CN105625123A - Ballastless track CA mortar layer disease detecting method and device - Google Patents
Ballastless track CA mortar layer disease detecting method and device Download PDFInfo
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- CN105625123A CN105625123A CN201510874856.6A CN201510874856A CN105625123A CN 105625123 A CN105625123 A CN 105625123A CN 201510874856 A CN201510874856 A CN 201510874856A CN 105625123 A CN105625123 A CN 105625123A
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01B—PERMANENT WAY; PERMANENT-WAY TOOLS; MACHINES FOR MAKING RAILWAYS OF ALL KINDS
- E01B35/00—Applications of measuring apparatus or devices for track-building purposes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01B—PERMANENT WAY; PERMANENT-WAY TOOLS; MACHINES FOR MAKING RAILWAYS OF ALL KINDS
- E01B2204/00—Characteristics of the track and its foundations
- E01B2204/09—Ballastless systems
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Abstract
The invention discloses a ballastless track CA mortar layer disease detecting method and device, and relates to the technical field of railway engineering. The method comprises the following steps that a space sampling sequence of a CA mortar layer is determined according to a dielectric constant of a testing wire on a ballastless track plate and a thickness of the ballastless track plate; an initial sequence of the space sampling sequence is determined through wavelet analysis, size coefficients of the space sampling sequence and wavelet coefficients of the space sampling sequence are filtered to obtain filter size coefficients of the space sampling sequence and filter wavelet coefficients of the space sampling sequence, and the filter size coefficients of the space sampling sequence and the filter wavelet coefficients of the space sampling sequence are reconstructed to form a reconstructed sequence; and a disease position of the CA mortar layer is obtained according to the reconstructed sequence. Through the method, the disease position of the CA mortar layer can be quickly detected.
Description
Technical field
The present invention relates to railway engineering technology field, more particularly relate to a kind of non-fragment orbit CA screed Defect inspection method and device.
Background technology
After high-speed railway formally puts into effect, wireline inspection is safeguarded becomes one of groundwork of safeguarding high ferro normal operation. The non-fragment orbit that high-speed railway adopts mainly has two kinds of forms, i.e. plate-type ballastless track and double-block type ballastless track.
Non-fragment orbit generally comprises armored concrete track plates, plain concrete supporting layer (CA (English is: cementasphalt, and Chinese is called for short: cement pitch) screed) and graded broken stone (roadbed lathe top layer). Wherein, CA screed is element cement emulsified asphalt mortar layer, all unreinforceds. Relative to reinforced concrete member, under high speed load impacting vibrates, unreinforced concrete or mortar structure are easier to crack damage, especially in the region that concrete is uneven, break and often have generation.
At present, the method such as artificial process, GPR is specifically included that for the detection method of non-fragment orbit disease. Wherein, artificial process is mainly through the external presentation of the empiric observation disease of workman, judge the position of disease, size, as observed the color of effluent in curb, cutting, determine whether the degree risen soil and rise soil, but disease is constantly present from little disease to the evolution of big disease, or extends to the process of outer surface from underbead crack. Owing to external presentation can be judged by surface, but internal disease then has disguise, not easily observes from external presentation, discovery, and the discovery of outside disease simultaneously is also easily by the impact of anthropic factor.
It is fast that GPR has speed of detection, and precision is high, it is possible to the feature of continuous detecting, is widely used in concrete defect detection. But in armored concrete, the particularly ballastless track of high-speed railway of Multi-Storey Reinforced Concrete Structures, the defect of CA screed is in multistory reinforced bottom, the impact of the noise signal being mixed the uneven difference in dielectric constant caused by reinforcing bar echo, many subwaves and concrete itself and cause, electromagnetic wave is very weak through the transmission signal of reinforcing bar, make when to GPR Imaging figure time frequency analysis, it is difficult to get a desired effect.
Summary of the invention
The embodiment of the present invention provides a kind of non-fragment orbit CA screed Defect inspection method and device, adopts GPR, utilizes the feature that ballastless track of high-speed railway track plates reinforcing bar law of symmetry is distributed, it is possible to quickly detect the disease position of CA screed.
The embodiment of the present invention provides a kind of non-fragment orbit CA screed Defect inspection method, including:
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
Pass through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtain the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Pass through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
According to described reconstruction sequence, obtain described CA screed disease position.
It is preferred that the described thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed, including:
The radar signal of described ballastless track boards is carried out space-time analysis, it is determined that described ballastless track boards locus in signal graph and described radar signal transmission time between described ballastless track boards and radar;
Locus in signal graph of thickness according to described ballastless track boards, described ballastless track boards, the described radar signal transmission time between described ballastless track boards and radar and the dielectric constant on described p-wire, it is determined that described CA screed locus in described signal graph and described radar signal transmission time between described CA screed and described radar;
Described p-wire position on described ballastless track boards is determined according to described CA screed locus in described signal graph, according to the transmission time between described CA screed and described radar, determine described radar test interval between each test point on described p-wire, according to described radar test interval between each test point on described p-wire, it is determined that described CA screed spatial sampling sequence in described signal graph.
It is preferred that described in pass through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, including:
With Haar small echo for morther wavelet, described spatial sampling sequence is carried out multilamellar decomposition, it is determined that the initiation sequence of described spatial sampling sequence.
It is preferred that described by wavelet analysis, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, including:
Multiresolution analysis according to Mallat small echo, described spatial sampling sequence carried out multilamellar decomposition on metric space and wavelet space, according to described decomposition result, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence.
It is preferred that described ballastless track boards includes on p-wire several test points;
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that before the spatial sampling sequence of CA screed, also include:
Obtain the dielectric constant in each test point on described ballastless track boards p-wire, the dielectric constant average of the dielectric constant in each test point described being defined as on described non-fragment orbit on p-wire.
The embodiment of the present invention provides a kind of non-fragment orbit CA screed Defect inspection device, including:
Determine unit, for the thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
First acquiring unit, is used for passing through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtains the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Reconfiguration unit, for passing through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
Second acquisition unit, for according to described reconstruction sequence, obtaining described CA screed disease position.
It is preferred that described determine unit specifically for:
The radar signal of described ballastless track boards is carried out space-time analysis, it is determined that described ballastless track boards locus in signal graph and described radar signal transmission time between described ballastless track boards and radar;
Locus in signal graph of thickness according to described ballastless track boards, described ballastless track boards, the described radar signal transmission time between described ballastless track boards and radar and the dielectric constant on described p-wire, it is determined that described CA screed locus in described signal graph and described radar signal transmission time between described CA screed and described radar;
Described p-wire position on described ballastless track boards is determined according to described CA screed locus in described signal graph, according to the transmission time between described CA screed and described radar, determine described radar test interval between each test point on described p-wire, according to described radar test interval between each test point on described p-wire, it is determined that described CA screed spatial sampling sequence in described signal graph.
It is preferred that described first acquiring unit specifically for:
With Haar small echo for morther wavelet, described spatial sampling sequence is carried out multilamellar decomposition, it is determined that the initiation sequence of described spatial sampling sequence.
It is preferred that described reconfiguration unit specifically for:
Multiresolution analysis according to Mallat small echo, described spatial sampling sequence carried out multilamellar decomposition on metric space and wavelet space, according to described decomposition result, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence.
It is preferred that described ballastless track boards includes on p-wire several test points;
Described determine that unit is additionally operable to:
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that before the spatial sampling sequence of CA screed, also include:
Obtain the dielectric constant in each test point on described ballastless track boards p-wire, the dielectric constant average of the dielectric constant in each test point described being defined as on described non-fragment orbit on p-wire.
In the embodiment of the present invention, thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, may determine that the spatial sampling sequence of CA screed, pass through wavelet analysis, determine the initiation sequence of described spatial sampling sequence, obtain the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence; Pass through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence; According to described reconstruction sequence, obtain described CA screed disease position. Owing to the reinforcing bar of non-fragment orbit middle orbit plate transversely, is longitudinally symmetric, such that it is able to the signal according to detection radar detection, the reinforcing bar determined in track plates is still symmetric in radar signal figure, further, owing to the distribution of the disease in CA screed is random manner, such that it is able to the distribution in aperiodic in radar signal figure. In embodiments of the present invention, adopt wavelet analysis method, the wavelet coefficient of the scale coefficient of spatial sampling sequence and described spatial sampling sequence can be filtered, such that it is able to by the target signal filter in period profile in radar signal figure, and rebuild filtered, it is determined that the disease position in CA screed. Adopt said method, existing detection method can be adopted, pass through wavelet analysis, can quickly determine the disease position in CA screed, it is suitable for high-speed railway to run throughout the year, the operation characteristic that Window time is short, and meet the demand that disease position, disease scale are quickly positioned by high-speed railway.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
A kind of non-fragment orbit CA screed Defect inspection method flow diagram that Fig. 1 provides for the embodiment of the present invention;
Reinforcing bar distributed model schematic diagram in the ballastless track boards that Fig. 2 provides for the embodiment of the present invention;
The emulation schematic diagram of the reinforcing bar distributed model in the ballastless track boards that Fig. 3 provides for the embodiment of the present invention;
Fig. 4 A just drills 305 row space sample sequence emulation schematic diagrams for what the embodiment of the present invention provided;
Fig. 4 B just drills 280 row space sample sequence emulation schematic diagrams for what the embodiment of the present invention provided;
The low frequency signal reconstruction signal schematic diagram that Fig. 5 provides for the embodiment of the present invention;
The CRTSII plate-type ballastless track structure schematic diagram that Fig. 6 A provides for the embodiment of the present invention;
The CRTSII plate-type ballastless track structure diagram of the existence disease that Fig. 6 B provides for the embodiment of the present invention;
The ballastless track boards that Fig. 7 provides for the embodiment of the present invention arranges 4 p-wire schematic diagrams;
Fig. 8 A is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 1 p-wire;
Fig. 8 B is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 2 p-wire;
Fig. 8 C is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 3 p-wire;
Fig. 8 D is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 4 p-wire;
Fig. 9 A is the low frequency signal reconstruct schematic diagram of embodiment of the present invention Article 1 p-wire;
Fig. 9 B is the low frequency signal reconstruct schematic diagram of embodiment of the present invention Article 2 p-wire;
Fig. 9 C is the low frequency signal reconstruct schematic diagram of embodiment of the present invention Article 3 p-wire;
Fig. 9 D is the low frequency signal reconstruct schematic diagram of embodiment of the present invention Article 4 p-wire;
A kind of non-fragment orbit CA screed Defect inspection apparatus structure schematic diagram that Figure 10 provides for the embodiment of the present invention.
Detailed description of the invention
In embodiments of the present invention, pass through wavelet analysis method, high-frequency signal in the wavelet coefficient of the scale coefficient of spatial sampling sequence and spatial sampling sequence can be filtered, and after the low frequency signal of reservation is reconstructed with do not occur the CA screed signal graph of disease to compare, such that it is able to the disease position quickly oriented in CA mortar. Said method is suitable for high-speed railway and runs throughout the year, the operation characteristic that Window time is short, and meets the demand that disease position, disease scale are quickly positioned by high-speed railway.
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments. Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
The following is the technical term related in the embodiment of the present invention:
1, non-fragment orbit: (English is: unballastedtrack), refers to that the track structure adopting the mass-type foundation such as concrete, asphalt to replace shot ballast bed is referred to as non-fragment orbit to be also called ballastless track. Its sleeper itself is that concrete casting forms, and roadbed is without rubble, and rail, sleeper are directly layered in way of concrete foundations. Non-fragment orbit is made up of rail, fastener, cell board, plays damping, decompressing effect. Its ride comfort is good, good stability, long service life, good endurance, and maintenance work is few, it is to avoid splashing railway ballast.
2, wavelet transformation (wavelettransform, English abbreviation: WT): it is a kind of new transform analysis method, can the feature of abundant some aspect of outstanding problem by wavelet transformation, can to the localization analysis of time (space) frequency, by flexible shift operations, signal (function) is progressively carried out multi-scale refinement, it is finally reached high frequency treatment time subdivision, the frequency segmentation of low frequency place, any details of signal can automatically adapt to the requirement that time frequency signal is analyzed, thus can be focused on. Compared with converting with Fourier (Chinese is: Fourier), be a time and frequency domain local conversion thus can extraction information from signal effectively, by calculation functions such as flexible and translations, function or signal are carried out multiscale analysis, solve Fourier and convert indeterminable many difficult problems.
3, multiresolution analysis (MultiresolutionAnalysis, English abbreviation: MRA) concept be by S.Mallat and Y.Meyer on the basis of forefathers' extensive work in 1986 propose, from the conceptive multi-resolution characteristics figuratively understanding small echo in space, along with the descending change of yardstick, the different characteristic of observation image that can be from coarse to fine on each yardstick.
A kind of non-fragment orbit CA screed Defect inspection method flow diagram that Fig. 1 provides for the embodiment of the present invention, the method can apply in railroad track detection.
As it is shown in figure 1, a kind of non-fragment orbit CA screed Defect inspection method that the embodiment of the present invention provides mainly comprises the following steps:
Step 101, the thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
Step 102, passes through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtains the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Step 103, pass through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
Step 104, according to described reconstruction sequence, obtains described CA screed disease position.
In a step 101, the p-wire on ballastless track boards can have one, it is possible to has two, it is possibility to have some, and wherein, the determination of the p-wire on ballastless track boards is relevant to the concrete width being test for ballastless track boards. If the quantity of the p-wire on ballastless track boards is fewer, then can be test for particular location as required, distance between p-wire is set, if the quantity of the p-wire on ballastless track boards is relatively more, each bar p-wire then can be set on the surface of ballastless track boards uniformly, and ensure that the spacing between each p-wire is equal. In embodiments of the present invention, the quantity of the p-wire arranged on ballastless track boards is not done concrete restriction, the spacing between each p-wire is not also limited meanwhile.
In actual applications, owing to the length of the ballastless track boards of needs test may be different, the length of the p-wire namely arranged on ballastless track boards also can be different. In embodiments of the present invention, when determining the dielectric constant on the p-wire arranged on ballastless track boards, can pass through to determine the dielectric constant in several test points on p-wire respectively, then the dielectric constant in several test points determined is taken average, it is to be determined to average be defined as on ballastless track boards arrange p-wire on dielectric constant. In embodiments of the present invention, it is possible to determine on ballastless track boards the dielectric constant in each test point on p-wire by dielectrometer.
The length of the p-wire owing to arranging on ballastless track boards may be different, and therefore, the quantity of the test point that p-wire is determined also can be different. In embodiments of the present invention, it is necessary to determine the spacing between test point according to the test minimum spacing of GPR. For example, if the minimum spacing of GPR test is 2mm, it may be determined that the minimum range between test point on p-wire can be 2mm, and meanwhile, the distance between test point on p-wire can also is that the multiple of 2. In the embodiment of the present invention, the minimum spacing of GPR test is not done concrete restriction; Meanwhile, the quantity of the test point that p-wire on ballastless track boards is arranged is not done concrete restriction yet.
In a step 101, the thickness of ballastless track boards can be determined according to the model of the track plates that reality is laid, or determine the thickness of non-fragment orbit at test site field survey. For example, the thickness of the track plates of I model is the thickness of 30cm, II model track plates is 20cm. In inventive embodiments, the thickness defining method of ballastless track boards is not specifically limited.
In actual applications, due to ballastless track boards reinforcing bar be distributed transversely, longitudinal center symmetrical, by the GPR detection to ballastless track boards, it is possible to occur apparent in radar signal figure, and the reinforcing bar signal graph being symmetric.
In embodiments of the present invention, adopt wavelet transformation, it is possible to will pass through GPR to ballastless track boards detection after, it is determined that radar signal in direct wave filter, from the radar signal being filtered out direct wave, it may be determined that ballastless track boards locus in radar signal figure; According to the distance between electromagnetic wave propagation speed and GPR and ballastless track boards, it may also be determined that the electromagnetic one way transmission time that GPR sends to ballastless track boards, further, it is also possible to determine the electromagnetic round trip transmission time that GPR sends to non-fragment orbit.
Specifically, according to locus in signal graph of the thickness of ballastless track boards, ballastless track boards, the radar signal transmission time between ballastless track boards and radar and the dielectric constant on p-wire, pass through wavelet analysis, it may be determined that CA screed locus in signal graph and radar signal transmission time between CA screed and radar.
For example, if the dielectric constant on the p-wire arranged on ballastless track boards is ��rm, the thickness of ballastless track boards is h, and ballastless track boards locus in signal graph is xg, GPR is t to the electromagnetic one way transmission time that ballastless track boards is sentg, according to formula (1), it may be determined that the electromagnetic one way transmission time that CA screed locus in signal graph and GPR send to CA screed. Wherein, CA screed locus in signal graph can use formula (2) to represent; The electromagnetic one way transmission time that GPR sends to CA screed can use formula (3) to represent.
In the above-described embodiments, formula (1) is:
In formula, v represents the speed that electromagnetic wave is propagated in ballastless track boards; C=3 �� 108M/s represents the light velocity, ��rmRepresent average dielectric constant.
Formula (2) is:
xi=xg+h(2)
In formula, xiFor CA screed locus in radar map; xgFor locus in radar map, the ground; H is the thickness of ballastless track boards.
Formula (3) is:
ti=tg+h/v(3)
In formula, tiFor CA screed time in radar map; tgFor ground time in radar map; H is the thickness of ballastless track boards, and v represents the speed that electromagnetic wave is propagated in ballastless track boards.
In embodiments of the present invention, due to GPR test minimum spacing it has been determined that so, GPR is when detecting one by one the p-wire being arranged on ballastless track boards, can according to the test minimum spacing of GPR, it is determined that the spacing between each adjacent test point. Such as, the spacing between adjacent test point is equal with the test minimum spacing of GPR, or N times of the test minimum spacing that the spacing between adjacent test point is GPR, wherein, N is the integer more than 1.
In embodiments of the present invention, it is possible to according to GPR to the test interval between each test point on p-wire, CA screed spatial sampling sequence in signal graph is further determined. For example, if on p-wire five testing times that test point is total are 5T by GPR, wherein, the electromagnetic round trip transmission time that GPR sends to ballastless track boards is t, then may determine that the test interval between each test point on p-wire is by GPR: T-t. In the embodiment of the present invention, to determining that the concrete grammar of the test interval between each test point on p-wire is not limited by GPR.
Further, according to wavelet analysis, it may be determined that CA screed spatial sampling sequence in signal graph.
In a step 102, after the spatial sampling sequence determining the p-wire being arranged on ballastless track boards, it is possible to adopt Haar wavelet function, with Haar small echo for morther wavelet, the spatial sampling sequence of p-wire is carried out multilamellar decomposition, so that it is determined that the initiation sequence of spatial sampling sequence.
For example, if certain signal sequence is { x1, x2, x3, x4. This signal is carried out multilamellar decomposition, specifically includes:
First the first two signal in signal sequence (4) according to the following formula is calculated, determines x respectively1��x2And a1,0��d1,0Between relation:
In formula, a1,0It is original signal the first two value x1��x2Average, be called low-frequency component, reflect the first two value x1��x2Basic feature or coarse trend; d1,0Reflect x1��x2Difference, i.e. detailed information, be called radio-frequency component.
Latter two signal in signal sequence is calculated according to formula (5), it is determined that x3��x4And a1,1��d1,1Between relation:
In formula, a1,1It is latter two value x of original signal3��x4Average, be called low-frequency component, reflect latter two value x3��x4Basic feature or coarse trend; d1,1Reflect x3��x4Difference, i.e. detailed information, be called radio-frequency component.
By { a1,0, a1,1, d1,0, d1,1Regard as { x1, x2, x3, x4The result of linear transformation implemented.
Further, conversion down can also carry out according to formula (6):
a0,0=(a1,0+a1,1)/2
=((x1+x2)/2+(x3+x4)/2)/2(6)
=(x1+x2+x3+x4)/4
In formula (6), a0,0It is that it is the information that original signal is most basic to final average of 4 signal elements;
Through quadratic transformation, we obtain the another kind of expression of original signal:
{a0,0, d0,0, d1,0, d1,1}
This sequence is called the wavelet transformation of former sequence.
Further, after determining the initiation sequence of spatial sampling sequence, it is possible to obtain the scale coefficient of spatial sampling sequence and the wavelet coefficient of spatial sampling sequence.
In embodiments of the present invention, it is required to determine that it the disease position of CA screed, owing to GPR is that ballastless track boards is detected, in signal pattern, the signal of the reinforcing bar in ballastless track boards occupies majority in signal pattern, and the signal of CA screed is small-signal, very faint of the change in signal pattern. In embodiments of the present invention, in order to determine the disease position of CA screed, it is necessary to by the reinforcing bar target signal filter in the ballastless track boards occupying majority in signal pattern, and the small-signal of CA screed is retained. Specifically, the multiresolution analysis according to Mallat small echo, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains the filter scale coefficient of spatial sampling sequence and the filtering wavelet coefficient of spatial sampling sequence.
Further, the filtering wavelet coefficient of the filter scale coefficient of the spatial sampling sequence obtained and spatial sampling sequence is reconstructed, obtains reconstruction sequence.
At step 104, according to reconstruction sequence, obtain CA screed disease position. Specifically, the filtered sequence of reconstruct can be reduced to signal graph, compare with the signal graph of the existing CA screed not finding disease, if two width figure there are differences, then may determine that being test for CA screed exists disease, and according to concrete discrepancy, it is determined that the disease particular location of CA screed; By reproducing sequence, by threshold value, the peak value in signal graph can also be taken, the difference according to the peak value in signal graph Yu adjacent peak, it is determined that the disease particular location of CA screed. In the embodiment of the present invention, the method for the disease particular location determining CA screed from reproducing sequence is not limited.
In the embodiment of the present invention, thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, may determine that the spatial sampling sequence of CA screed, pass through wavelet analysis, determine the initiation sequence of described spatial sampling sequence, obtain the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence; Pass through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence; According to described reconstruction sequence, obtain described CA screed disease position. Owing to the reinforcing bar of non-fragment orbit middle orbit plate transversely, is longitudinally symmetric, such that it is able to the signal according to detection radar detection, the reinforcing bar determined in track plates is still symmetric in radar signal figure, further, owing to the distribution of the disease in CA screed is random manner, such that it is able to the distribution in aperiodic in radar signal figure. In embodiments of the present invention, adopt wavelet analysis method, the wavelet coefficient of the scale coefficient of spatial sampling sequence and described spatial sampling sequence can be filtered, such that it is able to by the target signal filter in period profile in radar signal figure, and rebuild filtered, it is determined that the disease position in CA screed. Adopt said method, existing detection method can be adopted, pass through wavelet analysis, can quickly determine the disease position in CA screed, it is suitable for high-speed railway to run throughout the year, the operation characteristic that Window time is short, and meet the demand that disease position, disease scale are quickly positioned by high-speed railway.
In order to a kind of non-fragment orbit CA screed Defect inspection method that the embodiment of the present invention provide is discussed in detail, below to determine emulation non-fragment orbit CA screed disease method, the detailed process of the embodiment of the present invention is discussed in detail:
Reinforcing bar distributed model schematic diagram in the ballastless track boards that Fig. 2 provides for the embodiment of the present invention, including: non-fragment orbit 201, reinforcing bar 202 and disease 203 of coming to nothing. Wherein, reinforcing bar distributed model is of a size of 5.5*2.5m, and in non-fragment orbit 201, distribution has two-layer reinforcing bar 202, the spacing between reinforcing bar 202 altogether is 50cm, reinforcing bar 202 radius 8cm; The size radius of disease of coming to nothing 203 is 10cm.
In ballastless track boards, other parameters in reinforcing bar distributed model are as shown in table 1:
Other parameters in table 1 reinforcing bar distributed model
Convert (Chinese is: distribution Fourier algorithm, is called for short SSF) by Split-StepFourier reinforcing bar distributed model in ballastless track boards is emulated. Wherein, simulation result is 985*657 matrix, including: scanning 657 roads altogether along survey line scanning direction (x direction), be spaced apart 0.84cm between road, during per pass sampling, window is 121.5ns, and sampling number is 985 points.
The emulation schematic diagram of the reinforcing bar distributed model in the ballastless track boards that Fig. 3 provides for the embodiment of the present invention, as shown in Figure 3, can be seen that 10 reinforcing bars of ground floor are high-visible at the hyperbolic individual features curve of radar map, parabolical top and reinforcing bar position, tip position correspondence time coordinate is 14.71ns; Second layer reinforcing bar top is not as obvious by the parabola top that affects of ground floor reinforcing bar; The radar individual features curve in disease cavity is inconspicuous, it is impossible to directly judge the position of disease.
According to table 1, may determine that the dielectric constant of ballastless track boards, the electromagnetic wave sent according to GPR spread speed in ballastless track boards, ballastless track boards locus in signal graph can be calculated, further, disease locus in signal graph, cavity can be calculated, i.e. cavity disease depth information in signal graph.
Due to said method, can only probably estimate the position of cavity disease, it is impossible to enough particular locations determining cavity disease accurately. Based on this, it is possible to according to the empty disease position estimated, from just drilling the spatial sampling sequence obtaining the disease place degree of depth estimated emulation radar map.
Fig. 4 A just drills 305 row space sample sequences for what the embodiment of the present invention provided, and Fig. 4 B just drills 280 row space sample sequences for what the embodiment of the present invention provided.
As described in Fig. 4 A and Fig. 4 B, it may be determined that disease top 280 row sample sequence data are period profile, estimate disease depth location the 305th row between 200 .-300, occur in that the jump of signal. To the corresponding spatial sampling sequence in Fig. 4 A, with Haar small echo for morther wavelet, do 6 decomposition.
Utilize wavelet multi_resolution analysis, filter primary signal at wavelet space W1��W5Projection in (ground floor to layer 5), only retains its low frequency part at W6(layer 6) projection spatially, then reconstruction signal.
As shown in Figure 5, for the low frequency signal reconstruction signal schematic diagram that the embodiment of the present invention provides, as shown in Figure 5, may determine that obvious peak value occurs between sequence 224-256, in embodiments of the present invention, according to reinforcing bar distributed model schematic diagram in ballastless track boards, pre-determine the position of cavity disease. And by a kind of non-fragment orbit CA screed Defect inspection method that the embodiment of the present invention provides, it is determined that the position consistency of the empty disease position gone out and the empty disease pre-estimated.
In order to a kind of non-fragment orbit CA screed Defect inspection method that the embodiment of the present invention provide is discussed in detail, below for on-the-spot test non-fragment orbit CA screed disease method, the detailed process of the embodiment of the present invention is discussed in detail:
The CRTSII plate-type ballastless track structure schematic diagram that Fig. 6 A provides for the embodiment of the present invention, wherein CRTSII type track plates is of a size of 6.45m �� 2.55m, and every piece of track plates has 10 tracks, and 3 injected holes have inverted triangle gap between track and track.
The CRTSII plate-type ballastless track structure diagram of the existence disease that Fig. 6 B provides for the embodiment of the present invention, wherein, disease in CRTSII plate-type non-fragment orbit, it is in non-fragment orbit process of deployment, disease has been laid in advance in CA screed, as shown in Figure 6B, the lucite plastic casing that wherein A place seals for inner hollow; B-E place is relative dielectric constant ��rThe polyethylene of �� 1.
In embodiments of the present invention, to, in the detection of ballastless track boards, have employed Italy's IDS company GPR main frame and 900M antenna, wherein, detection parameter is as shown in table 2.
Table 2 radar antenna parameter
In actual applications, owing to the volume of antenna is relatively big, it is of a size of 43cm �� 43cm, and between rail, track spacing is 73cm, so being provided with 4 p-wires on ballastless track boards. Arranging 4 p-wire schematic diagrams on the ballastless track boards that Fig. 7 provides for the embodiment of the present invention, wherein, the spacing between every p-wire is 10cm.
When the dielectric constant determined on ballastless track boards on every p-wire, Percometer dielectric constant and conductivity measurement can be selected to select 10 points to obtain the dielectric constant of each point on every p-wire, the dielectric constant of 10 test points on each p-wire is averaged, it is possible to obtain the dielectric constant on each p-wire on ballastless track boards.
According to the dielectric constant on p-wire each on ballastless track boards, the electromagnetic wave that GPR main frame sends spread speed in ballastless track boards, ballastless track boards locus in signal graph can be calculated, it is possible to further calculate the approximate location of CA screed.
Owing to estimating the approximate location of CA screed, it is possible to obtain corresponding spatial sampling sequence according to the result of estimation. This test takes the 90th sampling point Special composition sample sequence of every track data.
Fig. 8 A is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 1 p-wire; Fig. 8 B is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 2 p-wire; Fig. 8 C is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 3 p-wire; Fig. 8 D is the spatial sequence schematic diagram of the 90th sampled point on embodiment of the present invention Article 4 p-wire;
To 4 spatial sampling sequences in Fig. 8 A, Fig. 8 B, Fig. 8 C and Fig. 8 D, with Haar small echo for morther wavelet, carry out 6 times and decomposed.
Utilize wavelet multi_resolution analysis, filter primary signal at wavelet space W1��W5Projection in (ground floor to layer 5), only retains its low frequency part at W6(layer 6) projection spatially, then reconstruction signal.
Fig. 9 A is the low frequency signal reconstruction signal schematic diagram of embodiment of the present invention Article 1 p-wire; Fig. 9 B is the low frequency signal reconstruction signal schematic diagram of embodiment of the present invention Article 2 p-wire; Fig. 9 C is the low frequency signal reconstruction signal schematic diagram of embodiment of the present invention Article 3 p-wire; Fig. 9 D is the low frequency signal reconstruction signal schematic diagram of embodiment of the present invention Article 4 p-wire; Wherein, Fig. 9 A, Fig. 9 B, Fig. 9 C and Fig. 9 D all in various degree reflect CA screed disease position. At the scene in test, immediately below Article 1 p-wire, there is no disease, so, the signal contrast of Fig. 9 A is not clearly; And the underface of Article 4 p-wire contains disease B-E, so the signal in Fig. 9 D is clearly passable, contrast is substantially; Further, owing to disease A is in below track, not in the underface of four p-wires, so, reflection of electromagnetic wave energy in A place is less, and does not show in the signal contrast figure of these four p-wires.
Based on same inventive concept, embodiments provide a kind of non-fragment orbit CA screed Defect inspection device, owing to the principle of this device solution technical problem is similar to a kind of non-fragment orbit CA screed Defect inspection method, therefore the enforcement of this device may refer to the enforcement of method, repeats part and repeats no more.
As shown in Figure 10, for a kind of non-fragment orbit CA screed Defect inspection apparatus structure schematic diagram that the embodiment of the present invention provides, including determining unit 10, the first acquiring unit 11, reconfiguration unit 12 and second acquisition unit 13.
Determine unit 10, for the thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
First acquiring unit 11, is used for passing through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtains the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Reconfiguration unit 12, for passing through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
Second acquisition unit 13, for according to described reconstruction sequence, obtaining described CA screed disease position.
It is preferred that described determine unit 10 specifically for:
The radar signal of described ballastless track boards is carried out space-time analysis, it is determined that described ballastless track boards locus in signal graph and described radar signal transmission time between described ballastless track boards and radar;
Locus in signal graph of thickness according to described ballastless track boards, described ballastless track boards, the described radar signal transmission time between described ballastless track boards and radar and the dielectric constant on described p-wire, it is determined that described CA screed locus in described signal graph and described radar signal transmission time between described CA screed and described radar;
Described p-wire position on described ballastless track boards is determined according to described CA screed locus in described signal graph, according to the transmission time between described CA screed and described radar, determine described radar test interval between each test point on described p-wire, according to described radar test interval between each test point on described p-wire, it is determined that described CA screed spatial sampling sequence in described signal graph.
It is preferred that described first acquiring unit 11 specifically for:
With Haar small echo for morther wavelet, described spatial sampling sequence is carried out multilamellar decomposition, it is determined that the initiation sequence of described spatial sampling sequence.
It is preferred that described reconfiguration unit 12 specifically for:
Multiresolution analysis according to Mallat small echo, described spatial sampling sequence carried out multilamellar decomposition on metric space and wavelet space, according to described Multiresolution Decomposition result, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence.
It is preferred that described ballastless track boards includes on p-wire several test points;
Described determine that unit 10 is additionally operable to:
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that before the spatial sampling sequence of CA screed, also include:
Obtain the dielectric constant in each test point on described ballastless track boards p-wire, the dielectric constant average of the dielectric constant in each test point described being defined as on described non-fragment orbit on p-wire.
Should be appreciated that the unit that above non-fragment orbit CA screed Defect inspection device includes is only the logical partitioning that the function realized according to this apparatus carries out, in practical application, it is possible to carry out superposition or the fractionation of said units. And the non-fragment orbit CA screed Defect inspection method one_to_one corresponding that the function that the non-fragment orbit CA screed Defect inspection device that this embodiment provides realizes provides with above-described embodiment, for the handling process specifically that this device realizes, said method embodiment one is described in detail, is not described in detail herein.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program. Therefore, the present invention can adopt the form of complete hardware embodiment, complete software implementation or the embodiment in conjunction with software and hardware aspect. And, the present invention can adopt the form at one or more upper computer programs implemented of computer-usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) wherein including computer usable program code.
The present invention is that flow chart and/or block diagram with reference to method according to embodiments of the present invention, equipment (system) and computer program describe. It should be understood that can by the combination of the flow process in each flow process in computer program instructions flowchart and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame. These computer program instructions can be provided to produce a machine to the processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device so that the instruction performed by the processor of computer or other programmable data processing device is produced for realizing the device of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and can guide in the computer-readable memory that computer or other programmable data processing device work in a specific way, the instruction making to be stored in this computer-readable memory produces to include the manufacture of command device, and this command device realizes the function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices provides for realizing the step of function specified in one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame.
Although preferred embodiments of the present invention have been described, but those skilled in the art are once know basic creative concept, then these embodiments can be made other change and amendment. So, claims are intended to be construed to include preferred embodiment and fall into all changes and the amendment of the scope of the invention.
Obviously, the present invention can be carried out various change and modification without deviating from the spirit and scope of the present invention by those skilled in the art. So, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a non-fragment orbit CA screed Defect inspection method, it is characterised in that including:
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
Pass through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtain the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Pass through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
According to described reconstruction sequence, obtain described CA screed disease position.
2. detection method as claimed in claim 1, it is characterised in that the described thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed, including:
The radar signal of described ballastless track boards is carried out space-time analysis, it is determined that described ballastless track boards locus in signal graph and described radar signal transmission time between described ballastless track boards and radar;
Locus in signal graph of thickness according to described ballastless track boards, described ballastless track boards, the described radar signal transmission time between described ballastless track boards and radar and the dielectric constant on described p-wire, it is determined that described CA screed locus in described signal graph and described radar signal transmission time between described CA screed and described radar;
Described p-wire position on described ballastless track boards is determined according to described CA screed locus in described signal graph, according to the transmission time between described CA screed and described radar, determine described radar test interval between each test point on described p-wire, according to described radar test interval between each test point on described p-wire, it is determined that described CA screed spatial sampling sequence in described signal graph.
3. detection method as claimed in claim 1, it is characterised in that described in pass through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, including:
With Haar small echo for morther wavelet, described spatial sampling sequence is carried out multilamellar decomposition, it is determined that the initiation sequence of described spatial sampling sequence.
4. detection method as claimed in claim 1, it is characterised in that described by wavelet analysis, is filtered the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence, including:
Multiresolution analysis according to Mallat small echo, described spatial sampling sequence is carried out multilamellar decomposition on metric space and wavelet space, according to described decomposition result, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence.
5. detection method as claimed in claim 1, it is characterised in that include several test points on described ballastless track boards on p-wire;
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that before the spatial sampling sequence of CA screed, also include:
Obtain the dielectric constant in each test point on described ballastless track boards p-wire, the dielectric constant average of the dielectric constant in each test point described being defined as on described non-fragment orbit on p-wire.
6. a non-fragment orbit CA screed Defect inspection device, it is characterised in that including:
Determine unit, for the thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that the spatial sampling sequence of CA screed;
First acquiring unit, is used for passing through wavelet analysis, it is determined that the initiation sequence of described spatial sampling sequence, obtains the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence;
Reconfiguration unit, for passing through small echo, the scale coefficient of described spatial sampling sequence and the wavelet coefficient of described spatial sampling sequence are filtered, obtain filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence, described filter scale coefficient and described filtering wavelet coefficient are carried out spatial sequence reconstruction, obtains reconstruction sequence;
Second acquisition unit, for according to described reconstruction sequence, obtaining described CA screed disease position.
7. detecting device as claimed in claim 6, it is characterised in that described determine unit specifically for:
The radar signal of described ballastless track boards is carried out space-time analysis, it is determined that described ballastless track boards locus in signal graph and described radar signal transmission time between described ballastless track boards and radar;
Locus in signal graph of thickness according to described ballastless track boards, described ballastless track boards, the described radar signal transmission time between described ballastless track boards and radar and the dielectric constant on described p-wire, it is determined that described CA screed locus in described signal graph and described radar signal transmission time between described CA screed and described radar;
Described p-wire position on described ballastless track boards is determined according to described CA screed locus in described signal graph, according to the transmission time between described CA screed and described radar, determine described radar test interval between each test point on described p-wire, according to described radar test interval between each test point on described p-wire, it is determined that described CA screed spatial sampling sequence in described signal graph.
8. detecting device as claimed in claim 6, it is characterised in that described first acquiring unit specifically for:
With Haar small echo for morther wavelet, described spatial sampling sequence is carried out multilamellar decomposition, it is determined that the initiation sequence of described spatial sampling sequence.
9. detecting device as claimed in claim 6, it is characterised in that described reconfiguration unit specifically for:
Multiresolution analysis according to Mallat small echo, described spatial sampling sequence is carried out multilamellar decomposition on metric space and wavelet space, according to described decomposition result, the wavelet coefficient of described spatial sampling sequence is carried out low-pass filtering, obtains filter scale coefficient and the filtering wavelet coefficient of spatial sampling sequence.
10. detecting device as claimed in claim 6, it is characterised in that include several test points on described ballastless track boards on p-wire;
Described determine that unit is additionally operable to:
Thickness according to the dielectric constant on p-wire on ballastless track boards and described ballastless track boards, it is determined that before the spatial sampling sequence of CA screed, also include:
Obtain the dielectric constant in each test point on described ballastless track boards p-wire, the dielectric constant average of the dielectric constant in each test point described being defined as on described non-fragment orbit on p-wire.
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