CN111648206B - Real-time paving auxiliary monitoring system for asphalt pavement - Google Patents

Real-time paving auxiliary monitoring system for asphalt pavement Download PDF

Info

Publication number
CN111648206B
CN111648206B CN202010318909.7A CN202010318909A CN111648206B CN 111648206 B CN111648206 B CN 111648206B CN 202010318909 A CN202010318909 A CN 202010318909A CN 111648206 B CN111648206 B CN 111648206B
Authority
CN
China
Prior art keywords
echo signal
radar
thickness
module
paving
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010318909.7A
Other languages
Chinese (zh)
Other versions
CN111648206A (en
Inventor
张开宇
王彦炜
宋超
陈永长
张锐敏
郝明锋
兰珊
吴晓俊
周轶群
杨维彬
曲凯元
张帅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CSCEC Road and Bridge Group Co Ltd
Original Assignee
CSCEC Road and Bridge Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CSCEC Road and Bridge Group Co Ltd filed Critical CSCEC Road and Bridge Group Co Ltd
Priority to CN202010318909.7A priority Critical patent/CN111648206B/en
Publication of CN111648206A publication Critical patent/CN111648206A/en
Application granted granted Critical
Publication of CN111648206B publication Critical patent/CN111648206B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C19/00Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
    • E01C19/12Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for distributing granular or liquid materials
    • E01C19/18Devices for distributing road-metals mixed with binders, e.g. cement, bitumen, without consolidating or ironing effect
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs

Landscapes

  • Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention discloses an auxiliary monitoring system for real-time paving of an asphalt pavement, which relates to the field of municipal traffic and comprises the following components: the real-time monitoring module is used for acquiring videos of asphalt paving operation in real time and uploading the videos to the background server; the pre-laying module is used for pre-laying asphalt on the road surface; the laying thickness of the pre-laying operation is an engineering design value; the thickness detection module is used for carrying out thickness inspection on the asphalt pavement which is subjected to real-time pre-paving operation to obtain the pre-paving actual thickness of the asphalt pavement; the paving correction module is used for comparing the difference between the pre-paving actual thickness detected by the thickness detection module and the engineering design value and thinning or thickening the asphalt pavement subjected to real-time pre-paving operation; the invention can effectively measure the thickness of the asphalt pavement in real time, realize the auxiliary monitoring and real-time paving of the asphalt and has high thickness solving accuracy.

Description

Real-time paving auxiliary monitoring system for asphalt pavement
Technical Field
The invention relates to the field of municipal traffic, in particular to an auxiliary monitoring system for real-time paving of an asphalt pavement.
Background
In the early days, the thickness of the road pavement was generally detected by a core drilling and sampling method, which is more conventional. The core drilling and sampling on the road surface not only has certain danger during sampling, but also easily damages the road surface structure after sampling, easily damages the integrity and the aesthetic property of the road surface structure layer, and has great limitation.
The ground penetrating radar is a novel detection device, is gradually valued by people in the actual application of road engineering, and is widely applied. The ground penetrating radar has the working principle that high-frequency electromagnetic waves are transmitted downwards through a road surface, the receiving antenna receives the electromagnetic waves returned to the road surface, the electromagnetic waves penetrate through different medium layers underground, the characteristics of waveform, amplitude change conditions and the like of the electromagnetic waves are received through an electrical property difference to infer the space state and the structural form of the medium, and finally detected data of the thickness of the road surface and the deflection of the road surface are obtained. The ground penetrating radar detects the detected road surface by utilizing the functions of high resolution and high detection speed, such as modern electronic technology, information technology, high-end advanced technology of electromagnetic technology and the like, and is widely applied to many practical projects and achieves good results. The method has the advantages of representing high standards of rapidness, effectiveness and no damage in the detection process of the expressway, and being very suitable for detecting pavement parameters and related track diseases during the construction period and the operation management period of the asphalt expressway.
The reflection coefficient method is a common method for detecting the thickness of a road surface, but in the prior art, the method is often inaccurate in measurement accuracy and needs to be corrected.
In addition, in the prior art, the thickness of the asphalt on the road surface is detected after the construction is completed, so that rework is required again when the laying thickness is not accurate.
Disclosure of Invention
In view of some defects of the prior art, namely, on one hand, the thickness of the asphalt in the prior art is detected after the construction is finished, so that reworking is needed again when the laying thickness is not accurate; on the other hand, when the refraction and reflection of radar emission signals are considered in the process of detecting the road thickness by using the traditional reflection coefficient method, the fact that secondary echo signals which are reflected for multiple times in a road and cause multiple reflections are taken as primary echo signals and substituted into the solution of the reflectivity of a dielectric layer and the measurement of the road surface thickness is not considered, and therefore the overall measurement data are inaccurate; the invention aims to solve the technical problem of providing a device for detecting the paving thickness of an asphalt pavement, and aims to analyze whether a radar echo signal is a primary echo signal or a secondary echo signal, eliminate the secondary echo signal, solve the reflectivity of each medium interface through the primary echo signal and further solve the reflectivity to obtain the accurate pavement thickness.
In order to achieve the above object, the present invention provides an auxiliary monitoring system for real-time paving of an asphalt pavement, the system comprising:
the real-time monitoring module is used for acquiring videos of asphalt paving operation in real time and uploading the videos to the background server;
the pre-laying module is used for pre-laying asphalt on the road surface; the laying thickness of the pre-laying operation is an engineering design value;
the thickness detection module is used for carrying out thickness inspection on the asphalt pavement which is subjected to real-time pre-paving operation to obtain the pre-paving actual thickness of the asphalt pavement;
the paving correction module is used for comparing the difference between the pre-paving actual thickness detected by the thickness detection module and the engineering design value and thinning or thickening the asphalt pavement subjected to real-time pre-paving operation;
thickness detects module includes: the device comprises a radar transmitting and receiving module, an interface reflectivity solving module, a dielectric constant solving module, a dielectric layer thickness solving module and a primary echo signal determining module;
the radar transmitting and receiving module is used for sending a first radar signal to the road surface and collecting each radar echo signal A i And respective radar echo signals A i A reception time period t relative to the first radar signal i (ii) a The initial amplitude of the first radar signal is A 0 (ii) a I is an echo number of the radar echo signal, i =1,2A large value; the radar echo signal A i Including a primary echo signal B j And a secondary echo signal; the primary echo signal B j Transmitting the first radar signal on the asphalt pavement until the first radar signal is reflected on the jth medium interface and directly transmits the radar return signal A of the asphalt pavement i (ii) a Wherein the round-trip period of each of the dielectric layers is T j Said
Figure BDA0002460588190000031
J =1, a., m, which is the current maximum number of the primary echo signal; is/are>
Figure BDA0002460588190000032
For the primary echo signal B j A receive duration relative to the first radar signal; wherein, B 0 =A 1 ,B 1 =A 2 ,T 1 =t 2 -t 1
The interface reflectivity solving module is used for solving the primary echo signal B according to the determined primary echo signal B j Solving the reflectivity R of the jth medium interface j (ii) a Wherein the reflectivity
Figure BDA0002460588190000041
R j Is the reflectivity of the medium interface between the air layer and the road surface, the->
Figure BDA0002460588190000042
The dielectric constant solving module is used for solving the dielectric constant according to the reflectivity R j And dielectric constant epsilon of j-th dielectric layer j And solving the dielectric constant epsilon of the j +1 th dielectric layer j+1 (ii) a Wherein, the
Figure BDA0002460588190000043
ε 0 Is the dielectric constant of the air layer;
the medium layer thickness solving module is used for solving the problem that the round-trip period of the medium layer is T j The dielectric constant epsilon of the j dielectric layer j And solving the layer thickness H of the j-th dielectric layer j (ii) a Wherein the layer is thick
Figure BDA0002460588190000044
C is the speed of light;
the primary echo signal determining module is used for acquiring the radar echo signal A which is not determined to be the primary echo signal i Judging the radar echo signal A i Whether or not to match each of the determined primary echo signals B j If the two-time echo signals are matched, solving the estimated value of the two-time echo, and obtaining the radar echo signal A i The difference value of the secondary echo estimated value is used as a new primary echo signal B j+1
According to the technical scheme, asphalt is pre-paved, then the thickness of the asphalt is detected, and the asphalt pavement is thinned and thickened according to the thickness condition of the asphalt, so that the real-time paving of the asphalt pavement is realized, and the accuracy of the asphalt paving thickness is improved; in the technical scheme, the thickness of the road surface is solved by adopting an improved reflection coefficient method, and the accuracy is higher compared with the prior art; judging whether the radar echo signal is a secondary echo signal formed by the known round-trip reflection of a primary echo signal in the medium layer or not in terms of time according to the round-trip period of each medium layer, further estimating whether the numerical values of the secondary echo signal are matched or not, and deducting the estimated numerical value of the secondary echo signal from the radar signal to obtain a corresponding primary echo signal when the radar echo signal is not matched with the secondary echo signal; on the whole, the influence of the secondary echo signal on the pavement thickness detection can be eliminated by adopting an improved reflection coefficient method, and the pavement detection precision is improved.
In a specific embodiment, the primary echo signal determination module includes:
a time matching judgment unit for obtaining the radar echo signal A which is not determined to be the primary echo signal i From each determined primary echo signal B j And said round trip period T j Judgment ofWhether or not to exist
Figure BDA0002460588190000051
Such that the radar echo signal A i Is received for a time period t i Can satisfy the following conditions:
Figure BDA0002460588190000052
wherein said->
Figure BDA0002460588190000053
Said K (x,j) Representing the radar echo signal A i The number of round-trip reflections in the dielectric layer of the j-th layer; the { K (x,1) ,...,K (x,j) ,...,K (x,m) Each item of the is a non-negative integer and at least one item is a positive integer;
a first determination unit for determining whether the first determination unit is a first determination unit
Figure BDA0002460588190000054
If not, increasing the radar echo signal A which is not determined to be the primary echo signal i Is a primary echo signal B j+1 Determining said primary echo signal B j+1 Based on the reception time length of the first radar signal>
Figure BDA0002460588190000055
Determining a round trip period of the media layer of the j +1 th layer
Figure BDA0002460588190000056
A secondary echo estimation unit for estimating the echo of the echo signal
Figure BDA0002460588190000057
If so, acquiring the data satisfying the
Figure BDA0002460588190000061
Is/are>
Figure BDA0002460588190000062
At one time correspondinglyEcho signal B x Solving for a quadratic echo estimate->
Figure BDA0002460588190000063
A second decision unit for responding to the radar echo signal A i And is as described above
Figure BDA0002460588190000064
Matching, then the radar echo signal A i Is the secondary echo signal, otherwise, the primary echo signal is increased>
Figure BDA0002460588190000065
Determining the primary echo signal B j+1 Based on the reception time length of the first radar signal>
Figure BDA0002460588190000066
Determining a round trip period ∑ of the medium layer of layer j +1>
Figure BDA0002460588190000067
Wherein said->
Figure BDA0002460588190000068
Is/are>
Figure BDA0002460588190000069
In one embodiment, if there are multiple sets
Figure BDA00024605881900000610
So that t is i Satisfies the following conditions:
Figure BDA00024605881900000611
the quadratic echo estimate->
Figure BDA00024605881900000612
Are in groups>
Figure BDA00024605881900000613
Warp beam
Figure BDA00024605881900000614
And (4) summing the operations. />
In one embodiment, the radar echo signal A i And is as described above
Figure BDA00024605881900000615
The matching means that: the described
Figure BDA00024605881900000616
Alpha is more than or equal to 1 and less than or equal to 1.05.
In one embodiment, the thickness detection module further includes:
a section thickness structure generation module for generating a section thickness structure according to the layer thickness H of each dielectric layer j And generating a section thickness structure of the asphalt pavement.
In a specific embodiment, the thickness detection module is further configured to detect a thickness H of each of the dielectric layers according to a thickness of the dielectric layer j Dielectric constant ε j And the preset range of the asphalt pavement is obtained, and the thickness of the asphalt pavement is obtained.
The invention has the beneficial effects that: 1) Firstly, pre-paving asphalt, then detecting the thickness of the asphalt, and thinning and thickening the asphalt pavement according to the thickness condition of the asphalt, so that the real-time paving of the asphalt pavement is realized, and the accuracy of the asphalt paving thickness is improved; 2) The thickness of the pavement is solved by adopting an improved reflection coefficient method, and the accuracy is higher compared with the prior art; judging whether the radar echo signal is a secondary echo signal formed by the known round-trip reflection of a primary echo signal in the medium layer or not in time according to the round-trip period of each medium layer, further estimating whether the numerical values of the secondary echo signal are matched or not, and deducting the estimated numerical value of the secondary echo signal from the radar signal to obtain a corresponding primary echo signal when the radar echo signal is not matched; on the whole, the influence of the secondary echo signal on the pavement thickness detection can be eliminated by adopting an improved reflection coefficient method, and the pavement detection precision is improved.
Drawings
Fig. 1 is a system block diagram of an auxiliary monitoring system for real-time paving of an asphalt pavement according to an embodiment of the present invention;
fig. 2 is a block diagram of a primary echo signal determining module of a real-time paving auxiliary monitoring system for an asphalt pavement, according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a real-time paving auxiliary monitoring system for an asphalt pavement according to an embodiment of the present invention;
fig. 4 is a flowchart of asphalt thickness detection of an asphalt pavement real-time paving auxiliary monitoring system according to an embodiment of the present invention;
fig. 5 is a diagram of a radar propagation path of a real-time paving auxiliary monitoring system for an asphalt pavement according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating an exemplary multi-modal listing of homogeneous secondary echo signals in accordance with one embodiment of the present invention;
fig. 7 is another radar propagation path diagram of a real-time paving auxiliary monitoring system for an asphalt pavement according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
in the actual asphalt pavement thickness detection process, a reflection coefficient method is often adopted to solve the emissivity, the dielectric constant and the pavement thickness of the pavement layer by layer; however, in this process, the reflection and refraction of different layers have a superposition effect, and an invisible reflection signal may be reflected multiple times in one medium layer, so that multiple secondary echoes are doped in the radar echo, and in the solving process, the secondary echo signals are solved as primary echo signals, so that the number of layers of the road surface is increased intangibly in the actual solving process, and the solving result has errors or errors.
It is worth mentioning that, in the present invention, the radar signal is reflected once at the bottom layer, and enters and exits twice at each layer, and the signal received as radar echo is called a primary echo signal; and the radar echo which is reflected for many times in the medium layer of the road surface is a secondary echo signal.
Therefore, in the invention, the primary echo signal with higher purity is obtained by removing and deducting the secondary echo signal, so that the obtained road surface thickness information is more accurate.
As shown in fig. 1 to 7, in a first embodiment of the present invention, an auxiliary monitoring system for real-time paving of an asphalt pavement is provided, including:
the real-time monitoring module 100 is used for acquiring videos of asphalt paving operation in real time and uploading the videos to the background server;
the pre-paving module 200 is used for pre-paving asphalt on a road surface; the laying thickness of the pre-laying operation is an engineering design value;
the thickness detection module 300 is used for performing thickness inspection on the asphalt pavement subjected to real-time pre-paving operation to obtain the pre-paving actual thickness of the asphalt pavement;
the paving correction module 400 is used for comparing the difference between the pre-paving actual thickness detected by the thickness detection module 300 and the engineering design value, and thinning or thickening the asphalt pavement which is subjected to real-time pre-paving operation;
the thickness detection module 300 includes: the system comprises a radar transmitting and receiving module 310, an interface reflectivity solving module 320, a dielectric constant solving module 330, a dielectric layer thickness solving module 340 and a primary echo signal determining module 350;
the radar transmitting and receiving module 310 is configured to send a first radar signal to a road surface and collect each radar echo signal a i And respective radar echo signals A i A reception duration t relative to the first radar signal i (ii) a The initial amplitude of the first radar signal is A 0 (ii) a The i is an echo number of the radar echo signal, the i =1,2,.., n, and the n is a current maximum value of the echo number; the radar echo signal A i Involving an echoSignal B j And a secondary echo signal; the primary echo signal B j Transmitting the first radar signal on the asphalt pavement until the first radar signal is reflected on a jth medium interface and directly transmits the radar return signal A of the asphalt pavement i (ii) a Wherein the round-trip period of each of the dielectric layers is T j Said
Figure BDA0002460588190000091
J =1,.. Multidot.m, which is the current maximum number of the primary echo signal; is/are>
Figure BDA0002460588190000101
For said primary echo signal B j A receive duration relative to the first radar signal; wherein, B 0 =A 1 ,B 1 =A 2 ,T 1 =t 2 -t 1
The interface reflectivity solving module 320 is used for solving the primary echo signal B according to the determined primary echo signal B j Solving the reflectivity R of the jth medium interface j (ii) a Wherein the reflectivity
Figure BDA0002460588190000102
R j Is the reflectivity of the medium interface between the air layer and the road surface, the->
Figure BDA0002460588190000103
The dielectric constant solving module 330 is used for solving the dielectric constant according to the reflectivity R j And dielectric constant epsilon of j-th dielectric layer j And solving the dielectric constant epsilon of the j +1 th dielectric layer j+1 (ii) a Wherein, the
Figure BDA0002460588190000104
ε 0 Is the dielectric constant of the air layer;
the dielectric layer thickness solving module 340 is configured to solve the round trip period of the dielectric layer as T j The dielectric constant epsilon of the j dielectric layer j And solving the layer thickness H of the j-th dielectric layer j (ii) a Wherein the layer is thick
Figure BDA0002460588190000105
C is the speed of light;
the primary echo signal determining module 350 is configured to obtain the radar echo signal a that is not determined to be the primary echo signal i Judging the radar echo signal A i Whether or not to match each of the determined primary echo signals B j If the two-time echo signals are matched, solving the estimated value of the two-time echo, and obtaining the radar echo signal A i The difference value of the secondary echo estimated value is used as a new primary echo signal B j+1
In this embodiment, the primary echo signal determining module 350 includes:
a time matching judgment unit 351 for acquiring the radar echo signal A that is not determined to be the primary echo signal i From each determined primary echo signal B j And said round trip period T j Determine whether there is
Figure BDA0002460588190000111
Such that the radar echo signal A i Is received for a time period t i Can satisfy the following conditions:
Figure BDA0002460588190000112
wherein said->
Figure BDA0002460588190000113
Said K (x,j) Representing the radar echo signal A i The number of round-trip reflections in the dielectric layer of the jth layer; the { K (x,1) ,...,K (x,j) ,...,K (x,m) Each item of the is a non-negative integer and at least one item is a positive integer;
a first decision unit 352 for deciding whether the above
Figure BDA0002460588190000114
If not, increasing the radar echo signal A which is not determined to be the primary echo signal i Is a primary echo signal B j+1 Determining said primary echo signal B j+1 Based on the reception time length of the first radar signal>
Figure BDA0002460588190000115
Determining a round trip period of the dielectric layer of the (j + 1) th layer
Figure BDA0002460588190000116
A secondary echo estimation unit 353 for estimating the secondary echo
Figure BDA0002460588190000117
If so, acquiring the data satisfying the
Figure BDA0002460588190000118
Is/are>
Figure BDA0002460588190000119
Corresponding primary echo signal B x Solving for a quadratic echo estimate->
Figure BDA00024605881900001110
A second decision unit 354 for responding to the radar echo signal A i And the above-mentioned
Figure BDA00024605881900001111
Matching, then the radar echo signal A i Is the secondary echo signal, otherwise, the primary echo signal is increased>
Figure BDA0002460588190000121
Determining the primary echo signal B j+1 Based on the reception time length of the first radar signal>
Figure BDA0002460588190000122
Determining the j +1 th layerThe round-trip period of the medium layer->
Figure BDA0002460588190000123
Wherein, said +>
Figure BDA0002460588190000124
Is/are>
Figure BDA0002460588190000125
/>
In this embodiment, if there are multiple sets
Figure BDA0002460588190000126
So that t is i Satisfies the following conditions:
Figure BDA0002460588190000127
the quadratic echo estimate->
Figure BDA0002460588190000128
Is a plurality of groups>
Figure BDA0002460588190000129
Warp beam
Figure BDA00024605881900001210
And (4) summing the operations.
In the present embodiment, the radar echo signal a i And the above-mentioned
Figure BDA00024605881900001211
The matching means that: the above-mentioned
Figure BDA00024605881900001212
Alpha is more than or equal to 1 and less than or equal to 1.05.
In this embodiment, the thickness detection module 300 further includes:
a section thickness structure generation module 360 for generating a section thickness structure according to the layer thickness H of each of the dielectric layers j And generating a section thickness structure of the asphalt pavement.
In the present embodiment, it is preferred that,the thickness detection module 300 is further configured to detect a thickness H of each of the dielectric layers j Dielectric constant ε j And the preset range of the asphalt pavement, and obtaining the thickness of the asphalt pavement.
In the present embodiment, the thickness H of each dielectric layer is determined according to the thickness of the dielectric layer j Dielectric constant ε j And the preset range of the asphalt pavement is obtained, and the thickness of the asphalt pavement is obtained.
It should be noted that, in the figure, for the sake of simplicity, the lines are avoided from being disordered, the angle relationship between the incident angle and the refraction angle is not considered, and the line segment where the incident angle and the refraction angle are located is directly represented by a straight line; in practical application, the detection radar is approximately vertical incidence, and the angle difference between the incident angle and the refraction angle is small and can be approximately ignored; in addition, if the incident ray is directly perpendicular to the road surface, the reflected ray and the incident ray are directly overlapped, so that the explanation of the application is inconvenient, and the explanation is made by oblique incidence.
As shown in FIG. 5, the current radar return signals have 10 groups of data (A) 1 -A 10 ) Wherein A is 1 、A 2 、A 4 、A 7 Are primary echo signals, respectively denoted as B 0 、B 1 、B 2 、B 3 ;A 3 、A 5 、A 8 、A 9 Is B 1 The secondary echo of (2); a. The 6 Is B 1 、B 2 A superimposed secondary echo; a. The 10 Is B 2 The secondary echo of (2).
The following is a derivation description of the correlation formula in the present invention.
As in fig. 5, from the optical properties:
Figure BDA0002460588190000131
i.e. B 0 =A 0 R 0
In the same way, A 0 (1-R 0 )R 1 (1+R 0 )=B 1
A 0 (1-R 0 )(1-R 1 )R 2 (1+R 0 )(1+R 1 )=B 2
Recursion can give: reflectivity of light
Figure BDA0002460588190000132
For the formula
Figure BDA0002460588190000133
In terms of physical meaning: echo signal A i Is received at time t i With the previous primary echo signal B x Whether the time difference between is the round trip period T j Integral multiple of (A), if so, echo signal A i Possibly a secondary echo signal; />
At the moment, it is necessary to pass
Figure BDA0002460588190000134
To judge the echo signal A i If the amplitude is equal to the amplitude, the echo signal A is obtained i The two signals are pure secondary echo signals, and when the two signals are not equal, the two signals only differ into primary echo signals.
Wherein the content of the first and second substances,
Figure BDA0002460588190000141
in the case of practice, when: />
Figure BDA0002460588190000142
Then means A i Twice more in the first layer, once more in the second layer, and once more in the third layer;
Figure BDA0002460588190000143
as its 12 cases are given in fig. 6; at this time, the echo components in 12 are actually homologous (same as B) x ) (ii) a While in other cases the echo signals may not be homologous, as in the case given in figure 7, a 4 The corresponding echo estimate->
Figure BDA0002460588190000144
The two partial quantities need to be solved in superposition, i.e. be solved for>
Figure BDA0002460588190000145
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.

Claims (5)

1. The utility model provides a real-time supplementary monitoring system that paves of bituminous paving which characterized in that, the system includes:
the real-time monitoring module is used for acquiring videos of asphalt paving operation in real time and uploading the videos to the background server;
the pre-laying module is used for pre-laying asphalt on the road surface; the laying thickness of the pre-laying operation is an engineering design value;
the thickness detection module is used for carrying out thickness inspection on the asphalt pavement which is subjected to real-time pre-paving operation to obtain the pre-paving actual thickness of the asphalt pavement;
the paving correction module is used for comparing the difference between the pre-paving actual thickness detected by the thickness detection module and the engineering design value and thinning or thickening the asphalt pavement subjected to real-time pre-paving operation;
thickness detection module includes: the device comprises a radar transmitting and receiving module, an interface reflectivity solving module, a dielectric constant solving module, a dielectric layer thickness solving module and a primary echo signal determining module;
the radar transmitting and receiving module is used for sending a first radar signal to a road surface and collecting each radar echo signal A i And respective radar echo signals A i A reception time period t relative to the first radar signal i (ii) a The first radar signalHas an initial amplitude of A 0 (ii) a The i is an echo number of the radar echo signal, the i =1,2,.., n, and the n is a current maximum value of the echo number; the radar echo signal A i Including a primary echo signal B j And a secondary echo signal; the primary echo signal B j Transmitting the first radar signal on the asphalt pavement until the first radar signal is reflected on a jth medium interface and directly transmits the radar return signal A of the asphalt pavement i (ii) a Wherein the round-trip period of each of the dielectric layers is T j Said
Figure FDA0003891154760000011
J =1,.. Multidot.m, which is the current maximum number of the primary echo signal; the above-mentioned
Figure FDA0003891154760000012
For the primary echo signal B j A receive duration relative to the first radar signal; wherein, B 0 =A 1 ,B 1 =A 2 ,T 1 =t 2 -t 1
The interface reflectivity solving module is used for solving the primary echo signal B according to the determined primary echo signal B j Solving the reflectivity R of the jth medium interface j (ii) a Wherein the reflectivity
Figure FDA0003891154760000021
R j Is the reflectivity of the medium interface between the air layer and the road surface
Figure FDA0003891154760000022
The dielectric constant solving module is used for solving the dielectric constant according to the reflectivity R j And dielectric constant epsilon of j-th dielectric layer j And solving the dielectric constant epsilon of the j +1 th dielectric layer j+1 (ii) a Wherein, the
Figure FDA0003891154760000023
ε 0 Is the dielectric constant of the air layer;
the medium layer thickness solving module is used for solving the problem that the round-trip period of the medium layer is T j The dielectric constant epsilon of the j dielectric layer j And solving the layer thickness H of the j-th dielectric layer j (ii) a Wherein the layer is thick
Figure FDA0003891154760000024
C is the speed of light;
the primary echo signal determining module is used for acquiring the radar echo signal A which is not determined to be the primary echo signal i Judging the radar echo signal A i Whether or not to match each of the determined primary echo signals B j If the two-time echo signals are matched, solving the estimated value of the two-time echo, and obtaining the radar echo signal A i The difference value of the secondary echo estimated value is used as a new primary echo signal B j+1
The primary echo signal determination module includes:
a time matching judgment unit for obtaining the radar echo signal A which is not determined to be the primary echo signal i From each determined primary echo signal B j And said round trip period T j Determine whether there is
Figure FDA0003891154760000025
Such that the radar echo signal A i Is received for a time period t i Can satisfy the following conditions:
Figure FDA0003891154760000026
wherein, the
Figure FDA0003891154760000027
Said K is (x,j) Representing the radar echo signal A i The number of round-trip reflections in the dielectric layer of the jth layer; the { K } (x,1) ,...,K (x,j) ,...,K (x,m) Each item of the is a non-negative integer and at least one item is a positive integer;
a first determination unit for determining whether the first determination unit is a power supply
Figure FDA0003891154760000031
If not, increasing the radar echo signal A which is not determined to be the primary echo signal i Is a primary echo signal B j+1 Determining said primary echo signal B j+1 A receive duration relative to the first radar signal
Figure FDA0003891154760000032
Determining a round trip period of the dielectric layer of the (j + 1) th layer
Figure FDA0003891154760000033
A secondary echo estimation unit for estimating the echo of the echo signal
Figure FDA0003891154760000034
If so, obtaining the data satisfying
Figure FDA0003891154760000035
Is/are as follows
Figure FDA0003891154760000036
Corresponding primary echo signal B x Solving the secondary echo estimation value
Figure FDA0003891154760000037
A second decision unit for responding to the radar echo signal A i And is as described above
Figure FDA0003891154760000038
Matching, then the radar echo signal A i Adding a primary echo signal for the secondary echo signal, otherwise
Figure FDA0003891154760000039
Determining the primary echo signal B j+1 A receive duration relative to the first radar signal
Figure FDA00038911547600000310
Determining a round trip period of the dielectric layer of the (j + 1) th layer
Figure FDA00038911547600000311
Wherein, the
Figure FDA00038911547600000312
The above-mentioned
Figure FDA00038911547600000313
2. The system of claim 1, wherein if there are multiple sets of auxiliary asphalt pavement paving monitoring systems
Figure FDA00038911547600000314
So that t is i Satisfies the following conditions:
Figure FDA00038911547600000315
the secondary echo estimation value
Figure FDA00038911547600000316
Is a plurality of groups
Figure FDA00038911547600000317
Warp beam
Figure FDA0003891154760000041
And (4) summing the operations.
3. The system of claim 1, wherein the system is used for monitoring paving of asphalt pavement in real timeSaid radar echo signal A i And the above-mentioned
Figure FDA0003891154760000042
The matching means that: the described
Figure FDA0003891154760000043
Alpha is more than or equal to 1 and less than or equal to 1.05.
4. The system as claimed in claim 1, wherein the thickness detection module further comprises:
a section thickness structure generation module for generating a section thickness structure according to the layer thickness H of each dielectric layer j And generating a section thickness structure of the asphalt pavement.
5. The system as claimed in claim 1, wherein the thickness detection module is further configured to detect a thickness H of each of the medium layers according to the real-time paving status of the asphalt pavement j Dielectric constant ε j And the preset range of the asphalt pavement is obtained, and the thickness of the asphalt pavement is obtained.
CN202010318909.7A 2020-04-21 2020-04-21 Real-time paving auxiliary monitoring system for asphalt pavement Active CN111648206B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010318909.7A CN111648206B (en) 2020-04-21 2020-04-21 Real-time paving auxiliary monitoring system for asphalt pavement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010318909.7A CN111648206B (en) 2020-04-21 2020-04-21 Real-time paving auxiliary monitoring system for asphalt pavement

Publications (2)

Publication Number Publication Date
CN111648206A CN111648206A (en) 2020-09-11
CN111648206B true CN111648206B (en) 2023-03-24

Family

ID=72342219

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010318909.7A Active CN111648206B (en) 2020-04-21 2020-04-21 Real-time paving auxiliary monitoring system for asphalt pavement

Country Status (1)

Country Link
CN (1) CN111648206B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116166839B (en) * 2023-03-01 2023-09-12 广州广检建设工程检测中心有限公司 Core drilling process supervision system, method, medium and computer

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103290767B (en) * 2013-06-24 2015-07-08 广东惠利普路桥信息工程有限公司 Ground penetrating radar-based highway construction quality detection system
CN104133212A (en) * 2014-07-09 2014-11-05 中国电子科技集团公司第二十二研究所 Radar device and method used for real-time detection of road structure layer thickness
CN106868997A (en) * 2017-02-14 2017-06-20 北京市道路工程质量监督站 A kind of bituminous paving isolates detection method and device
CN106970380A (en) * 2017-02-22 2017-07-21 北京市道路工程质量监督站 The Laminate construction thickness detection means of bituminous paving
CN109235204A (en) * 2018-09-29 2019-01-18 徐工集团工程机械股份有限公司 Paving thickness monitor control system, paver and method based on Radar Technology

Also Published As

Publication number Publication date
CN111648206A (en) 2020-09-11

Similar Documents

Publication Publication Date Title
Lahouar et al. Automatic detection of multiple pavement layers from GPR data
CN108981557B (en) Detection method for simultaneously measuring diameter of steel bar in concrete and thickness of protective layer of steel bar
CN109143196B (en) Three-point parameter estimation method based on K-distribution sea clutter amplitude model
CN106338727A (en) Target detection method of auxiliary vehicle driving radar
CN107621591B (en) A kind of transmission line of electricity iteration distance measuring method based on zero mould traveling wave speed variation characteristic
CN111751392B (en) Steel bar corrosion detection method based on dual-polarization ground penetrating radar
CN103777178B (en) A kind of synchronous error compensation method, equipment and system
CN103884963A (en) Distribution network fault distance measurement method based on fault transient state traveling wave zero-mode and aerial-mode speed difference
CN111648206B (en) Real-time paving auxiliary monitoring system for asphalt pavement
CN114235962B (en) Anisotropic structure-oriented ultrasonic guided wave imaging method and system
CN111521136B (en) Reinforced concrete structure crack depth detection method and detection device based on horizontal shear wave
CN110488241A (en) A kind of laser radar multiple echo information extraction element and method
Le Bastard et al. A linear prediction and support vector regression-based debonding detection method using step-frequency ground penetrating radar
CN106501285A (en) The equipment of the mud jacking degree of compaction of Non-Destructive Testing prestress pipe and detection method
CN210141850U (en) Concrete thickness detection device based on impact elastic wave
CN111239720B (en) Vehicle speed measuring method and device, computer equipment and storage medium
CN102313858B (en) Method for identifying traveling wave in initial reversed polarity direction
TWI306512B (en)
CN108120975A (en) Radar velocity measurement distance measuring method based on trapezoidal continuous wave
Li et al. Non-destructive survey of pavement layer thicknesses with ground penetrating radar
CN101650171B (en) Real-time monitoring method and real-time monitoring system for thickness of probe coupling layer with automatic flaw detection by steel-plate ultrasound
CN116953087A (en) Intelligent detection method for bridge segment assembly construction quality
CN106443674A (en) Ground penetrating radar wave velocity estimation method based on diffraction, imaging and minimum entropy technology
CN113687192B (en) Method for collecting and positioning discharge signal of power transmission line
CN111624595A (en) Method for detecting paving thickness of asphalt pavement

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant