CN107314776A - It is a kind of that the method that data carry out mileage calibration is detected based on railroad track - Google Patents
It is a kind of that the method that data carry out mileage calibration is detected based on railroad track Download PDFInfo
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
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Abstract
The invention provides a kind of method that mileage calibration is carried out based on rail detection data, belong to orbit geometry parameter detection technique field.The mileage drift error problem that the present invention exists for the detection data that existing track detecting train is produced, it is proposed that a kind of to be combined the method handled rail detection data with section matching algorithm using multiple batches of.The present invention is mainly comprised the following steps：Sectional processing is carried out to reference waveform first, then the different section match pattern of integrated use calculates the mileage error of each section of waveform to be calibrated, it is final to treat alignment of waveforms data progress section mileage calibration district by district using obtaining mileage error.The present invention largely meets the demand of the design of rail detection data mileage calibration algorithm and displaying suitable for the mileage calibration of different zones and the detection data of different stage track；Meanwhile, the present invention can carry out quality evaluation and prediction using rail detection data, and then to instruct railway maintenance to provide more accurate theoretical foundation.
Description
Technical field
The invention belongs to orbit geometry parameter detection technique field, and in particular to one kind is entered based on railroad track detection data
The method of row mileage calibration.
Background technology
Track is one of major technique equipment of railway, is the basis of driving.One of effect of track is to ensure that wheel is transported
Row it is fixed it is linear on, realize smooth wheel route out of shape, track irregularity will destroy the performance of this function, and make wheel
Route out of shape is no longer smooth.Rough wheel route out of shape will cause Vehicular vibration and wheel-rail force to change.Vehicular vibration
Change with wheel-rail force not only influences train driving comfortableness and security, the life-span of the short track equipments of Hai Hui Shrink, simultaneously
Track irregularity will be made further to deteriorate.So, in order to ensure that track provides reliable operation basis for train operation, railway is public
Reconditioning work is often organized and implemented in business part for track, and track checking car detects data (Track Geometry
Measurements, TGM) it is that railway public affair department holds one of most important status data of track irregularity state.
The mileage deviation of track checking car detection data refers on the mileage and circuit of the sampled point of middle record between true mileage
Deviation.The presence of mileage deviation not only reduces the utilization rate of skylight, increases the labor intensity of on-site personnel, even more important
Be due to the presence of mileage deviation, it is impossible to from track checking car detect data in obtain data on individual equipment exactly, enter without
The state of data evaluation individual equipment can be detected using track checking car, leads to not to realize for individual equipment (for example, curve, each
Kind of changeover portion etc.) management；In addition, if directly calculating track geometry status, result of calculation there are the data of mileage deviation
The accuracy of implementation reconditioning work scheme can be influenceed, the effect of live maintenance also can not be just ensured, and then driving can be caused
Potential safety hazard so that track irregularity state change rule is ground to make internal disorder or usurp and loses reliable status data basis.Prior art
In in mileage calibration can be divided mainly into two kinds, the first for account information mileage calibrate, second be multiple batches of translation in
Journey is calibrated.The deficiency that both mileage calibration methods are present is mainly manifested in two aspects, and one is the mileage school of account information
Quasi- limitation is big, it is impossible to make full use of Wave data, secondly being carried out more without application account information for the calibration of multiple batches of mileage
Accurate matching.Thus, in addition to can be by further improving the technology that inspection rail car kilometer is positioned, equally needing one kind badly can
Reduce mileage deviation, and then the method for realizing amendment mileage deviation as much as possible.
The content of the invention
In order to overcome the deficiencies in the prior art, the present invention provides a kind of railroad track detection data that are based on and carries out mileage calibration
Method, with this method can realize track geometry status data mileage correct, and then improve rail detection data processing
Efficiency, can be applied to analysis and processing that a large amount of track checking cars detect data.
To achieve the above object, the present invention provides following technical scheme：
It is a kind of that the method that data carry out mileage calibration is detected based on railroad track, comprise the following steps：
It is a kind of that the method that data carry out mileage calibration is detected based on railroad track, comprise the following steps：
Step A：According to the region of search scope of set progress section partition, each note is obtained by each measuring point of order traversal
The curvature of point is recorded, whether is then that zero does not treat alignment of waveforms and reference waveform carries out section partition, and divide according to curvature
Do not store each section information of waveform to be calibrated and each section information of reference waveform sequentially, the section information include sector number S,
Originate mileage B, starting mileage subscript Bi, mileage E is terminated, subscript B is terminatedi, all measuring points in mileage offset O and each section
Maximum curvature value Z；
Step B：Order calculates the mileage offset of each section of waveform to be calibrated；
B1：Complete step A after, since first section of waveform to be calibrated backward one by one with reference waveform first
Section is matched, and matching standard is section direction, then judges to calculate undulating segment to be calibrated and phase again after section direction is consistent
The mismatch angle value A of measuring point in reference waveform section is answered, according to the matching step number threshold value of setting, if sequentially being obtained if regulation step number
The next section of waveform to be calibrated is taken, respective section numbering and A are preserved if in regulation matching step numbermin, so far obtained above-mentioned
The A into undulating segment to be calibratedminThe sector number of place section is used as basic match point P；
B2：It is suitable since waveform to be calibrated section where basic match point P using the section of reference waveform as benchmark
Sequence travels through each section of waveform to be calibrated, is matched one by one with each section of reference waveform；The positive match pattern of matching process synthesis,
Negative relational matching pattern and calculate mileage value and deviation accumulation value match pattern these three patterns：
Whether first determine whether section type is linear section, if then directly by undulating segment measuring point number to be calibrated with
Corresponding reference waveform section measuring point number difference is as mileage offset and preserves data, then order matching reference waveform
Next section；If otherwise judging whether mismatch angle value A is less than threshold value, if then directly by undulating segment measuring point to be calibrated
Number with reference waveform section measuring point number difference is as mileage offset and preserves data, then order matching reference waveform
Next section；Judged if not according to the matching step number threshold value of setting, if the match is successful in regulation step number, sequentially will
Mismatch section merges into a section to the section between match point, and its measuring point number is then calculated with the section of reference waveform
Difference is as mileage offset and preserves data, sequentially obtain next reference waveform section with treating if in the regulation step number
The mismatch section of alignment of waveforms carries out negative relational matching, and continuation judges whether negative relational matching succeeds, if then by waveform area to be calibrated
Segment record point number and reference waveform section measuring point number difference is as mileage offset and preserves data, then sequentially obtain
Next section of reference waveform is taken to be matched with undulating segment to be calibrated；If the mismatch section that otherwise calculation of sector numbering is L
The mileage value of all sections and mileage offset aggregate-value before, and then obtain matching section, by reference waveform section and
The difference of the measuring point number of the matching section is as mileage offset and preserves data；So far each section of waveform to be calibrated is obtained
Mileage offset；
Step C：Each sector data is calibrated using each section mileage offset of waveform to be calibrated.
In step C of the present invention using each section mileage offset of waveform to be calibrated each sector data is calibrated it is specific
Operation is as follows；
The positive and negative and its order of magnitude of each section mileage offset in waveform to be calibrated according to acquired in step B,
It is uniform in each section to delete or uniformly increase measuring point, so as to complete to detect railroad track the mileage calibration of data.
Reference waveform can be the account data being stored in system database in the present invention, or by artificial place
Manage the reference waveform formed.
It can be seen from those skilled in the art's common knowledge：Because orbital data has many small burr data, therefore, drawing
Divide and many unnecessary away minor segments are had after curvature section occurred, mileage of the present invention has been calibrated in order to solve above-mentioned burr data
Influence, step A of the present invention also includes discontinuity error correction after section partition is completed and filters out unnecessary burr section, so
Section of the waveform mean curvature value to be calibrated less than minimum value in the curvature value of all measuring points of reference waveform is deleted afterwards, and will be deleted
Except section is merged before and after part.
There is a situation where mark curve before step B operations are carried out also including step B in the present invention0：
Step B0：Reference waveform is calibrated according to account data；Specially：By comparing each curve section institute of reference waveform
Mileage information near correspondence account curve section, left and right translation reference waveform obtains the perfect match with account curve section.
Match point is found in step B2 of the present invention and then the mileage offset for obtaining each section is calculated, using following three kinds of skills
Art means：
First, positive matching, i.e., using the section of reference waveform as benchmark, the basic match point location from waveform to be calibrated
Section starts to match with each section of reference waveform successively backward；
2nd, negative relational matching, i.e., the mismatch section using waveform to be calibrated is as benchmark, since the respective section of reference waveform
Matched successively with above-mentioned mismatch section backward；
3rd, matching section is obtained by calculating the method for mileage value and deviation accumulation value.
The present invention above-mentioned three kinds of technological means of integrated use in the matching process, matching process is mainly with reference waveform
In each section as calibration standard, since waveform to be calibrated section where basic match point P, order traversal waveform to be calibrated
Each section, is matched with each section of reference waveform one by one, if not realizing positive in regulation step number in the matching process
Match somebody with somebody, then negative relational matching is carried out to mismatch section, the success of mismatch section negative relational matching then continues the next reference waveform section of acquisition and entered
The positive matching of row, mismatch section negative relational matching failure is then obtained and base using the method for calculating mileage value and deviation accumulation value
The section for the waveform to be calibrated that waveform section matches.
Further, regulation step number is specially 16~36 sections when the present invention is matched.
Because the data source difference that reference waveform is used in matching algorithm, therefore, mismatch in the case of causing two kinds
Angle value A calculating is different, specifically：
In step B1 of the present invention, using account data as reference waveform, the formula for calculating mismatch angle value A is：
A=(mi-ni)
Wherein, miOn the basis of i-th of measuring point of undulating segment curvature value, niFor the song of i-th of measuring point of waveform to be calibrated
Rate value；
In step B1 of the present invention, using reference waveform as reference waveform, the formula for calculating mismatch angle value A is：
Wherein, miOn the basis of i-th of measuring point of undulating segment curvature value, niFor the song of i-th of measuring point of waveform to be calibrated
Rate value.
Further, calculate mileage value in step B2 of the present invention and deviation accumulation value match pattern is specific as follows：
Using the starting mileage of section where basic match point P as benchmark mileage B, then add up each section one by one backward
Length and mileage deviation are until sector number is terminates at L mismatch section, and specific formula for calculation is：
B+(T1-T2)×Sl
In formula：B is the starting mileage value of section where basic match point P, T1For from section where basic match point P to mistake
Each section original length aggregate-value with section, T2Offset for each section from section where basic match point P to mismatch section
The aggregate-value of amount, SlFor step-length, the exhausted of any two adjacent recorded dots mileage difference in Wave data to be calibrated is specially represented
To value；
Wherein：T1And T2Calculation formula specifically respectively it is as follows：
In formula：BmFor the starting mileage of section, EmFor the end mileage of section, L is the sector number of mismatch section, and B is base
The starting mileage value of section where this match point P, S [i] represents any one section, and O is the mileage offset of section.
Step C of the present invention mainly treats alignment of waveforms data according to the mileage offset of each section and carries out piecewise mileage school
Standard, the mode of calibration be according to the positive and negative and its order of magnitude of mileage offset in each section uniform insertion measuring point or
Uniform deletion record point, it is so-called " uniform " as every ScIndividual point carries out the operation of a measuring point, above-mentioned ScReferred to as step number, has
Body calculation formula is as follows：
Sc=[N ÷ O]
In formula：Sc is step number, and O is the mileage offset of section, and N is the length of section；
Wherein, N calculation formula is as follows：
N=S [i]->Ei-S[i]->Bi
S [i] represents any one section, BiFor the starting subscript of section, EiFor the termination subscript of section.
Further, the specific formula for calculation of each section mileage calibration is as follows in step C：
In formula：N is sector number, and S [i] represents any one section, BmFor the starting mileage of section, EmFor in the end of section
Journey, O is the mileage offset of section.
Compared with prior art, beneficial effects of the present invention are as follows：
The invention provides a kind of data preprocessing method for eliminating mileage drift error in rail detection data, by seeking
Match point is looked for, and a variety of match patterns are used by undulating segment to be calibrated and the progress of reference waveform section since match point
Match somebody with somebody, calculate and obtain mileage offset；The present invention can carry out mileage calibration using account information, or further by by standard
Wave data is combined realization with account information and more accurately matched.The present invention is applied to different zones and different stage track
Detection data mileage calibration, largely meet rail detection data mileage calibration algorithm design with displaying need
Ask；The present invention can carry out quality evaluation and prediction using rail detection data, and then to instruct railway maintenance to provide more
Accurately theoretical foundation.
Brief description of the drawings
Fig. 1 is the algorithm flow schematic diagram of mileage calibration of the present invention；
Fig. 2 is the algorithm flow schematic diagram of section partition in mileage calibration；
Fig. 3 is the main-process stream schematic diagram of section partition and rejecting burr section in mileage calibration of the present invention；
Fig. 4 is the algorithm flow schematic diagram that basic match point is obtained during mileage is calibrated；
Fig. 5 is the algorithm flow signal that match point is found during mileage is calibrated and then the mileage offset for obtaining each section is calculated
Figure.
Embodiment
Below in conjunction with Figure of description, the present invention will be described in detail：
Detect that data carry out the overall algorithm flow chart of mileage calibration based on railroad track as shown in Figure 1 for the present invention, specifically
Comprise the following steps：
Step A：Waveform to be calibrated and reference waveform are subjected to section partition respectively；
Step B：The mileage offset O of each section of waveform to be calibrated is calculated using section matching algorithm, wherein step B includes
2 points below：
B1：The sector number of the waveform to be calibrated matched with the section of reference waveform first is searched as basic match point P；
B2：Each section of waveform to be calibrated is traveled through by initial point of basic match point P and calculates and record the mileage of each section
Offset；
Step C：Each sector data is calibrated using each section mileage offset of waveform to be calibrated；
Then each step is further illustrated successively below with respect to algorithm flow schematic diagram：
Step A main purpose is that waveform to be calibrated and reference waveform carried out into section partition respectively, and Wave data base
As shown in Fig. 2 specific as follows the step of curvature carries out section partition：
(1) make pointer point to the starting point of waveform to be calibrated or reference waveform, and obtain the curvature data of the point；
(2) a newly-built section S, makes the starting point of section, and starting point direction and starting mileage point to point with pointer, and
And make S length be 1；
(3) curvature data and the section direction of pointer current point are obtained；
(4) judge whether this point is end point, if then terminating algorithm, if otherwise performing step (5)；
(5) whether this direction is identical with upper direction, if otherwise steps performed (7), if performing step (6)；
(6) make section S length plus 1 so that the pointer of Wave data is moved rearwards by, in setting section S curvature datas most
Big value performs step (3) as section S curvature value；
(7) section makes S coordinate and result mileage be set as coordinate and mileage that pointer is pointed to, and section S is saved in
In section list, step (2) is performed；
Wherein, key data structure section S attribute includes herein below：Sector number S, starting mileage B, originate mileage
Subscript Bi, mileage E is terminated, subscript B is terminatedi, the maximum curvature value Z of offset O and all measuring points of section.
Whether it according to curvature is 0 to be divided that section partition is in the present embodiment, i.e., by judging pointer in ripple to be calibrated
Whether the direction of shape is identical with upper direction to be judged.
It can be seen from common sense in the field：Many unnecessary away minor segments are had after curvature section has been divided to occur, this be because
There are many small burr data for orbital data.As shown in figure 3, solution is the progress discontinuity error after section partition
Amendment, filters out these unnecessary small datas, then deletes waveform mean curvature value to be calibrated less than all measuring points of reference waveform
Curvature value in minimum value section, and by delete part before and after section merge.
In the case where there is mark curve, also include before step B operations are carried out preliminary by account data progress
The step B of correction0, concrete operations are as follows：
Step B0：By the mileage information corresponding to each curve section of comparison basis waveform near account curve section,
Left and right translation references waveform obtains the perfect match with account curve section.
Step B main purpose is the mileage offset O that each section of waveform to be calibrated is calculated using section matching algorithm, this
Invention is preferred to search best match section, schematic flow sheet as shown in figure 4, then integrating different technologies hand based on least square method
Section obtains mileage offset, is specifically divided into following two steps：
B1：Using least square method, search and the first section of reference waveform match in sequence in waveform to be calibrated
Section, and using its sector number as basic match point P, concrete operations are as follows：
(1) first sector data is obtained since Wave data starting point to be calibrated；
(2) step number record value C is set to 0；
(3) whether the section direction of criterion waveform and the section direction of waveform to be calibrated are consistent, are performed if consistent
Step (4), performs step (7) if inconsistent；
(4) the quadratic sum value of the difference of respective record point between undulating segment to be calibrated and reference waveform is calculated and preserved respectively
A；
(5) judge whether step number record value C is more than target step number S, step (6) is performed if consistent, if not then performing
Step (7)；
(6) sector number of section, performs step B2 where preserving the minimum value in all A values；
(7) next section of waveform to be calibrated is obtained；
(8) step number record value C increases by 1 automatically, then perform step (3)；
It can be seen from common sense in the field：When carrying out mileage calibration based on account data, matching degree is judged in accompanying drawing 4
Standard (being stated using A values) should be by " calculating and preserving undulating segment to be calibrated and reference waveform or account data respectively
Between the quadratic sum value A " of difference of respective point be changed to " judge the curvature value of undulating segment to be calibrated and the corresponding section of account first
Whether the difference A of curvature value is less than threshold value ", the threshold value is set with specific reference to practical operation.
B2：Each section of waveform to be calibrated is traveled through by initial point of basic match point P and calculates and record the mileage of each section
Offset, as shown in figure 5, concrete operations are as follows：
(1) first section of reference waveform is obtained；
(2) whether criterion undulating segment terminates, if so, step (14) is then performed, if otherwise performing step (3)；
(3) whether judge the standard section is linear section, if, then it is assumed that the match is successful, performs step (12), if not
Then perform step (4)；
(4) step Numerical C zero setting will just be joined；
(5) the next section of waveform to be calibrated is matched with the standard section；
(6) successful match is judged whether, if then performing waveform step (12), if otherwise performing step (7)；
(7) judge whether step Numerical C is less than threshold value S, if so, step (8) is then performed, if otherwise performing step (9)；
(8) step Numerical C performs step (5) from increasing 1；
(9) negative relational matching is carried out；
(10) judge whether negative relational matching succeeds, if so, step (12) is then performed, if otherwise performing step (11)；
(11) the acquisition matching section of mileage value and deviation accumulation value is calculated；
(12) offset is calculated；
(13) next reference waveform section is obtained, step (2) is performed；
(14) algorithm is terminated.
It can be seen from common sense in the field：When carrying out mileage calibration based on account data, judge whether in accompanying drawing 4 successfully
Whether the difference A with the curvature value that should judge undulating segment to be calibrated and the curvature value of the corresponding section of account first is less than threshold value；
When carrying out mileage calibration based on reference waveform, judge whether that successful match should judge undulating segment to be calibrated and platform in accompanying drawing 4
Whether the quadratic sum A of the difference of account the first section respective record point is less than threshold value.
It can be seen that by above-mentioned algorithm flow：Need to calculate and correction offset after the match is successful, present invention design
Algorithm idea it is specific as follows：If the undulating segment to be calibrated matched with reference waveform section is linear section, directly takes and treat
The difference of alignment of waveforms section mileage value and reference waveform section mileage value is used as mileage offset；If with reference waveform section
The undulating segment to be calibrated matched somebody with somebody is curve section, is divided into two kinds of situations：
One：Once just the match is successful, then directly take undulating segment mileage value to be calibrated and reference waveform section mileage value
Difference be used as mileage offset；
Secondly：Once the match is successful, then mismatch section is merged into reference waveform section to be matched or to be matched
Account data one new section of formation, is then matched, mileage offset is obtained until the match is successful again.
Further, when the undulating segment to be calibrated matched with reference waveform section is curve section, second of feelings
Successful match in step number can not be being provided under condition, then mileage offset is obtained using negative relational matching, be specifically with mismatch section
As benchmark, matched backward successively since reference waveform does not match section, it is impossible to the successful match in regulation step number, then
Matching section is obtained using the mileage value and the method for mileage offset aggregate-value that calculate all sections..This calculating side
Formula is matched based on the mode for determining basic match point, and is used as judgment basis using theoretical mileage is in combination.Here
Theoretical mileage refer to the starting mileage of section where basic match point P as benchmark mileage B, then add up backward one by one every
The length and deviation of one section, until sector number is to terminate at L mismatch section.In theory, above-mentioned calculation
Very close to the mileage of reference waveform, therefore it can ensure that matching is accurate.
The present embodiment provides the above-mentioned side for being previously mentioned the mileage value for calculating all sections and mileage offset aggregate-value
Method, it is specific as follows shown：
Using the starting mileage of section where basic match point P as benchmark mileage B, then add up each section one by one backward
Length and mileage deviation are until sector number is terminates at L mismatch section, and specific formula for calculation is：
B+(T1-T2)×Sl
In formula：B is the starting mileage value of section where basic match point P, T1For from section where basic match point P to mistake
Each section original length aggregate-value with section, T2Offset for each section from section where basic match point P to mismatch section
The aggregate-value of amount, SlFor step-length, the exhausted of any two adjacent recorded dots mileage difference in Wave data to be calibrated is specially represented
To value；
Wherein：T1And T2Calculation formula specifically respectively it is as follows：
In formula：BmFor the starting mileage of section, EmFor the end mileage of section, L is the sector number of mismatch section, and B is base
The starting mileage value of section where this match point P, S [i] represents any one section, and O is the mileage offset of section.
Step C primary operational is that each section mileage offset of waveform to be calibrated is carried out to each sector data obtained by step B
Calibration；The mode of calibration be according to the positive and negative and its order of magnitude of mileage offset in each section uniform insertion measuring point or
The uniform deletion record point of person, it is so-called " uniform " as every ScIndividual point carries out the operation of a measuring point, above-mentioned ScReferred to as step number,
Specific formula for calculation is as follows：
Sc=[N ÷ O]
In formula：Sc is step number, and O is the mileage offset of section, and N is the length of section；
Wherein, N calculation formula is as follows：
N=S [i]->Ei-S[i]->Bi
S [i] represents any one section, BiFor the starting subscript of section, EiFor the termination subscript of section.
Further, the specific formula for calculation of each section mileage calibration is as follows in step C：
In formula：N is sector number, and S [i] represents any one section, BmFor the starting mileage of section, EmFor in the end of section
Journey, O is the mileage offset of section.
Embodiments of the invention are set forth above in association with accompanying drawing, but the invention is not limited in above-mentioned specific
Embodiment, above-mentioned embodiment is only schematical, rather than restricted, and one of ordinary skill in the art exists
Under the enlightenment of the present invention, in the case of present inventive concept and scope of the claimed protection is not departed from, many shapes can be also made
Formula, these are belonged within the protection of the present invention.
Claims (10)
1. a kind of detect the method that data carry out mileage calibration based on railroad track, comprise the following steps：
Step A：According to the region of search scope of set progress section partition, each measuring point is obtained by each measuring point of order traversal
Curvature, whether be then that zero does not treat alignment of waveforms and reference waveform and carries out section partition, and press respectively according to curvature
Sequence stores each section information of waveform to be calibrated and each section information of reference waveform, and the section information includes sector number S, starting
Mileage B, starting mileage subscript Bi, mileage E is terminated, subscript B is terminatedi, all measuring points are most in mileage offset O and each section
Deep camber value Z；
Step B：Order calculates the mileage offset of each section of waveform to be calibrated；
B1：After step A is completed, the first section since first section of waveform to be calibrated backward one by one with reference waveform
Matched, matching standard is section direction, then judges to calculate undulating segment to be calibrated and corresponding base again after section direction is consistent
The mismatch angle value A of measuring point in waveform section, according to the matching step number threshold value of setting, is treated if sequentially being obtained if regulation step number
The next section of alignment of waveforms, respective section numbering and A are preserved if in regulation matching step numbermin, so far treated above-mentioned
A in alignment of waveforms sectionminThe sector number of place section is used as basic match point P；
B2：Using the section of reference waveform as benchmark, since waveform to be calibrated section where basic match point P, sequentially time
Each section of waveform to be calibrated is gone through, is matched one by one with each section of reference waveform；Matching process integrates positive match pattern, reversely
Match pattern and calculate mileage value and deviation accumulation value match pattern these three patterns：
Whether be linear section, if then directly by undulating segment measuring point number to be calibrated and accordingly if first determining whether section type
Reference waveform section measuring point number difference is as mileage offset and preserves data, then order matching reference waveform under
One section；If otherwise judge mismatch angle value A whether be less than threshold value, if then directly by undulating segment measuring point number to be calibrated with
Reference waveform section measuring point number difference is as mileage offset and preserves data, then order matching reference waveform under
One section；Judged if not according to the matching step number threshold value of setting, if the match is successful in regulation step number, sequentially by mismatch
Section merges into a section to the section between match point, and the difference of its measuring point number is then calculated with the section of reference waveform
Value is as mileage offset and preserves data, sequentially obtained if in the regulation step number next reference waveform section with it is to be calibrated
The mismatch section of waveform carries out negative relational matching, and continuation judges whether negative relational matching succeeds, if then remembering undulating segment to be calibrated
Record point number and reference waveform section measuring point number difference is as mileage offset and preserves data, then order obtains base
Next section of waveform is matched with undulating segment to be calibrated；If before the mismatch section that otherwise calculation of sector numbering is L
The mileage value and mileage offset aggregate-value of all sections, and then matching section is obtained, by reference waveform section and this
The difference of measuring point number with section is as mileage offset and preserves data；So far obtain in each section of waveform to be calibrated
Journey offset；
Step C：Each sector data is calibrated using each section mileage offset of waveform to be calibrated.
2. a kind of method that data progress mileage calibration is detected based on railroad track according to any one of claim 1, its
It is characterised by, also includes discontinuity error correction after section partition is completed in the step A and filter out unnecessary burr area
Section.
3. a kind of method that data progress mileage calibration is detected based on railroad track according to claim 1, its feature is existed
In also including step B before the step B0,
B0：Reference waveform is calibrated according to account data；
Specially：By comparing the mileage information corresponding to each curve section of reference waveform near account curve section, left and right
Translation reference waveform obtains the perfect match with account curve section.
4. a kind of according to claim 1 detect the method that data carry out mileage calibration based on railroad track, it is characterised in that
The concrete operations of the mileage calibration are as follows：
The positive and negative and its order of magnitude of each section mileage offset in waveform to be calibrated according to acquired in step B, in each area
It is uniform in section to delete or uniformly increase measuring point, so as to complete to detect railroad track the mileage calibration of data.
5. according to any one of Claims 1-4 it is described it is a kind of based on railroad track detect data carry out mileage calibration method, its
It is characterised by, the reference waveform is account data or reference waveform.
6. a kind of according to claim 5 detect the method that data carry out mileage calibration based on railroad track, it is characterised in that
In the step B1, using account data as reference waveform, the formula for calculating mismatch angle value A is：
A=(mi-ni)
Wherein, miOn the basis of i-th of measuring point of undulating segment curvature value, niFor the curvature of i-th of measuring point of waveform to be calibrated
Value.
7. a kind of according to claim 5 detect the method that data carry out mileage calibration based on railroad track, it is characterised in that
In the step B1, using reference waveform as reference waveform, the formula for calculating mismatch angle value A is：
Wherein, miOn the basis of i-th of measuring point of undulating segment curvature value, niFor the curvature of i-th of measuring point of waveform to be calibrated
Value.
8. a kind of method that data progress mileage calibration is detected based on railroad track according to claim 6 or 7, its feature
It is, the calculation formula of step number is when the deletion record point uniform in each section or uniform increase measuring point：
Sc=[N ÷ O]
In formula：Sc is step number, and O is the mileage offset of section, and N is the length of section；
Wherein, N calculation formula is as follows：
N=S [i]->Ei-S[i]->Bi
In formula, S [i] represents any one section, BiFor the starting subscript of section, EiFor the termination subscript of section.
9. a kind of method that data progress mileage calibration is detected based on railroad track according to claim 6 or 7, its feature
It is, the specific formula for calculation of each section mileage calibration is as follows in the step C：
In formula：N is sector number, and S [i] represents any one section, BmFor the starting mileage of section, EmFor the end mileage of section, O
For the mileage offset of section.
10. a kind of method that data progress mileage calibration is detected based on railroad track according to claim 6 or 7, it is special
Levy and be, the mileage value of all sections is calculated in the step B2 and the method for mileage offset aggregate-value is specially：
It regard the starting mileage of section where basic match point P as benchmark mileage B, the length for each section that then adds up one by one backward
With mileage deviation until sector number is terminates at L mismatch section, specific formula for calculation is：
B+(T1-T2)×Sl
In formula：B is the starting mileage value of section where basic match point P, T1For from section where basic match point P to mismatch area
Each section original length aggregate-value of section, T2For from section where basic match point P to each segment offset of mismatch section
Aggregate-value, SlFor step-length, the absolute value of any two adjacent recorded dots mileage difference in Wave data to be calibrated is specially represented；
Wherein：T1And T2Calculation formula specifically respectively it is as follows：
In formula：BmFor the starting mileage of section, EmFor the end mileage of section, L is the sector number of mismatch section, and B is basic
Starting mileage value with section where point P, S [i] represents any one section, and O is the mileage offset of section.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108595374A (en) * | 2018-03-26 | 2018-09-28 | 中国铁道科学研究院 | High speed railway track geometry minor change recognition methods and device |
| CN108592853A (en) * | 2018-04-09 | 2018-09-28 | 中国铁道科学研究院 | Track plates arch upward position identifying method, device, storage medium and equipment |
| CN110197133A (en) * | 2019-05-13 | 2019-09-03 | 中国铁路总公司 | It will test the method and apparatus that waveform is aligned |
| CN112461299A (en) * | 2020-12-02 | 2021-03-09 | 中国铁道科学研究院集团有限公司 | Turnout section track feature identification method and device |
| CN113071529A (en) * | 2021-04-09 | 2021-07-06 | 中国铁道科学研究院集团有限公司 | Track elasticity detection method and device |
| CN113375690A (en) * | 2021-06-17 | 2021-09-10 | 河南隧炬智能科技有限公司 | Mileage calibration coding system for subway tunnel defect mobile detection and construction method |
| CN114459505A (en) * | 2022-02-22 | 2022-05-10 | 北京交通大学 | Method for calibrating absolute mileage of dynamic inspection data based on machine account curve characteristic points |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6353796B1 (en) * | 1996-10-24 | 2002-03-05 | Trimble Navigation Limited | Vehicle tracker, mileage-time monitor and calibrator |
| CN101118163A (en) * | 2006-08-01 | 2008-02-06 | 铁道科学研究院基础设施检测研究所 | Train GPS mileage self-correcting system and correcting method thereof |
| WO2010030855A1 (en) * | 2008-09-11 | 2010-03-18 | Uniq Holdings Inc. | Electronic mileage logger |
| CN102337710A (en) * | 2010-07-19 | 2012-02-01 | 西安奥通数码科技有限公司 | GPS (Global Positioning System) track irregularity detection system and method |
| KR20140052430A (en) * | 2012-10-24 | 2014-05-07 | 현대모비스 주식회사 | Method for improve moving distance measurement accuracy of vehicle distance totalizer and device thereof |
| JP2015089150A (en) * | 2013-10-28 | 2015-05-07 | 株式会社エイクラ通信 | Mileage arithmetic unit |
| WO2016007393A2 (en) * | 2014-07-07 | 2016-01-14 | Railpod, Inc. | Automated track inspection system |
| CN106197472A (en) * | 2016-09-27 | 2016-12-07 | 中信重工开诚智能装备有限公司 | A kind of rail mounted robot Distance positioning and mileage calibrating installation and method |
-
2017
- 2017-06-12 CN CN201710437307.1A patent/CN107314776B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6353796B1 (en) * | 1996-10-24 | 2002-03-05 | Trimble Navigation Limited | Vehicle tracker, mileage-time monitor and calibrator |
| CN101118163A (en) * | 2006-08-01 | 2008-02-06 | 铁道科学研究院基础设施检测研究所 | Train GPS mileage self-correcting system and correcting method thereof |
| WO2010030855A1 (en) * | 2008-09-11 | 2010-03-18 | Uniq Holdings Inc. | Electronic mileage logger |
| CN102337710A (en) * | 2010-07-19 | 2012-02-01 | 西安奥通数码科技有限公司 | GPS (Global Positioning System) track irregularity detection system and method |
| KR20140052430A (en) * | 2012-10-24 | 2014-05-07 | 현대모비스 주식회사 | Method for improve moving distance measurement accuracy of vehicle distance totalizer and device thereof |
| JP2015089150A (en) * | 2013-10-28 | 2015-05-07 | 株式会社エイクラ通信 | Mileage arithmetic unit |
| WO2016007393A2 (en) * | 2014-07-07 | 2016-01-14 | Railpod, Inc. | Automated track inspection system |
| CN106197472A (en) * | 2016-09-27 | 2016-12-07 | 中信重工开诚智能装备有限公司 | A kind of rail mounted robot Distance positioning and mileage calibrating installation and method |
Non-Patent Citations (1)
| Title |
|---|
| 赵杨: "轨道不平顺状态的评价与分析", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108595374A (en) * | 2018-03-26 | 2018-09-28 | 中国铁道科学研究院 | High speed railway track geometry minor change recognition methods and device |
| CN108595374B (en) * | 2018-03-26 | 2022-02-22 | 中国铁道科学研究院集团有限公司 | Method and device for identifying geometric tiny changes of high-speed railway track |
| CN108592853A (en) * | 2018-04-09 | 2018-09-28 | 中国铁道科学研究院 | Track plates arch upward position identifying method, device, storage medium and equipment |
| CN110197133A (en) * | 2019-05-13 | 2019-09-03 | 中国铁路总公司 | It will test the method and apparatus that waveform is aligned |
| CN110197133B (en) * | 2019-05-13 | 2021-06-25 | 中国铁路总公司 | Method and apparatus for aligning detected waveforms |
| CN112461299A (en) * | 2020-12-02 | 2021-03-09 | 中国铁道科学研究院集团有限公司 | Turnout section track feature identification method and device |
| CN112461299B (en) * | 2020-12-02 | 2022-04-08 | 中国铁道科学研究院集团有限公司 | Turnout section track feature identification method and device |
| CN113071529A (en) * | 2021-04-09 | 2021-07-06 | 中国铁道科学研究院集团有限公司 | Track elasticity detection method and device |
| CN113375690A (en) * | 2021-06-17 | 2021-09-10 | 河南隧炬智能科技有限公司 | Mileage calibration coding system for subway tunnel defect mobile detection and construction method |
| CN113375690B (en) * | 2021-06-17 | 2024-02-20 | 河南隧炬智能科技有限公司 | Mileage calibration coding system for subway tunnel defect movement detection and construction method |
| CN114459505A (en) * | 2022-02-22 | 2022-05-10 | 北京交通大学 | Method for calibrating absolute mileage of dynamic inspection data based on machine account curve characteristic points |
| CN114459505B (en) * | 2022-02-22 | 2023-12-26 | 北京交通大学 | Dynamic detection data absolute mileage calibration method based on standing account curve feature points |
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