveform element；
Account waveform element is matched, determines the corresponding Waveform Matching platform to be aligned of difference described in second comparing unit
The number of account waveform, selecting the matching maximum waveform of number is benchmark line；If match the maximum waveform of number be it is multiple, execute
The standard deviation computing unit.
Content based on the above embodiment, as a kind of alternative embodiment: device further include:
Grouping or index searching module, the packet lookup or rope in section are established for the mileage to each waveform to be aligned
Draw lookup；
Grouping or index lookup range mileage determining module, for according to the reference line determine packet lookup or
Index the mileage of lookup range；
Merging module, for merging the mileage in the section, the detection waveform after obtaining reference line alignment.
The embodiment of the present invention improves subsequent access efficiency, and avoids unnecessary calculating, and computational efficiency is high.
Fig. 8 is electronic device block diagram provided in an embodiment of the present invention, as shown in figure 8, the equipment includes: processor
(processor) 801, memory (memory) 802 and bus 803；
Wherein, processor 801 and memory 802 complete mutual communication by bus 803 respectively；Processor 801 is used
In calling the program instruction in memory 802, to execute the method that will test waveform provided by above-described embodiment and be aligned,
For example, it obtains account mileage and generates multiple account waveforms；It obtains Wave data to be detected and generates each waveform to be aligned；
Each waveform to be aligned is matched according to the account waveform, obtains the mileage of each waveform to be aligned；According to described each
Mileage, RF tag mileage, the node mileage of linear section, each Waveform Matching to be aligned of waveform to be aligned
The number of abnormal nodes, determines the reference line of each waveform to be aligned in the number of account waveform, each waveform to be aligned；Calculate respectively to
The similarity being aligned between waveform is aligned similarity value minimum according to reference line and meets the waveform of similarity threshold.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, is stored thereon with computer program, should
The step of will test the method that waveform is aligned is realized when computer program is executed by processor.For example, obtain account
Mileage generates multiple account waveforms；It obtains Wave data to be detected and generates each waveform to be aligned；According to the account waveform
Each waveform to be aligned is matched, the mileage of each waveform to be aligned is obtained；According to the mileage of each waveform to be aligned
Data, RF tag mileage, the node mileage of linear section, the number of each Waveform Matching account waveform to be aligned,
The number of abnormal nodes in each waveform to be aligned, determines the reference line of each waveform to be aligned；Calculate the phase between each waveform to be aligned
Like degree, similarity value minimum is aligned according to reference line and meets the waveform of similarity threshold.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
The method of certain parts of example or embodiment.
Finally, applying specific embodiment in the present invention, principle and implementation of the present invention are described, above
The explanation of embodiment is merely used to help understand method and its core concept of the invention；Meanwhile for the general skill of this field
Art personnel, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, in conclusion this
Description should not be construed as limiting the invention.
Claims (16)
1. a kind of method that will test waveform and be aligned, which is characterized in that the described method includes:
It obtains account mileage and generates multiple account waveforms；
It obtains Wave data to be detected and generates each waveform to be aligned；
Each waveform to be aligned is matched according to the account waveform, obtains the mileage of each waveform to be aligned；
According to the mileage of each waveform to be aligned, RF tag mileage, the node mileage of linear section, each
The number of effective node, determines each waveform to be aligned in the number of Waveform Matching account waveform to be aligned, each waveform to be aligned
Reference line；
The similarity between each waveform to be aligned is calculated, similarity value minimum is aligned according to the reference line and meets similarity threshold
Waveform.
2. the method according to claim 1, wherein the Wave data to be detected includes: waveform to be detected
Original mileage, superelevation channel data；Wherein superelevation channel data is used to reflect the situation of change of curve.
3. according to the method described in claim 2, it is characterized in that, it is described according to the account waveform to each waveform to be aligned into
Row matching, the mileage for obtaining each waveform to be aligned include:
According to the superelevation channel data, multiple waveforms to be aligned for meeting superelevation channel data feature are obtained；
The similarity for calculating the account waveform and multiple waveforms to be aligned for meeting superelevation channel data feature obtains meeting pre-
If multiple candidate's waveforms to be aligned of similarity threshold；
The multiple candidate waveform to be aligned and account waveform are matched according to global optimum's matching algorithm, is obtained final each to be aligned
Waveform；
According to final each waveform to be aligned and the account mileage, the mileage of each waveform to be aligned is determined.
4. according to the method described in claim 3, it is characterized in that, the mileage according to each waveform to be aligned,
RF tag mileage, the node mileage of linear section, the number of each Waveform Matching account waveform to be aligned, respectively to right
The number of abnormal nodes, determines that the reference line of each waveform to be aligned includes: in neat waveform
Step 1, according to the difference of the mileage of each waveform to be aligned and RF tag mileage, mileage sequence of differences is obtained；
Execute step 2；
Step 2, each difference occurs in the mileage sequence of differences frequency values and preset frequency threshold, one is poor if it exists
The frequency values that value occurs are greater than the preset frequency threshold, then select the corresponding waveform mileage of the difference as one li
Program column；Execute step 3；
Step 3, calculate the corresponding original mileage of each waveform in the mileage sequence with match after waveform mileage it
Between average value, the selection the smallest waveform of average value be benchmark line；If the smallest waveform of average value is multiple, execution step 4；
Step 4, determine in the smallest waveform of each average value match account waveform number, select match the maximum waveform of number for
Reference line；If match the maximum waveform of number be it is multiple, then follow the steps 5；
Step 5, it determines the linear section in the matching maximum waveform of number, calculates the standard deviation M between each node of linear section, root
The matching maximum waveform validity V of number is determined according to abnormal point method of determining and calculating, then reference line=max ((1/M) × V).
5. according to the method described in claim 4, it is characterized in that, the mileage according to each waveform to be aligned,
RF tag mileage, the node mileage of linear section, the number of each Waveform Matching account waveform to be aligned, respectively to right
The number of abnormal nodes, determines the reference line of each waveform to be aligned in neat waveform further include:
Step 11, each difference occurs in the mileage sequence of differences frequency values and preset frequency threshold, if it exists one
The frequency values that difference occurs are less than the preset frequency threshold, then selecting the corresponding waveform to be aligned of the difference is benchmark line；
If the corresponding waveform to be aligned of difference is multiple, execution step 21；
Step 21, the number of the corresponding Waveform Matching account waveform to be aligned of difference in step 11 is determined, selection matching number is most
Big waveform is benchmark line；If match the maximum waveform of number be it is multiple, then follow the steps 5.
6. method according to claim 4 or 5, which is characterized in that the abnormal point method of determining and calculating includes that spectrum analysis is calculated
Method or outlier detection algorithm.
7. the method according to claim 1, wherein the method also includes:
The packet lookup in section is established to the mileage of each waveform to be aligned or index is searched；
Packet lookup is determined according to the reference line or indexes the mileage of lookup range；
The mileage for merging the section, the detection waveform after obtaining reference line alignment.
8. a kind of device that will test waveform and be aligned, which is characterized in that described device includes:
Account waveform generating module generates multiple account waveforms for obtaining account mileage；
Each waveform to be aligned generates, and generates each waveform to be aligned for obtaining Wave data to be detected；
The mileage determining module of each waveform to be aligned is used for according to the account waveform to each waveform progress to be aligned
Match, obtains the mileage of each waveform to be aligned；
Reference line determining module, for mileage, the RF tag mileage, linearity sector according to each waveform to be aligned
The node mileage of section, the number of each Waveform Matching account waveform to be aligned, in each waveform to be aligned abnormal nodes number,
Determine the reference line of each waveform to be aligned；
Reference line alignment module is aligned similarity value according to the reference line for calculating the similarity between each waveform to be aligned
Waveform that is minimum and meeting similarity threshold.
9. device according to claim 8, which is characterized in that the Wave data to be detected includes: waveform to be detected
Original mileage, superelevation channel data；Wherein superelevation channel data is used to reflect the situation of change of curve.
10. device according to claim 9, which is characterized in that the mileage determining module of each waveform to be aligned
Include:
Superelevation channel data corresponds to waveform determination unit, for obtaining multiple superelevation that meet and leading to according to the superelevation channel data
The waveform to be aligned of track data feature；
Similarity unit is calculated, for calculating the account waveform and multiple waveforms to be aligned for meeting superelevation channel data feature
Similarity, obtain the multiple candidate's waveforms to be aligned for meeting default similarity threshold；
Final each waveform determination unit to be aligned, for matching the multiple candidate's wave to be aligned according to global optimum's matching algorithm
Shape and account waveform obtain final each waveform to be aligned；
The mileage number determination unit of each waveform to be aligned, for according to final each waveform to be aligned and the account mileage number
According to determining the mileage of each waveform to be aligned.
11. device according to claim 10, which is characterized in that the reference line determining module includes:
Mileage sequence of differences determination unit, for according to the mileage of each waveform to be aligned and RF tag mileage it
Difference obtains mileage sequence of differences；Execute mileage sequence determination unit；
First comparing unit, the frequency values and preset frequency threshold occurred for difference each in the mileage sequence of differences
Value, the frequency values that a difference occurs if it exists are greater than the preset frequency threshold, then select in the corresponding waveform of the difference
Number of passes is according to as a mileage sequence；Execute average calculation unit；
Average calculation unit, for calculate the corresponding original mileage of each waveform in the mileage sequence with match after wave
Average value between shape mileage, the selection the smallest waveform of average value are benchmark line；If the smallest waveform of average value be it is multiple,
Execute statistical match account waveform number unit；
Statistical match account waveform number unit, for determining the number for matching account waveform in the smallest waveform of each average value,
Selecting the matching maximum waveform of number is benchmark line；If match the maximum waveform of number be it is multiple, execute standard deviation calculate it is single
Member；
Standard deviation computing unit calculates each node of linear section for determining the linear section in the matching maximum waveform of number
Between standard deviation M, the matching maximum waveform validity V of number, then reference line=max ((1/ are determined according to abnormal point method of determining and calculating
M)×V)。
12. device according to claim 11, which is characterized in that the reference line determining module further include:
Second comparing unit, the frequency values and preset frequency threshold occurred for difference each in the mileage sequence of differences
Value, the frequency values that a difference occurs if it exists are less than the preset frequency threshold, then select the corresponding wave to be aligned of the difference
Shape is benchmark line；If the corresponding waveform to be aligned of difference is multiple, execution matching account waveform element；
Account waveform element is matched, determines the corresponding Waveform Matching account wave to be aligned of difference described in second comparing unit
The number of shape, selecting the matching maximum waveform of number is benchmark line；If match the maximum waveform of number be it is multiple, execute described in
Standard deviation computing unit.
13. device according to claim 11 or 12, which is characterized in that the abnormal point method of determining and calculating includes spectrum analysis
Algorithm or outlier detection algorithm.
14. device according to claim 8, which is characterized in that described device further include:
Grouping or index searching module, establish the packet lookup in section for the mileage to each waveform to be aligned or index are looked into
It looks for；
The mileage determining module of grouping or index lookup range, for determining packet lookup or index according to the reference line
The mileage of lookup range；
Merging module, for merging the mileage in the section, the detection waveform after obtaining reference line alignment.
15. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that realizing when the processor executes described program will test as described in any one of claim 1 to 7
The step of method that waveform is aligned.
16. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The step of will test the method that waveform is aligned as described in any one of claim 1 to 7 is realized when program is executed by processor.
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