CN110230247B - Road structural defect detection device and method based on laser Doppler technology - Google Patents
Road structural defect detection device and method based on laser Doppler technology Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 47
- 238000005516 engineering process Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims abstract description 12
- 230000007847 structural defect Effects 0.000 title description 2
- 201000010099 disease Diseases 0.000 claims abstract description 29
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 29
- 230000001133 acceleration Effects 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 4
- 239000013307 optical fiber Substances 0.000 claims description 12
- 230000001360 synchronised effect Effects 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 238000004062 sedimentation Methods 0.000 claims description 3
- 239000000835 fiber Substances 0.000 abstract description 2
- 238000006073 displacement reaction Methods 0.000 abstract 1
- 239000010410 layer Substances 0.000 description 5
- 239000002346 layers by function Substances 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
- E01C23/01—Devices 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
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Abstract
The invention discloses a road structural disease detection device and method based on a laser Doppler technology.A laser Doppler velocimeter and a fiber optic gyroscope are respectively and fixedly arranged on a mounting bracket, and the parallelism between the laser Doppler velocimeters is respectively measured and calibrated; an encoder mounting bracket and an incremental encoder are mounted on a rear wheel hub of the bearing platform; a laser displacement sensor, an acceleration sensor and an infrared temperature measuring sensor are respectively arranged on the rear wheel shaft; the mounting bracket is fixedly mounted on the side plate of the bearing platform, and the laser Doppler velocimeter is aligned to the position right below the axle center of the rear axle; the power supply device is turned on to warm up for 30 minutes and then starts detection. By collecting and recording the pavement settlement speed and other auxiliary data. The invention can rapidly detect structural diseases of semi-rigid base roads in each period, achieves the purpose of early detection and processing, and is suitable for semi-rigid base roads such as expressways, grade roads, municipal roads and the like.
Description
Technical Field
The invention belongs to the technical field of optical detection, and particularly relates to a road structural disease detection device and method based on a laser Doppler technology.
Background
As a single-sided composite structure, a road is generally composed of a plurality of functional layers, such as a bearing layer, a water-stable layer, an abrasion layer, etc., and each functional layer is easily subjected to structural damage, such as bearing layer fracture, water permeability, structural discontinuity, pavement damage, etc., under the inducement of water immersion, temperature shrinkage, subgrade settlement, etc. Particularly, when structural diseases exist in all functional layers of a road, the diseases can quickly spread and develop into apparent diseases, and further the traffic comfort and the safety are influenced. Meanwhile, when road structural diseases develop into apparent diseases, the treatment cost of the diseases is greatly increased, and the diseases are difficult to be cured radically. Therefore, with the increasing emphasis on preventive maintenance techniques for many years, methods and devices for rapidly and nondestructively detecting early structural road diseases have been sought.
In view of the above situation, with the development of non-destructive testing technology in recent years, some corresponding testing devices have come up, such as: a structural continuity detector, a 3D radar and other detection devices. The structure continuity detector continuously knocks the pavement through the exciting device at a fixed frequency and judges the void of the pavement structure by collecting and analyzing pavement echo signals, and although a certain effect is achieved in application, the detection speed is low, the echo signals have multiple components, the interpretation difficulty is high, the detection of the component of the defect is single, and the detection speed is low, so that most of the application range of the defect is limited. With the continuous development of radar technology, 3D radar technology also gradually moves to the field of road detection. The 3D radar detects roads by a plurality of transmitting and receiving antennas and by adopting different frequencies. However, the 3D radar technology is still limited by factors such as radar wavelength, power, detection accuracy, and detection speed efficiency, and its application is not widely accepted by detection units and owners.
Disclosure of Invention
In order to more effectively detect the road structural damage, the invention provides a road structural damage detection device and method based on a laser Doppler technology, which are used for rapidly detecting the breakage and the vacancy of a road structural layer and roughly judging the road bearing capacity.
The invention adopts the following technical scheme for solving the technical problems:
the road structure disease detection device based on the laser Doppler technology is characterized by comprising a road settlement speed detection device, a dynamic load detection device and a distance measurement device;
the road settlement speed detection device mainly comprises laser Doppler velocimeters, optical fiber gyroscopes, velocimeter controllers, digital signal synchronous collectors, industrial personal computers and mounting supports, wherein three laser Doppler velocimeters are sequentially mounted and fixed on the mounting supports at equal intervals along the vehicle running direction, the optical fiber gyroscopes are arranged on the mounting supports between adjacent laser Doppler velocimeters, the mounting supports are fixedly mounted on side plates of a bearing platform, the laser Doppler velocimeters in the middle of the mounting supports are aligned to the positions right below the axes of rear wheel shafts, the laser Doppler velocimeters are respectively connected to the velocimeter controllers through special cables, the velocimeter controllers and the optical fiber gyroscopes are respectively connected to the digital signal synchronous collectors through cables, and the digital signal synchronous collectors transmit collected data to the industrial personal computers for storage and analysis;
the dynamic load detection device mainly comprises a laser range finder, an acceleration sensor and an infrared temperature detector, wherein the laser range finder is used for detecting the real-time distance between the bearing shaft and the road surface and calculating the real-time load applied to the road surface according to the distance, and the infrared temperature detector is used for detecting the tire temperature change in real time and correcting the load applied to the road surface in real time; correcting the load applied to the road surface in real time by using the data of the acceleration sensor;
the distance measuring device mainly comprises an incremental encoder, a counter card and an encoder mounting frame, wherein the incremental encoder is mounted on the hub through the encoder mounting frame and collects distance information through the counter card, and the collected distance information is corrected in real time through laser distance measuring instrument data.
The invention relates to a road structure disease detection method based on a laser Doppler technology, which is characterized by comprising the following specific steps:
(1) the road structure disease detection device based on the laser Doppler technology is connected with a power supply to be preheated for 30 minutes and then starts to detect, and Doppler data V measured at the position where the second laser Doppler velocimeter is located2By the speed component V of the vehicle during its travelV2And a velocity component V due to the pitching during the running of the vehicleA2The second laser Doppler velocimeter is positioned at a combined position of road surface pressure application and release, so that the sedimentation velocity is 0 and V2=VV2+VA2;
(2) Doppler data V measured by the position of the first laser Doppler velocimeter1Except for including a vehicle speed component V generated during the running of the vehicleV1And a velocity component V due to the pitching during the running of the vehicleA1In addition, the vehicle also comprises a velocity component V generated by the pitching motion of the vehicleY1So that the settlement velocity due to the road surface load is VC1=V1-V2-VY1Since the angular velocity measured by the optical fiber gyro is VGThe distance between the first laser Doppler velocimeter and the second laser Doppler velocimeter is L, so VY1=2πLVGIs then VC1=V1-V2-VGL; the settlement velocity V measured by the position of the third laser Doppler velocimeter can be calculated in the same wayC3=V3-V2+VG*L;
(3) V determined from the calculationC1And VC3The data curve accurately judges the road structural diseases when the road structural diseases are VC1And VC3When the absolute value is simultaneously increased, the initial identification is caused by the discontinuity of the road structure; when V isC1Increase and VC3The initial identification of the absolute value reduction is caused by road structural cracks or reflection cracks; when V isC1Increase and VC3The basically unchanged road is preliminarily determined to be caused by insufficient bearing capacity of the road subgrade, so that the structural diseases of semi-rigid base roads in each period are rapidly detected, the purposes of early detection and early treatment are achieved,the method is suitable for preliminary detection of semi-rigid base roads.
The invention can rapidly detect structural diseases of semi-rigid base roads in each period, achieves the purpose of early detection and processing, and is suitable for semi-rigid base roads such as expressways, grade roads, municipal roads and the like.
Drawings
FIG. 1 is a schematic structural diagram of a road structural disease detection device based on laser Doppler technology in the present invention;
FIG. 2 is a schematic view of the structure at the hub of FIG. 1;
fig. 3 is a block diagram of the invention.
In the figure: 1-a first laser Doppler velocimeter, 2-a second laser Doppler velocimeter, 3-a third laser Doppler velocimeter, 4-a fiber optic gyroscope, 5-a mounting bracket, 6-a coder mounting rack, 7-a hub, 8-an incremental encoder, 9-a laser range finder, 10-an acceleration sensor, and 11-an infrared thermometer.
Detailed Description
The technical solution in the specific implementation process of the present invention will be clearly and completely described below with reference to the accompanying drawings.
The road structure disease detection device based on the laser Doppler technology comprises a road settlement speed detection device, a dynamic load detection device and a distance measurement device;
the road settlement speed detection device mainly comprises laser Doppler velocimeters (1, 2 and 3), an optical fiber gyroscope 4, a velocimeter controller, a digital signal synchronous acquisition instrument, an industrial personal computer and a mounting bracket, wherein three laser Doppler velocimeters are sequentially installed and fixed on a mounting bracket 5 at equal intervals along the running direction of the vehicle, an optical fiber gyroscope 4 is arranged on the mounting bracket 5 between adjacent laser Doppler velocimeters, the mounting bracket 5 is fixedly installed on a side plate of a bearing platform, the laser Doppler velocimeter in the middle of the mounting bracket 5 is aligned with the right lower part of the axle center of the rear axle, the laser Doppler velocimeter is respectively connected to a velocimeter controller through a special cable, the velocimeter controller and the optical fiber gyroscope are respectively connected to a digital signal synchronous acquisition instrument through cables, and the digital signal synchronous acquisition instrument transmits acquired data to an industrial personal computer for storage and analysis;
the dynamic load detection device mainly comprises a laser range finder 9, an acceleration sensor 10 and an infrared temperature detector 11, wherein the laser range finder 9 is used for detecting the real-time distance between a bearing shaft and the road surface and calculating the real-time load applied to the road surface according to the distance, and the infrared temperature detector 11 is used for detecting the tire temperature change in real time and correcting the load applied to the road surface in real time; the acceleration sensor 10 data corrects the load applied to the road surface in real time;
the distance measuring device mainly comprises an incremental encoder 8, a counter card and an encoder mounting frame 6, wherein the incremental encoder 8 is mounted on a hub 7 through the encoder mounting frame 6 and collects distance information through the counter card, and the collected distance information is corrected in real time through laser distance measuring instrument data.
The specific detection process is as follows:
(1) after the device is powered on and preheated for 30 minutes, the detection is started, and the Doppler data V measured by the position where the second laser Doppler velocimeter 2 is located2By the speed component V of the vehicle during its travelV2And a velocity component V due to the pitching during the running of the vehicleA2The second laser Doppler velocimeter 2 is positioned at a road surface pressure and release combined position, so that the sedimentation velocity is 0 and V2=VV2+VA2;
(2) Doppler data V measured by the position of the first laser Doppler velocimeter 11Except for including a vehicle speed component V generated during the running of the vehicleV1And a velocity component V due to the pitching during the running of the vehicleA1In addition, the vehicle also comprises a velocity component V generated by the pitching motion of the vehicleY1So that the settlement velocity due to the road surface load is VC1=V1-V2-VY1Since the angular velocity measured by the optical fiber gyro 4 is VGThe distance between the first laser Doppler velocimeter 1 and the second laser Doppler velocimeter 2 is L, so VY1=2πLVGIs then VC1=V1-V2-VGL; the settlement velocity V measured by the position of the third laser Doppler velocimeter 3 can be calculated in the same wayC3=V3-V2+VG*L;
(3) V determined from the calculationC1And VC3The data curve accurately judges the road structural diseases when the road structural diseases are VC1And VC3When the absolute value is simultaneously increased, the initial identification is caused by the discontinuity of the road structure; when V isC1Increase and VC3The initial identification of the absolute value reduction is caused by road structural cracks or reflection cracks; when V isC1Increase and VC3The initial determination is that the basic invariance is caused by insufficient bearing capacity of the road subgrade, the rapid detection of structural diseases of semi-rigid base roads in each period is finally realized, the purpose of early detection and early processing is achieved, and the method is suitable for the initial detection of the semi-rigid base roads.
The foregoing embodiments illustrate the principles, principal features and advantages of the invention, and it will be understood by those skilled in the art that the invention is not limited to the foregoing embodiments, which are merely illustrative of the principles of the invention, and that various changes and modifications may be made therein without departing from the scope of the principles of the invention.
Claims (2)
1. The road structure disease detection device based on the laser Doppler technology is characterized by comprising a road settlement speed detection device, a dynamic load detection device and a distance measurement device;
the road settlement speed detection device mainly comprises laser Doppler velocimeters, optical fiber gyroscopes, velocimeter controllers, digital signal synchronous collectors, industrial personal computers and mounting supports, wherein three laser Doppler velocimeters are sequentially mounted and fixed on the mounting supports at equal intervals along the vehicle running direction, the optical fiber gyroscopes are arranged on the mounting supports between adjacent laser Doppler velocimeters, the mounting supports are fixedly mounted on side plates of a bearing platform, the laser Doppler velocimeters in the middle of the mounting supports are aligned to the positions right below the axes of rear wheel shafts, the laser Doppler velocimeters are respectively connected to the velocimeter controllers through special cables, the velocimeter controllers and the optical fiber gyroscopes are respectively connected to the digital signal synchronous collectors through cables, and the digital signal synchronous collectors transmit collected data to the industrial personal computers for storage and analysis;
the dynamic load detection device mainly comprises a laser range finder, an acceleration sensor and an infrared temperature detector, wherein the laser range finder is used for detecting the real-time distance between the bearing shaft and the road surface and calculating the real-time load applied to the road surface according to the distance, and the infrared temperature detector is used for detecting the tire temperature change in real time and correcting the load applied to the road surface in real time; correcting the load applied to the road surface in real time by using the data of the acceleration sensor;
the distance measuring device mainly comprises an incremental encoder, a counter card and an encoder mounting frame, wherein the incremental encoder is mounted on the hub through the encoder mounting frame and collects distance information through the counter card, and the collected distance information is corrected in real time through laser distance measuring instrument data.
2. The road structure disease detection method based on the laser Doppler technology is characterized by comprising the following specific steps:
(1) the road structure disease detection device based on laser Doppler technology of claim 1 is powered on and preheated for 30 minutes, then the detection is started, and the Doppler data V measured at the position where the second laser Doppler velocimeter is located2By the speed component V of the vehicle during its travelV2And a velocity component V due to the pitching during the running of the vehicleA2The second laser Doppler velocimeter is positioned at a combined position of road surface pressure application and release, so that the sedimentation velocity is 0 and V2=VV2+VA2;
(2) Doppler data V measured by the position of the first laser Doppler velocimeter1Except for including a vehicle speed component V generated during the running of the vehicleV1And a velocity component V due to the pitching during the running of the vehicleA1In addition, the vehicle also comprises a velocity component V generated by the pitching motion of the vehicleY1So that the settlement velocity due to the road surface load is VC1=V1-V2-VY1Since the angular velocity measured by the optical fiber gyro is VGThe distance between the first laser Doppler velocimeter and the second laser Doppler velocimeter is L, so VY1=VG*L, then VC1=V1-V2-VGL; the settlement velocity V measured by the position of the third laser Doppler velocimeter can be calculated in the same wayC3=V3-V2+VG*L;
(3) V determined from the calculationC1And VC3The data curve accurately judges the road structural diseases when the road structural diseases are VC1And VC3When the absolute value is simultaneously increased, the initial identification is caused by the discontinuity of the road structure; when V isC1Increase and VC3The initial identification of the absolute value reduction is caused by road structural cracks or reflection cracks; when V isC1Increase and VC3The initial determination is that the basic invariance is caused by insufficient bearing capacity of the road subgrade, the rapid detection of structural diseases of semi-rigid base roads in each period is finally realized, the purpose of early detection and early processing is achieved, and the method is suitable for the initial detection of the semi-rigid base roads.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101205700A (en) * | 2006-12-22 | 2008-06-25 | 南京理工大学 | Laser rapid detecting system for pavement deflection |
CN102444079A (en) * | 2011-09-16 | 2012-05-09 | 武汉武大卓越科技有限责任公司 | Pavement deflection measuring system and measuring method |
CN202559215U (en) * | 2012-01-06 | 2012-11-28 | 北京市路兴公路新技术有限公司 | Rapid detection device for pavement deflection |
EP2800964A4 (en) * | 2012-08-31 | 2015-03-18 | Systèmes Pavemetrics Inc | Method and apparatus for detection of foreign object debris |
CN104929024A (en) * | 2015-06-15 | 2015-09-23 | 广西大学 | Road surface evenness detector and road surface evenness measuring method |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101205700A (en) * | 2006-12-22 | 2008-06-25 | 南京理工大学 | Laser rapid detecting system for pavement deflection |
CN102444079A (en) * | 2011-09-16 | 2012-05-09 | 武汉武大卓越科技有限责任公司 | Pavement deflection measuring system and measuring method |
CN202559215U (en) * | 2012-01-06 | 2012-11-28 | 北京市路兴公路新技术有限公司 | Rapid detection device for pavement deflection |
EP2800964A4 (en) * | 2012-08-31 | 2015-03-18 | Systèmes Pavemetrics Inc | Method and apparatus for detection of foreign object debris |
CN104929024A (en) * | 2015-06-15 | 2015-09-23 | 广西大学 | Road surface evenness detector and road surface evenness measuring method |
Non-Patent Citations (1)
Title |
---|
基于动态弯沉测试的高速公路沥青路面的结构强度评价;陈智敏;《工程科技II辑》;20160331(第03期);第11页-第28页 * |
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